DR. MUHAMMAD FAISAL BIN KHYASUDEEN

Dr. Muhammad Faisal Khyasudeen is an expert in ultrafast femtosecond laser spectroscopy, with over a decade of experience in the field. He earned his Ph.D. from Nanyang Technological University (NTU), Singapore, under the mentorship of Prof. Tan Howe Siang at the School of Physical and Mathematical Sciences (SPMS). During his doctoral research, he developed and optimized ultrafast transient absorption and multidimensional optical spectroscopy experiments, focusing on the study of chlorophylls and light-harvesting complexes (LHC) systems. His findings have been published in several respected peer-reviewed journals. Dr. Faisal has strong expertise in ultrafast laser systems, including Ti:Sapphire amplifiers and Non-collinear Optical Parametric Amplifiers (NOPAs) for generating ultrashort laser pulses. Currently, he is a senior lecturer in the Department of Chemistry at the University of Malaya (UM), where he also coordinates ultrafast laser research activities in the High Impact Research (HIR) building. He is now venturing into a new research field on multi-resonant thermally activated delayed fluorescence (MR-TADF) compounds using ultrafast spectroscopy techniques.  

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DR. ZAFIRA NADIA BINTI MAAZ

Senior Lecturer | Researcher in AI, Big Data, Construction Management and Sustainable Construction Dr. Zafira Nadia Maaz is a Senior Lecturer at the Department of Quantity Surveying, Universiti Malaya, specializing in artificial intelligence (AI), big data analytics, and digital governance for the built environment. Her research focuses on AI-driven decision intelligence, data driven decision making, data governance, carbon management, and digital transformation in construction. She has played a key role in Construction 4.0 initiatives under the Malaysian Construction Industry Development Board (CIDB), contributing to the digitalization and modernization of construction practices through Big data. She has secured multiple government-funded and industry-funded research grants and collaborated with key stakeholders, including the Ministry of Works Malaysia, RISM, CIDB, IEM, and JKR. She actively published in WoS and Scopus journals as well as co-authored several industry report, offering insights into Malaysia’s digitalization and data analytics in construction landscape. In 2023, she was invited to present her research on data analytics and AI at the University of Cambridge, a prestigious engagement funded by the Ministry of Higher Education Malaysia. She is also the youngest female recipient of the RICS Young Achiever Award in Southeast Asia, distinction that acknowledges her contributions to advancing big data and AI applications in quantity surveying and the built environment. Beyond her academic and research pursuits, she is known for her open-minded and progressive approach to leadership, fostering a collaborative and innovative learning environment for students and professionals alike. She is deeply passionate about translating research into practical solutions that drive the construction industry forward through AI, data-driven governance, and sustainability.

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DR. TAN KIM KEE

Dr. Kim-Kee Tan received her Ph.D. and training in molecular virology at the Faculty of Medicine, Universiti Malaya. Currently, she serves as Senior Lecturer at the Tropical Infectious Diseases Research and Education Centre (TIDREC), Universiti Malaya and the Department of Biomedical Science, Faculty of Medicine, Universiti Malaya. Her research focuses on emerging viral pathogens, integrating genomic and bioinformatic approaches to investigate virus emergence, evolution, and transmission across human, animal, vector, and environmental interfaces. Her work engages new research technologies, such as Next Generation Sequencing (NGS). Besides that, she is also a trainer for biosafety and biosecurity training; hence she has vast experience designing workflow and handling different types of pathogens. She has a strong interest in genomic surveillance and pandemic preparedness, with projects spanning viral discovery, phylogenetics, and molecular epidemiology.

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