Publications

Journals

Year Citation
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, 2026
2025 Ashraf, W. M., V. Dua, and R. Debnath, “Domain consistent industrial decarbonization of global coal power plants,” Communications Sustainability, 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.
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 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.
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, “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 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, 2024, pp. 1–15.
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., 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 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.
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, 2023, pp. 5025–5039.

Conferences

Year Citation
2025 Ashraf, W. M., T. Ansar, A. S. Alshehri, P. Chen, R. Debnath, and V. Dua, “Neural Network-enabled Domain-consistent Robust Optimisation for Global CO2 Reduction Potential of Gas Power Plants,” Tackling Climate Change with Machine Learning Workshop, NeurIPS 2025, San Diego, USA, Dec. 6, 2025.
2025 Ashraf, W. M., R. Debnath, and V. Dua, “Domain-Compliant AI Adoption Enhances the Operation Excellence of Power Systems,” in 2025 AIChE Annual Meeting, Boston, USA, 2025.
2024 Ashraf, W. M., and V. Dua, “A data-driven approach for constructing the prediction bounds on the output variables using a modified loss function and analysing information retained during development of the model,” in 34th European Symposium on Computer Aided Process Engineering, Florence, Italy, 2024.
2024 Ashraf, W. M., and V. Dua, “What Does the Industry Want from Machine Learning? Interpretable Modelling Algorithm and Robust Optimisation for the Energy-Efficient Operation of Power Plants Case Study,” in 2024 AIChE Annual Meeting, San Diego, USA, 2024.
2024 Ashraf, W. M., and V. Dua, “Data information integrated neural network (DINN) algorithm: interpretable machine learning by incorporating correlation information in the model architecture,” ChemEngDayUK, Imperial College London, London, UK, 2024.
2023 Ashraf, W. M., R. Panda, P. Jadhao, K. Pant, and V. Dua, “Machine learning based metal recovery from the waste printed circuit boards of mobile phones for circular economy and sustainable environment,” in International Conference on Energy, Ecology and Environment, London, UK, Aug. 14–18, 2023.
2023 Ashraf, W. M., and V. Dua, “Machine learning enabled modelling and sensitivity analysis for the power generation from a 660 MW supercritical coal power plant,” in 33rd European Symposium on Computer Aided Process Engineering, Athens, Greece, 2023.
2022 Ashraf, W. M., G. M. Uddin, and V. Dua, “Machine learning enabled operational excellence of large industrial complexes supporting the net zero goal,” Annual Industrial Consortium, Imperial College London, London, UK, 2022.

Book Chapters

Year Citation
2024 Ashraf, W. M., S. G. Niazi, S. M. Arafat, V. Dua, and G. M. Uddin, “Hierarchical Robust Optimisation of Chemical Processes and Energy Systems through In-Depth Industrial Data Analysis and Machine Learning,” in Advances in AI for Simulation and Optimization of Energy Systems, CRC Press, pp. 146–169.
2022 Jamil, M. A., M. W. Shahzad, B. B. Xu, W. M. Ashraf, K. C. Ng, N. Imtiaz, and H. Yaqoob, “Advancements in Indirect Evaporative Cooling Systems through Novel Operational Configuration,” in Recent Updates in HVAC Systems, IntechOpen, 2022.

Reports

Year Citation
2024 Data Study Group Team, “Data Study Group Final Report: Johnson Matthey - Data Driven Modelling of Chemical Processes: Towards Flexible Production of Energy Carriers for a Net-zero Society,” The Alan Turing Institute, Sept. 27, 2024. DOI: 10.5281/zenodo.13847810.

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