The Texas A&M Institute of Data Science (TAMIDS) has announced four awardees under its Career Initiation Fellow Program. The program was designed to provide early career support to faculty working in any area involving Data Science and to encourage them to propose engagements with TAMIDS activities, programs, or broader mission, to be undertaken during the year of the award. Each Fellow received a $10,000 research bursary, and TAMIDS Director Dr. Nick Duffield will work with them to promote their proposed activities within TAMIDS programs, and develop further engagements within the TAMIDS network of faculty, researchers, and students.
The 2023 Texas A&M Institute of Data Science Career Initiation Fellows work in varied disciplines of foundational and applied Data Science across the University, with TAMIDS engagements involving workshops, and short courses. Many congratulations to the 2023 Fellows!
- Ceyhun Eskin is an Assistant Professor in the Department of Industrial & Systems Engineering, College of Engineering. His research focuses on Analysis and design of networked multi-agent systems. Topics of interest include distributed optimization, game theory, evolutionary game theory, networks, autonomous systems, energy systems and epidemics. He will organize a workshop on multi-agent learning.
- Nilanjana Laha is an Assistant Professor in the Department of Statistics, College of Arts & Sciences. Dr. Laha works in dynamic treatment regimes, high dimensional statistics and shape constrained inference. She will arrange a One-day workshop on “Machine Learning in Healthcare: Promises and Cautions” and develop new research engagements for TAMIDS in the area of public health.
- Bobak Mortazavi is an Assistant Professor in the Department of Computer Science & Engineering, College of Engineering. Dr. Mortazavi’s research interests are focused on Medical Analytics, Prediction, and Comparative Effectiveness, Machine Learning, Embedded Systems Design, Wearable Sensors and Cyber-Physical Systems. Dr. Mortazavi will develop TAMIDS engagements with faculty and students around AI, engineering, and translation for Digital Health through organizing a community workshop and developing data challenges for a hackathon.
- Yang Zhou is an Assistant Professor in the Department of Civil & Environmental Engineering, College of Engineering. Dr. Zhou’s research interests are multi-disciplinary involving traffic flow theory, control theory, and Artificial Intelligence (AI). His research mainly focuses on advancing knowledge of mixed traffic flow theory with different levels of vehicular connectivity and automation, vehicle and transportation control methods, and AI applications on the intelligent transportation system. Dr. Zhou will engage with the leadership of TAMIDS Thematic Labs in Urban AI, Digital Twins, and Operational Data Science to develop collaborative research proposals and extend their communities through organization of seminars and other outreach activities.