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Muhammad Hamza Zafar

Muhammad Hamza Zafar

PhD Research Fellow

Department of Engineering Sciences >

 

+47 37 23 37 44

+47 489 19 198

Office:
D3063 ( Jon Lilletuns vei 9, Grimstad )

Research interests

 

Selected publications

 

Scientific publications

  • Ibrahim, AL-Wesabi; Hussein Farh, Hassan M.; Fang, Zhijian; Al-Shamma'a, Abdullrahman A.; Xu, Jiazhu; Alaql, Fahad; Alfraidi, Walied; Zafar, Muhammad Hamza (2024). A comprehensive comparison of advanced metaheuristic photovoltaic maximum power tracking algorithms during dynamic and static environmental conditions. Heliyon. ISSN: 2405-8440. 10 (18). doi:10.1016/j.heliyon.2024.e37458.
  • Zafar, Muhammad Hamza; Khan, Noman Mujeeb; Houran, Mohamad Abou; Mansoor, Majad; Akhtar, Naureen; Sanfilippo, Filippo (2024). A novel hybrid deep learning model for accurate state of charge estimation of Li-Ion batteries for electric vehicles under high and low temperature. Energy. ISSN: 0360-5442. 292s 1 - 22. doi:10.1016/j.energy.2024.130584.
  • Das, Opy; Zafar, Muhammad Hamza; Sanfilippo, Filippo; Rudra, Souman; Kolhe, Mohan Lal (2024). Advancements in digital twin technology and machine learning for energy systems: A comprehensive review of applications in smart grids, renewable energy, and electric vehicle optimisation. Energy Conversion and Management: X. 24doi:10.1016/j.ecmx.2024.100715.
  • Khan, Noman Mujeeb; Khan, Umer Amir; Asif, Mansoor; Zafar, Muhammad Hamza (2024). Analysis of deep learning models for estimation of MPP and extraction of maximum power from hybrid PV-TEG: A step towards cleaner energy production. Energy Reports. ISSN: 2352-4847. 11s 4759 - 4775. doi:10.1016/j.egyr.2024.04.035.
  • Moosavi, Syed Kumayl Raza; Zafar, Muhammad Hamza; Sanfilippo, Filippo (2024). Collaborative robots (cobots) for disaster risk resilience: a framework for swarm of snake robots in delivering first aid in emergency situations. Frontiers in Robotics and AI. ISSN: 2296-9144. 11s 1 - 12. doi:10.3389/frobt.2024.1362294.
  • Zafar, Muhammad Hamza; Bukhari, Syed Muhammad Salman; Houran, Mohamad Abou; Mansoor, Majad; Khan, Noman Mujeeb; Sanfilippo, Filippo (2024). DeepTimeNet: A novel architecture for precise surface temperature estimation of lithium-ion batteries across diverse ambient conditions. Case Studies in Thermal Engineering. ISSN: 2214-157X. 61doi:10.1016/j.csite.2024.105002.
  • Khan, Muhammad Kamran; Houran, Mohamad Abou; Kauhaniemi, Kimmo; Zafar, Muhammad Hamza; Mansoor, Majad; Rashid, Saad (2024). Efficient state of charge estimation of lithium-ion batteries in electric vehicles using evolutionary intelligence-assisted GLA–CNN–Bi-LSTM deep learning model. Heliyon. ISSN: 2405-8440. 10 (15). doi:10.1016/j.heliyon.2024.e35183.
  • Zafar, Muhammad Hamza; Langås, Even Falkenberg; Aftab, Muhammad Faisal; Sanfilippo, Filippo (2024). Enhanced Intrusion Detection in Robot Operating Systems via Grid Search Based Multi-Head Attention Stacked Convolutional Network. IEEE International Conference on Automation Science and Engineering. ISSN: 2161-8070. s 3880 - 3885. doi:10.1109/CASE59546.2024.10711785.
