Ehsan Adibnia | Engineering | Best Academic Researcher Award

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Dr. Ehsan Adibnia | Engineering | Best Academic Researcher Award

Dr. Ehsan Adibnia at University of Sistan and Baluchestan, Iran

Dr. Ehsan Adibnia 🎓 is a dedicated academic researcher in electrical engineering ⚡, specializing in cutting-edge fields such as artificial intelligence 🤖, machine learning 📊, deep learning 🧠, nanophotonics 💡, optics 🔬, and plasmonics ✨. He is proficient in Python 🐍, MATLAB 🧮, and Visual Basic, and utilizes simulation tools like Lumerical 📈, COMSOL 🧪, and RSoft 🔧 to drive innovative research. Fluent in English 🇬🇧 and Persian 🇮🇷, Dr. Adibnia contributes to academic conferences and peer-reviewed journals 📚. He is currently pursuing his Ph.D. and actively engaged in interdisciplinary scientific exploration 🌐.

Professional Profile:

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🔹 Education & Experience 

🎓 Ph.D. in Electrical Engineering – University of Sistan and Baluchestan, Zahedan, Iran (Expected 2025)
🎓 B.S. in Electrical Engineering – University of Sistan and Baluchestan, Zahedan, Iran (2014)
🧑‍💼 Executive Committee Member – 27th Iranian Conference on Optics and Photonics & 13th Conference on Photonic Engineering and Technology
🖋️ Assistant Editor – International Journal (Name not specified)
🔍 Researcher – Actively engaged in interdisciplinary AI & photonics research projects

🔹 Professional Development 

Dr. Ehsan Adibnia continually enhances his professional growth through active participation in conferences 🧑‍🏫, committee leadership 🗂️, and editorial work 📑. He develops algorithms and conducts simulations using advanced tools such as Lumerical 🔬, COMSOL 🧪, and RSoft 💻. His expertise in AI and photonics drives innovative research and collaboration 🌍. He also hones his programming skills in MATLAB 🧮, Python 🐍, and VBA 🧠, ensuring precision in modeling and data analysis. His hands-on knowledge in PLC systems 🤖 and industrial automation makes him versatile across both academic and applied research settings 🏭.

🔹 Research Focus 

Dr. Adibnia’s research focuses on the fusion of artificial intelligence 🤖 and photonics 💡. His work explores machine learning 📊, deep learning 🧠, nanophotonics 🔬, plasmonics ✨, optical switching 🔁, and slow light 🐢 technologies. He is particularly interested in leveraging these technologies in biosensors 🧫, metamaterials 🔷, and quantum optics ⚛️. Through simulation and algorithm development, he aims to optimize performance in optoelectronic and photonic systems 🔍. His interdisciplinary research bridges electrical engineering with physics and AI, creating advanced systems for diagnostics, sensing, and smart environments 🌐.

🔹 Awards & Honors 

🏅 Executive Committee Role – 27th Iranian Conference on Optics and Photonics
🏅 Executive Committee Role – 13th Iranian Conference on Photonic Engineering and Technology
📜 Assistant Editor – International scientific journal (name not specified)
🧠 Scopus-indexed Researcher – Scopus ID: 58485414000

Publication Top Notes

🔹 High-performance and compact photonic crystal channel drop filter using P-shaped ring resonator

  • Journal: Results in Optics

  • Date: Dec 2025

  • DOI: 10.1016/j.rio.2025.100817

  • Summary: Proposes a novel P-shaped ring resonator design for channel drop filters in photonic crystal structures. Focuses on achieving high performance in terms of compactness and spectral selectivity for integrated optical circuits.

🔹 Optimizing Few-Mode Erbium-Doped Fiber Amplifiers for high-capacity optical networks using a multi-objective optimization algorithm

  • Journal: Optical Fiber Technology

  • Date: Sep 2025

  • DOI: 10.1016/j.yofte.2025.104186

  • Summary: Introduces a multi-objective optimization approach for designing few-mode EDFAs, targeting performance improvements in next-gen high-capacity optical networks.

🔹 Inverse design of octagonal plasmonic structure for switching using deep learning

  • Journal: Results in Physics

  • Date: Apr 2025

  • DOI: 10.1016/j.rinp.2025.108197

  • Summary: Utilizes deep learning for the inverse design of an octagonal plasmonic structure used in optical switching, demonstrating enhanced precision and compact design capability.

