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 […]
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 […]
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. […]
Name: Yufei Feng Title: Beam Management in Operational 5G mmWave Networks Date: 8/13/2024 Time: 2:00:00 PM Committee Members: Prof. Dimitrios Koutsonikolas (Advisor) Prof. Josep Jornet Prof. Mallesham Dasari Abstract: Due to the directional nature of mmWave signal propagation, beam management plays a critical role in the performance of 5G mmWave deployments. However, the details of beam management […]
Name: Yanyu Li Title: Accelerating Large Scale Generative AI: a Comprehensive Study Date: 8/16/2024 Time: 11:00:00 AM Committee Members: Prof. Yanzhi Wang (Advisor) Prof. David Kaeli Prof. Kaushik Chowdhury Abstract: We have witnessed the great success of deep learning in various domains, such as the emerging large language models (LLMs) and Artificial General Intelligence (AGI), […]
Name: Shuo Jiang Title: Tactile Intelligence in Robotics Date: 8/16/2024 Time: 2:00:00 PM Location: EXP-701A Committee Members: Prof. Lawson Wong (Advisor) Prof. Robert Platt Prof. Alireza Ramezani Prof. Taskin Padir Abstract: In recent years, the evolution of robot electronic skin technology has introduced a novel avenue for robots to perceive their external environment and internal […]
Name: Yuexi Zhang Title: Human Action and Event Detection by Leveraging Multi-modality Techniques Date: 8/19/2024 Time: 10:00:00 AM Committee Members: Prof. Octavia Camps (Advisor) Prof. Mario Sznaier Prof. Sarah Ostadabbas Abstract: Human Action and Event Analysis with multi-modalities has emerged as a critical area of research in computer vision and machine learning, driven by the […]
Name: Zohreh Azizi Title: Exploring SIM for monomer orientation Date: 8/22/2024 Time: 1:00:00 PM Location: https://northeastern.zoom.us/j/7318775019 Meeting ID: 731 877 5019 Committee Members: 1. Prof. Charles DiMarzio (Advisor) 2. Prof. Carey Rappaport 3. Dr. Sangyeon (Fred) Cho Abstract: Collagen fibrils, the most abundant protein polymers in animals, protect cells from mechanical forces such as stress, […]
Name: Yuhui Bao Title: A Design Methodology for Producing Highly-Adaptable and High-Performance Simulation Frameworks Date: 9/3/2024 Time: 10:00:00 AM Committee Members: Prof. David Kaeli (Advisor) Prof. Ningfang Mi Prof. Yifan Sun (William and Mary) Abstract: Computer architecture simulators play an essential role in the development and optimization of computer hardware. A variety of simulators have […]
Name: Rajiv Singh Title: Interpolation and Convexification Methods for Tractable Learning of Dynamic Systems Date: 9/9/2024 Time: 9:00:00 AM Location: https://northeastern.zoom.us/j/97729968899?pwd=WfExrC0k60ocNpzCrkJXK3HyJDptMK.1 Committee Members: Prof. Mario Sznaier (Advisor) Prof. Lennart Ljung Prof. Octavia Camps, Prof. Stratis Ioannidis Abstract: In this thesis, we present interpolation and convexification based system identification techniques that are geared towards producing, practical, […]