Md Shakib Hasan
韩文韬
| Born | 17 November 2002 Bangladesh |
|---|---|
| Nationality | Bangladeshi |
| Other names | 韩文韬 |
| Education | M.S. Computer Technology Central China Normal University B.E. Electronic Information Eng. China West Normal University |
| Occupation | Educational Researcher |
| Known for | AI in Education (AIED), NSDT framework, StrucIn‑X |
| Awards | Chinese Government Scholarship Sichuan Provincial Scholarship |
| Website | aiedtech.forum/shakib |
Md Shakib Hasan (Chinese: 韩文韬; born 17 November 2002) is a Bangladeshi computer scientist and researcher specializing in Artificial Intelligence in Education (AIED). He is known for his work on explainable AI for student dropout prediction, the Neuro‑Symbolic Didactic Transposition (NSDT) framework, and the StrucIn‑X diagnostic tool for mathematics education. He currently pursues a Master of Science in Computer Technology at Central China Normal University as a Chinese Government Scholarship recipient.
Early life and education
Md Shakib Hasan was born on 17 November 2002 in Bangladesh. He moved to China for higher education and earned his Bachelor of Science in Electronic Information Engineering from China West Normal University (CWNU) (2021–2025). He graduated with a final grade of 87.2% (GPA: 3.63/4.0), receiving the Sichuan Provincial Government Scholarship and the Best Graduate designation. His undergraduate thesis, “Optimizing Traffic Sign Recognition Systems for Autonomous Vehicles Using Deep Learning”, focused on SSD-MobileNet v2 architectures.
In September 2025, Hasan was awarded the prestigious Chinese Government Scholarship (CSC) by the Ministry of Education of the People’s Republic of China to pursue a Master of Science in Computer Technology at Central China Normal University (CCNU) in Wuhan, within the Faculty of Artificial Intelligence in Education.
Career and research
Hasan founded the AIEDTech Research Forum in March 2023, a personal research initiative applying statistical modeling and data visualization to educational datasets. He has published two Q1 journal articles as first author and one IEEE conference paper. From June to December 2024, he completed an R&D internship at Nanchong Chuangnian 3D Technology Co., Ltd., contributing to embedded system prototyping and technical documentation.
His research sits at the intersection of machine learning interpretability, edge computing, and pedagogical innovation. Notable contributions include early student dropout prediction models with fairness constraints and interpretable structural analysis for mathematics skill identification.
Neuro‑Symbolic Didactic Transposition (NSDT)
Hasan conceptualized the Neuro‑Symbolic Didactic Transposition framework, which maps formal expert knowledge into structured pedagogical instruction. The framework integrates symbolic reasoning with neural learning to enable adaptive curriculum design, bridging the gap between domain expertise and student‑centric learning pathways.
StrucIn‑X
StrucIn‑X is a diagnostic framework for zero‑shot skill identification in mathematics education using interpretable structural primitives. It allows for adaptive interventions without requiring labeled skill data, addressing challenges in personalized learning environments.
Selected publications
- Harnessing blockchain for emotion identification: A novel edge-compatible privacy-preserving framework (2026) – Journal of King Saud University – Computer and Information Sciences (Springer Nature).
- The Adaptive Lab Mentor (ALM): An AI-Driven IoT Framework for Real-Time Personalized Guidance in Hands-On Engineering Education (2025) – Sensors (MDPI), 25(24), 7688.
- A Century of Educational Technology from Standardization to Co-Creation and the Epistemological Rupture of Artificial Intelligence (2026) – Discover Education (Springer Nature).
- Optimizing Traffic Sign Recognition for Autonomous Vehicles Using SSD-MobileNet v2 (2025) – 10th International Conference on Information Science, Computer Technology and Transportation (ISCTT), IEEE.
Honours and awards
- Chinese Government Scholarship (CSC) – Ministry of Education, P.R. China (2025)
- Sichuan Provincial Government Scholarship (2021)
- Best Research Student Award – China West Normal University (2024)
- Best Graduate Designation – Batch 2021, CWNU (2025)
Professional memberships
Hasan is an active IEEE Student Member (Wuhan Section) and participates in ICAN, an academic association for research students. He holds HSK Level 4 certification in Chinese language proficiency.
References
- "Md Shakib Hasan – AIEDTech Research Forum". aiedtech.forum. Retrieved 15 June 2026.
- Central China Normal University – Faculty of Artificial Intelligence in Education. "Graduate Researcher Profile". 2025.
- China West Normal University – Outstanding Graduate List, Batch 2021.
- Chinese Government Scholarship (CSC) Awardee List, 2025. Ministry of Education, P.R. China.
- ORCID Researcher Profile.