🔹 Chirped apodized fiber Bragg gratings inverse design via deep learning

  • Journal: Optics & Laser Technology

  • Date: 2025

  • DOI: 10.1016/J.OPTLASTEC.2024.111766

  • WOS UID: WOS:001311493000001

  • Summary: Applies deep learning to the inverse design of chirped apodized fiber Bragg gratings, optimizing the spectral characteristics for filtering and sensing applications.

🔹 Inverse Design of FBG-Based Optical Filters Using Deep Learning: A Hybrid CNN-MLP Approach

  • Journal: Journal of Lightwave Technology

  • Date: 2025

  • DOI: 10.1109/JLT.2025.3534275

  • Summary: Proposes a hybrid CNN-MLP architecture to design fiber Bragg grating (FBG) optical filters, improving accuracy and speed in the inverse design process using deep learning techniques.

Conclusion

Dr. Adibnia is still in the process of completing his Ph.D., his broad technical expertise, multidisciplinary research focus, early academic leadership roles, and active participation in both national and international platforms make him a highly promising candidate for the Best Academic Researcher Award in the early-career researcher or emerging researcher category.

Guanqun Li | Engineering | Best Researcher Award

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Dr. Guanqun Li | Engineering | Best Researcher Award

Associate Researcher at Shengli oilfield, SINOPEC, China

Guanqun Li (李冠群), born in May 1994 in Shandong, China 🇨🇳, is an Associate Researcher at Shengli Oilfield Company, SINOPEC 🛢️. He earned his PhD in Oil and Gas Field Development Engineering from China University of Petroleum (East China) 🎓. His work focuses on the microscopic characterization of shale reservoirs and fluid dynamics in oil and gas systems 🔬💧. With numerous publications in top journals like Fuel and Physics of Fluids 📚, he brings innovation to shale oil recovery technologies. Passionate about fractal modeling and fluid imbibition research, Guanqun Li is contributing significantly to modern energy development ⚙️🌍.

Professional Profile:

Scopus

🔹 Education and Experience 

  • 🎓 Sep. 2016 – June 2019: Master’s in Oil and Gas Field Development Engineering, Yangtze University

  • 📚 Sep. 2019 – June 2023: PhD in Oil and Gas Field Development Engineering, China University of Petroleum (East China)

  • 🏢 July 2023 – Present: Associate Researcher, Shengli Oilfield Company, SINOPEC

🔹 Professional Development 

Dr. Guanqun Li 📘 has shown consistent professional growth, moving from academic research to applied industry innovation. His academic journey through Yangtze University and the China University of Petroleum provided a solid foundation in oilfield development ⚒️. At SINOPEC, he applies his expertise in reservoir simulation, fracturing mechanics, and fluid flow modeling 🔬. He actively contributes to peer-reviewed journals and international conferences 🌍. Guanqun continuously develops novel analytical and fractal models for imbibition in shale formations 🌀. His cross-disciplinary collaboration and technical excellence are hallmarks of his evolving career in the energy sector 🚀.

🔹 Research Focus Category 

Guanqun Li’s research centers on unconventional oil and gas recovery, specifically shale oil reservoir characterization and fluid imbibition mechanisms 🛢️💧. His work explores microscale fluid motion, fractal modeling, and productivity analysis in hydraulically fractured formations 🔍📈. He is especially interested in the spontaneous and forced imbibition processes in complex porous media under various boundary conditions 🧪. His models help optimize horizontal well performance and support enhanced oil recovery (EOR) strategies 🧠⚙️. With a clear focus on improving efficiency in volume fracturing and fluid migration mechanisms, his research is highly impactful in modern petroleum engineering 🚧.

