| 2026 |
Ashraf, W. M., T. Ansar, F. Ahmed, J. Hussain, M. M. Abbas, and V. Dua,
“From drift to adaptation to the failed ml model: Transfer Learning in Industrial MLOps,”
arXiv preprint arXiv:2602.00957, 2026.
|
| 2026 |
Ashraf, W. M., S. Muzammil, M. W. Nasir, M. Muneeb, S. M. Arafat, A. S. Alshehri, A. bin Jumah, R. Debnath, V. Dua, and G. M. Uddin,
“Data-efficient digital twin for turbine heat rate of industrial thermal power plant,”
Energy, vol. 345, 2026, Art. no. 140238.
|
| 2026 |
Ashraf, W. M., V. Dua, and R. Debnath,
“Domain consistent industrial decarbonisation of global coal power plants,”
Communications Sustainability, vol. 1, no. 1, p. 10, 2026.
|
| 2026 |
Ashraf, W. M., A. H. Keshavarzzadeh, A. S. Alshehri, A. bin Jumah, R. Debnath, and V. Dua,
“Domain-informed operation excellence of gas turbine system with machine learning,”
Energy Conversion and Management, vol. 348, 2026, Art. no. 120789.
|
| 2026 |
Krzywanski, J., A. Kijo-Kleczkowska, A. Georgiev, W. M. Ashraf, A. Rao, I. Iliev, J. Taler, and W. Nowak,
“The Nexus of AI and Energy: A Unified Framework for Intelligent Future,”
Energies, vol. 19, no. 1, p. 245, 2026.
|
| 2025 |
Ashraf, W. M.,
“Data-driven Modelling and Optimisation techniques for advancing Net-zero in Power Systems,”
PhD Thesis, University College London, 2025.
|
| 2025 |
Ansar, T., and W. M. Ashraf,
“Comparison of Kolmogorov-Arnold Networks and Multi-Layer Perceptron for modelling and optimisation analysis of energy systems,”
Energy and AI, vol. 20, 2025, Art. no. 100473.
|
| 2025 |
Ashraf, W. M., A. S. Alshehri, A. bin Jumah, G. M. Uddin, M. Akhtar, and V. Dua,
“Domain-enforced and operator-in-the-loop neural simulation platform for techno-enviro-economic performance enhancement of gas turbine system,”
Computers & Chemical Engineering, 2025, Art. no. 109529.
|
| 2025 |
Huang, J., W. M. Ashraf, T. Ansar, M. M. Abbas, M. Tlija, Y. Tang, Y. Guo, and W. Zhang,
“Optimisation led energy-efficient arsenite and arsenate adsorption on various materials with machine learning,”
Water Research, vol. 271, 2025, Art. no. 122815.
|
| 2025 |
Akhtar, M., W. M. Ashraf, N. Hayat, G. M. Uddin, and F. Riaz,
“Numerical and Experimental Investigation of Gas Turbine Rotor for Early Fault Detection,”
Energy Science & Engineering, vol. 13, no. 5, pp. 2546-2564, 2025.
|
| 2025 |
Ashraf, W. M., R. Panda, P. R. Jadhao, K. K. Pant, and V. Dua,
“Sustainable recovery of Cu, Ag and Au from the waste printed circuit boards and process optimisation by machine learning,”
Computers & Chemical Engineering, vol. 201, 2025, Art. no. 109237.
|
| 2024 |
Ashraf, W. M., and V. Dua,
“Data Information integrated Neural Network (DINN) algorithm for modelling and interpretation performance analysis for energy systems,”
Energy and AI, vol. 16, 2024, Art. no. 100363.
|
| 2024 |
Ashraf, W. M., and V. Dua,
“Partial derivative-based dynamic sensitivity analysis expression for non-linear auto regressive with exogenous (NARX) model: case studies on distillation columns and model interpretation investigation,”
Chemical Engineering Journal Advances, vol. 18, 2024, Art. no. 100605.
|
| 2024 |
Jamil, M. A., W. M. Ashraf, N. Imtiaz, B. B. Xu, S. M. Zubair, H. Yaqoob, M. Imran, and M. W. Shahzad,
“Machine learning-based process design of a novel sustainable cooling system,”
Energy Conversion and Management, vol. 319, 2024, Art. no. 118941.
|
| 2024 |
Ashraf, W. M., P. R. Jadhao, R. Panda, K. K. Pant, and V. Dua,
“Towards circular economy of wasted printed circuit boards of mobile phones fuelled by machine learning and robust mathematical optimization framework,”
Resources, Conservation & Recycling Advances, vol. 23, 2024, Art. no. 200226.
