Indrajeet Ghosh

I am a 1st year Ph.D. student at the Department of Information Systems in University of Maryland Baltimore County working with Dr. Nirmalya Roy in Mobile Pervasive Sensor Computing Lab. I received my Master’s in Information Systems from UMBC. Before joining UMBC, I received my Bachelor’s in Computer Science from Dr. APJ Abdul Kalam Technical University . My research is in the area of wireless computing and micro human activity recognition in sports analytics. Further, I have interests in the area of multi-habitant activity recognition, functional and cognitive health analysis. I focus on developing novel computational techniques to investigate the relationship between players game. Furthermore, I want to develop a smart self-assistive feedback model for the players. Interests : Micro-Activity Recognition Machine Learning Deep Learning Human Activity Recognition

Research Summary

Thesis Draft

I am a Postdoctoral Research Associate at the University of Virginia, working with Dr. Laura Barnes and collaborate with the Link Lab, Digital Technology Core, and the Sensing Systems for Health group. I completed my Ph.D. in Information Systems at the University of Maryland, Baltimore County (UMBC), where I worked with Dr Nirmalya Roy in the Mobile Pervasive Sensor Computing Lab. I also hold a Master’s degree in Information Systems from UMBC and a Bachelor’s degree in Computer Science from Dr. APJ Abdul Kalam Technical University. My research focuses on wearable computing and personalized health assessment with an emphasis on developing adaptive multimodal sensing frameworks for smart, interconnected environments. I aim to advance human-centered AI for health, behavioral biometrics, and context-aware human-centric cyber-physical systems that enable just-in-time adaptive interventions. My dissertation, “Building Scalable Multimodal Sensing Approaches for Human-Centric Cyber-Physical Systems Applications,” introduces cross-domain adaptive learning methods that integrate heterogeneous sensors (EEG, GSR, PPG, IMU, and eye-tracking) to support robust decision-making. My broader goal is to create interdisciplinary, wearable, and ubiquitous sensing technologies that enhance human well-being.

Latest News

Research Interests

Human-centric Cyber Physical Systems
Mobile Systems for Health
Mobile and Ubiquitous Computing
Human-Robot Interaction

Machine learning/Data Mining
Distributed Computing
Robotics
Multimodal Learning

Awards & Recognitions:

MemGaze recognized as a best-ranked paper and invited to KAIS Journal.
Recognized as an OUTSTANDING REVIEWER for KDD 2025 (February Cycle).
National Science Foundation (NSF) Student Travel Grant, IEEE PerCom 2025.
Recognized as an EXCELLENT REVIEWER for KDD 2025 (August Cycle).
Our paper @ ACM CODS-COMAD 2024 Nominated as one of the Best Reviewed Papers of Research Track.
National Science Foundation (NSF) Student Travel Grant, IEEE ICDM 2024.
Department Student Travel Grant, IEEE ICDM 2024.
Student Travel Grant from ACM CODS-COMAD 2024 conference.
National Science Foundation (NSF) Student Travel Grant, International Conference on Pervasive Computing and Communications (PerCom) 2023.
Graduate Student Association (GSA) Travel Grant, International Conference on Pervasive Computing and Communications (PerCom) 2023
Department of Information Systems, Department Scholarship, 2021 ($1000)
Selected as one of the prospective new join PhD students at UMBC in Fall 2020.
Graduate Student Association (GSA) Travel Grant, International Conference on Pervasive Computing and Communications (PerCom) 2020
Department Travel Grant, International Conference on Pervasive Computing and Communications (PerCom) 2020

Education:

Ph.D. in Information Systems, University of Maryland Baltimore County [2020-Present]
M.S in Information Systems , University of Maryland Baltimore County [2018-2020]
B.Tech in Computer Science, Dr A.P.J Abdul Kalam Technical University [2013-2017]

Professional Experiences:

Postdoctoral Research Associate @ UVA, November - Present 2025
Postdoctoral Research Associate @ UMBC, September - November 2025
Graduate Research Assistant, Center for Real-time Distributed Sensing and Autonomy Lab, UMBC, August 2022 - August 2025
Graduate Research Assistant, Mobile, Pervasive & Sensor Computing Lab, UMBC, August 2018-August, 2022
Graduate Assistant Grader, UMBC - IS410: Introduction to Database Design (UMBC), January - May, 2022
Graduate Teaching Assistant, UMBC - IS 320: Advanced Business Applications (UMBC), August - December, 2021
Graduate Teaching/Grader Assistant, UMBC - IS733: Data Mining (UMBC), August - December, 2021
Graduate Assistant Grader, UMBC - IS 451: Network Design and Management (UMBC), January - May, 2021
Summer Intern, CRISP, Bhopal, Madhya Pradesh, India, 2016

NSF REU Mentoring:

I was very fortunate to actively work with some brilliant undergraduate students in Summer.

Matthew Ivler (Pomona College, 2021), SpecTextor: End-to-End Attention-based Mechanism for Dense Text Generation in Sports Journalism.
Adam Goldstein (University of California Berkeley, 2022), HeteroSys: Heterogeneous and Collaborative Sensing in the Wild.
Juan Arizpe-Vega (Delaware State University, 2023), An end-to-end unsupervised varitional autoencoder framework for artifact detection in electroencephalography data.
Sarah Okome (Catonsville Community College, 2023), SSAR: Building scalable activity recognition via limited supervision in a semi-supervised setting.
Cahree Myrick (University of Maryland Baltimore County, 2024), MuCLA: Enhancing Multimodal Cognitive Load Assessment Through Engineered and Explainable Features.

Academic Services:

TPC - IEEE PerCom (WiP), 2026
Web Co-Chairs - International Conference on COMmunication Systems and NETworkS (COMSNETS), 2026
Program Committee - ACM KDD (Research Track), 2025
Publicity Chair - IEEE SmartSys Workshop (co-located with IEEE SmartComp) 2025
TPC - IEEE/ACM COMSNETS 2025 Poster Session
Local Organizing Student - NSF-TIH 2023 (US-India Partnership Conference)
Local Organizing Student - WoWMoM 2019, SmartComp 2019
Organized the Information Systems Poster Day @ UMBC, 2021, 2022

Contact:

Email: indrajeetghosh@umbc.edu
Contact Number: +1 410-971-0662
ITE 457, 1000 Hilltop Circle, Baltimore, 21250, USA

Profile:

Google Scholar

Resume

Github

Page updated

Google Sites

Report abuse