Dr Michael Packianather

2025

• Al Dawsari, S. A. , Anayi, F. and Packianather, M. 2025. Novel techno-economic feasibility study of an off-grid PV/wind/diesel/battery hybrid energy system using MATLAB-HOMER link. Energy Conversion and Management: X 28 101386. (10.1016/j.ecmx.2025.101386)
• Alasmari, L. et al. 2025. Assessing the circular transformation of warehouse operations through simulation. Applied Sciences 15 (20) 10910. (10.3390/app152010910)
• Alasmari, L. et al. 2025. Assessing the circular transformation of warehouse operations through simulation. Presented at: The International Conference on Industry 4.0 and Smart Manufacturing (ISM) Prague, Czech Republic 20-22 November 2024. Vol. 253., pp.1124-1133. (10.1016/j.procs.2025.01.174)
• Alenezi, M. et al. 2025. A hybrid machine learning framework for early fault detection in power transformers using PSO and DMO algorithms. Energies 18 (8)(10.3390/en18082024)
• Almutairi, S. et al. 2025. An innovative LFC system using a Fuzzy FOPID-enhanced via PI controller tuned by the catch fish optimization algorithm under nonlinear conditions. Sustainability 17 (13) 5966. (10.3390/su17135966)
• Almutairi, S. et al. 2025. An optimal two-stage tuned PIDF + fuzzy controller for enhanced LFC in hybrid power systems. Sustainability 17 (20) 9109. (10.3390/su17209109)
• Chu, A. et al., 2025. Dynamic modelling for the family of 5-axis CNC milling machines with application to feed-rate optimization. Engineering Science and Technology, an International Journal 65 102015. (10.1016/j.jestch.2025.102015)
• Khan, A. H. et al., 2025. BOMO-RNN: a novel neural network controller for industrial robots with experimental validation. International Journal of Systems Science (10.1080/00207721.2025.2482871)
• Packianather, M. , Tuthill, P. and Le, C. H. 2025. Vehicle suspension remanufacturing based on additive manufacturing and arc welding cladding. Presented at: 8th International Workshop on Autonomous Remanufacturing Detroit, Michigan, USA 16-18 October 2024. Published in: Rickli, J. L. ed. Proceedings of VIII International Workshop on Autonomous Remanufacturing. Lecture Notes in Mechanical Engineering , pp.207-223. (10.1007/978-3-031-92425-5_16)
• Packianather, M. S. , McGhan, F. and Anayi, F. 2025. Machine fault detection in manufacturing using deep learning methods. In: Jamshidi, M. M. et al., Automation of Complex Systems: Bio-Medicine, Energy and Manufacturing. Vol. 1705, Lecture Notes in Networks and Systems Cham: Springer. , pp.229-250. (10.1007/978-3-032-10150-1_20)
• Wan, Y. et al. 2025. Empowering LLMs by hybrid retrieval-augmented generation for domain-centric Q&A in smart manufacturing. Advanced Engineering Informatics 65 103212. (10.1016/j.aei.2025.103212)
• Wan, Y. et al., 2025. Prompting large language models based on semantic schema for text-to-Cypher transformation towards domain Q&A. Decision Support Systems 199 114553. (10.1016/j.dss.2025.114553)

2024

• Al Dawsari, S. , Anayi, F. and Packianather, M. 2024. Techno-economic analysis of hybrid renewable energy systems for cost reduction and reliability improvement using dwarf mongoose optimization algorithm. Energy 313 133653. (10.1016/j.energy.2024.133653)
• Al Dawsari, S. A. , Anayi, F. and Packianather, M. 2024. Novel optimal configuration approach for off-grid microgrid with hybrid energy storage using Mantis search algorithm. Presented at: 12th International Conference on Smart Grid (icSmartGrid) Setubal, Portugal 27-29 May 2024. Proceedings 2024 12th International Conference on Smart Grid (icSmartGrid). IEEE. , pp.255-264. (10.1109/icSmartGrid61824.2024.10578170)
• Alamri, N. , Packianather, M. and Bigot, S. 2024. A movel hybrid Bees Regression Convolutional Neural Network (BA-RCNN) applied to porosity prediction in selective laser melting parts. Presented at: Cardiff University Engineering Research Conference 2023 Cardiff, UK 12-14 July 2023. Published in: Spezi, E. and Bray, M. eds. Proceedings of the Cardiff University Engineering Research Conference 2023. Cardiff: Cardiff University Press. , pp.95-99. (10.18573/conf1.w)
• Alenezi, M. et al. 2024. Enhancing transformer protection: A machine learning framework for early fault detection. Sustainability 16 (23) 10759. (10.3390/su162310759)
• Chu, A. M. et al., 2024. A framework for practically effective creation of postprocessors for 5-axis CNC machines with all possible configurations and working mechanisms. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 238 (5), pp.682-694. (10.1177/09544054231179314)
• Hejazi, S. , Packianather, M. and Liu, Y. 2024. Using DCGAN and WGAN-GP to generate artificial thermal RGB images for induction motors. Presented at: Cardiff University Engineering Research Conference 2023 Cardiff, UK 12-14 July 2023. Published in: Spezi, E. and Bray, M. eds. Proceedings of the Cardiff University Engineering Research Conference 2023. Cardiff: Cardiff University Press. , pp.113-117. (10.18573/conf1.aa)
• Hejazi, S. Z. , Packianather, M. and Liu, Y. 2024. A novel customised load adaptive framework for induction motor fault classification utilising MFPT bearing dataset. Machines 12 (1) 44. (10.3390/machines12010044)
• Le, C. A. et al., 2024. Digital twins for real-time monitoring and operation of coffee value chain and supply chain. International Journal of Mechatronics and Applied Mechanics I7 , pp.114-124. (10.17683/ijomam/issue17.13)
• Nguyen, N. et al., 2024. Motion and condition monitoring of an industrial robot based on digital twins. Presented at: 3rd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2022) 10-13 November 2022. Published in: Long, B. ed. Proceedings of the 3rd Annual International Conference on Material, Machines and Methods for Sustainable Development. Lecture Notes in Mechanical Engineering Cham, Switzerland: , pp.445-446. (10.1007/978-3-031-57460-3_49)
• Packianather, M. S. and Alamri, N. M. H. 2024. Optimisation of convolutional neural network parameters using the bees algorithm. In: Pham, D. T. and Hartono, N. eds. Intelligent Engineering Optimisation with the Bees Algorithm. Springer Series in Advanced Manufacturing , pp.265-284. (10.1007/978-3-031-64936-3_13)
• Packianather, M. S. , Imanguliyev, A. and Pham, D. T. 2024. Enhanced bees algorithm implementing early neighbourhood search with efficiency-based recruitment. In: Pham, D. T. and Hartono, N. eds. Intelligent Engineering Optimisation with the Bees Algorithm. Springer Series in Advanced Manufacturing , pp.3-19. (10.1007/978-3-031-64936-3_1)
• Packianather, M. S. et al. 2024. Modelling remanufacturing process of end-of-life batteries using discrete event simulation. Presented at: IWAR 2023 18-19 October 2023. Published in: Fera, M. et al., Advances in Remanufacturing:Proceedings of the VII International Workshop on Autonomous Remanufacturing. Lecture Notes in Mechanical Engineering Cham, Switzerland: Springer. , pp.469-481. (10.1007/978-3-031-52649-7_37)
• Suliman, F. , Anayi, F. and Packianather, M. 2024. Electrical faults analysis and detection in photovoltaic arrays based on machine learning classifiers. Sustainability 16 (3) 1102. (10.3390/su16031102)
• Wan, Y. et al. 2024. Making knowledge graphs work for smart manufacturing: Research topics, applications and prospects. Journal of Manufacturing Systems 76 , pp.103-132. (10.1016/j.jmsy.2024.07.009)

