Saadman Sakib

Assistant Professor

Department of Computer Science and Engineering

Chittagong University of Engineering and Technology, Raozan-4349, Bangladesh.

Biography

I am a dedicated research fellow working at the intersection of Artificial Intelligence (AI) and Human-Computer Interaction (HCI), with a strong focus on Computer Vision, Vision Language Models (VLMs), and Large Language Models (LLMs). My research is driven by a passion for creating technology that is not only powerful but also intuitive, trustworthy, and collaborative. I aim to solve real-world challenges by developing AI systems that people can effectively work with. I have hands-on experience with leading frameworks such as Keras, PyTorch, and TensorFlow, and I am always eager to explore the latest advancements in the field. My goal is to drive the development of cutting-edge, human-centered AI solutions, leveraging my research insights to make a meaningful impact on the future of technology.

Education

Master of Science in Computer Science and Engineering

Chittagong University of Engineering & Technology, Chattogram, Bangladesh

2021 -- Current

CGPA: 3.96/4.00

Bachelor of Science in Computer Science and Engineering

Chittagong University of Engineering & Technology, Chattogram, Bangladesh

2016 -- 2021

CGPA: 3.85/4.00

Featured

September 2025:

81 Citations as per Google Scholar

My research contributions have been cited 81 times according to Google Scholar, with an h-index of 5 and an i10-index of 3, reflecting the impact and relevance of my work in the scientific community

July 2025:

Paper Presented at ICDSAIA 2025

I am excited to share that I presented my recent research paper, "A Lightweight Transformer-Based Encoder-Decoder Model for Video Summarization," at the International Conference on Data Science, Artificial Intelligence, and Applications (ICDSAIA) 2025.

February 2025:

Session Moderator – ECCE 2025

I had the privilege of serving as a Session Moderator at the 4th International Conference on Electrical, Computer, and Communication Engineering (ECCE 2025). My role involved facilitating presentations, ensuring smooth session flow, and engaging with speakers and attendees to foster meaningful discussions.

Publications

Journals

S. Hossain, K. Deb, S. Sakib, and I. H. Sarker, “A hybrid deep learning framework for daily living human activity recognition with cluster-based video summarization,” Multimedia Tools and Applications, pp. 1–54, 2024

2. A. A. Sami, S. Sakib, K. Deb, and I. H. Sarker, “Improved yolov5-based real-time road pavement damage detection in road infrastructure management,” Algorithms, vol. 16, no. 9, p. 452, 2023

3. M. W. Hridoy, M. M. Rahman, and S. Sakib, “A framework for industrial inspection system using deep learning,” Annals of Data Science, 2022

4. S. Sakib, K. Deb, P. K. Dhar, and O.-J. Kwon, “A framework for pedestrian attribute recognition using deep learning,” Applied Sciences, vol. 12, no. 2, p. 622, 2022

Conference Proceedings

1. M. M. Hasan, S. Sakib, and K. Deb, “Road damage detection and classification using deep neural network,” in 2022 4th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), IEEE, 2022, pp. 1–6

Books and Chapters

1. S. Sakib, A. Sen, and K. Deb, “A transfer learning approach to recognize pedestrian attributes,” in Applied Intelligence for Industry 4.0, Chapman and Hall/CRC, 2023, pp. 145–161

2. A. A. Sami, S. Sakib, and K. Deb, "Road Damage Detection and Classification using YOLOv7," in Intelligent Networks and Systems: Advanced Technologies and Applications, Chapman and Hall/CRC, 2025, pp. 334–348

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