Top computational Experts
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Distinguished Professor, Computer Science · New Jersey Institute of Technology
Interests lie at the intersection of data science & high-performance computing, with applications in cybersecurity
Computational Genomics Applications in Cybersecurity Data Science High-Performance Computing Massive-Scale Analytics
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
Professor, Department of Biomedical Engineering · VCU College of Engineering
Professor of Biomedical Engineering and Orthopaedic Surgery & Director, Orthopaedic Research Laboratory
Experimental and computational modeling of diarthrodial joint function Structural stability of fixation constructs Articular cartilage: normal function reparative techniques Reparative Techniques
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
Assistant Professor, Department of Biomedical Engineering and Pauley Heart Center | B.S. Engineering, Baylor University | M.D., UT Southwestern Medical Center | Ph.D. Biomedical Engineering, Yale University · VCU College of Engineering
Cardiovascular Mechanics & Imaging Lab: developing MRI quantification of patient-specific mechanics for improved cardiovascular diagnostics
Cardiovascular Biomechanics Aortic Aneurysms & Dissections Cardiovascular MRI Growth & Remodeling
Associate Professor and Associate Chair, Department of Biomedical Engineering | B.S., Lehigh University | M.S., University of Wisconsin | Ph.D., Johns Hopkins University · VCU College of Engineering
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;
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
Chair and Professor of Biology · Loyola Marymount University
Seaver College of Science and Engineering
Molecular Biology Science Bioinformatics Genomics Computational Biology
Commonwealth Professor, Department of Electrical and Computer Engineering · VCU College of Engineering
Professor Bandyopadhyay has authored and co-authored nearly 400 research publications
Self-assembly of Regimented Nanostructure Arrays Spintronics Quantum Devices Hot Carrier Transport in Nanostructures Nanoelectronics
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
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
Professor of Information Systems & Operations Management · Emory University, Goizueta Business School
Public Health & Emergency Response Theatre, Performance & Leadership Decision Making & Expertise Public Health & Technology Semantic Web Ontologies
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
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
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
Associate Professor and Vice Chair of Pharmacology and Pharmaceutical Sciences · USC School of Pharmacy
Ian Haworth's research focuses on bioinformatics, computer-aided drug design and therapeutic drug development.
Therapeutic drug development Computational Chemistry Computer-aided Molecular Design DNA and RNA structure Protein Structure
Dean, School of Science & Professor, Chemistry and Chemical Biology · 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
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
Assistant Professor · Haas School of Business, University of California, Berkeley
Leading researcher in computational sociology and online social network experiments
Social Media Policy Collective Intelligence Collective Creativity Categorization Culture and Cognition
Associate Professor, Graduate Program Director · 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