|
| 2024 |
Ashraf, W. M., and V. Dua,
“Storage of weights and retrieval method (SWARM) approach for neural networks hybridized with conformal prediction to construct the prediction intervals for energy system applications,”
International Journal of Data Science and Analytics, pp. 1–15, 2024.
|
| 2024 |
Krzywanski, J., T. Czakiert, W. Nowak, T. Shimizu, W. M. Ashraf, and A. Zylka,
“Towards cleaner energy: an innovative model to minimize NOx emissions in chemical looping and CO2 capture technologies,”
Energy, vol. 312, 2024, Art. no. 133397.
|
| 2024 |
Krzywanski, J., D. Skrobek, M. Sosnowski, W. M. Ashraf, and K. Grabowska,
“Towards enhanced heat and mass exchange in adsorption systems: the role of AutoML and fluidized bed innovations,”
International Communications in Heat and Mass Transfer, vol. 152, 2024, Art. no. 107262.
|
| 2024 |
El-Adawy, M., M. E. Zayed, B. Shboul, W. M. Ashraf, and M. A. Nemitallah,
“Performance improvement of compression ignition engine fueled by second generation biodiesel fuel blends enriched with ZnO nanoparticles: Experimental study and Gaussian process regression AI modeling,”
Process Safety and Environmental Protection, vol. 190, pp. 1372-1385, 2024.
|
| 2024 |
Ashraf, W. M., and V. Dua,
“Driving towards net-zero from the energy sector: Leveraging machine intelligence for robust optimization of coal and combined cycle gas power stations,”
Energy Conversion and Management, vol. 314, 2024, Art. no. 118645.
|
| 2024 |
Ishfaq, K., M. Asad, W. M. Ashraf, M. Sana, S. Anwar, W. Zhang, and V. Dua,
“Towards artificial intelligence empowered performance enhancement of EDM process using nano-graphene mixed bio-dielectric supporting the carbon neutrality and sustainable development,”
Journal of Cleaner Production, vol. 457, 2024, Art. no. 142482.
|
| 2024 |
Ashraf, W. M., M. A. Jamil, G. M. Uddin, B. Shboul, K. Ishfaq, K. C. Ng, M. Dixon, B. B. Xu, and M. W. Shahzad,
“Machine learning assisted improved desalination pilot system design and experimentation for the circular economy,”
Journal of Water Process Engineering, vol. 63, 2024, Art. no. 105535.
|
| 2024 |
Shboul, B., M. E. Zayed, W. M. Ashraf, M. Usman, D. Roy, K. Irshad, and S. Rehman,
“Energy and economic analysis of building integrated photovoltaic thermal system: Seasonal dynamic modeling assisted with machine learning-aided method and multi-objective genetic optimization,”
Alexandria Engineering Journal, vol. 94, pp. 131-148, 2024.
|
| 2024 |
Krzywanski, J., K. Sztekler, D. Skrobek, K. Grabowska, W. M. Ashraf, M. Sosnowski, K. Ishfaq, W. Nowak, and L. Mika,
“AutoML‐based predictive framework for predictive analysis in adsorption cooling and desalination systems,”
Energy Science & Engineering, vol. 12, no. 5, pp. 1969-1986, 2024.
|
| 2024 |
Shahzad, M. W., V. H. Nguyen, B. B. Xu, R. Tariq, M. Imran, W. M. Ashraf, K. C. Ng, M. A. Jamil, A. Ijaz, and N. A. Sheikh,
“Machine learning assisted prediction of solar to liquid fuel production: a case study,”
Process Safety and Environmental Protection, vol. 184, pp. 1119-1130, 2024.
|
| 2024 |
Shboul, B., M. E. Zayed, R. Tariq, W. M. Ashraf, A. S. Odat, S. Rehman, A. S. Abdelrazik, and J. Krzywanski,
“New hybrid photovoltaic-fuel cell system for green hydrogen and power production: Performance optimization assisted with Gaussian process regression method,”
International Journal of Hydrogen Energy, vol. 59, pp. 1214-1229, 2024.
|
| 2023 |
Ishfaq, K., M. Sana, and W. M. Ashraf,
“Artificial intelligence–built analysis framework for the manufacturing sector: performance optimization of wire electric discharge machining system,”
The International Journal of Advanced Manufacturing Technology, vol. 128, no. 11, pp. 5025-5039, 2023.
|
| 2023 |
Ashraf, W. M., and V. Dua,
“Machine learning based modelling and optimization of post-combustion carbon capture process using MEA supporting carbon neutrality,”
Digital Chemical Engineering, vol. 8, 2023, Art. no. 100115.
