https://engineering.wustl.edu/Profiles/Pages/Roch-Guérin.aspx23Roch Guérin<img alt="Roch Guérin" src="/Profiles/PublishingImages/Guerin_Guerin.jpg?RenditionID=6" style="BORDER:0px solid;" />Professor & Department ChairRoch Guérin - Computer Science & Engineering - ​International leader in the field of computer networking​​​​PhD, California Institute of Technology, 1986<br/>MS, California Institute of Technology, 1984<br/>BS, ENST Paris<div><br/> <p>  <a href="https://scholar.google.com/citations?user=54w2_AcAAAAJ&hl=en"><img src="/Profiles/PublishingImages/gscholar.png" alt="" style="margin: 0px 0px -5px;"/> Google Scholar</a></p></div>http://www.cse.wustl.edu/~guerin/<p>​​Department Chair</p><p>Harold B. & Adelaide G. Welge Professor of Computer Science</p><h3>Expertise<br/></h3><p>Computer networks, cloud computing, performance analysis, and network economics</p><h3>Research</h3>Roch Guérin is an international leader in the field of computer networking, both for his major research contributions and his dedication to serving the community. He is widely recognized for his contributions to understanding the fundamentals of data network design and how networks can be designed to provide desired quality of service guarantees. His work was among the earliest in this area and is credited with laying the foundation for later work. He also made early contributions in wireless and cellular networks. His current research interests are in networked systems including aspects of network economics.​<div><br/>He has published research in a variety of journals and served on advisory boards of international telecommunications companies. He is an ACM and IEEE Fellow and since 2013 has been a member of the the <a href="http://util.acm.org/boards/listing.cfm?id=82">ACM Publications Board</a>.</div><div><br/></div><div><h3>​Biography</h3><p>Professor Guérin became chair of the Computer Science & Engineering department at Washington University in St. Louis in July 2013. He was previously the Alfred Fitler Moore Professor of Telecommunications Networks and professor of electrical and systems engineering and computer and information science at the University of Pennsylvania, where he had been on the faculty since 1998. Previously, he spent 12 years at the IBM T.J. Watson Research Center.</p></div><img alt="" src="/Profiles/ResearchImages/Guerin_research2.jpg?RenditionID=13" style="BORDER:0px solid;" /><p>314-935-6165<br/><a href="mailto:guerin@wustl.edu">guerin@wustl.edu</a><br/>Jolley Hall, Room 304C​</p> <a href="https://www.youtube.com/watch?v=-DpwXuLDBy0">play video</a><ul><li>​<a href="/news/Pages/Washington-University-opens-computer-science-course-to-Harris-Stowe-State-University-students.aspx" style="background-color: #ffffff;">WashU opens computer science course to Harris-Stowe State University students</a><br/></li></ul>
https://engineering.wustl.edu/Profiles/Pages/Kunal-Agrawal.aspx24Kunal Agrawal<img alt="Kunal Agrawal" src="/Profiles/PublishingImages/Agrawal_Kunal.jpg?RenditionID=6" style="BORDER:0px solid;" />Associate ProfessorKunal Agrawal - Computer Science & Engineering - ​National Science Foundation CAREER award recipient​​PhD, Massachusetts Institute of Technology, 2009<br/>MS, National University of Singapore, 2002<br/>BE, Mumbai University, 2001 <div> <br/> </div><p>  <a href="https://scholar.google.com/citations?user=W362rUwAAAAJ&hl=en&oi=ao"><img src="/Profiles/PublishingImages/gscholar.png" alt="" style="margin: 0px 0px -5px;"/> Google Scholar</a></p>http://www.cse.wustl.edu/~kunal/<p>Associate Professor​</p><h3>Research</h3><p>Kunal Agrawal is interested in many aspects of parallel computing and works primarily on design of provably good runtime systems for parallel programming environments. She has worked on various topics such as scheduling, resource allocation, transactional memory, cache-aware, and cache-oblivious streaming.​​</p><h3>Biography</h3><p>In 2009, Professor Agrawal joined the Washington University in St. Louis faculty after she worked with Professor Charles Leiserson in the Massachusetts Institute of Technology Supercomputing Technologies Group. </p><p>The goal of her 2012 National Science Foundation CAREER Award, "Provably Good Concurrency Platforms for Streaming Applications," is to design platforms that will allow programmers to easily write correct and efficient high-throughput parallel programs.</p><img alt="" src="/Profiles/ResearchImages/shield_red.jpg?RenditionID=13" style="BORDER:0px solid;" /><p>​314-935-4838<br/><a href="mailto:kunal@wustl.edu">kunal@wustl.edu</a><br/>Jolley Hall, Room 514​</p><ul><li><a href="/news/Pages/Computer-programming-may-get-easier-with-new-WashU-research.aspx">Computer programming may get easier with new WashU research</a><br/></li></ul>
https://engineering.wustl.edu/Profiles/Pages/Sanjoy-Baruah.aspx119Sanjoy Baruah<img alt="" src="/Profiles/PublishingImages/Baruah_Sanjoy.jpg?RenditionID=6" style="BORDER:0px solid;" />​ProfessorSanjoy Baruah - Computer Science & Engineering - ​Studies real-time & safety-critical system design<p>PhD, The University of Texas at Austin, 1993 <br/>MS, The University of Texas at Austin, 1989 <br/>B. Tech,. The Indian Institute of Technology - Delhi, 1987<br/></p><p>  <a href="https://scholar.google.com/citations?user=qC7oNRUAAAAJ&hl=en&oi=ao"><img src="/Profiles/PublishingImages/gscholar.png" alt="" style="margin: 0px 0px -5px;"/> Google Scholar</a><br/></p>https://sites.wustl.edu/baruah/<p>​Professor<br/></p><h3>​Research</h3><p>Sanjoy Baruah’s research is in scheduling theory; real-time and safety-critical system design; computer networks; resource allocation and sharing in distributed computing environments.<br/></p><h3>​Biography</h3><p>Professor Baruah joined Washington University in St. Louis in September 2017. He was previously at the University of North Carolina at Chapel Hill (1999-2017) and the University of Vermont (1993-1999). His research interests and activities are in real-time and safety-critical system design, scheduling theory, resource allocation and sharing in distributed computing environments, and algorithm design and analysis. He is a Fellow of the IEEE, and the recipient of the 2014 Outstanding Technical Contributions and Leadership Award of the IEEE Technical Committee on Real-Time Systems.</p><img alt="" src="/Profiles/ResearchImages/shield_red.jpg?RenditionID=13" style="BORDER:0px solid;" /><p>​314-935-7546<br/><a href="mailto:baruah@wustl.edu">baruah@wustl.edu</a><br/>Jolley Hall, Room 404<br/></p>
https://engineering.wustl.edu/Profiles/Pages/Aaron-Bobick.aspx98Aaron Bobick<img alt="" src="/Profiles/PublishingImages/Bobick_Aaron.jpg?RenditionID=6" width="293" style="BORDER:0px solid;" />Dean & ProfessorAaron Bobick - Computer Science & Engineering - Studies how robots can more efficiently interact with objects​PhD, Massachusetts Institute of Technology, 1987<br/>SB, Massachusetts Institute of Technology, 1981​​ <div> <br/> </div><p> <a href="https://scholar.google.com/citations?user=rynvwScAAAAJ&hl=en"><img src="/Profiles/PublishingImages/gscholar.png" alt="" style="margin: 0px 0px -5px;"/> Google Scholar</a><br/><a href="/deansblog"><img src="/PublishingImages/blog.png" alt="" style="margin: 0px 0px -5px;"/> Dean's Blog</a><br/><a href="/podcast"><img src="/PublishingImages/podcast.png" alt="" style="margin: 0px 0px -5px;"/> Podcast</a></p><p>​Dean​ & <span><span>James M. McKelvey Professor</span></span><br/></p><p><a href="/podcast"><img src="/PublishingImages/podcast_Bobick.jpg" alt="Podcast" class="ms-rtePosition-2" style="margin: 15px;"/></a>Aaron Bobick joined Washington University in St. Louis as Dean of the School of Engineering & Applied Science and the James M. McKelvey Professor July 1, 2015. Prior to Washington University, he was a professor and founding chair of the School of Interactive Computing at the Georgia Institute of Technology, where he was a member of the faculty since 1999.</p><div style="display: inline;"><p>Dean Bobick's research primarily focuses on action recognition by computer vision, a field in which he is a pioneer. Recently he has extended his research to robot perception for human-robot collaboration. While at Georgia Tech, he served as director of the Graphics, Visualization and Usability Center, an internationally known research center in computer vision, graphics, ubiquitous​ computing and human-computer interaction, and helped develop a computational media bachelor’s degree program and doctoral programs in robotics and human centered computing. </p><p>Dean Bobick is a graduate of the Massachusetts Institute of Technology (MIT), where he earned his bachelor's degrees in mathematics and computer science and his doctorate in cognitive science. Prior to joining the Georgia Tech faculty, he served as a member of the MIT Media Laboratory faculty, where he led the Media Lab Defense Advanced Research Projects Agency (DARPA) Video Surveillance and Monitoring Project, as well as its Dynamic Scene Analysis research effort. </p><p>He also has served as a senior area chair for numerous international computer vision conferences and as program chair for the Institute of Electrical and Electronics Engineers (IEEE) Conference on Computer Vision and Pattern Recognition. He has founded a variety of successful startup companies, is a distinguished scientist of the Association for Computing Machinery and was elected a Fellow of the IEEE in 2014.<br/></p></div><br/><br/><img alt="" src="/Profiles/ResearchImages/Preview-Night-banner.jpg?RenditionID=13" style="BORDER:0px solid;" /><p>314-935-6350<br/><a href="mailto:afb@wustl.edu">afb@wustl.edu<br/></a>Brauer Hall, Room 1019 </p><p></p><p></p><ul><li><a href="http://www.foxnews.com/opinion/2017/11/24/stop-talking-about-need-for-computer-science-and-start-teaching-it.html">Stop talking about the need for computer science and start teaching it</a><br/></li><li> <a href="/news/Pages/Bobick-installed-as-James-M--McKelvey-Professor.aspx" style="background-color: #ffffff;">Bobick installed ​as the James M. McKelvey Professor</a><br/></li><li> <a href="/news/Pages/Bobick-installed-as-James-M--McKelvey-Professor.aspx" style="line-height: 1.6; background-color: #ffffff;">​</a><a href="/news/Pages/Aaron-Bobick-named-dean-of-School-of-Engineering-Applied-Science%E2%80%8B.aspx" style="background-color: #ffffff;">Bobick named dean of School of Engineering & Applied Science​</a><br/></li></ul> <a href="/news/Pages/Bobick-installed-as-James-M--McKelvey-Professor.aspx" style="line-height: 1.6; background-color: #ffffff;"></a> <p></p><p></p>
