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Dr. Mirza Rayana Sanzana is an interdisciplinary AI researcher, academic, and innovation leader whose work sits at the intersection of artificial intelligence, sustainable infrastructure, energy systems, and digital transformation. Currently serving as a lecturer and researcher at Monash University Malaysia, she has built an international reputation for applying advanced machine learning and deep learning methodologies to real-world sustainability challenges. With a PhD that bridges computer science and civil engineering, Dr. Sanzana's research has contributed to smarter energy systems, climate-resilient infrastructure, and technology-driven solutions that create meaningful societal impact. Her work reflects a commitment to leveraging emerging technologies for a more sustainable, inclusive, and intelligent future.
Dr. Tan Ee Xion is a leading researcher and educator in artificial intelligence and digital health, dedicated to transforming complex healthcare challenges into data-driven solutions. Combining expertise in machine learning, health informatics, and intelligent information systems, she has contributed to pioneering research that enhances healthcare delivery, clinical decision-making, and digital innovation. With a career spanning academia, research, and technology-enabled healthcare, Dr. Tan brings a unique perspective on how emerging technologies can create measurable impact for individuals, organizations, and society.
Karissa Uka is an emerging professional and technical writer in data and artificial intelligence, dedicated to exploring the intersection of machine learning, user experience, and practical tech solutions. Combining a strong foundation in computer science with expertise in generative AI and data analysis, she translates complex technological trends into engaging, real-world insights. With a budding career that spans industry experience at Currys plc, mentorship, and high-ranking technical writing on global platforms like HackerNoon, Karissa brings a fresh, impactful perspective on how emerging technologies can be effectively designed and implemented for a wider audience.
David Chew Hong Liang is an innovative AI Research Engineer and scholar dedicated to developing trustworthy, secure, and practical artificial intelligence solutions. Combining expertise in large language models (LLMs), Retrieval-Augmented Generation (RAG), and data privacy, he specializes in designing safeguards that protect systems and people from emerging technological risks. With a background that spans cutting-edge engineering at PayNet, a visiting research position at Imperial College London, and prestigious recognitions as a Yayasan Khazanah Scholar and Huawei Seeds for the Future delegate, David brings a rigorous, socially conscious perspective to driving secure digital innovation and advancing the future of AI safety.
Eya Abid is an accomplished MSCA PhD Fellow, researcher, and engineer operating at the intersection of artificial intelligence, deep learning, and digital transformation. Combining an engineer's degree in computer science and data science with expertise in generative AI and workflow automation, she specializes in translating highly complex technological problems into concrete, operational business value. With a diverse international career spanning advanced research at Sorbonne Université, strategic model optimization at Sony, data engineering at CERN, and extensive tech mentorship with NVIDIA and MentorCruise, Eya brings an impactful, multi-faceted perspective on how emerging technologies can guide innovation and drive digital adoption across industries.