2023

• Abdusalam, O. , Anayi, F. and Packianather, M. 2023. Three-phase power transformer fault diagnosis based on support vector machines and bees algorithm. Presented at: 3rd International Conference in Power Engineering Applications (ICPEA) Putrajaya, Malaysia 6-7 March 2023. Proceedings of 3rd International Conference in Power Engineering Applications. IEEE. , pp.145-150. (10.1109/ICPEA56918.2023.10093147)
• Alamri, N. M. , Packianather, M. and Bigot, S. 2023. Optimizing the parameters of long short-term memory networks using the bees algorithm. Applied Sciences 13 (4) 2536. (10.3390/app13042536)
• Alexopoulos, T. et al. 2023. An adaptive water consumption monitoring and conservation system. In: Scholz, S. G. , Howlett, R. J. and Setchi, R. eds. Sustainable Design and Manufacturing Proceedings of the 9th International Conference on Sustainable Design and Manufacturing (SDM 2022). Vol. 338, Smart Innovation, Systems and Technologies , pp.191-200. (10.1007/978-981-19-9205-6_18)
• Alghamdi, T. A. et al. 2023. An artificial neural network based harmonic distortions estimator for grid- connected power converter-based applications. Ain Shams Engineering Journal 14 (4) 101916. (10.1016/j.asej.2022.101916)
• Hejazi, S. , Packianather, M. and Liu, Y. 2023. A Novel approach using WGAN-GP and conditional WGAN-GP for generating artificial thermal images of induction motor faults. Presented at: 27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2023) 06-08 September 2023. Vol. 225.Elsevier. , pp.3681-3691. (10.1016/j.procs.2023.10.363)
• Mohamed, M. et al. 2023. Analysing various control technics for manipulator robotic system (Robogymnast). Computers, Materials & Continua 75 (3), pp.4681-4696. (10.32604/cmc.2023.035312)
• Nguyen, V. D. et al., 2023. An innovative and smart agriculture platform for improving the coffee value chain and supply chain. In: Nguyen, T. and Lu, J. eds. Machine Learning and Mechanics Based Soft Computing Applications. Vol. 1068, Studies in Computational Intelligence Springer. , pp.185-197. (10.1007/978-981-19-6450-3_19)
• Pham, T. C. et al., 2023. Artificial intelligence-based solutions for coffee leaf disease classification. Presented at: International Conference on Marine Sustainable Development and Innovation (MSDI 2023) Nha Trang, Vietnam 21-23 July 2023. Vol. 1278.IOP Publishing. , pp.012004. (10.1088/1755-1315/1278/1/012004)
• Vu, M. D. et al., 2023. Prediction of the welding process parameters and the weld bead geometry for robotic welding applications with adaptive neuro-fuzzy models. Presented at: The International Conference on Intelligent Systems & Networks 18-19 March 2023. Published in: Nguyen, T. et al., Vol. 752.Lecture Notes in Networks and Systems Singapore: Springer. , pp.148-158. (10.1007/978-981-99-4725-6_20)
• Wan, Y. et al. 2023. Constructing industrial knowledge graph through ontology and link prediction. Presented at: IEEE International Conference on Automation Science and Engineering (CASE) Auckland, New Zealand 26-29 August 2023. 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE). IEEE. , pp.1-6. (10.1109/CASE56687.2023.10260566)