https://engineering.wustl.edu/Profiles/Pages/Michael-Brent.aspx25Michael Brent<img alt="Michael Brent" src="/Profiles/PublishingImages/Brent_Michael.jpg?RenditionID=6" style="BORDER:0px solid;" />ProfessorMichael Brent - Computer Science & Engineering - ​Studies circuits that control gene expression​​PhD, Massachusetts Institute of Technology, 1991<br/>BS, Massachusetts Institute of Technology, 1985 <div><p>  <a href="https://scholar.google.com/citations?user=YE2tPHQAAAAJ&hl=en"><img src="/Profiles/PublishingImages/gscholar.png" alt="" style="margin: 0px 0px -5px;"/> Google Scholar</a></p></div>http://mblab.wustl.edu/<p>​​Henry Edwin Sever Professor of Engineering</p><h3>Expertise<br/></h3><div><p></p><p>Computational genomics, computational systems biology, and applications of machine learning to biology<br/></p></div><h3>Research<br/></h3><div><p></p><p>The Brent Lab is developing and applying mathematical and computational methods for mapping gene regulation networks, modeling them quantitatively, and synthesizing new network designs in living cells. Michael Brent and his team are driven by the conviction that probabilistic and dynamical systems modeling need not be merely a theoretical or descriptive exercise – predictive models can be applied now in ways that impact our daily choice of experiments to carry out and enable a deeper, systems level understanding of how gene regulation interacts with cellular physiology. </p><p>Professor Brent believes that modeling is most useful when it guides experiments in a tight feedback loop. Models of transcriptional regulatory networks have their greatest impact when constructed for the purpose of explaining how specific physiological outcomes are regulated, and synthetic regulatory circuits are most interesting when they are interfaced to meaningful cellular physiology. The drive to apply mathematical and computational methods to complex, biologically meaningful problems has led his team to a number of projects in which molecular experiments are driven by predictive models.<br/></p><h3>Biography</h3><p></p>After completing his PhD in Computer Science at MIT, Professor Brent served as Assistant and Associate Professor of Cognitive Science at the Johns Hopkins University, where his research focused on computational modeling of how children learn language.<div><br/>He brought these interests to Washington University in St. Louis in 1999, where he developed a second research program in computational biology and eventually phased out computational linguistics. From 2001 to 2008 he focused on computational and molecular methods for improving the accuracy of genome annotation. Since 2008, Professor Brent has focused on computational and molecular methods for mapping and modeling gene regulation networks.</div><div><br/>Professor Brent was elected Fellow of the American Association for the Advancement of Science (AAAS) in 2012.</div></div><img alt="" src="/Profiles/ResearchImages/Brent_research.jpg?RenditionID=13" style="BORDER:0px solid;" /><p>314-286-0210<br/><a href="mailto:brent@wustl.edu">brent@wustl.edu</a><br/>Center for Genome Sciences<br/>& Systems Biology<br/>4515 McKinley Ave., 4th floor,<br/>Room 4307<br/></p><ul><li><a href="/news/Pages/Changing-cell-behavior-could-boost-biofuels-medicine.aspx" style="background-color: #ffffff;">​Changing cell behavior could boost biofuels, medicine</a><br/></li><li><a href="http://www.sciencedirect.com/science/article/pii/S0168952516301019" style="background-color: #ffffff;">Past Roadblocks and New Opportunities in Transcription Factor Network Mapping</a><br/></li></ul><p><br/></p>
https://engineering.wustl.edu/Profiles/Pages/Jeremy-Buhler.aspx26Jeremy Buhler<img alt="Jeremy Buhler" src="/Profiles/PublishingImages/Buhler_Jeremy.jpg?RenditionID=6" style="BORDER:0px solid;" />ProfessorJeremy Buhler - Computer Science & Engineering - Accelerates analyses of massive biological sequence databases​​PhD, University of Washington, 2001<br/>MS, University of Washington, 1998<br/>BA, Rice University, 1996<br/><br/> <p>  <a href="https://scholar.google.com/citations?user=yQXfAWMAAAAJ&hl=en"><img src="/Profiles/PublishingImages/gscholar.png" alt="" style="margin: 0px 0px -5px;"/> Google Scholar</a></p>http://www.cse.wustl.edu/~jbuhler/<p>​​Professor</p><h3>Research</h3>Advances in high-throughput DNA sequencing have led to a proliferation of sequence-based methods for genomics, metagenomics, transcriptomics and other large-scale molecular surveys at levels from individual cells, to organisms, all the way up to entire ecosystems. The challenge now is to efficiently aggregate, integrate, and search these data sets to make new discoveries and connections.<div><br/>Jeremy Buhler's research focuses on developing algorithms and tools for large-scale computational analyses of biological sequences. He works to improve and generalize the heuristics at the heart of highly scalable computational tools for genomic, metagenomic, transcriptomic, and proteomic analysis, using ideas from probabilistic and randomized algorithms. These ideas have produced principled strategies to accelerate search in databases of sequences and probabilistic sequence models, as well as pattern discovery challenges such as motif finding.</div><div><br/>Building computational infrastructure for next-generation sequence analyses also presents challenges of hardware and software design. By constructing accelerators for these analyses on parallel computing devices such as field programmable gate arrays (FPGAs) and graphics processors (GPUs), Professor Buhler exposes and addresses challenges to using these devices effectively. Recent work includes throughput-optimized mappings of dynamic programming recurrences to systolic arrays, design of deadlock-free dataflow applications in the presence of data filtering, and efficient mapping of work ensembles to threads on GPUs for irregular applications such as short-read aligners.​</div><div><h3>Biography​​</h3><p>In 2001, Professor Buhler joined the faculty at Washington University in St. Louis. He currently has secondary appointments in the Genetics Department of the Division of Biological and Biomedical Sciences (DBBS) and in the Biology Department in the College of Arts & Sciences.</p></div><img alt="" src="/Profiles/ResearchImages/shield_red.jpg?RenditionID=13" style="BORDER:0px solid;" /><p>314-935-6180<br/><a href="mailto:jbuhler@wustl.edu">jbuhler@wustl.edu</a><br/>Jolley Hall, Room 506​</p><ul><li><a href="/news/Pages/WashU-research-seeks-to-make-computer-processors-more-efficient.aspx">WashU research seeks to make computer processors more efficient</a><br/></li></ul>
https://engineering.wustl.edu/Profiles/Pages/Ayan-Chakrabarti.aspx117Ayan Chakrabarti<img alt="" src="/Profiles/PublishingImages/Chakrabarti_Ayan2.jpg?RenditionID=6" style="BORDER:0px solid;" />​Assistant ProfessorAyan Chakrabarti - Computer Science & Engineering - Develops algorithms & cameras that enable visual understanding by machines<p>PhD, Harvard University, 2011<br/>SM, Harvard University, 2008<br/>BTech & MTech, Indian Institute of Technology Madras, 2006<br/></p><p><span style="font-size: 0.9em;">  </span><a href="https://scholar.google.com/citations?user=0v5utcwAAAAJ" style="font-size: 0.9em; background-color: #ffffff;"><img src="/Profiles/PublishingImages/gscholar.png" alt="" style="margin: 0px 0px -5px;"/> Google Scholar</a></p>http://www.cse.wustl.edu/~ayan/<p>​Assistant Professor<br/></p><h3>​Research<br/></h3><p>Professor Chakrabarti's research interests are in the fields of computer vision, computational photography, and machine learning. He works on developing systems that can recover physical reconstructions and semantic descriptions of the world from visual measurements, for applications in robotics and autonomous vehicles, consumer photography, graphics and virtual reality, and more. His research focuses on ways to learn and exploit the statistical structure of natural images and scenes, to design efficient and accurate inference algorithms, as well as new kinds of high-capability sensors and cameras.<br/></p><h3>Biography<br/></h3><div>In September 2017, Professor Chakrabarti joins Washington University in St. Louis.<br/><br/>He was a research assistant professor at the Toyota Technological Institute at Chicago, and a post-doctoral fellow at Harvard University. His research has been supported by a grant from the NSF, gifts from Adobe Research, and a hardware donation from NVIDIA.<br/></div><img alt="" src="/Profiles/ResearchImages/A_Chakrabarti_research.jpg?RenditionID=13" style="BORDER:0px solid;" /><p>​314-935-4125<br/><a href="mailto:ayan@wustl.edu">ayan@wustl.edu</a><br/>Jolley Hall, Room 205<br/></p>
