Professor Shatabda earned his Ph.D. from Griffith University in 2014, focusing on AI algorithms for protein structure prediction. He has published widely in reputed journals and conferences, served on editorial boards and review panels, and contributed to the Board of Accreditation for Engineering and Technical Education (BAETE), IEB. His international research includes a stint in BioGeM Institute, Italy. He continues to supervise research projects and mentor students, having overseen over thirty undergraduate projects and more than twenty master’s theses. Additionally, he has authored educational books for children on computing.

From 2014 to 2021, he was the Undergraduate Program Coordinator at United International University (UIU), where he significantly contributed to curriculum development and faculty mentoring. He played a key role in securing UIU’s Computer Science and Engineering department's accreditations in 2015 and 2019. Additionally, he led the Institutional Quality Assurance Cell (IQAC) at UIU from 2022 to 2023 and founded Bangladesh’s first undergraduate Data Science program. 

Please check Google Scholar Profile.

• Senior Member, Institute of Electrical and Electronics Engineers (IEEE), also member of the IEEE Signal Processing Society
• Member, The Institution of Engineers, Bangladesh (IEB)
• Director, Board of Accreditation for Engineering and Technical Education (BAETE), IEB
• Member, Quality Assurance Cell, Board of Accreditation for Engineering and Technical Education (BAETE), IEB
• Academic Editor, PLOS One
• Machine Learning Consultant, Nodes Digital Limited

• Bangla Computing Development of a Bengali document layout analysis system in the newspaper domain. Amount: BDT 495k, IAR-UIU Research Grants.
• Genome Assembly Probabilistic methods for filling gaps in genome assemblies. Amount: BDT 410k, UIU Research Grants.
• Bangla NLP Development of Deep Learning based Bangla Spell and Grammar Checker. Amount: BDT 499K, IAR-UIU Research Grants
• Image Analysis Prediction of Alzheimer’s Disease Using Deep Learning Techniques. Amount: BDT 498K, IAR-UIU Research Grants.
• Image Segmentation Semantic Biomedical Image Segmentation Using Attention Mechanism Driven Modified U-Net Based on Deep CNN. Amount: BDT 499K, IAR-UIU Research Grants.
• Pharmaceutical Chemistry Screening flavonoids for necroptosis inhibitors using machine learning and molecular dynamics simulations. Amount: BDT 499K, IAR-UIU -OR-NSU Research Grants.