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Machine Learning in Materials Science Research Faculty | GradNova

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Machine Learning in Materials Science

Machine Learning in Materials Science

22 faculty research Machine Learning in Materials Science on GradNova.

P

Priya Vashishta

Dean's Professor in Chemical Engineering and Materials Science, Biomedical Engineering, Computer Science, and Physics and Astronomy

Computer Science

University of Southern California

2D Materials and Applications

Advanced Chemical Physics Studies

Glass Properties and Applications

High-Pressure Geophysics and Materials

+1

J

Assistant Professor

Computer Science

University of Pittsburgh

Machine Learning in Materials Science

Quantum Computing Algorithms and Architecture

Quantum Many-Body Systems

Quantum Mechanics and Applications

S

Assistant Professor

Computer Science

University of Pittsburgh

Environmental Impact and Sustainability

Green It and Sustainability

Machine Learning in Materials Science

C

Professor

Computer Science

University of Pennsylvania

Cellular and Composite Structures

Machine Learning in Materials Science

Mechanical Behavior of Composites

Structural Behavior of Reinforced Concrete

+1

P

Co-Director of Cybersecurity Center at Mizzou Director of Cyber Education, Research and Infrastructure (Mizzou CERI) Greg L. Gilliom Professor of Cyber Security Curators’ Distinguished Professor

Computer Science

University of Missouri

Carbon Nanotubes in Composites

Computational Drug Discovery Methods

Machine Learning in Materials Science

Neural Networks and Applications

+1

R

Associate Professor of Computer Science, Statistics

Computer Science

University of Chicago

Advanced Graph Neural Networks

Bioinformatics and Genomic Networks

Computational Drug Discovery Methods

Machine Learning in Materials Science

+1

Y

Assistant Professor of Computer Science

Computer Science

University of Chicago

Data Management and Algorithms

Electrocatalysts for Energy Conversion

Human Mobility and Location-Based Analysis

Machine Learning in Materials Science

+1

A

Aditi Krishnapriyan

Below The Line Assistant Professor

Computer Science

University of California, Berkeley

Artificial Intelligence (ai)

Scientific Computing (sci)

Machine Learning in Materials Science

Model Reduction and Neural Networks

+3

R

Associate Member - Electrical & Computer Engineering

Computer Science

University of British Columbia

Advanced Electron Microscopy Techniques and Applications

Enzyme Structure and Function

Machine Learning in Materials Science

L

Professor

Computer Science

Tufts University

Computational Molecular Biology

Discrete Mathematics

Graph Algorithms

+4

H

Computer Science

University of Texas at Arlington

AI in Cancer Detection

Computational Drug Discovery Methods

Machine Learning in Bioinformatics

Machine Learning in Materials Science

+1

S

Professor, Computer Science & Engineering

Computer Science

Texas A&M University

Advanced Graph Neural Networks

Domain Adaptation and Few-Shot Learning

Face and Expression Recognition

Machine Learning in Materials Science

+1

S

Distinguished Professor

Computer Science

Purdue University System

Advanced Physical and Chemical Molecular Interactions

Machine Learning in Materials Science

Quantum Computing Algorithms and Architecture

Quantum Many-Body Systems

+1

W

Assistant Professor

Electrical Engineering and Computer Science

Oregon State University

Networking and Computer Systems

Parallel Computing and Optimization Techniques

Advanced Data Storage Technologies

Model Reduction and Neural Networks

+2

C

C. David Sherrill

Interim Executive Director, Institute for Data

College of Computing

Georgia Institute of Technology

Advanced Chemical Physics Studies

Crystallography and Molecular Interactions

Machine Learning in Materials Science

Molecular Spectroscopy and Structure

+1

S

Surya Kalidindi

Regents' Professor, Joint with the George W

College of Computing

Georgia Institute of Technology

Advanced Electron Microscopy Techniques and Applications

Effects and Risks of Endocrine Disrupting Chemicals

Machine Learning in Materials Science

Polymer Crystallization and Properties

+1

A

Ahmed Bin Zaman

Assistant Professor (Teaching), Department of Computer Science

Computer Science

George Mason University

Evolutionary Algorithms, Computational Biology and Bioinformatics, Artificial Intelligence, and Machine Learning

Protein Structure and Dynamics

Computational Drug Discovery Methods

Enzyme Structure and Function

+2

R

Post Doctoral Associate Special Fac (Teaching)

Computer Science

Carnegie Mellon University

Computational Drug Discovery Methods

Genetic Diversity and Population Structure

Genomics and Phylogenetic Studies

Machine Learning in Materials Science

+1

E

Assistant Professor

Computer Science

Carnegie Mellon University

Explainable Artificial Intelligence (xai)

Machine Learning in Materials Science

Multimodal Machine Learning Applications

Natural Language Processing Techniques

+1

C

Director of CMU-Africa and Associate Dean for International Affairs-Africa - Trustee Professor of Mechanical Engineering

Computer Science

Carnegie Mellon University

Additive Manufacturing and 3D Printing Technologies

Additive Manufacturing Materials and Processes

Machine Learning in Materials Science

R

Professor

Computer Science

Boston University

Acute Myeloid Leukemia Research

Liver Physiology and Pathology

Machine Learning in Materials Science

Mesenchymal Stem Cell Research

+6

P

Professor and Associate Director for Research and Graduate Programs

Computer Science

Binghamton University

Information and Systems Security

Policy Analysis

+5