https://engineering.wustl.edu/Profiles/Pages/Roger-Chamberlain.aspx27Roger Chamberlain<img alt="Roger Chamberlain" src="/Profiles/PublishingImages/Chamberlain_Roger.jpg?RenditionID=6" style="BORDER:0px solid;" />ProfessorRoger Chamberlain - Computer Science & Engineering - Works with VelociData, Inc., a St. Louis firm commercializing university technology for fast data analysis​​DSc, Washington University in St. Louis, 1989<br/>MS, Washington University in St. Louis, 1985<br/>BS, Washington University in St. Louis, 1983 <p>  <a href="https://scholar.google.com/citations?user=fAw_t5EAAAAJ&hl=en"><img src="/Profiles/PublishingImages/gscholar.png" alt="" style="margin: 0px 0px -5px;"/> Google Scholar</a></p>http://www.ccrc.wustl.edu/~roger/<p>​​Professor​</p><h3>Expertise<br/></h3><div><p>Architecturally diverse computing systems</p></div><h3>Research<br/></h3><div><p>Roger Chamberlain's research interests include specialized computer architectures for a variety of applications (e.g., astrophysics and biology), high-performance parallel and distributed application development, energy-efficient computation, and high-capacity I/O systems.​<br/></p><h3>Biography​</h3>Professor Chamberlain has been a faculty member at Washington University in St. Louis since 1989. He teaches in the areas of digital systems, parallel processing, computer architecture, embedded systems and reconfigurable logic.<div>​​<br/>Professor Chamberlain currently works with Exegy, Inc. and VelociData, Inc., two St. Louis firms commercializing university technology for data analysis. He also engages in significant consulting activities with BECS Technology, a St. Louis firm manufacturing microprocessor-based controls for a number of interesting application areas. He helped form all three of the above companies.​</div></div><img alt="" src="/Profiles/ResearchImages/Chamberlain_research.jpg?RenditionID=13" style="BORDER:0px solid;" /><p>​314-935-5708<br/><a href="mailto:roger@wustl.edu">roger@wustl.edu</a><br/>Jolley Hall, Room 210​​</p><ul><li><a href="/news/Pages/WashU-research-seeks-to-make-computer-processors-more-efficient.aspx" style="background-color: #ffffff;">WashU research seeks to make computer processors more efficient</a><br/></li></ul>
https://engineering.wustl.edu/Profiles/Pages/Yixin-Chen.aspx28Yixin Chen<img alt="Yixin Chen" src="/Profiles/PublishingImages/Chen_Yixin.jpg?RenditionID=6" style="BORDER:0px solid;" />ProfessorYixin Chen - Computer Science & Engineering - ​Develops algorithms to extract knowledge from massive amount of data​​​PhD, University of Illinois, 2005<br/>MSc, University of Illinois, 2001<br/>BSc, University of Science and Technology of China, 1999 <p>  <a href="https://scholar.google.com/citations?user=NByrsK0AAAAJ&hl=en"><img src="/Profiles/PublishingImages/gscholar.png" alt="" style="margin: 0px 0px -5px;"/> Google Scholar</a></p>http://www.cse.wustl.edu/~chen/Professor<h3>Research</h3>Yixin Chen's research interests are in the general areas of nonlinear optimization, artificial intelligence, data warehousing and data mining. He is particularly interested in large-scale constrained nonlinear optimization in discrete, continuous and mixed-integer spaces.​<h3>Biography​</h3><p>​In September 2005, Professor Chen joined the faculty at Washington University in St. Louis. He has a number of awards including the Microsoft Research New Faculty Fellowship and the Department of Energy Early Career Principal Investigator Award. Professor Chen also serves his professional societies as a programming committee member, fund reviewer and National Science Foundation review panelist.</p><img alt="" src="/Profiles/ResearchImages/shield_red.jpg?RenditionID=13" style="BORDER:0px solid;" /><p>314-935-7528<br/><a href="mailto:ychen25@wustl.edu">ychen25@wustl.edu</a><br/>Jolley Hall, Room 502​<br/></p><ul><li><a href="/news/Pages/WUSTL-researchers-developing-hospital-patient-early-warning-system.aspx" style="background-color: #ffffff;">WashU researchers developing hospital patient early warning system</a><br/></li></ul>
https://engineering.wustl.edu/Profiles/Pages/Steve-Cole.aspx131Steve Cole<img alt="" src="/Profiles/PublishingImages/Steve%20Cole%202017.JPG?RenditionID=6" style="BORDER:0px solid;" />LecturerSteve Cole - Computer Science & Engineering - ​PhD, Washington University in St. Louis, 2017<br/>MS, University of California at Riverside, 2009<br/>BA, Benedictine College, 2006<br/>https://sites.wustl.edu/cole/<p>​Lecturer<br/></p><p>​Steve Cole joined the Washington University in St. Louis teaching faculty as a Lecturer in 2017. His research interests include parallel computing and accelerating streaming applications on GPUs. <br/></p><p>​<span style="color: #444444; text-align: center;">314-935-6732</span><br style="color: #444444; text-align: center;"/><a href="mailto:svcole@wustl.edu" style="background-color: #ffffff; text-align: center;">svcole@wustl.edu<br/></a><span style="color: #444444; text-align: center;">Jolley Hall, Room 223</span><br/></p>
https://engineering.wustl.edu/Profiles/Pages/Dennis-Cosgrove.aspx130Dennis Cosgrove<img alt="" src="/Profiles/PublishingImages/Dennis%20Cosgrove.jpg?RenditionID=6" style="BORDER:0px solid;" />Professor of the PracticeDennis Cosgrove - Computer Science & Engineering - Professor of the Practice
https://engineering.wustl.edu/Profiles/Pages/Patrick-Crowley.aspx29Patrick Crowley<img alt="Patrick Crowley" src="/Profiles/PublishingImages/Crowley_Patrick.jpg?RenditionID=6" style="BORDER:0px solid;" />ProfessorPatrick Crowley - Computer Science & Engineering - Computer & Network Systems Architect​​​PhD, University of Washington, 2003<br/>BA, Illinois Wesleyan University, 1996<div><br/><div><a href="https://twitter.com/p_crowley"><img src="/newsletter/PublishingImages/twitter_icon.png" alt="twitter" style="margin: 0px 0px -5px;"/> @p_crowley</a><div> <p><a href="https://scholar.google.com/citations?user=n6wC7nwAAAAJ&hl=en"><img src="/Profiles/PublishingImages/gscholar.png" alt="" style="margin: 0px 0px -5px;"/> Google Scholar</a></p></div></div></div>http://www.arl.wustl.edu/~pcrowley/Professor<br/><h3>Research</h3><div>While Patrick Crowley's interests span several areas at the intersection of computer architecture and networking systems, his current research projects focus on the design and implementation of scalable networking systems and security. The Applied Research Laboratory also operates multiple public networking research testbeds, including the ​Open Network Lab and the Global ND​N Testbed.<br/></div><div><h3>​Biography</h3><p></p><div>Professor Crowley is director of the Applied Research Laboratory. His research career began at the University of Washington where he earned a PhD in Computer Science & Engineering for his work in the design and evaluation of processor and memory architectures for high-performance networking, a line of research that predated and subsequently influenced the development of commercial network processors.  <br/> <br/>Professor Crowley is founder and Chief Technology Officer of <a href="http://www.observable.net/">Observable Networks</a>, which has commercialized his endpoint modeling technology. He is co-editor of the three-book series, Network Processor Design and co-founded the ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS), a premier research conference in the area of high-speed networking systems. In 2007, Professor Crowley was chosen to join the DARPA Computer Science Study Group.</div></div><img alt="" src="/Profiles/ResearchImages/Crowley_servers.jpg?RenditionID=13" style="BORDER:0px solid;" /><p>​314-935-9186<br/><a href="mailto:pcrowley@wustl.edu">pcrowley@wustl.edu</a><br/>Jolley Hall, Room 215​</p><blockquote style="margin: 0px 0px 0px 40px; border: none; padding: 0px;"><p>​<br/></p></blockquote><ul><li>​<a href="/news/Pages/Crowley-to-further-study-Named-Data-Networking-with-NSF-grant.aspx" style="line-height: inherit; background-color: #ffffff;">Crowley to further study Named Data Networking with NSF grant​</a><br/></li><li> <a href="/news/Pages/Observable-Networks.aspx">Cybersecurity platform Observable Networks poised for growth</a></li><li> <a href="/news/Pages/Building-a-better-internet.aspx">Building a better internet</a><br/></li><li> <a href="/news/Pages/WashU-Expert-Preventing-WannaCry-other-ransomware-attacks.aspx" rtenodeid="3" style="background-color: #ffffff; outline: 0px;">Preventing WannaCry, other ransomware attacks</a><br rtenodeid="5"/></li></ul>
https://engineering.wustl.edu/Profiles/Pages/Ron-Cytron.aspx30Ron Cytron<img alt="" src="/Profiles/PublishingImages/Cytron_Ron_2016.jpg?RenditionID=6" style="BORDER:0px solid;" />ProfessorRon Cytron - Computer Science & Engineering - ​Co-author of a textbook, Crafting a Compiler​​PhD, University of Illinois, 1984<br/>MS, University of Illinois, 1982<br/>BS, Rice University, 1980http://www.cse.wustl.edu/~cytron/<p>​​Professor & Associate Department Chair<br/></p><h3>Expertise<br/></h3><p>Real-Time Systems, Programming Languages <br/></p><h3>Research</h3><p>Ron Cytron's research interests include automatic program optimization and transformation (especially of network software and middleware), voting strategies suitable for the Internet and storage-management systems suitable for object-oriented programs.​<br/></p><h3>Biography</h3><p>​Professor Cytron was a Research Staff Member at IBM's Thomas J. Watson Research Center from 1984 to 1993 before he joined the faculty at Washington University in St. Louis.<br/></p><img alt="" src="/Profiles/ResearchImages/shield_red.jpg?RenditionID=13" style="BORDER:0px solid;" /><p>​314-935-7527<br/><a href="mailto:cytron@wustl.edu">cytron@wustl.edu</a><br/>Jolley Hall, Room 304B​</p><ul><li><a href="/news/Pages/Code-Collaboration.aspx" style="background-color: #ffffff;">Code Collaboration</a><br/></li><li> <a href="/news/Pages/WashU-expands-partnership-with-LaunchCode-for-Summer-of-Code-.aspx">WashU expands partnership with LaunchCode for Summer of Code</a><br/></li></ul>
https://engineering.wustl.edu/Profiles/Pages/Sanmay-Das.aspx31Sanmay Das<img alt="Sanmay Das" src="/Profiles/PublishingImages/Das_Sanmay.jpg?RenditionID=6" style="BORDER:0px solid;" />Associate ProfessorSanmay Das - Computer Science & Engineering - ​National Science Foundation CAREER award recipient​​​​PhD, Massachusetts Institute of Technology, 2006<br/>MS, Massachusetts Institute of Technology, 2003<br/>AB, Harvard College, 2001 <p>  <a href="https://scholar.google.com/citations?user=HRSDO6IAAAAJ&hl=en"><img src="/Profiles/PublishingImages/gscholar.png" alt="" style="margin: 0px 0px -5px;"/> Google Scholar</a></p>http://www.cse.wustl.edu/~sanmay/<p>​​​​Associate Professor</p><h3>Research</h3><div>Sanmay Das's research lies in designing effective algorithms for agents in complex, uncertain environments and in understanding the social or collective outcomes of individual behavior. He has broad interests across computational social science (market microstructure, matching markets, social networks) and machine learning (reinforcement learning, sequential decision-making, supervised learning, data mining).​<br/></div><div><h3>​Biography</h3><p>After working as an Assistant Professor at Rensselaer Polytechnic Institute and an Associate Professor at Virginia Tech, Professor Das joined the faculty at Washington University in St. Louis. ​</p><div>Professor Das is the recipient of an NSF CAREER Award and is currently vice-chair of the ACM Special Interest Group on Artificial Intelligence. He has served as program co-chair of AMMA, as workshop chair of ACM EC, and as sponsorship co-chair of AAMAS, in addition to serving on the program committees and senior program committees of many conferences in artificial intelligence and machine learning, including AAAI, IJCAI and ICML.</div> <br/> </div><img alt="" src="/Profiles/ResearchImages/shield_red.jpg?RenditionID=13" style="BORDER:0px solid;" /><p>​314-935-4274<br/><a href="mailto:sanmay@wustl.edu">sanmay@wustl.edu</a><br/>Jolley Hall, Room 512​</p><ul><li> <a href="/news/Pages/Computer-Science--Engineering-to-host-Big-Data-Analytics-REU-summer-program.aspx">Computer Science & Engineering to host Big Data Analytics REU summer program</a><br/></li><li><a href="/news/Pages/WashU-computer-scientist-considers-competitions-effect-on-social-welfare.aspx">WashU computer scientist considers competition's effect on social welfare</a></li></ul>
