Faculty Candidate Seminars

Towards Practical Superconducting Computing with Technology-Driven Optimizations

Power Electronics Hardware Accelerating Grid Technology Evolution and Deployment

Towards Provably Safe and Secure Systems with Contract-Based Design

Unleashing the Power of Ubiquitous IoT Sensors for Ambient Intelligence

Building the Infinite Brain

White-Box Computational Imaging: Measurements to Images to Insights

From Systemic to Regional: Personal Health and Medical Monitoring Systems that Adapt to Individual Variance

Generative AI for 3D Content

Scaling Deep Learning Up and Down

Information theory for sequential decision-making

Toward Practical Quantum Computing Systems with Intelligent Cross-Stack Co-Design

Sequential nonparametric inference by betting

Codes, nearest neighbors, and learning: From communication to computation

Future Energy Storage System: A Bridge between Transportation and Power Systems

Structured Control and Learning for Sustainable Energy Systems

Foundations for Efficient Information Usage: Inference, Storage, Networks

Multidimensional Power Devices in (Ultra-)Wide-Bandgap Semiconductors

Cyber-Physical Protection of Multi-Terminal DC Grids

Toward Energy-efficient Electronics from Ultrawide-Bandgap Semiconductors: Materials, Devices, and Application

Engineering Ultrawide Bandgap Semiconductors at the Atomic Scale

Feedback Design Principles for Efficient and Reliable Robot Learning

Optimization and Learning in Energy Systems: Privacy and Performance

Perceiving Humans in 4D

Integrated Bioelectronic Systems for Neuroscience and Healthcare: Materials, Electronics, and Computing

Optimal Feedback Control Architecture for Power Systems with High Penetration of Renewables

Control of renewable-energy-dominated power systems

Learning to Re-create Reality in 3D

The foundations of machine learning for feedback control

Building a quantum internet with photons and electron spins

Next generation technologies for quantum computing and sensing

Control Theory for Biological and Cyberphysical Systems

Theoretical Foundations and Design Methodologies for Cyber-Neural Systems: a Case Study in Epilepsy

Learning to Generate Data by Estimating Gradients of the Data Distribution

Towards Scalable Representation Learning for Visual Recognition

Advancing Quantum Science with Ytterbium Atom Arrays

Emerging Optics from Structured Nanomaterials

AI-powered Computational Imaging and Processing for Advancing Visualization and Perception in Biomedical Applications

Theoretical Foundations of Pre-trained Models

Learning to See the 3D world

Steps towards making machine learning more natural

Physics-Based Visual Computing for Efficient 3D Vision and Sensing

Artificial Intelligence for Geometry Processing

Fair and Reliable Machine Learning for High-Stakes Applications: Approaches Using Information Theory

Developing and Deploying Gallium Nitride Magnetometers for Harsh Environments

Leveraging Dataset Structure for Neural Network Prediction

Reliable Machine Learning in Feedback Systems

Understanding Human-Centric Sides of Deep AI Models

Cross-Layering in Future Wireless Networks: From Compact Full-duplex Radios to City-Scale Experimentation

Small-Data Learning in Big Cyber Physical Systems

Large-Scale Optimization and Nonconvexity: From Deep Learning to Energy Markets

Learning from Societal Data: Theory and Practice

Canceled: Scalability and Methods of Deep Learning from an Optimization Viewpoint

Towards Scalable Algorithms for Distributed Optimization and Learning

Learning Low-complexity Models from the Data – Geometry, Optimization, and Applications

Sight and Sound

Information Theoretic Limits in Learning: Applications to Privacy and Security

Delay, memory, and messaging tradeoffs in distributed service systems

Modelling and Analysis of Brain Network Dynamics via Systems and Control Theory

System Architecture Directions for Post-SoC/32-bit Networked Sensors

Indoor Human Information Acquisition from Physical Vibrations

Deep Learning for Medical Imaging: Mapping Sensor Data to Decisions

Learn Policy Optimally via Efficiently Utilizing Data

Rethinking the role of optimization in learning

Seeing the Unseen: Data-Driven 3D Scene Understanding for Robot Vision

Sequential Learning, Optimization and Control for Cyber-Physical Systems

Exploiting Geometry for High-Resolution Source Localization

Decision Making Under Uncertainty in Networks of Strategic Agents

Efficient scalable algorithms for adaptive data collection

Tackling the size and complexity of large-scale neural datasets

Integrated Magnetics and Multiferroics for Compact and Power Efficient Sensing, Power, RF, Microwave and mm-Wave Electronics

