Shafquat Hussain | Mathematical Modeling | Best Researcher Award

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Dr. Shafquat Hussain | Mathematical Modeling | Best Researcher Award

Ph.D Student at University of Genova, Italy

Shafquat Hussain 🎓 is a dynamic and forward-looking researcher in Power Electronics, Power Systems, and Control Systems ⚡. Currently pursuing his Ph.D. at the University of Genova 🇮🇹, he specializes in cutting-edge control techniques like FCS-MPC, IDA-PBC, PI, and Model-Free Control 🔧. With a strong foundation from Mehran University 🇵🇰, he has contributed significantly through hands-on experience in FPGA-based controller design and multilevel converters. Shafquat’s research spans innovative inverter technologies, UPS control strategies, and hybrid electric systems 🚗🔋. His scholarly work is published in reputed journals like Energies and IEEE 🧠📚. Technically proficient in MATLAB, Typhoon HIL, and FPGA co-simulations, he demonstrates a robust ability to model, simulate, and implement real-world power conversion solutions. Passionate about sustainable energy and intelligent control, he continues to develop practical and impactful solutions 🔋🌍. Shafquat exemplifies the spirit of innovation and academic excellence, making him a promising candidate for top-tier research recognition 🏅.

Professional Profile

 Scopus Profile

Education 🎓📘

Shafquat Hussain has pursued a richly layered academic journey rooted in electrical engineering and powered by passion ⚡. He earned his Bachelor’s and Master’s degrees from Mehran University of Engineering and Technology, Pakistan 🇵🇰, with specialization in Electrical Power, securing top-tier grades and excelling in advanced power electronics. During his Master’s, he ventured into FPGA design and real-time simulations, developing innovative PID controllers for buck converters using Xilinx System Generator. He is currently a Ph.D. scholar at the University of Genova, Italy 🇮🇹, working in PETRA LAB, diving deep into advanced control strategies such as FCS-MPC, IDA-PBC, PI, and Model-Free Control for Voltage Source Inverters and multilevel converters like FCC, NPC, and multiplexed topologies. His academic background reflects a strong blend of theory, simulation, and hardware experimentation 🧠💡. Shafquat’s educational profile showcases a continuous ascent toward excellence and innovation in energy systems and power control 🔋.

Professional Experience 💼🔧

Shafquat brings a wealth of hands-on teaching and research experience to the table. As a Lecturer at Indus University, Pakistan 🇵🇰 (2018–2022), he honed his expertise in power converter design and experimental hardware setups 🔬. His role extended beyond classroom instruction—he actively engaged students in practical labs, mentored final-year projects, and innovated in controller design for power electronics. His lab proficiency spans DC-DC converters, FPGA integration, and the use of MATLAB Simulink for advanced simulations 📊. Now, as a Ph.D. researcher at the University of Genova 🇮🇹, he collaborates with leading scholars in Europe, working on real-time implementations using TI C2000 and FPGA boards, exploring novel controller topologies like PR controllers, IDA-PBC, and Model-Free Controllers. His transition from educator to cutting-edge researcher underscores his multi-dimensional professional journey. Shafquat’s experience bridges academic theory and real-world application seamlessly, enhancing his profile as a leader in the evolving energy technology sector 🔌🌍.

Research Interest 🧪🔋

Shafquat Hussain’s research compass points firmly toward Power Electronics, Control Systems, and Sustainable Energy Conversion 🌱. He is passionate about developing smarter, faster, and more efficient control techniques for power converters and inverters—particularly those utilized in UPS systems, electric vehicles, and renewable energy setups ☀️🚗. His expertise includes Finite Control Set Model Predictive Control (FCS-MPC), Passivity-Based Control (IDA-PBC), and Model-Free Controllers, with application across multilevel inverters, Z-source inverters, and hybrid power systems 🔄. Shafquat also focuses on integrating FPGA hardware co-simulations and digital controllers like PR control into practical energy systems, leveraging tools like MATLAB, Typhoon HIL, and Qspice. His research not only contributes to academic literature but also to real-world implementations of resilient, high-performance power infrastructure 💡🏭. By exploring intersections of control theory, simulation, and hardware design, Shafquat aims to push the frontiers of future-proof power system solutions 🌐⚡.

Awards and Honors 🏅📜

While Shafquat’s formal accolades are still in development, his trajectory is rich with academic achievements and scholarly milestones that highlight his upward momentum 🌟. His Master’s thesis received recognition for its innovative use of FPGA to design PID and fuzzy logic controllers for DC-DC converters—an achievement that laid the groundwork for future publications 📘. He has authored and co-authored multiple peer-reviewed articles in reputed journals like Energies (MDPI) and IEEE conferences, showcasing novel control comparisons and power conversion strategies 🧠📑. He has also earned certificates from prestigious Coursera courses, covering Power Electronics, Converter Control, and Magnetics for PE 🖥️. These accolades underscore his commitment to continuous learning and expertise enhancement. While he awaits high-profile awards, Shafquat’s consistent record of research productivity, innovation, and impactful solutions speaks volumes. He is undoubtedly on the path to earning prestigious research awards in power electronics and intelligent control 🌍🏆.