https://engineering.wustl.edu/Profiles/Pages/Roman-Garnett.aspx96Roman Garnett<img alt="" src="/Profiles/PublishingImages/Garnett_Roman.jpg?RenditionID=6" style="BORDER:0px solid;" />​​Assistant ProfessorRoman Garnett - Computer Science & Engineering - Researches​ new Bayesian machine-learning techniques​​​PhD, University of Oxford, 2010<br/>MS, Washington University in St. Louis, 2004<br/>AB, Washington University in St. Louis, 2004​ <div> <br/> </div><p>  <a href="https://scholar.google.com/citations?user=CUkAtC4AAAAJ&hl=en"><img src="/Profiles/PublishingImages/gscholar.png" alt="" style="margin: 0px 0px -5px;"/> Google Scholar</a></p>https://sites.wustl.edu/machinelearning/<p>​​​Assistant Professor</p><h3>Research</h3>
Professor Garnett's main research interest is developing new Bayesian machine-learning techniques for sequential decision making under uncertainty. He is particularly interested in active learning—especially with atypical objectives—Bayesian optimization, intelligent approaches to approximate Bayesian inference, and Bayesian quadrature. ​He is also interested in learning problems involving large-scale graph data.<div><h3>​​Biography</h3><p>Professor Garnett came to WashU in January 2015.</p></div><img alt="" src="/Profiles/ResearchImages/Garnett_research.jpg?RenditionID=13" style="BORDER:0px solid;" /><p>314-935-4992<br/><a href="mailto:scg@wustl.edu"><span><span></span></span></a><a href="mailto:%E2%80%8Bgarnett@wustl.edu%E2%80%8B">​garnett@wustl.edu​</a>​​<br/>Jolley Hall, Room 504​<br/></p><ul><li><a href="/news/Pages/WashU-computer-scientists-part-of-$8M-big-data-research-grant.aspx" style="background-color: #ffffff;">WashU computer scientists part of $8M big data research grant</a><br/></li></ul>
https://engineering.wustl.edu/Profiles/Pages/Christopher-Gill.aspx33Christopher Gill<img alt="Christopher Gill" src="/Profiles/PublishingImages/Gill_Chris_2018.jpg?RenditionID=6" style="BORDER:0px solid;" />ProfessorChristopher Gill - Computer Science & Engineering - ​National Science Foundation CAREER award recipient​​DSc, Washington University in St. Louis, 2002<br/>MS, Missouri University of Science & Technology, 1997<br/>BA, Washington University in St. Louis, 1987 <div> <br/> </div><p>  <a href="https://scholar.google.com/citations?user=G7D5O-0AAAAJ&hl=en"><img src="/Profiles/PublishingImages/gscholar.png" alt="" style="margin: 0px 0px -5px;"/> Google Scholar</a></p>http://www.cse.wustl.edu/~cdgill/<p>​Professor</p><h3>Research</h3>Professor Gill's research focuses on assuring properties of distributed real-time and embedded systems in which software complexity, unpredictable environments, and heterogeneous platforms demand novel solutions that are grounded in sound theory.<br/> <br/>A major goal of his work is to assure that constraints on timing, memory footprint, fault-tolerance, and other system properties can be met when system software is re-used across heterogeneous applications, operating environments and deployment platforms.​<div><h3>​Biography</h3><p>Professor Gill has been with Washington University in St. Louis (WashU) since 1997, first as a research associate and since 2001 as a member of the faculty. He gained significant industry experience working for companies such as SBC Communications (now AT&T), Teknivent Corp., Saleskit Software and Prudential Group Health. As an undergraduate student at WashU, Professor Gill was a National Merit Scholar and graduated cum laude in English and Biology.</p><p>A National Science Foundation CAREER award recipient, Professor Gill emphasizes a laboratory-based teaching approach, with personal attention to how students combine fundamentals of computer science with state-of-the-art software engineering techniques, to gain expertise and hands-on experience in designing and implementing high quality software.</p></div><img alt="" src="/Profiles/ResearchImages/gill_research.jpg?RenditionID=13" style="BORDER:0px solid;" /><p>314-935-7538<br/><a href="mailto:cdgill@wustl.edu">cdgill@wustl.edu</a><br/>Jolley Hall, Room 518​</p><ul><li> <a href="/news/Pages/Lu,-Gill-to-expand-work-in-real-time-virtualization,-cloud-computing-software-.aspx">Computer scientists to expand work in real-time virtualization</a><br/></li><li><a href="/news/Pages/Real-time-virtualization-software-to-enable-embedded-systems-integration.aspx" style="background-color: #ffffff;">Real-time virtualization software to enable embedded systems integration</a><br/></li></ul>
https://engineering.wustl.edu/Profiles/Pages/Chien-Ju-Ho.aspx116Chien-Ju Ho<img alt="" src="/Profiles/PublishingImages/Ho_CJ.jpg?RenditionID=6" style="BORDER:0px solid;" />​Assistant ProfessorChien-Ju Ho - Computer Science & Engineering - Designs & analyzes human-in-the-loop systemsPhD, University of California, Los Angeles, 2015<br/>MS, National Taiwan University, 2007<br/>BS, National Taiwan University, 2005<br/><br/> <p>  <a href="https://scholar.google.com/citations?user=DWKoeW0AAAAJ&hl=en"><img src="/Profiles/PublishingImages/gscholar.png" alt="" style="margin: 0px 0px -5px;"/> Google Scholar</a><br/></p>http://chienjuho.com<p>​Assistant Professor<br/></p><h3>Research<br/></h3><div>Professor Ho's research centers on the design and analysis of human-in-the-loop systems, with a focus on eliciting and aggregating human-generated data. His research spans and draws from the fields of machine learning, algorithmic economics, optimization, and online behavioral social science. He is interested in developing realistic human behavior models and studying how the models influence the design of machine learning algorithms and incentive mechanisms.</div><h3>Biography<br/></h3><div>Professor Ho joined the Department of Computer Science & Engineering at Washington University in St. Louis in 2017. Previously, he was a postdoctoral associate at Cornell University. He obtained his PhD in Computer Science from the University of California, Los Angeles in 2015 and spent three years visiting the EconCS group at Harvard from 2012 to 2015. He is the recipient of the Google Outstanding Graduate Research Award at UCLA in 2015. His work was nominated for Best Paper Award at WWW 2015.<br/><br/></div><img alt="" src="/Profiles/ResearchImages/shield_red.jpg?RenditionID=13" style="BORDER:0px solid;" /><p>​314-935-8073<br/><a href="mailto:chienju.ho@wustl.edu">chienju.ho@wustl.edu</a><br/>Jolley Hall, Room 510<br/></p>
https://engineering.wustl.edu/Profiles/Pages/Raj-Jain.aspx35Raj Jain<img alt="Raj Jain" src="/Profiles/PublishingImages/Jain_Raj.jpg?RenditionID=6" style="BORDER:0px solid;" />ProfessorRaj Jain - Computer Science & Engineering - ​Google Scholar lists 27000+ citations to his publications​​PhD, Harvard University, 1978<br/>ME, Indian Institute of Science, 1974<br/>BS, A.P.S. University, 1972 <p></p><div> <p>  <a href="https://scholar.google.com/citations?user=runT3RsAAAAJ&hl=en&oi=ao"><img src="/Profiles/PublishingImages/gscholar.png" alt="" style="margin: 0px 0px -5px;"/> Google Scholar</a></p></div>http://www.cse.wustl.edu/~jain/<p>Barbara J. & Jerome R. Cox, Jr. Professor of Computer Science​</p><h3>Research</h3><p>Professor Jain’s research interests include Network Security, Blockchains, Medical Systems Security, Industrial Control Systems Security, Wireless Networks, Unmanned Aircraft Systems, Internet of Things, Telecommunications Networks, Traffic Management, Performance Analysis, and Modeling and Simulation.<br/></p><h3>Biography<br/></h3><p></p><div class="ExternalClassFCDC6C386749418B87BBFD146B1C3985"></div><div class="ExternalClassFCDC6C386749418B87BBFD146B1C3985"><p>Jain is a Life Fellow of IEEE, a Fellow of ACM, a Fellow of AAAS, a winner of 2017 ACM SIGCOMM Life-Time Achievement Award, 2015 A.A. Michelson Award, ACM SIGCOMM Test of Time award 2006, CDAC-ACCS Foundation Award 2009, IISc Distinguished Alumnus Award 2014, WiMAX Forum Individual Contribution Award 2008, and ranks among the Most Cited Authors in Computer Science. Previously, he was one of the Co-founders of Nayna Networks, Inc - a next generation telecommunications systems company in San Jose, CA. He was a Senior Consulting Engineer at Digital Equipment Corporation in Littleton, Mass and then a professor of Computer and Information Sciences at Ohio State University in Columbus, Ohio.</p><p>He is the author or editor of 12 books including "Art of Computer Systems Performance Analysis,'' which won the 1991 "Best-Advanced How-to Book, Systems'' award from Computer Press Association and "High-Performance TCP/IP: Concepts, Issues, and solutions," published by Prentice Hall in November 2003. He is a co-editor of "Quality of Service Architectures for Wireless Networks: Performance Metrics and Management," published in April 2010.</p><p>Jain has 14 patents, and has written 16 book chapters, 75+ journal and magazine papers and 120+ conference papers. Google Scholar lists over 27000+ citations to his publications. He is a co-inventor of the DECbit scheme, which has been implemented in various forms in DECnet, OSI, Frame Relay, and ATM Networks.<br/></p></div><img alt="" src="/Profiles/ResearchImages/shield_red.jpg?RenditionID=13" style="BORDER:0px solid;" /><p>​314-935-4963<br/><a href="mailto:jain@wustl.edu">jain@wustl.edu</a><br/>Jolley Hall, Room 208​</p><a href="https://www.youtube.com/watch?v=3X2Yf2EkWCQ">play video</a><ul><li><a href="/news/Pages/Academy-of-Science-St-Louis-honors-three-researchers.aspx">Academy of Science-St. Louis honors three researchers</a><br/></li><li> <a href="/news/Pages/Jain-presents-at-international-conferences.aspx" style="background-color: #ffffff;">Jain presents at international conferences ​​</a><br/></li><li><a href="/news/Pages/Jain-receives-Qatar-National-Research-Fund-grant.aspx" style="background-color: #ffffff;">Jain receives Qatar National Research Fund grant​</a><br/></li><li><a href="/news/Pages/Jain-to-lead-group-developing-secure,-cloud-based-network-for-collaborations.aspx">Jain to lead group developing secure, cloud network for collaborations</a> </li></ul>
