All Seminars

Flat Minima Generalize for Low-Rank Matrix Recovery

MIDAS Symposium | The AI in Science and Engineering annual symposium

The Role of Network Structure in Controlling Complex Networks

LNF Users Symposium

Probability on graphs: Centrality, Optimization, and Social Learning

Using Relativistic Intensity Laser Pulses to Generate Huge Magnetic Fields and a Magnetic Reconnection Geometry

Overview of the NASA TROPICS CubeSat Constellation Mission

Deconstructing Integrated High Energy Density Physics Experiments into Fundamental Models for Validation

Steins Method for Big-Data Systems: From Learning Queues to Q-Learning

Gradient Metasurface for Surface Wave Control

Gravitational Waves: A New Window to the Universe

Person Specific Temporal Networks: Accuracy, Dynamics, and Emojis 😕

The Centrality of Control Theory in Robotics

Fast and Slow Learning from Reviews

EER – Talking about Teaching

Low Noise Amplifiers and Receivers for Remote Sensing and Astrophysics

Some Understandings and New Designs of Recurrent and Convolutional Networks

High efficiency c-Si solar cells with ultrathin SiOx tunneling passivation and polycrystalline-Si contact

Reliable evidence from health care data: lessons from the Observational Health Data Sciences and Informatics (OHDSI) collaborative

One if by Land and Two if by Sea: A Glimpse into the Value of Information in Strategic Interactions

Seeking Relationship Support: Strategic network formation and robust cooperation

Kinetics of Nanosecond Discharges at High Specific Energy Release

Restricted Isometry, Low-Rank Matrix Recovery, and Power System State Estimation.

Inverter-based Control for Low Inertia Power Systems: Scale-free Analysis, Performance Trade-offs, and Controller Design

Exploiting Disorder in Ternary Heterovalent Semiconductors to Tune Across the Visible Spectrum

Predictive Analytics for Smart and Connected Systems

A Tale of Cybersecurity, With Applications to Automobiles

Electrical Engineering and Computer Science in the Golden Age of Engineering

Two-Step Estimation and Inference with Possibly Many Included Covariates

Wearable Robots to Induce Recovery of Motor Function after Neurological Injury

Power System Reliability Simulation Incorporating Renewable Energy Sources

Magnetless Nonreciprocal Devices Based on Time Modulation and Nonlinearities

From Discrete Event Systems to Discreet Event Systems

Solving (Stellar) Flows: Methods, Software, and Results

The Promise of Crowdsourcing for Natural Language Processing and Other Data Sciences

Optimal Control And Estimation with Noisy Time and Communicative Actions

Deep Exploration in Reinforcement Learning: from Thompson Sampling to Randomized Value Functions

EER – Talking about Teaching

Physical Flow over Networks: Analysis, Control and Computation

Optimally Weighted PCA for High-Dimensional Heteroscedastic Data

Determine the Number of States in Hidden Markov Models via Marginal Likelihood

Peripheral vascular resistance and cardiovascular autoregulation monitoring using a wearable piezoelectric sensor assembly

Plasma Interactions with Materials, Metamaterials, and Photonic Crystals

Material challenges and opportunities in next generation electronics: from non-silicon electronics to artificial neural networks

How Microwaves Launched and Enabled My Academic and Research Career

New methods for detecting natural selection in large samples of genetic data

Supervisory Control of Discrete Event Systems: A Retrospective and Two Recent Results on Privacy and Security

The 3rd Revolution in Computing has just begun: Connecting the Physical World to the Power of the Digital World

Statistical models for analyzing dynamic social network data

The Simple Physics of Electronic, Thermal, and Electro-thermal Transport from the Nanoscale to the Macroscale

Language-agnostic Social Media Signal Processing

Use of Computation for Understanding Plasmas

The Enigmatic Kime: Time Complexity in Data Science

Control of Automated Vehicles and Batteries

ECE Innovator Program: Presentations and Reception

The Benefits of Mixed-Signal Computing for Neural Network Inference

Ten Positive Years of Electromagnetic Structures with Negative Elements

Primal-Dual Pi Learning Using State and Action Features

Mean field games and their application to energy systems

How Control Theories Were Used to Improve Energy and Safety of Automotive Systems

Grid of the Future: Controlling the Edge

Learning from Big but Finite Data: Algorithms and Insights for Neural Networks

Optical Response of Layered Topological Semimetals

Molding Surface Waves with Metasurfaces

Decision-making tools for influence propagation in social systems

Online Learning in Complex Domains

Fast, Efficient, Scalable and Accessible Image Compression

Innovator Program: How to Efficiently Build Your Lab Innovation to a Working Prototype

Innovator Program: How Do License Your Intellectual Property From University of Michigan

Learning to detect an oddball target

Compositional Nonblocking Verification of Discrete Event Systems

Capacitive Sensing with Graphene

Innovator Program: How to Identify the Market Opportunity and Target Customer

Next Generation Spaceborne Wind Scatterometer and CubeSat Antennas: Lightweight 3D Printed Inhomogeneous Lens Antennas and Dual Reflectarray Antennas