  • Muhammad Salman Bukhari, Syed; Zafar, Muhammad Hamza; Houran, Mohamad Abou; Qadir, Zakria; Moosavi, Syed Kumayl Raza; Sanfilippo, Filippo (2024). Enhancing cybersecurity in Edge IIoT networks: An asynchronous federated learning approach with a deep hybrid detection model. Internet of Things: Engineering Cyber Physical Human Systems. ISSN: 2542-6605. 27doi:10.1016/j.iot.2024.101252.
  • Khan, Muhammad Kamran; Zafar, Muhammad Hamza; Riaz, Talha; Mansoor, Majad; Akhtar, Naureen (2023). Enhancing efficient solar energy harvesting: A process-in-loop investigation of MPPT control with a novel stochastic algorithm. Energy Conversion and Management: X. 21s 1 - 17. doi:10.1016/j.ecmx.2023.100509.
  • Lodhi, Ehtisham; Dahmani, Nadia; Bukhari, Syed Muhammad Salman; Gyawali, Sujan; Thapa, Sanjog; Qiu, Lin; Zafar, Muhammad Hamza; Akhtar, Naureen (2024). Enhancing microgrid forecasting accuracy with SAQ-MTCLSTM: A self-adjusting quantized multi-task ConvLSTM for optimized solar power and load demand predictions. Energy Conversion and Management: X. 24doi:10.1016/j.ecmx.2024.100767.
  • Zafar, Muhammad Hamza; Moosavi, Syed Kumayl Raza; Sanfilippo, Filippo (2024). Enhancing unmanned ground vehicle performance in SAR operations: integrated gesture-control and deep learning framework for optimised victim detection. Frontiers in Robotics and AI. ISSN: 2296-9144. 11s 01 - 16. doi:10.3389/frobt.2024.1356345.
  • Zafar, Muhammad Hamza; Moosavi, Syed Kumayl Raza; Sanfilippo, Filippo (2024). Hierarchical Recurrent-Inception Residual Transformer (HRIRT) for Multidimensional Hand Force Estimation Using Force Myography Sensor. IEEE Sensors Letters. ISSN: 2475-1472. 8 (9). doi:10.1109/LSENS.2024.3431433.
  • Al-Tawalbeh, Nedaa; Zafar, Muhammad Hamza; Radzi, Mohd Amran Mohd; Zainuri, Muhammad Ammirrul Atiqi Mohd; Al-Wesabi, Ibrahim (2024). Novel initialization strategy: Optimizing conventional algorithms for global maximum power point tracking. Results in Engineering (RINENG). ISSN: 2590-1230. 22doi:10.1016/j.rineng.2024.102067.
  • Sanfilippo, Filippo; Økter, Martin Bjaadal; Dale, Jørgen; Hua, Minh Tuan; Zafar, Muhammad Hamza; Ottestad, Morten (2024). Open-source design of low-cost sensorised elastic actuators for collaborative prosthetics and orthotics. HardwareX. 19doi:10.1016/j.ohx.2024.e00564.
  • Murtaza, Aitzaz Ahmed; Saher, Amina; Zafar, Muhammad Hamza; Moosavi, Syed Kumayl Raza; Aftab, Muhammad Faisal; Sanfilippo, Filippo (2024). Paradigm shift for predictive maintenance and condition monitoring from Industry 4.0 to Industry 5.0: A systematic review, challenges and case study. Results in Engineering (RINENG). ISSN: 2590-1230. 24doi:10.1016/j.rineng.2024.102935.
  • Bukhari, Syed Muhammad Salman; Zafar, Muhammad Hamza; Houran, Mohamad Abou; Moosavi, Syed Kumayl Raza; Mansoor, Majad; Muaaz, Muhammad; Sanfilippo, Filippo (2024). Secure and privacy-preserving intrusion detection in wireless sensor networks: Federated learning with SCNN-Bi-LSTM for enhanced reliability. Ad hoc networks. ISSN: 1570-8705. 155doi:10.1016/j.adhoc.2024.103407.
