Dr. Lai received his Ph.D. from Universiti Teknologi Malaysia (UTM) and Technische Universität Ilmenau under the DAAD Ph.D. Sandwich Programme, and was conferred the prestigious Chancellor Award by the Queen of Johor. He is currently an Associate Professor at the Department of Biomedical Engineering as well as the Chief Technology Officer (CTO) of BioSight Sdn Bhd, a spin-off company of Universiti Malaya. Dr. Lai has been instrumental in fostering industry-academic collaborations, leading multiple industrial consultation projects. His contributions to science and technology, particularly in medical engineering, have been significant. His research focuses on the development of innovative biomedical devices, including a portable, non-invasive scoliosis detection system and a point-of-care device for knee osteoarthritis diagnosis using vibroarthrography (VAG). More recently, he has pioneered novel machine learning approaches for automated cartilage pattern recognition in magnetic resonance imaging (MRI), reducing the need for extensive human intervention. His work has gained substantial interest from both local and international industries. Recognized for his excellence in research and education, Dr. Lai has received more than 30 prestigious international and national awards. These include multiple Special Awards and Gold Medals, as well as Best of the Best Awards from ITEX, MTE, i-ENVEX, AiNEX, PECIPTA, and BioMalaysia Expo, among others. He has also represented Universiti Malaya in global competitions such as iCREATe in Singapore, Thailand, and Japan. Additionally, he has been honored with accolades such as the Best Presentation Award from Fukuoka University (Japan), the Best Sustainable Prototype Award at Digital Wonderland Singapore Expo 2019, an Honorable Mention Award at NSIEC 2020 (Taiwan), and the First Runner-Up Award at the Brunei Crown Prince CIPTA 2021 competition. In recognition of his achievements, he was elected as a Member of the Young Scientists Network - Academy of Sciences Malaysia (YSN-ASM) in 2021 and as a board member of the World Academy of Sciences (TWAS) Young Affiliates Network (TYAN). Dr. Lai has authored over 140 peer-reviewed publications indexed in ISI/Web of Science (WoS) and Scopus, with an h-index of 22. His work has led to the granting of 17 patents and intellectual property rights. As principal investigator or co-researcher, he has successfully completed 22 funded projects and is currently leading 13 ongoing research initiatives supported by government agencies, industry partners, and international collaborators. As a credentialed engineer, Dr. Lai is a registered Professional Engineer with a Practicing Certificate (PEPC) at the Board of Engineers Malaysia (BEM) and holds several esteemed engineering titles, including Fellow of Engineers Australia (FIEAust), APEC Engineer (IntPE Australia), Chartered Professional Engineer (CPEng, NER Australia), Fellow and Council Member of the Institution of Engineers Malaysia (IEM), Senior Member of IEEE (USA), Member of the Institution of Engineering and Technology (IET), Chartered Engineer (CEng, UK), and Professional Technologist at the Malaysia Board of Technologists (MBOT). Dr. Lai is actively involved in academic and professional service, serving as a Technical Programme Committee (TPC) member and reviewer for over 50 international conferences, workshops, and journals. He has delivered more than 20 keynote and invited talks at international conferences. Additionally, he serves on the editorial boards of several indexed journals, including as Associate Editor of IEEE Access and IET Image Processing, and as Lead Guest Editor for journals such as Multimedia Tools and Applications and Current Medical Imaging. Beyond his academic and research endeavors, Dr. Lai plays a pivotal role in engineering education. He is the key resource person for curriculum development and accreditation reviews (EAC/MQA/QMEC) in his department and serves as an Accreditation Panel member under the Board of Engineers Malaysia. In 2018, he was appointed as a Fellow under the Ministry of Education Malaysia’s CEO@Faculty Programme, working with C-suite executives at PLUS Malaysia Berhad on digital innovation strategies for IR4.0 transformation. He played a key role in developing commercial strategies for the PLUS Video Analytics (VA) Infrastructure, a project with an investment exceeding RM20 million. Dr. Lai’s research excellence has been recognized with numerous awards, including the ACU Fellowship by the Association of Commonwealth Universities (UK) in 2021 for his research on hospital readmission risks among recovered COVID-19 patients. He was also honored with the IEM Young Engineer Award 2021, the IEEE-EMBS Early Career Achievement Award 2021, and the BEM Malaysia Most Prominent Young Engineering Leader Award (Tokoh Muda) 2022, presented by the Prime Minister of Malaysia. In 2024, he received the Anugerah Penyelidik Muda Cemerlang (Bidang Sains) from Universiti Malaya. As the head of the Advanced Analytics Research Group at the Medical Imaging Laboratory, Dr. Lai has supervised 75 postgraduate students (19 PhD, 9 MSc, and 19 MEng completed; 21 PhD and 7 MSc ongoing). His research team has secured over RM5 million in funding for healthcare technology, medical imaging, and bioinstrumentation projects. His innovations have led to the development of clinically impactful diagnostic prototypes, including OsteoKneeKit™ and Scoltech™, both of which are currently undergoing commercialization. The Scoltech™ project has been approved under the UM Deep Tech Accelerator Programme with RM50,000 in seed funding, with Dr. Lai serving as CTO. Additionally, Dr. Lai contributes as an external examiner for PhD and MSc dissertations, both locally and internationally, and serves as a professional mentor for IEM (Malaysia) and Engineers Australia. He is also an external assessor for higher learning accreditation frameworks, an advisor for industry-academic liaison units, and a board member for Universiti Sains Islam Malaysia’s (USIM) new technologist programme. Furthermore, he serves on the Disciplinary Committee Panel of the Advocates and Solicitors Disciplinary Board (ASDB) under the Bar Council Malaysia.  

