Dr. Jeevan began his academic journey by earning a Bachelor’s degree in Electrical Engineering from Universiti Teknologi Malaysia (UTM) in 1999. He then advanced to Universiti Sains Malaysia (USM), where he completed an MSc in Mechanical Engineering in 2003 and a PhD in Heat Transfer in Electronic System in 2007. In 2014, he obtained a Professional Certificate in Electronic Engineering from the Board of Engineers Malaysia (BEM), further cementing his status as a registered professional engineer. Dr. Jeevan holds a chartered engineer registration via IET (UK) since 2012 . Within the Faculty of Engineering, he leads interdisciplinary research efforts in optimization, artificial intelligence, and control systems, with applications in healthcare, IR4, and electronic circuits.

He heads the Expert System & Optimization Lab (ESOL), which focuses on integrating AI and swarm intelligence with control strategies to address societal challenges like cancer treatment optimization and Industrial Revolution 4. ESOL collaborates with dental faculties at UM and international institutions across the UK, Germany, and China.

Dr. Jeevan’s research portfolio is both broad and impactful: he has authored over 100 peer‑reviewed journal articles, garnered more than 1,300 citations, and currently having an H‑index of 20(2025). Noteworthy recent publications include studies on cancer chemotherapy controlled via optimal control and swarm intelligence; exploration of distortion estimation using image gradients; investigations into vehicle type classification using semi‑supervised PCA and convolutional networks; and research with Malaysian Industry related to Industry Revolution 4.0. In 2024 alone, he co-authored works on dual‑therapy cancer control and metaheuristic optimization for treatment planning, demonstrating his ongoing leadership in high‑impact interdisciplinary research.

Beyond research, Dr. Jeevan is active in grant panel review, academic examination, and journal referee service. He has served as a panel assessor for UM internal grant schemes (2019–21) and reviewed proposals for Universiti Pertahanan Malaysia, Taylor’s University, and the international journal Applied Soft Computing and IEEE access. In recognition of his dedication to service, he received the Certificate of Excellent Service from Universiti Malaya in 2014 .

In the classroom, he teaches the Optimization Methods (KIE4024) and Numerical Analysis(KIE3005) for undergraduates and lectures on Machine Learning(KQC7015), Industrial Automation and Robotics(KQC7031) and Embedded System(KQC7029) for Masters of Coursework, equipping engineering students with AI‑based approaches to address complex, real‑world engineering problems through optimal control and swarm intelligence.