Enquiry

Committee

by | May 5, 2026

ICiMR 2026 Committee

Chair

Dr Ong Teng Yeow

Dr Ong Teng Yeow is a Senior Lecturer at the School of Technology and Engineering Science, Wawasan Open University. He has over 30 years of industrial experience in manufacturing and automation, with strong expertise in printed circuit board assembly (PCBA) process technology, automation system design, and smart manufacturing solutions. His professional background spans industrial problem-solving methodologies and the development of connected systems for manufacturing environments.

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Academic Qualifications & Professional Memberships

  • PhD (Manufacturing Systems and Automation), Universiti Sains Malaysia (USM)
  • Bachelor of Engineering (Mechanical) (Hons), University of Malaya (UM)

Areas of Teaching and Research Interest

  • Manufacturing process automation
  • Machine learning / artificial neural networks
  • Image processing and classification

Notable Publications

  • Ong, T. Y., Samad, Z., & Ratnam, M. M. (2010). Oblique view for improved solder joint inspection. Intelligent Information Management (IIM) Journal.
  • Ong, T. Y., Samad, Z., & Ratnam, M. M. (2008). Solder joint inspection with multi-angle imaging and artificial neural network. International Journal of Advanced Manufacturing Technology. 38(5–6), 455–462.
  • Samad, Z., Ong, T. Y., & Ratnam, M. M. (2006). Application of machine vision on solder joint inspection using ANN classification. AUN/SEED-Net Field-wise Seminar Proceedings.
  • Ratnam, M. M., Ong, T. Y., & Samad, Z. (2005). New approach for machine vision on solder joint inspection. International Conference on Mechatronics Technology (ICMT).
  • Ong, T. Y. (2005). New algorithm for machine vision on solder joint inspection. Mechanical Engineering Research Colloquium (MERC).

Co-chairs

Dr Mohd Hezri Marzaki

Dr Mohd Hezri Marzaki is Deputy Dean at the School of Technology and Engineering Science, Wawasan Open University. He also serves as Assessor for APEL A and APEL C qualifications, Research Ethics Board Member, and QSC Committee Member for Quality Standards in Education. His work focuses on control systems and system identification, with emphasis on the modelling and control of complex systems. Dr Hezri’s contributions have been recognised with the IET Special Award for the invention of an aluminium staging water filter at the Automation and Control Enhancing Innovation 2017 competition, organised by the Institution of Engineering and Technology.

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Academic Qualifications & Professional Memberships

  • PhD in Electrical Engineering, Universiti Teknologi MARA (UiTM) (2018)
  • BEng (Hons) Electronic (Instrumentation), UiTM (2012)
  • Diploma in Electrical Engineering (Instrumentation), UiTM (2009)

Areas of Teaching and Research Interest

  • Control systems
  • System identification
  • Modelling and control of complex systems

Notable Publications

  • Shariff, H. M. et al. (2020). Anti-windup PID controller ISE tuning for steam distillation system. Journal of Electrical and Electronic Systems Research.
  • Azman, A. A. et al. (2017). PID tuning methods for multi-tube aluminium sulphate water filter. IEEE I2CACIS.
  • Marzaki, M. H. et al. (2015). Performance of FOPI with error filter based on controller performance criteria. Asian Control Conference (ASCC).

Prof Dr Mohd Rizal Arshad

Prof Dr Mohd Rizal Arshad is Dean of the School of Robotics at Xi’an Jiaotong-Liverpool University. He has over 25 years of experience in robotics and control engineering, with a strong focus on marine intelligent robotics. He is actively involved in the international robotics and control community, serving as a steering committee member of the Asian Control Association, a member of the International Federation of Automatic Control’s Technical Committee on Marine Systems (TC 7.2) and a committee member of the Marine Engineering and Naval Architecture Technical Division of The Institution of Engineers, Malaysia.

