Md. Sabab Zulfiker

Experience

Other Experiences

1. HRI'25: Served as a reviewer for the 20th IEEE/ACM International Conference on Human-Robot Interaction, Melbourne, Australia (Rank: A).

2. CNS Spectrums: Served as a reviewer for CNS Spectrums, which is a journal of Cambridge University Press.

3. Scientific Reports: Served as a reviewer for Scientific Reports, which is part of Springer Nature.

4. Discover Sustainability: Served as a reviewer for Discover Sustainability, which is part of Springer Nature.

5. Discover Computing: Served as a reviewer for Discover Computing, which is part of Springer Nature.

6. Discover Applied Sciences: Served as a reviewer for Discover Applied Sciences, which is part of Springer Nature.

7. Journal of Ambient Intelligence and Humanized Computing: Served as a reviewer for Journal of Ambient Intelligence and Humanized Computing which is part of Springer Nature.

8. BMC Public Health: Served as a reviewer for BMC Public Health which is part of Springer Nature.

9. Heliyon: Served as a reviewer for Heliyon which is a part of the Cell Press family..

10. Current Research in Behavioral Sciences: Served as a reviewer for Current Research in Behavioral Sciences (CRBS), Elsevier journal.

11. Concurrency and Computation: Practice and Experience: Served as a reviewer for Concurrency and Computation: Practice and Experience, Wiley journal.

12. ICEFronT2026: Served as a reviewer for the 2026 International Conference on Engineering and Frontier Technologies, MBSTU, Bangladesh.

13. MIET'24: Served as a reviewer for the 2nd International Conference on Machine Intelligence and Emerging Technologies, Noakhali Science and Technology University (NSTU), Springer, Bangladesh.

14. IC4IR'21: Served as a judge for the Mujib 100 Idea Contest 2021, organized by the University Grants Commission (UGC) of Bangladesh, as part of the 4th Industrial Revolution and Beyond (IC4IR 2021) conference.

15. MIDAS'21: Served as co-convener for the International Conference on Machine Intelligence and Data Science Applications (MIDAS 2021), Springer, Comilla University, Cumilla, Bangladesh.

Research Interests

Research Profiles

• Google Scholar
• ResearchGate
• ORCID

Journal Article (8)

1. Identifying Suicidal Ideations from Social Media Posts Using Deep Learning and Explainable AI-Driven Approach

   Md. Sabab Zulfiker, Nasrin Kabir, Al Amin Biswas, Md. Mashih Ibn Yasin Adan, Mohammad Shorif Uddin

   Applied Soft Computing, No. 113813, August 2025. (WoS, Scopus, Q1, Impact Factor 6.6) 2025 DOI

2. Analyzing the public sentiment on COVID-19 vaccination in social media: Bangladesh context

   Md. Sabab Zulfiker, Nasrin Kabir, Al Amin Biswas, Sunjare Zulfiker, and Mohammad Shorif Uddin

   Array, vol. 15, p. 100204, Sep. 2022, (WoS, Scopus, Q1, Impact Factor 4.5) 2022 DOI

3. An in-depth analysis of machine learning approaches to predict depression

   Md. Sabab Zulfiker, Nasrin Kabir, Al Amin Biswas, Tahmina Nazneen, and Mohammad Shorif Uddin

   Current Research in Behavioral Sciences, vol. 2, p. 100044, Nov. 2021, (Scopus, Q2, Impact Factor 2.0) 2021 DOI

4. Predicting Students’ Performance of the Private Universities of Bangladesh using Machine Learning Approaches

   Md. Sabab Zulfiker, Nasrin Kabir, Al Amin Biswas, Partha Chakraborty, and Md. Mahfujur Rahman

   IJACSA, vol. 11, no. 3, 2020, (WoS, Scopus, Q3) 2020 DOI

5. A real-time application-based convolutional neural network approach for tomato leaf disease classification

   Showmick Guha Paul, Al Amin Biswas, Arpa Saha, Md. Sabab Zulfiker, Nadia Afrin Ritu, Ifrat Zahan, Mushfiqur Rahman, Mohammad Ashraful Islam

   Array, vol. 19, p. 100313, Sep. 2023, (WoS, Scopus, Q1, Impact Factor 4.5) 2023 DOI

6. Combating Covid-19 using machine learning and deep learning: Applications, challenges, and future perspectives

   Showmick Guha Paul, Arpa Saha, Al Amin Biswas, Md. Sabab Zulfiker, Mohammad Shamsul Arefin, Md Mahfujur Rahman, Ahmed Wasif Reza

   Array, vol. 17, p. 100271, Mar. 2023, (WoS, Scopus, Q1, Impact Factor 4.5) 2023 DOI

7. Bifurcations and optimal control in Nipah virus epidemiology

   Zasmin Haque, Md Mashih Ibn Yasin Adan, Md Sabab Zulfiker, Faizunnesa Khondaker, Md Kamrujjaman

   PLoS One 21(3): e0342764. (WoS, Scopus, Q1, Impact Factor 3.2) 2026 DOI

8. Automated classification of diseased cauliflower: a feature-driven machine learning approach

   Mala Rani Barman, Al Amin Biswas, Marjia Sultana, Aditya Rajbongshi, Md. Sabab Zulfiker, Tasnim Tabassum

   TELKOMNIKA (Telecommunication Computing Electronics and Control), vol. 22, no. 4, 2024, pp. 887-896, (Scopus) 2024 DOI

Conference Proceedings (13)

1. Data Privacy and Security Analysis for Mental Health Chatbot Applications

   Al Amin Biswas, Md. Sabab Zulfiker, Md. Mahfujur Rahman, Md. Rafsan Jani, and Md Musfique Anwar

