Dissertation Defense

Name: Optimizing Spare Linear Algebra on Reconfigurable Architecture
Start: 2021-08-10T14:00:00-04:00
End: 2021-08-10T16:00:00-04:00
Location: Remote/Virtual

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Dissertation Defense

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Efficient, Reconfigurable, and QoS-Aware Systems for Deep Neural Networks

Compiler Support for Robust and High Performance Autonomous Driving Environments

Securing Connected and Automated Vehicle through Proactive Vulnerability Analysis and Security Enhancement

In-SRAM Computing for Neural Network Acceleration

Optical Refrigeration of Crystals Doped with Yb3+ and Ti3+ Ions

Fast Algorithms for Long-Range Wave Propagation over Complex Terrain

Common-Aperture Dual-Polarized Transceiver Antenna Systems for Millimeter-Wave Polarimetric Radar

Safe End-to-end Learning-based Robot Autonomy via Integrated Perception, Planning, and Control

Automating the Verification of Distributed Systems

Phenomenological Study of Radar Scattering at High Millimeter-Wave Frequencies in Support of Autonomous Vehicles

Bringing Practical Security to Vehicles

Correct-by-Construction Control Adaptation against Sensing, Model, and Information Uncertainty

A Cognitive Architecture Realization of Event Cognition Capabilities

Energy Efficient Integrated Circuits and Systems for Communication and Sensing: RF to Optical

Efficient utilization of heterogeneous compute and memory systems

Magnetic Resonance Imaging: Myelin Water Imaging and Model-Based Image Reconstruction

Towards Human Action Understanding in Social Media Videos using Multimodal Models

Engineering Excitonic Properties in van der Waals Solids Using Strain

Classification via Multiple Hyperplanes: Loss functions, Overparametrization, and Interpolation

Adaptive Regularization for Inverse Problems in Imaging

Sample-Efficient Algorithms for Hard-Exploration Problems in Reinforcement Learning

Learning General and Correct Procedural Knowledge in a Cognitive Architecture

Integrating visualization grammars with the task language of data analysts

Toward Practical Application-Aware Big Data Systems

Modeling Trading Strategies in Financial Markets with Data, Simulation, and Deep Reinforcement Learning

Advances in Deep Reinforcement Learning: Intrinsic Rewards, Temporal Credit Assignment, State Representations, and Value-equivalent Models

Spatially-Discrete Traveling-Wave Modulated Electromagnetic Structures

Ga2O3-Based Devices for High Power Switching Applications

Improving Application Connectivity with Network-conscious Systems

How Students and Algorithms Learn to Filter: Investigating Students’ Understanding of Signal Processing Concepts and Bilevel Methods for Learning Filters for Image Reconstruction

Assessment of Privacy Risks in Mobile and Web Applications

Application-Aware Scheduling in Deep Learning Software Stacks

Control, Modeling, and Design Towards Higher Performance Energy Systems

Cylindrical Vector Beam Generation Using Spatially-Dispersive, Mode-Converting Metasurfaces

Design of High-Performance Antennas and Novel Electromagnetic Radiation Measurement Techniques for Biological Cells

Dynamic Connectivity, Hopsets, and Byzantine Agreement

Advancing Digital Safety for High-Risk Communities

Novel Models for High-Dimensional Imaging: High-Resolution fMRI Acceleration and Quantification

Scalable Architectures for High Frequency and Very High Frequency Wireless Power Transfer

The Value Equivalence Principle for Model-Based Reinforcement Learning

Analog Coding: Theory and Applications

High Resolution ADCs for Acoustic Processing and Other Applications

Context-Aware Detection and Resolution of Data Anomalies for Semi-Autonomous Cyber-Physical Systems

On Addressing the Problem of Discovery for Reinforcement Learning

Augmenting Structure with Text for Improved Graph Learning

Neural Network Implementations on Analog In-Memory-Computing Fabric

Design and Applications of Super-Continuum Lasers and Time-of-Flight Camera in Spectroscopy and Healthcare

Constructing Meaning, Piece by Piece: A Computational Cognitive Model of Human Sentence Comprehension

Towards Free, Open, and Ubiquitous Hardware Design

Incorporating Expert Interpretation and Reasoning to Guide Model Selection in Machine Learning

In-Memory Acceleration for General Data Parallel Applications

Towards Improving Deep Vision and Language Navigation

Improving Mobile Internet Performance with Cross-Device Network Transport and Cross-Layer Application Adaptation

Domain-Specific Hardware/Architecture for Emerging Applications

Circuit-based Modeling and Inverse Design of Metastructures

Analog In-Memory Computing on Non-Volatile Crossbar Arrays

Thin-Film III-V Devices for Low-Cost Detection and Energy Conversion

Provably Efficient Reinforcement Learning under Linear Model Structures: From Tabular to Feature based Exploration

Investigation of Dielectric Reliability with β–Gallium Oxide for Future Power Devices

Graph Summarization Meets Representation Learning for Scalable Feature Summarization: Methods & Applications

Adaptive Acoustic Beamforming and Speech Processing Front-end

Advancements of micro gas chromatographs and their core components

SOI Through-Wafer Monolithic Knudsen Pumps for Microscale Gas Chromatographs

Spectral and Temporal Control of Broadband Pulses to Enable Multi-TW peak power coherently-combined fiber laser arrays

Accelerated Systems for Pattern Matching

Analog and Digital Assist Techniques to Improve Mixed-Signal Performances for Edge Devices and Microsystems

From Finite to Infinite: Scalable Automatic Verification of Hardware Designs and Distributed Protocols

Efficient Methods for Optimizing Decentralized Multi-Agent Systems

Strategic Signaling under Higher-order Inference

Memory and System Aware Architectures for Real-Time Machine Learning

Surface and Volume Scattering Model in Microwave Remote Sensing of Snow and Soil Moisture

Compiler Auto-tuning For Code Optimization

Data-Centric Execution Inspection

Games in Multi-Agent Dynamic Systems: Decision-Making with Compressed Information

Dynamic Control of Waves with Reconfigurable, Time and Space-Time Modulated Metasurfaces

Modeling and Parameter Identification for Condition Monitoring of Permanent Magnet Synchronous Machine Drive Systems

Advances in Feedback Control for High-dimensional Bipedal Models

Optimizing Spare Linear Algebra on Reconfigurable Architecture