2022 Lecture Series

Visible to the public 

2 0 2 2 L E C T U R E S E R I E S

This summer we have a jam-packed lecture series featuring presenters with wide-ranging expertise in multiple disciplines on Vanderbilt's campus and globally. These exciting talks will provide an excellent opportunity to gain exclusive insight into the projects that we here at VU-ISIS (and other departments) are working on and affiliated with.


2022 SCHEDULE

Wednesday, May 25: David Hyde (recording found here)

David Hyde is part of the Computer Science faculty at Vanderbilt University. He was first a Regents Scholar at UCSB, earning a B.S. in Mathematics with highest honors at age 19. Hyde then earned a Ph.D. in Computer Science (with Distinction in Teaching) from Stanford, where he was a DoD NDSEG Fellow and a Gerald J. Lieberman Fellow. He also earned M.S. degrees in computer science and applied math. Most recently, David was a PIC Assistant Adjunct Professor in the Department of Mathematics at UCLA. Hyde's research has been supported by the Army Research Lab, the Department of Energy, and BHP. In an earlier life he helped build successful technology companies in quantum computing, databases, and data science.

Wednesday, June 1: Kevin Leach (recording found here)

Kevin Leach is an Assistant Professor of Computer Science at Vanderbilt. Kevin's research spans the areas of cybersecurity and software engineering. He is particularly focused on designing dependable systems that operate correctly in spite of being compromised by sophisticated adversaries. He has published over 30 refereed articles, 3 of which have received awards. Previously, he was a research scientist and lecturer at the University of Michigan. He earned the PhD from the University of Virginia in 2016, where he received the Louis T Rader Outstanding Research Award.

Wednesday, June 8: Yu Huang (recording found here)

Dr. Huang's group focuses on software engineering and human factors, including user cognition, sustainability for open source software, AI for software engineering, and software engineering education. Broadly, she solves problems to understand and improve the effectiveness and efficiency of software engineering activities. Her work spans software, hardware, medical imaging, eye tracking, and mobile sensing, collaborating with researchers from Psychology and Neuroscience, and research labs in CS industry. Her group also works on social aspects in software engineering community.

Dr. Yu Huang received her PhD in Computer Science from University of Michigan in 2021. She received her MS in Computer Engineering from University of Virginia in 2015 and her BS in Aerospace Engineering from Harbin Institute of Technology in China in 2011.

Wednesday, June 15: Meiyi Ma (recording found here)

Meiyi Ma is an Assistant Professor in the Department of Computer Science at the Vanderbilt University. Her research interest lies at the intersection of Machine learning, Formal Methods, and Cyber-Physical Systems. Specifically, her work develops rigorous and robust AI by integrating formal methods and machine learning, and applies new integrative solutions to build safe and reliable Cyber-Physical Systems, with a focus on smart city and healthcare applications. Meiyi's research has been published in top-tier machine learning and cyber-physical systems conferences and journals, including NurIPS, EmSOFT, ICCPS, etc. She has received multiple research awards, including the EECS Rising Star at UC Berkeley, the CDAC Rising Star in Data Science. She is serving as the information director for ACM Transactions on Computing for Healthcare. She also has served as an organizing committee member for several international conferences and workshops. For more information: https://meiyima.github.io/

Wednesday, June 23: Forrest Laine (recording found here)

Forrest has accepted an offer to join as an Assistant Professor of Computer Science at Vanderbilt University starting Fall 2021. If you are a student interested in doing a Ph.D. on numerical optimization and game theory applied to robotics problems, email him!

Forrest is currently a 5th-year Ph.D. candidate at UC Berkeley, advised by Professor Claire Tomlin. His research is on the design of numerical methods for the safe and effective deployment of autonomous systems. He focuses predominantly on theoretic and algorithmic developments of methods related to dynamic game theory, and the application of such methods to robotic systems. Problems Forrest is particularly interested in are those of mult-agent interaction, multiple-object tracking, trajectory optimization, and robust machine learning.

Forrest is originally from Bellingham, Washington. When not doing research, he loves to spend time outside.

Wednesday, June 29: Adam Tagert (recording found here)

Adam Tagert is the technical director of the National Security Agency Science ofSecurity Initiative. He sets the technical direction for research projects at 18 Science of Security (SoS)funded universities, leads the NSA Best Cybersecurity Paper Competition, guides theSoS awards at the International Science and Engineering Fair, and builds communitywith the SoS Virtual Organization. He received his Ph.D. from Carnegie MellonUniversity in Engineering and Public Policy where he researched nationalcybersecurity strategies of small developing nations, particularly Rwanda. Adam obtained a Computer Science degree from Princeton University.

Wednesday, July 6: Dasom Lee (recording unavailable)

Dasom Lee uses quantitative methods to communicate and collaborate with policy scholars, engineers, and computer scientists. She majored in Sociology at the London School of Economics and subsequently moved to Japan and earned her master's degree in Economics at Kyoto University. She is currently a PhD candidate in Sociology at Vanderbilt University with a minor in Quantitative Methods. Her research falls along two lines of inquiry: (1) how corporations and other social actors should pursue responsible innovation and (2) how new and emerging cyber-physical systems such as smart meters, transactive energy, and connected and automated vehicles change discourses around policy and innovation.

Wednesday, July 13: Daniel Balasubramanian

Dr. Daniel Balasubramanian is a research scientist at VU-ISIS at Vanderbilt University, and an adjunct assistant professor of Computer Science in the EECS department. His research interests include symbolic execution, code analysis, the lightweight application of formal methods and analysis to model-based development. He is currently working on a dynamic symbolic execution engine for JAVA and teaching an undergraduate course on operating systems. In past he has worked on the DARPA STAC program, the Microsoft FORMULA tool, the DARPA F6 project, the Graph Rewriting and Transformation tool, and the Universal Data Model. Balasubramanian received his PhD in computer science from Vanderbilt University.
Contact?: daniel (dot) a (dot) balasubramanian (at) vanderbilt (dot) edu

Wednesday, July 20:

TBD

Wednesday, August 3: Graduate School Information Session with Gabriel Luis

Gabriel Luis has been the Director of Graduate Recruiting for the School of Engineering at Vanderbilt for almost 3 years, overseeing the recruitment of domestic and international students for undergraduate summer research, Masters and PhD programs in engineering. He has a host of experience in the field domestically and internationally having worked in recruitment, international relations, and teaching prior to joining Vanderbilt. Gabriel is fluent in Mandarin Chinese, English, and Spanish. He received his B.A. from Emory University, and his M.A. from The Chinese University of Hong Kong.

For this session, Gabriel is happy to present to you information on Vanderbilt's Masters and FULLY FUNDED Ph.D. programs, and answer any questions.