Dr Ashraf Fahmy Abdo

Uwch-ddarlithydd

Mechanical Engineering

a.a.fahmy@abertawe.ac.uk

311
Trydydd Llawr
Adeilad Gogleddol Peirianneg
Campws y Bae

Ar gael ar gyfer Goruchwyliaeth Ôl-raddedig

Dolenni Ymchwil

https://orcid.org/0000-0003-1624-1725

ResearchGate

Google Scholar

ResearcherID

Scopus

Trosolwg

Derbyniodd Dr ASHRAF FAHMY radd BEng (Anrh.) mewn Peirianneg Drydanol ym 1992, MSc ag arbenigedd mewn Rheoli Fectorau Fflwcs Peiriannau Trydanol ym 1999, y ddwy radd o Brifysgol Helwan, Cairo, yr Aifft, a PhD ag arbenigedd mewn Rheoli Niwro-Niwlog Trinwyr Robotig yn 2005, o Brifysgol Caerdydd, y DU. Mae ganddo dros 28 mlynedd o arbenigedd mewn gwneud penderfyniadau cyfrifiadura meddal, cloddio data a dysgu peirianyddol, systemau gweithgynhyrchu, gwaith trin robotig, roboteg feddal, seiberneteg, peirianneg systemau rheoli, gyriannau trydanol, a pheirianneg pŵer trydanol. Ar hyn o bryd mae'n Uwch-ddarlithydd yn y Gyfadran Gwyddoniaeth a Pheirianneg, Prifysgol Abertawe. Drwy ei addysg mae'n beiriannydd rheoli pŵer a pheiriannau trydanol, yn beiriannydd roboteg a rheoli drwy ei ymchwil, ac yn ymgynghorydd systemau gweithgynhyrchu drwy brofiad yn y DU ac yn rhanbarth y Dwyrain Canol a Gogledd Affrica.

Meysydd Arbenigedd

Gwaith trin robotig
Rheoli Roboteg Feddal
Seiberneteg a pheirianneg Systemau Rheoli Gyriannau trydanol
Peirianneg ynni trydanol
Gwneud penderfyniadau am gyfrifiadura meddal
Cloddio data a Dysgu Peirianyddol
Peirianneg Systemau Gweithgynhyrchu

Uchafbwyntiau Gyrfa

Diddordebau Addysgu

Goruchwylio myfyrwyr MSc, MPhil, PhD

Goruchwylio myfyrwyr PhD diwydiannol

Ymchwil ddiwydiannol

Ymchwil Prif Wobrau

Cyhoeddiadau

Uchafbwyntiau Ymchwil

AL-SOROUR, A., Fazeli, M., Monfared, M., & Fahmy Abdo, A. (2023). Investigation of Electric Vehicles Contributions in an Optimized Peer-to-Peer Energy Trading System. IEEE Access, 11, 12489-12503.
https://doi.org/10.1109/access.2023.3242052, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62478
Bhuiyan, N., Balasubramanian, L., Fahmy Abdo, A., Belblidia, F., & Sienz, J. (2023). Modelling and Optimization of Interior Permanent Magnet Motor for Electric Vehicle Applications and Effect on Sustainable Transportation. In Sustainable Design and Manufacturing (pp. 301-311). Springer Nature Singapore.
https://doi.org/10.1007/978-981-19-9205-6_29, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62229
Elshenawy, M., Fahmy Abdo, A., Elsamahy, A., Zoghby, H., & Kandil, S. (2022). Improving frequency response for AC interconnected microgrids containing renewable energy resources. Frontiers in Energy Research, 10
https://doi.org/10.3389/fenrg.2022.1035097, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62244
Elshenawy, M., Fahmy Abdo, A., Elsamahy, A., Kandil, S., & Zoghby, H. (2022). Optimal Power Management of Interconnected Microgrids Using Virtual Inertia Control Technique. Energies, 15(19), 7026
https://doi.org/10.3390/en15197026, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61349
Al-Sorour, A., Fazeli, M., Monfared, M., Fahmy Abdo, A., Searle, J., & Lewis, R. (2022). Enhancing PV Self-Consumption Within an Energy Community Using MILP-Based P2P Trading. IEEE Access, 10, 93760-93772.
https://doi.org/10.1109/access.2022.3202649, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60988
Sorour, A., Fazeli, M., Monfared, M., Fahmy Abdo, A., Searle, J., & Lewis, R. (2022). MILP Optimized Management of Domestic PV-Battery Using Two Days-Ahead Forecasts. IEEE Access, 10, 29357-29366.
https://doi.org/10.1109/access.2022.3158303, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59598
Torquato, M., Martinez Ayuso, G., Fahmy Abdo, A., & Sienz, J. (2021). Multi-Objective Optimization of Electric Arc Furnace Using the Non-Dominated Sorting Genetic Algorithm II. IEEE Access, 9, 149715-149731.
https://doi.org/10.1109/access.2021.3125519, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58644
Sorour, A., Fazeli, M., Monfared, M., Fahmy Abdo, A., Searle, J., & Lewis, R. (2021). Enhancing Self-consumption of PV-battery Systems Using a Predictive Rule-based Energy Management. In 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)IEEE.
https://doi.org/10.1109/isgteurope52324.2021.9640051, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58321
Torquato, M., Lakshmanan, K., Narożańska, N., Potter, R., Williams, A., Belblidia, F., Fahmy Abdo, A., & Sienz, J. (2021). Cascade Optimisation of Battery Electric Vehicle Powertrains. Procedia Computer Science, 192, 592-601.
https://doi.org/10.1016/j.procs.2021.08.061, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58380
Zhu, S., Stuttaford-Fowler, A., Fahmy Abdo, A., Li, C., & Sienz, J. (2021). Development of a Low-cost Data Glove using Flex Sensors for the Robot Hand Teleoperation. In 2021 3rd International Symposium on Robotics & Intelligent Manufacturing Technology (ISRIMT)IEEE.
https://doi.org/10.1109/isrimt53730.2021.9596972, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62572