https://engineering.wustl.edu/Profiles/Pages/Tao-Ju.aspx36Tao Ju<img alt="Tao Ju" src="/Profiles/PublishingImages/Ju_Tao_2017.jpg?RenditionID=6" style="BORDER:0px solid;" />Vice Dean for Research​ & ProfessorTao Ju - Computer Science & Engineering - ​National Science Foundation CAREER award recipient​​​​​PhD, Rice University, 2005<br/>BS, Tsinghua University, 2000<br/>BA, Tsinghua University, 1999 <div> <br/> </div><p>  <a href="https://scholar.google.com/citations?user=JsK4KpMAAAAJ&hl=en"><img src="/Profiles/PublishingImages/gscholar.png" alt="" style="margin: 0px 0px -5px;"/> Google Scholar</a></p>http://www.cs.wustl.edu/~taoju/<p>Vice Dean for Research​ & Professor</p><h3>​Biography​</h3><p>In 2005, Tao Ju joined the faculty at Washington University in St. Louis. <span style="line-height: 1.6;">He has </span><span style="line-height: 1.6;">served on the editorial boards of major journals in the area of computer graphics, including</span><span style="line-height: 1.6;"> <i>IEEE Transactions of Visualization and Computer Graphics</i>, <i>Computer Graphics Forum</i>, <i>Computer Aided Design</i>, and <i>Graphical Models</i>. He also has </span><span style="line-height: 1.6;">served on program committees of top conferences including ACM Siggraph, </span><span style="line-height: 1.6;"></span><span style="line-height: 1.6;"></span><span style="line-height: 1.6;"></span><span style="line-height: 1.6;"></span><span style="line-height: 1.6;"></span><span style="line-height: 1.6;"></span><span style="line-height: 1.6;"></span><span style="line-height: 1.6;"></span><span style="line-height: 1.6;"></span><span style="line-height: 1.6;"></span><span style="line-height: 1.6;"></span><span style="line-height: 1.6;"></span><span style="line-height: 1.6;"></span><span style="line-height: 1.6;"></span><span style="line-height: 1.6;">Sigg</span><span style="line-height: 1.6;">raph</span><span style="line-height: 1.6;"></span><span style="line-height: 1.6;"></span><span style="line-height: 1.6;"></span><span style="line-height: 1.6;"></span><span style="line-height: 1.6;"> Asia and Eurographics. </span><span style="line-height: 1.6;">Professor Ju's research is supported by NSF and NIH, and</span><span style="line-height: 1.6;"> he received a</span><span style="line-height: 1.6;"> NSF CAREER award in 2009.</span><span style="line-height: 1.6;">​​</span></p><img alt="" src="/Profiles/ResearchImages/Ju_research.jpg?RenditionID=13" style="BORDER:0px solid;" /><p>314-935-6648<br/><a href="mailto:taoju@wustl.edu">taoju@wustl.edu</a><br/>Jolley Hall, Room 406</p>
https://engineering.wustl.edu/Profiles/Pages/Brendan-Juba.aspx37Brendan Juba<img alt="Brendan Juba" src="/Profiles/PublishingImages/Juba_Brendan.jpg?RenditionID=6" style="BORDER:0px solid;" />Assistant ProfessorBrendan Juba - Computer Science & Engineering - Works on algorithms for integrated learning & reasoning in artificial intelligence​​PhD, Massachusetts Institute of Technology, 2010<br/>MS, Carnegie Mellon, 2005<br/>BS, Carnegie Mellon, 2005<div><br/> <p>  <a href="https://scholar.google.com/citations?user=5wppdUoAAAAJ&hl=en"><img src="/Profiles/PublishingImages/gscholar.png" alt="" style="margin: 0px 0px -5px;"/> Google Scholar</a></p></div>http://www.cse.wustl.edu/~bjuba/<p>​Assistant Professor</p><h3>Research</h3><p>Brendan Juba's work primarily concerns theoretical approaches to artificial intelligence, founded on the theory of algorithms and computational complexity. In particular, he has worked on algorithms for integrated learning and reasoning (e.g., in common sense reasoning) and on a theory of communication in the absence of standards (introductions available in three lengths, short, medi​​um, and long​​). His interests also lie in theoretical computer science more broadly construed.​</p><h3>Biogr​aphy</h3><p>P<span style="line-height: inherit;">rofessor Juba graduated from MIT in September 2010 and subsequently worked as a postdoc under the supervision of Leslie Valiant, PhD, at Harvard until joining Washington University in fall 2014. He had also remained affiliated with MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) as a postdoc with the National Science Foundation's Center for Science of Information through Summer 2012.</span></p><img alt="" src="/Profiles/ResearchImages/Juba_research.jpg?RenditionID=13" style="BORDER:0px solid;" /><p>​314-935-8552<br/><a href="mailto:bjuba@wustl.edu">bjuba@wustl.edu</a><br/>Jolley Hall, Room 508​</p><ul><li><a href="/news/Pages/Three-faculty-receive-Young-Investigator-Research-awards-from-Air-Force.aspx">Three faculty receive Young Investigator awards from Air Force</a><br/></li></ul>
https://engineering.wustl.edu/Profiles/Pages/Ulugbek-Kamilov.aspx120Ulugbek Kamilov<img alt="" src="/Profiles/PublishingImages/Kamilov,%20Ulugbek.JPG?RenditionID=6" style="BORDER:0px solid;" />Assistant ProfessorUlugbek Kamilov - Computer Science & Engineering - Studies ​advanced algorithms and mathematical tools for biomedical and industrial imagingPhD, École Polytechnique Fédérale de Lausanne<br/>MSc, École Polytechnique Fédérale de Lausanne<br/>BSc, École Polytechnique Fédérale de Lausanne<br/><br/> <p>  <a href="https://scholar.google.com/citations?user=3qYUSDwAAAAJ&hl=en"><img src="/Profiles/PublishingImages/gscholar.png" alt="Google Scholar" style="margin: 0px 0px -5px;"/> Google Scholar</a></p>https://sites.wustl.edu/cigwww/<p>​Assistant Professor<br/></p><h3>​Research</h3><p>Professor Kamilov’s main research areas are in computational imaging with an emphasis on the development of computational methods for biomedical and industrial imaging. He has a strong interest in image reconstruction, compressive imaging, convex and nonconvex optimization, machine learning, and statistical inference. <br/></p><h3>Biography<br/></h3><div></div><div><p>Professor Kamilov earned his BSc and MSc in Communication Systems, and PhD in Electrical Engineering from the École polytechnique fédérale de Lausanne (EPFL), Switzerland. His thesis work on “Learning Tomography (LT)” was selected as a finalist for EPFL Doctorate Awards 2016 and was featured in Nature “News and Views.”</p><p>Professor Kamilov joined Washington University in St. Louis from Mitsubishi Electric Research Laboratories in Cambridge, Mass., where was a research scientist in computational sensing.<br/></p><p>Professor Kamilov is a member of IEEE and OSA. He is also currently a member IEEE Special Interest Group on Computational Imaging.<br/></p></div><img alt="" src="/Profiles/ResearchImages/shield_red.jpg?RenditionID=13" style="BORDER:0px solid;" /><p>​314-935-2601<br/><a href="mailto:kamilov@wustl.edu">kamilov@wustl.edu</a><br/>Jolley Hall, Room 532<br/></p><a href="/news/Pages/WashU-engineer-wins-IEEE-Signal-Processing-Society-2017-Best-Paper-Award.aspx">WashU engineer wins IEEE Signal Processing Society Best Paper Award</a><br/>
https://engineering.wustl.edu/Profiles/Pages/Caitlin-Kelleher.aspx38Caitlin Kelleher<img alt="Caitlin Kelleher" src="/Profiles/PublishingImages/Kelleher_Caitlin.jpg?RenditionID=6" style="BORDER:0px solid;" />Associate ProfessorCaitlin Kelleher - Computer Science & Engineering - ​Developed "Storytelling Alice," a programming system for middle school girls​PhD, Carnegie Mellon University, 2006<br/>BS, Virginia Polytechnic and State University, 1998<div><br/> <p>  <a href="https://scholar.google.com/citations?user=DqCFHY8AAAAJ&hl=en&oi=ao"><img src="/Profiles/PublishingImages/gscholar.png" alt="" style="margin: 0px 0px -5px;"/> Google Scholar</a></p></div>http://www.cse.wustl.edu/~ckelleher/<p>​Hugo F. & Ina Champ Urbauer Career Development Associate Professor</p><h3>Expertise<br/></h3><p>User-centered design and evaluation<br/></p><h3>Research<br/></h3><p>Caitlin Kelleher is a researcher in Human-Computer Interaction and focuses on designing new kinds of programming environments and languages that democratize programming. Recently, her research group has focused on supporting children learning to program independently. This research has resulted in new kinds of support for tutorials, code execution history exploration tools, and robust support for reusing code from unfamiliar programs. Additionally, her group has explored how to support learning from code puzzles and the kinds of learning decisions young novices make in open ended contexts. The results of this research are shared through the Looking Glass programming environment, available at <a href="http://lookingglass.wustl.edu/">lookingglass.wustl.edu</a>.<br/></p><h3>​Biography</h3><p>Professor Kelleher joined the faculty at Washington University in St. Louis in 2007. She is the recipient of an NSF Career award and was named a 2013 Sloan Foundation Fellow. Her work has won several best paper awards at top conferences.</p><img alt="" src="/Profiles/ResearchImages/Kelleher_research.jpg?RenditionID=13" style="BORDER:0px solid;" /><p>​314-935-6119<br/><a href="mailto:ckelleher@wustl.edu">ckelleher@wustl.edu</a><br/>Jolley Hall, Room 411</p><a href="http://www.youtube.com/watch?v=c3iPrqVeh2E">play video</a>
