Scholar
Ghassan AlRegib
Google Scholar ID: 7k5QSdoAAAAJ
School of Electrical and Computer Engineering, Georgia Tech
Machine Learning
Image and Video Processing
Perception and Scene Understanding
Computational
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Citations & Impact
All-time
Citations
5,618
H-index
36
i10-index
107
Publications
20
Co-authors
40
list available
Contact
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Publications
11 items
BALD-SAM: Disagreement-based Active Prompting in Interactive Segmentation
2026
Cited
0
Gradient based Severity Labeling for Biomarker Classification in OCT
2026
Cited
0
Scale-Aware Self-Supervised Learning for Segmentation of Small and Sparse Structures
2026
Cited
0
Countering Multi-modal Representation Collapse through Rank-targeted Fusion
2025
Cited
0
Subject Invariant Contrastive Learning for Human Activity Recognition
2025
Cited
0
Multi-level and Multi-modal Action Anticipation
2025
Cited
0
AdaDim: Dimensionality Adaptation for SSL Representational Dynamics
2025
Cited
0
A Large-scale Benchmark on Geological Fault Delineation Models: Domain Shift, Training Dynamics, Generalizability, Evaluation and Inferential Behavior
2025
Cited
0
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Resume (English only)
Academic Achievements
Authored/co-authored over 230 publications in international journals and conferences
Holder of multiple U.S. patents and invention disclosures
IEEE Senior Member
ECE Outstanding Graduate Teaching Award (2001)
CSIP Research and Service Awards (2003)
ECE Outstanding Junior Faculty Member Award (2008)
2017 Denning Faculty Award for Global Engagement
Technical Program Co-Chair for ICIP 2020 in Abu Dhabi
Elected member of IEEE SPS Technical Committees on MMSP (2015–2017) and IVMSP (2018–2020)
Serves on editorial boards of IEEE Transactions
Background
Professor in the School of Electrical and Computer Engineering at Georgia Institute of Technology
Director of the Omni Lab for Intelligent Visual Engineering and Science (OLIVES) at Georgia Tech
Research focuses on machine learning with a human-centric approach to data-driven systems
Applications include image/video processing, seismic imaging, healthcare intelligence, and video analytics
Key application domains: autonomous vehicle perception, ophthalmology, seismic interpretation, and trustworthy neural networks
Promotes 'Humans in the Loop' framework, integrating domain experts across AI development lifecycle
Co-authors
40 total
Mohit Prabhushankar
Georgia Institute of Technology
Co-author 2
Haibin Di
Senior Data scientist, SLB
Co-author 4
Co-author 5
Co-author 6
Co-author 7
Zsolt Kira
Associate Professor, Georgia Institute of Technology
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