   20th IEEE/ACM International Conference on Human-Robot Interaction (HRI 2025), Melbourne, Australia (Rank: A), January, 2025. [Flagship conference in the field of Human-Robot Interaction] 2025

2. Predicting Insomnia Using Multilayer Stacked Ensemble Model

   Md. Sabab Zulfiker, Nasrin Kabir, Al Amin Biswas, and Partha Chakraborty

   in Advances in Computing and Data Sciences, vol. 1440, M. Singh, V. Tyagi, P. K. Gupta, J. Flusser, T. Ören, and V. R. Sonawane, Eds. Cham: Springer International Publishing, 2021, pp. 338–350 2021 DOI

3. Sentiment Analysis Based on Users’ Emotional Reactions About Ride-Sharing Services on Facebook and Twitter

   Md. Sabab Zulfiker, Nasrin Kabir, Hafsa Moontari Ali, Mohammad Reduanul Haque, Morium Akter, and Mohammad Shorif Uddin

   in Proceedings of International Joint Conference on Computational Intelligence, M. S. Uddin and J. C. Bansal, Eds. Singapore: Springer Singapore, 2020, pp. 397–408 2020 DOI

4. Feature Ranking Based Carrot Disease Recognition Using MIFS Method

   Al Amin Biswas, Md. Sabab Zulfiker, Aditya Rajbongshi, Md. Jueal Mia, and Anup Majumder

   in Hybrid Intelligent Systems, vol. 420, A. Abraham, P. Siarry, V. Piuri, N. Gandhi, G. Casalino, O. Castillo, and P. Hung, Eds. Cham: Springer International Publishing, 2022, pp. 56–68 2022 DOI

5. A Comprehensive Review of Machine Learning and Deep Learning Techniques for Rice Leaf Disease Classification

   Tasnim Tabassum, Shifat Ara Rafiq, Md Sabab Zulfiker, Nadia Afrin Ritu, Al Amin Biswas

   In: Das, A.K., Nayak, J., Naik, B., Himabindu, M., Vimal, S., Pelusi, D. (eds) Computational Intelligence in Pattern Recognition. CIPR 2024. Lecture Notes in Networks and Systems, vol 1152. Springer, Singapore 2024 DOI

6. Detecting Helmets Of The Bike Riders Using Deep Learning Algorithms

   Yousuf Mia, Md Solaimanur Rahman, Animesh Basak, Sheikh Mufrad Hossain, Md. Sabab Zulfiker, Merina Akter Sumaia

   in 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-6. IEEE, 2023 2023 DOI

7. Stock Market Prediction: A Time Series Analysis

   Anup Majumder, Md. Mahbubur Rahman, Al Amin Biswas, Md. Sabab Zulfiker, and Sarnali Basak

   in Smart Systems: Innovations in Computing, vol. 235, A. K. Somani, A. Mundra, R. Doss, and S. Bhattacharya, Eds. Singapore: Springer Singapore, 2022, pp. 389–401 2022 DOI

8. Career Prediction with Analysis of Influential Factors Using Data Mining in the Context of Bangladesh

   Al Amin Biswas, Anup Majumder, Md. Jueal Mia, Rabeya Basri, and Md. Sabab Zulfiker

   in Proceedings of International Conference on Trends in Computational and Cognitive Engineering, vol. 1309, M. S. Kaiser, A. Bandyopadhyay, M. Mahmud, and K. Ray, Eds. Singapore: Springer Singapore, 2021, pp. 441–451 2021 DOI

9. Abu Sayed, Sabab Zulfiker, Priyanka Paul, Md

   Partha Chakraborty, Sabakun Nahar Tafhim, Mahmuda Khatun, Md

   Farhad Hossain, Tanupriya Choudhury, (2022). Detection of Copy–Move Image Forgery Applying Robust Matching with K-D Tree Sorting. In: Gupta, D., Goswami, R.S., Banerjee, S., Tanveer, M., Pachori, R.B. (eds) Pattern Recognition and Data Analysis with Applications. Lecture Notes in Electrical Engineering, vol 888. Springer, Singapore. 2022 DOI

10. Primary Stage of Diabetes Prediction using Machine Learning Approaches

    Minhaz Uddin Emon, Maria Sultana Keya, Md. Salman Kaiser, Md. Ariful islam, Tabassum Tanha, Md. Sabab Zulfiker

    in 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS), Coimbatore, India, Mar. 2021, pp. 364–367 2021 DOI

11. Comparison of Different Machine Learning Algorithms for Detecting Bankruptcy

    Maria Sultana Keya, Himu Akter, Md. Atiqur Rahman, Md. Mahbobur Rahman, Minhaz Uddin Emon, and Md. Sabab Zulfiker

    in 2021 6th International Conference on Inventive Computation Technologies (ICICT), Coimbatore, India, Jan. 2021, pp. 705–712 2021 DOI

12. Analyzing the ML and DL-based Models for Predicting Malarial Fever Prior to Clinical Trial

    Md Robiul Islam, Tanjina Nur Jeba, Md. Sabab Zulfiker, Mirza Shahriyar Rahman, Mokhlesur Rahman

    in 2023 7th International Conference on Trends in Electronics and Informatics (ICOEI), Tirunelveli, India, 2023, pp. 1040-1045 2023 DOI

13. IoT and ML Based Approach for Highway Monitoring and Streetlamp Controlling

    Mushfiqur Rahman, Md Faridul Islam Suny, Jerin Tasnim, Md. Sabab Zulfiker, Mohammad Jahangir Alam, Tajim Md Niamat Ullah Akhund (2023)

    In: Satu, M.S., Moni, M.A., Kaiser, M.S., Arefin, M.S. (eds) Machine Intelligence and Emerging Technologies. MIET 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 491. Springer, Cham 2023 DOI