News & Updates

During the IEEE International Conference on Sustainable Engineering & Digital Innovation (ICSEDI’26) in Muscat, Oman, Dr. Alshehri and co-authors from University College London and University of Cambridge received the Best Paper in Energy Systems award. The conference, organized by the Global College of Engineering and Technology, the Oman Society of Engineers, and the IEEE Oman Section, provided an exceptionally organized platform for insightful dialogue. We extend our since

During the 10th International Conference on Control Engineering and Artificial Intelligence (CCEAI) in Hong Kong, Dr. Alshehri received the Best Presentation Award. The conference, organized by The Hong Kong Polytechnic University and APISE, provided a vital space for engaging with cutting-edge research in automation and AI. We thank the organizers for fostering such insightful dialogue and for recognizing the contributions made at AI4ChEMIA!

We are thrilled to announce that our collaborative research with University College London (UCL) was successfully accepted and presented at the Tackling Climate Change with Machine Learning workshop at NeurIPS 2025. The paper introduces a novel, domain-consistent neural network framework that integrates data-driven domains as constraints to solve nonlinear optimization challenges in gas power plants. By scaling our verified efficiency gains to the global fleet, we estimate a

We were privileged to host Prof. Zhe Wu from National University of Singapore for an insightful seminar exploring the theoretical and practical challenges of integrating machine learning with Model Predictive Control. His presentation showcased a novel reinforcement learning framework that leverages Physics-Informed Neural Networks (PINNs) to solve optimal control problems for complex nonlinear systems. We extend our sincere thanks to Prof. Wu for sharing his profound experti

With the rise of AI computing, efficient data centers are a global priority. Dr. Alshehri visited Prof. Zhe Wu at NUS to collaborate on novel control system architectures for these energy-intensive facilities. The collaboration aims to deploy intelligent control strategies that optimize cooling and power consumption in real-time.

Dr. Alshehri visited Zhejiang University to discuss and present on the next-generation property estimation models hosted by Prof. Anjan Tula. The discussion focused on integrating uncertainty awareness and fundamental domain knowledge into predictive frameworks to significantly improve the accuracy of molecular design. This work is pivotal for developing uncertainty-aware optimization strategies that can reliably identify novel materials and chemicals.

Dr. Alshehri joined Prof. Zhihong Yuan at Tsinghua University to discuss the future of chemical process optimization. The seminar highlighted the power of AI approaches in reducing experimental trials and maximizing process efficiency. This visit marks a key step in our joint efforts to develop smarter, probability-aware optimization tools for the chemical industry.

Dr. Alshehri presented a seminar at University College London (UCL), hosted by Prof. Vivek Dua. The visit solidified a collaborative framework focused on embedding physical constraints into AI models for energy system optimization. This partnership aims to enhance the reliability and interpretability of AI algorithms when applied to critical energy infrastructure.

We were honored to host Dr. Anjan Tula, Associate Professor of Control Science & Engineering at the prestigious Zhejiang University, for a seminar and technical workshop. Dr. Tula’s visit fostered deep discussions on the intersection of molecular property estimation under molecular similarity and physics-based modeling, and integrated product and process design.