Adil Sultan | Environmental Modeling | Best Researcher Award

Published on by Electrical Engineering

Mr. Adil Sultan | Environmental Modeling | Best Researcher Award

PhD Student | National Yunlin University of Science and Technology | Taiwan

Adil Sultan is a dynamic researcher and postgraduate scholar in Computer Science and Information Engineering at the National Yunlin University of Science and Technology, Taiwan, with a Bachelor’s degree in Geophysics from Bahria University Islamabad, Pakistan. His interdisciplinary expertise bridges artificial intelligence, computational modeling, and earth sciences, emphasizing intelligent predictive frameworks for environmental and marine ecosystem dynamics. Adil’s research integrates machine learning, fractional calculus, and neurocomputational modeling to address complex ecological and climatological phenomena, with publications in high-impact Q1 journals such as Water Research, Engineering Applications of Artificial Intelligence, and Process Safety and Environmental Protection. He has contributed to advancing predictive neural architectures for modeling plankton dynamics, environmental toxin propagation, and climate-induced marine variations. His professional experience includes seismic data processing at Oil and Gas Development Company Limited, where he applied geophysical modeling and data analytics for subsurface evaluations, alongside earlier roles in communication and technical support at IBEX Global. Recognized for academic excellence and innovation, he ranked among the top three in his master’s program and earned a Bronze Medal for his undergraduate thesis. Adil has presented his work at international conferences, authored multiple manuscripts under review, and actively engages in interdisciplinary research collaborations. His memberships, scholarly achievements, and leadership in applied machine learning for environmental intelligence underscore his commitment to sustainable scientific innovation and global research excellence. His Scopus profile reflects 17 citations, 6 indexed documents, and an h-index of 2.

Profile: Scopus

Featured Publications

Adil Sultan*, Design of a Fractional-Order Environmental Toxin-Plankton System in Aquatic Ecosystems: A Novel Machine Predictive Expedition with Nonlinear Autoregressive Neuroarchitectures. Water Research, Q1, 12.4 I.F.

Adil Sultan*, Bayesian-Regularized Cascaded Neural Networks for Fractional Asymmetric Carbon-Thermal Nutrient-Plankton Dynamics under Global Warming and Climatic Perturbations. Engineering Applications of Artificial Intelligence, Q1, 8.0 I.F.

Adil Sultan*, Intelligent Predictive Networks for Nonlinear Oxygen-Phytoplankton-Zooplankton Coupled Marine Ecosystems under Environmental and Climatic Disruptions. Process Safety and Environmental Protection, Q1, 7.8 I.F.

Adil Sultan*, Prognostication of Zooplankton-Driven Cholera Pathoepidemiological Dynamics: Novel Bayesian-Regularized Deep NARX Neuroarchitecture. Computers in Biology and Medicine, Q1, 6.3 I.F.

Adil Sultan*, Predictive Modeling of Fractional Plankton-Assisted Cholera Propagation Dynamics Using Bayesian Regularized Deep Cascaded Exogenous Neural Networks. Process Safety and Environmental Protection, Q1, 7.8 I.F.

Ms. Siqin Liao | Control Systems & Optimization | Best Researcher Award

Published on by Electrical Engineering

Ms. Siqin Liao | Control Systems & Optimization | Best Researcher Award

Student | The School of Computer Science, Guangdong University of Technology | China

Siqin Liao is a Ph.D. candidate at the School of Computer Science, Guangdong University of Technology, specializing in control theory and intelligent systems. He holds a Master of Engineering in Control Engineering from Guangdong University of Technology and a Bachelor of Engineering in Electrical Engineering and Automation from Xinyu University, and has completed a visiting research program at the University of Adelaide, Australia. His research focuses on asynchronous control of Markov jump systems, cooperative control of multi-agent systems, and network security control. Liao has published seven SCI-indexed papers in leading journals such as IEEE Transactions on Cybernetics and Systems & Control Letters, contributing novel control methodologies for stochastic and networked systems under uncertainty and cyberattacks. He has participated in provincial-level projects funded by the Guangdong Basic and Applied Basic Research Foundation and collaborates internationally on control design research. His scholarly impact includes over 100 citations, with recognition for his first-author and corresponding-author publications. As a student member of IEEE, he upholds academic excellence and innovation in control system theory. His achievements have earned him awards such as the First Prize in the Siemens Cup China Intelligent Manufacturing Challenge and the Third Prize in the China Robowork Competition, highlighting both his technical expertise and leadership in engineering research. His research record includes 80 citations across 7 publications with an h-index of 2, reflecting his growing academic influence.

Profile: Scopus

Featured Publications

Siqin Liao*, Zheng-Guang Wu, Yuanqing Wu. Constrained quadratic control for Markov jump systems with multiplicative noise. Syst. Control Lett., 2025, 203:06–27.

Siqin Liao*, Yuanqing Wu, Zheng-Guang Wu, Peng Shi. Design on dynamic event and self-triggered control for systems with Markov jumps and denial-of-service attacks. J. Franklin Inst., 2025, doi:10.1016/j.jfranklin.2025.108006.

Siqin Liao, Zheng-Guang Wu, Yuanqing Wu*. Control for Markov jump systems with partially unknown transition probabilities under denial-of-service attacks. Int. J. Robust Nonlinear Control., 2025, doi:10.1002/rnc.70142.