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Academic Qualifications & Professional Memberships

  • PhD in Electronic Engineering, University of Liverpool, UK (1999)
  • MSc in Electronic Control Engineering, University of Salford, UK (1995)
  • BEng in Medical Electronics and Instrumentation, University of Liverpool, UK (1994)
  • Professional Engineer, Board of Engineers Malaysia (BEM)
  • Professional Technologist, Malaysian Board of Technologists (MBOT)
  • Chartered Engineer, Engineering Council, UK
  • Chartered Marine Engineer, Institute of Marine Engineering, Science and Technology (IMarEST)
  • Senior Member, IEEE
  • Founding Chair, IEEE Oceanic Engineering Society (Malaysia)

Areas of Teaching and Research Interest

  • Marine intelligent robotics
  • Control systems engineering
  • Robotics and automation systems
  • Autonomous marine systems
  • Intelligent control systems

Dr Richard Wong Teck Ken

Dr Richard Wong Teck Ken is a Senior Lecturer at the School of Engineering, Faculty of Engineering and Technology, Sunway University. He obtained his Doctor of Philosophy (DPhil) in Engineering Science from the University of Oxford, where his research focused on speed control for low-energy, on-time bus systems. His work integrates optimal control algorithms, artificial neural networks for prediction, and embedded systems programming. His research interests centre on smart transportation systems, operational optimisation for sustainability, and embedded system applications.

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Academic Qualifications & Professional Memberships

  • DPhil in Engineering Science, University of Oxford, UK (2018)
  • BEng (Hons) Mechatronic Engineering, Universiti Sains Malaysia (USM), Malaysia (2012)

Areas of Teaching and Research Interest

  • Smart transportation systems
  • Operational optimisation for sustainability
  • Embedded system applications

Notable Publications

  • Armstrong, P. M. et al. (2013). A reconfigurable PV array scheme integrated into an electric vehicle. Hybrid and Electric Vehicles Conference (HEVC 2013).

Assoc Prof Dr Al-Khowarizmi

Assoc Prof Dr Al-Khowarizmi is Dean of the Faculty of Computer Science and Information Technology (FIKTI) at Universitas Muhammadiyah Sumatera Utara (UMSU), Indonesia. He specialises in artificial intelligence and data science, with expertise in data mining, neural networks, and machine learning. He is actively engaged in teaching, research, and community service, with publications in national and international journals and conferences. He also serves as Deputy Chairperson of the IPKIN Sumatera Utara Branch.

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Academic Qualifications & Professional Memberships

  • PhD in Computer Science, University of Sumatera Utara (USU), Indonesia (2023)
  • Deputy Chairperson, IPKIN Sumatera Utara Branch

Areas of Teaching and Research Interest

  • Artificial intelligence
  • Data mining
  • Neural networks
  • Machine learning

Founding Chairs

Prof Ts Dr Yap Eng Hwa

Prof Ts Dr Yap Eng Hwa is Deputy Vice Chancellor (Academic) at Wawasan Open University, where he leads academic strategy, programme development, quality assurance, and the advancement of Open and Distance Learning (ODL), working closely with deans and stakeholders to deliver high-quality, industry-aligned education. He was the founding Dean at Xi’an Jiaotong-Liverpool University, where he established three schools at its Taicang Campus: the School of Intelligent Manufacturing Ecosystem, the School of Robotics, and the School of CHIPS. He has held academic leadership roles at the University of Technology Sydney, the University of Nottingham Malaysia, and University College London’s former Australian campus. His research adopts multidisciplinary, systems-based approaches to address challenges at the intersection of technology, sustainability, and energy systems. He is currently a Visiting Professor at Xi’an Jiaotong-Liverpool University and previously served as an Adjunct Professor at the University of Technology Sydney.

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Academic Qualifications & Professional Memberships

  • PhD, University College London (UCL)
  • PGCHE, University of Nottingham
  • BSc Marine Technology, University of Plymouth
  • Diploma in Marine Engineering, Politeknik Ungku Omar
  • Fellow (FHEA), AdvanceHE (formerly HEA), UK
  • Chartered Engineer (CEng), Engineering Council (EC), UK
  • Member (MIMechE), Institution of Mechanical Engineers (IMechE), UK
  • Professional Technologist (PTech), Malaysian Board of Technologists (MBOT), Malaysia
  • Member, Technological Association Malaysia (TAM), Malaysia 

Areas of Teaching and Research Interest

  • Complex systems modelling
  • Future energy systems
  • Systems thinking in sustainability and socio-technical systems analysis

Notable Publications

  • Liew, Y.Z. et al. (2024). Systems thinking on Artificial Intelligence integration into higher education: Causal loops. Complex Systems with Artificial Intelligence. Sustainability and Self-Constitution.
  • Mustapha, K. B. et al. (2024). Bard, ChatGPT and 3DGPT: a scientometric analysis of generative AI tools and assessment of implications for mechanical engineering education. Interactive Technology and Smart Education.
  • Nair, K., et al. (2021). Developing a system dynamics model to study the impact of renewable energy in the short-and long-term energy security. Materials Science for Energy Technologies.

