Computer Science and Engineering

The 3rd MIET 2026 was held on October 8–9, 2026, at Noakhali Science and Technology University (NSTU), bringing together researchers and academics to explore theoretical foundations, practical applications, state-of-the-art developments, and emerging research challenges in artificial intelligence and related technologies. The conference received a total of 335 research paper submissions, of which 54 papers (approximately 16%) were selected for publication through a rigorous review process. A total of 211 reviewers from 50 institutions contributed to evaluating the submitted research, reflecting the conference’s commitment to research quality and academic excellence.

Prof. Dr. Shamim Akhter, Professor, Department of Computer Science and Engineering (CSE), Ahsanullah University of Science and Technology (AUST)  delivered an invited talk in Invited Session 1 (Physical) titled “Digital Transformation & Industry 4.0 using AI-Driven Intelligent and Scalable Systems.” The session was chaired by Dr. Md. Ashikur Rahman Khan. Secretary of the Ministry of Science and Technology Md Anwar Hossain, NSTU Vice-Chancellor Prof Dr Golam Rabbani, Pro-Vice-Chancellor Prof Dr Muhammad Shafiqul Islam, Treasurer Prof Dr Md Hasan Uddin and deans of various faculties, directors of institutes, department chairmen, conference organising chair Md Iftekharul Alam Ifat, teachers, students, researchers, invited guests and journalists attended the event.

The presentation highlighted how AI-driven intelligent and scalable systems contribute to digital transformation and Industry 4.0 through smart manufacturing, industrial automation, predictive analytics, the Internet of Things (IoT), Cyber-Physical Systems (CPS), and edge computing. It also presented the research activities of the Applied Intelligence System and Information Processing (AISIP) Laboratory, particularly in AI-driven decision support and multi-agent AI systems, including intelligent hospital workflow optimization in Bangladesh and AI-enabled financial systems for an inclusive agro-economy. The talk concluded by emphasizing key challenges in deploying these technologies, including scalability, data quality, interoperability, security and privacy, ethical AI, infrastructure limitations, and sustainability, underscoring the importance of responsible and effective AI adoption across industrial and societal applications. A token of appreciation was handed to the speaker by the chief guest Md Anwar Hossain, Secretary of the Ministry of Science and Technology, Bangladesh and NSTU Vice-Chancellor Prof Dr Golam Rabbani.