Official Job Title
Professor
Endowed Chair and Professorships Titles
John and Marilu McCarty Chair of Electrical Engineering
Email Address
Telephone
Office Building
Cent
Office Room Number
5224
Technical Interest Group(s)
Biography

Prof. AlRegib is currently the John and Marilu McCarty Chair Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. His group is the Omni Lab for Intelligent Visual Engineering and Science (OLIVES) at Georgia Tech. In 2012, he was named the Director of Georgia Tech’s Center for Energy and Geo Processing (CeGP). He is the director of the Center for Signal and Information Processing (CSIP). He also served as the Director of Georgia Tech’s Initiatives and Programs in MENA between 2015 and 2018. He has authored and co-authored more than 270 articles in international journals and conference proceedings. He has been issued several U.S. patents and invention disclosures. He is a Fellow of the IEEE.

Prof. AlRegib received the ECE Outstanding Graduate Teaching Award in 2001 and both the CSIP Research and the CSIP Service Awards in 2003. In 2008, he received the ECE Outstanding Junior Faculty Member Award. In 2017, he received the 2017 Denning Faculty Award for Global Engagement. He and his students received the Beat Paper Award in ICIP 2019. 

Prof. AlRegib participated in a number of activities. He was Technical Program co-Chair for ICIP 2020 and ICIP 2024. He served as a member, for two terms, of the IEEE SPS Technical Committees on Multimedia Signal Processing (MMSP) and Image, Video, and Multidimensional Signal Processing (IVMSP), 2015-2017 and 2018-2020. He served on the Editorial Boards of both the IEEE Transactions on Image Processing (TIP), 2019-2022, and the Elsevier Journal Signal Processing: Image Communications, 2014-2022. He was a member of the editorial board of the Wireless Networks Journal (WiNET), 2009-2016 and the IEEE Transaction on Circuits and Systems for Video Technology (CSVT), 2014-2016. He was an Area Chair for ICME 2016/17 and the Tutorial Chair for ICIP 2016. He served as the chair of the Special Sessions Program at ICIP’06, the area editor for Columns and Forums in the IEEE Signal Processing Magazine (SPM), 2009–12, the associate editor for IEEE SPM, 2007-09, the Tutorials co-chair in ICIP’09, a guest editor for IEEE J-STSP, 2012, a track chair in ICME’11, the co-chair of the IEEE MMTC Interest Group on 3D Rendering, Processing, and Communications, 2010-12, the chair of the Speech and Video Processing Track at Asilomar 2012, and the Technical Program co-Chair of IEEE GlobalSIP, 2014. He lead a team that organized the inaugural IEEE VIP Cup in 2017, and the IEEE VIP Cup in 2023.

In the Omni Lab for Intelligent Visual Engineering and Science (OLIVES), he and his group work on robust and interpretable machine learning algorithms, uncertainty and trust, and human in the loop algorithms. The group has demonstrated their work on a wide range of applications such as Autonomous Systems, Medical Imaging, and Subsurface Imaging. The group is interested in advancing the fundamentals as well as the deployment of such systems in real-world scenarios. His research group is working on projects related to machine learning, image and video processing, image and video understanding, subsurface imaging, perception in visual data processing, healthcare intelligence, and video analytics. The primary applications of the research span from Autonomous Vehicles to Portable AI-based Ophthalmology and Eye Exam and from Microscopic Imaging to Seismic Interpretation. The group has been a leader in developing modern machine learning for seismic interpretation. The team has created a number of open-source datasets. 

Prof. AlRegib has provided services and consultation to several firms, companies, and international educational and R&D organizations. He has been a witness expert in a number of patents infringement cases.

Education

Ph.D., Electrical & Computer Engineering, Georgia Institute of Technology, 2003

Research Interests

AlRegib’s research focuses on signal processing and machine learning. His work involves developing algorithms for audio, image, and video understanding, including pattern recognition and data analytics. He works on robust and interpretable ML algorithms, uncertainty modeling, multimodal learning, and human-in-the-loop algorithms, with applications in autonomous systems, medical imaging, and subsurface imaging.

Teaching Interests

AlRegib’s teaching interests include signal processing, machine learning, and multimedia topics at both undergraduate and graduate levels. He emphasizes foundational concepts and practical applications, aiming to equip students with analytical and computational skills essential for modern ECE challenges.

Distinctions & Awards
  • IEEE Fellow 2022 
  • 2023 EURASIP Best Paper Award for IMAGE COMMUNICATION Journal, “TS-LSTM and temporal-inception: Exploiting spatiotemporal dynamics for activity recognition”
  • 2019 Best Paper Award, IEEE International Conference on Image Processing (ICIP) 
  • Best Video Presentation of a Special Session Paper, IEEE ICIP 2020 
  • Selected among the 2018 Faces of Inclusive Excellence at Georgia Tech, 2018
  • Received the 2017  Steven A. Denning Faculty Award for Global Engagement 
  • Outstanding Junior Faculty Member Award, School of Electrical and Computer Engineering, Georgia Institute of Technology, 2008
  • Outstanding Graduate Teaching Assistant Award, School of Electrical and Computer Engineering, Georgia Institute of Technology, 2000-2003
  • Center for Signal and Image Processing (CSIP) Outstanding Research Award, School of Electrical and Computer Engineering, Georgia Institute of Technology, Spring 2003
  • Center for Signal and Image Processing (CSIP) Outstanding Service Award, School of Electrical and Computer Engineering, Georgia Institute of Technology, Spring 2003
Publications
  • Effective Data Selection for Seismic Interpretation (2024)
  • Hierarchical and Multimodal Data for Daily Activity Understanding (2025)
  • VOICE: Quantifying Uncertainty in Neural Network Interpretability (2024)
  • Countering Multimodal Representation Collapse through Rank-Targeted Fusion (2025)
  • Transitional Uncertainty with Layered Intermediate Predictions (2024)