Lecturer
CoU
Cumilla-3506, Bangladesh
Khondokar Oliullah is currently a Lecturer in the Department of ICT at Comilla University. He is an enthusiastic computer science researcher with a goal to contribute to emerging technologies. His research interests lie at the intersection of artificial intelligence (AI) and Internet of Things (IoT). With a boundless curiosity and a deep fascination for the possibilities these fields hold, and driven to explore and push the boundaries of technological innovation.
| MSc | Jahangirnagar University | Information Technology | 2018 |
| BSc | Jahangirnagar University | Information Technology | 2017 |
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Comilla University, Bangladesh |
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Bangladesh University of Business and Technology, Bangladesh |
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Sonargaon University, Bangladesh |
| 1 |
Khondokar Oliullah, Md Whaiduzzaman, Md Julkar Nayeen Mahi, Tony Jan and Alistair Barros :
A machine learning based authentication and intrusion detection scheme for IoT users anonymity preservation in fog environment
, PLOS One , Public Library of Science , no.6 , issn:1932-6203 , doi:https://dx.doi.org/10.6084/m9.figshare.29143829 , indexed: Scopus, WoS , Fog Computing, IoT Security, Authentication, Anonymous Authentication, Machine Learning , (impact factor:3.2) vol.20 , pp.e0323954 , June , 2025 . View More |
| 2 |
Md Reazul Islam, Khondokar Oliullah, Md Mahbub-Or-Rashid and Jugal Krishna Das :
Design and Implementation of a Cost-Effective Automatic Water Pump Control System for Domestic Applications Using IoT
, Intelligent Networks and Systems: Advanced Technologies and Applications , CRC Press , issn:9781032643304 , pp.176 , September , 2025 . |
| 3 |
Partho Ghose, Khondokar Oliullah, Md Kawsher Mahbub, Milon Biswas, Kazi Nur Uddin and Hasan M Jamil :
Explainable AI assisted heart disease diagnosis through effective feature engineering and stacked ensemble learning
, Expert Systems with Applications , Pergamon , issn:0957-4174 , doi:https://doi.org/10.1016/j.eswa.2024.125928 , indexed: Scopus, WoS , Heart disease, Machine Learning, Ensemble Learning, Outlier Detection, Features Engineering, Explainable AI, SHAP , (impact factor:7.5) vol.265 , pp.125928 , March , 2025 . View More |
| 4 |
Khondokar Oliullah, Md Reazul Islam, Jahirul Islam Babar, MA Nur Quraishi, Md Mahbubur Rahman, Md Mahbub-Or-Rashid and TM Amir-Ul-Haque Bhuiyan :
FruVeg_MultiNet: A hybrid deep learning-enabled IoT system for fresh fruit and vegetable identification with web interface and customized blind glasses for visually impaired individuals
, Journal of Agriculture and Food Research , Elsevier , issn:2666-1543 , doi:https://doi.org/10.1016/j.jafr.2024.101623 , indexed: Scopus, WoS , Deep learning, IoT Fresh fruit, Agriculture, Fresh vegetable, Hybrid model, Classification, Identification , (impact factor:6.2) vol.19 , pp.101623 , March , 2025 . View More |
| 5 |
Md Reazul Islam, Khondokar Oliullah, Dr. Rajarshi Roy Chowdhury, Shaikat Das Joy and M M Fazle Rabbi :
IntelligentGuard: Smart Doorbell with Deep Learning for Secure User Recognition and Instant Notifications
, International Journal of Electrical and Electronics Research (IJEER) , FOREX Publication , no.2 , issn:2347-470X , doi:https://doi.org/10.37391/ijeer.130220 , indexed: Scopus , Doorbell, Face Recognition, Deep Learning, Internet of Things (IoT), Human Face Detection vol.13 , pp.553-563 , June , 2025 . View More |
| 6 |
Khondokar Oliullah, Mahedi Hasan Rasel, Md Manzurul Islam, Md Reazul Islam, Md Anwar Hussen Wadud and Md Whaiduzzaman :
