GradNova

Distributed Sensor Networks and Detection Algorithms

44 faculty research Distributed Sensor Networks and Detection Algorithms on GradNova.

V

Vikram Krishnamurthy

Professor

School of Electrical and Computer Engineering

Cornell University

Complex Network Analysis Techniques

Distributed Sensor Networks and Detection Algorithms

Fault Detection and Control Systems

Opinion Dynamics and Social Influence

+1

A

Professor

Department of Electrical and Computer Engineering

Colorado State University

Blind Source Separation Techniques

Direction-Of-Arrival Estimation Techniques

Distributed Sensor Networks and Detection Algorithms

Radar Systems and Signal Processing

+1

M

Professor, NSF CAREER Winner, IEEE Fellow

Electrical Engineering

Colorado School of Mines

Blind Source Separation Techniques

Distributed Sensor Networks and Detection Algorithms

Image and Signal Denoising Methods

Microwave Imaging and Scattering Analysis

+1

R

PROFESSOR

Holcombe Department of Electrical and Computer Engineering

Clemson University

Advanced Malware Detection Techniques

Distributed Sensor Networks and Detection Algorithms

Energy Efficient Wireless Sensor Networks

Internet Traffic Analysis and Secure E-Voting

+1

C

ASSOCIATE PROFESSOR

Holcombe Department of Electrical and Computer Engineering

Clemson University

Advanced Wireless Communication Techniques

Cooperative Communication and Network Coding

Distributed Sensor Networks and Detection Algorithms

Mobile Ad Hoc Networks

+1

J

Assistant Professor

Department of Electrical and Computer Engineering

Brigham Young University

Advanced MIMO Systems Optimization

Advanced Wireless Communication Techniques

Distributed Sensor Networks and Detection Algorithms

Error Correcting Code Techniques

+1

V

Vivek Goyal, PhD

Professor (ECE)

Department of Electrical and Computer Engineering

Boston University

Advanced Data Compression Techniques

Advanced Optical Sensing Technologies

Distributed Sensor Networks and Detection Algorithms

Image and Signal Denoising Methods

+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

G

Professor of Electrical and Computer Engineering; Professor of Computer Science; Asaro Biggar Family Fellow in Data Science; Associate Director, Goergen Institute for Data Science and Artificial Intelligence

Department of Electrical and Computer Engineering

University of Rochester

Computer Networks

Decentralized Optimization

Graph Signal Processing

Machine Learning

+6

A

Ali Reza Pedram

Assistant Professor

Computer Science

University of Oklahoma

Autonomous Systems and Decision Making

Generative AI and Diffusion Models

Machine Learning and Reinforcement Learning

Optimization and Control

+6

A

John H. Holland Distinguished University Professor of EECS; R. Jamison and Betty Williams Professor of Engineering; Professor, EECS – Electrical and Computer Engineering; Professor (courtesy), Biomedical Engineering; EECS – Computer Science and Engineering; Statistics

Department of Electrical and Computer Engineering

University of Michigan

Theory and Algorithms Underlying Data Science and Machine Learning. Theory Includes Applied Probability, Statistical Modeling, and Optimization. Applications Include Complex Networks, Spatio-Temporal Processes, Computational Biology, Personalized Health, and Security.

Sparse and Compressive Sensing Techniques

Distributed Sensor Networks and Detection Algorithms

Statistical Methods and Inference

+2

A

Alexander Ihler

Professor

Computer Science

University of California, Irvine

Bayesian Modeling and Causal Inference

Distributed Sensor Networks and Detection Algorithms

Error Correcting Code Techniques

Gaussian Processes and Bayesian Inference

+1

L

Professor

Department of Electrical and Computer Engineering

University of California, Davis

Chaos-Based Image/signal Encryption

Cooperative Communication and Network Coding

Distributed Sensor Networks and Detection Algorithms

Sparse and Compressive Sensing Techniques

+1

P

Associate Professor

Computer Science

Temple University

Machine Learning

Target Tracking and Data Fusion in Sensor Networks

Robotics and Sensor-Based Localization

+3

A

Professor (ECSE & CS) and Associate Dean for Academic Affairs

Department of Electrical, Computer, and Systems Engineering (ECSE)

Rensselaer Polytechnic Institute

Information Theory

Machine Learning

Statistical Signal Processing

Advanced MIMO Systems Optimization

+4

D

Dr. Venkata Sriram Siddhardh Nadendla

Associate Professor and Associate Chair for Research

Computer Science

Missouri University of Science and Technology

Cyber-Physical-Human Systems

Nudge & Persuasion

Security, Fairness, Transparency and Trust

Statistical Inference & Machine Learning

+5

S

John L. Loeb Associate Professor of Engineering and Applied Sciences

Computer Science

Harvard University

Traffic Control and Management

Transportation and Mobility Innovations

Vehicle Routing Optimization Methods

Distributed Control Multi-Agent Systems

+4

V

Venkatesh Saligrama, PhD

Professor (ECE, SE Appointed)

Department of Electrical and Computer Engineering

Boston University

Distributed Sensor Networks and Detection Algorithms

Domain Adaptation and Few-Shot Learning

Machine Learning and Algorithms

Sparse and Compressive Sensing Techniques

+1

A

Alexander Olshevsky, PhD

Professor (ECE, SE Appointed)

Department of Electrical and Computer Engineering

Boston University

Advanced Memory and Neural Computing

Complexity and Algorithms in Graphs

Distributed Control Multi-Agent Systems

Distributed Sensor Networks and Detection Algorithms

+1

U

Professor

Computer Science

Consumer Behavior in Brand Consumption and Identification

Customer Service Quality and Loyalty

Digital Marketing and Social Media

Global Financial Crisis and Policies

+6