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Carnegie Mellon University

Carnegie Mellon University

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Carnegie Mellon University has 486 faculty across 1 departments on GradNova. 93 researchers have received 117 NSF grants totaling $81.4M.

Departments

Computer Science

Faculty

J
M
C
Historical Studies of British Isles
Innovative Human-Technology Interaction
Medieval Literature and History
Mobile Health and Mhealth Applications
+1
X
Cryospheric Studies and Observations
Earthquake and Tectonic Studies
Geological and Geochemical Analysis
Geological and Geophysical Studies
+1
H
Cancer-Related Molecular Mechanisms Research
Electrocatalysts for Energy Conversion
Immune Cell Function and Interaction
Immunotherapy and Immune Responses
+1
C
Career Development and Diversity
COVID-19 and Mental Health
Engineering Education and Curriculum Development
Innovative Teaching and Learning Methods
+1
A
Emergency and Acute Care Studies
Human-Automation Interaction and Safety
Occupational Health and Safety Research
R
3D Surveying and Cultural Heritage
Flood Risk Assessment and Management
Hydrology and Sediment Transport Processes
Remote Sensing and Lidar Applications
F
J
Multimodal Machine Learning Applications
Reinforcement Learning in Robotics
Social Robot Interaction and Hri
J
J
Advanced Data Storage Technologies
Computational Physics and Python Applications
Distributed Systems and Fault Tolerance
Logic, Programming, and Type Systems
+1
S
Environmental Education and Sustainability
Health Disparities and Outcomes
Impact of Technology on Adolescents
Meta-Analysis and Systematic Reviews
+1
E
A
Algorithms and Data Compression
Natural Language Processing Techniques
Topic Modeling
A
L
Advanced Software Engineering Methodologies
Service-Oriented Architecture and Web Services
Software Engineering Research
Software Engineering Techniques and Practices
+1
F
R
Roshni Bhatt

Post Doctoral Associate Special Fac (Teaching)

Computer Science

Carnegie Mellon University

Computational Drug Discovery Methods
Genetic Diversity and Population Structure
Genomics and Phylogenetic Studies
Machine Learning in Materials Science
+1
A
Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
Natural Language Processing Techniques
Topic Modeling
+1
K
S
E
3D Shape Modeling and Analysis
Aesthetic Perception and Analysis
Computer Graphics and Visualization Techniques
Generative Adversarial Networks and Image Synthesis
+1
M
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