Ms. Asma Rehman | ML in Chemistry | AI & Machine Learning Award 

Accomplished Researcher, University of Agriculture Fasilabad, Pakistan

Ms. Asma Rehman is an accomplished researcher and academic from Pakistan, currently affiliated with the University of Agriculture Faisalabad, where she specializes in Green Chemistry, Organocatalysis, Polymer Degradation, and Artificial Intelligence Applications in Chemical Process Modeling.  Ms. Rehman’s research interests are strongly interdisciplinary, focusing on the integration of Artificial Intelligence and Data Science techniques with Green Chemistry principles to develop predictive models for catalytic reactions, optimize degradation processes of polymers like polystyrene, and design sustainable, energy-efficient pathways for environmental remediation. Her scientific vision aims to utilize machine learning algorithms for reaction kinetics modeling and to establish scalable frameworks for waste management, industrial pollution control, and material upcycling. In her academic journey, she has co-authored several peer-reviewed journal articles published in globally recognized outlets such as RSC Advances and AI (MDPI), highlighting her contributions to both computational and experimental chemistry. Her major research contributions include AI-assisted photocatalysis for wastewater treatment, organocatalyst design for green synthetic chemistry, and studies combining photoredox catalysis with sustainable material science. Ms. Rehman’s technical proficiency encompasses a diverse range of research skills, including statistical data analysis, reaction kinetics modeling, computational chemistry tools, spectral characterization, and data-driven optimization frameworks. Her ongoing work focuses on merging Bayesian inference models and supervised machine learning for predictive chemical engineering applications, reflecting her capability to adapt AI tools within the scientific process. She has been recognized within her institution for her academic excellence and research initiative, mentoring undergraduates and participating in interdisciplinary academic forums that align with the United Nations Sustainable Development Goals (SDGs).

Profile: ORCID

Featured Publications

• Rehman, A., Iqbal, M. A., Haider, M. T., & Majeed, A. (2025). Artificial intelligence-guided supervised learning models for photocatalysis in wastewater treatment. AI, 6(10), Article 0258. Citations: 6

• Ahad, A., Majeed, A., Zafar, A., Iqbal, M. A., Ali, S., Batool, M., Rehman, A., & Manzoor, F. (2025). A green marriage: The union of theophylline’s catalytic activity and healing potential. RSC Advances, 15(9), 8479A. Citations: 10

• Manzoor, F., Majeed, A., Ibrahim, A. H., Iqbal, M. A., Rehman, A., Aziz, S., Shahzadi, A., Fatima, S., Ejaz, S., & Zafar, M. S. (2025). Nickel-photoredox catalysis: Merging photons with metal catalysts for organic synthesis. RSC Advances, 15(12), 4650E. Citations: 8

• Rehman, A., Iqbal, M. A., & Majeed, A. (2025). Machine learning-assisted modeling of polystyrene degradation using green catalysts for sustainable waste valorization. Journal of Environmental Chemical Engineering, 13(7). Citations: 5

• Rehman, A., Manzoor, F., & Majeed, A. (2025). Data-driven optimization of organocatalytic pathways for eco-friendly polymer processing. Green Chemistry Letters and Reviews, 18(4). Citations: 4