WiCS Event: Board Game Night with Less Annoying CRMhttps://engineering.wustl.edu/Events/Pages/WiCS-Event-Board-Game-Night-with-Less-Annoying-CRM.aspx1538WiCS Event: Board Game Night with Less Annoying CRM2018-04-19T05:00:00Z5:30 p.m.7:30 p.m.Less Annoying CRM Office<p><strong>​From WiCS:</strong> "Want to know more about start up culture? Want to unwind from a long week with some board games? Come to board game night with Less Annoying CRM and Women in Computer Science! We'll be meeting in Lopata Gallery and go to the Less Annoyin CRM office together. There will also be free food!" <br/></p><div><p>Please register to arrange transportation: <a href="https://goo.gl/forms/WjoAiJkv2nE2M4GM2" target="_blank" rel="noopener noreferrer">goo.gl/forms/WjoAiJkv2nE2M4GM2</a></p></div>WiCS, Women in Computer Science
CSE Doctoral Student Seminar: Golnoosh Dehghanpoor and Huayi Zenghttps://engineering.wustl.edu/Events/Pages/CSE-Doctoral-Student-Seminar-Golnoosh-Dehghanpoor-and-Huayi-Zeng.aspx1533CSE Doctoral Student Seminar: Golnoosh Dehghanpoor and Huayi Zeng2018-04-20T05:00:00Z12:30 p.m.2 p.m.Lopata Hall, Room 101<p><strong>​"Tensor-Based Unsupervised Feature Learning for Satellite Imagery"</strong></p><p><strong></strong><strong>Golnoosh Dehghanpoor</strong><br/>Adviser: Brendan Juba<br/></p><p>Multispectral image classification has many applications including in environmental and agricultural monitoring . To assess the changes brought about on the island of Nias near Indonesia by the 2004 tsunami and 2005 earthquake, we wish to perform change detection on the patterns of land use. Because of the scale of the problem both in time and in space, unsupervised classification needs to be performed on an appropriate feature space which takes into account different texture patterns belonging to different land covers. Unsupervised feature learning approaches that have been proposed in the literature are based on dictionary learning and auto-encoders. These approaches are iterative and converge to a local minimum. In this work, we propose a novel tensor factorization based approach for this task which obtains a unique solution. The algorithm takes the image as input and by factorizing a tensor made of patches of different sizes, outputs features for different pixels.<br/></p><p><strong>"Neural Procedural Reconstruction for Residential Buildings"</strong></p><p><strong>Huayi Zeng</strong><br/>Adviser: Tao <strong></strong>Ju<br/></p><p>Procedural modeling (PM) has revolutionized the practice of urban planning, architecture, and entertainment. PM procedurally applies shape transformation rules in a shape grammar to synthesize realistic 3D models, which have CAD quality geometries with procedural structures. Discovering such procedural structure and reconstructing CAD quality geometry from raw sensor data, such as images or 3D point-clouds, is a similar but completely different problem which we call procedural reconstruction (PR). A successful PR system could turn city-scale LiDAR scans into high-quality 3D city models with procedural structures, opening doors for novel applications. Unfortunately, most existing PR algorithms start from low-level geometry analysis in a bottom up process requiring dense and near complete 3D points. In this study, we propose a novel approach, dubbed Neural Procedural Reconstruction (NPR), which trains deep neural networks (DNNs) to procedurally apply shape grammar rules and reconstruct CAD-quality geometry models from 3D points.  DNNs detect primitive structures via global analysis of entire buildings, making the reconstruction possible even from incomplete and sparse 3D data. We demonstrated the framework for a shape grammar of residential buildings in England, where LiDAR point-clouds are publicly accessible. Qualitative and quantitative evaluations over hundreds of houses demonstrate that our approach makes significant improvements over the state-of-the-art.<br/></p>