Conclusion 🎯📈

Shafquat Hussain is a rising innovator in the domains of Power Electronics and Control Systems—driven by passion, precision, and persistence 🔍⚙️. From his early academic foundations in Pakistan to his current research at the University of Genova, Italy, he has demonstrated unwavering dedication to crafting intelligent solutions for real-world energy challenges 🌐🔋. With a portfolio brimming with practical projects, simulations, and high-impact publications, he embodies the qualities of a next-generation scholar. Shafquat’s skills in MATLAB, FPGA, Typhoon HIL, and predictive control techniques make him a versatile and future-ready researcher 🌟. His vision to optimize inverter technologies and controller dynamics aligns with the global call for smarter energy systems. As he continues advancing the field through innovation and collaborative research, he proves to be a compelling candidate for recognition as a Best Researcher 🥇. Shafquat’s journey is only beginning—and the best is yet to come 🚀📚.

Publications Top Notes

📗 Comparative Study of Passivity, Model Predictive, and Passivity-Based Model Predictive Controllers in Uninterruptible Power Supply Applications

  • 👨‍🔬 Authors: Hussain, S.; Bakeer, A.; Mohamed, I.S.; Marchesoni, M.; Vaccaro, L.

  • 📅 Year: 2023

  • 📖 Citation: Energies, 16, 5594

  • 🔗 Source: DOI: 10.3390/en16155594

  • 📚 Focus: Evaluation of advanced control strategies for UPS performance optimization 🔌🔍.

📘 Efficiency Performance of 7-Level Multiplexed and 3-Level Neutral Point Clamped (NPC) Converters

  • 👨‍🔬 Authors: Hussain, S.; Cosso, S.; Passalacqua, M.; Vaccaro, L.R.; Formentini, A.; Marchesoni, M.

  • 📅 Year: 2025

  • 📖 Citation: Energies, 18, 2161

  • 🔗 Source: DOI: 10.3390/en18092161

  • 📚 Focus: Comparative efficiency assessment of high-level inverter topologies in power systems ⚡🔋.

📘 Simulative Analysis of Power Conversion System for Hybrid Electric Vehicles Based on Dual Input Sources Including Charging from Solar Panel

  • 👨‍🔬 Authors: Hussain, S. et al.

  • 📅 Year: 2020

  • 📖 Citation: Pakistan Journal of Engineering & Technology, 3(3), 14–19

  • 🔗 Source: Published in Pakistan J Engg & Tech

  • 📚 Focus: Solar-assisted dual input system modeling for electric vehicle energy management 🚗☀️.

📙 Comparative Analysis of PID and Fuzzy Logic Controller for Buck Converter (Master’s Thesis)

  • 👨‍🔬 Authors: Shafquat Hussain Bhellar, Zubair Ahmed Memon, Tayab Din Memon, Yasir Bhutto, Abdul Majeed

  • 📅 Year: 2018

  • 📖 Citation: ESTIRJ, March Issue

  • 🔗 Source: ESTIRJ

  • 📚 Focus: Intelligent vs. classical control method study in DC-DC buck converters 🤖📉.

📕 Power Quality Improvement in Power System Network using Unified Power Flow Controller

  • 👨‍🔬 Authors: Abdul Majeed Khaskheli, Mukhtiar Ahmed Mahar, Abdul Sattar Larki, Shafquat Hussain Bhellar

  • 📅 Year: 2018

  • 📖 Citation: IEEE Conference Publication

  • 🔗 Source: IEEE Xplore

  • 📚 Focus: Implementation of UPFC for enhancing network reliability and voltage quality 🌐⚙️.

📘 Analysis of Photovoltaic System at Various Sites of Pakistan Using Retscreen Software

  • 👨‍🔬 Authors: Yasir Ali Bhutto, Mukhtiar Ahmed Mahar, Abdul Sattar Larik, Shafquat Hussain Bhellar, Assadullah Khuhawar

  • 📅 Year: 2018

  • 📖 Citation: ESTIRJ, 2018

  • 🔗 Source: ESTIRJ

  • 📚 Focus: RETScreen-based feasibility studies of solar power deployment across Pakistan 🛰️📍.

📙 Unified Power Flow Controller Application for Power Quality Improvement in Power System Network

  • 👨‍🔬 Authors: Same contributors as prior UPFC study

  • 📅 Year: Possibly 2018

  • 📖 Citation: Likely a restructured or complementary work from IEEE

  • 📚 Focus: Reinforces practical implications of UPFC in grid enhancement scenarios ⚡🛠️.

