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Sparse and Compressive Sensing Techniques Research Faculty | GradNova

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Sparse and Compressive Sensing Techniques

Sparse and Compressive Sensing Techniques

58 faculty research Sparse and Compressive Sensing Techniques on GradNova.

A

Assistant Professor

Computer Science

Yale University

Advanced Bandit Algorithms Research

Markov Chains and Monte Carlo Methods

Sparse and Compressive Sensing Techniques

Statistical Methods and Inference

+1

R

Randy Paffenroth

Associate Professor

Computer Science

Worcester Polytechnic Institute

Advanced Chemical Sensor Technologies

Anomaly Detection Techniques and Applications

Neural Networks and Applications

Sparse and Compressive Sensing Techniques

+1

P

Prashant Khanduri

Assistant Professor, Computer Science

Computer Science

Wayne State University

Distributed Sensor Networks and Detection Algorithms

Privacy-Preserving Technologies in Data

Sparse and Compressive Sensing Techniques

Stochastic Gradient Optimization Techniques

+1

H

Assistant Professor, Department of Mathematics

Computer Science

University of Wisconsin–Madison

Cellular Automata and Applications

Nonlinear Dynamics and Pattern Formation

Sparse and Compressive Sensing Techniques

Stochastic Processes and Statistical Mechanics

+1

J

Jelena Diakonikolas

Assistant Professor

Computer Science

University of Wisconsin–Madison

Advanced Optimization Algorithms Research

Full-Duplex Wireless Communications

Optimization and Variational Analysis

Sparse and Compressive Sensing Techniques

+1

Y

Associate Professor

Computer Science

University of Wisconsin–Madison

Complex Network Analysis Techniques

Machine Learning and Algorithms

Sparse and Compressive Sensing Techniques

Statistical Methods and Inference

+1

Y

Associate Professor

David R. Cheriton School of Computer Science

University of Waterloo

Adversarial Robustness in Machine Learning

Domain Adaptation and Few-Shot Learning

Face and Expression Recognition

Sparse and Compressive Sensing Techniques

+1

S

Sirisha Rambhatla

Assistant Professor, Management Sciences

David R. Cheriton School of Computer Science

University of Waterloo

Adversarial Robustness in Machine Learning

Anomaly Detection Techniques and Applications

Domain Adaptation and Few-Shot Learning

Sparse and Compressive Sensing Techniques

+1

S

Assistant Professor, Management Sciences

David R. Cheriton School of Computer Science

University of Waterloo

Advanced Bandit Algorithms Research

Advanced Optimization Algorithms Research

Risk and Portfolio Optimization

Sparse and Compressive Sensing Techniques

+1

A

Professor

Computer Science

University of Victoria

Database and Knowledge-Base Systems

Formal Languages and Their Application to Databases

+4

A

Aditya Bhaskara

Associate Professor

School of Computing

University of Utah

Algorithms (approximation / Online Algorithms, Graph Algorithms)

Artificial Intelligence (ml: Theory and Modeling)

Complexity and Algorithms in Graphs

Machine Learning and Algorithms

+3

G

Professor of Electrical and Computer Engineering Professor of Computer Science

Computer Science

University of Rochester

Computer Networks

Decentralized Optimization

Graph Signal Processing

Machine Learning

+6

A

Alejandro Ribeiro

Professor

Computer Science

University of Pennsylvania

Advanced Graph Neural Networks

Complex Network Analysis Techniques

Distributed Control Multi-Agent Systems

Sparse and Compressive Sensing Techniques

+1

C

Assistant Professor

Computer Science

University of Oklahoma

Machine Learning

Face and Expression Recognition

Biometric Identification and Security

Ethics and Social Impacts of AI

+2

Q

Assistant Professor and Associate Head (Interim)

Computer Science

University of North Carolina at Greensboro

Advanced Neural Network Applications

Domain Adaptation and Few-Shot Learning

Microbial Community Ecology and Physiology

Sparse and Compressive Sensing Techniques

+1

A

Assistant Professor

Computer Science & Engineering

University of Nevada, Reno

Intelligent and Autonomous Systems

Sparse and Compressive Sensing Techniques

Generative Adversarial Networks and Image Synthesis

Solar and Space Plasma Dynamics

+2

X

Xiaoqian (Tiffany) Zhang, Ph.D.

Assistant Professor

Computer Science

University of Nebraska at Omaha

Advanced Neural Network Applications

Face and Expression Recognition

Medical Image Segmentation Techniques

Sparse and Compressive Sensing Techniques

+1

J

Joy Upton Azzam

Teaching Assistant Professor

Computer Science

University of Minnesota

Advanced Image Processing Techniques

Advanced Optimization Algorithms Research

Matrix Theory and Algorithms

Sparse and Compressive Sensing Techniques

+1

D

Professor, Distinguished University Teaching Professor

Computer Science

University of Minnesota

Face and Expression Recognition

Matrix Theory and Algorithms

Numerical Methods for Differential Equations

Sparse and Compressive Sensing Techniques

+1

A

Professor

Computer Science and Engineering

University of Michigan

AI for Chemistry

AI for Psychiatry

Machine Learning

Advanced Bandit Algorithms Research

+4

Y

Associate Professor

Computer & Information Science

University of Massachusetts Dartmouth

Advanced Image and Video Retrieval Techniques

Advanced MRI Techniques and Applications

Image Retrieval and Classification Techniques

Medical Imaging Techniques and Applications

+1

Q

Qiang (Shawn) Cheng

Associate Professor, Division of Biomedical Informatics, Department of Internal Medicine (courtesy joint appointment)

Computer Science

University of Kentucky

Blind Source Separation Techniques

Face and Expression Recognition

Remote-Sensing Image Classification

Sparse and Compressive Sensing Techniques

+1

A

Assistant Professor

Computer Science

University of Central Florida

Hydraulic Fracturing and Reservoir Analysis

Reservoir Engineering and Simulation Methods

Seismic Imaging and Inversion Techniques

Seismic Waves and Analysis

+1

A

Amrit Singh Bedi

Assistant Professor

Computer Science

University of Central Florida

Advanced Bandit Algorithms Research

Distributed Control Multi-Agent Systems

Reinforcement Learning in Robotics

Sparse and Compressive Sensing Techniques

+1