Towards a Theory of Safe and Interactive Autonomy

Growth, Characterization and the Impact of Wide-Bandgap Materials on Electronic Devices

Next-Generation Computing using Spin-Based and 2D Materials

Diversity and Resilience in Robot Networks

From hummingbirds to honeybees: algorithms for agile micro aerial vehicles with on-board perception

Optimization for Control and Planning of Multi-contact Dynamic Motion

Stochastic and Information-theoretic Approaches to Analysis of Biological Data

Toward General-Purpose Manipulation of Deformable Objects

From Communication to Sensing and Learning: An Information Theoretic Perspective

Processing Information with Small Quantum Devices

Communication and Coding over Networks: New Challenges

Expedition toward the Energy-Optimized Internet-of-Everything

On the Origin of Microsystems: The Symbiosis of Electronics and Photonics

Transforming Nanodevices to Nanosystems

Fast Randomized Algorithms for Convex Optimization

The Power of Nonconvex Paradigms for High-Dimensional Estimation

Community Detection in Networks: Algorithms, Complexity, and Information Limits

Control of agile robots in complex environments with formal safety guarantees

Scalable probabilistic inference for high dimensional structured variables

Sensor, Brain and the Interface

Spread-Spectrum Wireless Power Transfer for Implantable and Wearable Biomedical Applications

Opto-Excitonic Circuits: Processing Light with Matter

Learning statistical structure in data: efficient estimation of graphical models

Metamaterials with Spatiotemporal Modulation and Parity-Time Symmetry for Advanced Wave Manipulation

Unlocking Cellular Computation and Information Processing through Multidimensional Single-Cell Data

From Meta to Meso: Science and Applications of Metamaterials-Inspired Nanophotonics

Congestion-Aware Traffic Routing for Large-Scale Multi-Agent Systems

Scaling Software and Hardware for Thousand-Core Systmes

Variational Bayesian Methods for Unsupervised Latent Factor Models of Text and Audio

Very Fast Approximation Algorithms for Big Graphs

Dc-dc Power Conversion at Very High Frequencies

Semantic Image Understanding: From the Web, In Large-Scale, and With Real-World Data

From neuromechanics to synthesising robots on-the-fly

Mechanisms for Usable Multicores

Next Generation Power Electronics

Complex Large-Scale Systems: From Antenna Circuits to Electricity Grids

Toward Visual Learning with Minimal Human Supervision

High-Performance Asynchronous Systems: Analysis, Optimization, and Applications

Extracting and Querying Probabilistic Information in BayesStore

Emotions in Engineering: Methods for the Interpretation of Ambiguous Emotional Content

Nanoelectronics for Brain Inspired Computing and Implantable Neurodevices

Sensing and Feedback of Everyday Activities to Promote Environmentally Sustainable Behaviors

Ryan Williams, CSE Faculty Candidate

Emotions in Engineering: Methods for the Interpretation of Ambiguous Emotional Content

Virginia Vassilevska Williams, CSE Faculty Candidate

New Technology Transfusion for Renewable Energy Conversion

Wind Energy Conversion Systems as Active Filters: Steady-State and Transient Analysis

CSE Fac Candidate, Feng Liu

CSE Fac Candidate, Jingrui He

CSE Fac Candidate, Honglak Lee

Developing Efficient and Reliable Induction Motor Drives

CSE Fac Candidate, Alexandru Niculescu-Mizil

Optimal Design and Control of Electromechanical Energy Converters via Field Reconstruction Method

CSE Fac Candidate, Eftychios Sifakis

POWER ELECTRONIC CONVERTERS IN POWER SYSTEMS

Learning from Collective Preferences, Behavior, and Beliefs

Electromechanical Energy Conversion – The Dawn of a New Era?