📒 Analysis of Efficient FPGA-Based PID Controller for DC-DC Buck Boost Converter Using Hardware Co-Simulation Setup

  • 👨‍🔬 Authors: Shafquat Hussain et al.

  • 📅 Year: Not specified

  • 📖 Citation: Published in Sukkur IBA Journal

  • 🔗 Source: Sukkur IBA University

  • 📚 Focus: Real-time implementation of PID via FPGA in converter circuits using hardware simulation 🧩⚙️.

 

Mohamed Etarhouni | Mathematical Modeling | Best Researcher Award

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Dr. Mohamed Etarhouni | Mathematical Modeling | Best Researcher Award

Electrical Engineering Lecturer at Liverpool John Moores University, United Kingdom

Dr. Mohamed Etarhouni is an accomplished lecturer and researcher in Electrical and Electronic Engineering 🌍. With a PhD specializing in renewable energy systems, his innovative work on optimizing solar PV systems 🏞️ has been published in top journals like IEEE and Elsevier. Boasting over 8 years of teaching experience 📚, he excels in integrating modern tools such as MATLAB-Simulink, Proteus, and Mobius to create engaging, hybrid learning environments. His passion for student development is evident through his commitment to inclusive education and ongoing professional growth, including a PGCert in Teaching in Higher Education 🎓. Dr. Etarhouni’s contributions extend beyond teaching, as he actively participates in academic conferences, peer reviewing, and fostering interdisciplinary research. Recognized for his exceptional teaching and scholarly achievements 🏆, he is a forward-thinking academic whose work bridges the gap between theory and practical solutions in the rapidly evolving field of renewable energy.

Professional Profile

Scopus Profile
ORCID Profile

Education 🎓

Dr. Mohamed Etarhouni’s educational journey showcases a blend of academic excellence and practical application. He earned his PhD in Electrical and Electronic Engineering from the University of Leeds, where he focused on developing advanced techniques for maximizing power extraction from solar photovoltaic (PV) systems, particularly under partial shading conditions 🌞. In addition, he holds an MSc in Electrical Engineering & Renewable Energy Systems with distinction from the University of Leeds, where he demonstrated outstanding performance in his field. Currently, he is further advancing his teaching expertise by pursuing a PGCert in Teaching in Higher Education at Keele University, continuing his passion for educational innovation 📚. His strong educational foundation enables him to deliver effective and forward-thinking teaching strategies while also contributing to research and technology development in renewable energy.

Professional Experience 💼

Dr. Etarhouni brings over 8 years of experience in academia, having taught at respected institutions such as Liverpool John Moores University, Teesside University, and the Open University. He has designed and delivered courses in a variety of areas, including electronics, power electronics, embedded systems, and electrical circuits ⚡. Dr. Etarhouni integrates cutting-edge technologies like Canvas, MATLAB-Simulink, and Mobius to enhance the learning experience for students, ensuring they acquire the practical skills needed in the rapidly evolving field of electrical engineering. His expertise is not limited to teaching; he has supervised both undergraduate and postgraduate students, guiding them through research projects that bridge theory and real-world applications. Dr. Etarhouni’s collaborative research with the University of Leeds in power electronics and renewable energy continues to fuel his passion for both education and sustainable technology 🌍.

Research Interest 🔬

Dr. Etarhouni’s primary research interest lies in optimizing renewable energy systems, specifically solar power technologies. His work on improving the performance of solar PV systems through advanced optimization techniques—particularly in partial shading scenarios—has set him apart in his field. He has pioneered innovations such as Series-Parallel Differential Power Processing (SP-DPP) converters and fuzzy logic-based control systems, all designed to maximize energy extraction from solar arrays 🌞. His research also delves into the integration of renewable energy systems with power electronics, aiming to improve overall system efficiency and reliability. His work in this area has been published in prominent journals, and he continues to explore new configurations to enhance the practicality and scalability of renewable energy solutions, contributing significantly to the global push toward sustainable energy sources 🌱.

Awards and Honors 🏅

Dr. Etarhouni’s dedication to both research and teaching has earned him numerous accolades. He was awarded the Best Paper Award at the IEEE Renewable Energy Congress for his groundbreaking work on solar PV technologies, and his teaching excellence has been recognized with multiple Teaching Recognition Certificates from Liverpool John Moores University 🏆. His contributions to higher education and research were further acknowledged when he received an Exemplar Recognition from Keele University for his innovative approaches to teaching. As a Fellow of the Higher Education Academy (FHEA), Dr. Etarhouni demonstrates a strong commitment to maintaining high teaching standards. His active role as a session chair and peer reviewer at international conferences highlights his prominent position within the academic community, and his continuous professional development reflects his dedication to furthering his expertise in both pedagogy and engineering 🌟.