|
| 2023 |
Ishfaq, K., M. Sana, W. M. Ashraf, and V. Dua,
“Sustainable EDM of Inconel 600 in Cu-mixed biodegradable dielectrics: Modelling and optimizing the process by artificial neural network for supporting net-zero from industry,”
Journal of Cleaner Production, vol. 421, 2023, Art. no. 138388.
|
| 2023 |
Zayed, M. E., A. E. Kabeel, B. Shboul, W. M. Ashraf, M. Ghazy, K. Irshad, S. Rehman, and A. A. Zayed,
“Performance augmentation and machine learning-based modeling of wavy corrugated solar air collector embedded with thermal energy storage: Support vector machine combined with Monte Carlo simulation,”
Journal of Energy Storage, vol. 74, 2023, Art. no. 109533.
|
| 2023 |
Ashraf, W. M., G. M. Uddin, R. Tariq, A. Ahmed, M. Farhan, M. A. Nazeer, R. U. Hassan, A. Naeem, H. Jamil, J. Krzywanski, and M. Sosnowski,
“Artificial intelligence modeling-based optimization of an industrial-scale steam turbine for moving toward net-zero in the energy sector,”
ACS Omega, vol. 8, no. 24, pp. 21709-21725, 2023.
|
| 2023 |
Ishfaq, K., M. Sana, M. U. Waseem, W. M. Ashraf, S. Anwar, and J. Krzywanski,
“Enhancing EDM machining precision through deep cryogenically treated electrodes and ANN modelling approach,”
Micromachines, vol. 14, no. 8, p. 1536, 2023.
|
| 2023 |
Usman, M., T. Khan, F. Riaz, M. A. I. Malik, M. T. Amjad, M. H. Shah, and W. M. Ashraf,
“Acetone–Gasoline blend as an alternative fuel in SI engines: a novel comparison of performance, emission, and lube oil degradation,”
ACS Omega, vol. 8, no. 12, pp. 11267–11280, 2023.
|
| 2023 |
Khoja, A. H., H. Gohar, W. U. H. Khan, U. Y. Qazi, I. U. Din, A. Al‐Anazi, W. M. Ashraf, M. A. Mujtaba, F. Riaz, and S. S. Daood,
“Exploring copyrolysis characteristics and thermokinetics of peach stone and bituminous coal blends,”
Energy Science & Engineering, vol. 11, no. 11, pp. 4302-4323, 2023.
|
| 2023 |
Rafique, M., N. R. Khalid, M. Irshad, F. Shafiq, M. Usman, Y. Fouad, M. Imran, M. A. Assiri, and W. M. Ashraf,
“Visible light‐active pure and lanthanum‐doped copper oxide nanostructures for photocatalytic degradation of methylene blue dye and hydrogen production,”
Energy Science & Engineering, vol. 11, no. 7, pp. 2601-2613, 2023.
|
| 2023 |
Zhang, W., W. M. Ashraf, S. S. Senadheera, D. S. Alessi, F. M. G. Tack, and Y. S. Ok,
“Machine learning based prediction and experimental validation of arsenite and arsenate sorption on biochars,”
Science of the Total Environment, vol. 904, 2023, Art. no. 166678.
|
| 2023 |
Rafique, M., S. Hajra, M. Irshad, M. Usman, M. Imran, M. A. Assiri, and W. M. Ashraf,
“Hydrogen production using TiO2-based photocatalysts: a comprehensive review,”
ACS Omega, vol. 8, no. 29, pp. 25640-25648, 2023.
|
| 2023 |
Amjad, A., W. M. Ashraf, G. M. Uddin, and J. Krzywanski,
“Artificial intelligence model of fuel blendings as a step toward the zero emissions optimization of a 660 MWe supercritical power plant performance,”
Energy Science & Engineering, vol. 11, no. 8, pp. 2899-2911, 2023.
|
| 2022 |
Ashraf, W. M., Y. Rafique, G. M. Uddin, F. Riaz, M. Asim, M. Farooq, and A. Hussain,
“Artificial intelligence based operational strategy development and implementation for vibration reduction of a supercritical steam turbine shaft bearing,”
Alexandria Engineering Journal, vol. 61, no. 3, pp. 1864–1880, 2022.
|
| 2022 |
Usman, M., M. A. I. Malik, R. Bashir, F. Riaz, M. J. Raza, K. Suleman, A. U. Rehman, W. M. Ashraf, and J. Krzywanski,
“Enviro-economic assessment of HHO–CNG mixture utilization in spark ignition engine for performance and environmental sustainability,”
Energies, vol. 15, no. 21, p. 8253, 2022.