  • Mansoor, Majad; Abou Houran, Mohamad; Al-Tawalbeh, Nedaa; Zafar, Muhammad Hamza; Akhtar, Naureen (2024). Thermoelectric power generation system intelligent Runge Kutta control: A performance analysis using processor in loop testing. Energy Conversion and Management: X. 23doi:10.1016/j.ecmx.2024.100612.
  • Ahmad, Nisar; Yi, Xu; Tayyab, Muhammad; Zafar, Muhammad Hamza; Akhtar, Naureen (2024). Water resource management and flood mitigation: hybrid decomposition EMD-ANN model study under climate change. Sustainable Water Resources Management. ISSN: 2363-5037. 10 (2). doi:10.1007/s40899-024-01048-9.
  • Mohyuddin, Hassan; Moosavi, Syed Kumayl Raza; Zafar, Muhammad Hamza; Sanfilippo, Filippo (2023). A comprehensive framework for hand gesture recognition using hybrid-metaheuristic algorithms and deep learning models. Array. ISSN: 2590-0056. 19doi:10.1016/j.array.2023.100317.
  • Muqeet, Abdul; Israr, Asif; Zafar, Muhammad Hamza; Mansoor, Majad; Akhtar, Naureen (2023). A novel optimization algorithm based PID controller design for real-time optimization of cutting depth and surface roughness in finish hard turning processes. Results in Engineering (RINENG). ISSN: 2590-1230. 18doi:10.1016/j.rineng.2023.101142.
  • Abou Houran, Mohamad; Salman Bukhari, Syed M.; Zafar, Muhammad Hamza; Mansoor, Majad; Chen, Wenjie (2023). COA-CNN-LSTM: Coati optimization algorithm-based hybrid deep learning model for PV/wind power forecasting in smart grid applications. Applied Energy. ISSN: 0306-2619. 349doi:10.1016/j.apenergy.2023.121638.
  • Moosavi, Syed Kumayl Raza; Zafar, Muhammad Hamza; Sanfilippo, Filippo; Akhter, Malik Naveed; Hadi, Shahzaib Farooq (2023). Early Mental Stress Detection Using Q-Learning Embedded Starling Murmuration Optimiser-Based Deep Learning Model. IEEE Access. ISSN: 2169-3536. 11s 116860 - 116878. doi:10.1109/ACCESS.2023.3326129.
  • Zafar, Muhammad Hamza; Langås, Even Falkenberg; Sanfilippo, Filippo (2023). Empowering human-robot interaction using sEMG sensor: Hybrid deep learning model for accurate hand gesture recognition. Results in Engineering (RINENG). ISSN: 2590-1230. 20doi:10.1016/j.rineng.2023.101639.
  • Murtaza, Aitzaz Ahmed; Amina, Saher; Mohyuddin, Hassan; Moosavi, Syed Kumayl Raza; Zafar, Muhammad Hamza; Sanfilippo, Filippo (2023). Enhancing Cardiovascular Disease Prediction via Hybrid Deep Learning Architectures: A Step Towards Smart Healthcare. 2nd International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE). ISBN: 9798350305654. IEEE conference proceedings. Paper. s 1 - 6.
  • Salman Bukhari, Syed Muhammad; Raza Moosavi, Syed Kumayl; Zafar, Muhammad Hamza; Mansoor, Majad; Mohyuddin, Hassan; Sajid Ullah, Syed; Alroobaea, Roobaea; Sanfilippo, Filippo (2023). Federated transfer learning with orchard-optimized Conv-SGRU: A novel approach to secure and accurate photovoltaic power forecasting. Renewable Energy Focus. ISSN: 1755-0084. 48doi:10.1016/j.ref.2023.100520.
  • Hua, Tuan; Langås, Even Falkenberg; Zafar, Muhammad Hamza; Sanfilippo, Filippo (2023). From rigid to hybrid/soft robots: Exploration of ethical and philosophical aspects in shifting from caged robots to human-robot teaming. 2023 IEEE Symposium Series on Computational Intelligence (SSCI). ISBN: 978-1-6654-3065-4. IEEE conference proceedings. Paper. s 1794 - 1799.
