Nizar Ben Ezzine | Energy | Editorial Board Member

Prof. Nizar Ben Ezzine | Energy | Editorial Board Member

Prof. Nizar Ben Ezzine | Energy | Professor at Carthage University | Tunisia

Prof. Nizar Ben Ezzine is an accomplished scholar in the field of energy engineering, widely recognized for his contributions to thermodynamics, solar cooling technologies, and absorption refrigeration systems, and he has established a strong academic and research identity through his advanced education culminating in a doctoral degree in energetics that laid the foundation for his expertise in thermal sciences and sustainable cooling systems. Throughout his professional journey, Prof. Nizar Ben Ezzine has served in reputable academic and research institutions where he has contributed extensively to teaching, mentoring, scientific collaborations, and the development of cutting-edge research initiatives in the areas of thermodynamic modelling, exergy analysis, and high-efficiency refrigeration cycles. His research interests include solar-driven absorption systems, ammonia–water thermodynamic mixtures, diffusion-absorption refrigeration cycles, sustainable thermal energy solutions, and performance optimisation of environmentally friendly cooling systems, which he explores using advanced numerical modelling, experimental investigations, and multi-parameter optimisation techniques. Prof. Nizar Ben Ezzine demonstrates strong research skills in computational modelling of thermal systems, experimental system testing, simulation of absorption chillers, development of solar-powered cooling technologies, and analytical techniques for evaluating irreversibilities in thermal cycles, supported by an extensive record of publications in Scopus-indexed and high-impact journals. His scholarly outputs include influential articles in journals such as Energy, Renewable Energy, the International Journal of Exergy, and the International Journal of Refrigeration, which collectively reflect his scientific depth and sustained impact. With hundreds of citations, an established h-index, and numerous international co-authorships, he has built a collaborative presence within the global energy research community and contributed to significant international research projects addressing sustainable cooling and thermodynamic optimisation challenges. Prof. Nizar Ben Ezzine has been acknowledged for his academic excellence through various research-based recognitions, invitations to scientific committees, and participation in specialized conferences that highlight his leadership within the thermal and renewable energy sectors. His work continues to influence the design and development of future cooling technologies, and his research trajectory demonstrates strong promise for further innovation in areas such as advanced solar cooling, next-generation refrigerant mixtures, and integrated renewable energy systems. In conclusion, Prof. Nizar Ben Ezzine stands as a leading figure whose scientific contributions, professional experience, collaborative engagements, and commitment to sustainability continue to shape advancements in the global field of energy engineering.

Academic Profile: Google Scholar

Featured Publications:

  1. Ezzine, N. B., Garma, R., & Bellagi, A. (2010). A numerical investigation of a diffusion-absorption refrigeration cycle based on R124-DMAC mixture for solar cooling. Energy, 35(5), 1874–1883. Citations: 108

  2. Ezzine, N. B., Garma, R., Bourouis, M., & Bellagi, A. (2010). Experimental studies on bubble pump operated diffusion absorption machine based on light hydrocarbons for solar cooling. Renewable Energy, 35(2), 464–470. Citations: 83

  3. Ezzine, N. B., Barhoumi, M., Mejbri, K., Chemkhi, S., & Bellagi, A. (2004). Solar cooling with the absorption principle: First and Second Law analysis of an ammonia–water double-generator absorption chiller. Desalination, 168, 137–144. Citations: 61

  4. Mejbri, K., Ezzine, N. B., Guizani, Y., & Bellagi, A. (2006). Discussion of the feasibility of the Einstein refrigeration cycle. International Journal of Refrigeration, 29(1), 60–70. Citations: 27

  5. Barhoumi, M., Snoussi, A., Ben Ezzine, N., Mejbri, K. H., & Bellagi, A. (2004). Modelling of the thermodynamic properties of the ammonia/water mixture. International Journal of Refrigeration, 27(3). Citations: 26

 

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.