A stacked ensemble machine learning approach for the prediction of diabetes
, Journal of Diabetes & Metabolic Disorders , Springer International Publishing , no.1 , issn:2251-6581 , doi:https://doi.org/10.1007/s40200-023-01321-2 , indexed: Scopus, WoS , Diabetes prediction, Machine learning, Stacked Ensemble, PIMA , (impact factor:1.6) vol.23 , pp.603-617 , June , 2024 . View More |
| 7 |
Md Reazul Islam, Khondokar Oliullah, Mohsin Kabir, Ashifur Rahman, MF Mridha, Muhammed Fayyaz Khan and Nilanjan Dey :
Machine learning-driven IoT device for women’s safety: a real-time sexual harassment prevention system
, Multimedia Tools and Applications , Springer US , issn:1380-7501 , doi:https://doi.org/10.1007/s11042-024-20228-5 , indexed: Scopus , Internet of things, Machine learning, Adaboost classifier, Sexual harassment, Women’s safety , (impact factor:3.6) , pp.1-30 , September , 2024 . View More |
| 8 |
Md Reazul Islam, Khondokar Oliullah, Md Mohsin Kabir, Munzirul Alom and MF Mridha :
Machine learning enabled IoT system for soil nutrients monitoring and crop recommendation
, Journal of Agriculture and Food Research , Elsevier , issn:2666-1543 , doi:https://doi.org/10.1016/j.jafr.2023.100880 , indexed: Scopus, WoS , Machine learning, Internet of things, Agriculture, Crop recommendation, Soil nutrients, Sensor, Cloud computing, Crop quality assessment , (impact factor:6.2) vol.14 , pp.100880 , December , 2023 . View More |
| 9 |
Khondokar Oliullah, Mesbahuddin Sarker, Abu Sayeed Arif and M Adeyl Khan :
Customer Satisfaction of Mobile Users in the COVID-19 Situation: A Bangladesh Perspective Survey
, Business Studies Journal , Allied Business Academies , no.3 , issn:1944-656X , indexed: Euro Pub, Scope Database , Customer Satisfaction, Mobile Telecommunications, COVID-19 vol.14 , pp.1-14 , May , 2022 . View More |
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1. Islam, Md Reazul, Arman Hossain, Sayefa Arafah, MM Fazle Rabbi, and Khondokar Oliullah. "A Portable Diagnostic and Medication System for Rural Areas Using IoT." In International Conference on Trends in Electronics and Health Informatics, pp. 671-685. Singapore: Springer Nature Singapore, 2023. https://doi.org/10.1007/978-981-97-3937-0_46 (Download) 2. Oliullah, Khondokar, Alistair Barros, and Md Whaiduzzaman. "Analyzing the Effectiveness of Several Machine Learning Methods for Heart Attack Prediction." In Proceedings of the Fourth International Conference on Trends in Computational and Cognitive Engineering: TCCE 2022, pp. 225-236. Singapore: Springer Nature Singapore, 2023. https://doi.org/10.1007/978-981-19-9483-8_19 (Download) 3. Whaiduzzaman, Md, Khondokar Oliullah, Md Julkar Nayeen Mahi, and Alistair Barros. "AUASF: An Anonymous Users Authentication Scheme for Fog-IoT Environment." In 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), pp. 1-7. IEEE, 2020. https://doi.org/10.1109/ICCCNT49239.2020.9225632 (Download) 4. Sagar S.P., Oliullah K., Sohan K., Patwary M.F.K. (2021) PRCMLA: Product Review Classification Using Machine Learning Algorithms. In: Kaiser M.S., Bandyopadhyay A., Mahmud M., Ray K. (eds) Proceedings of International Conference on Trends in Computational and Cognitive Engineering. Advances in Intelligent Systems and Computing, vol 1309. Springer, Singapore. https://doi.org/10.1007/978-981-33-4673-4_6 (Download) 5. Khondokar Oliullah, Shipon Tarafdar, Md Whaiduzzaman (2020). Fog Computing And Iot Based Modern Agricultural System. Topics in Intelligent Computing and Industry Design, 2(1): 88-92. http://doi.org/10.26480/cic.01.2020.88.92 (Download) |