Prof Anwar P.P. Abdul Majeed

Prof Anwar P.P. Abdul Majeed is a Professor of Applied Artificial Intelligence and Head of the Department of Data Science and Artificial Intelligence at the Faculty of Engineering and Technology, Sunway University. He is a Chartered Engineer (IMechE), a member of IET, and a Senior Member of IEEE. With over 200 publications and editorial contributions to leading journals and book series, his work focuses on advancing machine learning and deep learning applications across multiple domains. He is also actively involved in the scientific community through professional bodies and the Young Scientists Network of the Academy of Sciences Malaysia.

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Academic Qualifications & Professional Memberships

  • PhD (Rehabilitation Robotics), Universiti Malaysia Pahang Al-Sultan Abdullah, Malaysia (2018)
  • MSc (DIC) Nuclear Engineering, Imperial College London, UK (2013)
  • BEng Mechanical Engineering, Universiti Teknologi MARA, Malaysia (2010)
  • Chartered Engineer (IMechE)
  • Member, Institution of Engineering and Technology (IET)
  • Senior Member, Institute of Electrical and Electronics Engineers (IEEE)

Areas of Teaching and Research Interest

  • Application of Machine Learning and Deep Learning
  • Sports Engineering and Performance Analysis
  • Modelling and Control
  • Mechanics, Dynamics and Control
  • Programming Principles and Applied Machine Learning

Notable Publications

  • Nazarudin MN et al. (2024). Disciplinary measures defining referee activity in top-European football leagues. Heliyon.
  • Cheng TJ et al. (2022). Vision-based human detection by fine-tuned SSD models. International Journal of Advanced Computer Science and Applications.
  • Almanifi OR et al. (2022). Heartbeat murmurs detection via transfer learning. Alexandria Engineering Journal.
  • Musa RM et al. (2021). Identification of high-performance volleyball players using machine learning. Proceedings of the IMechE, Part P.
  • Bari BS et al. (2021). Diagnosing rice leaf disease using deep learning. PeerJ Computer Science.

Secretary

Ts Dr Elamaran Manoharan

Ts Dr Elamaran A/L Manoharan is a Lecturer at the School of Technology and Engineering Science, Wawasan Open University. He holds a PhD in Construction Management and has academic and research experience in sustainable construction and environmental management. His work focuses on construction waste management, waste-to-wealth approaches, and the development of sustainable environmental practices within the construction industry.

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Academic Qualifications & Professional Memberships

  • PhD (Construction Management), Universiti Teknologi Malaysia (UTM)
  • Bachelor of Technology Management (Construction) (First Class Honours), Universiti Tun Hussein Onn Malaysia (UTHM)

Areas of Teaching and Research Interest

  • Solid waste management
  • Waste management technologies
  • Environmental management
  • Waste-to-wealth approaches
  • Sustainable construction

Notable Publications

  • Manoharan, E. et al. (2021). A review of hazardous compounds present in construction waste materials. Environment and Ecology Research.
  • Manoharan, E. et al. (2020). Integrated approach as a sustainable environmental technique for construction waste management. Journal of Environmental Treatment Techniques.
  • Manoharan, E. (2018). Principal factors impacting labour productivity in Malaysian construction industry. International Journal of Science and Engineering Investigations.
  • Manoharan, E. (2017). Awareness of BIM implementation among construction management students. International Journal of Novel Research in Engineering and Science.

Treasurer

Ts Shirley Tan Cheng Peng

Ts Shirley Tan Cheng Peng is a Lecturer at the School of Technology and Engineering Science, Wawasan Open University. She has over 20 years of combined industry and academic experience in Information Technology and Multimedia, with expertise spanning digital marketing, business IT, software development, and programming. Her professional work includes course content development in technopreneurship and digital marketing, alongside active involvement in applied educational technology projects.

