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:
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Pervasive Computing and Middleware (activity recognition, energy efficient remote monitoring, QoI, physiological data modeling)
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Wireless SensorNetworks (sensor data stream processing, sensor-driven decision making, embedded sensor system)
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Smart Environments (sensor-driven smart healthcare and rehabilitation, a fine-grained building energy monitoring and control)
Research Assistant Professor Postdoctoral Research Associate
Research Assistant Professor (Spring 2023– Present)
Research Interests:
- Distributed machine intelligence at the edge
- IoT Enhanced Smartspaces
- Wireless Communication and Networking
- Cyber-Physical System with Human Feedback
Postdoctoral Research Associate
Research Intrests:
- Self-supervised Learning
- Smart Health
PhD Students
Current year PhD candidates and dissertation titles.
Ph.D. Student (Spring 2022 – Present)
Research Interests:
- Edge Computing
- Robotics
- Distributed Computing
Ph.D. Student (Spring 2024 – Present)
Research Interests:
- Deep Learning
- Video Signal Processing
- Medical Imaging
- Computer Vision
Ph.D. Student (Fall 2021 – Present)
Research Interests:
- Autonomous Driving/Systems
- Reinforcement Learning
- Robotics
Ph.D. Student (Fall 2024 – Present)
Research Interests:
- Federated Learning
- Distributed DNN training and inference on edge devices
Ph.D. Student (Spring 2020 – Present)
Research Interests:
- Sensor-based human activity recognition
- Computer vision
- Deep learning
Ph.D. Student (Fall 2020 – Present)
Research Interests:
- Micro Activity Recognition
- Machine Learning
- Deep Learning
PhD Student (Fall 2019 – Present)
Research Interests:
- Edge Computing
- Deep Model Compression
- Federated Learning
- Robot Operating Systems (ROS)
MS Students
Current Year Research Assistants
M.S. Information Systems (2024 – Present)
Research Intrests:
- Internet Of Things
- Computer Vision
- MMwave Radar
M.S. Data Science (2023 – Present)
Research Interests:
- Computer Vision
- Deep Learning
- Reinforcement Learning
- Robotics