|
| 2022 |
Krzywanski, J., T. Czakiert, A. Zylka, W. Nowak, M. Sosnowski, K. Grabowska, D. Skrobek, K. Sztekler, A. Kulakowska, W. M. Ashraf, and Y. Gao,
“Modelling of SO2 and NOx emissions from coal and biomass combustion in air-firing, oxyfuel, iG-CLC, and CLOU conditions by fuzzy logic approach,”
Energies, vol. 15, no. 21, p. 8095, 2022.
|
| 2022 |
Aized, T., M. Rashid, F. Riaz, A. Hamza, H. Z. Nabi, M. Sultan, W. M. Ashraf, and J. Krzywanski,
“Energy and exergy analysis of vapor compression refrigeration system with low-Gwp refrigerants,”
Energies, vol. 15, no. 19, p. 7246, 2022.
|
| 2022 |
Ashraf, W. M., G. M. Uddin, H. A. Ahmad, M. A. Jamil, R. Tariq, M. W. Shahzad, and V. Dua,
“Artificial intelligence enabled efficient power generation and emissions reduction underpinning net-zero goal from the coal-based power plants,”
Energy Conversion and Management, vol. 268, 2022, Art. no. 116025.
|
| 2022 |
Shahbaz, M., M. Ammar, S. Hussain, T. Ahmed, W. M. Ashraf, A. Raza, A. Amjad, and D. Zou,
“Mesophilic batch co‐digestion of municipal solid waste and food waste: improved digester performance and stability at optimum organic loading rates,”
Journal of Chemical Technology & Biotechnology, vol. 97, no. 3, pp. 633-642, 2022.
|
| 2022 |
Krzywanski, J., W. M. Ashraf, T. Czakiert, M. Sosnowski, K. Grabowska, A. Zylka, A. Kulakowska, D. Skrobek, S. Mistal, and Y. Gao,
“CO2 capture by virgin ivy plants growing up on the external covers of houses as a rapid complementary route to achieve global GHG reduction targets,”
Energies, vol. 15, no. 5, p. 1683, 2022.
|
| 2021 |
Ashraf, W. M., G. M. Uddin, S. M. Arafat, J. Krzywanski, and W. Xiaonan,
“Strategic-level performance enhancement of a 660 MWe supercritical power plant and emissions reduction by AI approach,”
Energy Conversion and Management, vol. 250, 2021, Art. no. 114913.
|
| 2021 |
Ashraf, W. M., G. M. Uddin, M. Farooq, F. Riaz, H. A. Ahmad, A. H. Kamal, S. Anwar, A. M. El-Sherbeeny, M. H. Khan, N. Hafeez, and A. Ali,
“Construction of operational data-driven power curve of a generator by industry 4.0 data analytics,”
Energies, vol. 14, no. 5, p. 1227, 2021.
|
| 2020 |
Ashraf, W. M., G. M. Uddin, A. H. Kamal, M. H. Khan, A. A. Khan, H. A. Ahmad, F. Ahmed, N. Hafeez, R. M. Z. Sami, S. M. Arafat, and S. G. Niazi,
“Optimization of a 660 MWe supercritical power plant performance—a case of Industry 4.0 in the data-driven operational management. Part 2. Power generation,”
Energies, vol. 13, no. 21, p. 5619, 2020.
|
| 2020 |
Uddin, G. M., S. M. Arafat, W. M. Ashraf, M. Asim, M. M. A. Bhutta, H. U. K. Jatoi, S. G. Niazi, A. Jamil, M. Farooq, M. Ghufran, and M. Jawad,
“Artificial intelligence-based emission reduction strategy for limestone forced oxidation flue gas desulfurization system,”
Journal of Energy Resources Technology, vol. 142, no. 9, p. 092103, 2020.
|
| 2020 |
Ashraf, W. M., G. M. Uddin, S. M. Arafat, S. Afghan, A. H. Kamal, M. Asim, M. H. Khan, W. R. Muhammad, U. Naumann, S. G. Niazi, and H. Jamil,
“Optimization of a 660 MW e supercritical power plant performance—a case of industry 4.0 in the data-driven operational management part 1. Thermal efficiency,”
Energies, vol. 13, no. 21, p. 5592, 2020.
|
| 2019 |
Uddin, G. M., M. W. Nasir, S. M. Arafat, S. W. H. Zubair, A. Rehman, M. A. Younis, S. Moazam, W. M. Ashraf, et al.,
“Computational structural analysis of 3D printed hip joint implant and comparison of bio-compatible coating materials for design parameters: Coating thickness, hardness, and adhesion requirements,”
Advances in Mechanical Engineering, vol. 11, no. 11, 2019.
|