Muhammad Yousaf Arshad

Muhammad Yousaf Arshad

Higher Degree by Research Candidate

School of Chemical Engineering

Faculty of Sciences, Engineering and Technology

With over five years of experience working with leading multinational corporations and top-tier research institutions, I combine engineering, management, business development, and technical expertise to drive sustainable business growth and transition. Specializing in process efficiency and optimization, cost reduction strategies, and technology commercialization, I have consistently leveraged data-driven decision-making, AI-driven process enhancements, and digital transformation to achieve impactful results. My expertise spans sustainability and circular economy practices, where I integrate ESG principles to drive resource-efficient strategies that enhance both environmental and economic performance. In the realm of process optimization and digital chemical engineering, I utilize AI, IoT, and advanced analytics to improve chemical and industrial processes, minimizing waste while maximizing operational efficiency. I have successfully led business development and strategic initiatives, driving commercialization, technology transfer, globalization, and localization efforts while fostering valuable partnerships. Additionally, I focus on utilizing big data, predictive modeling, and automation to optimize resource management and overall performance. Throughout my career, I have excelled in stakeholder engagement and contract negotiations, building long-term relationships and ensuring value-driven agreements. Passionate about integrating technology, sustainability, and innovation, I strive to shape the future of industries while aligning with global climate goals and ESG standards.

Focuses on ESG, Process Design, Digital Chemical Engineering, Carbon Reduction, Circular Economy and Sustainability. 

