Muhammad Kamran Shereen | Electrical Engineering | Best Researcher Award

Dr. Muhammad Kamran Shereen | Electrical Engineering | Best Researcher Award

Dr. Muhammad Kamran Shereen | Electrical Engineering – Postdoctoral Fellow at Southern University of Science and Technology, China

Dr. Muhammad Kamran Shereen is an innovative postdoctoral fellow in electrical engineering with a deep focus on metasurface antenna design empowered by artificial intelligence. Currently based at a prestigious research institution in China, he specializes in integrating deep learning with microwave systems for next-generation 5G and 6G technologies. His career reflects a dynamic blend of academic excellence, technical innovation, and global research engagement, positioning him as a rising leader in intelligent communication systems.

professional profile:

ORCID

Scopus

Google Scholar

🎓Education:

Dr. Shereen earned his Ph.D. in Electrical Engineering from a leading university in Pakistan, where his research pioneered hybrid reconfigurability structures for patch antennas in 5G networks. He also holds an M.Sc. and B.Sc. in Electrical Engineering and an additional Master’s degree in Project Management. These qualifications have equipped him with a strong multidisciplinary background in both technical engineering and strategic project execution, providing a solid foundation for high-impact research.

🧑‍🏫Experience:

Dr. Shereen has accumulated over eight years of academic and research experience, including roles as Assistant Professor, Lecturer, and Laboratory Engineer. His expertise spans curriculum design, outcome-based education, antenna simulation, and student mentorship at undergraduate and graduate levels. As a postdoctoral fellow, he continues to lead innovation in smart antenna systems, support grant writing, and collaborate with global scholars. He is also an approved PhD supervisor, demonstrating academic maturity and leadership.

🔬Research Interest:

His research interests lie at the intersection of microwave engineering, deep learning, and intelligent antenna systems. He is passionate about designing adaptive antennas using AI algorithms like neural networks and support vector machines to optimize gain, bandwidth, and reconfigurability. His ongoing projects explore the role of machine learning in advancing antenna performance for wireless networks, particularly for applications in mmWave, 5G, and the emerging 6G technologies.

🏅Award:

Dr. Shereen was honored with the Best Outreach Program Chapter Recognition Award (2024) for his initiative in founding a professional energy engineering chapter at his university. He has also been selected as a distinguished delegate and speaker at premier global forums, including the Future Leaders Congress 2024, World Youth Leadership Conference 2025, and Young Economic Forum 2025. These accolades highlight his commitment to research diplomacy, sustainability, and leadership development on an international scale.

📚 Publications:

📡 2022 – A Review of Achieving Frequency Reconfiguration through Switching in Microstrip Patch Antennas for Future 5G Applications, Alexandria Engineering Journal, cited by 71.
📘 2019 – A Brief Review of Frequency, Radiation Pattern, Polarization, and Compound Reconfigurable Antennas for 5G Applications, Journal of Computational Electronics, cited by 60.
🛰️ 2020 – A Frequency and Radiation Pattern Combo-Reconfigurable Novel Antenna for 5G Applications and Beyond, Electronics, cited by 33.
📶 2018 – Millimeter Wave Frequency Reconfigurable Antenna for 5G WLAN, IEEE INMIC Conference, cited by 19.
🔄 2022 – A Hybrid Reconfigurability Structure for a Novel 5G Monopole Antenna for Future Mobile Communications at 28/38 GHz, Arabian Journal for Science and Engineering, cited by 15.
🤖 2024 – Intelligent Frequency, Radiation Pattern and Polarization Reconfigurable Antenna for 5G Applications, Journal of Electrical Engineering & Technology, cited by 8.
🧠 2025 – Innovations in Metamaterial and Metasurface Antenna Design: The Role of Deep Learning, Materials Today Electronics, newly published, citation data pending.

Conclusion:

Dr. Muhammad Kamran Shereen exemplifies the spirit of the Best Researcher Award through his impactful contributions in antenna engineering and intelligent system integration. His ability to fuse deep technical skills with forward-thinking research makes him a vital contributor to future communication technologies. Through global engagements, high-quality publications, and research mentorship, he continues to influence both academic communities and the broader engineering ecosystem. Recognizing Dr. Shereen with this award would celebrate not only his past achievements but also the promise of a future filled with innovation, leadership, and global collaboration.

