Mohamad Abu Seman | AI and Robotic System | Best Researcher Award

Dr. Mohamad Abu Seman | AI and Robotic System | Best Researcher Award

Senior Lecturer from University Sains Malaysia | Malaysia 

Dr. Mohamad Tarmizi Abu Seman is a Senior Lecturer at Universiti Sains Malaysia (USM), widely recognized for his pioneering work in mechanical engineering and intelligent systems integration. With an academic and research career rooted in innovation and community impact, Dr. Abu Seman has consistently contributed to the advancement of engineering solutions that intersect with artificial intelligence, smart healthcare systems, and sustainable technologies. His extensive research has produced practical tools and systems, from smart rehabilitation gloves and diabetic insoles to IoT-based agriculture and intelligent parking solutions. He has been instrumental in supervising numerous undergraduate and postgraduate students, leading them in cutting-edge research that addresses real-world challenges. Dr. Abu Seman has received multiple national and international accolades for his innovations and continues to serve on key research projects funded by Malaysian research councils and ministries. His involvement in applied engineering and technology-based community solutions demonstrates his commitment to both academic excellence and social betterment. As a member of professional networks like IEEE, he maintains strong academic connections and continually expands his interdisciplinary scope. His contributions place him at the forefront of Malaysian engineering innovation, with increasing global visibility in science, health, and technology domains.

Professional Profile

Scopus Profile | ORCID Profile | Google Scholar

Education

Dr. Mohamad Abu Seman holds a Doctor of Philosophy (Ph.D.) in Mechanical Engineering, marking the culmination of years of rigorous academic training and specialized research. His academic foundation is rooted in applied mechanical engineering, where he focused on areas such as Computational Fluid Dynamics (CFD), Finite Element Analysis (FEA), and mechanical system optimization. His doctoral research explored aerodynamic performances, smart sensor systems, and heat energy applications, combining computational and experimental methodologies to advance engineering practices. Throughout his academic journey, Dr. Abu Seman developed expertise in simulation software such as ANSYS and MATLAB, allowing him to translate complex engineering theories into practical, problem-solving innovations. His academic credentials are complemented by his continued learning through research-based teaching and national innovation competitions. His education laid a strong foundation for his future research endeavors in smart embedded systems, energy-efficient devices, and AI-integrated mechanical systems. The application of his doctoral studies is evident in the range of projects he has undertaken, including robotics, sensor technologies, and sustainable engineering solutions. Dr. Abu Seman’s academic journey has not only shaped his technical competencies but also positioned him as a thought leader in intelligent mechanical systems both in Malaysia and the wider ASEAN research community.

Experience

As a Senior Lecturer at Universiti Sains Malaysia (USM), Dr. Mohamad Abu Seman has demonstrated multifaceted professional excellence in teaching, research, and applied innovation. He has led and contributed to a wide range of university-community partnership projects, focusing on smart agriculture, robotic rehabilitation, and inclusive design for differently-abled individuals. His current and past grant-funded research initiatives include the development of intelligent glove systems, IoT-powered irrigation, and robotic mechanisms, amounting to over RM 700,000 in research funding. Dr. Abu Seman has played an integral role in supervising undergraduate and postgraduate students, many of whom have produced award-winning capstone projects and published academic papers under his guidance. His engineering expertise spans smart mechanical systems, AI-driven embedded applications, and biomedical design. Additionally, he has represented his institution at national and international engineering competitions and innovation exhibitions, further solidifying his professional credibility. Dr. Abu Seman’s experience is deeply rooted in both academic mentorship and real-world problem-solving, often bridging the gap between engineering theory and tangible community impact. He continues to contribute as a principal investigator in active research projects, and his career trajectory exemplifies sustained leadership in research, innovation, and collaborative knowledge exchange.

Research Interests

Dr. Abu Seman’s research interests lie at the intersection of mechanical engineering, smart systems, and artificial intelligence, with a focus on real-world applications in healthcare, agriculture, and industrial automation. He is particularly passionate about the design and simulation of intelligent assistive devices, such as smart diabetic insoles and rehabilitation gloves, which utilize embedded systems, IoT, and sensor-based feedback for enhanced performance and usability. Another major area of his research focuses on energy-efficient systems and robotic mechanisms that aid in automation for improved human well-being and sustainability. Projects like the development of a universal robotic gripper, IoT-enabled irrigation systems, and embedded traffic systems showcase his interdisciplinary and application-driven approach. He has also delved into predictive analytics using AI for transportation systems, biomedical applications, and real-time industrial monitoring. These interests are driven by a commitment to integrating AI and mechanical structures to create smarter, safer, and more adaptive engineering systems. Dr. Abu Seman also engages in bio-inspired system design and fuzzy logic control applications for automation and autonomous vehicles. His ongoing research continuously aligns with evolving industry needs and national development priorities, making him a prominent contributor to Malaysia’s vision for innovation-led engineering development.

