ECE Seminar: Reinforcement Learning Perspective to Data-Driven and Model-Based Experimental Design Mahdi Imani Location: Zoom Link Abstract: Design and decision-making are pervasive in most practical systems including smart grids, transportation, manufacturing, healthcare, and smart homes. Accurate system modeling is difficult in most systems/processes due to the complicated system dynamics, multi-physics and multiple time scales involved […]
PhD Dissertation Defense: Leveraging Structural Properties for Large-Scale Optimization Armin Moharrer Location: Zoom Link Abstract: Large scale optimization problems abound in data mining, machine learning, and system design. We address the challenges posed by such large scale optimization problems by providing efficient optimization algorithms. The scope of studied problems is quite broad; it includes applications […]
PhD Dissertation Defense: RF Magnetoelectric Devices for Communication, Sensing, and Power Electronics Neville Sun Location: Zoom Link Abstract: A strong magnetoelectric (ME) coupling of layered magnetic/ferroelectric heterostructures can effectively convert energy between electric and magnetic fields. By utilizing strain mediated ME coupling, it is possible to use an electric field to control magnetic film properties, […]
PhD Proposal Review: Improving Human Robot Interaction through Extended Reality Technologies Murphy Wonsick Location: Teams Link Abstract: Recent advancements in robotics have allowed robots to become capable enough to be used in a wide variety of domains, such as manufacturing, search-and-rescue, and space exploration. However, human-robot interaction with these systems are still primarily achieved using […]
MS Thesis Defense: Design and Characterization of Flexible Neural Interface Connector for Large-scale Neuronal Recording Shanchuan Liang Location: Zoom Link Abstract: With the increasing demand of the electrically active implantable devices for studying neuroscience, microelectrode arrays (MEAs) have been widely developed to measure extracellular neuronal activity. Multiple channels MEAs with electrodes embedded are designed to […]
PhD Dissertation Defense: Robust Visual Learning with Limited Labels Kai Li Location: Zoom Link Abstract: The recent flourish of deep learning in various tasks is largely credited to the rich and accessible labeled data. Nonetheless, massive supervision remains a luxury for many real-world applications: It is costly and time-consuming to collect and annotate a large […]
MS Thesis Defense: Real-Time Grasp Type Estimation for a Robotic Prosthetic Hand Mehrshad Zandigohar Location: Zoom Link Abstract: For lower arm amputees, prosthetic hands promise to restore most of physical interaction capabilities. This requires to accurately predict hand gestures capable of grabbing varying objects and execute them timely as intended by the user. Current approaches […]
PhD Dissertation Defense: Improving the Resilience of the Power Grid Ahmet Oner Location: Teams Meeting Abstract: The power grid constitutes one of the most critical infrastructures that have significant interdependencies with various others such as communication, transportation, emergency, and health-care delivery systems. A disruption in the operation of the power grid may affect the operation […]
MS Thesis Defense: Rough-Terrain Locomotion and Unilateral Contact Force Regulations With a Multi-Modal Legged Robot Kaier Liang Location: Zoom Link Abstract: The study for legged locomotion has made lots of achievements. However, the stability of the state-of-the-art bipedal robots are still vulnerable to external perturbation, cannot negotiate extreme rough terrains, and cannot directly regulate unilateral […]
PhD Dissertation Defense: Spectral Ranking Regression Ilkay Yildiz Location: Zoom Link Abstract: We consider learning from ranking labels generated as follows: given a query set of samples in a dataset, a labeler ranks the samples w.r.t.~her preference. Such ranking labels scale exponentially with query set size; most importantly, in practice, they often exhibit lower variance […]