Please join faculty and graduate admissions staff at a webinar discussing the Electrical and Computer Engineering departmental program offerings and experiential learning opportunities in the Graduate School of Engineering.
PhD Proposal Review: Unsupervised Machine Learning Approaches to Sequential Data Analysis Cooper Loughlin Location: Remote Abstract: Analysis of sequential data is central to many fields of science and engineering. Often, […]
Please join faculty and graduate admissions staff at a webinar discussing MS Robotics departmental course offerings and experiential learning opportunities in the Graduate School of Engineering.
PhD Proposal Review: Near-infrared Optical Modulation by Hybrid Graphene Metasurfaces Ziqiang Cai Location: Zoom Link Abstract: The field of metasurfaces has emerged as one of the most promising frontiers in […]
PhD Proposal Review: Learning and Shaping the Wireless Environment: An Integrated View of Sensing, Computing and Communication Sara Garcia Sanchez Location: TBA Abstract: The explosive growth in Internet of Things […]
PhD Proposal Review: Learning and Shaping the Wireless Environment: An Integrated View of Sensing, Computing and Communication Sara Garcia Sanchez Location: Microsoft Teams Abstract: The explosive growth in Internet of […]
Please join our Assistant Dean of Co-op at a webinar discussing the Co-op experiential learning opportunities available for graduate students in the departments of Bioengineering, Chemical Engineering, Civil & Environmental […]
PhD Dissertation Defense: Reconfigurable and Intelligent Wireless Charging Surfaces Kai Li Location: 232 ISEC Abstract: Reconfigurable intelligent surfaces (RISs) have received significant attention for theirpotential to transform the environments by […]
PhD Dissertation Defense: Intrabody Communication for Real-Time Monitoring of Implanted Medical Devices based on Piezoelectric Micromachined Ultrasonic Transducers Flavius Pop Location: Zoom Link Abstract: Nowadays when we think about medical […]
PhD Proposal Review: Interpretable Machine Learning for Affective Neuroscience and Psychophysiology Zulqarnain Qayyum Khan Location: Zoom Link Abstract: In this thesis, we leverage Machine Learning to investigate questions of interest […]