2022

• Abdusalam, O. , Anayi, F. and Packianather, M. 2022. Discrimination between internal current and external fault in three phase power transformer by Using alienation coefficient. Presented at: 2022 57th International Universities Power Engineering Conference (UPEC) Istanbul, Turkey 30 Aug 22 - 02 Sept 22. 2022 57th International Universities Power Engineering Conference (UPEC). IEEE. (10.1109/UPEC55022.2022.9917688)
• Abdusalam, O. et al. 2022. New hybrid machine learning method for detecting faults in three-phase power transformers. Energies 15 (11) e3905. (10.3390/en15113905)
• Alamri, N. M. , Packianather, M. and Bigot, S. 2022. Deep learning: parameter optimization using proposed novel hybrid bees Bayesian convolutional neural network. Applied Artificial Intelligence 36 (1) 2031815. (10.1080/08839514.2022.2031815)
• Alamri, N. M. H. , Packianather, M. and Bigot, S. 2022. Optimization of convolutional neural network topology and training parameters using Bees Algorithm. Presented at: IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Gunupur, Odisha, India 15-17 December 2022. Proceedings of 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security. IEEE. , pp.1-6. (10.1109/iSSSC56467.2022.10051487)
• Alamri, N. M. H. , Packianather, M. and Bigot, S. 2022. Predicting the porosity in selective laser melting parts using hybrid regression convolutional neural network. Applied Sciences 12 (24) 12571. (10.3390/app122412571)
• Alghamdi, T. A. H. , Anayi, F. and Packianather, M. 2022. Modelling and control development of a cascaded NPC-based MVDC converter for harmonic analysis studies in power distribution networks. Energies 15 (13) 4867. (10.3390/en15134867)
• Alghamdi, T. A. H. , Anayi, F. and Packianather, M. 2022. Optimal design of passive power filters using the MRFO algorithm and a practical harmonic analysis approach including uncertainties in distribution networks. Energies 15 (7) 2566. (10.3390/en15072566)
• Altayef, E. et al. 2022. Detection and classification of lamination faults in A 15 kVA three-phase transformer core using SVM, KNN and DT algorithms. IEEE Access 10 , pp.50925-50932. (10.1109/ACCESS.2022.3174359)
• Altayef, E. , Anayi, F. and Packianather, M. 2022. A new enhancement of the k-NN algorithm by Using an optimization technique. Presented at: 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) Greater Noida, India 28-29 April 2022. Proceedings of 2nd International Conference on Advance Computing and Innovative Technologies in Engineering. IEEE. , pp.24-31. (10.1109/ICACITE53722.2022.9823537)
• Altayef, E. , Anayi, F. and Packianather, M. 2022. Experimental investigation on impacts of insulation damage fault between laminations of power transformers. Presented at: 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) Greater Noida, India 28-29 April 2022. Proceedings of 2nd International Conference on Advance Computing and Innovative Technologies in Engineering. IEEE. , pp.19-23. (10.1109/ICACITE53722.2022.9823834)
• Altayef, E. , Anayi, F. and Packianather, M. 2022. Power transformer fault detection methods and effects of edge burrs fault: a review. Presented at: 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) Greater Noida, India 28-29 April 2022. Proceedings of 2nd International Conference on Advance Computing and Innovative Technologies in Engineering. IEEE. , pp.5-18. (10.1109/ICACITE53722.2022.9823815)
• Altayef, E. et al. 2022. On the effects of lamination artificial faults in A 15 kVA three-phase transformer core. IEEE Access 10 , pp.19348-19355. (10.1109/ACCESS.2022.3151367)
• Chu, A. M. et al., 2022. A novel mathematical approach for finite element formulation of flexible robot dynamics. Mechanics Based Design of Structures and Machines 50 (11), pp.3747-3767. (10.1080/15397734.2020.1820874)
• Egbe, U. et al., 2022. A case-based reasoning based framework for developing computer aided remanufacturing process planning systems. Presented at: International Conference on Reliable Systems Engineering (ICoRSE) - 2022 8-9 September 2022. Published in: Cioboată, D. ed. International Conference on Reliable Systems Engineering (ICoRSE) - 2022. ICoRSE 2022. Vol. 534.Springer. , pp.305-311. (10.1007/978-3-031-15944-2_28)
• Elgbaily, M. , Anayi, F. and Packianather, M. 2022. Genetic and particle swarm optimization algorithms based direct torque control for torque ripple attenuation of induction motor. Materials Today: Proceedings 67 (4), pp.577-590. (10.1016/j.matpr.2022.08.293)
• Elgbaily, M. , Anayi, F. and Packianather, M. 2022. Performance improvement based torque ripple minimization for direct torque control drive fed induction motor using fuzzy logic control. Presented at: 3rd International Conference on Control, Instrumentation and Mechatronics Engineering, CIM 2022 Online 30-31 Mar 2022. Published in: Wahab, N. A. and Zaharuddin, M. eds. Instrumentation and Mechatronics: Theory and Practice [Conference Proceedings]. Vol. 921.Lecture Notes in Electrical Engineering Springer Science Business Media. , pp.416–428. (10.1007/978-981-19-3923-5_36)
• Hejazi, S. , Packianather, M. and Liu, Y. 2022. Novel preprocessing of multimodal condition monitoring data for classifying induction motor faults using deep learning methods. Presented at: IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) Gunupur, Odisha, India 15-17 December 2022. Proceedings of 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security. IEEE. , pp.1-6. (10.1109/iSSSC56467.2022.10051321)
• Ibrahim, A. , Anayi, F. and Packianather, M. 2022. Detection of three-phase induction motor faults using deep network-based transfer learning techniques. Presented at: IM IEEE 2nd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA) 23-25 May 2022. 2022 IEEE 2nd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA). IEEE. , pp.133-138. (10.1109/MI-STA54861.2022.9837619)
• Ibrahim, A. et al. 2022. New hybrid invasive weed optimization and machine learning approach for fault detection. Energies 15 (4) 1488. (10.3390/en15041488)
• Ibrahim, A. , Anayi, F. and Packianather, M. 2022. New machine learning model-based fault diagnosis of induction motors using thermal images. Presented at: 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) Greater Noida, India 28-29 April 2022. Proceedings of 2nd International Conference on Advance Computing and Innovative Technologies in Engineering. IEEE. , pp.58-62. (10.1109/ICACITE53722.2022.9823832)
• Ibrahim, A. , Anayi, F. and Packianather, M. 2022. New Transfer Learning Approach Based on a CNN for Fault Diagnosis. Presented at: 1st International Electronic Conference on Machines and Applications, 15–30 September 2022 Online 15-30 September 2022. The 1st International Electronic Conference on Machines and Applications. Vol. 16. MDPI. (10.3390/IECMA2022-12905)
• Ibrahim, A. , Anayi, F. and Packianather, M. 2022. Novel deep network-based transfer learning approach for fault detection of three-phase induction motor. Presented at: 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) Greater Noida, India 28-29 April 2022. Proceedings of 2nd International Conference on Advance Computing and Innovative Technologies in Engineering. IEEE. , pp.655-659. (10.1109/ICACITE53722.2022.9823821)
• Mohamed, M. et al. 2022. Simulating LQR and PID controllers to stabilise a three-link robotic system. Presented at: 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) 28-29 April 2022. 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). IEEE. (10.1109/ICACITE53722.2022.9823512)
• Rayamane, P. , Ji, Z. and Packianather, M. 2022. Design and development of a robust vision-based tactile sensor. Presented at: 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics Sapporo, Japan 11-15 July 2022. 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). IEEE. (10.1109/AIM52237.2022.9863285)
• Shouran, M. , Anayi, F. and Packianather, M. 2022. Design of sliding mode control optimised by the Bees algorithm for LFC in the Great Britain power system. Materials Today: Proceedings 52 (3), pp.937-945. (10.1016/j.matpr.2021.10.322)
• Shouran, M. et al. 2022. Different fuzzy control configurations tuned by the Bees Algorithm for LFC of two-area power system. Energies 15 (2) 657. (10.3390/en15020657)
• Suliman, F. , Anayi, F. and Packianather, M. 2022. Bees-algorithm for parameters identification of PV Models. Presented at: 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) Greater Noida, India 28-29 April 2022. Proceedings of 2nd International Conference on Advance Computing and Innovative Technologies in Engineering. IEEE. , pp.2219-2223. (10.1109/ICACITE53722.2022.9823446)
• Wan, Y. et al. 2022. Exploiting knowledge graph for multi-faceted conceptual modelling using GCN. Presented at: 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2021) Linz, Austria 17-19 November 2021. Vol. 200.Procedia Computer Science, Vol 200. , pp.1174-1183. (10.1016/j.procs.2022.01.317)