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Academic Qualifications & Professional Memberships

  • Master of Information Technology (Technopreneurship), Universiti Sains Malaysia (USM), Malaysia
  • Bachelor (Hons) Multimedia, Universiti Utara Malaysia (UUM), Malaysia
  • Diploma in Electronics Engineering, Politeknik Kota Bharu, Kelantan
  • Professional Technologist, Malaysian Board of Technologists (MBOT)
  • Graduate Technologist, Malaysian Board of Technologists (MBOT)
  • Global Member, Internet Society

Areas of Teaching and Research Interest

  • Technopreneurship
  • Multimedia development
  • Information Technology
  • Digital marketing
  • Software development and programming

Notable Publications

  • Im, Y. C. et al. (2022). Learning effectiveness of virtual land surveying simulator for blended ODL during COVID-19. International Journal of Advanced Computer Science and Applications.
  • Lim, S. C. et al. (2013). Consumer perspectives on SME reluctance towards e-commerce adoption. International Journal of Information Systems and Engineering.
  • Tan, C. P. et al. (2012). User intention of installing home security systems in Malaysia. Journal of Han Chiang College.
  • Mydin, A. J. P. et al. (2012). Using Gianthello to improve grammar among Generation Z. Journal of Han Chiang College.
  • Tan, C. P. (2011). E-business solution with DIY e-business startup kit. Proceedings of ICFIT 2011.

Publication

Assoc Prof Dr Teoh Ping Chow

Assoc Prof Dr Teoh Ping Chow is an Associate Professor at the School of Technology and Engineering Science, Wawasan Open University. He has extensive industry experience in manufacturing engineering, having served in senior engineering and R&D roles in multinational organisations. His expertise spans data-driven manufacturing, lean manufacturing systems, knowledge management, and reliability engineering, with a strong focus on bridging industrial practice and academic application. Dr Teoh has nine US patents from his work with Motorola.

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Academic Qualifications & Professional Memberships

  • PhD (Manufacturing Engineering), Loughborough University
  • BEng (Mechanical Engineering), Universiti Malaya
  • Graduate Engineer, Board of Engineers Malaysia

Areas of Teaching and Research Interest

  • Data-driven manufacturing
  • Lean manufacturing
  • Knowledge management
  • Failure Mode and Effects Analysis (FMEA)

Notable Publications

  • Koay, F. T. et al. (2023). ARIZ-based model for smart manufacturing decision making. Malaysian Journal of Computer Science.
  • Ng, W. C. et al. (2020). Inter-rater reliability of technicians in manufacturing environment. Compusoft.
  • Siew, J. P. et al. (2016). Interactive mobile learning application using machine learning in manufacturing. International Journal of Mobile Learning and Organisation.
  • Teh, S. Y. et al. (2015). Statistical process control for process improvement in industry: a case study. Advanced Science Letters.
  • Teoh, P. C. & Case, K. (2004). Failure modes and effects analysis through knowledge modelling. Journal of Materials Processing Technology.

Assoc Prof Dr Ki-Young Song

Assoc Prof Dr Ki-Young Song is an Associate Professor at the School of Robotics, Xi’an Jiaotong-Liverpool University (XJTLU), China. He obtained his PhD in Biomedical Engineering from the University of Saskatchewan, Canada, and has held postdoctoral appointments at the University of Tokyo, Japan, and Karolinska Institutet, Sweden. Prior to joining XJTLU, he was an Associate Professor at the School of Mechatronic Engineering, Beijing Institute of Technology. His research spans soft robotics, additive manufacturing, microsystems, intelligent control, and system design.