https://engineering.wustl.edu/Profiles/Pages/Brian-Kocoloski.aspx115Brian Kocoloski<img alt="Brian Kocoloski " src="/Profiles/PublishingImages/Kocoloski_Brian%202018.jpg?RenditionID=6" style="BORDER:0px solid;" />Assistant ProfessorBrian Kocoloski - Computer Science & Engineering - ​Studies operating system organization for large scale parallel computers<p style="text-align: center;"> <span style="font-size: 0.9em;">PhD, University of Pittsburgh, 2017<br/></span><span style="font-size: 0.9em;">BS</span><span style="font-size: 0.9em;">, University of Dayton</span><span style="font-size: 0.9em;">, 2011</span></p><p style="text-align: center;"> <a href="https://scholar.google.com/citations?user=Qu_xQjYAAAAJ&hl=en"><img src="/Profiles/PublishingImages/gscholar.png" alt="" style="margin: 5px;"/>Google Scholar</a><br/></p>http://www.cse.wustl.edu/~brian.kocoloski/<p>​Assistant Professor<br/></p><h3>Research<br/></h3><div><p>Professor Kocoloski’s research seeks to make it easier to efficiently use large parallel computers. His work has focused on system software for high performance computing (HPC) systems, where he has designed lightweight operating systems and virtualization mechanisms to support parallel applications. He is interested in addressing scalability challenges in parallel systems.<br/></p></div><h3>Biography<br/></h3><div>Professor Kocoloski joined WashU from the University of Pittsburgh, where he was a graduate student researcher. Previously, he was a co-op engineer for Advanced Micro Devices (AMD) and a research intern at Sandia National Laboratories. He also was application developer at JPMorgan Chase & Co. and a quality assurance analyst at NCR Corp. <br/></div><img alt="" src="/Profiles/ResearchImages/shield_red.jpg?RenditionID=13" style="BORDER:0px solid;" /><div style="text-align: center;"> <span style="color: #444444;">314-935-4465</span></div><div style="text-align: center;"> <a href="mailto:brian.kocoloski@wustl.edu" style="background-color: #ffffff;">brian.kocoloski@wustl.edu</a></div><div style="text-align: center;"> <span style="color: #444444;">Jolley Hall, Room 212</span><br/></div>
https://engineering.wustl.edu/Profiles/Pages/I-Ting-Angelina-Lee.aspx39I-Ting Angelina Lee<img alt="I-Ting Angelina Lee" src="/Profiles/PublishingImages/Lee_Angelina.jpg?RenditionID=6" style="BORDER:0px solid;" />Assistant ProfessorI-Ting Angelina Lee - Computer Science & Engineering - Works to advance software technologies for parallel computing​PhD, Massachusetts Institute of Technology, 2012<br/>SM, Massachusetts Institute of Technology, 2012<br/>BS, University of California, San Diego, 2003<div><br/> <p>  <a href="https://scholar.google.com/citations?user=WRlzk3UAAAAJ&hl=en"><img src="/Profiles/PublishingImages/gscholar.png" alt="" style="margin: 0px 0px -5px;"/> Google Scholar</a></p></div>http://www.cse.wustl.edu/~angelee/<p>​Assistant Professor</p><h3>Research</h3><p>I-Ting Angelina Lee's research focuses on advancing software technologies for parallel computing. She is interested in many aspects of parallel computing, including designing programming models and linguistic constructs to simplify parallel programming, developing runtime and operating system support to execute multithreaded programs efficiently, and building software tools to aid debugging and performance engineering of multithreaded code.​<br/></p><h3>​Biography</h3><p>Professor Lee's joined the Department of Computer Science & Engineering at Washington University in St. Louis in fall 2014. Prior to that, Professor Lee worked with the Supertech research group at Massachusetts Institute of Technology, led by Professor Charles Leiserson for her graduate study and subsequently as a postdoctoral associate. She received the Best Paper Award at the 2012 Symposium on Parallelism in Algorithms and Architectures (SPAA).</p><img alt="" src="/Profiles/ResearchImages/shield_red.jpg?RenditionID=13" style="BORDER:0px solid;" /><p>314-935-4621<br/><a href="mailto:angelee@wustl.edu">angelee@wustl.edu</a><br/>Jolley Hall, Room 516​</p><ul><li><a href="/news/Pages/Computer-programming-may-get-easier-with-new-WashU-research.aspx">Computer programming may get easier with new WashU research</a><br/></li></ul>
https://engineering.wustl.edu/Profiles/Pages/Chenyang-Lu.aspx40Chenyang Lu<img alt="Chenyang Lu" src="/Profiles/PublishingImages/Lu_Chenyang.jpg?RenditionID=6" style="BORDER:0px solid;" />ProfessorChenyang Lu - Computer Science & Engineering - ​National Science Foundation CAREER award recipient​PhD, University of Virginia, 2001<br/>MS, Chinese Academy of Sciences, 1997<br/>BS, University of Science and Technology of China, 1995 <p>  <a href="https://scholar.google.com/citations?user=tCq7Wx0AAAAJ&hl=en"><img src="/Profiles/PublishingImages/gscholar.png" alt="" style="margin: 0px 0px -5px;"/> Google Scholar</a></p>http://www.cse.wustl.edu/~lu/<p>​<span style="line-height: 21.8182px;">Fullgraf Professor</span>​</p><h3>Research</h3><p>Chenyang Lu's research interests include real-time embedded systems, wireless sensor networks, Internet of Things and cyber-physical systems.​<br/></p><h3>Biography</h3><p rtenodeid="6">Professor Lu is the Fullgraf Professor in the Department of Computer Science & Engineering at Washington University in St. Louis. He is Editor-in-Chief of <a href="http://tosn.acm.org/" rtenodeid="7">ACM Transactions on Sensor Networks</a>, Area Editor of <a href="http://iot-journal.weebly.com/" rtenodeid="10">IEEE Internet of Things Journal</a> and Associate Editor of the new <a href="http://tcps.acm.org/" rtenodeid="12">ACM Transactions on Cyber-Physical Systems</a> and <a href="http://www.springer.com/computer/communication+networks/journal/11241" rtenodeid="14">Real-Time Systems</a>. He also chaired premier conferences such as IEEE Real-Time Systems Symposium (RTSS), ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS) and ACM Conference on Embedded Networked Sensor Systems (SenSys). He is the author and co-author of over 150 research papers <a href="http://scholar.google.com/citations?user=tCq7Wx0AAAAJ" rtenodeid="16">with over 13,000 citations and an h-index of 52</a>. </p><img alt="" src="/Profiles/ResearchImages/Lu_research.jpg?RenditionID=13" style="BORDER:0px solid;" /><p>​314-935-4855<br/><a href="mailto:lu@wustl.edu">lu@wustl.edu</a><br/>Jolley Hall, Room 213​</p><p> <span style="line-height: 1.6; font-size: 16px; display: none;"></span> <a href="http://spectrum.ieee.org/podcast/at-work/test-and-measurement/smart-bridges"> <span style="line-height: 1.6; font-size: 16px;">PODCAST>>  Smart Bridges: Adding sensor networks to infrastructure will make them cyberphysical systems​</span><br/>​</a></p> <ul><li> <a href="/news/Pages/WUSTL-researchers-developing-hospital-patient-early-warning-system.aspx" style="background-color: #ffffff;">​​</a><a href="/news/Pages/Real-time-virtualization-software-to-enable-embedded-systems-integration.aspx" style="background-color: #ffffff;">Real-time virtualization software to enable embedded systems integration</a><br/></li><li> <a href="/news/Pages/Lu,-Gill-to-expand-work-in-real-time-virtualization,-cloud-computing-software-.aspx" style="background-color: #ffffff;">Computer scientists to expand work in real-time virtualization </a>​</li><li> <a href="/news/Pages/Engineers-team-to-improve-wireless-network-technology.aspx">Engineers team to improve wireless network technology</a></li><li><div style="background-color: #ffffff; display: inline;"> <a href="/news/Pages/Building-smarter-safer-infrastructure.aspx" style="background-color: #ffffff;">Building smarter, safer infrastructure</a><br/></div></li><li><a href="/news/Pages/WUSTL-researchers-developing-hospital-patient-early-warning-system.aspx">WashU researchers developing hospital patient early warning system</a> </li></ul>
https://engineering.wustl.edu/Profiles/Pages/Marion-Neumann.aspx132Marion Neumann<img alt="" src="/Profiles/PublishingImages/Marion%20Neumann.JPG?RenditionID=6" style="BORDER:0px solid;" />Senior ​LecturerMarion Neumann - Computer Science & Engineering - <p>​<span style="font-size: 14.4px; text-align: center;">PhD, University of Bonn, Germany, 2015</span><br style="font-size: 14.4px; text-align: center;"/><span style="font-size: 14.4px; text-align: center;">MS, BS, University of Ulm, Germany, 2009</span><br/></p>http://sites.wustl.edu/neumann/<p>Senior ​Lecturer<br/></p><h3>Expertise</h3><p>Machine learning for graphs</p><h3>Biography</h3><p>Marion Neumann joined the faculty at Washington University in St. Louis in July 2015 as a lecturer for machine learning and cloud computing. Before that, she was a PhD student in the Knowledge Discovery and Machine Learning research group at the University of Bonn (2010–2015). During her doctorate studies, she collaborated in research and teaching projects with the Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS and the Bonn-Aachen International Center for Information Technology (b-it). <br/></p><p>She serves as the advisor for <a href="http://wics.wustl.edu/">WiCS (Women in Computer Science).</a><br/></p><p>​<span style="color: #444444; text-align: center;">(314) 935-2861</span><br style="color: #444444; text-align: center;"/><a href="mailto:m.neumann@wustl.edu" style="background-color: #ffffff; text-align: center;">m.neumann@wustl.edu<br/></a><span style="color: #444444; text-align: center;">Jolley Hall, Room 222</span><br/></p>