2021

• Chen, Z. et al. 2021. Multi-faceted modelling for strip breakage in cold rolling using machine learning. International Journal of Production Research 59 (21), pp.6347-6360. (10.1080/00207543.2020.1812753)
• Ibrahim, A. et al. 2021. Novel hybrid invasive weed optimization and machine learning approach for fault detection. Presented at: 2021 56th International Universities Power Engineering Conference (UPEC) Middlesbrough, United Kingdom 31 August -3 September 2021. 2021 56th International Universities Power Engineering Conference (UPEC). IEEE. (10.1109/UPEC50034.2021.9548171)
• My, C. A. et al., 2021. A generalization approach for the kinematic modelling of the rotational axes of five-axis CNC centers. Presented at: International Conference on Material, Machines and Methods for Sustainable Development Nha Trang, Vietnam 12-15 Nov 2020. Published in: Banh, T. L. et al., Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development. Lecture Notes in Mechanical Engineering book series (LNME) , pp.983-990. (10.1007/978-3-030-69610-8_130)
• My, C. A. et al., 2021. Real time inverse kinematics of five-axis CNC centers. Presented at: International Conference on Material, Machines and Methods for Sustainable Development Nha Trang, Vietnam 12-15 Nov 2020. Published in: Long, B. et al., Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020). Cham: Springer. , pp.991-999. (10.1007/978-3-030-69610-8_131)
• Shouran, M. , Anayi, F. and Packianather, M. 2021. A state-of-the-art review on LFC strategies in conventional and modern power systems. Presented at: 1st International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) Greater Noida, India 4-5 March 2021. 2021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). IEEE. , pp.268-277. (10.1109/ICACITE51222.2021.9404653)
• Shouran, M. , Anayi, F. and Packianather, M. 2021. Fuzzy PID with filtered derivative mode based load frequency control of two-area power system. Presented at: 2021 56th International Universities Power Engineering Conference (UPEC) Middlesbrough, United Kingdom 31 August -3 September 2021. Proceedings 56th International Universities Power Engineering Conference (UPEC). IEEE. (10.1109/UPEC50034.2021.9548233)
• Shouran, M. et al. 2021. Load frequency control based on the Bees Algorithm for the Great Britain power system. Designs 5 (3) 50. (10.3390/designs5030050)
• Shouran, M. , Anayi, F. and Packianather, M. 2021. The Bees Algorithm Tuned Sliding Mode Control for Load Frequency Control in Two-Area Power System. Energies 14 (18) 5701. (10.3390/en14185701)