Holl Ymchwil

Erthyglau Cylchgronau

Chen, L., Li, C., Fahmy Abdo, A., & Sienz, J. (2024). GestureMoRo: an algorithm for autonomous mobile robot teleoperation based on gesture recognition. Scientific Reports, 14(1)
https://doi.org/10.1038/s41598-024-54488-w, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66028
Zhang, X., Wang, Y., Li, C., Fahmy Abdo, A., & Sienz, J. (2024). Innovative multi-dimensional learning algorithm and experiment design for human-robot cooperation. Applied Mathematical Modelling, 127, 730-751.
https://doi.org/10.1016/j.apm.2024.01.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65989
Chen, D., Zhuo, L., Shao, Y., Li, S., Griffiths, C., & Fahmy Abdo, A. (2024). Robust Tracking Control of Heterogeneous Robots With Uncertainty: A Super-Exponential Convergence Neurodynamic Approach. IEEE Transactions on Automation Science and Engineering, 1-13.
https://doi.org/10.1109/tase.2023.3310498, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64418
AL-SOROUR, A., Fazeli, M., Monfared, M., & Fahmy Abdo, A. (2023). Investigation of Electric Vehicles Contributions in an Optimized Peer-to-Peer Energy Trading System. IEEE Access, 11, 12489-12503.
https://doi.org/10.1109/access.2023.3242052, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62478
Elshenawy, M., Fahmy Abdo, A., Elsamahy, A., Zoghby, H., & Kandil, S. (2022). Improving frequency response for AC interconnected microgrids containing renewable energy resources. Frontiers in Energy Research, 10
https://doi.org/10.3389/fenrg.2022.1035097, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62244
Elshenawy, M., Fahmy Abdo, A., Elsamahy, A., Kandil, S., & Zoghby, H. (2022). Optimal Power Management of Interconnected Microgrids Using Virtual Inertia Control Technique. Energies, 15(19), 7026
https://doi.org/10.3390/en15197026, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61349
Al-Sorour, A., Fazeli, M., Monfared, M., Fahmy Abdo, A., Searle, J., & Lewis, R. (2022). Enhancing PV Self-Consumption Within an Energy Community Using MILP-Based P2P Trading. IEEE Access, 10, 93760-93772.
https://doi.org/10.1109/access.2022.3202649, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60988
Sorour, A., Fazeli, M., Monfared, M., Fahmy Abdo, A., Searle, J., & Lewis, R. (2022). MILP Optimized Management of Domestic PV-Battery Using Two Days-Ahead Forecasts. IEEE Access, 10, 29357-29366.
https://doi.org/10.1109/access.2022.3158303, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59598
Torquato, M., Martinez Ayuso, G., Fahmy Abdo, A., & Sienz, J. (2021). Multi-Objective Optimization of Electric Arc Furnace Using the Non-Dominated Sorting Genetic Algorithm II. IEEE Access, 9, 149715-149731.
https://doi.org/10.1109/access.2021.3125519, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58644
Torquato, M., Lakshmanan, K., Narożańska, N., Potter, R., Williams, A., Belblidia, F., Fahmy Abdo, A., & Sienz, J. (2021). Cascade Optimisation of Battery Electric Vehicle Powertrains. Procedia Computer Science, 192, 592-601.
https://doi.org/10.1016/j.procs.2021.08.061, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58380
Shao, Y., Fahmy Abdo, A., Li, M., Li, C., Zhao, W., & Sienz, J. (2021). Study on Magnetic Control Systems of Micro-Robots. Frontiers in Neuroscience, 15
https://doi.org/10.3389/fnins.2021.736730, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58108
Williams, A., Torquato, M., Cameron, I., Fahmy Abdo, A., & Sienz, J. (2021). Survey of Energy Harvesting Technologies for Wireless Sensor Networks. IEEE Access, 9, 77493-77510.
