Prof. Chunlei Guo | Energy Technologies | Best Researcher Award

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Prof. Chunlei Guo | Energy Technologies | Best Researcher Award

Prof. Chunlei Guo | Professor | University of Rochester | United States

Academic Background

Chunlei Guo received his undergraduate education in Optical Physics and Fine Mechanics at the Changchun Institute of Optics in China. He then pursued his Ph.D. in Physics at the University of Connecticut, followed by postdoctoral training in Materials Science at Los Alamos National Laboratory. He has established a strong foundation in laser physics, optics, and materials science, contributing to his recognition as a leading researcher in photonics. According to Scopus, his work includes over four hundred publications cited nearly ten thousand times, with an h-index indicating substantial influence in his field. His Google Scholar profile further reflects his widespread impact across laser material processing, femtosecond laser applications, and nanostructuring.

Research Focus

Guo’s research primarily focuses on femtosecond laser interactions with materials, including the creation of superhydrophobic surfaces and laser-induced nanostructures. His work integrates ultrafast laser techniques with material science, aiming to advance applications in energy, imaging, and nanotechnology. His studies emphasize precise control of surface properties and functionalization at the micro- and nanoscale.

Work Experience

Guo has held a variety of academic and research positions, starting as an Assistant Professor and later Associate Professor at the Institute of Optics at the University of Rochester. He is currently a Professor at the Institute of Optics and holds joint appointments in the Department of Physics and Astronomy and the Laboratory for Laser Energetics. He has also served as the founding director of the GPL Photonics Lab in China, further establishing his international research presence.

Key Contributions

Guo has made significant contributions to laser-induced surface structuring, development of superhydrophobic and superwicking surfaces, and femtosecond laser applications in imaging and material processing. His work has enabled new methods for nanostructuring metals, improving energy management, and advancing optical technologies. He has been widely recognized for developing techniques that combine laser precision with novel material functionalities.

Awards & Recognition

Guo’s research excellence has earned him multiple prestigious awards, including honors for innovation in defense and design, recognition by professional societies, and fellowships in the Optical Society of America, American Physical Society, and International Academy of Photonics and Laser Engineering.

Professional Roles & Memberships

He has served in numerous editorial and advisory roles, including Editor-in-Chief of the CRC Handbook of Laser Technology and Applications, associate editor for leading optics journals, and program committee membership for major international conferences. He has also chaired conferences and technical groups, contributing to shaping the field of laser science and engineering globally.

Publication Profile

Scopus | ORCID

Featured Publications

Guo, C., Vorobyev, A. Y., & Singh, S. C. (2023). Imaging Dynamics of Femtosecond Laser-Induced Surface Nanostructuring. In Ultrafast Laser Nanostructuring. Springer Series in Optical Sciences, 239, 355–375.

Guo, C., & Singh, S. C. (2021). CRC Handbook of Laser Technology and Applications. CRC Press.

Vorobyev, A. Y., & Guo, C. (2015). Superwicking Surfaces Produced by Femtosecond Laser. In Advanced Lasers, 193, 101–120.

Guo, C. (2016). Using femtosecond lasers to create new material properties. SPIE Newsroom.

Guo, C. (2010). Surface-plasmon-enhanced photoelectron emission. SPIE Newsroom.

Impact Statement / Vision

Guo envisions leveraging ultrafast laser technologies to design materials with unprecedented properties for industrial, environmental, and energy applications. His work continues to inspire innovations in nanofabrication, surface engineering, and photonics, bridging fundamental research and practical applications for global scientific advancement.

Takwa Hamdi | Energy Technologies | Best Researcher Award

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Ms. Takwa Hamdi | Energy Technologies | Best Researcher Award

PhD Candidate in Mechanical and Energy Engineering | University of Gabes | Tunisia

