"Integrated Circuit Design Methods for Temperature-based Hardware Trojan Detection and Parametric Frequency Division in Next-Generation Systems-on-a-Chip" Committee Members: Prof. Marvin Onabajo (Advisor) Prof. Yong-bin Kim Prof. Yunsi Fei Abstract: New needs for next-generation systems-on-a-chip (SoC) are emerging as the trend of globalization in the semiconductor industry becomes increasingly ubiquitous and the demand for low-power Internet-of-Things […]

Committee Members: Prof. Edmund Yeh (Advisor) Prof. Stratis Ioannidis Prof. Lili Su Prof. Carlee Joe-Wong Abstract: Significant advances in edge and mobile computing capabilities enable machine learning to occur at geographically diverse locations in networks, e.g., cloud, edge, and mobile devices. The training data needed in those learning tasks may not be fully generated locally. […]

"AI for communication and sensing in RF environments" Committee Members: Prof. Kaushik Chowdhury (Advisor) Prof. Stratis Ioannidis Prof. Hanumant Singh Abstract: The recent growth of Internet of Things (IoT), as well as other new revolutionary applications utilizing wireless spectrum are leading the way towards the realization of next-generation wireless systems that jointly utilize communications and […]

"Hardware Security Vulnerabilities in Deep Neural Networks and Mitigations" Committee Members: Prof. Yunsi Fei (Advisor) Prof. Xue Lin Prof. Xiaolin Xu Abstract: Over the past decade, Deep Neural Networks (DNNs) have revolutionized numerous fields. With the increasing deployment of DNN models in security-sensitive and mission-critical applications, such as autonomous driving, ensuring the security and privacy […]

"Unveiling the Power of Transfer Learning in Data-Driven AI" Committee Members: Prof. Raymond Fu (Advisor) Prof. Octavia Camps Prof. Huaizu Jiang Abstract: The big data stands as a cornerstone of deep learning, which has significantly improved a wide range of machine learning and computer vision tasks. Despite such a great success, data collection is time-consuming […]

  Dean Gregory D. Abowd will present his SIGCHI Lifetime Research Award Acceptance Lecture Date: Tues., June 13, 2023 Time: 5:30 to 7:15 PM, reception following Dean Abowd’s talk Place: In-Person and Livestream BostonCHI meeting at Northeastern University in ISEC Auditorium (102 ISEC), and reception in ISEC Atrium Registration is appreciated but not required. View […]

Title: Enabling Anomaly Detection in Complex Chemical Mixtures Through Multimodal Data Fusion Date: 6/26/2023 Time: 10:00:00 AM Location: SH 210, Committee Members: Prof. Mueller (Advisor) Prof. Erdogmus Prof. Ioannidis Prof. Onnis-Hayden Abstract: Recently innovations in machine learning and data processing are increasingly tied to ensuring useability and interpretability when these methods are applied within end-user […]

"Unleashing the Potential of Transfer Learning for Visual Applications" Committee Members: Prof. Raymond Fu (Advisor) Prof. Sarah Ostadabbas Prof. Zhiqiang Tao Abstract: The recent flourish of deep learning in various tasks is largely accredited to the rich and accessible labeled data. Nonetheless, massive supervision remains a luxury for many real-world applications. Further, the domain shift […]

"Deep Generative Models for High Dimensional Spatial and Temporal Data Analysis" Committee Members: Prof. Vinay Ingle (Advisor) Dr. Dimitris Manolakis Prof. Purnima Ratilal-Makris Abstract: Data analysis and exploitation in practical applications is challenging when observations are the result of many interacting natural and man-made phenomena. We address two important problems for which traditional methods of […]

Title: Software-Defined Underwater Acoustic Networks Committee Members: Prof. Tommaso Melodia (Advisor) Prof. Stefano Basagni Prof. Kaushik Chowdhury Dr. Emrecan Demirors Abstract: The exploration, monitoring, and understanding of oceans play a crucial role in addressing climate change, overseeing underwater pipelines, and preventing maritime warfare attacks. To achieve these significant objectives, it is vital to utilize networks […]