Senior Lecturer at Asia Pacific University of Technology & Innovation (APU), Malaysia
Dr Denesh A/L Sooriamoorthy is a distinguished academic and researcher specializing in mechatronic engineering, robotics, and biomedical systems. Currently serving as a Senior Lecturer at Asia Pacific University of Technology & Innovation, he has made impactful contributions to both education and research. His career has been defined by innovative curriculum development, particularly in robotics and mechatronics, alongside leadership in collaborative projects with academia and industry. His doctoral research pioneered early risk prediction methods for cardiovascular diseases, integrating numerical modeling and wearable technologies. He has consistently demonstrated the ability to merge advanced technical knowledge with practical applications, producing outcomes that bridge healthcare, robotics, and intelligent systems. Beyond his technical expertise, he has held leadership roles as programme coordinator, advisor to student clubs, and conference organizer, reflecting his versatility as an academic leader. His professional recognition as a certified engineer and technologist underscores his standing in the engineering community.
Professional Profile
Scopus | Orcid
Education
Dr Denesh A/L Sooriamoorthy has pursued a distinguished educational journey that integrates engineering, research, and teaching excellence. He began with a strong foundation in mechatronic engineering, completing his undergraduate studies with high honors at the University of Nottingham. His academic trajectory advanced through a master’s degree in mechatronic engineering, where he gained extensive technical knowledge in robotics, systems modeling, and intelligent control applications. Building on this foundation, he undertook doctoral research at the University of Nottingham, focusing on innovative cardiovascular disease risk prediction methods. This doctoral work not only strengthened his expertise in biomedical engineering and signal processing but also aligned with his passion for advancing healthcare technologies. To complement his research and academic career, he further specialized in pedagogy by obtaining a postgraduate qualification in teaching and learning. His educational path reflects a seamless integration of engineering, healthcare technology, and academic leadership, preparing him for impactful contributions in academia and industry.
Experience
Dr Denesh A/L Sooriamoorthy has amassed extensive academic and research experience across leading institutions. At Taylor’s University Malaysia, he was instrumental in developing the Mechatronics Engineering programme and played a vital role in robotics curriculum design. He also served as the Work-Based Learning Coordinator for the Robotic Design and Development programme, signing industry collaborations and facilitating practical training opportunities. As an advisor to the Taylor’s Robotics Club, he nurtured student innovation through projects and competitions. His earlier professional experience as a research engineer at Chulia Facilities Management allowed him to bridge industry with research, particularly in cardiovascular modeling and wearable health monitoring. Currently, as a Senior Lecturer at Asia Pacific University, he teaches diverse modules in electronics, robotics, and intelligent systems while leading programme development and accreditation processes. His expertise spans teaching, research, industry collaboration, student mentorship, and professional training, showcasing his commitment to holistic academic and professional excellence.
Awards and Honors
Dr Denesh A/L Sooriamoorthy has been recognized with multiple prestigious awards that highlight his academic excellence, research impact, and teaching innovation. His research on cardiovascular disease risk prediction and robotics applications has received accolades at international conferences and innovation exhibitions, including gold and silver awards at technology expos. He has been honored with best paper awards and has received recognition for his inventive contributions to healthcare and intelligent systems. His outstanding teaching abilities have earned him university-level awards, including recognition for his mentorship and dedication to students. He has also been celebrated for his communication and presentation skills, achieving notable positions in competitions such as the Three Minute Thesis. Beyond academic recognition, he has been commended for his leadership roles, including conference chairing and programme coordination. These honors collectively underscore his ability to excel across research, teaching, innovation, and professional service, strengthening his reputation as an accomplished engineer and educator.
Research Focus
Dr Denesh A/L Sooriamoorthy’s research spans mechatronics, robotics, biomedical engineering, and intelligent systems. His work uniquely bridges healthcare and engineering, particularly through pioneering methods for early prediction of cardiovascular diseases. Using numerical modeling of circulatory systems, coupled with wearable monitoring devices and predictive algorithms, his studies aim to advance preventive healthcare solutions. Beyond biomedical applications, he has contributed significantly to robotics, focusing on sensors, actuators, machine vision, swarm intelligence, and embedded systems. His expertise extends into renewable energy management and electric vehicle battery optimization, integrating artificial intelligence with engineering systems to enhance sustainability. He has led and collaborated on multiple funded projects, ranging from industrial robotics to intelligent autonomous navigation. His interdisciplinary approach combines theory, experimentation, and practical deployment, ensuring his research addresses real-world challenges. By aligning healthcare innovation with robotics and energy technologies, his work continues to influence both academic research and industrial applications globally.
Publication Top Notes
Title: An integrated convolutional neural network with zero-dimensional cardiovascular hemodynamics parameters for early cardiovascular disease detection
Journal: Biomedical Signal Processing and Control
Summary: This paper introduces a hybrid diagnostic model that integrates convolutional neural networks (CNNs) with zero-dimensional cardiovascular hemodynamics parameters for early cardiovascular disease detection. The combination of deep learning and physiological modeling improves accuracy, interpretability, and clinical relevance, offering a reliable tool for risk assessment and decision support in healthcare.
Title: Optimizing solar maximum power point tracking with adaptive PSO: A comparative analysis of inertia weight and acceleration coefficient strategies
Journal: Results in Engineering
Summary: This study investigates maximum power point tracking (MPPT) in photovoltaic systems using adaptive particle swarm optimization (PSO). By analyzing different inertia weight and acceleration coefficient strategies, the research demonstrates improved convergence speed, tracking stability, and energy harvesting efficiency. The adaptive PSO approach outperforms traditional methods, making it well-suited for practical solar energy applications.
Conclusion
Ir Ts Dr Denesh A/L Sooriamoorthy exemplifies the integration of engineering expertise, research innovation, and academic leadership. His contributions span mechatronics, robotics, healthcare technologies, and sustainable energy systems, reflecting his commitment to interdisciplinary solutions for global challenges. As an academic, he has nurtured future engineers through curriculum development, teaching, and mentorship, while also building bridges between academia and industry through impactful collaborations. His recognition as a professional engineer and technologist highlights his credibility and standing in the engineering profession. With a proven record of securing research grants, publishing in high-impact journals, and leading innovative projects, he continues to advance knowledge and practical applications in engineering. His long-term vision is to remain at the forefront of research, education, and innovation, contributing to the development of intelligent systems that benefit society. Through his dedication, versatility, and leadership, he stands as a valuable asset to any institution or research initiative he engages with.