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

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πŸŽ“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.

πŸ§‘β€πŸ«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.

πŸ”¬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.

πŸ…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.

πŸ“š Publications:

πŸ“‘ 2022 – A Review of Achieving Frequency Reconfiguration through Switching in Microstrip Patch Antennas for Future 5G Applications, Alexandria Engineering Journal, cited by 71.
πŸ“˜ 2019 – A Brief Review of Frequency, Radiation Pattern, Polarization, and Compound Reconfigurable Antennas for 5G Applications, Journal of Computational Electronics, cited by 60.
πŸ›°οΈ 2020 – A Frequency and Radiation Pattern Combo-Reconfigurable Novel Antenna for 5G Applications and Beyond, Electronics, cited by 33.
πŸ“Ά 2018 – Millimeter Wave Frequency Reconfigurable Antenna for 5G WLAN, IEEE INMIC Conference, cited by 19.
πŸ”„ 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.
πŸ€– 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.

βœ…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.

 

 

 

Assist. Prof. Dr. Bin Yang | Electric Engineering | Best Researcher Award

Assist. Prof. Dr. Bin Yang | Electric Engineering | Best Researcher Award

Assist. Prof. Dr. Bin Yang | Electric Engineering – Hebei University of Technology, China

Dr. Bin Yang is a dynamic and emerging academic in the field of power systems engineering. He has focused his professional journey on advancing research in fault detection, location, and restoration control in power distribution systems, especially those with high penetration of renewable energy. With a forward-thinking approach and a solid foundation in electrical engineering, Dr. Yang has actively contributed to both theoretical innovation and applied research. His strong technical knowledge, combined with an eye for real-world application, has made him a recognized name among early-career researchers working toward smarter, more resilient electric grids.

Profile:

Orcid

Education:

Dr. Yang completed his Ph.D. in Electrical Engineering from North China Electric Power University, Beijing, in 2023. His doctoral work laid the groundwork for much of his current research, focusing on the intersection of fault restoration techniques and the integration of inverter-based distributed energy resources. His academic journey has been shaped by rigorous training, analytical depth, and consistent academic excellence. His early exposure to critical challenges in power systems during his Ph.D. has positioned him to explore practical and scalable solutions for complex distribution network issues in the real world.

Experience:

Currently serving as an Assistant Professor at Hebei University of Technology, Dr. Yang is actively involved in both academic instruction and leading-edge research. His role combines teaching with mentoring undergraduate and postgraduate students, as well as executing nationally funded research projects. With hands-on experience managing complex simulations and control models of electrical systems, Dr. Yang continues to develop novel methods for improving fault detection and service restoration, particularly within distribution systems affected by the volatility of renewable sources. His leadership in independent and collaborative research positions him as a strong contributor to the academic and engineering communities.

Research Interest:

Dr. Yang’s research interests lie at the core of modern power systems, particularly in fault restoration control, sparse measurement-based fault location, adaptive reclosing methods, and the behavior of renewable energy sources during electrical faults. His work bridges the gap between data-driven analytics and classical system theory, leveraging sparse sensing, intelligent algorithms, and protection strategies that are essential for the future of decentralized grids. His studies frequently address pressing needs in grid reliability, protection design, and reconfiguration strategies that help utilities transition toward sustainable and smart energy systems.

Awards:

Though at an early stage of his academic career, Dr. Yang has already secured prestigious funding and recognition. He is the recipient of a grant from the National Natural Science Foundation of China (Grant No. 52407093), supporting his continued efforts in distribution system protection. He is also conducting research under the State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (Grant No. LAPS24019). These awards reflect national acknowledgment of his innovation and potential impact on critical power system challenges.

Publications:

Dr. Yang’s publication record demonstrates both depth and innovation in power system protection and control. His notable works include:

  • ⚑ Faulted Line-Section Identification in Distribution System with Inverter-Interfaced DGs Using Sparse Meters, IEEE Transactions on Smart Grid, 2023 β€” cited by 22+ articles for its contribution to sparse data modeling.
  • 🧠 Sparse Voltage Measurement-Based Fault Location Using Intelligent Electronic Devices, IEEE Transactions on Smart Grid, 2020 β€” cited over 150 times; a foundational work in fault location algorithms.
  • πŸ”Œ An Improved Sparse-Measurement Based Fault Location Technology for Distribution Networks, IEEE Transactions on Industrial Informatics, 2021 β€” referenced in renewable grid protection studies.
  • 🌱 Review on Renewable Energy Source Fault Characteristics Analysis, CSEE Journal of Power and Energy Systems, 2022 β€” highlighted for its survey-style insight on RES behaviors.
  • πŸ’‘ Transient Fault Current Analysis of IIRESs Considering Controller Saturation, IEEE Transactions on Smart Grid, 2022 β€” important for understanding inverter behavior during transients.
  • πŸ” Alternating Current Distribution Network with a Sparse Voltage Measurement-based Fault Location Determination System, US Patent, 2021 β€” supporting hardware-side implementation of theory.
  • πŸ”§ Adaptive Reclosing Method and Apparatus for Distribution Network, US Patent, 2024 β€” a recent innovation under practical deployment consideration.

Conclusion:

In conclusion, Dr. Bin Yang exemplifies the qualities of a high-impact early-career researcher. His research addresses some of the most critical challenges facing modern power systems, particularly in the integration and protection of renewable energy infrastructures. With a growing list of impactful publications, national-level research funding, and novel patents, Dr. Yang is paving the way for future innovations in grid automation, fault resilience, and intelligent system design. His ongoing work promises not only academic advancement but also tangible benefits for utility operations and sustainable energy infrastructure, making him an exceptional candidate for the Best Researcher Award.