Ms. Takwa Hamdi is a dedicated PhD student in Mechanical and Energy Engineering at the National Engineering School of Gabes, Tunisia, specializing in advanced combustion modeling and alternative fuels. With a strong academic foundation, she has pursued her bachelor’s, master’s, and doctoral studies in mechanical engineering with excellence, graduating as class valedictorian during her master’s program. Her research focuses on dual-fuel engine combustion, particularly the use of light alcohols and hydrogen in internal combustion engines, employing advanced numerical simulation tools such as ANSYS Forte, Matlab, Abaqus, SolidWorks, and CFD-based approaches. Driven by a passion for sustainable energy solutions, she is motivated to contribute to the development of low-emission technologies that address global energy challenges. Alongside her research, Takwa serves as an Adjunct Lecturer at the Higher Institute of Technological Studies of Gabes, where she teaches courses in dismountable assembly processes, CAD using SolidWorks, welding, and mechanical design projects, combining theoretical knowledge with hands-on applications to support student learning. She has also gained experience in developing educational materials, supervising student projects, and guiding practical workshops, which highlights her strong communication and leadership skills. Fluent in Arabic, French, and English, she is able to collaborate effectively in international and multicultural environments. Beyond her academic and teaching career, she demonstrates strengths in analytical thinking, problem-solving, and research innovation, with interests in technology, cultural exploration, and community volunteering. Motivated, research-oriented, and passionate about innovation, Takwa aims to further her expertise by contributing to cutting-edge projects in energy, combustion, and sustainability through collaborative scientific research and internships.

Profile: Scopus | LinkedIn | ResearchGate

Featured Publications

Hamdi, T., Hamdi, F., Molima, S., Domínguez, V. M., Rodríguez-Fernández, J., Hernández, J. J., & Chrigui, M. (2025). Numerical investigation of hydrogen substitution ratio effects on spray characteristics, combustion behavior, and emissions in a dual-fuel compression ignition engine.

Molima, S., Hamdi, F., Hamdi, T., Muya, G. T., Mondo, K., Amsini, S., & Chrigui, M. (2025). Effects of H2 substitution on combustion and emissions in ammonia/diesel compression ignition engine. Energy Conversion and Management, Elsevier.

Hamdi, T., Hamdi, F., Molima, S., Hernandez, J. J., & Chrigui, M. (2025). Computational analysis on the effect of methanol energy ratio on the spray and combustion pattern of a dual-fuel compression ignition engine. Journal of Energy Resources Technology, ASME.

Ms. Yasmine Gaaloul | Photovoltaic systems | Best Researcher Award

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Ms. Yasmine Gaaloul | Photovoltaic systems | Best Researcher Award

PhD student, Higher School of Science and Technology Hammem Sousse, Tunisia

Yasmine Gaaloul is a passionate and innovative Ph.D. student in Physical Engineering, specializing in Energy, based in Sahloul, Sousse, Tunisia. With a sharp focus on advanced energy systems and renewable energy technologies, she brings a solid academic foundation combined with hands-on experience in photovoltaic system diagnostics and energy efficiency. Her academic journey reflects a strong dedication to contributing meaningful solutions in the field of sustainable energy using cutting-edge artificial intelligence techniques. 🌱⚡

Publication Profile

Scopus

Summary of Suitability for Best Researcher Award – Ms. Yasmine Gaaloul

Yasmine Gaaloul is a dedicated and innovative PhD student with a strong specialization in renewable energy systems, particularly in fault diagnosis of photovoltaic (PV) systems in DC microgrids using artificial intelligence (AI). Her research is highly relevant to current global challenges in energy sustainability and smart grid technology.

🎓 Education Background

Yasmine pursued her Bachelor’s Degree in Physics (2017–2020) and then earned a Research Master’s Degree in Physics with an Energy Track from Hammem Sousse Higher School of Science and Technology (2020–2022). She is currently enrolled in a Ph.D. program in Physical Engineering at the same institution, where her research focuses on fault diagnosis in photovoltaic (PV) systems using AI tools. Her academic path shows consistent advancement in renewable energy domains. 🎓🔬📚

💼 Professional Experience

Yasmine has built practical experience through internships and projects focused on energy audits, policy compliance, project management, and the design and implementation of energy systems. Notably, she undertook an application internship in Nuclear Medicine at the Tunisian Hospital-University Center in Sousse. She also possesses strong technical skills in simulation and programming tools such as MATLAB, PVsyst, and BAO EVOLUTION, which enhance her applied research capabilities. 🏥💻🔧

🏆 Awards and Honors

While no formal awards are listed, her work speaks volumes through peer-reviewed publications and technical skills in diagnosing photovoltaic faults using AI — a field of growing significance. Her continued progress and engagement in advanced renewable technologies position her as a competitive researcher with promising prospects. 🥇📈

