Interested in computer-aided drug discovery. Developed Self-Evolving Peptide Algorithm (SEPA) for the better virtual screening of potential peptides towards specific drug target. SEPA is available here: https://drive.google.com/drive/folders/1aEmCaSIkXdEJcAX8X1qPNJrzhBGSKv7p or https://github.com/RyanHeh/SEPA  

Prof Dr Siti Nursheena is a parasitologist in the Institute of Biological Sciences, Faculty of Science. Her expert area is in the field of mammalian helminthology and molecular parasitology to which she obtained her PhD from Royal Holloway, University of London, UK. Her research interests covers host-parasite interactions and epidemiology of a wide range of zoonotic parasites from protozoans, helminth and ectoparasites especially from stray animals, rodents and more recently human. Presently, she is the team leader for an epidemiological investigation into the incidence of parasitic infections among vulnerable community particularly among migrant workers, refugees and the urban poor. Dr Sheena also actively contributes to the Malaysian Society of Parasitology and Tropical Medicine, and was the vice president in 2016-2018 and president in 2018-2020. She contributes her time also on  2 editorial boards; the Tropical Biomedicine (Q3) as chief-in-editor and the editorial board member for Parasitology (Q1).

Wong Jee Keen Raymond received the Bachelor of Electrical and Electronics Engineering (1st Class Honors) and Master of Electrical Engineering from Universiti Tenaga Nasional in 2010 and 2013 respectively. He obtained his PhD from Universiti Malaya in 2016. He worked as a Product Engineer at Motorola Solutions (2010-2011), Senior Lecturer (2016-2018), and Programme Leader (2019-2021) at Tunku Abdul Rahman University College. Since 2021, he has been working as a Senior Lecturer at Universiti Malaya. He is a Chartered Engineer (CEng UK), Professional Engineer (PEng BEM), Senior Member of IEEE, Member of IET, Member of IEM, and Professional Technologist of MBOT. He was the Honorary Secretary for IEEE Dielectrics and Electrical Insulation Society (DEIS) Malaysia from 2020-2023. His main research interests include insulation condition monitoring, partial discharge phenomenon, machine learning, and deep learning applications in fault location and classification. To date, he has secured over RM 923,649.28 in grant funding, where RM 541,990 of it as the Principal Investigator.