Dr. Jo-Han Ng

Dr. Jo-Han Ng

Position
Head of Research

Dr Ng Jo-Han is a trained mechanical engineer who is lecturing in the University of Southampton Malaysia. He obtained his Bachelor of Mechanical Engineering (Honours) with First-Class classification in 2007 from the University of Nottingham Malaysia Campus and was offered a fully paid research scholarship to conduct his PhD research in the same university.

The nature of his PhD led him to conduct research work in the trans-disciplinary field of mechanical/automotive and chemical (kinetics) engineering. Recognition was given when he was also awarded scholarships by the Swiss-based ‘World Federation of Scientists’ to conduct research on the planetary emergencies of “Energy” (Renewable Energy) for 2009-2011.

  • Renewable energy. Particularly biodiesel fuels, from an experimental, theoretical, and computational fluid dynamics point-of-view.

PhD Supervision

Research-based PhD and master’s positions are available for work to be done in the field of renewable energy, particularly to tackle the problems related to biodiesel production.

The scope and focus of the project offered will be defined based on the applicant's academic background and research interest.

Scholarships may be available to outstanding applicants. Interest applicants should have a background in any of the following disciplines:

  • Engineering (any discipline)
  • Chemistry (applied chemistry and pure chemistry)
  • Computer science

*For more information, please kindly write to Dr Ng Jo-Han.

Research projects

Reaction Kinetics Mechanism of a Novel Enhanced-Mixing Transesterification for Biodiesel Production. The crises of fossil fuel uncertainty and environmental issues has led to biodiesel being in prime position as an alternative to fossil diesel. This is because of its uniqueness in being compatible with present-day diesel infrastructures, renewable and scientifically verified to be more environmentally friendly. Despite governmental fiscal incentives and abundance availability of biodiesel feedstock, its usage is still uncommon. Conventional batch reaction transesterification for biodiesel production is inefficient, increasing cost of production. This can be attributed to the lack of detailed understanding of underlying reaction mechanism and its associated mass transfer and chemical kinetics rates. Little is understood on how the operating and reactor parameters limit biodiesel transesterification from a reaction mechanism point-of-view.

Dr. Sagaya Amalathas

Dr. Sagaya Amalathas

Position
Head of Computer Science Programme

Dr Sagaya Amalathas is an Associate Professor and the Head of the Computer Science Programme at the University of Southampton, Malaysia.

She obtained her PhD in Computer Science from the University of Canterbury, New Zealand. During her PhD candidature, she was awarded the Anita Borg Memorial Scholarship and Asia Pacific Society of Computers in Education (APSCE) merit award. She has also attained a Certificate in Big Data and Business Analytics from Harvard Business School.

Dr Sagaya has extensive experience not only in academia and research but also in the computing industry. She has played vital roles in research, design, development, and implementation of applications that are widely used in the agriculture technology, medical and telecommunication industries in Malaysia. She was a Senior Researcher in Artificial Intelligence at MIMOS, Malaysia's national applied research and development centre under the Ministry of Science, Technology and Innovation (MOSTI). She has also successfully managed software projects in Malaysia, Indonesia, and Philippines.

Prior to joining University of Southampton, she held academic leadership roles at UNITAR International University and Taylor’s University Malaysia. She has a strong passion for curriculum innovation. She is committed towards achieving growth and innovation in Computer Science education in Malaysia and the wider region of South East Asia through academic excellence, industry engagement and research.

Current Research Focus:

  • Artificial Intelligence technologies
  • Big Data Analytics, and Internet of Things (IoT)

Topics of interest:

  • Artificial intelligence techniques for plant disease and nutrient deficiency detection
  • Retail analytics using Big Data Analytics
  • Diagnostic and predictive analytics for software error
  • Text analytics and sentiment analysis
  • Intelligent and contextualised learning techniques.   
Dr. Suan Hui Pu

Dr. Suan Hui Pu

Position
Head of Mechanical Engineering and Aeronautics & Astronautics Programmes

Dr. Suan Hui Pu received the MEng degree in mechanical engineering from Imperial College London. He remained at Imperial for his PhD where he worked on micro-electro-mechanical systems (MEMS) design and fabrication. Prior to joining the University of Southampton Malaysia, he was working in the semiconductor manufacturing industry. His current research interests include printed flexible electronics and wearable sensors.

