Team

Principal Investigator

Dr. Nirmalya Roy

Associate Professor

Nirmalya Roy is currently an Associate Professor in the Information Systems department at University of Maryland Baltimore County. He directs the Mobile, Pervasive and Sensor Computing Group (MPSC). 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 as 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

PhD Candidate (Spring 2017 – Present)

Research Interests:

  • Signal and Image Processing

  • Multi-Inhabitant Activity Recognition

  • Machine Learning

PhD Candidate (Spring 2017 – Present)

Research Interests:

  • Data Mining

  • Social Media Analytics

  • Machine Learning

PhD Candidate (Fall 2017 – Present)

Research Interests:

  • Wireless Sensor Networks

  • Cyber Physical Systems

  • Computer Vision

  • Machine Learning

  • Social Media Analytics

  • Android Application

David Welsh

PhD Student (Fall 2017 – Present)

Research Interests:

  • Mobile gunshot detection

  • Bio-metrics for firearm training

  • Embedded firearm sensors

  • Firearm behavior recognition

PhD Candidate (Spring 2018 – Present)

Research Interests:

  • Micro Activity Recognition

  • Deep Transfer Learning and Domain Adaptation

  • Computer Vision

  • Sensor Fusion

PhD Student (Spring 2018 – Present)

Research Interests:

  • Sensor Data Mining

  • Machine Learning

  • Image Processing

  • Natural Language Processing

PhD Student (Fall 2018 – Present)

Research Interests:

  • Machine Learning

  • Domain Adaptation

  • Micro Activity Recognition

  • Computer Vision

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

PhD 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

Graduated Ph.D. Students

  • Mohammad Arif Ul Alam, Assistant Professor, U Mass Lowell [Thesis: Context-Aware Multi-Inhabitant Functional and Physiological Health Assessment in Smart Home Environment] [Fall 2017] [PDF]

  • H M Sajjad Hossain, Microsoft Research [Thesis: Active Activity Recognition with Context-Aware Annotator Selection] [Spring 2019] [PDF][PPT]

  • MD Abdullah Al Hafiz Khan, Philips Research [Thesis: Cross-Domain Scalable Activity Recognition Models in Smart Environments] [Spring 2019] [PDF][PPT]

  • Nilavra Pathak, Expedia [Thesis:Analysis of Energy Disaggregation for Sustainable Building Applications] [Spring 2019] [PDF][PPT]

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]