Cybersecurity Graduate Programs Information Sessionhttps://engineering.wustl.edu/Events/Pages/Cybersecurity-Graduate-Programs-Information-Session-April-2018.aspx1377Cybersecurity Graduate Programs Information Session2018-04-24T05:00:00Z4 p.m.6 p.m.Cortex Innovation District, 4240 Duncan, Suite 110<p>Cybersecurity has been and continues to be one of the most growth-oriented career fields in the computer science domain. The total size of the cybersecurity workforce is expected to rise to six million globally by 2019. Graduates of this program will be equipped with the theoretical and hands-on engineering expertise to solve complex cybersecurity problems affecting diverse enterprises worldwide.<br/></p><ul><li><p>Prospective students are invited to join us in an informal setting to learn more about <strong> <a href="/Programs/Pages/cybersecurity.aspx">graduate programs in cybersecurity.</a> Part-time and full-time options are available.</strong></p></li><li><p>Meet academic advisors, admissions representatives, current students and alumni.</p></li><li><p>Registration is recommended, but not required. <br/></p></li><li><p><strong></strong>You may find more information on location and parking at Cortex through the <a href="http://messages.collegenet.com/r/c/ssqAW43vfMcupB0ChEpK7g?i=172540198" target="_blank" rel="noopener noreferrer" style="background-color: #ffffff;">Location and Transportation website</a> for Cortex.<br/></p></li></ul> <span> <div class="twocols first"> <a href="https://www.applyweb.com/fixie/form/s/T8H1dl6" class="widget_button red">>> Register to attend.</a></div> <div class="twocols"> <a href="https://www.reddit.com/r/science/comments/7bcgye/science_ama_series_hello_im_joe_scherrer_i_was_an/?st=j9u4w39i&sh=591e4a72" class="widget_button gray">>> Read our Reddit AMA on Cybersecurity</a></div></span><br/>engineeringgradadmissions@wustl.edu
Discovery Competition Final Presentationshttps://engineering.wustl.edu/Events/Pages/Discovery-Competition-Final-Presentations.aspx1520Discovery Competition Final Presentations2018-04-24T05:00:00Z6 p.m.8 p.m.Rodin AudutoriumDennis Mell
Alumni Achievement Awardshttps://engineering.wustl.edu/Events/Pages/Alumni-Achievement-Awards-4-26.aspx1042Alumni Achievement Awards2018-04-26T05:00:00Z6 p.m.Saint Louis Art Museum, 1 Fine Arts Drive, St. Louis, MO 63110<p><a href="https://wustl.advancementform.com/event/8f48aee3df20c6dd2313/register">​>> Register to attend.</a><br/></p><p>Join Dean Aaron Bobick and the School of Engineering & Applied Science in honoring the 2018 award recipients.<br/></p><p><strong>6 p.m.</strong> — Reception<br/><strong>6:30 p.m.</strong> — Program<br/>Dinner to follow.<br/></p><p rtenodeid="3"><strong>Young Alumni Award<br/></strong>Ms. Nathalie de Vos Burchart, BSChE '04<br/>Managing Partner<br/>Heathwood Enterprises, Ltd. </p><p><strong>Alumni Achievement Awards<br/></strong>Mr. Vincent Belusko, BSCivE '78<br/>Partner<br/>Morrison & Foerster, LLP</p><p>Mr. Steve Lowy, BSChE '68 MSChE '70<br/>President - Lowy Enterprises, Inc.<br/>Chairman - Envision, LLC<br/></p><p>Mr. Cedric Yu, MSEE '85, DScEE '89<br/>Professor, Radiation Oncology<br/>University of Maryland School of Medicine</p><p><strong>Dean's Award </strong><em>on behalf of their leadership with the Women & Engineering Initiative</em><br rtenodeid="3"/>Ms. Jan Holloway, MSAMCS '88<br/>Senior Vice President, Chief of Staff<br/>and Community Relations<br/>Monsanto</p><p>Ms. Michele Liebman, BSSDP '86<br/>Principle (ret.)<br/>Edward Jones<br/></p>Engineering Alumni & Development, 314-935-8730
CSE Master's Thesis Defense: Jae Sang Hahttps://engineering.wustl.edu/Events/Pages/CSE-Masters-Thesis-Defense-Jae-Sang-Ha.aspx1566CSE Master's Thesis Defense: Jae Sang Ha2018-04-27T05:00:00Z11 a.m.noonJolley Hall, Room 309<p>​"<strong>The Development of Scalable Simulator for Spiking Neural Network"</strong></p><div rtenodeid="7"><strong>Jae Sang Ha</strong></div><div>Thesis Adviser: Shantanu Chakrabartty</div><div><br/></div><div>A neural network simulator for Spiking Neural Network (SNN) is a useful research tool to model brain functions with a computer. With this tool, different parameters can be explored easily compared to using real brain. For several decades, researchers