All Seminars

Flat Minima Generalize for Low-Rank Matrix Recovery

MIDAS Symposium | The AI in Science and Engineering annual symposium

Large-pose Face Analysis: Alignment, Reconstruction, and Recognition

Bits through Sensors: Bounds on Classification and Learning Performance via Information Content

Planning, Control and Perception for Agile Robot Navigation: Compression, Attention, and Anticipation

Optimal first-order convex minimization methods with applications to image reconstruction and machine learning

Carrots, Sticks and Other Smart Grid Tricks: The Capacity Value of Retail Demand Response

LNF Users Symposium

Multiscale imaging of mammalian brain

Closing the Loop Between Mind and Machine: Building Algorithms to Interface With Brains at Multiple Scales

Battery Control Engineering (a really dry run of a CDC 2017 plenary)

Scarfs Lemma and Stable Matchings

New perspective from Blackwell's comparisons of experiments on generative adversarial networks and differential privacy

Stephen Forrest: ECE Bicentennial + Beyond Lecture

Power System Transitions for Decarbonization

Nanomedicine Applications Mediated by Electromagnetic Fields

Creating, Diagnosing, and Controlling High Energy Density Matter with the National Ignition Facility

Why Data Science Needs Curation and Why Curation Needs Data Science

Formal Verification of Aerospace Software

Semiconductor Nanowires for Optoelectronics Applications

Subspace codes and rank-metric codes: List-decoding and sparse constructions

Representing power system security in the demand space: Challenges and opportunities

Energy Transfer in Compressible Magneto-hydrodynamic Turbulence

ECE Safety & Coffee

Scattering of Electromagnetic Waves in Random Media with Applications in Microwave Remote Sensing of Snow and Ice

Probabilistic Graphical Models and Online Learning

Making Robust Decisions from Data

Non-linear models for matrix completion

MICROELECTRONICS, MEMS, AND MICROSYSTEMS: A Sixty-Year Fantastic Voyage

Electricity demand management for networked infrastructure systems

Going Small: The Advantage of Nanosatellites

Global Optimality in Matrix Factorization and Deep Learning

Microwave Sensing Through the Subsurface for Addressing the Water Puzzle

The Hidden Mechanics of Locomotion: A New Perspective on Wearable Robotics and Human Locomotor Control

Dissipativity Theory for optimization and Machine Learning Research

The Two-Edged Sword of Democratizing Grid Control: Distributed Inertia Control as a Cyber-Physical Attack Path

Tunable Cavities and Cold-Plasma Electronics for Reconfigurable RF Front-Ends

Examining engineering concepts in practice: Is conceptual understanding relevant to practice?

Double Seminar by Tamara and Alex Berg

New insights into analysis of polarimetric radar data from fundamental physics

Future Mobility: Cloud-Enabled Automotive Decision-Making Systems

Evolution of a Career, Computers, and Cars: 40 Years of Change

Resilient Architectures and Algorithms for Generation Control of Inertial-Less AC Microgrids

Technology for the Future

Multiscale Electrophysical Systems to the Rescue

Electrodes for Top-Illuminated Organic Photovoltaic Devices: An investigation into electrode design and interfacial energetics

NASA Cyclone Global Navigation Satellite System (CYGNSS) Earth Venture Mission

Multiphysics Modeling in Computational Electromagnetics: Technical Challenges and Potential Solutions

Statistical Models for Analyzing Dynamic Social Network Data

Learning from Nature: When Models Meet Multitudes

Physics and Applications of Optically Active Semiconductor Quantum Structures

Bridging HED Plasma Sciences to Stockpile Stewardship and Defense Applications

ECE Expedition: Detroit

Predictive Maintenance and Condition-Based Infrastructure Monitoring with Automated Drones

Development of a Magnetic Resonance Imaging-Guided Robotic Intravascular Active Catheter System

Remote Community Microgrids

Ultra Low-Power Analog Front-End Design

Leveraging dense package technology in advanced technologies for large SoCs

Recent Advances in Theory of Multipactor Discharges

Experimentally Fusing Control System and Plant Design Optimization to Generate Electricity in the Air

Domain Adaptation for Recommender Systems

Hardware and software progresses on designing programmable matter

Sparse Signal Recovery in Bilinear Inverse Problems

Probabilistic safety via stochastic reachability: Application to autonomous systems and to physiological systems

Towards novel optical imaging techniques with applications in ophthalmology and vision science

Nanosecond Pulsed Power-Generated Transient Plasma for Energy and Environmental Applications

The science of autonomy: A happy symbiosis among learning, control and physics.

