Prof. A. K. M. Masum, PhD

Career Highlight:

• Professor with 21+ years of academic experience, specializing in software engineering, data science, machine learning, and FinTech.

• Senior Member of the IEEE, actively participating in other professional organizations.

• Earned a PhD from the University of Malaya, Malaysia, under the prestigious BrightSpark Scholarship Scheme; the University of Malaya is ranked 56th in the QS World University Rankings® 2027 globally.

• Academic Auditor of Bangladesh Accreditation Council, Bangladesh

• UGC Nominated Member, Quality Assurance Committee (QAC), Northern University Bangladesh, Dhaka, Bangladesh.

• Worked as Senior Research Associate, Charles Sturt University, Australia.

• Currently Director of IQAC and Dean, School of Engineering, Southeast University (SEU).

• Served in key administrative roles including Department Chairman, Master's Program Director, Assistant Proctor, and Committee Convener.

• Led BAETE and BAC Self-Assessment Report (SAR) submissions for multiple programs (CSE at IIUC; SWE at DIU).

• Interdisciplinary research expertise combining Computer Science, AI/Data Science, and Organizational Information Systems (eHRM/FinTech).

• Published over 150+ papers in high-impact WoS and Scopus-indexed journals and conferences with about 2000 citations.

• Contributed to local and international research projects as a co-researcher and co-author.

• Organized IEEE conferences; served as session chair, technical committee member, and reviewer.

• Supervised 400+ Bachelor's and 100+ Master's theses and projects.

Key Competences:

• Significant administrative experience in strategic development at the university level.

• Proven ability to design, develop, and implement OBE-focused curricula, aligning them with global standards and industry needs to ensure students acquire relevant and in-demand skills.

• Committed to fostering excellence through effective coaching, teaching, and motivating faculty members and senior students.

• Built and maintained a network of industry partnerships, facilitating internships, faculty recruitment, collaborative research projects and achieving departmental goals and KPIs.

• Extensive supervision experience for theses and projects in both Bachelor’s (over 300 students) and Master’s programs (over 50 students).

• Actively involved in organizing IEEE conferences and serving as a Track co-chair, session chair, technical committee member, and reviewer, with expertise in data science and machine learning.

• Approachable with students, while maintaining professional relationships with colleagues.