Research Skills

Dr. Abu Seman possesses a robust arsenal of technical skills that enable him to deliver impactful and solution-oriented research in mechanical engineering. He is proficient in Computational Fluid Dynamics (CFD) and Finite Element Analysis (FEA), leveraging software like ANSYS, MATLAB, and SolidWorks for simulation and modeling purposes. His work incorporates embedded technology, robotic automation, smart sensors, and artificial intelligence frameworks, showcasing his multi-disciplinary fluency. Dr. Abu Seman has also demonstrated competence in design thinking and prototyping, guiding student-led innovations from ideation to final implementation. He is highly skilled in using Raspberry Pi and Arduino systems for building smart devices in healthcare and IoT agriculture. His experience in leading grant-funded research has sharpened his skills in project formulation, technical reporting, and data visualization. With knowledge of deep learning, fuzzy control systems, and adaptive algorithms, he applies computational intelligence to mechanical systems with practical relevance. His skill set also includes academic writing, having published in high-impact Scopus and WoS-indexed journals. Moreover, his guidance of undergraduate and postgraduate students reveals his mentoring capacity and commitment to skill transfer. Dr. Abu Seman continues to refine his skills to align with emerging trends in smart engineering, robotics, and AI integration.

Awards and Honors

Dr. Mohamad Abu Seman has been the recipient of numerous national and international awards that recognize both his innovation and social impact. He earned the Silver and Special Awards at the Asia International Innovation Exhibition (AIINex) for his automated door system developed in response to COVID-19 SOP compliance. His leadership in student innovation led to his team winning Champion in the “OKU Smart Parking Lot System” project during the Engineering Innovative Design Competition (ENGINNOVATE) at USM. He was also awarded The People’s Choice Award at the Malaysian Innovative Healthcare Symposium (MIHS) for the Smart Diabetic Insole project. These recognitions reflect his commitment to technological inclusivity, especially projects that support marginalized communities like the elderly and the disabled. Dr. Abu Seman’s research has also been showcased at international IEEE conferences and Springer’s Lecture Notes series, underlining his global academic reach. His recognition goes beyond technical merit; it also underscores his ability to align innovation with public health and community development goals. These awards have positioned him as a leading innovator in Malaysia’s academic engineering landscape, reaffirming his capability to translate research into socially responsible engineering solutions.

Publication Top Notes

  • Smart water-quality monitoring system based on enabled real-time internet of things – 2020, 57 citations

  • Monitoring temperature, humidity and controlling system in industrial fixed room storage based on IoT – 2020, 19 citations

  • Embedded operating system and industrial applications: a review – 2021, 13 citations

  • Internet of things based automated agriculture system for irrigating soil – 2022, 11 citations

  • Application of deep learning in iron ore sintering process: a review – 2024, 7 citations

  • Intelligent pressure and temperature sensor algorithm for diabetic patient monitoring: An IoT approach – 2024, 7 citations

  • A MAC protocol for energy efficient wireless communication leveraging wake-up estimations on sender data – 2020, 7 citations

Conclusion

Dr. Mohamad Tarmizi Abu Seman exemplifies the qualities of an outstanding researcher, educator, and innovator. His multidisciplinary contributions in mechanical engineering, particularly in the integration of AI, embedded systems, and community-focused technologies, have made a tangible impact on both the academic community and Malaysian society. With a proven track record of student mentorship, successful research funding, impactful publications, and award-winning innovations, Dr. Abu Seman continues to raise the standards of engineering education and research excellence. His projects not only advance scientific knowledge but also directly contribute to societal welfare by addressing issues in healthcare accessibility, smart infrastructure, and inclusive technology. As he expands his research through international collaborations and aims for higher-tier publications, his potential as a future leader in smart engineering systems and AI-driven innovation remains strong. His work stands as a model of applied science for societal good, and his nomination is a testament to his dedication to transforming challenges into impactful solutions.

Wan Rahiman | Robotics | Best Researcher Award

Assoc Prof Dr. Wan Rahiman | Robotics | Best Researcher Award

Lecturer at  Universiti Sains Malaysia, Malaysia 

Wan Mohd Yusof Rahiman is an Associate Professor at the School of Electrical and Electronic Engineering at Universiti Sains Malaysia (USM). He has a distinguished academic and research background with a focus on control systems, pipeline leak detection, and autonomous drone technology. He has contributed to the advancement of smart logistics technology and is a leader in the development of autonomous vehicles and digital health IoT systems. His extensive industrial experience combined with his academic achievements makes him a versatile researcher, contributing significantly to both academia and industry.

