Md. Sakib Bin Alam

Degree : M.Sc. in Data Science and AI,
Asian Institute of Technology (AIT), Thailand
CGPA : 3.80 / 4.0 (86-95% marks)

Degree : B.Sc. in CSE,
International Islamic University Chittagong (IIUC)
CGPA : 3.95 / 4.0

  • Assistant Professor and Head (Acting)
    Department of Information Technology
    University of Information Technology and Sciences (UITS)
    July 2024 – Present
  • Lecturer
    Asian University for Women (AUW)
    September 2018 – December 2021
  • Adjunct Lecturer
    International Islamic University Chittagong (IIUC)
    October 2017 – March 2018

Deep Learning, Data Privacy, Health Informatics, NLP

Summary

I aim to contribute to cutting-edge research using advanced machine learning and data analytics, collaborating with interdisciplinary teams to solve complex real-world problems. I aspire to create sustainable applications that enhance quality of life by integrating AI in health informatics and environmental contexts.

Google Scholar Metrics (as of June 2025)

Total Citations: 930+
h-index: 6
i10-index: 6

Journal Articles

  1. Md. Sakib Bin Alam, Aiman Lameesa et al. (2025).
    “Role of deep learning in cognitive healthcare: Wearable signal analysis, algorithms, benefits, and challenges”.
    Digital Communications and Networks (Q1, IF: 7.5)
    DOI: https://doi.org/10.1016/j.dcan.2025.04.001
  2. Md. Sakib Bin Alam, Vatcharaporn Esichaikul et al. (2025).
    “An approach for crop recommendation with uncertainty quantification based on machine learning for sustainable agricultural decision-making”.
    Results in Engineering (Q1, IF: 6)
    DOI: https://doi.org/10.1016/j.rineng.2025.105505
  3. Aiman Lameesa, Chaklam Silpasuwanchai, Md. Sakib Bin Alam* (2025).
    “VG-CALF: A Vision-Guided Cross-Attention and Late-Fusion Network for Medical Visual Question Answering with Radiology Images”.
    Neurocomputing (Q1, IF: 5.5)
    DOI: https://doi.org/10.1016/j.neucom.2024.128730
  4. Shams F. Ahmed, Md. Sakib Bin Alam et al. (2024).
    “Insights into Internet of Medical Things (IoMT): Data fusion, security issues and potential solutions”.
    Information Fusion (Q1, IF: 14.8)
    DOI: https://doi.org/10.1016/j.inffus.2023.102060
  5. Shams F. Ahmed, Md. Sakib Bin Alam et al. (2023).
    “Deep learning modelling techniques: Current progress, applications, advantages, and challenges”.
    Artificial Intelligence Review (Q1, IF: 10.7)
    DOI: https://doi.org/10.1007/s10462-023-10466-8

Conference Articles

  1. Md. Sakib Bin Alam, Aiman Lameesa (2025).
    “Text Summarization Driven by Question Answering Technique”.
    3rd International Conference on Computing Advancements (ICCA)
    DOI: https://doi.org/10.1145/3723178.3723311
    (Scopus Indexed)
  2. Md. Sakib Bin Alam, Aiman Lameesa et al. (2025).
    “A Comprehensive Study on Interaction Fidelity and Carry-over Effects in Virtual Reality Environment”.
    3rd International Conference on Computing Advancements (ICCA)
    DOI: https://doi.org/10.1145/3723178.3723212
    (Scopus Indexed)
  3. Md. Sakib Bin Alam, Muhammed J.A. Patwary, Maruf Hassan (2021).
    “Birth Mode Prediction Using Bagging Ensemble Classifier: A Case Study of Bangladesh”.
    ICICT4SD
    DOI: 10.1109/ICICT4SD50815.2021.9396909
    (Scopus Indexed)
  4. Maruf Hassan, Md. Sakib Bin Alam, Tanveer Ahsan (2018).
    “Emotion Detection from Text Using Skip-thought Vectors”.
    2nd International Conference on Innovations in Science, Engineering and Technology (ICISET)
    DOI: 10.1109/ICISET.2018.8745615
    (Scopus Indexed)

Current Role: Mr. Md. Sakib Bin Alam is currently serving as an Assistant Professor in the Department of Information Technology (IT) at the University of Information Technology and Sciences (UITS), Bangladesh. He is also the Acting Head of the Department of IT, where he guides curriculum alignment with AI and IT trends and promotes research-focused projects for students and faculty.

Previous Academic Roles: Mr. Alam has previously worked at prestigious institutions, including the Asian University for Women (AUW), where he taught computer science to women from underprivileged communities and diverse nationalities. Additionally, he served as a Teaching Assistant at the Asian Institute of Technology (AIT), supporting courses in Data Analytics and Business Intelligence.

Research Contributions: With a strong focus on Deep Learning, Data Science, NLP, and Healthcare, his work has been published in leading Q1 journals such as Information Fusion and Neurocomputing. He has a total citation count exceeding 450, with an h-index of 6. He has research collaboration with esteemed researchers from different parts of the world, such as Australia, Thailand, Hungary, and Fiji.

Awards: Mr. Alam is a recipient of the Royal Thai Government Scholarship and several academic merit awards for his exceptional performance during his academic journey.

Community Engagement: He actively contributes to the research community by reviewing for top-tier journals and conferences like Results in Engineering, Array, Future Generation Computer Systems, Internet of Things, and IEEE Access.