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Indrajeet Ghosh
Indrajeet Ghosh
PhD Candidate
PhD Candidate
MPSC Research Group,
Dept. of Information Systems
UMBC, Baltimore, USA
MPSC Research Group,
Dept. of Information Systems
UMBC, Baltimore, USA
I am a 5th year PhD candidate at the Department of Information Systems at the University of Maryland Baltimore County, working with Dr Nirmalya Roy in the 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 interest lies in wearable computing, brain computer interfaces and human activity recognition in smart connected environments. Currently, I am working on understanding the working/episodic memory under stress environment and examining the relationships between behaviors, cognitive functions and associated actions throughout the lifespan of individuals. My motivation is to create interdisciplinary research with the intention of improving quality of life by employing wearable and ubiquitous sensing technologies. I also have interests in multi-habitant activity recognition and cyber-physical systems in urban and smart environments.
Research Interests :
Human Activity Recognition
Multi-Modularity Sensing
Human Computer Interaction - BCI
Human-Robot Interaction
Mobile and Ubiquitous Computing
Cyber Physical Systems
Human-Centered AI for Health
Latest News
Latest News
Awards & Updates:
Awards & Updates:
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:
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:
Professional Experiences:
Graduate Research Assistant, Center for Real-time Distributed Sensing and Autonomy Lab, UMBC, Aug 2022 - Present
Graduate Research Assistant, Mobile, Pervasive & Sensor Computing Lab, UMBC, Aug 2018-Aug 2022
Graduate Assistant Grader, UMBC, January - May, 2022 - IS410: Introduction to Database Design (UMBC)
Graduate Teaching Assistant, UMBC, August - Dec, 2021 - IS 320: Advanced Business Applications (UMBC)
Graduate Teaching/Grader Assistant, UMBC, August - Dec, 2021 - IS733: Data Mining (UMBC)
Graduate Assistant Grader, UMBC, January, 2021 - IS 451: Network Design and Management (UMBC)
Summer Intern, CRISP, Bhopal, Madhya Pradesh, India, 2016
NSF REU Mentoring:
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.
Professional Services:
Professional Services:
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
TPC IEEE/ACM COMSNETS 2025 Poster Session
Reviewer:
ACM KDD (2024, 2025)
Scientific Reports (2024)
Asian Conference on Machine Learning (ACML) (2024)
IEEE PerCom (2021, 2022, 2023)
IEEE SmartComp (2021, 2022, 2024)
Elsevier PMC Journal (2022, 2024)
IEEE/ACM CHASE (2022, 2023)
IEEE ML for Big Data Analytics in Remote Sensing (co-located with IEEE BigData Conference) (2021)
Journal of Sports Sciences (2024)
International Journal of Data Science and Analytics (2024)
PLOS ONE (2024)
Contact:
Contact:
Email: indrajeetghosh@umbc.edu
Contact Number: +1 410-971-0662
ITE 457, 1000 Hilltop Circle, Baltimore, 21250, USA
Profile:
Profile:
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