Rejwan Bin Sulaiman
Personal Profile
Rejwan Bin Sulaiman is a highly skilled researcher in the field of artificial intelligence and cybersecurity. Currently serving as a lecturer and module leader at Northumbria University London, Rejwan specializes in the areas of cybersecurity, machine learning, and artificial intelligence.
He has actively contributed to the field through his research, attending conferences and seminars to present his work and staying up to date with the latest advancements in his domain.
In addition to his teaching responsibilities, Rejwan has extensive experience supervising both full-time and part-time students at the BSc and MSc levels. He has also been involved in various professional consultancy activities, further enriching his understanding of industry requirements and practices.
Rejwan's research interests are primarily focused on the cutting-edge fields of cybersecurity, artificial intelligence, and machine learning, particularly on topics such as cyber-security and privacy, federated learning, Image processing and computational intelligence.
His innovative work has been recognized and published in reputable conferences and journals, showcasing his contributions to the scientific community.
As a lecturer at Northumbria University and a lead researcher at STEMResearch.ai, Rejwan is dedicated to advancing knowledge and driving innovation in his field.
With his deep understanding of artificial intelligence and cybersecurity, combined with his passion for teaching and research, Rejwan is committed to significantly impacting the ever-evolving landscape of computer science.
- PhD (candidate)
- MSc Degree
- BSc Degree
- Certified Ethical Hacker — C|EH
- CCNA Certification
- AWS Certification
- Member of IEEE
- Member of BCS
- International Conference Reviewer
- IEEE Conference Technical Committee Member
- Scientific Research Activities
- Research & Academic Workshops
Professional Experience
Lecturer
- Teaching Computing Modules: Information Assurance and Risk Management, Information Governance & Cyber Security, Database and Analytics Principles, Leadership in the Digital Age, AI for IoT, Big Data, Mobile and web application security and Ethical Hacking.
- Leading modules: AI for IoT, Mobile and web application security, Information Assurance and Risk Management.
- Assessing students' assessments for multiple modules, coursework, assignments, examinations, and project work.
- Improving and Developing academic modules.
- Nominee of Student Led Teaching Award 2023 – Northumbria University.
Founder and Lead Researcher
- Mentoring a group of dedicated research fellows in Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).
- Aiming to publish high impact research papers in IEEE Xplore, ACM publication, Springer and Taylor & Francis.
Lecturer
- Teaching Computing Modules like Data Analytics, Digital Skills and Knowledge and Information Management.
- Assessing students' assessments for multiple modules, coursework, assignments, examinations, and project work.
- Supervising Masters level students and grading assignments.
Data Scientist
- Developing web-based Data Science proof of concept using Streamlit.
- Using SQL, Python, and Tableau, exploring the impact and trends of weather and temperature on sales.
- Developing predictive models of sales in comparison to advertisement.
- Building Python scripts that save working hours for data cleaning.
- Presenting analytical results and data visualizations in a meaningful way for stakeholders.
- ETL of data ingestion from different pipelines through API and database.
Associate Lecturer
- Teaching Computing Modules like Human-Computer Interaction and Data Analytics.
- Assessing coursework, assignments, examinations, and project work.
- Supervising Masters level students and grading assignments.
Visiting Lecturer
- Teaching modules including Security Testing and Forensic Investigation, Ethical Hacking, Intelligent System and Data Mining.
- Teaching Artificial Intelligence, Advanced Big Data, Intelligent System, and Data Mining modules.
Research Activities
Research Leadership
Research Lead at STEMResearch.ai, mentoring research fellows and guiding research activities in Artificial Intelligence, Machine Learning and Cyber Security.
Academic Reviewing
Reviewer at International Conference on Trends and Innovations in Smart Technologies.
Conference Activities
Reviewer at The International Conference on Advances in Communication Technology and Computer Engineering and The Twelfth International Conference on Information and Communication Systems.
AI × Cyber Security
Combining artificial intelligence, machine learning and security research to explore practical solutions for emerging technological challenges.
