Sagnik Dakshit, Ph.D
Assistant Professor

University of Texas at Tyler

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Dr. Sagnik Dakshit as an Assistant Professor in the Computer Science department at The University of Texas at Tyler. His research focuses my on Explainable and Human-allied AI systems in Healthcare. He has been working on developing tools, algorithms and methods for addressing the predominant challenges for the efficient development of deployable decision support systems. His research targets improvement in health, wellbeing and patient outcomes using (1) Physiological multi-modal time-series signals, (2) Healthcare 2D and 3D Vision, (3) Human Centered Computing technologies.  

He obtained his Ph.D. in Computer Sciences from The University of Texas at Dallas , USA, specializing on Intelligent Systems and B.Tech from WBUT, India. During his Ph.D., he has worked on various research projects with Robert Bosch, Seagate Technologies, HP Machine Learning Lab, Nokia Bell Labs. Prior to his Ph.D he has worked on software development projects with IBM, and Tata Technologies.


Dr. Dakshit serves as a reviewer for the Journal of Healthcare Informatics Research, IEEE Transactions on Multimedia, Multimedia Systems (Springer), ACM International Conference on Multimedia Retrieval, NIPS, ICLR, ICHI and ACM Information Hiding and Multimedia Security. He was part of the Program Committee for the International Conference on Healthcare Informatics 2020 Special Session on COVID-19.

Research Interests

Explainable AI, Machine Learning, Deep Learning, FAccT ML,  Healthcare Informatics

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Work Experience

Assistant Professor Fall 2023

Research/Teaching Assistant 2018-2023

Deep learning Research Intern Summer 2023

Machine Learning Research Intern Summer 2022

Machine Learning Research Intern Summer 2021

Aug. Human Sensing Research Intern Summer 2020

Software Development Intern Winter 2017

Software Development Intern Summer 2016