Malik Magdon-Ismail

Professor, Computer Science · Rensselaer Polytechnic Institute

Learning from data and decision-making in complex data systems

Probability and Stochastic Processes Pattern Recognition Machine Learning Big Data Algorithms

Hoda Heidari

Assistant Professor · Carnegie Mellon University

Hoda Heidari is broadly interested in the Ethical and Societal Aspects of Artificial Intelligence and Machine Learning.

Algorithmic Economics Machine Learning Ethics Artificial Intelligence Fairness and Accountability

Rayid Ghani

Distinguished Career Professor · Carnegie Mellon University

Rayid Ghani is a reformed computer scientist who wants to increase the use of large-scale Machine Learning in solving large public policy.

Predictive Analytics Machine Learning Ethics Public Policy Information Systems

Olexandr Isayev

Assistant Professor, Chemistry · Carnegie Mellon University

Olexandr Isayev's research focuses on solving fundamental chemical problems with machine learning, molecular modeling and quantum mechanics.

Theoretical Chemistry Computational Chemistry Machine Learning Cheminformatics Drug Discovery

Aarti Singh

Professor · Carnegie Mellon University

Aarti Singh researches machine learning, statistics and signal processing, focusing on algorithms for learning and decision making.

Digital Twins Human Factors in Decision Making Autonomous Decision Making Machine Learning Signal Processing

Deva Ramanan

Professor · Carnegie Mellon University

Deva Ramanan's research interests span computer vision and machine learning, with a focus on visual recognition.

Human-Centered Robotics Human-Robot Collaboration Machine Learning Embedded in Systems Neurorobotics 3-D Vision and Recognition

Eric Yttri

Assistant Professor · Carnegie Mellon University

Eric Yttri's research goal is to establish how neural circuits lead to these action selection decisions.

Motor Coordination Cognitive Brain Function Neural Circuits Neuroscience

Sai Zhang

Assistant Professor · University of Florida

Sai Zhang's research leverages machine learning and big biomedical data to decode complex human diseases and advance precision medicine.

Computational Biology Computational Genomics Machine Learning Precision Medicine Statistical Genetics

Xiaoming Liu

MSU Foundation Professor · Michigan State University

Xiaoming Liu works on computer vision, machine learning, and biometrics, especially on face related analysis.

Deepfake Detection Biometrics Computer Vision Machine Learning Pattern Recognition

Tomasz Arodz, Ph.D.

Associate Professor · VCU College of Engineering

Dr. Arodz's research focuses on machine learning and bioinformatics

Biomedical Data Science Foundational Models Bioinformatics Machine Learning & Deep Learning Quantum Machine Learning

Emma "Mickey" MacKie

Assistant Professor · University of Florida

Mickey MacKie uses geophysical observations and machine learning techniques to study the topography, geology and hydrology of glaciers.

Cryosphere Research Glaciology Topography, geology and hydrology of Glaciers Machine Learning Glaciers

Amir Hayeri

Chief Executive Officer · Bio Conscious Technologies

As the Founder & CEO of Bio-Conscious Technologies Inc, Amir has a diverse background in developing novel medical software technology.

Medical Software Technology Artificial Intelligence Machine Learning Glucose Monitoring Diabates

Carolyn Penstein Rosé

Professor · Carnegie Mellon University

Carolyn Penstein Rosé's research looks to understand and improve human conversation through computer systems.

Language Technologies Human Conversation Text Mining Human-Computer Interaction Computational Discourse Analysis

Vilma Todri

Associate Professor of Information Systems & Operations Management · Emory University, Goizueta Business School

Economics and Machine Learning Digital Advertising Digital Strategy Online Consumer Behavior Social Media

Ken Holstein

Assistant Professor · Carnegie Mellon University

Ken Holstein's research focuses broadly on AI-augmented work and improving how we design and evaluate AI systems for real-world use.

Worker-Centered Design Human-Computer Interaction Artificial Intelligence Applied Machine Learning Intelligence Augmentation

Zhoumeng Lin

Associate Professor · University of Florida

Zhoumeng Lin’s research is on developing computational models to study nanomedicine, food safety, nanoparticle and chemical risk assessment.

Machine Learning Food Safety Assessment Environmental Health Physiologically-Based Pharmacokinetic (PBPK) Modeling Toxicology

Alona Fyshe

Assistant Professor · University of Victoria, Computer Science Department

Machine Learning and the Neuroscience of Language Understanding

Machine Learning Neuroscience and Language Computational Linguistics Natural Language Processing Data Analysis and Data Mining

Panagiotis (Panos) Adamopoulos

Assistant Professor of Information Systems & Operations Management · Emory University, Goizueta Business School

Social Media Information Systems Recommender Systems Social Commerce Word of Mouth

Xilei Zhao

Assistant Professor · University of Florida

Xilei Zhao focuses on developing and applying data and computational science methods to tackle problems in transportation and resilience.

Machine Learning Public Transit Hurricane Evacuation Community Resilience Artificial Intelligence

Christopher D. Carothers

Director, Center for Computational Innovations (CCI) & Professor, Computer Science · Rensselaer Polytechnic Institute

Researches massively parallel computer systems with a focus on modeling and simulation systems

Information and Computer Science Parallel Discrete-Event Simulation Computer Science Massively Parallel Systems Modeling and Simulation Systems