https://engineering.wustl.edu/Profiles/Pages/Alvitta-Ottley.aspx109Alvitta Ottley<img alt="" src="/Profiles/PublishingImages/Ottley_Alvitta_2016.jpg?RenditionID=6" style="BORDER:0px solid;" />​Assistant ProfessorAlvitta Ottley - Computer Science & Engineering - Focuses on designing personalized & adaptive visualization systems<span style="line-height: inherit; font-size: 0.9em;">​​​PhD, Tufts University, 2016</span> <div> <span style="line-height: inherit; font-size: 0.9em;"></span> <span style="line-height: inherit; font-size: 0.9em;">MS, Tufts University, 2013​</span></div><div> <br/> </div><p>  <a href="https://scholar.google.com/citations?user=yepPD_cAAAAJ&hl=en"><img src="/Profiles/PublishingImages/gscholar.png" alt="" style="margin: 0px 0px -5px;"/> Google Scholar</a></p>http://www.cse.wustl.edu/~alvitta/<p>​Assistant Professor</p><h3>Research<br/></h3><p>Alvitta Ottley's current research interests include information visualization, human-computer interaction and visual analytics. Previously funded by NSF and U.S. Army, her research pursues areas such as learning and modeling user behavior, individual differences, and personalized health risk communication.​ Her work has been published in leading conferences and journals such as CHI, InfoVis, VAST and TVCG.​</p><h3>Biography<br/><span style="line-height: inherit; color: #222222; font-family: "open sans", "helvetica neue", helvetica, arial, sans-serif; font-size: 16px;">​</span><span style="line-height: inherit; color: #222222; font-family: "open sans", "helvetica neue", helvetica, arial, sans-serif; font-size: 16px;">Professor Ottley </span><span style="line-height: inherit; color: #222222; font-family: "open sans", "helvetica neue", helvetica, arial, sans-serif; font-size: 16px;">joined the </span><span style="line-height: inherit; color: #222222; font-family: "open sans", "helvetica neue", helvetica, arial, sans-serif; font-size: 16px;">Department of Computer Science & Engineering at Washington University in St. Louis in 2016.</span><span style="line-height: inherit; color: #222222; font-family: "open sans", "helvetica neue", helvetica, arial, sans-serif; font-size: 16px;"> </span></h3><p></p><img alt="" src="/Profiles/ResearchImages/shield_red.jpg?RenditionID=13" style="BORDER:0px solid;" /><p>​314-935-2738<br/><a href="mailto:alvitta@wustl.edu">alvitta@wustl.edu<br/></a>Jolley Hall, Room 410</p>• <a href="/news/Pages/Making-sense-pictures-of-medical-data-Alvitta-Ottley.aspx">Making sense, pictures of medical data</a><br/>
https://engineering.wustl.edu/Profiles/Pages/William-Richard.aspx43William Richard<img alt="William Richard" src="/Profiles/PublishingImages/Richard_William.jpg?RenditionID=6" style="BORDER:0px solid;" />Associate ProfessorWilliam Richard - Computer Science & Engineering - ​Aims to provide low-cost & low-power ultrasonic imaging devices​​PhD, Missouri University of Science & Technology, 1988<br/>MS, Missouri University of Science & Technology, 1985<br/>BS, Missouri University of Science & Technology, 1983 <p>  <a href="https://scholar.google.com/citations?user=HQeEzR0AAAAJ&hl=en"><img src="/Profiles/PublishingImages/gscholar.png" alt="" style="margin: 0px 0px -5px;"/> Google Scholar</a></p>http://www.cse.wustl.edu/~wdr/<p>​Associate Professor</p><h3>Expertise<br/></h3><p></p><p>Low-cost medical ultrasound<br/></p><h3>Research</h3><p></p><p>William Richard's research focuses on the development of architectures and image processing algorithms for low-cost, low-power, portable ultrasound systems that can be used to provide ultrasonic imaging capability in underserved and remote areas.<br/></p><h3>​Biography</h3><p>Since joining Washington University in St. Louis in 1988, Professor Richard has continued the development of architectures and image processing algorithms for ultrasonic imaging. His 1989 paper on real-time gain correction and his 1994 paper on real-time scan conversion (with Professor Martin Arthur) were key to the development of many low-cost commercial ultrasonic imaging systems. Professor Richard developed a low-cost, PCI-bus based system based on these techniques in 1995 for prostate localiztion during radiation treatment at the M.D. Anderson Cancer Center and a second system in 1996 to localize brain tumors during neurosurgery at the Cleveland Clinic as part of the CAMIS (Computer-Assisted Minimally-Invasive Surgery) project.</p><p>The Universal Serial Bus (USB) ultrasound probes developed by Professor Richard, which require only a laptop or tablet to form a complete ultrasonic imaging system, were named by Popular Science Magazine as one of the Best 100 Innovations of 2006. The same year, the International Academy of Science named the USB probes one of the top 10 finalists for their "Technology of the Year Award." With funding from Microsoft Research, Professor Richard combined his USB probes with a Windows Mobile (TM) smartphone to develop the first smartphone-based ultrasound imaging system. The commercial version of this system was the first smartphone-based diagnostic device cleared by the FDA, and it was named by Popular Science as one of the Best 100 Innovations of 2012.</p><p>Professor Richard was awarded a patent on a novel technique for real-time synthetic focus ultrasonic imaging in 2004. He served on the editorial board for Computerized Medical Imaging and Graphics for over twenty years. He is a member of the American Society for Engineering Education and a senior member of the Institute of Electrical and Electronics Engineers.<br/></p><img alt="" src="/Profiles/ResearchImages/Richard_ZAR.jpg?RenditionID=13" style="BORDER:0px solid;" /><p>314-935-4676<br/><a href="mailto:wdr@wustl.edu">wdr@wustl.edu</a><br/>Jolley Hall, Room 538</p>
https://engineering.wustl.edu/Profiles/Pages/Jon-Shidal.aspx133Jonathan Shidal<img alt="" src="/Profiles/PublishingImages/Jon%20Shidal_0307.JPG?RenditionID=6" width="293" style="BORDER:0px solid;" />LecturerJonathan Shidal - Computer Science & Engineering - <p>​<span style="font-size: 14.4px; text-align: center;">PhD, Washington University in St. Louis, 2016</span><br style="font-size: 14.4px; text-align: center;"/><span style="font-size: 14.4px; text-align: center;">BA, DePauw University, 2011</span><br/></p>https://sites.wustl.edu/shidalj/<p>​Lecturer<br/></p><p>​<span style="color: #444444; text-align: center;">(314) 935-6132</span><br style="color: #444444; text-align: center;"/><a href="mailto:shidalj@wustl.edu" style="background-color: #ffffff; text-align: center;">shidalj@wustl.edu <br/></a><span style="color: #444444; text-align: center;">Jolley Hall, Room 214</span><br/></p>
https://engineering.wustl.edu/Profiles/Pages/Doug-Shook.aspx134Doug Shook<img alt="" src="/Profiles/PublishingImages/Doug%20Shook.jpg?RenditionID=6" width="293" style="BORDER:0px solid;" />LecturerDoug Shook - Computer Science & Engineering - <p>​MS, Washington University in St. Louis, 2013<br/>BS, Ball State University, 2010<br/></p><p>​Lecturer<br/></p><p>​Doug Shook has been a Lecturer at Washington University in St. Louis since 2013.<br/></p><p>​<span style="color: #444444; text-align: center;">(314) 935-6160</span><br style="color: #444444; text-align: center;"/><a href="mailto:dshook@wustl.edu" style="background-color: #ffffff; text-align: center;">dshook@wustl.edu<br/></a><span style="color: #444444; text-align: center;">Jolley Hall, Room 534</span><br/></p>
https://engineering.wustl.edu/Profiles/Pages/Bill-Siever.aspx135Bill Siever<img alt="" src="/Profiles/PublishingImages/Bill%20Siever_1394.JPG?RenditionID=6" style="BORDER:0px solid;" />​Principal LecturerBill Siever - Computer Science & Engineering - <p>​PhD, Missouri University of Science and Technology<br/>MS, Missouri University of Science and Technology<br/>BS, Missouri University of Science and Technology<br/></p><p>​Principal Lecturer<br/></p><p>​<span style="color: #444444; text-align: center;">(573) 364-8890</span><br style="color: #444444; text-align: center;"/><a href="mailto:bsiever@wustl.edu" style="background-color: #ffffff; text-align: center;">bsiever@wustl.edu <br/></a><span style="color: #444444; text-align: center;">Jolley Hall, Room 221</span><br/></p>
https://engineering.wustl.edu/Profiles/Pages/Todd-Sproull.aspx136Todd Sproull<img alt="" src="/Profiles/PublishingImages/Todd_Sproull_1010.JPG?RenditionID=6" style="BORDER:0px solid;" />​Senior LecturerTodd Sproull - Computer Science & Engineering - <p>​PhD, Washington University in St. Louis, 2009<br/>MS, Washington University in St. Louis, 2002<br/>BS, Southern Illinois University in Edwardsville, 2000<br/></p>http://research.engineering.wustl.edu/~todd/<p>​Senior Lecturer<br/></p><p>​Todd Sproull joined the faculty in 2009, serves as the director of Internet Technologies and Applications (ITA), received the Department Chair Award for Outstanding Teaching in 2015.<br/></p><p><span style="color: #444444; text-align: center;">(314) 935-7140</span><br style="color: #444444; text-align: center;"/><a href="mailto:todd@wustl.edu" style="background-color: #ffffff; text-align: center;">todd@wustl.edu<br/></a><span style="color: #444444; text-align: center;">Jolley Hall, Room 536</span>​</p>
https://engineering.wustl.edu/Profiles/Pages/Yevgeniy-Vorobeychik.aspx185Yevgeniy Vorobeychik<img alt="" src="/Profiles/PublishingImages/Yevgeniy-Vorobeychik-temp.jpg?RenditionID=6" style="BORDER:0px solid;" />​Associate ProfessorYevgeniy Vorobeychik - Computer Science & Engineering - Uses game theory modeling to improve cybersecurity and online privacy<p>​PhD, University of Michigan, 2008<br/>MSE, University of Michigan, 2004<br/>BS, Northwestern University, 2002<br/></p><p> <a href="https://scholar.google.com/citations?user=ptI-HHkAAAAJ&hl=en&oi=ao"> <img src="/Profiles/PublishingImages/gscholar.png" alt="" style="margin: 0px 0px -5px;"/> Google Scholar</a></p>http://vorobeychik.com<p>​Associate Professor<br/></p><h3>Research<br/></h3><p>Yevgeniy Vorobeychik's work focuses on game theoretic modeling of security and privacy, adversarial machine learning, algorithmic and behavioral game theory and incentive design, optimization, agent-based modeling, complex systems, network science and epidemic control. <br/></p><h3>Biography<br/></h3><p>Yevgeniy Vorobeychik joined Washington University in St. Louis in 2018. He was an assistant professor of computer science and biomedical informatics at Vanderbilt University from 2013 until 2018, and a principal research scientist at Sandia National Laboratories from 2010 until 2013. Between 2008 and 2010 he was a post-doctoral research associate at the University of Pennsylvania Computer and Information Science department. He received a PhD and MSE in Computer Science and Engineering from the University of Michigan and a BS degree in Computer Engineering from Northwestern University. <br/></p><p>Professor Vorobeychik received an NSF CAREER award in 2017 and was invited to give an IJCAI-16 early career spotlight talk. He was nominated for the 2008 ACM Doctoral Dissertation Award and received honorable mention for the 2008 IFAAMAS Distinguished Dissertation Award.<br/></p><img alt="" src="/Profiles/ResearchImages/shield_red.jpg?RenditionID=13" style="BORDER:0px solid;" /><p><a href="mailto:%E2%80%8Byvorobeychik@wustl.edu">​yvorobeychik@wustl.edu</a><br/><span style="text-align: center;">Jolley Hall, Room 211</span></p>