🔹 Awards and Honors 

  • 🏅 Interpore Conference Presentation (2020) – Recognized for outstanding research on production enhancement in fractured wells

  • 📖 Multiple First-Author Publications – Published in top journals like Fuel, Physics of Fluids, and Energy & Fuels

  • 🧠 Acknowledged for Innovative Fractal Modeling – In spontaneous/forced imbibition in shale formations

  • 🥇 Highly Cited Review Paper – On EOR techniques in shale oil (Geofluids, 2021)

Publication Top Notes

  • Title: Quantifying lithofacies-dependent imbibition behavior in continental shale oil by fractal modeling: A case study of the gentle slope fault zone, Jiyang DepressionAuthors: Li Guanqun, Peng Yanxia, Yang Yong, Cao Xiaopeng, Su YuliangJournal: Fuel

    Year: 2025

Conclusion

Dr. Guanqun Li stands out as an emerging leader in petroleum reservoir engineering with clear scientific originality, engineering relevance, and a solid record of first-author publications in high-impact journals. His work has contributed meaningfully to advancing the understanding of shale oil imbibition mechanisms and their application in field operations.

Yun Zhao | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Yun Zhao | Engineering | Best Researcher Award

Yun Zhao at Northwest Normal University, China

Dr. Yun Zhao 🎓 is an Associate Professor at the College of Physics and Electronic Engineering, Northwest Normal University 🏫, since 2020. He earned his Ph.D. in Materials Science and Engineering 🧪 from the Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences 🇨🇳, in 2020. Shortly after, he joined the Ningbo Institute of Materials Technology and Engineering 🔬 as a postdoctoral researcher. His work focuses on thin film photodetectors 📸 and semiconductor devices 💡. Dr. Zhao is passionate about next-gen optoelectronics and is actively contributing to innovation in functional materials and device engineering 🚀.

Professional Profile:

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🎓 Education & Experience 

  • 📚 Ph.D. in Materials Science and Engineering, Lanzhou Institute of Chemical Physics, CAS – 2020

  • 🧑‍🏫 Postdoctoral Researcher, Ningbo Institute of Materials Technology and Engineering, CAS

  • 👨‍🏫 Associate Professor, College of Physics and Electronic Engineering, Northwest Normal University – Since 2020

📈 Professional Development 

Dr. Yun Zhao continuously engages in academic and research development through national and institutional collaborations 🤝. His postdoctoral work at the prestigious Ningbo Institute of CAS sharpened his experimental techniques and deepened his expertise in advanced semiconductors ⚙️. As an associate professor, he mentors young researchers 👨‍🔬 and collaborates on interdisciplinary projects across optics, electronics, and nanotechnology 🔍. He regularly attends academic conferences, publishes in reputed journals 📄, and reviews scientific manuscripts. His dedication to professional growth ensures he stays at the forefront of innovation in functional materials and optoelectronic devices 🌐.

🔬 Research Focus 

Dr. Yun Zhao’s research primarily revolves around thin film photodetectors 📸 and semiconductor devices ⚡. His focus lies in designing and fabricating new materials with enhanced sensitivity, stability, and performance for light-sensing technologies 🌞. He explores emerging materials such as perovskites and nanostructures 🌱 for integration into flexible and wearable electronics 🧤. His work bridges the gap between material science and applied electronics, aiming to revolutionize future optoelectronic systems 🔋. The end goal of his research is to contribute to high-performance, low-cost, and energy-efficient devices for real-world applications 🚗📱.

🏆 Awards and Honors 

  • 🎖️ Ph.D. fellowship from the Chinese Academy of Sciences

  • 🏅 Postdoctoral appointment at Ningbo Institute of Materials Technology and Engineering (CAS)

  • 🏆 Recognized for outstanding research contributions in thin film photodetectors

  • 📜 Multiple peer-reviewed publications in reputed international journals

Publication Top Notes

1. Understanding Proton Radiation-Induced Degradation Mechanisms in Cu₂ZnSn(S,Se)₄ Kesterite Thin-Film Solar Cells

Journal: Solar Energy
Date: May 2025
DOI: 10.1016/j.solener.2025.113450
Summary:
This study investigates how proton radiation affects the stability and performance of Cu₂ZnSn(S,Se)₄ (CZTSSe) thin-film solar cells. Proton radiation is relevant for space applications where solar cells are exposed to high-energy particles. The paper likely explores:

  • Changes in carrier lifetimes and defect states post-irradiation.

  • Structural or compositional changes in the absorber layer.

  • Strategies to mitigate degradation for improved radiation tolerance.