Synthesis and Implementation of Distributed Supervisory Control for Discrete Event Systems: Application to Automated Manufacturing Systems

The Mid-Infrared as an Optical Playground

Prediction Machines: The Simple Economics of Artificial Intelligence

Stochastic load balancing on unrelated machines

International Conference for Advanced Neurotechnology (ICAN)

International Conference for Advanced Neurotechnology (ICAN)

On Distributed Information Processing: Law of Small Numbers

Future Trends in Wireless Communications: 5G and Beyond

Electronic States of the Moiré Superlattice

Network Algorithms and Delay Performance in Data Centers

The power of bias and what to do about it

CMOS sensors: from cardiovascular signal to environmental monitoring

Parameter Bounds Under Misspecified Models and Some Perspectives for Data Science and Learning

Model-Based Development – The Prosperous Life, Evolution, and Impact of a Diesel Engine Model

Information Geometry for Parameter Estimation in Large Energy Systems

Electron Emission from Two-Dimensional Novel Materials and Applications

Sparsity and Decomposition in Semidefinite Optimization

Will geometric mechanics revolutionize multi-legged locomotion?

Technology, Innovation and Diversity: Women and men creating technology together, and defining our future

Nyquist-Rate Healthcare: Silicon Systems to Close the Sub-Sampling Gap in Health Monitoring

Compressing the Internet Using Deep Learning: Numerical Characterization of the Internet Host Population

Optimizing the Participation of Distributed Energy Resources in Inertial and Primary-frequency Response

Plasma Treatment of Perfluoroalkyl Substances in Ion Exchange Brine Solutions: Reactor Design Challenges and Physicochemical Processes at the Plasma-liquid Interface

Stochastic Majorize-Minimize Subspace Algorithm for Large Scale Data Processing

Control and Autonomy in the Age of Cyber-Physical Systems

Protecting Security and Privacy of Connected & Automated Cars

Group Symmetric Covariance Estimation

Three Snippets of Taming the Nonconvex: QCQP, MIP, and MSIP

Emerging Research Topics in Plasma Science: Plasma-control of Electromagnetic Waves and High Energy Density Plasma Jets and Their Interactions

Increasing the Utility of Machine Learning in Clinical Care

High-efficiency control system development for connected and automated class 8 trucks

Streaming PCA with Missing Data

Clean Energy for All…Using Loads

Hypothesis testing perspectives on generative adversarial networks and differential privacy

Technology, The Science of Learning, and Transformation in Higher Education

Safe Multi-Vehicle System Planning and Coordination

Substrate Integrated Waveguide Modeling: Analytical Formulation for Multiple Cylinder Scattering By Dr. Dan Lawrence

Convex Relaxations of AC Optimal Power Flow under Uncertainty

New findings on variable renewable energy and the electricity grid

Efficient Hardware and Methods for Deep Learning

Data and Decision Science for Mobility Services

Distributed Randomized Algorithms for Convex and Non-Convex Optimization

Convex Relaxations for Severe Damage Analysis in AC Power Networks

Controlling light propagation in multimode fibers

Control and Estimation problems for Nonlinear Systems with an Approximation Theory Framework

Efficient Personalized PageRank Estimation for Many Sources and Many Targets

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

Theory and algorithms for optimization-based control on networks

Building Scalable Machine Learning Solutions for Data Curation

Orientation Control and Consensus Using Piecewise-Continuous Sinusoids with Application to Microrobots and Small-Satellite Swarms

ECE Lunar New Year

Innovation Pursuit and Spatial Random Sampling: New Unsupervised Data Clustering and Data Summarization Tools

Modern Methods for Neural Signal Processing

Imaging the Invisible

Evaluating Model Predictive Control for Vehicle Powertrain Thermal Management Applications

Information-age Conflict

Data Science for Networks: a Graph Signal Processing Perspective

DUP Lecture: Locating the nodes: from sensor arrays to genomic networks

Solar Energy and its Future Beyond Cost Parity

BATS: Network Coding in Action

Modern Machine Learning: Theory and Practice

Data Science at Columbia University

From Kinematic to Energetic Control of Wearable Robots for Agile Human Locomotion

Robust and Secure Control of Cyber-Physical Systems

Delay Bounds and Asymptotics in Cloud Computing Systems

Geometries of Word Embeddings

Tractable Algorithms for Hybrid Systems and Differential Games

Monitoring and Control for the Internet-of-Things: Resource and Security Challenges

Baseball Umpire Calls as a Naturally Occurring Data Source for Revealing Principles of Bias and Learning in Perceptual Judgments

Compression Algorithms for Enabling High-Dimensional Motion Planning

Title Medical image reconstruction using adaptive signal models

Ion Propulsion and the Job-Creating Power of the Rocket Equation

CPT Information Session

Making sense of the physical world with high-resolution tactile sensing

Larger, Faster, Random(ized): Computing in the Era of Big Data

Cerebellar patients have intact feedback control that can be leveraged to improve reaching

Information-Theoretic Approaches to Neural Network Compression, Clustering and Concept Learning