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Academic Qualifications & Professional Memberships

  • PhD in Biomedical Engineering, University of Saskatchewan, Canada (2011)
  • Master in Mechanical Engineering, University of Saskatchewan, Canada (2004)
  • Bachelor in Mechanical Engineering, Mokpo National University, South Korea (2001)

Areas of Teaching and Research Interest

  • Soft robotics (soft sensors, soft actuators, soft medical devices)
  • Additive manufacturing (3D/4D printing)
  • Deep learning (intelligent control, image analysis)
  • Microsystems (BioMEMS, MEMS)

Assoc Prof Ir Dr Riady Siswoyo Jo

Assoc Prof Ir Dr Riady Siswoyo Jo currently serves as Programme Leader for the Bachelor of Mechatronic Engineering with Honours at Sunway University’s School of Engineering, Faculty of Engineering and Technology. He is a Senior Member of IEEE, a Chartered Professional Engineer, APEC Engineer, and International Professional Engineer with Engineers Australia, as well as a Professional Engineer registered with the Board of Engineers Malaysia. An HRDF Certified Trainer, he has received multiple innovation awards and is the inventor of two Malaysian patents. His work spans robotics, automation, and AI applications, alongside contributions to engineering education.

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Academic Qualifications & Professional Memberships

  • PhD, Swinburne University of Technology, Australia (2016)
  • BEng (Hons) Robotics and Mechatronics, Swinburne University of Technology Sarawak Campus, Malaysia (2011)
  • Professional Engineer (Mechatronics), Board of Engineers Malaysia
  • Chartered Professional Engineer, APEC Engineer and International Professional Engineer, Engineers Australia
  • Senior Member, Institute of Electrical and Electronics Engineers (IEEE)

Areas of Teaching and Research Interest

  • Engineering education
  • Robotics, automation and control systems
  • Internet of Things (IoT) applications
  • AI applications in robotics
  • Small-scale energy harvesting
  • Numerical solutions for non-linear PDEs
  • Embedded systems, sensors and actuators
  • Engineering design and smart systems

Notable Publications

  • Jo, R. S. & Sheraly, M. R. (2023). Design and development of 2-DOF active revolute joint for robot actuation. IEEE TENSYMP.
  • Jo, R. S. & Jo, H. S. (2022). DC motor system identification simulator app for online learning. IEEE ICSPC.
  • Jan, O. R. et al. (2022). Real-time flood monitoring using edge computing-based IoT. Future Internet.
  • Chew, K. T. et al. (2021). Smart agriculture using IoT technologies. IEEE ISCAIE.
  • Shuvo, M. A. F. et al. (2020). 4-DOF robot manipulator for automated production. IEEE ISIEA.

Programme Manager

Dr Nurul ‘Ulyani Mohd Najib

Dr Nurul ‘Ulyani Mohd Najib is a Senior Lecturer at the School of Technology and Engineering Science, Wawasan Open University. She is currently Programme Lead for the MBA in Construction Management programme and serves as a journal reviewer for several international publications, including the Journal of Housing and the Built Environment, Africa Education Review, and the International Journal of Real Estate Studies. Dr Nurul’s research focuses on sustainable construction, facilities management, and built environment performance, with particular emphasis on post-occupancy evaluation, service quality, and residential satisfaction. She also serves as a MyRA Internal Auditor.

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Academic Qualifications & Professional Memberships

  • PhD in Project Management (Facilities Management), Universiti Sains Malaysia (USM)
  • MSc in Project Management (Facilities Management), Universiti Sains Malaysia (USM)
  • BSc (Hons) Housing, Building and Planning (Construction Management), Universiti Sains Malaysia (USM)

Areas of Teaching and Research Interest

  • Green and sustainable construction
  • Facilities management
  • Post-occupancy evaluation
  • Service quality performance
  • Residential satisfaction

Notable Publications

  • Arshard, W. N. R. M. et al. (2025). Hygiene challenges in old public housing: case study of Rifle Range Flat. Built Environment Journal.
  • Mohd Najib, N. U. et al. (2023). Adoption and adaptation of CEEQUAL sustainability attributes in Malaysian infrastructure projects. IOP Conference Series: Earth and Environmental Science.
  • Mohd Najib, N. U. & Ghazali, F. E. M. (2020). Government policy on environmental sustainability in construction projects. Lecture Notes in Civil Engineering.
  • Jusoh, J. et al. (2015). Tourist expectations and satisfaction of heritage attractions in Melaka. Pertanika Journal of Social Sciences & Humanities.
  • Yusof, N. A. et al. (2014). Communication influence on maintenance service performance in public housing. International Journal of Strategic Property Management.
  • Mohd Najib, N. U. et al. (2011). Student residential satisfaction in research universities. Journal of Facilities Management.

