Michael Curran, PhD
The Diana and Thomas Klein '84 Associate 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
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
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
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
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
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
Annabelle Singer
Assistant Professor, Biomedical Engineering · Georgia Tech - COE
Annabelle Singer researches to understand how neural activity produces memories and spurs the brain’s immune system.
Alzheimer's Disease Virtual Reality Optogenetics Learning & Memory Neural Coding & Decoding
Dr Felipe Campelo
Senior Lecturer, Computer Science · Aston University
Dr Campelo works in data science. He creates solution pipelines integrating data mining, optimisation and multicriteria decision support.
Optimisation Computational Intelligence Data Mining Data Science
Jian Kang
Assistant Professor of Computer Science · University of Rochester
Kang is an expert in artificial intelligence (AI) and machine learning and ethics and safety
Algorithmic Fairness Artificial Intelligence Computational Social Science Data Mining Machine Learning
Preetam Ghosh, Ph.D.
Interim Chair and Professor, Department of Computer Science · VCU College of Engineering
Professor Ghosh researches complex networks and systems biology, using modeling and simulation, applied-AI and network science.
AI Wireless Networking and Mobile Computing Systems Biology Stochastic modeling and discrete event simulation Mobile ubiquitous and grid computing
Martin Kang, Ph.D.
Assistant Professor of Information Systems and Business Analytics, College of Business Administration · Loyola Marymount University
Econometrics Empirical Analysis Artificial Intelligence Machine Learning Data Science
Jeff LaMack, Ph.D.
Professor, Program Director · Milwaukee School of Engineering
Dr. Jeff LaMack is a biomedical engineer with expertise on effects of cardiovascular fluid mechanics on devices and pathologies.
Undergraduate Engineering Curriculum Design and Assessment Engineering Education Biomaterials Biomedical Engineering Effects of Cardiovascular Fluid Mechanics on Devices and Pathologies
Meera Sitharam
Professor · University of Florida
Meera Sitharam's expertise is in computational geometry with research in algorithms, bioinformatics and machine learning.
Artificial Intelligence Combinatorial and Geometric Rigidity Discrete Geometry Softmatter and Microstructure Mathematical and Computational Modeling
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
Prasad Tetali
Professor and Department Head · Carnegie Mellon University
Prasad Tetali's research interests are in the areas of discrete math, probability and theory of computing.
Probability and Theory of Computing Isoperimetry and Functional Analysis Computational Number Theory Discrete Math Markov Chains