2020

• Al-Musawi, A. K. , Anayi, F. and Packianather, M. 2020. Three-phase induction motor fault detection based on thermal image segmentation. Infrared Physics and Technology 104 103140. (10.1016/j.infrared.2019.103140)
• Nguyen, T. et al., 2020. Green machining for the dry milling process of stainless steel 304. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 234 (5), pp.881-899. (10.1177/0954405419888126)

2019

• Duy Nguyen, V. et al., 2019. Molecular screening and genetic diversity analysis of anticancer Azurin-encoding and Azurin-like genes in human gut microbiome deduced through cultivation-dependent and cultivation-independent studies. International Microbiology 22 (4), pp.437-449. (10.1007/s10123-019-00070-8)
• Lorenz, C. et al. 2019. Input feature selection and optimization for ANN models predicting daylight in buildings. Presented at: 26th International Workshop on Intelligent Computing in Engineering Leuven, Belgium 30 June - 3 July 2019.
• Lorenz, C. et al. 2019. Artificial neural networks for parametric daylight design. Architectural Science Review 63 (2), pp.210-221. (10.1080/00038628.2019.1700901)
• Lorenz, C. et al. 2019. Machine learning in design exploration: An investigation of the sensitivities of ANN-based daylight predictions. Presented at: "Hello, Culture": Computer-Aided Architectural Design Futures 2019 Daejeon, South Korea 26-28 June 2019.
• Packianather, M. S. , Al-Musawi, A. K. and Anayi, F. 2019. Bee for mining (B4M) - a novel rule discovery method using the Bees algorithm with quality-weight and coverage-weight. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 233 (14), pp.5101-5112. (10.1177/0954406219833719)
• Packianather, M. S. et al. 2019. Development of soft computing tools and IoT for improving the performance assessment of analysers in a clinical laboratory. Presented at: 14th Annual Conference System of Systems Engineering (SoSE) Anchorage, USA 19-22 May 2019. 2019 14th Annual Conference System of Systems Engineering (SoSE). IEEE. , pp.158. (10.1109/SYSOSE.2019.8753830)

2018

• Le, C. H. et al., 2018. An integrated system and framework for development of medical applications and products based on medical imaging data. Presented at: BME 2017: International Conference on the Development of Biomedical Engineering in Vietnam Ho Chi Minh, Vietnam 27-29 June 2017. Published in: Van, T. V. , Nguyen Le, T. A. and Nguyen Duc, T. eds. 6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6). Vol. 63.IFMBE Proceedings Cham: Springer. , pp.363-368. (10.1007/978-981-10-4361-1_61)
• Li, G. et al., 2018. Research on risk fuzzy comprehensive evaluation for construction engineering projects based on AHM. Presented at: 2017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM) NIngbo, China 19-21 November 2017. 2017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM). IEEE. , pp.605-608. (10.1109/ICCIS.2017.8274846)
• Lorenz, C. et al. 2018. Artificial neural network-based modelling for daylight evaluations. Presented at: SimAUD 2018 Delft, The Netherlands 4-7 June 2018.
• Mai, A. T. et al., 2018. Detection and monitoring of cancers with biosensors in Vietnam. Presented at: BME 2017: International Conference on the Development of Biomedical Engineering in Vietnam Ho Chi Minh, Vietnam 27-29 June 2017. Published in: Van, T. V. , Nguyen Le, T. A. and Nguyen Duc, T. eds. 6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6). Vol. 63.IFMBE Proceedings Singapore: Springer. , pp.687-691. (10.1007/978-981-10-4361-1_118)
• My, C. A. et al., 2018. Novel robot arm design and implementation for hot forging press automation. International Journal of Production Research (10.1080/00207543.2018.1521026)
• Packianather, M. S. et al. 2018. Optimizing the number of acoustic emission sensors using the bees algorithm for detecting surface fractures. Procedia CIRP 67 , pp.362-367. (10.1016/j.procir.2017.12.227)
• Packianather, M. S. et al. 2018. Predictive maintenance in a manufacturing environment through FIT manufacturing and discrete event simulation. Presented at: 2018 World Automation Congress (WAC) Stevenson, WA, USA 3-6 Jun 2018. 2018 World Automation Congress. IEEE. , pp.237-242. (10.23919/WAC.2018.8430400)
• Pham, B. M. et al., 2018. Cost-effective solutions and tools for medical image processing and design of personalised cranioplasty implants. Presented at: BME 2017: International Conference on the Development of Biomedical Engineering in Vietnam Ho Chi Minh, Vietnam 27-29 June 2017. Published in: Van, T. V. , Nguyen Le, T. A. and Nguyen Duc, T. eds. 6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6). Vol. 63.IFMBE Proceedings Singapore: Springer. , pp.397-402. (10.1007/978-981-10-4361-1_67)
• Yi, L. et al. 2018. Evaluation on the development degree of China's seven pilot carbon markets. Chinese Journal of Population Resources and Environment 16 (1), pp.28-35. (10.1080/10042857.2018.1433809)

