https://engineering.wustl.edu/news/Pages/Jain-speaks-at-IEEE-conferences-.aspx886Jain speaks at IEEE conferences <img alt="" src="/Profiles/PublishingImages/Jain_Raj.jpg?RenditionID=2" style="BORDER:0px solid;" /><p>​<span style="color: #555555; font-size: 20px;">Raj Jain, the Barbara J. & Jerome R. Cox, Jr. Professor of Computer <g class="gr_ gr_7 gr-alert gr_gramm gr_inline_cards gr_run_anim Punctuation only-del replaceWithoutSep" id="7" data-gr-id="7">Science,</g> </span><span style="color: #555555; font-size: 20px;">will be a keynote speaker at two upcoming conferences: the IEEE International Conference on High-Performance Switching and Routing, held June 17-20 in Bucharest, Romania, and the IEEE Conference on Network Softwarization, held June 25-29 in Montreal. </span><br/></p>Raj Jain 2018-06-14T05:00:00ZRaj Jain will be giving keynote talks at two upcoming IEEE conferences.
https://engineering.wustl.edu/news/Pages/Ju-awarded-$264,147-from-National-Science-Foundation-.aspx883Ju awarded $264,147 from National Science Foundation <img alt="Tao Ju" src="/Profiles/PublishingImages/Ju_Tao_2017.jpg?RenditionID=1" style="BORDER:0px solid;" /><p>​Tao Ju, vice dean for research and professor of computer science & engineering, has received a three-year, $264,147 grant from the National Science Foundation to develop efficient computational methods for automated analysis of the architecture of the roots of plants from 3-D images. Ju will collaborate with Christopher Topp from the Donald Danforth Plant Science Center and David M. Letscher from Saint Louis University. The team plans to design algorithms as well as a graphical software that would offer a fast and interactive way to inspect and edit the results produced by the algorithms. <br/></p>Tao Ju2018-06-11T05:00:00ZTao Ju will collaborate with two St. Louis-area researchers on a new way to study plant roots
https://engineering.wustl.edu/news/Pages/In-the-media-Machine-Learning-for-Credit-Risk.aspx881In the media: Machine Learning for Credit Risk – What’s Changing, and What Does it Mean?<img alt="AI in Industry" src="/news/PublishingImages/AI%20in%20industry.png?RenditionID=13" style="BORDER:0px solid;" /><p>​Episode summary: In this episode of <em>AI in Industry</em>, we speak with Sanmay Das from the Washington University in St. Louis about risk prediction and management in industries like banking, insurance and finance.<br/></p><div>Sanmay explores how banks and other financial institutions are improving risk and fraud prevention measures with machine learning. In addition, he explores the ramifications of improved fraud detection in the coming 5 years ahead.<br/><br/></div><p>​</p><span><div class="cstm-section"><h3>Machine Learning Expert<br/></h3><div style="text-align: center;"><strong><img src="/Profiles/PublishingImages/Das_Sanmay.jpg?RenditionID=3" alt="" style="margin: 5px;"/><br/></strong></div><div style="text-align: center;"> <a href="/Profiles/Pages/Sanmay-Das.aspx" rtenodeid="3"><strong>Sanmay Das</strong></a></div><div style="text-align: center;">Associate Professor<br/></div></div></span><p><br/></p>Raghav Bharadwajhttps://www.techemergence.com/machine-learning-for-credit-risk/2018-06-05T05:00:00Z​Associate Professor Sanmay Das discusses risk prediction and management in the financial industries on the latest episode of TechEmergence's AI in Industry podcast.<p>​Associate Professor Sanmay Das discusses risk prediction and management in the financial industries on the latest episode of <a href="https://www.techemergence.com/machine-learning-for-credit-risk/">TechEmergence's AI in Industry podcast</a>.<br/></p><br/> <div class="ms-rtestate-read ms-rte-wpbox" contenteditable="false"><div class="ms-rtestate-notify ms-rtestate-read e983294f-a567-4768-872c-8b88b187e221" id="div_e983294f-a567-4768-872c-8b88b187e221"></div><div id="vid_e983294f-a567-4768-872c-8b88b187e221" style="display: none;"></div></div>
