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Binghamton University

Binghamton University

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Binghamton University has 113 faculty across 3 departments on GradNova. 40 researchers hold 42 active NSF grants totaling $27.9M.

Departments

Computer Science
Department of Electrical and Computer Engineering
Department of Mechanical Engineering

Faculty

W
Computer Networks
Formal Methods
Functional Languages
Software Engineering Research
+4
M
Madhusudhan Govindaraju

Professor, School of Computing; Vice Provost for International Education and Global Affairs (IEGA)

Computer Science

Binghamton University

Big Data Computing
Cloud Computing
Component-Based Technologies
Distributed Systems
+8
N
Bioinformatics and Computational Genomics
Machine Learning
Gene Expression and Cancer Classification
Bioinformatics and Genomic Networks
+3
K
Kartik Gopalan

Associate Dean for Research, Corporate Engagement, and Entrepreneurship; Professor, School of Computing

Computer Science

Binghamton University

Cloud Computing
Computer Networks
Computer Security
Distributed Systems
+7
K
Kanad Ghose

Distinguished Professor, Center Director

Computer Science

Binghamton University

Computer Architecture and Parallel Processing
High-Performance Computing and Communication Systems
Power-Aware Systems
Parallel Computing and Optimization Techniques
+4
D
Commutator Expansion Formulas for Solvable Groups
Microcontrollers and Image Processing
Scheduling Algorithms
Subnormality Conditions in Solvable Groups
Z
Algorithmic Fairness
Computer Security
Machine Learning
Privacy
+5
W
Biomedical Image Processing
Data Mining
Healthcare Bioinformatics
Machine Learning
+6
K
Bioinformatics
Data Mining
High-Performance Computing
Distributed and Parallel Computing Systems
+4
P
Machine Learning
Natural Language Processing
Topic Modeling
Natural Language Processing Techniques
+3
J
Autonomous Systems
Mobile Computing
Systems
Unmanned Aerial Vehicles
+5
J
Data Mining
Measurements
Social Media
Social Network Analysis
+5
T
Computer Architecture
Computer-Aided Microprocessor Design, Manufacturing and Testing
Educational Software
Operating Systems
+7
E
Formal Methods
Program Analysis
Programming Languages and Runtimes
Bayesian Modeling and Causal Inference
+4
A
Deep Learning Systems
Internet of Things
Large Language Models
Machine Learning Systems
+4
H
Combinatorial Optimization
Healthcare Informatics
Information Diffusion in Social Networks
Network Planning
+5
A
Machine Learning
Mobile Computing
Mobile Systems
Robotics and Autonomous Systems
+5
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