Joshua Carl, Ph.D.
Associate Professor · Milwaukee School of Engineering
Dr. Joshua Carl is an expert in the modeling and simulation of cyber-physical systems.
Numerical Integration Parallel Computation Modeling and Simulation of Cyber-Physical Systems Embedded Systems High Performance Computing
Minchul Shin
Assistant Professor, Department of Mechanical Engineering · Georgia Southern University
Minchul Shin is an expert in Mechatronics, MEMS and Nanotechnology, Micro-robots, and Acoustic Sensors.
Gesture Recognition Micro-robots Mechatronics MEMS and Nanotechnology Acoustic Sensors
David Yaron
Professor · Carnegie Mellon University
David Yaron has been involved in development and assessment of new learning technologies for over two decades.
Materials Theory Electronic Structure Theory Theory Computational Machine Learning
Michael Curran, PhD
The Diana and Thomas Klein '84 Assistant Professor of Economics | Villanova School of Business · Villanova University
Michael Curran, PhD, is an expert in computational international financial macroeconomics
Business Econometrics Computational Economics New Macroeconometrics Uncertainty
Joshua Bard
Associate Professor and Associate Head · Carnegie Mellon University
Joshua Bard is an architectural educator conducting applied research at the intersection of construction culture and robotic technology.
Architectural Robotics Robotic Technology Computational Methods Sustainable Architecture Design
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
Kenneth Hovis
Associate Teaching Professor, Mellon College of Science; Assistant Dean for Educational Initiatives · Carnegie Mellon University
As Mellon College of Science Assistant Dean for Educational Initiatives, Kenneth Hovis oversees the MCS core education.
Higher Education Biochemistry Science Education Biological Sciences Neuroscience
Alina Zare
Professor · University of Florida
Alina Zare's research focuses on developing new machine learning and artificial intelligence algorithms to process data and imagery.
AI for Defense AI for Agriculture Automated Sensor Understanding Remote Sensing Machine Learning
Ahmet Karagozoglu
Professor of Finance · Hofstra University
C.V. Starr Distinguished Professor in Finance and Investment Banking
Financial Modeling Computational Finance Derivatives Markets Advanced Derivatives Modeling Time Series Analysis of Financial Data
Dean Krusienski, Ph.D.
Professor and Graduate Program Director, Department of Biomedical Engineering | B.S., M.S., Ph.D., The Pennsylvania State University · VCU College of Engineering
Focusing on neural signal processing and analysis for the development of brain-computer interfaces and neuroprosthetic devices.
EEG Analysis Brain-Computer Interfaces Signal Processing Machine Learning Neuroprosthetics
Simon Garnier
Assistant Professor, College of Science and Liberal Arts · New Jersey Institute of Technology
Professor Garnier focuses on the study of collective behaviors and swarm intelligence in natural and artificial systems
Biological Sciences Swarm Robotics Interdisciplinary Education Collective Behavior Swarm Intelligence
Joseph E. Trainor
Interim Dean and Professor, Biden School of Public Policy & Administration · University of Delaware
Can discuss behavioral responses to disasters, including household risk management and decision making about warnings and evacuation orders.
Public and organizational behavior in disasters Disaster Mitigation Smart Warning Systems Mobile Warning Systems Disaster Warning Systems
John Brownstein
Chief Innovation Officer · Boston Children's Hospital
John Brownstein's research is focused on predicting patterns of epidemics and pandemics, and the efficacy of disease control strategies.
Population Health Informatics Molecular Biology Program Management Epidemiology Public Health
Samantha Bradshaw
Doctor of Philosophy Candidate · Oxford Internet Institute
Samantha Bradshaw is a D. Phil. candidate at the Oxford Internet Institute, working on the Computational Propaganda project.
Government Internet Governance Cyber Security Social Media and Democracy Computational Propaganda
Edward Mosteig
Professor of Mathematics · Loyola Marymount University
Seaver College of Science and Engineering
Commutative Algebra Coding Theory Valuation Theory Computational Algebra Statistics
Marsha Lovett
Teaching Professor and Vice Provost · Carnegie Mellon University
Marsha Lovett's research considers how learning works (mostly in college-level courses) and ways to improve it.
Higher Education Classroom Studies Computational Modeling Machine Learning Protocol Analysis
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
Martin Tanaka
Professor · Western Carolina University
Martin Tanaka's research interests include biomedical devices, computational modeling and neuromuscular control.
Design For Manufacturing Computational Modeling Material Properties and Behavior Innovation in Engineering Design Product Design and Development
Xiaobo Tan
MSU Research Foundation Professor and Richard M. Hong Endowed Chair in Electrical and Computer Engineering · Michigan State University
Expert in robotic fish, mobile sensing in aquatic environments
Soft Robotics Underwater Robotics Underwater Sensing
Duc Huynh
Assistant Professor · Georgia Southern University
Professor Duc specializes in computational number theory, explicit class field theory, and arithmetic geometry
Explicit Class Field Theory Computational Number Theory Arithmetic Geometry