School of Chemical & Materials Engineering (SCME)
Faculty Muhammad Nouman Aslam Khan

Muhammad Nouman Aslam Khan

Associate Professor
Summary

I am an academic and researcher working in the areas of mathematics, data science, optimization, and computational modeling, with a strong interest in solving real-world problems through mathematically grounded and data-driven approaches. My research integrates theoretical analysis with practical algorithm design, particularly in optimization techniques, intelligent systems, and analytical methods relevant to engineering and emerging technologies. Since 2009, I have been actively engaged in teaching at the School of Chemical and Materials Engineering (SCME), National University of Sciences and Technology, where my work has evolved across interdisciplinary domains involving mathematics, engineering, and data-centric decision making. Over the years, I have collaborated with researchers and graduate students on problems that bridge theory and application, emphasizing robustness, efficiency, and innovation. My research inclination lies in advancing optimization frameworks, data-driven modeling, and analytical methodologies that contribute to both academic knowledge and practical engineering solutions. I am particularly motivated by problems that require cross-disciplinary thinking and that have the potential for measurable societal or industrial impact.

Academic Background
PhD (Mathematics) COMSATS Institute of Information Technology September 09, 2013 - February 22, 2018
Honours and Awards
Publications
Sustainable valorization of olive pomace industrial side stream via explainable machine learning guided biochar pyrolysis April 01, 2026 Process Safety and Environmental Protection - Volume: 210, Article Number: 108639,
Optimizing shape memory polyurethane films for stimuli-responsive food preservation February 23, 2026 RSC Advances - Volume 16, Pages 10750-10760
Machine learning optimization for algal biochar yield: integrating experimental validation and sensitivity analysis January 07, 2026 Biochar - Volume 8, Article Number 8
Regenerable Magnetic Iron Oxide Incorporated Chitosan Beads for Sulfate (SO42−) Removal From Wastewater: Isotherms, Kinetics and Mechanism November 01, 2025 Polymers for Advanced Technologies - Volume:36, Issue:11, Article Number e70395
Advanced Cellulose Triacetate-Based Mixed Matrix Membranes Enhanced by Bimetallic Ni-Cu-BTC MOFs for CO2/CH4 Separation August 21, 2025 Polymers - Volume 17(16), Article Number 2258
Machine learning approach for photocatalysis: An experimentally validated case study of photocatalytic dye degradation June 01, 2025 Journal of Environmental Management - Volume:386, Article Number 125683
Development and Evaluation of User-Friendly Modeled Approach for Sustainable Polymer Membranes for Advanced Hemodialysis January 06, 2025 Advanced Materials Interfaces - Volume:12, Issue:1, Article Number 2400435
Adsorption Capacity Prediction and Optimization of Electrospun Nanofiber Membranes for Estrogenic Hormone Removal Using Machine Learning Algorithms November 06, 2024 Polymers for Advanced Technologies - Volume:35, Issue:11, Article Number:e6638
Approximation theorems for -nonexpansive mappings in convex metric spaces by three step iterations September 11, 2024 Alexandria Engineering Journal - Volume 102, Pages 1-9
Torrefied biomass quality prediction and optimization using machine learning algorithms August 15, 2024 Chemical Engineering Journal Advances - Volume 19, Article Number 100620
Harnessing the power of functionalized biochar: progress, challenges, and future perspectives in energy, water treatment, and environmental sustainability March 14, 2024 Biochar - Volume 6, Article Number 25
Prediction of hydrogen yield from supercritical gasification process of sewage sludge using machine learning and particle swarm hybrid strategy February 07, 2024 International Journal of Hydrogen Energy - Volume 54, 7 February 2024, Pages 512-525
Aging prediction in single based propellants using hybrid strategy of machine learning and genetic algorithm January 15, 2024 Chemometrics and Intelligent Laboratory Systems - Volume 245, Article Number 105058
Cellulosic biomass fermentation for biofuel production: Review of artificial intelligence approaches January 01, 2024 Renewable and Sustainable Energy Reviews - Volume 189, Part B, Article Number 113906
Prediction of thermal diffusivity of volcanic rocks using machine learning and genetic algorithm hybrid strategy October 01, 2023 International Journal of Thermal Sciences - Volume 192, Part A, Article Number 108403
Thermal optimization of Li-ion battery pack using genetic algorithm integrated with machine learning, September 01, 2023 Thermal Science and Engineering Progress - Volume 44, ID:102069, Pages:31
Optimization based comparative study of machine learning methods for the prediction of bio-oil produced from microalgae via pyrolysis March 01, 2023 Journal of Analytical and Applied Pyrolysis - Volume 170, ID:105879
Applications of machine learning in thermochemical conversion of biomass-A review January 15, 2023 Fuel - Volume 332, Part 1, Article Number 126055
Comparative study of machine learning methods integrated with genetic algorithm and particle swarm optimization for bio-char yield prediction November 01, 2022 Bioresource Technology - Volume 363, Article Number 128008
Hydrogen production optimization from sewage sludge supercritical gasification process using machine learning methods integrated with genetic algorithm August 01, 2022 Chemical Engineering Research and Design - Volume 184, Pages 614-626
Artificial neural networks for the prediction of biochar yield: A comparative study of metaheuristic algorithms July 01, 2022 Bioresouce Technology - Volume 355, Article Number 127215
An integrated framework of data-driven, metaheuristic, and mechanistic modeling approach for biomass pyrolysis June 01, 2022 Process Safety and Environmental Protection - Volume 162, Pages 337-345
Process modeling and simulation of ethylene oxide production by implementing pinch and cost analysis May 01, 2022 Ain Shams Engineering Journal - Volume 13, Issue 3, Pages 101585 (1-9)
Process Modeling, Optimization and Cost Analysis of a Sulfur Recovery Unit by Applying Pinch Analysis on the Claus Process in a Gas Processing Plant December 27, 2021 Mathematics - Volume 10, Issues 1, Article Number 88
Coincidence point of L-fuzzy sets endowed with graph October 11, 2018 Revista de la Real Academia de Ciencias Exactas Fisicas y Naturales. Serie A. Matematicas - Volume 112, Issue 4, Pages 915–931
Coincidence of Multivalued Mappings on Metric Spaces with a Graph June 01, 2017 Filomat - Volume 31, Issue 14, Pages: 4543-4554
Coincidence Points of a Sequence of Multivalued Mappings in Metric Space with a Graph May 26, 2017 Mathematics - Volume: 5 Issue: 2, Article Number: 30
On Minimal Fuzzy Ideals of Semigroups October 17, 2013 Journal of Mathematics - Volume 2013, Article ID 475190, 5 pages
Fuzzy Abel Grassmann's Groupoids November 18, 2010 Advances in Fuzzy Mathematics - Advances in Fuzzy Mathematics, volume 3, published 2010
On Anti Fuzzy Ideals in Left Almost Semigroups August 13, 2010 Journal of Mathematics Research - Vol. 2, No. 3; August 2010
Conferences
Cascade Forward Neural Network for The Prediction of Pyrolytic Gas Yield August 17, 2022 - August 18, 2022 Salman Raza Naqvi, Muhammad Nouman Aslam Khan, Nor Aishah Saidina Amin, International Conference on Water, Energy, and Environment for Sustainability (IC-WEES) 2022
Lecturer COMSATS Institute of Information Technology, Islamabad, Pakistan" January 01, 2010 - August 06, 2010