  • Journals
    Year Citation
    2025 Tahir, M., Tahir, M. W., Arshad, M. Y., Long, N. V. D., Ahmad, A. S., & Tran, N. N. (2025). Modelling and simulation of an integrated coupled reactor for hydrogen production and carbon dioxide utilisation in an integrated fuel cell power system. Journal of the Taiwan Institute of Chemical Engineers, 167, 105857.
    DOI Scopus8
    2025 Arshad, M. Y., Hessel, V., Halog, A., Lewis, D., & Tran, N. N. (2025). Decentralisation transition in the chemical, energy, and waste management sectors: Innovations, opportunities, and sustainable pathways – A review. Sustainable Energy Technologies and Assessments, 76, 19 pages.
    DOI Scopus2
    2025 Hussain, H., Tahir, M. W., Mehmood, A., & Arshad, M. Y. (2025). Kinetic and Thermodynamic Parameter Optimization of an Anode-Supported Solid Oxide Fuel Cell: A Computational Fluid Dynamics Study. Journal of Electrochemical Science and Technology, 16(2), 197-215.
    DOI
    2025 Keilani, A., Arshad, M. Y., Yu, L., Osorio-Tejada, J. L., Gruber-Woelfler, H., Tran, N. N., & Hessel, V. (2025). Novel Incorporation of Environmental Social Governance Ratings for Premarket and Established Chemical Process Technologies. ACS Sustainable Chemistry and Engineering, 13(22), 8342-8362.
    DOI
    2025 Tahir, M. W., Arshad, M. Y., Hussain, H., Tran, N. N., & Ahmad, A. S. (2025). Measurement and evaluation of anisotropic thermophysical parameters of lithium-ion battery electrode stack: An experimental and numerical study. Next Energy, 8, 12 pages.
    DOI
    2024 Arshad, M. Y., Ahmad, A. S., Mularski, J., Modzelewska, A., Jackowski, M., Pawlak-Kruczek, H., & Niedzwiecki, L. (2024). Pioneering the Future: A Trailblazing Review of the Fusion of Computational Fluid Dynamics and Machine Learning Revolutionizing Plasma Catalysis and Non-Thermal Plasma Reactor Design. Catalysts, 14(1), 24 pages.
    DOI Scopus14
    2024 Liu, H., Liu, L., Zhang, D., Moon, I., Santosh, M., Zhou, Y., . . . Kang, S. (2024). Chronological, Petrogenetic, and Tectonic Significance of Paleoproterozoic Continental Crust within the North China Craton during the Global Tectono-Magmatic Lull. LITHOSPHERE, 2024(1), 25 pages.
    DOI
    2024 Pham, T. K. N., Nguyen, T. T., Van Duc Long, N., Tran, N. N., Arshad, M. Y., Sarafraz, M. M., & Hessel, V. (2024). Developing microfluidic purification techniques for biodiesel production from recycled grease trap waste. Sustainable Energy and Fuels, 8(24), 5806-5817.
    DOI Scopus3
    2024 MUISA, K. A., FRANCIS, J. A., MOHAMAD, S. B., & TAYYAB, S. (2024). Elucidating the influence of some metal ions on the binding of antimalarial drugs to human serum albumin: spectroscopic approach. Revue Roumaine de Chimie, 68(10-12), 541-545.
    DOI
    2024 Arshad, M. Y., Jaffer, H., Tahir, M. W., Mehmood, A., & Saeed, A. (2024). Maximizing hydrogen-rich syngas production from rubber wood biomass in an updraft fluidized bed gasifier: An advanced 3D simulation study. Journal of the Taiwan Institute of Chemical Engineers, 156, 13 pages.
    DOI Scopus22
    2024 Bampidis, V., Azimonti, G., Bastos, M. D. L., Christensen, H., Durjava, M., Dusemund, B., . . . Revez, J. (2024). Assessment of the feed additive consisting of Lentilactobacillus buchneri ATCC PTA-6138 for all animal species for the renewal of its authorisation (Pioneer Hi-Bred International, Inc.). Efsa Journal, 22(5), 7 pages.
    DOI Europe PMC1
    2024 Khan, S., McWhorter, A. R., Andrews, D. M., Underwood, G. J., Moore, R. J., Van, T. T. H., . . . Chousalkar, K. K. (2024). Dust sprinkling as an effective method for infecting layer chickens with wild-type Salmonella Typhimurium and changes in host gut microbiota. Environmental Microbiology Reports, 16(3), e13265-1-e13265-13.
    DOI Scopus3 Europe PMC1
    2024 Lin, H., Cai, C., Lu, S., Xie, X., & Shi, P. (2024). State estimation with unknown measurement losses: A detector-based approach. Information Sciences, 670, 120632.
    DOI Scopus1
    2024 Liu, H., Tan, Y., Zuo, J., Xu, X., Xiong, L., & Mao, P. (2024). Assessing risk of metro microenvironmental health vulnerability from the coupling perspective: A case of Nanjing, China. Journal of Cleaner Production, 466, 142861.
    DOI Scopus9
    2024 Modzelewska, A., Jackowski, M., Boutikos, P., Lech, M., Grabowski, M., Krochmalny, K., . . . Niedzwiecki, L. (2024). Sustainable production of biohydrogen: Feedstock, pretreatment methods, production processes, and environmental impact. Fuel Processing Technology, 266, 34 pages.
    DOI Scopus6
    2023 Feng, Y., Fan, P., Zheng, M., Guo, Y., He, L., & Long, M. (2023). Liquiritigenin suppresses gastric cancer cells through regulating miR-4534 to target phosphatase and tensin homolog. MATERIALS EXPRESS, 13(11), 1835-1840.
    DOI
    2023 Tahir, F., Arshad, M. Y., Saeed, M. A., & Ali, U. (2023). Integrated process for simulation of gasification and chemical looping hydrogen production using Artificial Neural Network and machine learning validation. Energy Conversion and Management, 296, 19 pages.
    DOI Scopus30 WoS3
    2023 Saeed, S., Arshad, M. Y., Raza, A., Mahmood, F., Urbanowska, A., Ahmed, A. S., & Niedzwiecki, L. (2023). Influence of Thermal and Chemical Treatment on Biosorbent from Rice Husk and Its Application in Removal of Resorcinol from Industrial Wastewater. Processes, 11(12), 20 pages.
    DOI Scopus9
    2023 Arshad, M. Y., Rashid, A., Mahmood, F., Saeed, S., & Ahmed, A. S. (2023). Metal(II) triazole complexes: Synthesis, biological evaluation, and analytical characterization using machine learning-based validation. European Journal of Chemistry, 14(1), 155-164.
    DOI
    2023 Gul, H., Arshad, M. Y., & Tahir, M. W. (2023). Production of H<inf>2</inf> via sorption enhanced auto-thermal reforming for small scale Applications-A process modeling and machine learning study. International Journal of Hydrogen Energy, 48(34), 12622-12635.
    DOI Scopus30 WoS11
    2023 Arshad, M. Y., Saeed, S., Raza, A., Ahmad, A. S., Urbanowska, A., Jackowski, M., & Niedzwiecki, L. (2023). Integrating Life Cycle Assessment and Machine Learning to Enhance Black Soldier Fly Larvae-Based Composting of Kitchen Waste. Sustainability (Switzerland), 15(16), 22 pages.
    DOI Scopus18 WoS3
    2023 Arshad, M. Y., Saeed, M. A., Tahir, M. W., Pawlak-Kruczek, H., Ahmad, A. S., & Niedzwiecki, L. (2023). Advancing Sustainable Decomposition of Biomass Tar Model Compound: Machine Learning, Kinetic Modeling, and Experimental Investigation in a Non-Thermal Plasma Dielectric Barrier Discharge Reactor. Energies, 16(15), 26 pages.
    DOI Scopus11 WoS5
    2023 Mehmood, A., Tahir, M. W., Saeed, M. A., Arshad, M. Y., Hussain, H., Mularski, J., & Niedzwiecki, L. (2023). Optimization of Gasifying Agents in 3D Downdraft Gasification for Enhanced Gas Composition, Combustion, and CO<inf>2</inf> Utilization. Fire, 6(9), 17 pages.
    DOI Scopus13 WoS1
    2023 Saeed, S., Arshad, M. Y., & Ahmed, A. S. (2023). Advancing circular economy in industrial chemistry and environmental engineering: Principles, alignment with United Nations sustainable development goals, and pathways to implementation. European Journal of Chemistry, 14(3), 414-428.
    DOI
    2023 Arshad, M. Y., Saeed, M. A., Tahir, M. W., Raza, A., Ahmad, A. S., Tahir, F., . . . Niedzwiecki, L. (2023). Role of Experimental, Modeling, and Simulation Studies of Plasma in Sustainable Green Energy. Sustainability (Switzerland), 15(19), 35 pages.
    DOI Scopus9 WoS1
    2023 Yousaf, M. A., & Aqsa, R. (2023). Integrating circular economy, SBTI, digital LCA, and ESG benchmarks for sustainable textile dyeing: a critical review of industrial textile practices. Global Nest Journal, 25(7), 39-51.
    DOI Scopus22 WoS6
    2022 Yar, A., Arshad, M. Y., Asghar, F., Amjad, W., Asghar, F., Hussain, M. I., . . . Mahmood, F. (2022). Machine Learning-Based Relative Performance Analysis of Monocrystalline and Polycrystalline Grid-Tied PV Systems. International Journal of Photoenergy, 2022, 18 pages.
    DOI Scopus20 WoS9
    2022 Hassan, H. M., Cai, Q., Liang, X., Xin, J., Ren, K., Jiang, J., . . . Li, J. (2022). Transcriptomics reveals immune-metabolism disorder in acute-on-chronic liver failure in rats. LIFE SCIENCE ALLIANCE, 5(3), 13 pages.
    DOI
    2022 Saleem, F., Abbas, A., Rehman, A., Khoja, A. H., Naqvi, S. R., Arshad, M. Y., . . . Harvey, A. (2022). Decomposition of benzene as a biomass gasification tar in CH4 carrier gas using non-thermal plasma: Parametric and kinetic study. Journal of the Energy Institute, 102, 190-195.
    DOI Scopus27 WoS14
    2022 Arshad, M. Y. (2022). Effective removal of Direct Orange 26 dye using copper nanoparticles synthesized from Tilapia fish scales. Global NEST: the international Journal, 24(2), 311-317.
    DOI Scopus13 WoS6
    2022 Rafique, M. A., Kiran, S., Jamal, A., Anjum, M. N., Jalal, F., Munir, B., . . . Arshad, M. Y. (2022). Green synthesis of copper nanoparticles using Allium cepa (onion) peels for removal of Disperse Yellow 3 dye. Desalination and Water Treatment, 272, 259-265.
    DOI Scopus12 WoS4
    2022 Arshad, M. Y. (2022). Optimization of Acid-Assisted Extraction of Pectin from Banana (Musa Acuminata) Peels by Central Composite Design. Global NEST: the international Journal, 24(4), 752-756.
    DOI Scopus13 WoS4
    2022 Saeed, M. A., Niedzwiecki, L., Arshad, M. Y., Skrinsky, J., Andrews, G. E., & Phylaktou, H. N. (2022). Combustion and Explosion Characteristics of Pulverised Wood, Valorized with Mild Pyrolysis in Pilot Scale Installation, Using the Modified ISO 1 m<sup>3</sup> Dust Explosion Vessel. Applied Sciences (Switzerland), 12(24), 15 pages.
    DOI Scopus20 WoS8

