About Me

“If not now, when? If not you, who?”
― Hillel the Elder

Portfolio: Anindya Das Antar
University of Michigan Webpage: http://www-personal.umich.edu/~adantar/

PhD Student, Computer Science and Engineering, Computational HCI Lab,
University of Michigan, Ann Arbor
Email: adantar@umich.edu

My research concentrates on understanding and modeling human behavior in the healthcare domain. I believe that there is an opening to push the boundaries of computational modeling in Human-Computer Interaction (HCI) by modeling behaviors of people based on the data collected from people’s mobile, smart wearable devices, and their instrumented environments. I envision modeling human behavior, which can acquaint the design of prospective user interfaces that reason about and act in response to those behaviors to help people improve the quality of their life and wellbeing.

I work in domains of Applied Machine Learning, Computational Modeling, and Human-Computer Interaction (HCI). My primary focus of work is to analyze how activities and behaviors of patients correlate with their disease symptoms and how technology can coach them to modify their complex routines to be productive, healthy, and safe. My future goal is to infer how Behavior Data Analytics and Computational Interaction can be used to design advanced Behavior-aware User Interfaces that will infer user goals, predict future user actions, describe common user behaviors, and even coach users.

I have finished my B.Sc. in Electrical and Electronic Engineering (EEE) from the University of Dhaka. Before joining the University of Michigan as a Ph.D. student, I have worked as a visiting researcher in Yagi Lab, Osaka University, ISIR in the field of computer vision-based medical behavior monitoring. I also worked as an exchange student in Computer Science and Intelligent Systems department, Osaka Prefecture University. under Japan–Asia Youth Exchange Program in Science (SAKURA) in the field of student behavior monitoring using eye trackers.

Research Interest

  • Applied Machine Learning
  • Computational Modeling
  • Human-Computer Interaction (HCI)
  • Computer Vision

Recent Updates

Older Updates

  • Received Weinberg Institute for Cognitive Science Fellowship by University of Michigan
  • Started PhD in the Department of Computer Science and Engineering, Computational HCI Lab, University of Michigan, Ann Arbor under Prof. Nikola Banovic.
  • A paper titled “Wearable Sensor-Based Gait Analysis for Age and Gender Estimation” was accepted in Sensors Journal.