Karla Saldaña Ochoa

Assistant Professor · University of Florida

Karla Saldaña Ochoa investigates the interplay of artificial and human intelligence to empower creativity and social good.

AI Architectural Design Data Analysis Disaster Response Human-Centered AI

Arni Rao, PhD

Director and Professor · Augusta University

Director of the Laboratory for Theory and Mathematical Modeling and professor at the Medical College of Georgia at Augusta University.

Artifical Intelligence Infectious Disease Mathematical Analyses Complex Dynamics,

Jose Vazquez, MD

Infectious Diseases · Augusta University

Dr. Jose Vazquez studies and treats infectious diseases, including COVID-19, antibiotic-resistant superbugs and fungal infections.

Coronavirus Translational Medicine in Infectious Diseases Drug-Resistant Infections (CREs, KPCs) Infectious Disease Clinical Trials Antimicrobials and Antifungals

Kris Tuttle

Director of Research · SoundView Technology Group

Applied Technology Expert - emerging technology impact on business and investments

Computing Investing Software Cloud Big Data

Anil Jain

University Distinguished Professor, Department of Computer Science · Michigan State University

Expert in biometrics (pattern recognition, computer vision and biometric recognition)

Pattern Recognition Computer Vision Biometrics Markov Random Fields Clustering Data

Abhishek Tiwari

Senior Director Of Engineering · HelloFresh

I build real-time polyglot applications with big data in the cloud. #data #architecture #engineering #technology #machine #intelligence.

Amazon Web Services Solutions Architecture Marketing Technologies Big Data Digital Advertising

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

Aleix Martinez

Professor | Department of Electrical and Computer Engineering · The Ohio State University

Engineering expert, with a penchant for affective computing and computer learning

Machine Learning Computer Science Pattern Recognition Computer Vision Computational Neuroscience

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