Promotion/Outreach

Steven Khor Seng Cheong

Steven Khor Seng Cheong is Head of WOU Academy (Northern Region) at Wawasan Open University. He leads outreach and engagement initiatives in the northern region, working closely with industry stakeholders and employers to co-create upskilling pathways and corporate training programmes for the workforce.

Lee Shik Kee

Lee Shik Kee is Senior Manager, Regional Operations and Marketing at Wawasan Open University. He supports strategic outreach and marketing initiatives focused on developing corporate training solutions that help address talent gaps in businesses and across industry sectors.

Dr Shahrooz Eftekhari

Dr Shahrooz Eftekhari is a Lecturer at the School of Engineering, Faculty of Engineering and Technology, Sunway University. He completed his doctoral studies at Taylor’s University, where his research focused on bio-inspired aerodynamic performance enhancement of mini unmanned aerial vehicles (UAVs). He has extensive experience in Computational Fluid Dynamics (CFD) and has collaborated with multinational companies on aerodynamic and flow-related analyses across aviation, automotive, and built environment applications.

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Academic Qualifications & Professional Memberships

  • D.Phil. in Engineering, Taylor’s University, Malaysia (2024)
  • M.Sc. in Engineering, Taylor’s University, Malaysia (2018)
  • B.Eng. (Hons), Taylor’s University, Malaysia (2014)
  • Registered Engineer, Board of Engineers Malaysia

Areas of Teaching and Research Interest

  • Computational Fluid Dynamics
  • Aerodynamic performance analysis
  • Fixed-wing drone design
  • Advanced Fluid Dynamics
  • Computer-Aided Design

Notable Publications

  • Eftekhari, S. et al. (2023). Effect of alula span and deflection angle on aerodynamic efficiency of bio-inspired UAV wings. Journal of Unmanned Systems.
  • Eftekhari, S. et al. (2023). Alula effect on aerodynamic performance of small UAV wing configuration. Journal of Physics: Conference Series.
  • Eftekhari, S. et al. (2020). Investigation of NACA0012 finite wing aerodynamics at low Reynolds numbers. Journal of Aerospace and Technology Management.
  • Eftekhari, S. et al. (2020). Effect of spoiler shape and setting angle on racing car aerodynamics. Indonesian Journal of Science and Technology.
  • Eftekhari, S. et al. (2019). Performance optimisation of a fixed-wing mini UAV. Indonesian Journal of Science and Technology.

Technical/Logistics

Christine Tan Yew Ling

Christine Tan Yew Ling is an Executive in Administrative and Academic Services at Wawasan Open University, where she provides operational and administrative support to the School of Technology and Engineering Science. Her role involves coordinating academic processes, supporting faculty and programme activities, and ensuring the smooth delivery of day-to-day administrative functions.

Dr Teh Sze-Hong

Dr Teh Sze-Hong is an Assistant Professor at the School of Robotics, Xi’an Jiaotong-Liverpool University (XJTLU). He received his MEng (Hons) and PhD in Mechanical Engineering from the University of Nottingham. Prior to joining XJTLU, he was with the Department of Mechanical, Materials and Manufacturing Engineering at the University of Nottingham, where he began his academic and research career. His research focuses on nonlinear dynamics, intelligent control systems, biomimetic robotics, computer vision, and machine learning, with active collaborations across the UK, China, and Malaysia.

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Academic Qualifications & Professional Memberships

  • PGCert in Teaching and Supporting Learning in Higher Education, Xi’an Jiaotong-Liverpool University (2023)
  • PhD in Mechanical Engineering, University of Nottingham (2016)
  • MEng (Hons) Mechanical Engineering, University of Nottingham (2011)
  • Associate Member of the Institution of Mechanical Engineers (AMIMechE)
  • Fellow of the Higher Education Academy (FHEA).

Areas of Teaching and Research Interest

  • Applied nonlinear dynamics
  • Nonlinear vibration analysis
  • Intelligent control of nonlinear multivariable systems
  • Biomimetic robotics
  • Computer vision
  • Machine learning