Shijie Yan PhD Proposal Review

Name: Shijie Yan Title: Efficient Monte Carlo light transport algorithms in complex scattering media Date: 7/29/2024 Time: 12:00:00 PM Committee Members: Prof. Qianqian Fang (Advisor) Prof. Steven Jacques Prof. David Kaeli Prof. Edwin Marengo Abstract: Modeling light-tissue interactions is crucial for many optical imaging modalities, for which the Monte Carlo (MC) method has been widely […]

Yunus Bicer PhD Dissertation Defense

Name: Yunus Bicer Title: Novel Methods for Electromyographic Hand Gesture Recognition: Expressive Gestures Sets with Minimal Calibration Date: 7/29/2024 Time: 3:00:00 PM Location: ISEC 632 - Committee Members: Prof. Deniz Erdogmus (Advisor) Prof. Mathew Yarossi (Co-Advisor) Prof. Eugene Tunik Prof. Tales Imbiriba Abstract: Gesture recognition, the process of interpreting hand gestures through computational algorithms and devices, is […]

Kyle Lockwood PhD Dissertation Defense

Name: Kyle Lockwood Title: Leveraging Submovements for Prediction and Trajectory Planning in  Human-Robot Handover Date: 7/30/2024 Time: 1:30:00 PM Location: ISEC 532 - Committee Members: Prof. Deniz Erdogmus (Advisor) Prof. Eugene Tunik (Co-Advisor) Prof. Mathew Yarossi Prof. Tales Imbiriba Abstract: Collaborative physical interactions between humans and robots pose difficult modeling challenges. To create natural interactions, […]

Joshua Groen PhD Proposal Review

Name: Joshua Groen Title: Optimizing and Securing Open RAN with Experimental System Validation Date: 8/5/2024 Time: 2:00:00 PM Location: ISEC232; Committee Members: Prof. Kaushik Chowdhury (Advisor) Prof. Stratis Ioannidis Prof Engin Kirda Dr. Christopher Morrell Abstract: 5G and beyond cellular networks promise remarkable advancements in bandwidth, latency, and connectivity, with the emergence of Open Radio […]

Malith Jayaweera PhD Dissertation Defense

Name: Malith Jayaweera Title: Energy-Aware Transformations for Affine Programs on GPUs Date: 8/6/2024 Time: 10:00:00 AM Committee Members: Prof. David Kaeli (Co-advisor) Prof. Yanzhi Wang (Co-advisor) Dr. Norman Rubin Prof. Martin Kong (Ohio State University) Abstract: Graphics Processing Units (GPUs) have been increasingly used to accelerate workloads ranging from high performance computing to machine learning. […]

Kubra Alemdar PhD Dissertation Defense

Name: Kubra Alemdar Title: Overcoming and Engineering Wireless Signals for Communication and  Computation Date: 8/7/2024 Time: 11:00:00 AM Committee Members: Prof. Kaushik Chowdhury (Advisor) Prof. Josep Jornet Prof. Marvin Onabajo Abstract: The phenomenal growth of connected devices, especially rapid expansion of IoT networks and the increasing demand for wireless services are the main driving forces […]

Cobra Alemdar PhD Dissertation Defense

Name: Kubra Alemdar Title: Overcoming and Engineering Wireless Signals for Communication and  Computation Date: 8/7/2024 Time: 11:00:00 AM Committee Members: Prof. Kaushik Chowdhury (Advisor) Prof. Josep Jornet Prof. Marvin Onabajo Abstract: The phenomenal growth of connected devices, especially rapid expansion of IoT networks and the increasing demand for wireless services are the main driving forces […]

Peiyan Dong PhD Dissertation Defense

Name: Peiyan Dong Title: Software-Hardware Co-Design: Towards Ultimate Efficiency in Deep Learning Acceleration Date: 8/8/2024 Time: 3:00:00 PM Committee Members: Prof. Yanzhi Wang (Advisor) Prof. David R. Kaeli Prof. Devesh Tiwari Prof. Cheng Tan Abstract: As AI techniques continue to advance, the efficient deployment of deep neural networks on resource-constrained devices becomes increasingly appealing yet […]

Yifan Gong PhD Dissertation Defense

Name: Yifan Gong Title: Towards Energy-Efficient Deep Learning for Sustainable AI Date: 8/9/2024 Time: 11:00:00 AM Committee Members: Prof. Yanzhi Wang (Advisor) Prof. David R. Kaeli Prof. Xue Lin Prof.  Huaizu Jiang Prof. Stratis Ioannidis Abstract: The rapid advancements in deep learning (DL) and artificial intelligence (AI) have led to transformative applications across various domains, such […]

Gözde Özcan PhD Dissertation Defense

Name: Gözde Özcan Title: Learning and Optimizing Set Functions Date: 8/12/2024 Time: 10:00:00 AM Location: EXP 601 Committee Members: Prof. Stratis Ioannidis (Advisor) Prof. Jennifer Dy Prof. Evimaria Terzi Abstract: Learning and optimizing set functions play a crucial role in the artificial intelligence research as various problems of interest can be characterized with set inputs and/or outputs. […]