“If not now, when? If not you, who?”
― Hillel the Elder
Resume: download_link, last_updated: March 18, 2022
PhD Student, Computer Science and Engineering, Computational HCI Lab,
University of Michigan, Ann Arbor
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.
- Applied Machine Learning
- Computational Modeling
- Human-Computer Interaction (HCI)
- Computer Vision
- Data Visualization
- Precision Health
- 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
- A book chapter titled “Sensor-Based Human Activity and Behavior Computing” got published in Springer, book name: Vision, Sensing and Analytics: Integrative Approaches
- 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)
- A paper titled “Static Postural Transition-based Technique and Efficient Feature Extraction for Sensor-based Activity Recognition” accepted in Pattern recognition Letters journal 2021. (This work belongs to my undergrad research)
- A paper titled “Recognition of human locomotion on various transportations fusing smartphone sensors” accepted in Pattern recognition Letters journal 2021. (This work belongs to my undergrad research)
- 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
- 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.
- Received “Deans Award” for academic excellence by Dept. of Electrical and Electronic Engineering, University of Dhaka
- Got BSc Govt. Scholarship from University of Dhaka (2020)
- A book named “IoT Sensor-Based Activity Recognition – Human Activity Recognition” has been published under Intelligent Systems Reference Library, Springer Nature, Switzerland.
Portfolio: Anindya Das Antar