Conclusion 🌟

Dr. Mohamed Etarhouni stands out as an academic and researcher whose work consistently bridges the gap between cutting-edge renewable energy solutions and effective teaching methodologies. His contributions to optimizing solar energy systems are setting new standards in the field of renewable energy, while his dedication to education is fostering the growth of future engineers. As a published researcher and award-winning educator, Dr. Etarhouni’s innovative approach to both teaching and research continues to influence the academic and engineering communities. With his ongoing commitment to professional development and research, Dr. Etarhouni is poised to remain a key figure in advancing sustainable energy solutions and educational excellence 🌍⚡.

Publications Top Notes

🌞 Design of Novel Differential Power Processing Scheme for Small-Scale PV Array Application Operating Under Partial Shading Conditions

Authors: Mohamed Etarhouni, Hiroshan Puvanendra Moorthy, Benjamin Chong
Year: 2024
Source: Computers and Electrical Engineering
DOI: 10.1016/j.compeleceng.2024.109254
This paper discusses a novel power processing scheme 🛠️ designed for small-scale photovoltaic (PV) arrays under partial shading conditions 🌥️, which are common in solar energy systems. The scheme aims to maximize the output power and enhance system efficiency by addressing shading effects.

⚡ Control of Cascaded PV-Ćuk Converter Modules by Particle Swarm Optimization Under Partial Shading Conditions

Authors: Mohamed Etarhouni, Benjamin Chong
Year: 2023
Source: World Congress on Electrical Engineering and Computer Systems and Science
DOI: 10.11159/eee23.107
This study explores the optimization 🔧 of Cascaded PV-Ćuk converters using particle swarm optimization 🐝, particularly under partial shading 🌑 conditions. It introduces an innovative control strategy to improve the performance of photovoltaic systems during shaded conditions.

🌞 A Combined Scheme for Maximising the Output Power of a Photovoltaic Array Under Partial Shading Conditions

Authors: Mohamed Etarhouni
Year: 2022
Source: Sustainable Energy Technologies and Assessments
DOI: 10.1016/j.seta.2021.101878
The article presents a combined scheme 🛠️ designed to maximize output power from a photovoltaic array under partial shading 🌤️ conditions. This method enhances the power extraction capabilities of PV systems, addressing common challenges in solar energy applications.

🌅 A Novel Square Algorithm for Maximising the Output Power from a Partially Shaded Photovoltaic Array System

Authors: Mohamed Etarhouni
Year: 2022
Source: Optik
DOI: 10.1016/j.ijleo.2022.168870
This paper introduces a novel square algorithm 💡 for optimizing power output from partially shaded photovoltaic systems. It aims to mitigate the effects of shading 🌒 on solar energy production, improving overall system efficiency 🌞.

🔋 Series-Parallel Differential Power Processing Scheme for Maximised Power Extraction from Mismatched Photovoltaic Panels

Authors: Mohamed Etarhouni
Year: 2020
Source: 10th International Conference on Power Electronics, Machines and Drives (PEMD)
This conference paper presents a series-parallel differential power processing scheme 🔋 to maximize power extraction from mismatched PV panels under varying conditions. The innovative scheme improves solar energy generation efficiency despite mismatch between panels.

🌞 Optimal Design of Series-Parallel Differential Power Processing Converters for Photovoltaic Array Energy Systems

Authors: Mohamed Etarhouni
Year: 2020
Source: 37th European Photovoltaic Solar Energy Conference and Exhibition
This work focuses on the optimal design 🛠️ of series-parallel differential power processing converters aimed at improving energy efficiency in solar power systems. The design optimizes power management in photovoltaic arrays, reducing energy loss due to shading or mismatch.

⚡ Review of PV Array Interconnection Schemes for Maximum Power Operation Under Partial Shading

Authors: Mohamed Etarhouni
Year: 2019
Source: 36th European Photovoltaic Solar Energy Conference and Exhibition
DOI: 10.4229/EUPVSEC20192019-5BO.5.6
This paper offers a comprehensive review 📚 of various PV array interconnection schemes designed to ensure maximum power output under partial shading conditions. It evaluates techniques for overcoming common solar energy challenges related to shading and array configuration.

🌅 A PV Array Reconfiguration Algorithm for Minimising Partial Shading Effects

Authors: Mohamed Etarhouni
Year: 2019
Source: 2019 10th International Renewable Energy Congress (IREC)
DOI: 10.1109/irec.2019.8754602
The paper introduces a reconfiguration algorithm 🔄 for photovoltaic arrays, aimed at minimizing the effects of partial shading 🌦️. The algorithm focuses on optimal array configuration, boosting power extraction by reducing the impact of shading on solar panels.