  • Zafar, Muhammad Hamza; Sanfilippo, Filippo; Blažauskas, Tomas (2023). Harmony unleashed: Exploring the ethical and philosophical aspects of machine learning in human-robot collaboration for industry 5.0. 2023 IEEE Symposium Series on Computational Intelligence (SSCI). ISBN: 978-1-6654-3065-4. IEEE conference proceedings. Conference paper. s 1775 - 1780.
  • Langås, Even Falkenberg; Zafar, Muhammad Hamza; Sanfilippo, Filippo (2023). Harnessing digital twins for human-robot teaming in industry 5.0: Exploring the ethical and philosophical implications. 2023 IEEE Symposium Series on Computational Intelligence (SSCI). ISBN: 978-1-6654-3065-4. IEEE conference proceedings. Paper. s 1788 - 1793.
  • Zafar, Muhammad Hamza; Mansoor, Majad; Abou Houran, Mohamad; Khan, Noman Mujeeb; Khan, Kamran; Raza Moosavi, Syed Kumayl; Sanfilippo, Filippo (2023). Hybrid deep learning model for efficient state of charge estimation of Li-ion batteries in electric vehicles. Energy. ISSN: 0360-5442. 282doi:10.1016/j.energy.2023.128317.
  • Moosavi, Syed Kumayl Raza; Zafar, Muhammad Hamza; Mirjalili, Seyedali; Sanfilippo, Filippo (2023). Improved Barnacles Movement Optimizer (IBMO) Algorithm for Engineering Design Problems. Artificial Intelligence and Soft Computing. ISBN: 978-3-031-42505-9. Springer. Conference paper. s 427 - 438.
  • Zafar, Muhammad Hamza; Moosavi, Syed Kumayl Raza; Sanfilippo, Filippo (2023). Inverse Kinematic Modelling of a 3-DOF Robotic Manipulator using Hybrid Deep Learning Models. Procedia CIRP. ISSN: 2212-8271. 120s 213 - 218. doi:10.1016/j.procir.2023.08.038.
  • Zafar, Muhammad Hamza; Younus, Hassaan Bin; Moosavi, Syed Kumayl Raza; Mansoor, Majad; Sanfilippo, Filippo (2023). Online PID Tuning of a 3-DoF Robotic Arm Using a Metaheuristic Optimisation Algorithm: A Comparative Analysis. Communications in Computer and Information Science. ISBN: 978-3-031-48981-5. Springer. ICIST 2023. s 25 - 37.
  • Zafar, Muhammad Hamza; Khan, Noman Mujeeb; Mansoor, Majad; Sanfilippo, Filippo (2023). Optimal Tuning of PID Controller for Boost Converter using Meta-Heuristic Algorithm for Renewable Energy Applications. International Conference on Mechanical, Automotive and Mechatronics Engineering (ICMAME 2023). ISBN: 9786250015261. ICMAME. Paper. s 1 - 6.
  • Khan, Umer Amir; Khan, Noman Mujeeb; Zafar, Muhammad Hamza (2023). Resource efficient PV power forecasting: Transductive transfer learning based hybrid deep learning model for smart grid in Industry 5.0. Energy Conversion and Management: X. 20doi:10.1016/j.ecmx.2023.100486.
  • Zafar, Muhammad Hamza; Bukhari, Syed Muhammad Salman; Abou Houran, Mohamad; Moosavi, Syed Kumayl Raza; Mansoor, Majad; Al-Tawalbeh, Nedaa; Sanfilippo, Filippo (2023). Step towards secure and reliable smart grids in Industry 5.0: A federated learning assisted hybrid deep learning model for electricity theft detection using smart meters. Energy Reports. ISSN: 2352-4847. 10s 3001 - 3019. doi:10.1016/j.egyr.2023.09.100.

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Last changed: 26.05.2023 13:05