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Computer Science

Computer Science

University of New Hampshire

Computer Science at University of New Hampshire has 21 faculty on GradNova.

Faculty

D
Advanced Malware Detection Techniques
Formal Methods in Verification
Security and Verification in Computing
Software Engineering Research
+1
E
Elizabeth Varki

Associate Professor Graduate Program Coordinator

Computer Science

University of New Hampshire at Manchester

L
C
Alzheimer's Disease Research and Treatments
Amyloidosis: Diagnosis, Treatment, Outcomes
Drug Transport and Resistance Mechanisms
Protein Interaction Studies and Fluorescence Analysis
+1
W
AI-Based Problem Solving and Planning
Artificial Intelligence in Games
Constraint Satisfaction and Optimization
Metaheuristic Optimization Algorithms Research
+1
J
Cancer Immunotherapy and Biomarkers
Cancer-Related Molecular Mechanisms Research
Ferroptosis and Cancer Prognosis
Microrna in Disease Regulation
+1
M
Data Visualization and Analytics
Geographic Information Systems Studies
Maritime Navigation and Safety
Spatial Cognition and Navigation
+1
M
A
Arvind Narayan

Principal Lecturer CS Undergraduate Program Coordinator

Computer Science

University of New Hampshire at Manchester

X
Astro and Planetary Science
Geological and Geochemical Analysis
Geomagnetism and Paleomagnetism Studies
Planetary Science and Exploration
+1
M
Matthew Magnusson

Senior Lecturer Analytics & Data Science Program Coordinator

Computer Science

University of New Hampshire at Manchester

M
Cancer Survivorship and Care
Frailty in Older Adults
Health Systems, Economic Evaluations, Quality of Life
Nutrition and Health in Aging
+1
K
A
L
Air Quality and Health Impacts
Asthma and Respiratory Diseases
Health, Environment, Cognitive Aging
M
Advanced Software Engineering Methodologies
Distributed Systems and Fault Tolerance
Formal Methods in Verification
Logic, Programming, and Type Systems
+1
A
Advanced Data Storage Technologies
Cloud Computing and Resource Management
Distributed Systems and Fault Tolerance
Parallel Computing and Optimization Techniques
+1
S
D
M
Reinforcement Learning in Robotics
Robot Manipulation and Learning
Social Robot Interaction and Hri
Visual Attention and Saliency Detection
+1
R