Making Software Robust in Deployed Systems

Computational Prototyping of Power Electronics and Energy Conversion Systems

Compressed Sensing to the Limits: Bounds, Algorithms, and Wireless Applications

Mathematical Techniques for Program Analysis

Leveraging Code Comments to Improve Software Reliability

Manycore Vector-Thread Architectures

Tracking and Reducing Energy Usage in Networked Embedded Systems

Scalable Metric Learning and Fast Similarity Search

High-Throughput Message-Passing Decoder Design for Improved Low Error Rate Performance

Metrics in the Space of Shapes for Optimization and Dynamics

Extracting and Managing Structured Web Data

Problems and algorithms for sequence analysis

Statistical Signal Processing and Random Matrix Theory

Implanting a Fluorescence Microscope: How VLSI Can Change Biomedical Research

Optical Tomography

The Smart Electric Grid and Its Role in the Energy Future

Mobile Music Making between Realtime Sound Synthesis and Mobile HCI

Seeing at a Glance: Psychophysical and fMRI Studies on Rapid Natural Scene Perception

Telling the Story of an Image

Secure Web Applications and Expressive Security Policies

Robust and Efficient Robotic Mapping

Catch me if you can – BioMems Devices to Capture and analyze rare circulating tumor cells for cancer Diagnostics

Encapsulated Micromachined Silver Devices for RF MEMS

Security through the Lens of Failure

A Theory of Similarity Functions for Learning and Clustering

Small and Fast: Terahertz Ballistic Electron Resonance in a Single-walled Carbon Nanotube

ECE Faculty Candidate Seminar

Charge transport through nanostructure

Carbon Nanotube Electronics: Modeling, Circuit Implications, and Challenges

Optimizing Sensing from Water to the Web

Towards Nanoscale Gallium Nitride Electronics

Inferring What's Out There: Probabilistic Reasoning about Unknown Objects

An Informative-theoretic perspective on multi-modal data processing

Visual Recognition in the Three-Dimensional World

Hybrid modeling and robustness analysis of cell cycle regulatory circuitry

Resonant Micro and Nano Electromechanical Systems

TBA

MICROFLUIDIC CHIPS FOR BIOMEDICAL APPLICATIONS

Integrated MEMS for RF Communicators and Microfluidic Biochip

Behavior-based Malware Detection

Looking Beyond Performance: Processors for Time Travel

Benchmarking of Energetic Electron Beam Transport in Nail and Wire Targets

Anonymization Techniques for Published Data

From Dream to Reality: Generation of Multi-GeV Electrons Using High Intensity, Ultrafast Laser Pulses

Adaptive Predicated Execution

Amplitude and phase noise in nano-scale RF circuits

From Dream to Reality: Generation of Multi-GeV Electrons Using High Intensity, Ultrafast Laser Pulses

Ultrafast structural dynamics observed with atomic scale resolution

Deputy: Dependent Types for Safe Systems Software

Geometric Models for Dimensionality Reduction in Signal and Data Processing

Automating the Assembly of Large-Scale, Component-Based Systems

Multiprocessor Architectures for Programmability

Designs of Sensor Networks and Algorithms for Multi Modal Target Tracking

Designing Appropriate Computing Technologies for the Rural Developing World

Ultrafast structural dynamics observed with atomic scale resolution

Sensing and Modeling People's Activities and Interactions in Everyday Environments

Optical Forces and Slow Light in Nanophotonics

Energy Efficient Circuits and Systems for Impulse Ultra-Wideband Communication

Temporal Memory Streaming

Query Execution in Column-Oriented Database Systems

ECE fac candidate, Tomas Palacios

ECE fac candidate, Nader Behdad

ECE fac candidate, David Ricketts

Physical modeling, inverse scattering, & applications of Optical Coherence Tomography, Nonlinear Raman Microscopy, and Near-Field Microscopy

InAs-based Heterostructures for High Frequency, Low Power Components

Dr.Gokirmak-Faculty Candidate: A Side-Gated Silicon nMOSFET for Field Effect Transistor Based Sensing

Dr.Kozodoy-Faculty Candidate Seminar, p-type GaN for Electronic and Optoelectronic Device Applications

High-Integration, Programmable Wireless Interfaces for Long-Range Communications

The Information Theory of Sleeping Sensors and Idle Servers

Slow Light in Semiconductors – Give Light a Brake

SiGe Heterostructure Devices: Overview and Outlook

Simulating Markov Decision Processes

A Systematic Study of Molecular Electronics:

One-Dimensional Transport in Nanowire Heterostructures

STATE ESTIMATION IN MULTI-AGENT DECSION AND CONTROL SYSTEMS

Multiscale Information Processing and Commuications

Fast Back-Projection Algorithms for Image Formation in Computer Tomography and Synthetic Aperture Ra