2017

• Alexopoulos, T. and Packianather, M. 2017. A monitoring and data analysis system to achieve zero-defects manufacturing in highly regulated industries. Presented at: 4th International Conference on Sustainable Design and Manufacturing Bologna, Italy Apr 2017. Sustainable Design and Manufacturing 2017. Vol. 68.Cham: Springer. , pp.303-313. (10.1007/978-3-319-57078-5_30)
• Ismail, H. A. , Packianather, M. S. and Grosvenor, R. I. 2017. Multi-objective invasive weed optimization of the LQR controller. International Journal of Automation and Computing 14 (3), pp.321-339. (10.1007/s11633-017-1061-3)
• Le, C. H. et al., 2017. Customer driven mass-customisation and innovative product development with parametric design & generative modeling. Presented at: 15th International Conference on Manufacturing Research London, UK 5-7 September 2017. Advances in Manufacturing Technology XXXI. Vol. 6.Advances in Transdisciplinary Engineering London: IOS Press. , pp.415 - 420. (10.3233/978-1-61499-792-4-415)
• Nguyen, V. B. et al., 2017. Recent advances in experimental testing and computational modelling for characterisation of mechanical properties of biomaterials and biological cells. Presented at: BME 2017: International Conference on the Development of Biomedical Engineering in Vietnam Ho Chi Minh, Vietnam 27-29 June 2017. Published in: Van, T. , Nguyen Le, T. and Nguyen Duc, T. eds. 6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6). Vol. 63.IFMBE Proceedings Cham: Springer. , pp.655-660. (10.1007/978-981-10-4361-1_112)
• Packianather, M. S. et al. 2017. Data mining techniques applied to a manufacturing SME. Procedia CIRP 62 , pp.123-128. (10.1016/j.procir.2016.06.120)
• Yuce, B. et al., 2017. Hybrid genetic bees algorithm applied to single machine scheduling with earliness and tardiness penalties. Computers and Industrial Engineering 113 , pp.842-858. (10.1016/j.cie.2017.07.018)

2016

• Al-Moadhen, A. A. et al. 2016. Robot task planning in deterministic and probabilistic conditions using semantic knowledge base. International Journal of Knowledge and Systems Science 7 (1), pp.56-77. (10.4018/IJKSS.2016010104)
• Davies, A. et al. 2016. Achieving sustainability in SME manufacturing operations via the use of flexible integrated technology and product symbiosis. Presented at: SDM 2016 Crete, Greece 4-6 April 2016. Published in: Setchi, R. et al. Sustainable Design and Manufacturing 2016. Vol. 52.Smart Innovation, Systems and Technologies Cham: Springer. , pp.281-293. (10.1007/978-3-319-32098-4_25)
• Ismail, H. et al. 2016. The application of IWO in LQR controller design for the Robogymnast. Presented at: SAI Intelligent Systems Conference 2015 (IntelliSys) London, UK 10-11 November 2015. 2015 SAI Intelligent Systems Conference (IntelliSys 2015). Institute of Electrical and Electronics Engineers (IEEE). , pp.274-279. (10.1109/IntelliSys.2015.7361154)
• Martino, G. et al. 2016. Optimisation of the replenishment problem in the fashion retail industry using Tabu-Bees algorithm. IFAC-PapersOnLine 49 (12), pp.1685-1690. (10.1016/j.ifacol.2016.07.823)
• Packianather, M. S. et al. 2016. Manufacturing process flow improvements using simulation and sustainable manufacturing. Presented at: 2016 World Automation Congress (WAC) 31 July-4 August 2016. 2016 World Automation Congress (WAC). IEEE(10.1109/WAC.2016.7582970)

2015

• Al-Moadhen, A. et al., 2015. Improving the efficiency of robot task planning by automatically integrating its planner and common-sense knowledge base. In: Tweedale, J. W. , Jain, L. C. and Watada, J. eds. Knowledge-Based Information Systems in Practice. Vol. 30, Springer. , pp.185-198. (10.1007/978-3-319-13545-8_11)
• Packianather, M. S. , Griffiths, C. and Kadir, W. 2015. Micro injection moulding process parameter tuning. Presented at: 9th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '14 Capri, Italy 23- 25 July 2014. Procedia CIRP: 9th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '14. Vol. 33.Elsevier. , pp.400-405.
• Packianather, M. S. and Kapoor, B. 2015. A wrapper-based feature selection approach using Bees Algorithm for a wood defect classification system. Presented at: 2015 10th System of Systems Engineering Conference (SoSE) San Antonio, TX, USA 17-20 May 2015. 2015 10th System of Systems Engineering Conference (SoSE 2015). Institute of Electrical and Electronics Engineers (IEEE). , pp.498-503. (10.1109/SYSOSE.2015.7151902)
• Yuce, B. et al. 2015. An enhancement to the Bees Algorithm with slope angle computation and Hill Climbing Algorithm and its applications on scheduling and continuous-type optimisation problem. Production & Manufacturing Research: An Open Access Journal 3 (1), pp.3-19. (10.1080/21693277.2014.976321)

2014

• Al-Moadhen, A. et al., 2014. Automation in handling uncertainty in semantic-knowledge based robotic task-planning by using markov logic networks.. Procedia Computer Science 35 (C), pp.1023-1032. (10.1016/j.procs.2014.08.188)
• Ismail, H. , Eldukhri, E. E. and Packianather, M. S. 2014. Invasive weed optimization of swing-up control parameters for robot gymnast. Presented at: 2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) Besançon, France 8-11 July 2014. 2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). Hoboken, NJ: IEEE. , pp.88-93. (10.1109/AIM.2014.6878052)
• Mastrocinque, E. et al. 2014. A system of systems approach to supply chain design. Applied Mechanics and Materials 496 , pp.2807-2814. (10.4028/www.scientific.net/AMM.496-500.2807)
• Packianather, M. S. et al. 2014. Novel Genetic Bees Algorithm applied to single machine scheduling problem. Presented at: World Automation Congress (WAC) 2014 Waikoloa, Hawaii, USA 3-7 August 2014. World Automation Congress (WAC), 2014. IEEE. , pp.906-911. (10.1109/WAC.2014.6936194)
• Yuce, B. et al. 2014. A multi-objective supply chain optimisation using enhanced Bees Algorithm with adaptive neighbourhood search and site abandonment strategy. Swarm and Evolutionary Computation 18 , pp.71-82. (10.1016/j.swevo.2014.04.002)
• Yuce, B. et al. 2014. Neural network design and feature selection using principal component analysis and Taguchi method for identifying wood veneer defects. Production & Manufacturing Research: An Open Access Journal 2 (1), pp.291-308. (10.1080/21693277.2014.892442)
• Yuce, B. et al. 2014. The Bees Algorithm and its applications. In: Vasant, P. ed. Handbook of Research on Artificial Intelligence Techniques and Algorithms. IGI Global(10.4018/978-1-4666-7258-1.ch004)

