Welcome to My Homepage!

I am Md Abdullah Al Forhad, a Ph.D. candidate in Computer Science and Engineering at the University of North Texas. I conduct research in the Active Machine Learning (AML) Lab and Learning · Language · Vision (LLaVi) Lab under the supervision of Dr. Weishi Shi.

My research focuses on Deep Active Learning, Continual Lifelong Learning, and Multi-modal Learning with a passion for enhancing AI’s adaptability and performance.

View my citations and research metrics on the official Md Abdullah Al Forhad Google Scholar Profile.

News

• [August 2026] Awarded the International Travel Grant administered by International Affairs, UNT.
• [July 2026] Awarded Graduate Student Travel Award by Toulouse Graduate School (TGS), UNT.
• [Jun 2026] Abstract has been selected for the fourth annual University Research Day Poster Session!
• [May 2026] Passed Ph.D. dissertation proposal.
• [April 2026] First-authored paper on multi-modal continual learning accepted at ICML 2026, Seoul, South Korea.
• [Jan 2026] Awarded $1435 CENG award (Scholarship).
• [Nov 2025] Awarded a travel grant by the CSE Department and the College of Engineering, UNT.
• [Oct 2025] First-authored paper on active learning accepted at IEEE BigData 2025, Macau SAR, China.
• [Sep 2025] Mentoring two students in the Undergraduate Research to PhD (UR2PhD) program.
• [May 2025] Selected for the 2025–2026 International Education Scholarship by UNT International Affairs and awarded the Competitive Scholarship Waiver (CSW). Reception celebrating scholarship awardees.
• [Aug 2024] Awarded $3000 scholarship from USC CENG Schol (GR).
• [Aug 2024] Awarded a travel grant by the CSE Department and the College of Engineering, UNT.
• [Aug 2024] First-authored paper on active continual learning accepted at IEEE MIPR 2024, San Jose, CA, USA.
• [Aug 2024] Co–first-authored journal article accepted for publication.
• [2023] Passed Ph.D. qualifying requirements and became a Ph.D. Candidate.
• [2023] Joined Active Machine Learning (AML) Lab under the supervision of Dr. Weishi Shi.
• [2023] Completed organized graduate coursework in CSE and awarded Pass-Through Master’s Degree with GPA 4.00 [Video ].

Research Experience

• Graduate Research Assistant — University of North Texas, Denton, TX (Current)

Education

• Ph.D. in Computer Science and Engineering — University of North Texas, Denton, TX, (Ongoing)
• M.S. in Computer Science — University of North Texas, Denton, TX, USA
  • GPA: 4.00
  • Rank: 1 of 1391

Selected Publications

• Forhad, M. A. A., Zhu, Y., Acharya, A., Liu, X., Yu, Q., & Shi, W. (2026). Mixing Expertise with Confidence: A Mixture of Experts Framework for Robust Multi-Modal Continual Learning. Proceedings of ICML 2026. (Accepted)

• Forhad, M. A. A., Shi, W. (2025). Deep Active Re-Labeling: Toward Noise-Resilient Annotation Efficiency. IEEE BigData 2025, pp. 886–895.

• Forhad, M. A. A., Shi, W. (2024). Balancing Explanations and Adaptation in Offline Continual Learning Systems Using Active Augmented Reply. IEEE MIPR 2024, pp. 484–490.

• Yuan, C.*, Forhad, M. A. A.*, Bansal, R., Sidorova, A., & Albert, M. V. (2024). Multi-agent Dual Level Reinforcement Learning of Strategy and Tactics in Competitive Games. Results in Control and Optimization, 16, 100471.