About Me

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

Curriculum Vitae (CV) [last_updated: Feb 2024]

Current:
Ph.D. Candidate, Computer Science and Engineering, Computational HCI Lab,
University of Michigan, Ann Arbor

Email: adantar@umich.edu
Twitter: https://twitter.com/AntarAnindya

My research focuses on developing human-centered behavior models and explaining their complex decision-making process to different ML stakeholders (e.g., model designers and domain experts). I believe there is an opening to push the boundaries of computational modeling in human-computer interaction (HCI) by modeling people’s behaviors based on the data collected from mobile, smart, and 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 lives and well-being.

I work in the domains of applied Machine Learning (ML), behavior modeling, and human-centered interactive eXplainable AI (XAI). My primary focus is to explore how complex black-box ML models make decisions and how different stakeholders can input missing domain knowledge into these models. 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 worked as a visiting researcher at Yagi Lab, Osaka University, ISIR, in the field of computer vision-based medical behavior monitoring. I also worked as an exchange student in the Computer Science and Intelligent Systems department at 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
  • Human-centered Behavior Modeling
  • Human-Computer Interaction (HCI)
  • Interactive Explainable AI

Recent Updates

  • I worked as a student volunteer for 7th Summer School on Computational Interaction, University of Michigan. Weblink
  • Presented at the Ubicomp 2023 conference in Mexico

Older Updates

  • I worked as a co-mentor and teaching assistant for Machine Learning Research group, Big Data Summer Institute 2021, School of Public Health, University of Michigan. Weblink
  • Our Research group was featured in Michigan News Center for research contributions employing AI to help address COVID-19 challenges.
    Link: Understanding the Effect of Human Behaviors on Social Distancing,
    How predictive modeling could help us reopen more safely
    Video: https://youtu.be/KzfIW6-hjj4
  • 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 “Action recognition using Kinematics Posture Feature on 3D skeleton joint locations” accepted in Pattern recognition Letters Journal 2021. (This work was done in Yagi Lab, Osaka University)

Portfolio: Anindya Das Antar