2. Multifunctional Artificial Electric Synapse of MoSe₂-Based Memristor toward Neuromorphic Application

Journal: The Journal of Physical Chemistry Letters
Date: February 6, 2025
DOI: 10.1021/acs.jpclett.4c03353
Summary:
This article presents a MoSe₂-based memristor designed to emulate biological synapses. The work focuses on neuromorphic computing, highlighting:

  • Synaptic plasticity behaviors (e.g., potentiation/depression).

  • Multifunctionality (possibly electrical + optical control).

  • Performance metrics like switching speed, retention, and endurance.

3. Exploring the Promoting Effect of Lanthanum Passivation on the Photovoltaic Performance of CZTSSe Solar Cells

Journal: The Journal of Chemical Physics
Date: December 21, 2024
DOI: 10.1063/5.0244645
Summary:
This paper studies how lanthanum (La) passivation enhances CZTSSe solar cell efficiency. Key aspects likely include:

  • Reduction in defect densities at grain boundaries or interfaces.

  • Improvements in open-circuit voltage and fill factor.

  • Insights into La’s role in modifying electronic structure or surface chemistry.

4. Electrical-Light Coordinately Modulated Synaptic Memristor Based on Ti₃C₂ MXene for Near-Infrared Artificial Vision Applications

Journal: The Journal of Physical Chemistry Letters
Date: August 29, 2024
DOI: 10.1021/acs.jpclett.4c02281
Summary:
This research showcases a Ti₃C₂ MXene-based memristor that responds to both electrical and light inputs, mimicking the retina for near-infrared vision. Highlights include:

  • Dual-mode modulation (electrical and optical).

  • Application in neuromorphic visual systems.

  • Spectral response analysis and synaptic behavior simulation.

5. Multicolor Fully Light-Modulated Artificial Synapse Based on P-MoSe₂/PxOy Heterostructured Memristor

Journal: The Journal of Physical Chemistry Letters
Date: August 29, 2024
DOI: 10.1021/acs.jpclett.4c01980
Summary:
This study introduces a heterostructured memristor combining P-doped MoSe₂ and PxOy, enabling light-tuned synaptic responses. Likely contributions:

  • Multicolor light sensitivity for multi-channel processing.

  • Photonic modulation of conductance states.

  • Integration prospects for optical neuromorphic systems.

Conclusion

Dr. Yun Zhao is highly suitable for the Best Researcher Award, particularly in categories related to emerging materials, device physics, or engineering sciences. His rapid academic progression, focused and relevant research in photodetectors and semiconductors, and training at top-tier institutions within the Chinese Academy of Sciences establish him as a promising and impactful researcher. Recognition through such an award would be both meritorious and motivating for his continued contributions to the field.

Sahar Ghatrehsamani | Engineering | Best Scholar Award

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Dr. Sahar Ghatrehsamani | Engineering | Best Scholar Award

Postdoctoral at Isfahan University of Technology, Iran

Dr. Sahar Ghatrehsamani is a passionate mechanical engineer specializing in tribology, with a strong background in machine learning and surface engineering. She earned her Ph.D. in Mechanical Engineering from Isfahan University of Technology (IUT), Iran (2022) and is currently a postdoctoral researcher at IUT, applying AI techniques to predict the tribological behavior of agricultural machinery. With expertise in CAD, FEA, and statistical analysis, she has contributed significantly to teaching, research, and mentoring students. Her work intersects materials science, additive manufacturing, and precision agriculture, making her a versatile and innovative researcher. 🌍🔬

Professional Profile:

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Education & Experience

📚 Education:

  • 🎓 Ph.D. in Mechanical Engineering (Tribology) – Isfahan University of Technology, Iran (2017-2022)

  • 🎓 M.Sc. in Mechanical Engineering (Tribology) – Isfahan University of Technology, Iran (2015-2017)

  • 🎓 B.Sc. in Mechanical Engineering (Biosystem) – Shahrekord University, Iran (2009-2013)

🔬 Experience:

  • 🔍 Postdoctoral Researcher – Isfahan University of Technology, Iran (2024-Present)

  • 👩‍🏫 Teaching Experience – Multiple undergraduate courses in mechanical engineering at IUT (2018-Present)

