Ardhendu Tripathy
Ardhendu Tripathy is an Assistant Professor in the Computer Science department at Missouri S&T and is the principal investigator at Smilelab. Prior to joining Missouri S&T, he was a postdoc with Robert Nowak at University of Wisconsin-Madison, and he received his Ph.D. working with Aditya Ramamoorthy at Iowa State University. His research interests are in the design and analysis of sequential decision-making and representation learning algorithms. He received the NSF CRII award in 2023.
Raja Sunkara
Raja Sunkara is a Ph.D. student in Computer Science who holds a Bachelor’s degree in Aerospace Engineering from the Indian Institute of Technology, Madras. Prior to pursuing his graduate studies, he worked as a data scientist and research engineer in the fields of deep learning and computer vision. Currently, his research focuses on neural networks and global optimization for black-box functions.
Navid Seidi
Navid Seidi is a Computer Science Ph.D. student at Missouri University of Science and Technology, with research interests in Survival Analysis, Smart Health, Machine Learning, and Neural Networks. He holds a Master’s degree in IT Engineering with a focus on Computer Networks from QIAU in Iran, and a Bachelor’s degree in IT Engineering from PNU in Karaj. With over 12 years of experience as an EHR/EMR software developer and Health Informatics Expert in the health industry, Navid has practical knowledge of Health Informatics.
Shreen Gul
Shreen is a M.S. student in Computer Science. She received her B.S. in Computer Science from the University of Engineering and Technology (UET) Lahore. She is working on active learning methods for neural networks.
Joshua Caruso
Joshua is an undergraduate student enrolled in the Computer Science program at Missouri S&T. He is exploring the phenomenon of neural collapse in the terminal phase of training neural networks.