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Biography

Dr. Saber M. E. Fadul is a Senior Member of the IEEE, a prestigious recognition that highlights his substantial contributions to electrical and electronics engineering, his leadership in advancing technology, and his commitment to excellence in research and innovation.
Dr. Fadul is a distinguished researcher renowned for his expertise in control systems and automation engineering. He holds a B.Eng. (Hons.) and an M.Sc. in Electrical and Electronics Engineering with a specialization in Control and Automation from Sudan University of Science and Technology, Khartoum, Sudan, earned in 2001 and 2008, respectively. Driven by a passion for advancing technological innovation, Dr. Fadul pursued and completed his Ph.D. in Control Systems and Automation Engineering at Universiti Putra Malaysia (UPM). Following his doctoral studies, he continued his academic journey at UPM as a postdoctoral researcher and later as a fellow researcher, where he made significant contributions to cutting-edge research in advanced engineering and technological systems.
Dr. Fadul has a wealth of experience in academia, industry, and applied research, which is marked by his involvement in various innovative projects. Since 2018, he has been affiliated with Universiti Putra Malaysia (UPM) and the Malaysia Automotive Robotics and IoT Institute (MARii) in Cyberjaya, Malaysia. During this time, he played a pivotal role in driving advancements in the automotive and robotics sectors.
In addition to his academic roles, Dr. Fadul has collaborated with various companies and institutions to spearhead research and development initiatives. Notably, from March 2022 to April 2024, he served as a project manager and supervisor for a groundbreaking electric vehicle (EV) project. This project culminated in the design and development of the company’s first-ever EV prototype, showcasing his leadership and technical expertise in bringing visionary concepts to fruition.
Research Contributions:
Dr. Fadul’s contributions to the field are both impactful and far-reaching. His research endeavors span multiple domains, with a focus on cutting-edge projects such as:
Electric Vehicle (EV) Powertrains: Designing and optimizing high-performance powertrain systems to meet modern EV demands.
Motor Control Systems: Developing efficient, reliable, and scalable motor control solutions.
Battery Management Systems (BMS): Innovating methods to improve battery safety, performance, and operational lifespan.
Charging Infrastructure: Pioneering advancements in EV charging systems to enhance efficiency and accessibility.
Machine Learning and Control Systems: Applying advanced data-driven methodologies and machine learning algorithms to optimize control systems and improve overall system performance.
Dr. Fadul has published extensively in high-impact, peer-reviewed journals and has presented his findings at renowned international conferences, significantly advancing knowledge in control systems, power electronics, and electric mobility.
Dr. Fadul’s research interests align with some of the most promising and transformative areas in modern engineering and technology, including:

1. Digital Control Systems and Optimization
- Fundamental principles of control and system optimization.
- Basis for automated and intelligent decision-making.

2. Data-Driven System Control and Computational Simulation
- Using data to enhance control mechanisms.
- Simulation techniques for testing and improving system performance.

3. Artificial Intelligence (AI) and Machine Learning (ML)
- Advanced AI techniques for automation, prediction, and self-learning systems.
- Machine learning algorithms improving control and decision-making.

4. Power Electronics and Electric Drive Systems
- Key hardware and electronics required for power management.
- Electric drive systems for industrial and automotive applications.

5. Battery Technologies and EV Energy Systems
- Application of control, AI, and power electronics in energy storage and electric vehicles.
- Optimization of battery performance and charging systems.

Activities

Works (6)

Reliability-aware swarm based multi-objective optimization for controller placement in distributed SDN architecture

Digital Communications and Networks
2024-10 | Journal article
Contributors: Abeer A.Z. Ibrahim; Fazirulhisyam Hashim; Aduwati Sali; Nor K. Noordin; Keivan Navaie; Saber M.E. Fadul
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A Multi-Objective Routing Mechanism for Energy Management Optimization in SDN Multi-Control Architecture

IEEE Access
2022 | Journal article
Contributors: Abeer A. Z. Ibrahim; Fazirulhisyam Hashim; Aduwati Sali; Nor K. Noordin; Saber M. E. Fadul
Source: check_circle
Crossref

Heuristic Resource Allocation Algorithm for Controller Placement in Multi-Control 5G Based on SDN/NFV Architecture

IEEE Access
2021 | Journal article
Contributors: Abeer A. Z. Ibrahim; Fazirulhisyam Hashim; Nor K. Noordin; Aduwati Sali; Keivan Navaie; Saber M. E. Fadul
Source: check_circle
Crossref
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A Modified Genetic Algorithm for Controller Placement Problem in SDN Distributed Network

2021 26th IEEE Asia-Pacific Conference on Communications (APCC)
2021-10-11 | Conference paper
Source: Self-asserted source
Saber Fadul

Modelling and Simulation of Powertrain System for Electric Car

Journal of the Society of Automotive Engineers Malaysia
2018-01-10 | Journal article
Contributors: Saber Fadul
Source: Self-asserted source
Saber Fadul

Modelling and simulation of electric drive vehicle based on Space Vector Modulation technique and Field Oriented Control strategy

2017 International Conference on Communication, Control, Computing and Electronics Engineering (ICCCCEE)
2017-01 | Conference paper
Contributors: Saber M. E. Fadul; Ishak Aris; Norhisam Misron; Izhal A Halin; A.K.M. Parvez Iqbal
Source: Self-asserted source
Saber Fadul
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