https://doi.org/10.1109/access.2021.3083697, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57098
Sorour, A., Fazeli, M., Monfared, M., Fahmy Abdo, A., Searle, J., & Lewis, R. (2021). Forecast-Based Energy Management for Domestic PV-Battery Systems: A U.K. Case Study. IEEE Access, 9, 58953-58965.
https://doi.org/10.1109/access.2021.3072961, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56658
Li, C., Fahmy Abdo, A., Li, S., & Sienz, J. (2020). An Enhanced Robot Massage System in Smart Homes Using Force Sensing and a Dynamic Movement Primitive. Frontiers in Neurorobotics, 14
https://doi.org/10.3389/fnbot.2020.00030, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54859
Llewellyn-Evans, H., Griffiths, C., & Fahmy Abdo, A. (2020). Microgripper design and evaluation for automated µ-wire assembly: a survey. Microsystem Technologies, 26(6), 1745-1768.
https://doi.org/10.1007/s00542-019-04741-4, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53412
Llewellyn-Evans, H., Griffiths, C., & Fahmy Abdo, A. (2020). An experimental study into displacement of a shape memory alloy actuated robotic microgripper. Engineering Research Express, 2(1), 015027
https://doi.org/10.1088/2631-8695/ab6d27, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62555
Fahmy Abdo, A., Llewellyn-Evans, H., Griffiths, C., Fahmy, A., & Griffiths, C. (2019). Design process and simulation testing of a shape memory alloy actuated robotic microgripper. Microsystem Technologies
https://doi.org/10.1007/s00542-019-04599-6, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa51715
Li, C., Fahmy Abdo, A., & Sienz, J. (2019). An Augmented Reality Based Human-Robot Interaction Interface Using Kalman Filter Sensor Fusion. Sensors, 19(20), 4586
https://doi.org/10.3390/s19204586, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52479
Li, C., Fahmy Abdo, A., & Sienz, J. (2019). Development of a Neural Network-Based Control System for the DLR-HIT II Robot Hand Using Leap Motion. IEEE Access, 7, 136914-136923.
https://doi.org/10.1109/ACCESS.2019.2942648, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52484
Pham, D., Fahmy Abdo, A., & Eldukhri, E. (2016). ADAPTIVE FUZZY NEURAL NETWORK FOR INVERSE MODELING OF ROBOT MANIPULATORS. IFAC Proceedings Volumes, 41(2), 5308-5313.
https://doi.org/10.3182/20080706-5-kr-1001.00893, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62573
Fahmy Abdo, A. & Ghany, A. (2013). Neuro-fuzzy inverse model control structure of robotic manipulators utilized for physiotherapy applications. Ain Shams Engineering Journal, 4(4), 805-829.
https://doi.org/10.1016/j.asej.2013.02.010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62566
Fahmy Abdo, A., Kalyoncu, M., & Castellani, M. (2012). Automatic design of control systems for robot manipulators using the bees algorithm. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 226(4), 497-508.
https://doi.org/10.1177/0959651811425312, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62567
Pham, D. & Fahmy Abdo, A. (2005). INTELLIGENT INTERNAL MODEL CONTROL OF ROBOTS FOR UPPER-LIMB REHABILITATION. IFAC Proceedings Volumes, 38(1), 319-324.
https://doi.org/10.3182/20050703-6-cz-1902.01131, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62559
Pham, D. & Fahmy Abdo, A. (2005). NEURO-FUZZY MODELLING AND CONTROL OF ROBOT MANIPULATORS FOR TRAJECTORY TRACKING. IFAC Proceedings Volumes, 38(1), 170-175.
https://doi.org/10.3182/20050703-6-cz-1902.01453, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62558