He is a visiting academic in the Faculty of Engineering and Physical Sciences at the University of Southampton, UK. Dr Pu has served as a technical committee member for IEEE Electronics Packaging Technology Conference (EPTC) and a reviewer for IOP Smart Materials and Structures, IOP Flexible and Printed Electronics and IEEE Journal of Microelectromechanical Systems, amongst others. He is a Senior Member of the IEEE and a Fellow of the Higher Education Academy (FHEA) UK.

Printed electronics and sensors, Wearable sensors for health monitoring, MEMS/NEMS sensors and actuators, Energy harvesting

Grants:

  • Co-I, MOHE Malaysia, FRGS/1/2021/TK0/USMC/03/4
  • Co-I, MOE Malaysia, FRGS/1/2018/TK10/USMC/03/1
  • Co-PI, Essilor Amera Pte Ltd, Singapore, 2016
  • Co-PI, NRF Singapore, NRF2014NRF-POC002-035, 2014 to 2016
  • PI, CREST Grant, Malaysia, 2014, PC01C2-14
  • PI, MOHE Malaysia, FRGS/2/2014/TK03/USMC/02/1
  • Co-I, MOHE Malaysia, FRGS/1/2014/TK01/USMC//1
  • PI, UoS Internationalisation Fund Award, 2012
  • PI, MOHE Malaysia, FRGS/1/2012/TK02/USMC/03/2

Research project(s):

  • Printed sensors for wearable health monitoring
  • Triboelectric nanogenerators for energy harvesting
  • Wearable technology for myopia prevention

PhD Supervision:

  • Xue Chen (2025) – Smart composite materials
  • Deladem Agbelengor (2025) - Printed sensors for wearable health monitoring
  • Deborah Carey (2025) – Wearable technology for health applications
  • Alasdair Brown (2021) – Metal halide perovskite devices
  • Ulises Tronco Jurado (2020) – Energy harvesting using triboelectric nanogenerators
  • Samuel Jellard (2019) – Energy harvesting using water drop impacts
  • Ting Yang Ling (2019) – Thin-film nanographite moisture and gas sensors
  • Sahar Mirzaei (2018) – Metamaterial sensors for biosensing
  • Sam Fishlock (2016) – Nanographite MEMS and membranes
  • Graham Wood (2016) – Coupled-resonator MEMS sensor
  • Chun Zhao (2016) – Coupled-resonator MEMS sensor

I am actively seeking qualified candidates to work on a PhD project along my research interests. Funding is available for outstanding candidates.

Consultancy:

  • Printed/flexible sensor development
  • MEMS fabrication process development
  • MEMS/NEMS modelling and design
Dr. Siow Yong Low

Dr. Siow Yong Low

Position
Head of Electrical and Electronic Engineering Programme

Dr. Siow Yong Low is an Associate Professor and Head of the EEE Programme at the University of Southampton Malaysia. He was a recipient of the Australian funded CIS and the APA scholarships for both his undergraduate and postgraduate studies in Australia.

From 2005 – 2010, he held a variety of post-doctoral and research engineer posts in WA Australia before moving to the Department of Electrical and Computer Engineering, Curtin University, Sarawak campus as a Senior Lecturer. He has taught broadly on the EEE curriculum, in particular teaching electrical systems, signals and systems, microprocessors, and software technology. As an electronics and communications engineer, Siow Yong applies his research in signal processing into making assistive listening devices and hearing aids more responsive and seamless for the hearing impaired.

Siow Yong’s research is in the broad area of acoustics signal processing. In simple terms, his research involves the electronic manipulation of acoustic signals. One example is speech enhancement applications such as assistive listening devices and hearing aids, where noisy speech signals can be processed in such a way that the noise signal is reduced, and the overall speech intelligibility is increased. Currently, he is looking into the segregation capability of the modulation space in noisy settings and to establish key speech modulation features most relevant to speech intelligibility. In addition to academic teaching and research, he has provided consultancy work for the industry and forensic audio analyses for the Australian police.

  • Signal processing for acoustic applications
  • Compressive speech enhancement Blind signal extraction
  • Sensor array networks.