  • 🤝 Co-Advisor – 2 Master’s & 6 Bachelor’s students

Professional Development

Dr. Sahar Ghatrehsamani is dedicated to research, teaching, and innovation in mechanical engineering, particularly in tribology, surface engineering, and AI-driven modeling. She has actively mentored students, guided research projects, and developed expertise in CAD, numerical simulation, and data analysis. Her teaching career at Isfahan University of Technology spans multiple engineering courses, and she has consistently ranked highly in teaching evaluations. Passionate about bridging the gap between mechanical engineering and materials science, she explores new technologies in additive manufacturing and precision agriculture to enhance sustainability and performance. 🚜🛠️

Research Focus

Dr. Sahar Ghatrehsamani’s research spans multiple engineering domains, focusing on:

  • 🏎️ Tribology – Studying friction, wear, and lubrication for various applications

  • 🏭 Surface Engineering – Enhancing material properties for durability and efficiency

  • 🤖 Machine Learning & AI – Applying predictive modeling in tribological behavior and material design

  • 🏗 Mechanical Behavior of Materials – Understanding stress, strain, and failure mechanics

  • 🚜 Precision Agriculture – Developing efficient and smart agricultural machinery

  • 🖨️ Additive Manufacturing – Investigating 3D printing & advanced manufacturing

  • 📊 Data Analysis & Numerical Modeling – Integrating simulation techniques for engineering solutions

Awards & Honors

Teaching Excellence:

  • 🎖️ Ranked 1st in Mechanical Engineering Group (2021)

  • 🏅 Ranked 2nd in College of Engineering (2021)

  • 🏆 Ranked 13th among 569 faculty members at IUT (2021)

Research Contributions:

  • 📜 Published multiple high-impact research papers in tribology and AI modeling

  • 🌍 Contributed to international collaborations in mechanical engineering research

🚀 Her dedication to education, research, and innovation has established her as a rising expert in tribology and machine learning!

Publication Top Notes

  1. On the running-in nature of metallic tribo-components: A review

    • Authors: M.M. Khonsari, S. Ghatrehsamani, S. Akbarzadeh

    • Journal: Wear (Vol. 474, 2021)

    • Citations: 113

    • Summary: A comprehensive review of the running-in phase in metallic tribo-systems, examining the changes in friction, wear, and surface topography over time.

  2. Experimentally verified prediction of friction coefficient and wear rate during running-in dry contact

    • Authors: S. Ghatrehsamani, S. Akbarzadeh, M.M. Khonsari

    • Journal: Tribology International (Vol. 170, 2022)

    • Citations: 41

    • Summary: Experimental validation of predictive models for friction and wear rate during the running-in phase under dry contact conditions.

  3. Experimental and numerical study of the running-in wear coefficient during dry sliding contact

    • Authors: S. Ghatrehsamani, S. Akbarzadeh, M.M. Khonsari

    • Journal: Surface Topography: Metrology and Properties (Vol. 9, Issue 1, 2021)

    • Citations: 25

    • Summary: Investigates the wear coefficient during dry sliding contact using both experimental methods and numerical simulations.

  4. Predicting the wear coefficient and friction coefficient in dry point contact using continuum damage mechanics

    • Authors: S. Ghatrehsamani, S. Akbarzadeh

    • Journal: Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology (2019)

    • Citations: 23

    • Summary: Develops a predictive framework for wear and friction coefficients in dry point contact using continuum damage mechanics.

  5. Application of continuum damage mechanics to predict wear in systems subjected to variable loading

    • Authors: S. Ghatrehsamani, S. Akbarzadeh, M.M. Khonsari

    • Journal: Tribology Letters (Vol. 69, 2021)

    • Citations: 15

    • Summary: Extends continuum damage mechanics principles to predict wear in tribological systems under varying load conditions.

Conclusion

Sahar Ghatrehsamani is a strong candidate for the Best Scholar Award. Her contributions to tribology, AI-driven material predictions, and mechanical behavior research are significant. She excels in both academic and applied research, making notable interdisciplinary advancements. Given her teaching excellence, mentorship, and research output, she is highly deserving of recognition as a leading researcher in her field.

