Farouk Zouari | Electrical Engineering | Editorial Board Member

Published on by Global Scholar Awards

Assist. Prof. Dr. Farouk Zouari | Electrical Engineering | Editorial Board Member 

Researcher | University of Tunis El Manar | Tunisia

Dr. Farouk Zouari is a distinguished researcher specializing in Electrical Engineering, Artificial Intelligence, Adaptive Control, and Computer Engineering, recognized for his pioneering contributions to intelligent control of nonlinear, fractional-order, and chaotic systems. His research primarily focuses on advanced neural and fuzzy control, time-delay system modeling, nonlinear system stabilization, and innovative output-feedback strategies, while his emerging interests explore AI-driven decision algorithms, intelligent medical control systems, and adaptive synchronization of complex dynamic systems. Dr. Zouari has served in key academic and research roles, collaborating extensively with multidisciplinary teams to develop next-generation control architectures, neural approximators, observer-based feedback systems, and high-precision adaptive controllers that strengthen both theoretical frameworks and real-world engineering applications. His contributions include novel designs for neural network controllers, intelligent fuzzy synchronization mechanisms, adaptive quantized control schemes, and robust backstepping approaches that address actuator nonlinearities, pseudo-state constraints, and fractional-order uncertainties. He has also advanced event-triggered control, intelligent drug-dosage dynamic modeling, and optimal control of electromechanical systems, providing impactful innovations with industrial, biomedical, and automation-related applications. Dr. Zouari’s growing body of research has resulted in high-impact publications that are widely cited for their methodological rigor and technical depth, contributing significantly to advancing nonlinear system control, computational intelligence, and real-time dynamic system optimization. His work has supported new engineering solutions, informed emerging policies on intelligent automation, and inspired further exploration into hybrid AI-control paradigms for next-generation autonomous systems. Driven by a deep commitment to scientific progress, his vision centers on integrating adaptive intelligence into complex engineering infrastructures to enhance efficiency, safety, and resilience across industries. He aims to bridge theoretical advancements with scalable real-world innovations, strengthening global research in intelligent control and enabling transformative technologies that benefit society through smarter automation, precision medical systems, and sustainable intelligent engineering solutions.

Profiles: Google Scholar | ORCID | Scopus | Linkedin | ResearchGate 

Featured Publications

1. Zouari, F., Ibeas, A., Boulkroune, A., Cao, J., & Arefi, M. M. (2018). Adaptive neural output-feedback control for nonstrict-feedback time-delay fractional-order systems with output constraints and actuator nonlinearities. Neural Networks, 105, 256–276.

2. Boubellouta, A., Zouari, F., & Boulkroune, A. (2019). Intelligent fuzzy controller for chaos synchronization of uncertain fractional-order chaotic systems with input nonlinearities. International Journal of General Systems, 48(3), 211–234.

3. Zouari, F., Ibeas, A., Boulkroune, A., Cao, J., & Arefi, M. M. (2021). Neural network controller design for fractional-order systems with input nonlinearities and asymmetric time-varying pseudo-state constraints. Chaos, Solitons & Fractals, 144, 110742.

4. Zouari, F., Boulkroune, A., & Ibeas, A. (2017). Neural adaptive quantized output-feedback control-based synchronization of uncertain time-delay incommensurate fractional-order chaotic systems with input nonlinearities. Neurocomputing, 237, 200–225.

5. Zouari, F., Ibeas, A., Boulkroune, A., Cao, J., & Arefi, M. M. (2019). Neuro-adaptive tracking control of non-integer order systems with input nonlinearities and time-varying output constraints. Information Sciences, 485, 170–199.

Samuel Awe | Material Engineering | Editorial Board Member

Published on by Global Scholar Awards

Dr. Samuel Awe | Material Engineering | Editorial Board Member

Research Manager | Automotive Components Floby AB | Sweden

Dr. Samuel A. Awe is a distinguished researcher specializing in metal casting technology, corrosion prevention, thermomechanical modelling, and advanced coatings, with a strong focus on process optimization and material enhancement for industrial applications. His research primarily centers on hydrometallurgical and electrometallurgical processes, solidification behavior in complex alloys, and innovative surface engineering solutions for automotive components, while emerging interests include sustainable extraction methods, environmentally responsible metallurgy, and performance-driven coating technologies. Over his career, Dr. Awe has held impactful roles in both academia and industry, including significant research and development responsibilities at Automotive Components Floby AB in Sweden, where he contributed to material innovation for high-performance automotive systems. He has produced a notable body of work on antimony recovery, alkaline sulphide hydrometallurgy, solidification microstructures, and Fe-based coating technologies, establishing himself as an authority on the processing behavior of complex sulfide minerals and alloy systems. Among his major contributions are optimized flowsheets for antimony extraction, detailed dissolution kinetics models for tetrahedrite minerals, advancements in electrowinning of antimony, and influential studies on sulphur oxyanion formation affecting non-ferrous metallurgy processes. His work has also driven progress in the development of high-temperature Al-Cu-Si alloy systems, grey cast-iron brake disc coatings, and microstructure-wear correlations in high-velocity air-fuel (HVAF) deposited coatings. Dr. Awe’s research has generated widely cited publications, practical industrial insights, and methodology improvements that support safer, cleaner, and more efficient metal extraction techniques. His modelling of impurity removal, contributions to flotation chemistry, and extensive characterization of thermomechanical behavior in engineered alloys continue to inform both metallurgical science and industrial decision-making. Through these advances, he has strengthened pathways for improving resource efficiency, minimizing environmental impact, and elevating material performance in demanding engineering environments. Guided by a clear vision for global impact, Dr. Awe aims to advance sustainable metallurgical innovation, enhance industrial materials’ reliability, and support technologies that contribute to responsible resource utilization. His work bridges fundamental research and real-world application, ensuring that scientific progress translates into societal benefit, industrial competitiveness, and long-term innovation across the materials and manufacturing sectors.

Profile: Google Scholar

Featured Publications 

1. Awe, S. A., & Sandström, Å. (2010). Selective leaching of arsenic and antimony from a tetrahedrite-rich complex sulphide concentrate using alkaline sulphide solution. Minerals Engineering, 23(15), 1227–1236.

2. Awe, S. A., Jan-Eric, S., Nils-Johan, B., & Åke, S. (2013). Process flowsheet development for recovering antimony from Sb-bearing copper concentrates. Minerals Engineering, 49, 45–53.

3. Awe, S. A., Samuelsson, C., & Sandström, Å. (2010). Dissolution kinetics of tetrahedrite mineral in alkaline sulphide media. Hydrometallurgy, 103(1–4), 167–172.

4. Aranke, O., Algenaid, W., Awe, S., & Joshi, S. (2019). Coatings for automotive gray cast iron brake discs: A review. Coatings, 9(9), 27.

5. Awe, S. A., Seifeddine, S., Jarfors, A. E. W., Lee, Y. C., & Dahle, A. K. (2016). Development of new Al–Cu–Si alloys for high temperature performance. Advanced Materials Letters.