Title: Towards Efficient Deep Learning in Computer Vision via Sparsity and Distillation Committee Members: Prof. Yun Fu (Advisor) Prof. Octavia Camps Prof. Zhiqiang Tao Abstract: AI, empowered by deep learning, has been profoundly transforming the world. However, the excessive size of these models remains a central obstacle that limits their broader utility. Modern neural networks […]
Learn how you can earn a Graduate Certificate in Engineering Leadership as a stand-alone certificate or in combination with one of twenty-three Master of Science degrees offered through Northeastern’s College of Engineering, College of Science, or Khoury College of Computer Sciences. The National Academy of Engineering recognized The Gordon Institute of Engineering Leadership (GIEL) for […]
"Synthetic Data Generator: Understanding Human Face & Body via Image Synthesis" Committee Members: Prof. Yun Fu (Advisor) Prof. Sarah Ostadabbas Prof. Ming Shao Abstract: The community has long enjoyed the benefits of synthesizing data, as it provides a reliable and controllable source for training machine learning models while reducing the need for data collection from […]
Title: Securing FPGA as a Shared Cloud-Computing Resource: Threats and Mitigations Committee Members: Prof. Xiaolin Xu (Advisor) Prof. Yunsi Fei Prof. Xue Lin Abstract: With the widespread adoption of cloud computing, the demand for programmable hardware acceleration devices, such as field-programmable gate arrays (FPGA), has increased. These devices benefit the growth of efficient hardware accelerators, […]
Title: Advances in Modelling, Control, and Perception for Soft Robotics and Autonomous Vehicle Systems Location on Campus: Snell Room Committee Members: Advisor: Prof. Milad Siami Prof. Bahram Shafai Prof. Rozhin Hajian - University of Massachusetts, Lowell Abstract: In this research project, we investigate the distributed consensus and vehicle platoons control problem. We first investigate the performance […]
Title: Deep Learning for the Physical Layer: From Signal Classification to Decoding Location: ISEC 532 Committee Members: Prof. Kaushik Chowdhury (Advisor) Prof. Stratis Ioannidis Prof. Robert Nowak Abstract: The growth in wireless spectrum usage has created new physical layer applications and intensified the importance of the existing ones. Physical layer applications ranging from device authentication […]
Title: Sub-modularity in Cache Networks Committee Members: Prof. Stratis Ioannidis Prof. Lili Su Prof. Edmund Yeh Abstract: As information-based demand surges, distributed network services, e.g., cache networks, play an important role to mitigate network traffic. Cache networks are a natural abstraction for many applications, including information-centric networks, content delivery networks, cloud computing, and edge/wireless IoT. […]
Location: ISEC305 Title: Low-latency forwarding, caching and computation placement in data-centric networks Committee Members: Prof. Edmund Yeh (Advisor) Prof. Stratis Ioannidis Prof. Kaushik Chowdhury Abstract: With the exponential growth of data- and computation-intensive network applications, such as real-time augmented reality/virtual reality rendering and large-scale language model training, traditional cloud computing frameworks exhibit inherent limitations. These […]
Title: Exploring Log of RGB Space as a Better Input for Computer Vision Tasks Committee Members: Prof. Bruce Maxwell (Advisor) Prof. Hanumant Singh Prof. David Rosen Prof. Mahdi Imani Abstract: There are specific, physics-based rules that govern the interaction of light and matter. Though studied extensively in the greater computer vision community, these rules are […]
Title: Low Contrast Visual Sensing and Inertial Navigation in GPS Denied Environments Committee Members: Prof. Hanumant Singh Prof. Martin Ludvigsen Prof. Pau Closas Prof. Michael Everrett Abstract: Visual inertial navigation has shown remarkable performance in publicly available datasets, assuming certain ideal conditions such as textured scenes, uniform illumination, and static environments. However, real-world scenarios often […]