Title:Decoupling Efficiency-Performance Optimization for Modern Neural Networks Date: 7/20/2023 Committee Members: Yanzhi Wang (Advisor); Prof. David Kaeli; Prof. Sunil Mittal; Prof. Jennifer Dy Abstract: Deep learning has achieved remarkable success in a variety of modern applications, but this success is often accompanied by inefficiency in terms of storage and inference speed, which can hinder their […]
Title: Real-Time Spectrum Sensing for Inference and Control Committee Members: Prof. Tommaso Melodia (Advisor) Prof. Kaushik Choudhury Prof. Francesco Restuccia Abstract: Through growing cellular innovations, the usage and congestion of the wireless spectrum is increasing at incredible speeds. High demand and limited supply pose a resource issue known as the "spectrum crunch". With the high […]
Title: Leveraging Deep Learning on Multimodal Sensor Data for Wireless Communication: From mmWave Beamforming to Digital Twins Committee Members: Prof. Kaushik Chowdhury (Advisor) Prof. Hanumant Singh Prof. Josep Jornet Dr. Mark Eisen Abstract: With the widespread Internet of Things (IoT) devices, a wide variety of sensors are now present in different environments. For example, self-driving […]
Join our empowering LinkedIn, CV, Resume Workshop any Wednesday from 5 pm to 6 pm ET, starting the 26th July. This collaborative space offers valuable tips and peer feedback to enhance your online profile and professional presence. Whether you're a student or seasoned professional, our community will help you optimize your LinkedIn profile, CV, and […]
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 […]