"Legged Walking on Inclined Surfaces" Committee Members: Prof. Alireza Ramezani(Advisor) Prof. Miriam Leeser Prof. Bahram Shafai Abstract: The main contributions of this MS Thesis are centered around taking steps towards successful multi-modal demonstrations using Northeastern's legged-aerial robot, Husky Carbon. This work discusses the challenges involved in achieving multi-modal locomotion such as trotting-hovering and thruster-assisted incline […]
"Acoustically Actuated Magnetoelectric Antennas for VLF Communication and Magnetic Sensing" Committee Members: Prof. Nian Sun (Advisor) Prof. Yongmin Liu Prof. Hossein Mosallaei Abstract: Since the discovery of strong magnetoelectric (ME) coupling in two-phase ME laminate composites, strain-mediated ME heterostructures have attracted a great deal of attention from academic and industrial research groups for their potential […]
"Human control of objects with nonlinear internal dynamics: Predictability as primary objective" Location: Egan Research Ctr 206 Committee Members: Prof. Dagmar Sternad (Advisor) Prof. Eduardo Sontag Prof. Mario Sznaier Dr. David Lin (Massachusetts General Hospital & Harvard Medical School) Abstract: Humans physically interact with complex objects in numerous daily activities. An example is picking up a […]
"Sputter Deposition and Characterization of Highly Textured BixTe1-x Thin Films" Committee Members: Prof. Nian-Xiang Sun (Advisor) Prof. Marvin Onabajo Prof. Yongmin Liu Abstract: The discovery of topological insulators (TIs) provides a direction for scientists to understand the Quantum Spin Hall Effect (QSHE) and Spin-Orbit Coupling (SOP) in condensed matter physics. After a decade, people found […]
"Cross-View Action Recognition using Transformers" Committee Members: 1. Prof. Octavia Camps (Advisor) 2. Prof. Mario Sznaier 3. Prof. Huaizu Jiang Abstract: Cross-view action recognition (CVAR) seeks to recognize a human action when observed from a previously unseen viewpoint. This is a challenging problem since the appearance of action changes significantly with the viewpoint. Applications of […]
"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 […]