https://engineering.wustl.edu/news/Pages/Teslas-Autopilot-keeps-crashing-into-parked-cars.aspx878In the media: Tesla's Autopilot keeps crashing into parked cars. Here's why.<p>Computer Science & Engineering professor Sanjoy Baruah provides expert insight on the recent crashes involved with Tesla's Autopilot. <a href="https://mashable.com/2018/05/30/tesla-autopilot-stationary-crashes/#ssFn4vU0.aqO">​>> Read the full article on mashable.com</a><br/></p><img alt="Tesla's autopilot" src="/news/PublishingImages/Mashable_Tesla%20autopilot.jpg?RenditionID=1" style="BORDER:0px solid;" /><p>​Consumer groups brought up limitations of Autopilot's capabilities in a letter to the Federal Trade Commission last week. They called Tesla's autonomous feature "dangerously misleading and deceptive." Instead of focusing on and educating about its partial capabilities, Tesla makes Autopilot seem like a fully autonomous tool through marketing, advertising, company statements, and online content, consumer advocates say. <br/></p><div>That's not the first time Tesla's been under fire for pumping up expectations of Autopilot. Back in 2016, Germany called out the company for claiming the cars could drive themselves more than they really could in Autopilot mode.</div><div><br/></div><div>As with most new technology, Washington University in St. Louis engineering professor Sanjoy Baruah says our expectations are too high. "Users are still trying to get a feel for what it’s supposed to be doing for us," he said about Autopilot and other self-driving tools. And while Autopilot may not be able to handle this basic driving scenario with emergency vehicles blocking the road, Baruah sees how automated tech can be a life-saver for sleepy, distracted, or inebriated drivers. It's a balancing act that we'll eventually get the hang of — and the technology will improve, too. "It's new things we are learning to come to terms with," Baruah said.</div><div><br/></div><div>Try as it might to explain that Autopilot is only semi-autonomous and still requires full driver attention, Tesla has more explaining to do until it becomes clear for drivers. Until then, they'll keep crashing into parked cars — or worse. <br/><br/></div>Sasha Lekach, Mashablehttps://mashable.com/2018/05/30/tesla-autopilot-stationary-crashes/#ssFn4vU0.aqO2018-05-31T05:00:00ZSanjoy Baruah provides expert insight on the recent crashes involved with Tesla's Autopilot. ​
https://engineering.wustl.edu/news/Pages/Engineering-faculty-awarded-$20,000-for-collaborative-research.aspx877Engineering faculty awarded $20,000 for collaborative research<p>​ShiNung Ching, Nate Huebsch, Ulugbek Kamilov and Rohan Mishra have all been awarded grants to promote collaborative research.<br/></p><img alt="" src="/news/PublishingImages/collaborative%20research%20faculty.jpg?RenditionID=12" style="BORDER:0px solid;" /><div id="__publishingReusableFragmentIdSection"><a href="/ReusableContent/36_.000">a</a></div><p>Four assistant professors in the School of Engineering & Applied Science have been awarded $20,000 grants from the School's Collaboration Initiation Grants program, which awards one-year grants to tenure-track faculty to promote collaborative research.</p><p>This year's awardees are ShiNung Ching, Nate Huebsch, Ulugbek Kamilov and Rohan Mishra. Each awardee receives funding from the school and must have $5,000 in cost-sharing from their department or collaborators. Ching and Kamilov each received $5,000 from the Institute of Clinical & Translational Sciences at the School of Medicine.</p><p>The grants encourage faculty to apply for larger, interdisciplinary grants, to create a more synergistic project <g class="gr_ gr_32 gr-alert gr_spell gr_inline_cards gr_disable_anim_appear ContextualSpelling ins-del" id="32" data-gr-id="32">than</g> could be achieved by one researcher in one discipline, and to demonstrate the potential to sustain the collaboration and obtain external funding.