🔬 Research Focus

Yasmine’s core research revolves around the fault detection and diagnosis of PV systems in DC microgrids using artificial intelligence. She also works on simulation and modeling of energy systems, including photovoltaic modules and converters. Her use of machine learning algorithms like Random Forest and KNN for predictive maintenance of PV systems reflects a modern and sustainable approach to energy reliability and performance optimization. Her work aligns with critical global goals for clean and efficient energy. ⚙️🔋🌞

✅ Conclusion 

Given her specialized research in photovoltaic systems and renewable energy using artificial intelligence, Yasmine Gaaloul is a strong candidate for the Research for Best Researcher Award. Her interdisciplinary approach, combining physical engineering with AI, positions her at the forefront of sustainable energy innovation. Her academic trajectory, technical prowess, and publication record demonstrate exceptional promise and dedication. 🏅🌍💡

📚 Top Publications with Notes

Faults Detection and Diagnosis of a Large-Scale PV System by Analyzing Power Losses and Electric Indicators Computed Using Random Forest and KNN-Based Prediction Models (2023)

This study explores hybrid AI techniques to enhance PV system monitoring. Cited by: X articles

Comparative Performance Analysis of Metaheuristic Optimization Algorithms for Parameter Identification of Photovoltaic Cell/Module (2023)

This comparative work evaluates algorithms for optimal PV module performance. Cited by: X articles

Modeling and Simulation of a Two-Phase Interleaved Boost Converter for Photovoltaic Applications (2022)

Focuses on the design of efficient converters for PV systems. Cited by: X articles

Emanuele Calabrò | Environmental Science | Best Researcher Award

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Dr. Emanuele Calabrò | Environmental Science | Best Researcher Award

Docente, MIUR (Ministero dell’Istruzione e del merito), Italy

Prof. Emanuele Calabrò, a distinguished physicist, currently serves as a Full Professor of Physics at the Technological Technical Institute of Messina “Verona-Trento” in Italy. With a career spanning over several decades, Prof. Calabrò has made significant contributions to various fields, including applied physics, experimental physics of matter, and biophysics. His expertise extends to areas such as electromagnetic fields pollution, biotechnology, solar energy, astronomy, and topography.

 

Profile

Google Scholar

Education 🎓

Prof. Emanuele Calabrò obtained his Bachelor’s degrees in Physics and Engineering from the University of Messina in Italy, with exceptional final evaluations. He further pursued post-graduate training courses and a Master’s degree in the General Theory of Physical Sciences from the University “G. Marconi” in Rome, Italy.

Experience 💼

Throughout his career, Prof. Calabrò has held various academic positions, including teaching assistantships and professorships at esteemed institutions such as the University of Messina and the Technical Technological Institute in Siena, Italy. His teaching and research endeavors have spanned topics ranging from electrotechnics to biomedical physics and electronic measurements.

Research Interests 🔬

Prof. Calabrò’s research interests encompass a diverse range of areas, including man-made electromagnetic fields pollution, biophysics, the use of resonant frequencies for cancer treatment, solar energy optimization, astronomy, and topography. His pioneering work explores the effects of electromagnetic fields on organic systems, the alignment of proteins under electromagnetic fields, and the application of photogrammetry in evaluating structural decay.

Awards 🏆

Prof. Emanuele Calabrò has been recognized for his exemplary contributions to academia and research. He was the winner of the “Award for Excellence in Research” in the Academic Brand Awards-18 and has received certificates of recognition for his services as a reviewer for Bentham Science Publishers. His dedication to advancing scientific knowledge and fostering innovation is commendable.

Publications 📚

Calabrò, E., & Mammano, A. (1992). Forbidden high excitation lines and TiO bands in the symbiotic system QW Sge. Astrophysics and Space Science, 197, 251-256.

Calabrò, E. (2009). Determining optimum tilt angles of photovoltaic panels at typical north tropical latitudes. Journal of Renewable and Sustainable Energy, 1, 033104.

Calabrò, E., & Magazù, S. (2010). Monitoring Electromagnetic Field Emitted by High Frequencies Home Utilities. Journal of Electromagnetic Analysis & Applications, 2(9), 571-579.

Calabrò, E., & Magazù, S. (2018). Resonant interaction between electromagnetic fields and proteins: A possible starting point for the treatment of cancer. Electromagnetic Biology and Medicine, 37(3), 155-168.