Dr. Hemza Azri is currently a senior lecturer at the Department of Physics, Faculty of Science, Universiti Malay. His research interests lie broadly in high energy physics, with a focus on various aspects of gravity and the interplay between elementary particle physics and cosmology. Over the course of his academic career, he has visited leading research institutions, including the International Centre for Theoretical Physics (ICTP) in Trieste, Italy; Nordita in Stockholm, Sweden; and the Instituto de Física Teórica (IFT) in Madrid, Spain. He has also contributed to the UAE–ATLAS (CERN) collaboration. Alongside his research activities, he has developed a strong profile as a teacher of physics. In his lectures, he places particular emphasis on clarity and logical structure, using well-chosen examples to guide students through challenging material and to encourage genuine understanding rather than rote learning. His commitment to effective communication also extends beyond the classroom: he is capable of presenting advanced physical ideas in a way that is accessible to non-specialists. By presenting complex ideas in clear and accessible language, he helps a wider audience understand and appreciate physics and engage with science.

Dr. Elayaraja Aruchunan is a distinguished scholar, researcher, and industry expert specializing in data science for ESG (Environmental, Social, and Governance), applied machine learning, and computational analytics. With over 18 years of experience, he has made groundbreaking contributions to numerical analysis, computational applied statistics, and big data analytics, earning a reputation as a thought leader in the field. His academic journey commenced in 2008 at Curtin University Malaysia, where his exceptional research led to the prestigious Australian Government Scholarship in 2012, enabling him to pursue a PhD at Curtin University, Australia. Successfully completing his doctorate in 2018, Dr. Aruchunan continued his tenure at Curtin until 2020 before joining Universiti Malaya, where he currently serves as a senior lecturer in the Department of Decision Science, Faculty of Business and Economics. His work focuses on ESG data science, decision analytics, and AI-driven sustainability solutions, positioning him at the forefront of transformative research in these areas. Dr. Aruchunan’s expertise extends beyond academia into real-world problem-solving through advanced machine learning and deep learning applications. His research is dedicated to developing innovative algorithms and methodologies that address complex challenges in big data analytics, predictive modeling, and applied mathematics. His prolific contributions are widely recognized, with numerous high-impact journal publications, conference presentations, and research projects funded by national and international bodies. A passionate educator, Dr. Aruchunan is also an accredited HRD Corp trainer, conducting specialized training programs for government agencies and industry professionals. His training focuses on big data, data science, machine learning, and deep learning, equipping participants with cutting-edge skills in Python applications, data mining, and applied AI. His programs are meticulously designed to bridge academic theory and industry applications, empowering professionals with practical expertise in the evolving digital landscape. Beyond research and training, Dr. Aruchunan is committed to STEM education outreach and academic collaboration, mentoring postgraduate scholars, and engaging in knowledge-sharing initiatives with both local and international researchers. He is an active member of several esteemed professional bodies, including IEEE, PERSAMA, IAENG, and IACSIT, reinforcing his influence in the global data science community. In recognition of his outstanding contributions, Dr. Aruchunan was appointed to the prestigious Young Scientist Network by the Academy of Sciences Malaysia, a testament to his leadership in scientific research and his dedication to advancing Malaysia’s research capabilities. With an unwavering commitment to data-driven innovation, education, and sustainability, Dr. Elayaraja Aruchunan continues to shape the future of ESG analytics, AI-driven decision-making, and applied machine learning, leaving a profound impact on academia, industry, and society.