Team
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)
Ph.D. Students
David Welsh
PhD Student (Fall 2017 – Present)
Research Interests:
Mobile gunshot detection
Bio-metrics for firearm training
Embedded firearm sensors
Firearm behavior recognition
PhD Student (Spring 2018 – Present)
Research Interests:
Sensor Data Mining
Machine Learning
Image Processing
Natural Language Processing
Ph.D. Student (Fall 2018 – Present)
Research Interests:
Wearable Domain Adaptation
Ubiquitous Computing
Smart Sensing
Emon Dey
PhD Student (Fall 2019 - Present)
Research Interests:
Wearable Computing
Signal Processing
Machine Learning Applications
Cyber Physical Systems
PhD Student (Spring 2020 – Present)
Research Interests:
Deep Learning
Reinforcement Learning
Machine Learning Theory, and Application
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
Ph.D. Student (Fall 2021 - Present)
Research Interests:
Autonomous Driving/Systems
Reinforcement Learning
Robotics
Ph.D. Student (Spring 2022 - Present)
Research Interests:
Smart Health
Robotics
Applied Machine Learning
Ph.D. Student (Summer 2022 - Present)
Research Interests:
Machine Learning
Robotics
Graph Algorithms
Geometric Deep Learning
Graph-based Machine Learning
Graduated Ph.D. Students
PhD Timeline: Spring 2017 – Summer 2022
Thesis:
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
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]