Advanced Bandit Algorithms Research

Adversarial Robustness in Machine Learning

Domain Adaptation and Few-Shot Learning

Yong Zheng

Associate Professor of Information Technology and Management

Illinois Institute of Technology

Data Management and Algorithms

Human Mobility and Location-Based Analysis

Intelligent Tutoring Systems and Adaptive Learning

Richard K Asiamah

Lecturer

Georgia Institute of Technology

Energy Load and Power Forecasting

Hybrid Renewable Energy Systems

Power System Optimization and Stability

Tian Lan

Professor

Department of Electrical and Computer Engineering

George Washington University

Communication

Computer Networks

Reinforcement Learning in Robotics

Dr. Ga Wu

Professor

Dalhousie University

Domain Adaptation and Few-Shot Learning

Recommender Systems and Techniques

Sentiment Analysis and Opinion Mining

Kyra Gan

Graduate Field Faculty Assistant Professor

Cornell University

Advanced Causal Inference Techniques

Bayesian Modeling and Causal Inference

Explainable Artificial Intelligence (xai)

Sarah Dean

Graduate Field Faculty Assistant Professor

Cornell University

Advanced Control Systems Optimization

Control Systems and Identification

Ethics and Social Impacts of AI

Qing Zhao

Joseph C. Ford Professor of Engineering

Cornell University

Advanced Statistical Process Monitoring

Cognitive Radio Networks and Spectrum Sensing

Distributed Sensor Networks and Detection Algorithms

Ashok Cutkosky, PhD

Assistant Professor (ECE, CS, SE Appointed)

Department of Electrical and Computer Engineering

Boston University

Optimization and Search Problems

Sparse and Compressive Sensing Techniques

Andre Wibisono

Assistant Professor

Yale University

Markov Chains and Monte Carlo Methods

Sparse and Compressive Sensing Techniques

Statistical Methods and Inference

Yang Cai

Professor

Yale University

Advanced Image and Video Retrieval Techniques

Consumer Market Behavior and Pricing

Chongjie Zhang

Associate Professor

Washington University in St. Louis

Adaptive Dynamic Programming Control

Data Stream Mining Techniques

Domain Adaptation and Few-Shot Learning

Chien-Ju Ho

Associate Professor

Washington University in St. Louis

Experimental Behavioral Economics Studies

Mobile Crowdsensing and Crowdsourcing

Roman Garnett

Associate Professor

Washington University in St. Louis

Advanced Multi-Objective Optimization Algorithms

Gaussian Processes and Bayesian Inference

Tengyang Xie

Assistant Professor

University of Wisconsin–Madison

Adversarial Robustness in Machine Learning

Reinforcement Learning in Robotics

Kirthevasan (Kirthi) Kandasamy

Assistant Professor

University of Wisconsin–Madison

Gaussian Processes and Bayesian Inference

David R. Cheriton School of Computer Science

Saeed Ghadimi

Assistant Professor, Management Sciences

University of Waterloo

Advanced Optimization Algorithms Research

Risk and Portfolio Optimization

Sparse and Compressive Sensing Techniques

Jamie Morgenstern

Associate Professor

University of Washington

Ethics & Fairness

Human-Centered AI

Machine Learning

Kevin Jamieson

Associate Professor

University of Washington

Machine Learning

Reinforcement Learning in Robotics

Simon Shaolei Du

Associate Professor

Theoretical Computer Science

University of Washington

Data Mining

Generative AI

Machine Learning

Nishant Mehta

Associate professor; data science advisor

University of Victoria

Machine Learning Theory

Statistical Methods and Inference

Willie Neiswanger

Assistant Professor of Computer Science

University of Southern California

Gaussian Processes and Bayesian Inference

Machine Learning and Data Classification

Kirk Pruhs

Professor

University of Pittsburgh

Complexity and Algorithms in Graphs

Distributed and Parallel Computing Systems

Optimization and Search Problems

Meena Jagadeesan

Assistant Professor; Computer and Information Science

University of Pennsylvania