Selected Publications
Islam, M., Shuvo, S.A., Nipun, M.S., Bin Sulaiman, R., Shaikh, M.M., Nayeem, J., Haque, Z., Sourav, M.S.U. and Kareem, A., 2023. Efficient Approach to Using CNN-Based Pre-trained Models in Bangla Handwritten Digit Recognition.
Nipun, M.S., Sulaiman, R.B. and Kareem, A., 2023. An Efficient Approach for Image Detection and Recognition Using Artificial Intelligence in Cyber-Physical Systems.
Kareem, A., Sulaiman, R.B., Akram, S.V., Maurya, M., Chakrapani, I.S. and Sasikala, P., 2023. Artificial Intelligence Based Early Diagnosis of Sepsis.
Nipun, M.S., Talukder, M.S.H., Butt, U.J. and Sulaiman, R.B., 2023. Influence of Artificial Intelligence in Higher Education; Impact, Risk and Counter Measure.
Talukder, M.S.H., Sulaiman, R.B., Chowdhury, M.R., Nipun, M.S. and Islam, T., 2023. PotatoPestNet: a CTInceptionV3-RS-based neural network for accurate identification of potato pests.
Talukder, M.S.H., Chowdhury, M.R., Sourav, M.S.U., Al Rakin, A., Shuvo, S.A., Sulaiman, R.B., Nipun, M.S. and others, 2023. JutePestDetect: An intelligent approach for jute pest identification using fine-tuned transfer learning.
Sourav, M.S.U., Wang, H., Chowdhury, M.R. and Sulaiman, R.B., 2023. CNN Based Intelligent Streetlight Management Using Smart CCTV Camera and Semantic Segmentation.
Bin Sulaiman, R., Schetinin, V. & Sant, P. Review of Machine Learning Approach on Credit Card Fraud Detection. Hum-Cent Intell Syst 2, 55–68 (2022).
Arora, B., Jadhav, P., Sulaiman, R.B., Kareem, A., Kunekar, P. and Pant, B., 2022. Integrating Artificial Intelligence and Deep Learning for Enhanced Medical Innovation.
Kumar Tyagi, S. M. Beram, P. Tyagi, R. B. Sulaiman, B. Pant and P. Srivani, 2022. Design & Implementation of Hotel Recommendation System with Intelligent Data Analytics Collaborative Filtering Based on Machine Learning.
Sulaiman, R.B., Schetinin, V. (2022). Deep Neural-Network Prediction for Study of Informational Efficiency. Intelligent Systems and Applications. Springer.
Kareem and R. B. Sulaiman, Applications of Blockchain Technology and Related Security Threats, Security Engineering for Embedded and Cyber-Physical Systems, 2022.
Bin Sulaiman, A. Kareem, and M. U. Farooq, Algorithms and Security Concern in Blockchain Technology, Security Engineering for Embedded and Cyber-Physical Systems, 2022.
B. Sulaiman and R. L. Patel, Statistical in-depth security analysis for vehicle to everything communication over 5G Network, Vehicular Communications for Smart Cars, 2021.
B. Sulaiman, AI Based Chatbot: An Approach of Utilizing On Customer Service Assistance, arXiv:2207.10573, 2022.
S. Nipun, R. B. Sulaiman, and A. Kareem, Efficiency Comparison of AI classification algorithms for Image Detection and Recognition in Real-time, arXiv:2206.05842, 2022.
Yousuf, R. B. Sulaiman, and M. S. Nipun, A novel approach to increase scalability while training machine learning algorithms using Bfloat 16 in credit card fraud detection, arXiv:2206.12415, 2022.
Kareem, Amer and Sulaiman, Rejwan Bin, Concepts, Technologies and Future Scope of 6G Cellular Network: A Review, The IUP Journal of Telecommunications, 2021.
Bin Sulaiman, Rejwan and Masud Ahmed Rahi. A Detailed Study on Web-Based-Honeypot To Propose Mitigation Framework in Web Application. 2019.