- Shuvo Kumar Paul (Ph.D. 2024,
"Enhancing Human-Robot Collaboration through a Multi-Module Interaction Framework with Sensor Fusion: Object Recognition, Verbal Communication, User(s) of Interest Detection, Gesture and Gaze Recognition", then Development Engineer at Gentex Corporation)
- Md. Abu Sayed (M.S. 2023,
"Threatmap: A Heatmap Framework for Enhancing Security Awareness and Decision-Making for Naval Agents", co-advised with Monica Nicolescu)
- Mayamin Hamid Raha (M.S. 2023,
"Maritime Dynamic Resource Allocation and Risk Minimization using Visual Analytics and Elitist Multi-Objective Optimization", co-advised with Monica Nicolescu)
- Seyed Pourya Hoseini Alinodehi (Ph.D. 2020,
"A Single-Shot Next Best View Approach Accompanied by a Dual-View Active Vision for Object Recognition Tasks", then Postdoctoral Fellow at the University of California, San Diego)
- Shuvo Kumar Paul (M.S. 2020,
"A Single-Shot Next Best View Approach Accompanied by a Dual-View Active Vision for Object Recognition Tasks")
- Seyed Pourya Hoseini Alinodehi (M.S. 2017,
"Active Vision for Object Recognition by Dynamically Fusing Eye-in-Hand Data")
- Banafsheh Rekabdar (Ph.D. 2017,
"Learning, Recognizing and Early Classification of Spatio-Temporal Patterns using Spike Timing Neural Networks",
co-advised with Monica Nicolescu, then Assistant Professor at Southern Illinois University)
- David LeBlanc (M.S. 2017,
"Automated Detection of Dune Crest-lines in Planetary Satellite Images", co-advised with George Bebis)
- Alexander Gamino (M.S. 2016,
"HMM-Based Techniques for Intent Recognition in a Simulated Realistic Naval Environment")
- Luke Fraser (M.S. 2016,
"Hierarchical Control Architecture for Robust and Adaptive Robot Control", co-advised with Monica Nicolescu)
- Mohammad Taghi Saffar (M.S. 2015,
"Intent Recognition Using an Activation Spreading Architecture")
- Banafsheh Rekabdar (M.S. 2015,
"An Unsupervised Spike Timing Method for Learning Spatio-temporal Patterns", co-advised with Monica Nicolescu)
- Daniel Farmer (M.S. 2015,
"Retinal Vessel Segmentation using Tensor Voting", co-advised with George Bebis)
- Jin Jiang (M.S. 2014,
"Robust Event Detection and Retrieval in Surveillance Video")
- Khoa Tran (M.S. 2014,
"Motion Segmentation in a Dynamic Scene based on Parametric Motion Modeling using Generalized Principal Component Analysis")
- Christopher King (Ph.D. 2013,
"Efficient Object Detection and Tracking Using a Novel MSER-Based Approach")
- Richard Kelley (Ph.D. 2013,
"Models of Intention for Human-Robot Interaction",
co-advised with Monica Nicolescu, then Research Assistant Professor at University of Nevada, Reno)
- Abbas Roayaei Ardakany (M.S. 2013,
"An Extended Local Binary Pattern for Gender Classification")
- Amol Ambardekar (Ph.D. 2012,
"Vehicle Classification Framework: Online Classification with Tracking",
then Research Software Development Engineer at Microsoft)
- Aras Dargazany (M.S. 2011,
"Human Body Parts Tracking: Applications to Activity Recognition")
- Alireza Tavakkoli (Ph.D. 2009,
"A Non-Parametric Framework for Object Tracking in Videos with Quasi-Stationary Backgrounds",
then Assistant Professor at University of Houston-Victoria)
- Richard Kelley (M.S. 2009,
"Mind Reading for Social Robots: Stochastic Models of Intent Recognition",
co-advised with Monica Nicolescu)
- Pradeep Katta (M.S. 2008,
"Integrating Depth and Intensity Information for Vision-Based Head Tracking")
- Christopher King (M.S. 2007,
"Vision and Laser-Based Perception for Real-Time Autonomous Robotic Applications")
- Amol Ambardekar (M.S. 2007,
"Efficient Vehicle Tracking and Classification for an Automated Traffic Surveillance System")
- Chang Jia (M.S. 2007,
"Object Tracking Using an Enhanced Adaptive Background CAMSHIFT Algorithm")
- Alireza Tavakkoli (M.S. 2006,
"Segmentation for Videos with Quasi-Stationary Backgrounds - A Non-Parametric Approach")
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