https://engineering.wustl.edu/Profiles/Pages/William-Yeoh.aspx118William Yeoh<img alt="" src="/Profiles/PublishingImages/Yeoh_William.jpg?RenditionID=6" style="BORDER:0px solid;" />Assistant ProfessorWilliam Yeoh - Computer Science & Engineering - ​Develops algorithms for smart grid & smart home applications​PhD, University of Southern California, 2010 <div>MS, University of Southern California, 2007</div><div>BSE, University of Pennsylvania, 2004<br/></div><p>  <a href="https://scholar.google.com/citations?user=HdLFmroAAAAJ&hl=en"><img src="/Profiles/PublishingImages/gscholar.png" alt="" style="margin: 0px 0px -5px;"/> Google Scholar</a><br/></p>https://sites.wustl.edu/wyeoh/<p>​Assistant Professor<br/></p><h3>​Research</h3><p>Professor Yeoh’s research focuses on artificial intelligence with an emphasis on developing optimization algorithms for agent-based systems. His primary expertise is in distributed constraint optimization, where his goal is to develop and deploy such algorithms in multi-agent systems including smart grid and smart home applications as well as cloud and edge computing applications. His research has been funded by the National Science Foundation (NSF) as well as the Defense Advanced Research Projects Agency (DARPA). </p><h3>Biography<br/></h3><p>Professor Yeoh joined Washington University in St. Louis in 2017 from New Mexico State University, where he was an assistant professor of computer science since 2012. He received a CAREER Award from the National Science Foundation in 2016 and was named one of AI’s 10 to Watch by IEEE Intelligent Systems. Previously, he was a research scientist at Singapore Management University and a postdoctoral research associate at the University of Massachusetts, Amherst.</p><p>He has served on the program committees and senior program committees of numerous AI-related conferences including AAAI, AAMAS, CP, ICAPS, and IJCAI. He has also served as student outreach co-chair of AAAI, tutorial co-chair of AAAI and PRIMA, scholarship co-chair of AAMAS, and sponsorship co-chair of ICAPS.  <br/><br/></p><img alt="" src="/Profiles/RESEARCHIMAGES/SHIELD_RED.JPG?RenditionID=13" style="BORDER:0px solid;" /><p>​314-935-3098<br/><a href="mailto:wyeoh@wustl.edu">wyeoh@wustl.edu</a><br/>Jolley Hall, Room 407​<br/></p>
https://engineering.wustl.edu/Profiles/Pages/Miaomiao-Zhang.aspx183Miaomiao Zhang<img alt="Miaomiao Zhang" src="/Profiles/PublishingImages/Miaomiao%20Zhang%20temp.JPG?RenditionID=6" style="BORDER:0px solid;" />Assistant ProfessorMiaomiao Zhang - Computer Science & Engineering - Analyzes anatomical shape changes to better understand diseases<p>​PhD, University of Utah, 2015<br/>MS, East China Normal University, 2010<br/>BS, Henan Normal University, 2008<br/></p><p> <a href="https://scholar.google.com/citations?user=EGBMBTwAAAAJ&hl=en"> <img src="/Profiles/PublishingImages/gscholar.png" alt="" style="margin: 0px 0px -5px;"/> Google Scholar</a> </p><p>​Assistant Professor<br/></p><h3>​Research</h3><p>Miaomiao Zhang’s current research focuses on developing novel models at the intersection of statistics, mathematics, and computer engineering in the field of medical and biological imaging. More specifically, her current research projects include image registration/segmentation, statistical shape analysis to quantify anatomical changes, and machine learning with applications to neuroimaging and computer-assisted surgery.<br/></p><h3>Bio</h3><p>Professor Zhang completed her PhD in computer science at the University of Utah. She was a postdoctoral associate in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology. Professor Zhang received the Medical Image Computing and Computer Assisted Intervention (MICCAI) young scientist award in 2014 and was a runner-up for the young scientist award in 2016. She is a member of MICCAI society and an area chair for MICCAI 2018. She is also a program committee member in ShapeMI MICCAI 2018.<br/></p><img alt="" src="/Profiles/ResearchImages/M_Zhang_BrainVariability.jpg?RenditionID=13" style="BORDER:0px solid;" /><p>​<a href="mailto:zhang.m@wustl.edu">zhang.m@wustl.edu</a><br/></p>
https://engineering.wustl.edu/Profiles/Pages/Ning-Zhang.aspx182Ning Zhang<img alt="" src="/Profiles/PublishingImages/Ning%20Zhang%20temp.jpg?RenditionID=6" style="BORDER:0px solid;" />Assistant ProfessorNing Zhang - Computer Science & Engineering - ​Building provable security protection in mission-critical systems<p>​PhD, Virginia Polytechnic Institute and State University, 2016<br/>MS, Worcester Polytechnic Institute, 2011<br/>BS, MS, University of Massachusetts Amherst, 2007<br/></p><p> <a href="https://scholar.google.com/citations?user=gwB_pJcAAAAJ&hl=en"> <img src="/Profiles/PublishingImages/gscholar.png" alt="" style="margin: 0px 0px -5px;"/> Google Scholar</a></p>https://n1ngz.github.io/<p>​Assistant Professor<br/></p><p>​<span style="color: #666666; font-family: "libre baskerville", "times new roman", serif; font-size: 1.25em;">Research</span></p><p>Professor Zhang's research focus is system security, which lies at the intersection of security, computer architecture and programming language. He is particularly interested in secure software/hardware systems, side-channel analysis, malware and digital forensics. He is also interested in developing new methods to automatically discover and mitigate system vulnerabilities.</p><h3>Biography<br/></h3><p>Professor Zhang joined the Department of Computer Science & Engineering at Washington University in Fall 2018. Prior to that, he was a principal cyber engineer/researcher and technical lead at Cyber Security Innovations of Raytheon. Throughout his eleven-year career at Raytheon, he has worked to protect various critical networked and cyber-physical infrastructures. <br/></p><img alt="" src="/Profiles/ResearchImages/N-Zhang%20research.jpg?RenditionID=13" style="BORDER:0px solid;" />
https://engineering.wustl.edu/Profiles/Pages/Weixiong-Zhang.aspx45Weixiong Zhang<img alt="Weixiong Zhang" src="/Profiles/PublishingImages/Zang_Weixiong.jpg?RenditionID=6" style="BORDER:0px solid;" />ProfessorWeixiong Zhang - Computer Science & Engineering - ​Applies computational methods to understand Alzheimer’s disease & psoriasis​​​PhD, University of California–Los Angeles, 1994<br/>BS, Tsinghua University, 1984 <div> <br/> </div><p>  <a href="https://scholar.google.com/citations?user=vuKTnnsAAAAJ&hl=en&oi=ao"><img src="/Profiles/PublishingImages/gscholar.png" alt="" style="margin: 0px 0px -5px;"/> Google Scholar</a></p>http://www.cse.wustl.edu/~zhang/<p>​​Professor<br/></p><h3>Research​</h3><p>In biology and medical science areas, Weixiong Zhang is interested in developing computational methods for complex problems appeared in molecular biology, genetics, systems biology and genomics. He is particularly interested in applying computational methods to the understanding of complex human diseases, including Alzheimer’s disease and psoriasis, and environmental stress response in agri-economically important plants, such as rice and cassava. In recent years, he has been focusing on three lines of biological research: gene regulation through small noncoding RNAs, transcriptome analysis and genotype-phenotype association.</p> <br/>In Artificial Intelligence, his main focuses are heuristic search, combinatorial optimization and planning. He has made several important contributions to these areas, documented in many papers in top journals (e.g. 11 in Artificial Intelligence) and conferences. Among these important results are two worthwhile to mention. First, he showed that linear-space heuristic search algorithms, including depth-first search and iterative deepening, are asymptotically optimal, so that they are the algorithms of choice for large problems. Moreover, this result also resolved an anomaly of look-ahead search, which has been widely adopted as a model of real-time problem solving. Second, he analyzed phase transitions in combinatorial optimization problems, e.g., the Traveling Salesman Problem and the maximum Satisifiability, showing their easy-difficulty phase transitions, which are in sharp contrast to the easy-hard-easy phase transitions in decision problems. Furthermore, he also developed effective approximation algorithms that exploit phase transitions. In recent years, Professor Zhang has been focusing on Satisifiability-based planning. His joint work with Ruoyun Huang and Yixin Chen on planning won the Outstanding Paper Award of the 2010 National Conference on AI.​<h3>Biography<br/></h3><p>After spending several years at Information Sciences Institute, University of Southern California, Professor Zhang joined the faculty at Washington University in St. Louis in 2000. He currently has a joint appointment in the Genetics Department, School of Medicine.</p><div class="ExternalClassD80094F63D6B43498DD16405547C1A1B">Professor Zhang is currently Deputy Editor of <em>PLoS Computational Biology</em>, a leading journal in the field of computational biology, Associate Editor of <em>Artificial Intelligence</em>, the premier journal of the field of artificial intelligence, and Associate Editor of <em>AI Communication: The European Journal on Artificial Intelligence</em>.</div><div class="ExternalClassD80094F63D6B43498DD16405547C1A1B"><br/></div><div class="ExternalClassD80094F63D6B43498DD16405547C1A1B">Professor Zhang’s research is multi-disciplinary and spans across two fields, Computational Biology and Artificial Intelligence.<br/></div><img alt="" src="/Profiles/ResearchImages/shield_red.jpg?RenditionID=13" style="BORDER:0px solid;" /><p>​314-935-8788<br/><a href="mailto:weixiong.zhang@wustl.edu">weixiong.zhang@wustl.edu</a><br/>Jolley Hall, Room 530​</p><ul><li>​<a href="/news/Pages/Big-data-allows-computer-engineers-to-find-genetic-clues-in-humans.aspx" style="background-color: #ffffff;">Big data allows computer engineers to find genetic clues in humans</a><br/></li></ul>