  • Book Chapters
    Year Citation
    2025 Arshad, M. Y., Lewis, D., & Tran, N. N. (2025). Empowering Sustainability: Integrating ESG Principles for a Net-Zero Future Through Decentralised Process Plant Design. In Advances in Social Science, Education and Humanities Research (pp. 60-64). Atlantis Press SARL.
    DOI
    2024 Arshad, M. Y., & Halog, A. (2024). Life cycle assessment of various process routes including biological processes for renewable fuel production. In Sustainable and Green Catalytic Processes for Renewable Fuel Production with Net Zero Emissions (pp. 377-428). Elsevier.
    DOI Scopus4

  • Conference Papers
    Year Citation
    2023 Zhu, M., Li, H., Chen, H., Fan, C., Mao, W., Jing, C., . . . Shen, C. (2023). SegPrompt: Boosting Open-world Segmentation via Category-level Prompt Learning. In Proceedings of the IEEE International Conference on Computer Vision (pp. 999-1008). FRANCE, Paris: IEEE COMPUTER SOC.
    DOI Scopus15
    2023 Li, B., Liang, X., Jiang, J., Xin, J., Shi, D., He, L., . . . Li, J. (2023). TRAINED IMMUNITY CONTRIBUTES TO IMMUNOREGULATION IN HUMAN BONE MARROW MESENCHYMAL STEM CELLS. In HEPATOLOGY Vol. 78 (pp. S2007). MA, Boston: LIPPINCOTT WILLIAMS & WILKINS.

Taught Advance Course on Control and Instrumentation for Chemical Engineers

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