Top computational Experts
Search thousands of experts from around the world.
Seth H. Weinberg, Ph.D.
Assistant Professor, Department of Biomedical Engineering · VCU College of Engineering
Dr. Weinberg's research focuses on computational physiology, specifically questions related to electrophysiology and mechanobiology.
Computational physiology Cardiac electrophysiology Extracellular matrix assembly Nonlinear dynamics in biology Multicellular modeling
Distinguished Professor, Data Science · New Jersey Institute of Technology
Interests lie at the intersection of data science & high-performance computing, with applications in cybersecurity
Graph Analytics Massive-Scale Analytics High-Performance Computing Data Science Applications in Cybersecurity
Professor of Information Systems & Operations Management · Emory University, Goizueta Business School
Public Health & Technology Implementation Science AI Ethics AI-Human Collaboration Agent-based Organizational Modeling
Professor, Director of Master of Arts in Educational Technology · Michigan State University
An expert in STEM education, with a specific focus on computer science and engineering education
Teacher Professional Development Case-based Instruction Computer Science Education STEM Education Engineering Education
Director of the San Diego Supercomputer Center and Distinguished Professor of Physics · UC San Diego
Michael Norman is author of over 300 research articles in the diverse areas of astrophysics, including star and galaxy formation.
High-Energy Astro Galaxy Formation Computational Astrophysics Cosmology Star Formation
Christopher A. Lemmon, Ph.D.
Inez A Caudill Professor; Associate Chair, Department of Biomedical Engineering | B.S., Lehigh University | M.S., University of Wisconsin | Ph.D., Johns Hopkins University · VCU
Dr. Lemmon's research lies in cell-generated traction forces and extracellular matrix biology
Cell-generated traction forces Extracellular matrix biology Cellular mechanotransduction Mechanobiology of fibrosis Matrix mechanics and signaling in the tumor microenvironment;
Chair and Professor of Biology · Loyola Marymount University
Seaver College of Science and Engineering
Molecular Biology Science Bioinformatics Genomics Computational Biology
Supriyo Bandyopadhyay, Ph.D.
Commonwealth Professor, Department of Electrical and Computer Engineering · VCU College of Engineering
Professor Bandyopadhyay has authored and co-authored over 400 research publications
Self-assembly of Regimented Nanostructure Arrays Spintronics Quantum Devices Hot Carrier Transport in Nanostructures Nanoelectronics
Assistant Professor · Michigan State University
Arjun Krishnan develops and applies computational data-driven approaches to unravel how our genome relates to health and disease.
Precision Medicine Big Data Genome-wide molecular networks Computational Biology Machine Learning
Assistant Professor, Industrial and Systems Engineering · Georgia Tech - College of Engineering
Gupta's research focuses on optimization, machine learning, and bias and fairness within the AI sphere.
Data-driven Decision-making Under Partial Information Online and Machine Learning Combinatorial, Convex and Robust Optimization Fairness and Bias in Decisions
Associate Professor of Business · University of Mary Washington
Christopher Garcia is an expert in optimization, quantitative modeling and business analytics.
Applied Statistics Data Mining Predictive Analysis Optimization Experimental Design
Jung Lee, Ph.D.
Associate Professor · Milwaukee School of Engineering
Dr. Jung Lee is an expert in bioinformatics, drug design and molecular modeling.
Molecular Modeling Computational Biology Chemistry Biomolecular Engineering Bioinformatics
Professor and Shuler Scholar, Chemistry and Biochemistry · UC San Diego
Her research focuses on development of computational methods in biophysics for applications to drug discovery.
H1N1 Computational Methods in Drug Discovery COVID-19 Biochemistry Chemistry
Channa R. De Silva
Associate Professor · Western Carolina University
Channa De Silva teaches chemistry and carries out research in the areas of nanotechnology, biotechnology, and computational chemistry.
General Chemistry Computational Chemistry Nanotechnology Biotechnology Inorganic Chemistry
Dean of the School of Science; Professor; Director, Rensselaer Exploratory Center for Cheminformatics Research (RECCR) · Rensselaer Polytechnic Institute
Specializes in the development of new molecular property descriptors and machine learning methods for physical and biochemical problems
Science Machine Learning Methods Chemical Biology Physical Organic and Computational Chemistry Chemistry
Derek Riley, Ph.D.
Professor, Program Director · Milwaukee School of Engineering
Dr. Derek Riley is an expert in machine learning, deep learning, artificial intelligence, simulation, and high-performance computing.
Machine Learning Deep Learning Computational Science Computer Science Algorithms
Director, Rensselaer AI & Reasoning Lab; Professor, Cognitive Science and Computer Science · Rensselaer Polytechnic Institute
Expert in logic and philosophy, specializing in AI and reasoning
Artifical Intelligence Philosophical Foundations of AI Computational Economics AI Systems Formal Logic
Tomasz Arodz, Ph.D.
Associate Professor · VCU College of Engineering
Dr. Arodz's research focuses on machine learning and bioinformatics
Machine Learning: Nonlinear Classification Methods That Incorporate Existing Knowledge Into Training Systems Biology: Integration of Prior Biological Knowledge and Multiple Sources of Data for Pathway Discovery Computational Biology: Analysis of Role of Protein Mutations in Evolution and Disease Pattern Recognition and Machine Learning in Biomedicine Protein Evolution
Assistant Professor · University of Florida
Sarah Moeller's research focuses on applying computational methods to documentary and descriptive linguistics.
Languages of the Former Soviet Union Artificial Intelligence Computational Linguistics Linguistics Endangered Languages
Professor & Department Head, Biomedical Engineering · Rensselaer Polytechnic Institute
Specializes in systems biology and process modeling and analysis with a focus on Autism diagnosis and treatment
Modeling and Control Data Science Computational Systems Biology Autism Spectrum Disorder