Haitham Y. Adarbah

Faculty Research Portfolio

Haitham Y. Adarbah

Assistant Professor of Computer Science Department of Electrical Engineering and Computer Science, Texas A&M University-Kingsville

Research in AI-driven multimodal learning, federated and edge intelligence, and secure vehicular and wireless networks.

FocusFocus areas: Federated & Edge Intelligence, Vehicular Networks & Security, AI for Healthcare, AI for Education, Applied Machine Learning & Signal Processing, Networking & Systems

Current focusFederated and multimodal AI for education and healthcare (an AI math tutor, elderly-care sensing, ECG and breast-ultrasound diagnosis), alongside continued work on Byzantine-robust federated learning and V2X/MANET network security.

Portrait of Haitham Y. Adarbah
Assistant Professor of Computer Science

Research Impact

All publications →
Total Publications
37
Journal Articles
21
Conference Papers
14
Book Chapters
2
Research Areas
6
Publications per year2010–2026
Publications per year 2010: 1, 2011: 2, 2012: 2, 2013: 3, 2014: 0, 2015: 1, 2016: 0, 2017: 1, 2018: 0, 2019: 1, 2020: 0, 2021: 0, 2022: 3, 2023: 4, 2024: 6, 2025: 3, 2026: 10 0 2 4 6 8 10 2010: 1 publications 1 2010 2011: 2 publications 2 2012: 2 publications 2 2012 2013: 3 publications 3 2014: 0 publications 0 2014 2015: 1 publications 1 2016: 0 publications 0 2016 2017: 1 publications 1 2018: 0 publications 0 2018 2019: 1 publications 1 2020: 0 publications 0 2020 2021: 0 publications 0 2022: 3 publications 3 2022 2023: 4 publications 4 2024: 6 publications 6 2024 2025: 3 publications 3 2026: 10 publications 10 2026
By publication type
Journal articles: 21, Conference papers: 14, Book chapters: 2 Journal articles: 21 Conference papers: 14 Book chapters: 2 37 PUBLICATIONS
  • Journal articles2157%
  • Conference papers1438%
  • Book chapters25%

Publication counts and charts are generated from the bibliography on this site.

Research Themes

Research overview →

Federated & Edge Intelligence

Vehicular Networks & Security

AI for Healthcare

AI for Education

Applied Machine Learning & Signal Processing

Networking & Systems

View all publications →
  1. Journal 2026
  2. Journal 2026
  3. Journal 2025
  4. Conference 2025
  5. Journal 2024