Cyfraniadau Cynadleddau

Bhuiyan, N., Balasubramanian, L., Fahmy Abdo, A., Belblidia, F., & Sienz, J. (2023). Modelling and Optimization of Interior Permanent Magnet Motor for Electric Vehicle Applications and Effect on Sustainable Transportation. In Sustainable Design and Manufacturing (pp. 301-311). Springer Nature Singapore.
https://doi.org/10.1007/978-981-19-9205-6_29, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62229
Zhu, S., Stuttaford-Fowler, A., Fahmy Abdo, A., Li, C., & Sienz, J. (2021). Development of a Low-cost Data Glove using Flex Sensors for the Robot Hand Teleoperation. In 2021 3rd International Symposium on Robotics & Intelligent Manufacturing Technology (ISRIMT)IEEE.
https://doi.org/10.1109/isrimt53730.2021.9596972, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62572
Sorour, A., Fazeli, M., Monfared, M., Fahmy Abdo, A., Searle, J., & Lewis, R. (2021). Enhancing Self-consumption of PV-battery Systems Using a Predictive Rule-based Energy Management. In 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)IEEE.
https://doi.org/10.1109/isgteurope52324.2021.9640051, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58321
Eldieb, A., Anayi, F., & Fahmy Abdo, A. (2015). Experimental investigation on effect of edge burrs fault on toroidal magnetic cores laminations at different range of magnetisations. In 2015 50th International Universities Power Engineering Conference (UPEC)IEEE.
https://doi.org/10.1109/upec.2015.7339882, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62561
Braiwish, N., Anayi, F., Fahmy Abdo, A., & Eldukhri, E. (2015). Design optimization comparison of BLPM traction motor using bees and Genetic Algorithms. In 2015 IEEE International Conference on Industrial Technology (ICIT)IEEE.
https://doi.org/10.1109/icit.2015.7125180, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62557
Braiwish, N., Anayi, F., Fahmy Abdo, A., & Eldukhri, E. (2014). Design optimisation of Permanent Magnet Synchronous Motor for electric vehicles traction using the Bees Algorithm. In 2014 49th International Universities Power Engineering Conference (UPEC)IEEE.
https://doi.org/10.1109/upec.2014.6934742, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62564
Etumi, A., Eldukhri, E., Anayi, F., & Fahmy Abdo, A. (2014). New algorithm based on auto-correlation and cross-correlation scheme to detect the internal fault in single phase transformer. In 12th IET International Conference on Developments in Power System Protection (DPSP 2014)Institution of Engineering and Technology.
https://doi.org/10.1049/cp.2014.0151, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62565
Etumi, A., Anayi, F., Fahmy Abdo, A., & Eldukhri, E. (2014). Auto-cross correlation coefficients used for detecting an internal fault in three phase transformer. In 2014 16th International Conference on Harmonics and Quality of Power (ICHQP)IEEE.
https://doi.org/10.1109/ichqp.2014.6842784, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62563
Abdel-Hamid, R., Adma, M., Fahmy Abdo, A., & Samed, S. (2009). Optimization of wind farm power generation using new unit matching technique. In 2009 7th IEEE International Conference on Industrial InformaticsIEEE.
https://doi.org/10.1109/indin.2009.5195834, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62570
Pham, D., Castellani, M., & Fahmy Abdo, A. (2009). Evolutionary feature selection for artificial neural network pattern classifiers. In 2009 7th IEEE International Conference on Industrial InformaticsIEEE.
https://doi.org/10.1109/indin.2009.5195881, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62569
Pham, D., Castellani, M., & Fahmy Abdo, A. (2008). Learning the inverse kinematics of a robot manipulator using the Bees Algorithm. In 2008 6th IEEE International Conference on Industrial InformaticsIEEE.
https://doi.org/10.1109/indin.2008.4618151, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62571

Goruchwyliaeth

Energy Management of distributed network containing renewable energy resources. (cyfredol)

PhD

Goruchwyliwr arall: Dr Meghdad Fazeli
Model Constrained Neural Network for Robot Arm Control (cyfredol)

PhD

Goruchwyliwr arall: Dr Christian Griffiths

Modiwlau a Addysgir

EG-284 Manufacturing Technology II

The course builds on information presented in Manufacturing Technology I (EG-182) by describing advanced processes for special machining and surface modification and by examining available joining techniques for assembly of components. The advantages and limitations of specific processes are outlined and procedure for optimum design and manufacture provided. Module Aims: to provide awareness and understanding of advanced manufacturing methods used for engineering materials and components.
EGA366 Kinematics and Programming for Robot

This module first introduces various application of robot technologies focusing on manufacturing, both existing and potential are examined. The core of the module lies in the studies of robot kinematics including trajectory planning and programming. As part of this, industrial standard robot models are analysed and practically experienced through simulation toolkit and commercial software.

Dr Ashraf Fahmy Abdo

Cyfeiriad ebost

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