Advancing Synergies in Mathematics, Statistics and Data Science ICoAIMS 2025, Kuala Lumpur, Malaysia, May 23–24

Nur Haizum Abd Rahman is a senior lecturer at Universiti Malaysia Pahang Al-Sultan Abdullah. She was formerly at Universiti Putra Malaysia. She earned her Ph.D. in mathematics from Universiti Teknologi Malaysia, specializing in statistics, time series modeling, and forecasting. Her research applies statistical and machine learning methods to real-world forecasting in demand prediction, risk modeling, environmental monitoring, and public health. She publishes in peer-reviewed journals and actively engages in conferences, seminars, and research networks. A lifelong member of the Malaysian Institute of Statistics, she has served as a honorary secretary since 2022, promoting statistical thinking nationwide.

Nadirah Mohd Nasir is a senior lecturer at the Centre for Mathematical Sciences, Universiti Malaysia Pahang Al-Sultan Abdullah, Malaysia. She received her Ph.D. in computational mathematics from Universiti Putra Malaysia in 2020 and a master’s degree in mathematics from Universiti Sains Malaysia. Her research focuses on numerical analysis, particularly multistep block methods for solving differential equations with boundary value problems. 

Adam Shariff Adli Aminuddin is a senior lecturer and head of programme (data analytics) at the Centre for Mathematical Sciences, Universiti Malaysia Pahang Al-Sultan Abdullah, Malaysia. He obtained his B.Sc. in mathematics from Universiti Sains Malaysia and both his M.Sc. and PhD in decision science/operations research from Universiti Utara Malaysia. His research focuses on multi-criteria decision-making, performance analytics, and sustainability applications. He has authored and reviewed papers in international indexed journals and conference proceedings, particularly in the areas of decision analysis, fuzzy-based evaluation, and integrated data-driven approaches for sustainability and management decision support.

Noraini Ibrahim received her Ph.D. in mathematics from Universiti Teknologi Malaysia in 2023, specializing in improving least squares support vector machines for river flow forecasting. She also holds an M.Sc. in computer science and a B.Sc. in industrial mathematics from Universiti Teknologi Malaysia. Her research interests span data analytics, machine learning, artificial intelligence (AI), statistical modeling, and time series forecasting, with particular emphasis on hydrological and environmental applications. She is also interested in the integration of AI and statistical approaches for predictive modeling, optimization of deep learning architectures and the development of explainable AI techniques for decision support in water resource management and related domains. She has contributed as a reviewer, invited speaker and jury member for academic and mathematical events and is a member of the Malaysian Mathematical Sciences Society and the Malaysian Institute of Statistics.

Ali Turab is an associate professor at the School of Software, Northwestern Polytechnical University, China. He earned his Ph.D. in applied mathematics from Thammasat University, Thailand, where he also completed postdoctoral research in nonlinear modeling and dynamical systems. Previously, he was a research associate at the Centre of Excellence for AI and Data Science, Universiti Malaysia Pahang. His research bridges mathematical modeling, AI, and behavioral sciences, focusing on computational modeling of natural phenomena and cognitive behavior. He uses game theory, decision analysis, probabilistic machine learning, and neurodynamics to study adaptive behavior in animals and intelligent systems. His recent work involves hybrid neural-stochastic models and reinforcement learning for decision-making under uncertainty. He actively contributes to interdisciplinary research, mentorship, and high-impact publications across applied mathematics, AI, and behavioral prediction.