Team
Team
Embedded Files
Principal Investigator
Principal Investigator
Professor
Nirmalya Roy is currently a Professor in the Information Systems department at University of Maryland Baltimore County. He directs the Mobile, Pervasive and Sensor Computing (MPSC) Lab. Before joining UMBC, he was a Clinical Assistant Professor in the School of Electrical Engineering and Computer Science at Washington State University from January 2012 to June 2013. Prior to that, he worked as a Research Scientist at Institute for Infocomm Research (I2R), Singapore from 2010 to 2011. He was a postdoctoral fellow in Electrical and Computer Engineering Department at The University of Texas at Austin from 2008 to 2009. He received his Ph.D. and M.S. in Computer Science and Engineering from The University of Texas at Arlington in 2008 and 2004 respectively. He did his Bachelors in Computer Science and Engineering from Jadavpur University, India in 2001.
Research Interests:
Pervasive Computing and Middleware (activity recognition, energy efficient remote monitoring, QoI, physiological data modeling)
Wireless SensorNetworks (sensor data stream processing, sensor-driven decision making, embedded sensor system)
Smart Environments (sensor-driven smart healthcare and rehabilitation, a fine-grained building energy monitoring and control)
Research Assistant Professor
Research Assistant Professor
Research Assistant Professor (Spring 2023- Present)
Research Interests:
Edge Computing & Low-Power AI for IoT
IoT Enhanced Smart Spaces
Human-Computer Interaction
Mobile Computing and Wireless Networking
Adjunct Assistant Professor
Adjunct Assistant Professor
Adjunct Assistant Professor (Fall 2023 - Present)
Applied Scientist, Amazon
Adjunct Assistant Professor (Fall 2023 - Present)
Applied Scientist, Amazon
Research Interests:
Representation Learning
Multimodal Learning
Domain Adaptation
Research Interests:
Human-Wildlife Conflict Mitigation
AI Applications in Wildlife Management
Sustainable Ecosystem Balance
Postdoctoral Research Associate
Postdoctoral Research Associate
Postdoctoral Research Associate (Fall 2024– Present)
Research Interests:
Deep Learning
Reinforcement Learning
Machine Learning Theory, and Application
Ph.D. Students
Ph.D. Students
David Welsh
David Welsh
PhD Student (Fall 2017 – Present)
Research Interests:
Mobile gunshot detection
Bio-metrics for firearm training
Embedded firearm sensors
Firearm behavior recognition
Ph.D. Student (Fall 2020 - Present)
Research Interests:
Micro Activity Recognition
Machine Learning
Deep Learning
Ph.D. Student (Fall 2021 - Present)
Research Interests:
Autonomous Driving/Systems
Reinforcement Learning
Robotics
Ph.D. Student (Spring 2022 - Present)
Research Interests:
Edge Computing
Robotics
Distributed Computing
Shadman Sakib
Shadman Sakib
Ph.D. Student (Spring 2024 - Present)
Research Interests:
Physiological Health Monitoring
Computer Vision
Video and Image Processing
Gaurav Shinde
Gaurav Shinde
Ph.D. Student (Fall 2024 - Present)
Research Interests:
Federated Learning
Machine Learning and its applications
Masters and Undergraduate Students
Masters and Undergraduate Students
Vinay Krishna Kumar
Vinay Krishna Kumar
Masters Student (Spring 2024- Present)
Research Interests:
Federated learning
Machine learning in healthcare
Robotics
Wireless communication
Snehalraj Chugh
Snehalraj Chugh
M.P.S in Data Science Student (Spring 2024- Present)
Research Interests:
Computer Vision
Deep Learning
Reinforcement Learning
Robotics
Milind Rampure
Milind Rampure
Masters Student (Fall 2024- Present)
Research Interests:
Internet of Things
Computer Vision
Robotics
Jared Lewis
Jared Lewis
Undergraduate Student (Spring 2024- Present)
Research Interests:
Sensor Technology
Federated learning
Robotics
Signal Processing
Graduated Ph.D. Students
Graduated Ph.D. Students
Postdoctoral Research Associate at UMBC (Summer 2025– Present)
PhD Timeline: Spring 2020 – Spring 2025
Thesis: Pixel-Level Scene Recognition Under Diverse Constraints
Postdoctoral Research Associate at UMBC (Fall 2024– Present)
PhD Timeline: Spring 2020 – Spring 2024
Thesis: Learning View-invariant and Novel Spatio-temporal Features Under Uncertainty from Video Data
ORISE Research Fellow at FDA
ORISE Research Fellow at FDA
PhD Timeline: Spring 2018 – Fall 2023
Thesis: An IoT Assisted Machine Learning Framework for Monitoring the Thermal Variation on Building Envelope
Assistant Professor, Bowie State University
Assistant Professor, Bowie State University
PhD Timeline: Fall 2018 – Summer 2023
Thesis: Towards Developing Scalable Human Activity Recognition Approach in IoT
[PDF]
PhD Timeline: Spring 2017 – Summer 2022
Thesis: A Scalable Holistic Physical and Social Sensing Framework for Disaster Management
[PDF]
PhD Timeline: Spring 2017 – Summer 2022
Thesis: A Counterfactual Verified Semi-Supervised Learning Framework for Older Adults' Functional and Cognitive Health Assessment
PhD Timeline: Spring 2018 – Summer 2022
Thesis: Building Robust Human Activity Recognition from Unlabeled Data
PhD Timeline: Fall 2017 – Spring 2022
Thesis: Vision and AI Enabled Flood Detection Systems in Urban Environment
PhD Timeline: Spring 2014- Fall 2017
Thesis: Context-Aware Multi-Inhabitant Functional and Physiological Health Assessment in Smart Home Environment [PDF]
Former Masters and Undergraduate Students
Former Masters and Undergraduate Students
Vishak Iyer [Thesis: Human Activity Recognition using Bluetooth Signals] [Spring 2017] [PDF]
Sarthak Pathak, Software Developer, Stone Harbor Investments Partners, New York [Thesis: A Holistic Cyber-Physical System to Detect Anomalies in Smart Home Appliances] [Spring 2017] [PDF]
Bipendra Basnyat, P.E., Ph.D. Student, UMBC [Thesis: Feasibility Study of Design & Development of Cyber-Physical Device for Real-Time Detection of Flash Floods in the Smart City] [Spring 2017] [PDF]
Fatimah Alqurmti [Thesis: Detecting Makeup Activities Using Internet-of-Things] [Summer 2019] [PDF]
Joseph Taylor [Undergraduate Student]
Indrajeet Ghosh [Summer 2020] [Thesis: Deepminton: To analyzing stance and strokes to rank badminton players]
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