</p><p><img src="/Profiles/PublishingImages/Ching_ShiNung.jpg?RenditionID=10" class="ms-rtePosition-2" alt="" style="margin: 10px;"/>Ching, assistant professor of electrical & systems engineering, is collaborating with Rejean Guerriero, assistant professor of neurology and a pediatric neurologist at St. Louis Children's Hospital. They seek to improve signal processing and dynamical systems modeling to provide better explanations of ultraslow network activity in the brain, which they believe is behind a state of unrelenting seizures in critically ill children. They believe this state may be preceded by a novel brain activity pattern that is too slow to be captured on traditional electroencephalogram monitoring devices. Identifying the physiological mechanisms underlying this pattern would allow for intervention and potential treatment of this condition.</p><p><img src="/Profiles/PublishingImages/Huebsch_Nate.jpg?RenditionID=10" class="ms-rtePosition-1" alt="" style="margin: 10px;"/>Huebsch, assistant professor of biomedical engineering, is collaborating with Guy Genin, the Harold and Kathleen Faught Professor of Mechanical Engineering and professor of neurological surgery. They plan to develop an in vitro model of the effects of afterload on human heart cells using their expertise in human-induced pluripotent stem cell-based tissue engineering and biomaterials. With these models, they will apply forces that mimic the forces applied to heart cells when the heart has to pump blood against increased systemic resistance. They will apply this system to muscle cells in the heart that are genetically predisposed to dilated cardiomyopathy, a condition in which the heart's ability to pump blood is decreased. The investigators said that by combining physical and genetic causes of cardiomyopathy within their model, they will make more accurate disease-in-a-dish models that can ultimately be used to discover new therapies.  </p><p><img src="/Profiles/PublishingImages/Kamilov,%20Ulugbek.JPG?RenditionID=10" class="ms-rtePosition-2" alt="" style="margin: 10px;"/>Kamilov, assistant professor of computer science & engineering and of electrical & systems engineering, is collaborating with Hongyu An, associate professor in the Mallinckrodt Institute of Radiology at the School of Medicine and associate director of the Center for Clinical Imaging Research. They plan to develop a novel data-adaptive imaging framework that removes "noise" or errors in magnetic resonance imaging (MRI) caused by patient motion. The work will focus on efficient data acquisition and high-quality image reconstruction. Their goal is to create a single, holistic imaging framework that uses available data to generate error-free images from highly dynamic MRI data.</p><p><img src="/Profiles/PublishingImages/Mishra_Rohan_03.jpg?RenditionID=10" class="ms-rtePosition-1" alt="" style="margin: 10px;"/>Mishra, assistant professor of mechanical engineering & materials science, is collaborating with Vijay Ramani, the Roma B. and Raymond H. Wittcoff Professor of Energy, Environmental & Chemical Engineering. They plan to rationally design cheap and corrosion-resistant, transition-metal-based electrocatalysts that can be used in automotive fuel cells to promote the oxygen-reduction reaction. Currently, fuel cells use expensive platinum-group-metal-based catalysts. Mishra will predict potential catalysts using high-throughput, quantum-mechanical calculations and material informatics. Once discovered, Ramani will synthesize the materials and measure their catalytic activity, and then the team will characterize them for further optimization. Ultimately, they hope to find a catalyst that could meet the Department of Energy's Fuel Cell Program's 2020 targets for activity and stability.</p><p> </p><SPAN ID="__publishingReusableFragment"></SPAN><p><br/></p><p><br/></p>From left: ShiNung Ching, Nate Huebsch, Ulugbek Kamilov and Rohan MishraBeth Miller 2018-05-30T05:00:00ZFour faculty have been awarded grants to collaborate with other university researchers.

Newsletters