2013

• Mastrocinque, E. et al. 2013. A multi-objective optimisation for supply chain network using the bees algorithm. International Journal of Engineering Business Management 5 , pp.1-11. 38. (10.5772/56754)
• Ramírez, F. J. et al., 2013. The development of competencies in manufacturing engineering by means of a deep-drawing tool. Journal of Intelligent Manufacturing 24 (3), pp.457-472. (10.1007/s10845-011-0575-8)
• Yuce, B. et al. 2013. Honey bees inspired optimization method: the Bees Algorithm. Insects 4 (4), pp.646-662. (10.3390/insects4040646)

2012

• Ji, Z. et al. 2012. Towards automated task planning for service robots using semantic knowledge representation. Presented at: 2012 10th IEEE International Conference on Industrial Informatics (INDIN) Beijing, China 25-27 July 2012. INDIN2012: IEEE 10th International Conference on Industrial Informatics. Los Alamitos, CA: IEEE. , pp.1194-1201. (10.1109/INDIN.2012.6301131)
• Kamil, H. , Eldukhri, E. E. and Packianather, M. S. 2012. Optimisation of swing-up control parameters for a robot gymnast using the Bees Algorithm. Presented at: 8th International Symposium on Intelligent and Manufacturing Systems (IMS2012) Antalya, Turkey 27 - 28 September 2012. Proceedings of 8th International Symposium on Intelligent and Manufacturing Systems (IMS 2012). Amtalya: Sakarya University Department of Industrial Engineering. , pp.456-466.

2011

• Ramirez, F. J. , Packianather, M. S. and Pham, D. T. 2011. Improving Multistage Plastic Deformation Processes by Means of a Sustainable Manufacturing System. IEEE Systems Journal 5 (3), pp.332-341. (10.1109/JSYST.2011.2152010)

2010

• Minev, E. et al. 2010. Utilizing a Grid method for Accuracy Study of Micro SLA parts. Presented at: 7th International Conference on Multi-Material Micro Manufacture, Bourg en Bresse and Oyonnax, France 17-19 November 2010. Published in: Fillon, B. , Khan-Malek, C. and Dimov, S. S. eds. Proceedings of the 6th International Conference on Multi-Material Micro Manufacture. Singapore: Research Publishing. , pp.257-260. (10.3850/978-981-08-6555-9_154)
• Packianather, M. S. et al. 2010. Spiking neural network with delay-adaption learning model for decision support in treating dental malocclusions. VIMation Journal 2010 (1), pp.48-57.
• Pham, D. T. et al. 2010. A data ordering method for the RULES family of algorithms. Presented at: I*PROMS 2009 Conference :Innovative Production Machines and Systems Cardiff, UK July 6-17 2009. Published in: Pham, D. T. , Eldukhri, E. E. and Soroka, A. J. eds. Innovative production machines and systems: fifth I*PROMS Virtual Conference, 6-17th July 2009. Dunbeath: Whittles. , pp.200-205.

2008

• Egbunike, O. et al. 2008. Are capsule pipelines a pipe dream? A critical review. Presented at: Logistics Research Network Annual Conference Liverpool, UK 10-12 September 2008.
• Griffiths, C. A. et al., 2008. Micro injection moulding: simulation of melt flow behaviour. Presented at: 4th International Conference on Multi-Material Micro Manufacture (4M) Cardiff, UK 9-11 September 2008. Published in: Dimov, S. and Menz, W. eds. 4M 2008 : Fourth International Conference on Multi-Material Micro Manufacture, 9th-11th September 2008, Cardiff, UK. Dunbeath: Whittles. , pp.267-270.
• Griffiths, C. A. et al. 2008. The finite element analysis of melt flow behaviour in micro-injection moulding. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 222 (9), pp.1107-1118. (10.1243/09544054JEM965)
• Pham, D. et al. 2008. The innovative production machines and systems network of excellence. In: Putnik, G. D. and Cunha, M. .. eds. Encyclopedia of Networked and Virtual Organisations. Information Science Reference. , pp.725-728.
• Pham, D. T. , Packianather, M. S. and Charles, E. Y. A. 2008. Control chart pattern clustering using a new self-organizing spiking neural network. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 222 (10), pp.1201-1211. (10.1243/09544054JEM1054)
• Zurek, S. et al. 2008. Prediction of power loss and permeability with the use of an artificial neural network in wound toroidal cores. Journal of Magnetism and Magnetic Materials 320 (20), pp.e1001-e1005. (10.1016/j.jmmm.2008.04.177)

2007

• Packianather, M. S. et al. 2007. Investigation of micro-injection moulding: factors affecting the replication quality. Journal of Materials Processing Technology 183 (2-3), pp.284 - 296. (10.1016/j.jmatprotec.2006.10.019)
• Pham, D. T. et al. 2007. Recent advances in micro and nano manufacturing. Presented at: Proceedings of 4th International Conference on Digital Enterprise Technology (DET2007) Bath, UK, pp.24-33.
• Pham, D. T. et al. 2007. Using the bees algorithm to train neural networks for wood defect identification. Presented at: 40th CIRP International Seminar on Manufacturing Systems Liverpool, UK 30 May – 1 June 2007.
• Sha, B. et al., 2007. Micro-injection moulding: factors affecting the achievable aspect ratios. International Journal of Advanced Manufacturing Technology 33 (1-2), pp.147 - 156. (10.1007/s00170-006-0579-2)
• Zurek, S. et al., 2007. Neural networks for prediction of power loss and permeability in wound toroidal cores. Presented at: 18th Soft Magnetic Materials Conference (SMM18) Cardiff, UKVol. J-012. , pp.113.