Profile

Education

Wan Rahiman holds a Ph.D. in Control Systems from the University of Manchester, United Kingdom (2009), where he specialized in Fault Detection and Isolation for Pipeline Systems. He completed his Bachelor of Engineering (BEng) in Manufacturing Engineering from Cardiff University, UK, in 2003. His academic journey equipped him with a solid foundation in both practical and theoretical aspects of engineering, enabling him to make impactful contributions to research and industry.

Professional Experience

Wan Rahiman’s career spans both industry and academia. He gained valuable industry experience working for Panasonic Manufacturing in Cardiff (2003-2004) and Lotus Cars in Norwich (2004-2005), where he worked as an engineer. In academia, Wan Rahiman has been with Universiti Sains Malaysia (USM) since 2010, where he serves as the Head of the Smart Port and Logistic Technology Cluster. He also conducted research at the University of Manchester from 2015 to 2016. His work experience has provided him with a unique blend of practical engineering knowledge and cutting-edge academic research.

Research Interest

Wan Rahiman’s research interests lie at the intersection of control systems, autonomous drone technology, and digital health IoT systems. He specializes in pipeline leak detection and localization, autonomous navigation, wireless power charging for drones, and smart logistics. His research projects often focus on modeling nonlinear systems and developing innovative solutions for industries such as transportation, logistics, and healthcare.

 Research Skills

Wan Rahiman is proficient in several critical research areas, including fault detection, autonomous navigation, and the development of smart systems. He has expertise in modeling nonlinear systems and applying these models to real-world challenges. His skills in leading interdisciplinary research teams, acquiring research funding, and publishing in top-tier journals are well established, contributing to his success in both academic and industrial research settings.

Award and Recognition

Throughout his career, Wan Rahiman has received various recognitions for his research contributions. He leads the Smart Port and Logistic Technology Cluster at USM, reflecting his role as a prominent figure in smart technology research. His international collaborations and leadership roles in major research initiatives further exemplify his accomplishments and standing in the academic and scientific communities.

Conclusion

Wan Rahiman is highly suitable for the Best Researcher Award due to his strong academic qualifications, extensive research output, and leadership in the field of control systems, autonomous navigation, and smart logistics. His expertise in pipeline leak detection and drone technologies is highly relevant and impactful in today’s technological landscape. Although there is room for him to expand his international collaborations and explore newer research frontiers, his track record of excellence makes him a strong candidate for the award.

Publication Top Notes

  • Exploring the application of ant colony optimization in path planning for Unmanned Surface Vehicles
    Year: 2024
    Journal: Ocean Engineering
  • Microwave assisted synthesis of nickel oxide nanoparticles at different pH via sol gel method: Experimental and first-principles investigations
    Year: 2024
    Journal: Inorganic Chemistry Communications
  • Fingerprint Sensor Integration in Smart Healthcare Emergency App: Enhancing Ambulance Navigation through Emergency Route Highlighting
    Year: 2024
    Journal: 2024 20th IEEE International Colloquium on Signal Processing and Its Applications (CSPA) – Conference Proceedings
  • A Novel Fault Detection Approach in UAV With Adaptation of Fuzzy Logic and Sensor Fusion
    Year: 2024
    Journal: IEEE/ASME Transactions on Mechatronics
  • Development of a Digital Twin Prototype for Industrial Manufacturing Monitoring System Using IoT and Augmented Reality
    Year: 2024
    Journal: International Journal of Online and Biomedical Engineering
  • Comparative analysis between data-driven and visual-based approach in drone propeller imbalance detection
    Year: 2024
    Journal: Journal of Vibration and Control
  • Analysis of Pure-pursuit Algorithm Parameters for Nonholonomic Mobile Robot Navigation in Unstructured and Confined Space
    Year: 2024
    Journal: Pertanika Journal of Science and Technology
  • Comprehensive Technical Review of Recent Bio-Inspired Population-Based Optimization (BPO) Algorithms for Mobile Robot Path Planning
    Year: 2024
    Journal: IEEE Access
  • A Comprehensive Review of Recent Advances in Automated Guided Vehicle Technologies: Dynamic Obstacle Avoidance in Complex Environment Toward Autonomous Capability
    Year: 2024
    Journal: IEEE Transactions on Instrumentation and Measurement
  • A Framework Study on a Real-Time Operated System for Emergency Medical Services (EMS) using NODEMCU Processor
    Year: 2024
    Journal: Journal of Advanced Research in Applied Sciences and Engineering Technology