IoT Sensing Device and Machine Learning

On Clothing Object Detection from Images and Videos

Learning Large Graphs from Compressed and Subsampled Data

Towards Joint Understanding of Images and Language

Free Component Analysis

Prices and Subsidies in the Sharing Economy

Optimal Signaling Mechanisms in Unobservable Queues

Shannon's Information Measures and Markov Structures

Fundamental Limits of Remote Estimation

Mean Field Teams

Building Robust Distributed Systems and Network Protocols by Using Adversarial Testing and Behavioral Analysis

Continuous-time Pipeline ADC

Electromagnetic Simulation Tools for Advanced Driver Assistance Systems

l1 methods for tracking sparse signals

Storage in Power Systems: Frequency Control, Scheduling of Multiple Applications, and Computational Complexity

The sympathy of pendulum clocks and network synchronization

Tunnel FET Modeling and Exploratory Circuit Design/Compiling Analog-to-Digital Converters

When the Correct Technical Solution Is Not Good Enough

Private Learning and Exit Decisions in Collaboration

Novelties of Reflectarray Antennas: Legitimate Children of Reflector and Array Antennas

Understanding and Optimizing Solution-Processed Systems

Inferring, Summarizing and Mining Large-scale Graph Data

Photonic-molecule light and Super-nonlinear optical metamaterials

Convolutional Dictionary Learning Using a Fast Block Proximal Gradient Method

Plasma Instabilities in Electric Propulsion Devices

Collaborative Road Freight Transport

Samsung Innovation

Data and Analytics: Emerging trends and opportunities at Ford Motor Company

Numerical Synthesis of Pontryagin Optimal Control Minimizers Using Sampling-Based Methods

Variable-length Codes for Channels with Memory and Feedback: fundamental limits and practical transmission schemes

The Capacity Value of Retail Demand Response

Microfabricated Indium-fueled Electrospray Thruster Development

Optimal Coordination of Connected and Autonomous Cars in Smart Cities

From Power Management to Energetic Intelligence: an evolutionary challenge for students and educators

The New World of Lighting: SSL and Beyond

Differential Privacy for Dynamic Data

Sequential Learning, Optimization and Control for Cyber-Physical Systems

Reminiscences on My Career in Control

Influence Maximization in Stochastic and Adversarial Settings

Computational and Statistical Convergence for Graph Estimation: Just Relax

Graph Clustering, Convex Optimization and Crowdsourcing

Magnetic Field Amplification by Turbulence in High-power Laser Experiments

Exploiting Geometry for High-Resolution Source Localization

Nowruz Celebration

Decision Making Under Uncertainty in Networks of Strategic Agents

Findig Low-Rank Structure in Messy Data

On Estimation with Strategic Sensors

ECE Safety & Coffee

Efficient scalable algorithms for adaptive data collection

Tackling the size and complexity of large-scale neural datasets

Learning Human Preferences and Perceptions From Data

Semiconductor Quantum Technologies for Communications and Computing

Polar Codes: Implementations and Finite-Length Analysis

Probablistic Topic Models and User Behavior

Energy Storage Performance Characterization for Microgrid Applications

Magnetic Direct Drive Fusion Experiments on the Z Facility

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

The Shape of Data

Leveraging Union of Subspace Structure to Improve Constrained Clustering

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

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

Language and Vision: Learning Knowledge About the World

From Model T to Waymo: Cars have gotten better – has transportation data science?

Stochastic Control of Engine Knock

Materials, Manufacturing and Device Innovations for Soft Electronics

Pricing Electricity through a Stochastic Non-Convex Market-Clearing Model

Diversity and Resilience in Robot Networks

The Surprising Power of Simple Models for Compliant Manipulation Under Uncertainty

Light up Computing Systems

Resistive Random Access Memory (RRAM)s Applications for Neuro-inspired Computing and Hardware Security

Descending Price Auction Algorithm for Determining Market Clearing Prices in Matching Markets

Optimal Electricity Planning and Dispatching Incorporating Health Impacts

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

Optimization for Control and Planning of Multi-contact Dynamic Motion

Sequential change-point detection over dynamic networks

Non-technology Barriers to the Deployment of Distributed Energy Storage

Lunar New Year Celebration

Human-Centered Computing: Using Speech to Understand Behavior

Koopman Operator Theory in Dynamical Systems and Control

Organic Light Emitting Devices (OLEDs): The Coming Revolution in Displays and Lighting

Security Pre-Screening in the Design of Cyber-Insurance Policies

Grid Modernization: Challenges, Opportunities, and Solutions

Coherent control of injection currents

Intermittent Communication Control in Mobile Robot Networks

Operating and Planning Battery Energy Storage in a Competitive Market Environment

Behind the Scenes: Decoding Intent from First Person Video

The Potential of On-Demand Mobility: Lessons from System Analysis and Data Visualization

Nonlinear observers robust to measurement errors and their applications in control and synchronization

Data-Driven Methods for Sparse Network Estimation

Communication-Cognizant Hybrid Voltage Control in Distribution Networks

What You Saw Is Not What You Get: domain adaptation for deep learning

On Data-Driven Creativity