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. His teaching approach combines theoretical foundations with practical applications, fostering an interactive and engaging learning environment. Rejwan believes in equipping students with both conceptual understanding and hands-on skills, enabling them to excel in their academic pursuits and future careers. 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. He actively participates in scientific meetups, sharing his insights and learning from fellow professionals, to further expand his expertise. 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.
Rejwan has accumulated extensive academic and industry experience over the course of several years, enabling him to develop expertise across multiple domains. During his term at NUL, he actively contributed to the design and development of modules centred around mobile and web security, as well as AI for IoT. Additionally, he played a pivotal role as a Data Scientist in a team that successfully completed a 200k-funded Innovative UK project.
Rejwan’s involvement extends beyond his academic role, as he co-founded the Cybersecurity Club@UoB, aiming to assist students in understanding ethical hacking techniques and countermeasures at university of Bedfordshire. Furthermore, he holds a leadership position as a lead researcher at STEMresearch.ai, where he oversees and guides a team of approximately 12 students, focusing on various research topics in the fields of AI, machine learning and cyber security. Through his continuous exploration of emerging technologies and his dedication to sharing knowledge, Rejwan strives to inspire and empower the next generation of computer scientists.
Additionally, Rejwan actively participates as a reviewer and serves as a member of the Technical Program Committee at different IEEE conferences. His professional affiliations with IEEE and BCS provide him with opportunities to engage with a wide range of seminars and research workshops, enabling him to stay up to date with the latest advancements in his field.
Rejwan holds multiple academic qualifications and professional certifications that demonstrate his expertise in the field. Alongside his PhD (candidate), MSc and BSc degree, he is a certified ethical hacker and possesses professional certifications such as C|EH, CCNA, and AWS.
Additionally, Rejwan is a member of the IEEE (Institute of Electrical and Electronics Engineers) and BCS (British Computer Society), enabling him to stay updated with the latest advancements and network with fellow professionals.