Are you a Data Science, AI, or Cybersecurity student looking for an internship or post-grad position? TAMIDS will be hosting a networking social on Wednesday, January 22nd! This is a great opportunity to speak with companies and organizations in your field and network with industry professionals looking for talented students in data science, AI, and cybersecurity. […]
Kai-Cheng Yang is a postdoctoral researcher at Northeastern University’s Network Science Institute. He obtained his Ph.D. in Informatics from the Luddy School of Informatics, Computing, and Engineering at Indiana University Bloomington. His research focuses on creating safe, fair, and trustworthy online information platforms by identifying how malicious actors and flawed systems distort information flow and […]
Event Organizer: Suparno Bhattacharyya, Assistant Research Scientist, TAMIDS The TAMIDS Digital Twins Lab is hosting a virtual workshop with a presentation by Dr. Ján Drgoňa, an incoming associate research professor in the Johns Hopkins University Department of Civil and Systems Engineering. His current research is focused on differentiable programming for scientific machine learning, constrained optimization, […]
AI has an exceptional range of uses in the research process including summarizing documents, finding similar papers, and identifying key points of a body of text. This workshop is for anyone who wants to explore using AI to streamline their search process and synthesize information when conducting a Literature Review. This workshop will introduce tools […]
Join us for weekly coffee chats to learn about the exciting intersection of Data Science, AI/ML, Digital Twina (DTs), and Large Language Moldes (LLMs) in Nuclear Engineering! This event is for NUEN Students interested in learning and incorporating data science into their research or capstone projects and NUEN professionals curious about Data Science, AI/ML, DTs, […]
We introduce DeepSets Operator Networks (DeepOSets), an efficient, non-autoregressive neural network architecture for in-context learning of permutation-invariant operators. DeepOSets combines the operator learning capabilities of Deep Operator Networks (DeepONets) with the set learning capabilities of DeepSets.
Frederica Darema, PhD, is President and CEO of the InfoSymbiotic Systems Society. She has retired as a Senior Executive Service (SES) member and Director of the Air Force Office of Scientific Research where she led the entire basic research investment for the AF and concurrently served as Research Director in the Air Force’s Chief Data […]
Date and Time: Feb 17–21, 2025, 6:30–8:30 pm each dayLocation: Workshop Details This free data science workshop aims to provide an introductory overview of data science topics, specifically designed for participants with minimal to no experience in programming. This workshop is open to all Texas A&M University students. However, to support the unique needs and […]
Join us for a career talk with Dr. Ming-Ray Liao, Survey Statistician at the U.S. Census Bureau. Dr. Liao works on model-based poverty and health insurance estimates, conducts ML-based data imputation, and collaborates on large-scale administrative data projects. Come learn about his transition from academia to government data science, key skills for the industry, and […]
To use AI or to not use AI – that is the topic of this discussion-based workshop. AI is becoming increasingly hard to ignore and its use comes with many consequences, both positive and negative. This workshop aims to present a holistic view of AI and challenge participants to consider how much or how little […]
George Biros is the W. A. “Tex” Moncrief Chair in Simulation-Based Engineering Sciences at the Oden Institute for Computational Engineering and Sciences and has Full Professor appointments with the departments of Mechanical Engineering and Computer Science (by courtesy) at The University of Texas at Austin. He received his BS in Mechanical Engineering from Aristotle University […]
Curious how AI can help you brainstorm research topics or translate a research topic into a research question? In this guided hands-on workshop, you’ll learn how to use AI at the start of your undergraduate research project to help ensure your topic and/or question is clear and focused, complex, interesting, researchable, and arguable.