2006

• Pham, D. T. et al. 2006. The Fp6 I*Proms network of excellence: Integrating European advanced manufacturing research. Presented at: 5th International Symposium on Intelligent and Manufacturing Systems (IMS 2006) Sakarya, Turkey 29-31 May 2006.
• Pham, D. T. et al. 2006. Introduction to the special section on Innovative Production Machines and Systems (I*PROMS). Engineering Applications of Artificial Intelligence 19 (6), pp.579-581. (10.1016/j.engappai.2006.03.007)
• Pham, D. T. et al. 2006. Optimising neural networks for identification of wood defects using the bees algorithm. Presented at: 2006 IEEE International Conference on Industrial Informatics Singapore 16-18 August 2006. Proceedings of the 2006 IEEE International Conference on Industrial Informatics, Singapore, 16-18 August 2006. IEEE. , pp.1346-1351. (10.1109/INDIN.2006.275855)
• Zurek, S. , Moses, A. J. and Packianather, M. S. 2006. Implementing an Artificial Neural Network Using National Instruments LabVIEW. Project Report.[Online].Newbury, Berkshire: National Instruments. Available at: http://sine.ni.com/cs/app/doc/p/id/cs-681.

2005

• Packianather, M. S. and Drake, P. R. 2005. Comparison of neural and minimum distance classifiers in wood veneer defect identification. Proceedings of Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 219 (11), pp.831-841. (10.1243/095440505X32823)
• Pham, D. T. et al. 2005. The EU FP6 I*PROMS network of excellence for innovative production machines and systems. Presented at: Innovative Production Machines and Systems Conference (IPROMS 2005) Cardiff, UK
• Pham, D. T. et al. 2005. The EU FP6 I*PROMS Network of Excellence for Innovative production Machines and Systems. Presented at: Virtual International Conference on IPROMS 4th - 15th July 2005. Published in: Pham, D. T. , Eldukhri, E. E. and Soroka, A. J. eds. Intelligent Production Machines and Systems: First I*PROMS Virtual Conference, 4-15 July 2005. Amsterdam: Elsevier. , pp.1-4.

2004

• Packianather, M. S. and Drake, P. R. 2004. A modelling neural network performance through response surface methodology for classifying wood veneer defects. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 218 (4), pp.459-466. (10.1243/095440504323055588)
• Packianather, M. S. and Drake, P. R. 2004. Modelling neural network performance through response surface methodology for classifying wood veneer defects. Proceedings of Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 218 (4), pp.459-466. (10.1243/095440504323055588)
• Pham, D. T. et al. 2004. Innovative production machines and systems (I*PROMS): a network of excellence funded by the EU sixth framework programme. Presented at: Proceedings 2nd IEEE International Conference on Industrial Informatics (INDIN2004) Berlin, Germany, pp.540-544.
• Pham, D. T. et al. 2004. Integrating European advanced manufacturing research: the FP6 I*PROMS network of excellence. Presented at: Proceedings 4th CIRP (ICME 04) Sorrento, Italy, pp.543-548.
• Pham, D. T. et al. 2004. An application of datamining and machine learning techniques in the metal industry. Presented at: Proceedings 4th CIRP International Seminar on Intelligent Computation in Manufacturing Engineering Sorrento, Italy, pp.617-620.

2002

• Pham, D. T. et al. 2002. Intelligent robotised physiotherapy tested on an 8-DOF mechatronic arm. Presented at: Proceedings 15th Triennial World Congress on Automatic Control Barcelona, Spain
• Pham, D. T. et al. 2002. Statistical analysis of signal-to-noise ratios in fringe pattern matching. Presented at: 6th Annual International Conference on Signal Processing Proceedings, Institute of Electrical & Electronics Engineers Inc Peoples Post & Telecommunications Publishing House Beijing, China, pp.636-639.

2001

• Aldridge, R. J. and Packianather, M. S. 2001. An easier route to expert systems in manufacturing. Presented at: 17th National Conference on Manufacturing Research (NCMR) Cardiff, UK, pp.43-48.
• Pham, D. T. et al. 2001. A knowledge based system for selection of exercises for robotised physiotherapy. Presented at: 8th IEEE International Conference on Mechatronics and Machine Vision in Practice Hong Kong, China, pp.85-88.
• Pham, D. T. et al. 2001. A knowledge-based system for selection of exercises for robotised physiotherapy. Presented at: European Workshop on Service & Humanoid Robots (SERVICEROB) Santorini, Greece
• Pham, D. T. et al. 2001. Modelling and control of an 8-DOF mechatronic limb. Presented at: 8th IEEE International Conference on Mechatronics and Machine Vision in Practice Hong Kong, China, pp.314-317.

• AL Dawsari, S. A. , Anayi, F. and Packianather, M. null. Optimizing a hybrid off-grid photovoltaic/wind/fuel cell energy system using mantis search algorithm. Energy Conversion and Management: X 27 101209. (10.1016/j.ecmx.2025.101209)