Scholar
Indrajeet Ghosh
Google Scholar ID: YkQVvFIAAAAJ
University of Maryland Baltimore County
Citations & Impact
Citations
193
H-index
6
i10-index
4
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- 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; NSF Student Travel Grant, IEEE ICDM 2024; Department Student Travel Grant, IEEE ICDM 2024; Student Travel Grant from ACM CODS-COMAD 2024 conference; NSF Student Travel Grant, International Conference on Pervasive Computing and Communications (PerCom) 2023; 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; GSA Travel Grant, International Conference on Pervasive Computing and Communications (PerCom) 2020; Department Travel Grant, International Conference on Pervasive Computing and Communications (PerCom) 2020.
Research Experience
- 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; Summer Intern, CRISP, Bhopal, Madhya Pradesh, India, 2016.
Education
- Ph.D. in Information Systems, University of Maryland Baltimore County (2020-Present), Advisor: Nirmalya Roy; 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).
Background
- Research interests: wearable computing, brain-computer interfaces, and human activity recognition in smart connected environments. Currently focusing on understanding working/episodic memory under stress and examining the relationships between behaviors, cognitive functions, and associated actions throughout an individual's lifespan. Aims to create interdisciplinary research to improve quality of life using wearable and ubiquitous sensing technologies.
Miscellany
- Interests include multi-habitant activity recognition and cyber-physical systems in urban and smart environments.
Co-authors