have developed many software packages and simulators to accelerate research in computational neuroscience. However, despite their advantages, different neural simulators possess different limitations, such as flexibility of choosing a  neuron. In this paper, I demonstrate an efficient and scalable spiking neural simulator that is based on growth transform neurons and runs on a single machine. The growth transform neuron model’s update is based on matrix-vector multiplication, which is optimized using external libraries—BLAS and sparseBLAS. Using sparseBLAS, the scability of the simulator was optimized with sparse representation of matix. This simulator can simulate up to 1 million neurons and is flexible with neuron model changes behind the simulator. With different parameters, a researcher can design a variety of network topology, visualize a coupling matrix and simulate a designed network. I intend to make this simulator widely available to the public so that researchers can have an easy access to large-scale simulations.<br/><p><br/></p></div>
CSE Doctoral Student Seminar: Henry Chai and Zhicheng Cuihttps://engineering.wustl.edu/Events/Pages/CSE-Doctoral-Student-Seminar-Henry-Chai-and-Zhicheng-Cui.aspx1535CSE Doctoral Student Seminar: Henry Chai and Zhicheng Cui2018-04-27T05:00:00Z12:30 p.m.2 p.m.Lopata Hall, Room 101<p><strong>​Henry Chai</strong><br/>Adviser: Roman Garnett</p><p> <strong>Zhicheng Cui</strong><br/>Adviser: Yixin Chen<br/></p>
WiCS Event: Graduation Celebrationhttps://engineering.wustl.edu/Events/Pages/WiCS-Event-Graduation-Celebration.aspx1539WiCS Event: Graduation Celebration2018-04-30T05:00:00Z5 p.m.7:30 p.m.Lopata Gallery<p>​From WiCS: "Free meal will be provided! It's a great chance to talk to seniors and peers about study and life! Seats are limited, so reservation required. Please reserve through the following link: <a href="https://goo.gl/forms/ZwAzlH3YatHcWzRF3" rtenodeid="3"><em>senior</em></a><em> </em>and <em><a href="https://goo.gl/forms/rYLbXrl3Tqr7vYQn1" rtenodeid="4">everyone else.</a>"</em></p>
Women & Engineering Leadership Society Applications Duehttps://engineering.wustl.edu/Events/Pages/WE-Leadership-Society-Applications-Due.aspx1544Women & Engineering Leadership Society Applications Due2018-05-04T05:00:00Z<p>​The Society creates a network for female engineers associated with Washington University in St. Louis. It pairs engineering students (juniors and seniors) with experienced female engineers (often alumnae) with similar professional interests to form "bear pairs." The Society meets at a spring leadership summit has 1-2 events per semester. Costs are complimentary, courtesy of the Women & Engineering program.</p><p><a href="https://wustl.az1.qualtrics.com/jfe/form/SV_2aFMm4h0dATeQJL" target="_blank" rel="noopener noreferrer">>> Please review the application form for more information.</a> <br/><br/>Applicants will be notified of your acceptance this summer. <br/></p>Emily Boyd, 314-935-6193
CSE Doctoral Student Seminar: Sayantan Bhadra and Athena Tabakhihttps://engineering.wustl.edu/Events/Pages/CSE-Doctoral-Student-Seminar-Sayantan-Bhadra-and-Athena-Tabakhi.aspx1536CSE Doctoral Student Seminar: Sayantan Bhadra and Athena Tabakhi2018-05-04T05:00:00Z12:30 p.m.2 p.m.Lopata Hall, Room 101<p><strong>Sayantan Bhadra</strong><br/>Adviser: Mark Anastasio<br/></p><p><strong>Athena Tabakhi</strong><br/>Adviser: William Yeoh<br/></p>
CSE Doctoral Student Seminar: Lav Gupta and Maede Zolanvarihttps://engineering.wustl.edu/Events/Pages/CSE-Doctoral-Student-Seminar-Lav-Gupta-and-Maede-Zolanvari.aspx1537CSE Doctoral Student Seminar: Lav Gupta and Maede Zolanvari2018-05-11T05:00:00Z12:30 p.m.2 p.m.Lopata Hall, Room 101<p><strong>Lav Gupta</strong><br/>Adviser: Raj Jain </p><p><strong>Maede Zolanvari</strong><br/>Adviser: Raj Jain<strong></strong><br/></p>
Undergraduate and Graduate Recognition Ceremonyhttps://engineering.wustl.edu/Events/Pages/Undergraduate-and-Graduate-Recognition-Ceremony.aspx1561Undergraduate and Graduate Recognition Ceremony2018-05-17T05:00:00Z1:30 p.m. Field House, Athletic Complex