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Speakers

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Prof. Zulkiflee Abd Latif

 IEEE GRSS Malaysia Member

Universiti Teknologi MARA, Malaysia

Professor Zulkiflee Abd Latif is the Director of the Centre of Studies for Surveying Science & Geomatics at Universiti Teknologi MARA (UiTM), where he also serves as a professor at the Institute for Biodiversity and Sustainable Development (IBSD). He has extensive experience in applied remote sensing and geospatial research and has been a Fellow of the Royal Institution of Surveyors Malaysia (RISM) since 2002. Since 2012, Professor Zulkiflee has been an Executive Committee Member of the IEEE Geoscience & Remote Sensing Malaysia Chapter, actively contributing to research and applications in geoinformatics. He has held editorial roles in several international publications, including "Forest Degradation Around the World" and "Deforestation Around the World." Additionally, he has published articles in various scientific journals focusing on the application of remote sensing data in ecological modeling. In terms of community engagement, Professor Zulkiflee has participated in numerous significant research projects, serving on the Steering Committee for the MoU between UiTM and the Department of Wildlife and National Parks of Malaysia. He was also the Vice-Chair of the International Conference on Geomatics & Geospatial Technology (GGT 2020). Furthermore, he led the Research Monitoring Unit at UiTM’s Research Management Centre, fostering academic research management and innovation, making notable contributions to Malaysia's remote sensing and geospatial fields.

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Associate Professor Dr. Ahmad Sufril Azlan Mohamed

Universiti Sains Malaysia, Malaysia

Ahmad Sufril Azlan Mohamed is an Associate Professor at the School of Computer Sciences, Universiti Sains Malaysia (USM). He holds a Bachelor’s in Information Technology (Hons.) from Multimedia University, a Master’s in Computing Science from the University of Manchester, and a Ph.D. from the University of Salford, UK. His research focuses on artificial intelligence, image processing, video tracking, facial recognition, and medical imaging. He actively engages in industrial and international collaborations, particularly in SMT defects detection, markerless motion capture, traffic object tracking and analysis, and developing virtual and augmented reality solutions for hazard simulations and training. His work also includes leveraging deep learning for motion capture to analyze human activity recognition and ergonomics. He supervises Ph.D. and Master by Research students from China, the Middle East, Africa, and Malaysia. Additionally, he is involved in auditing university programmes locally and internationally, ensuring academic excellence and compliance.

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Associate Professor Dr. Yau Wei Chuen

Xiamen University Malaysia (XMUM), Malaysia

Dr. Yau Wei Chuenis an Associate Professor with the School of Computing and Data Science at Xiamen University Malaysia (XMUM). He joined XMUM as a pioneer staff member since 2016. Yau received his BS and MS degrees from National Cheng Kung University, Taiwan, and his PhD degree from Multimedia University, Malaysia. He is a Chartered Engineer (CEng), a Certified Information Systems Security Professional (CISSP), and a Professional Technologist (Cyber Security). He also holds GMOB (GIAC Mobile Device Security Analyst) and GSEC (GIAC Security Essentials) certifications. Yau’s  research  interests  include  cryptography,  security  protocols,  intrusion detection, network security,  blockchain, and  machine  learning.  He was the General Co-Chair of Mycrypt 2016. He has been invited to serve in the capacities in  program  committee  member  for  international  conferences  and  guest editor/reviewer for various journals. He was an Evaluation Panel member for MySEAL (National List of Trusted Cryptographic Algorithms). He has also worked as a principal investigator/researcher for various research projects funded by the Malaysian government, and provided research consultancy and training to the industries.

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Assistant Professor  Ts Dr Chin Soon Ku

Universiti Tunku Abdul Rahman, Malaysia

Chin Soon Ku received a PhD from the University of Malaya, Malaysia, in 2019. Currentlyan assistant professor in the Department of Computer Science, University of Tunku AbdulRahman, Malaysia, his current research interests including AI techniques (such as geneticalgorithm), computer vision, decision support tools, graphical authentication (authentication,picture-based password, graphical password), machine learning, deep learning, speechprocessing, natural language processing and unmanned logistics fleets. He has publishedpapers on graphical password methods, including techniques to prevent shoulder-surfingattacks and improve password security. Additionally, he has contributed to research oninformation security, particularly in the context of chatbots and cryptography. He hasexplored techniques, features, and applications related to mobile phone data, including its usein crime applications and surveys of mobile phone data. In addtion, he has worked onimproving optimization algorithms for various applications, such as optimal allocation andscheduling of wind turbine and electric vehicle parking lots, and optimal design of hybridenergy systems. He has conducted research on equity forecasting and stock marketpredictions, including the use of long short-term memory methods and dynamic indicators.

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