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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, […]
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 […]
"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: […]