CAD Seminars
The CAD Seminar Series is a dedicated platform for advancing knowledge, fostering innovation, and promoting collaboration across the fields of Computation, Artificial Intelligence, and Data Science. This series brings together leading experts, researchers, and professionals to explore the latest developments, tackle emerging challenges, and drive forward-thinking solutions at the convergence of these critical disciplines.
Objectives:
• Advance Knowledge: Share cutting-edge research and insights that push the boundaries of what is known in CAD.
• Foster Innovation: Encourage the development of novel ideas and solutions through interdisciplinary dialogue and creative thinking.
• Promote Collaboration: Unite expertise across disciplines and build bridges between academia, industry, and government to address complex problems and create opportunities for joint ventures.
Target Audience: The CAD Seminar Series is designed for a diverse audience, including faculty, researchers, students, and professionals in Computation, AI, Data Science, and related fields. It serves as a forum for exchanging ideas, networking, and contributing to the growth of these rapidly evolving areas.
Schedule: The seminars are organized by Rohini Kumar and Yan Wang and will be held on a weekly basis (unless otherwise noted) throughout the academic year. For Fall 2024, the seminars are scheduled for Wednesdays from 2:30 PM to 3:30 PM (EST), and will be available both in-person at 1146 FAB and online. Each seminar will spotlight a particular topic, providing an in-depth exploration and fostering lively discussions. We highly recommend in-person attendance to enhance engagement and networking opportunities with speakers and fellow participants.
2024–25 seminars
September 4, 2024
Unpacking the loss of coordination dynamics in the schizophrenia brain: Experiments on fMRI data (Seminar Video)
Vaibhav A. Diwadkar (Psychiatry & Behavioral Neurosciences, Wayne State University)
September 11, 2024
Advancing air mobility via optimization and AI (Slides)
Yanchao Liu (Industrial and Systems Engineering, Wayne State University)
September 18, 2024
Fundamental Convergence Analysis of Sharpness-Aware Minimization (Seminar Video)
Dat Tran (Mathematics, Wayne State University)
September 25, 2024
Mechanistic Modeling of Spatiotemporal Drug Penetration and Exposure in the Human Central Nervous System and Brain Tumors (Seminar Video)
Jing Li (Oncology, Wayne State University)
October 2, 2024
Information-Theoretic Generalization Bounds for Deep Neural Networks (Seminar Video)
Haiyun He (Center for Applied Math, Cornell University)
October 9, 2024
Intention Recognition and Trajectory Tracking in Human-Robot Interaction Using Deep Learning and VR (Seminar Video)
Sara Masoud (Industrial and Systems Engineering, Wayne State University)
October 23, 2024
Leveraging Machine Learning to Analyze Stochastic Models of Intracellular Networks
Ankit Gupta (Department of Biosystems Science and Engineering, ETH Zurich)
October 30, 2024
From Structure to Movement: Computational Modeling of Biomolecules in Motion (Seminar Video)
Mindy Huang (Physics and Astronomy, Wayne State University)
November 6, 2024
Neural Networks in Numerical Partial Differential Equations (Seminar Video)
Zhiqiang Cai (Department of Mathematics, Purdue University)
November 13, 2024
Sufficient Dimension Reduction and Variable Selection by Feature Filter (Seminar Video)
Pei Wang (Applied Statistics and Operations Research, Bowling Green State University)
November 20, 2024
Optimal Detection of Spatial Anomaly Regions (Seminar Video)
Chao Zheng (School of Mathematical Sciences, University of Southampton)
December 4, 2024
Location privacy and random walk (Slides)
March Boedihardjo (Department of Mathematics, Michigan State University)
December 11, 2024
The Interplay between Privacy and Robustness: from Mean Estimation to LLM Alignment (Seminar Video)
Xingyu Zhou (Electrical and Computer Engineering, Wayne State University)
January 22, 2025
Silicon Intelligence with Purpose: Solutions for Life and Exploration (Seminar Video)
Leon Xu (Microsoft)
January 29, 2025
Unreal Mind, Unreal Sight: AI-Enhanced Augmented Reality for Treating Social and Occupational Dysfunction in PTSD (Seminar Video)
Arash Javanbakht (Psychiatry and Behavioral Neurosciences, Wayne State University)
February 5, 2025
Implementing AI in Educational Environments (Seminar Video)
Rob Thompson, Adam Perkins, and Curtis Kratt (Computing & Information Technology, Wayne State University)
February 12, 2025
Advancing Autonomous Monitoring and Prognostics: Novelty Detection and AI-Driven Solutions (Seminar Video)
Ratna Babu Chinnam (Industrial and Systems Engineering, Wayne State University)
February 19, 2025
The Application of Artificial Intelligence/Machine Learning in Drug Development and Regulation (Seminar Video)
Ruihao Huang (U.S. Food and Drug Administration)
February 26, 2025
TBA (Seminar Video)
Audrey Fu (Family Medicine and Public Health Sciences, Wayne State University)
March 19, 2025
TBA (Seminar Video)
Keshav Kasturi Rangan (Chemical Engineering and Materials Science, Wayne State University)
March 26, 2025
TBA (Seminar Video)
Yi Zhu (Computer Science, Wayne State University)
April 2, 2025
TBA (Seminar Video)
Haiyong Liu (Linguistics, Wayne State University)
April 9, 2025
TBA (Seminar Video)
Ahmed Mohamadean (Technology, Information Systems and Analytics, Wayne State University)
April 16, 2025
TBA (Seminar Video)
Mahbub Islam (Mechanical Engineering, Wayne State University)