GradNova

Machine Learning and Algorithms

208 faculty research Machine Learning and Algorithms on GradNova.

F

Florent Avellaneda

Computer Science

Université du Québec à Montréal

Optimisation Combinatoire

Formal Methods in Verification

+4

I

Professeure titulaire

Computer Science

Université de Montréal

Bayesian Modeling and Causal Inference

+3

G

Guillaume Rabusseau

Professeur agrégé

Computer Science

Université de Montréal

Machine Learning

Tensor Decomposition and Applications

Machine Learning and Algorithms

+3

U

Professor Department of Aerospace Engineering and Engineering Mechanics, W.A. “Tex” Moncrief, Jr. Chair in Computational Engineering and Sciences VI

Department of Electrical and Computer Engineering

The University of Texas at Austin

Advanced Control Systems Optimization

Adversarial Robustness in Machine Learning

Formal Methods in Verification

Machine Learning and Algorithms

+1

C

Constantine Caramanis

Professor

Department of Electrical and Computer Engineering

The University of Texas at Austin

Advanced MIMO Systems Optimization

Advanced Wireless Network Optimization

Machine Learning and Algorithms

Sparse and Compressive Sensing Techniques

+1

S

Professor, Bettie Margaret Smith Professor of Engineering

Department of Electrical and Computer Engineering

The University of Texas at Austin

Machine Learning and Algorithms

Optimization and Search Problems

Sparse and Compressive Sensing Techniques

Statistical Methods and Inference

+1

E

Associate Professor

Computer Science

The University of Texas at Austin

Theoretical Computer Science

Sparse and Compressive Sensing Techniques

Machine Learning and Algorithms

Complexity and Algorithms in Graphs

+2

A

Director of AI Initiatives for the School of Computing, Professor, Admiral B. R. Inman Centennial Chair in Computing Theory #2

Computer Science

The University of Texas at Austin

Machine Learning

Theoretical Computer Science

Machine Learning and Algorithms

Complexity and Algorithms in Graphs

+3

S

Professor, Professorship in Computer Sciences #2

Computer Science

The University of Texas at Austin

Theoretical Computer Science

Complexity and Algorithms in Graphs

Computational Geometry and Mesh Generation

Topological and Geometric Data Analysis

+2

S

Supartha Podder

Assistant Professor

Computer Science

Stony Brook University

Analysis of Boolean Functions

Complexity Theory

Quantum Computing

Quantum Cryptography

+5

H

Hedayat Zarkoob

Lecturer

Computer Science

Simon Fraser University

Intelligent Tutoring Systems and Adaptive Learning

Machine Learning and Algorithms

Online Learning and Analytics

Software Engineering Research

+1

I

Associate Professor

Computer Science

Simon Fraser University

Advanced Graph Theory Research

Complexity and Algorithms in Graphs

Cryptography and Data Security

Limits and Structures in Graph Theory

+1

O

Professor | School Director

Computer Science

Simon Fraser University

Advanced Graph Neural Networks

Bayesian Modeling and Causal Inference

Data Mining Algorithms and Applications

Machine Learning and Algorithms

+1

K

Professor / Graduate Chair

Computer Science

Queen's University

Algorithms and Data Compression

DNA and Biological Computing

Logic, Programming, and Type Systems

Machine Learning and Algorithms

+1

A

Assistant Professor

Computer Science and Engineering

Pennsylvania State University

Adversarial Robustness in Machine Learning

Cloud Computing and Resource Management

Explainable Artificial Intelligence (xai)

Machine Learning and Algorithms

+1

L

Lisa Hellerstein

Professor of Computer Science and Engineering

Computer Science

New York University

Algorithms and Data Compression

Complexity and Algorithms in Graphs

Machine Learning and Algorithms

Machine Learning and Data Classification

+1

A

Aaron Bernstein

Charles S. Baylis Associate Professor of Computer Science and Engineering

Computer Science

New York University

Advanced Graph Theory Research

Complexity and Algorithms in Graphs

Cryptography and Data Security

Machine Learning and Algorithms

+1

R

Professor

Massachusetts Institute of Technology

Advanced Graph Theory Research

Complexity and Algorithms in Graphs

Cryptography and Data Security

Machine Learning and Algorithms

+1

R

Professor

Massachusetts Institute of Technology

Algorithms and Data Compression

Evolutionary Algorithms and Applications

Machine Learning and Algorithms

R

Ronitt Rubinfeld

Professor

Massachusetts Institute of Technology

Advanced Graph Theory Research

Algorithms and Data Compression

Complexity and Algorithms in Graphs

Machine Learning and Algorithms

+1

R

Ronald L. Rivest

Institute Professor

Massachusetts Institute of Technology

Algorithms and Data Compression

Chaos-Based Image/signal Encryption

Cryptography and Data Security

Internet Traffic Analysis and Secure E-Voting

+1

A

Norbert Wiener Professor

Massachusetts Institute of Technology

Bayesian Modeling and Causal Inference

Complexity and Algorithms in Graphs

Machine Learning and Algorithms

Markov Chains and Monte Carlo Methods

+1

M

Associate Professor

Massachusetts Institute of Technology

Advanced Neural Network Applications

Adversarial Robustness in Machine Learning

Formal Methods in Verification

Machine Learning and Algorithms

+1

E

Evangelos Triantaphyllou

Professor

Computer Science

Louisiana State University

Computer-Aided Decision Making

Data Mining Discrete Optimization

Discrete Optimization

+7

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