 

 

 

Mr. Mehdi Ahmadi | Energy Systems | Best Researcher Award

Mr. Mehdi Ahmadi | Energy Systems | Best Researcher Award

Mr. Mehdi Ahmadi | Energy Systems – PhD Student at Universtiy of Paderborn, Germany

Mehdi Ahmadi is a driven and impactful researcher currently pursuing a Ph.D. in Electrical Engineering with a focus on Energy System Technologies at Paderborn University, Germany. With a career that blends academic excellence, hands-on engineering experience, and a passion for resilience and sustainability in modern power systems, Mehdi exemplifies the qualities of an emerging leader in energy research. His work bridges theoretical innovation with applied problem-solving in critical areas such as smart grids, power system optimization, and cyber-resilience in energy infrastructures. Through collaborative research initiatives, technical mastery, and active academic contributions, he is steadily establishing a strong academic identity and a growing influence in the global energy community.

Profile:

Orcid

Education:

Mehdi’s academic journey began with a Bachelor of Science in Electrical Engineering from the University of Tehran, where he developed a foundational understanding of electrical machines and systems. He then earned a Master of Science in Power Systems Engineering from Sharif University of Technology, focusing his thesis on strategies to enhance the resilience of electrical distribution networks against natural disasters. His graduate studies laid the groundwork for a specialized research trajectory in infrastructure hardening and distribution system optimization. Currently undertaking his doctoral studies at Paderborn University, Mehdi is deepening his expertise in energy systems modeling and renewable integration, guided by interdisciplinary research and international mentorship.

Experience:

Throughout his academic progression, Mehdi has undertaken various research assistantships that reflect both his depth of knowledge and his adaptability in high-stakes engineering environments. At Sharif University of Technology, he worked on a cyber-physical systems project aimed at identifying vulnerabilities in electric vehicle charging infrastructures, where he developed and tested optimization models to enhance grid resilience. In Germany, his current role at Paderborn University involves modeling and optimizing distribution networks and high-performance computing (HPC) data centers to improve energy efficiency and curtail renewable energy losses. He has also contributed to battery design for electric vehicles and implemented non-intrusive load monitoring systems during his undergraduate studies, revealing a consistent pattern of practical engagement and forward-thinking engineering.

Research Interests:

Mehdi’s research spans across a wide spectrum of electrical and energy systems engineering. His core interests include smart grids and renewable energy integration, distribution system optimization, data center energy management, and the application of machine learning in power systems. He is particularly intrigued by the resilience of electrical infrastructure in the face of natural and cyber-induced disturbances, a theme that echoes throughout his academic and applied work. His interdisciplinary approach combines power engineering principles with advanced computational tools to deliver reliable, efficient, and intelligent energy solutions for the future.

Awards:

Mehdi has been consistently recognized for his academic capabilities and potential. As an undergraduate, he was awarded a prestigious scholarship for exceptional talent from the Faculty of Engineering. He also ranked among the top 0.15% of over 21,000 candidates in Iran’s national graduate entrance examination in electrical engineering, a testament to his commitment and scholarly excellence. Additionally, his work has received support from Iran’s National Elites Foundation for its innovation in electric vehicle battery design, further validating the impact and quality of his contributions.

Publications 📚:

Mehdi has contributed to a range of scholarly works that demonstrate both depth and diversity in his research.
🔹 “Detection of Cyber Attacks to Mitigate Their Impacts on the Manipulated EV Charging Prices”, IEEE Transactions on Transportation Electrification, 2024 — cited by 4 articles.

🔹 “Non-Intrusive Load Monitoring Based on Load Current and Load Power”, 8th Int’l Conf. on Smart Grids, Georgia, 2022 [in Persian] — cited by 2 articles.

🔹 “Application of Hardening Strategies and DG Placement to Improve Distribution Network Resilience against Earthquakes”, IEEE PES T&D LA, 2020 — cited by 5 articles.

🔹 “A Risk-based Load Management Framework in Smart Distribution Systems under Uncertainty”, under review (2023) — pending citation.

🔹 “Integration of Wind Energy into HPC Data Centers: A Curtailment Minimization Approach”, internal technical report, EST Department, 2023.

🔹 “Battery Pack Design and BMS for EVs: A Practical Case Study”, National Elites Foundation Report, 2019.

🔹 “Implementation of Load Classification Using Machine Learning in NILM Systems”, Final Project Report, University of Tehran, 2018.

Conclusion:

Mehdi Ahmadi’s academic portfolio, practical engagements, and focused research direction make him a compelling candidate for the Best Researcher Award. His ability to bridge theory and real-world application is evident in the depth of his work, which spans energy optimization, infrastructure resilience, and smart grid technology. As the world transitions toward cleaner and more resilient energy systems, researchers like Mehdi, with their vision, adaptability, and commitment to excellence, are invaluable. His trajectory shows not only promise but also an ongoing contribution to solving pressing global challenges in energy and power engineering. With continued mentorship, institutional support, and opportunities to broaden his global collaborations, Mehdi is poised to become a leading figure in the next generation of energy innovators.