Zhan-Long Wang | Engineering | Best Scholar Award

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Dr. Zhan-Long Wang | Engineering | Best Scholar Award

Dr. Zhan-Long Wang, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China

Dr. Zhan-Long Wang is an Assistant Professor at the Shenzhen Institutes of Advanced Technology, CAS, with expertise in solid mechanics, micro-structured surfaces, and material science. His research addresses complex challenges in fluid dynamics, biosensor development, and AI-assisted material discovery. Recognized as a Shenzhen Pengcheng Distinguished Scholar, Dr. Wang holds numerous patents and leads groundbreaking projects in micro-droplet technology and condensation inhibition.

PROFILE

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Educational Details

Dr. Zhan-Long Wang obtained his Bachelor’s degree in Civil Engineering from Jiangnan University in 2014, where he was mentored by Prof. Yuanzhi Bi. He then pursued an M.Sc. and Ph.D. in Solid Mechanics at the Institute of Mechanics, Chinese Academy of Sciences, under the guidance of Prof. Ya-Pu Zhao, completing his doctoral studies in 2021.

Professional Experience

Dr. Wang’s career includes a Postdoctoral Fellowship at the Shenzhen Institutes of Advanced Technology, CAS (2021-2023), where he later became an Assistant Professor in 2023. His academic journey reflects a strong commitment to advancing materials science, nanotechnology, and bioengineering through both research and innovation.

Research Interests

Dr. Wang specializes in fluid mechanics, micro/nano-structured materials, and the dynamic interfacial behaviors of droplets. His current research includes developing high-throughput micro-droplet array systems, enhancing biosensor technology, promoting and suppressing condensation in materials, and leveraging AI in material discovery.

Patents

Dr. Wang is an inventor on several patents that cover advanced material technologies, including innovations in fluid collection systems, microfluidic chips, and high-throughput synthesis methods for magnetic micro/nanomaterials. His patents contribute to applications in fields ranging from biomedical devices to environmental engineering.

Research Projects

Dr. Wang has led numerous significant projects as a Principal Investigator. His recent projects include an NSFC Young Scientist Fund project on droplet self-rotation, a Postdoctoral Fund project exploring bioactive solution wetting dynamics, and a Shenzhen Research Grant for developing transparent polymer films to inhibit condensation. His ongoing work at the Shenzhen Institutes of Advanced Technology under the Excellent Youth Fund focuses on large-scale micro-droplet array formation.

Top Notable Publications

Hu, J., & Wang, Z.-L. (2024). The effect of hygroscopic liquids on the spatial controlling of condensation on low-temperature surfaces. Surfaces and Interfaces, 55, 105430.

Citations: 0

Hu, J., Zhao, H., Xu, Z., Hong, H., & Wang, Z.-L. (2024). The effect of substrate temperature on the dry zone generated by the vapor sink effect. Physics of Fluids, 36(6), 067106.

Citations: 1

Lin, K., & Wang, Z. (2023). Multiscale mechanics and molecular dynamics simulations of the durability of fiber-reinforced polymer composites. Communications Materials, 4(1), 66.

Citations: 18

Xu, Y., Zhang, D., Wu, Q., Xu, Z., & Wu, T. (2023). Facet-dependent electrochemical behavior of Au-Pd Core@Shell nanorods for enhanced hydrogen peroxide sensing. ACS Applied Nano Materials, 6(20), 18739–18747.

Citations: 3

Wang, Z.-L., & Lin, K. (2023). The multi-lobed rotation of droplets induced by interfacial reactions. Physics of Fluids, 35(2), 021705.

Citations: 1

Wang, Z., Wang, X., Miao, Q., Gao, F., & Zhao, Y.-P. (2021). Spontaneous motion and rotation of acid droplets on the surface of a liquid metal. Langmuir, 37(14), 4370–4379.

Citations: 8

Wang, Z., Wang, X., Miao, Q., & Zhao, Y.-P. (2021). Realization of self-rotating droplets based on liquid metal. Advanced Materials Interfaces, 8(3), 2001756.

Citations: 6

Conclusion

Dr. Zhan-Long Wang’s strong academic record, pioneering research, impressive patents, and multiple awards position him as an exemplary candidate for the Research for Best Scholar Award. His innovative contributions to engineering and science demonstrate his commitment to advancing technology and society, making him highly suitable for this distinguished recognition.

 

 

 

 

 

 

 

Naoufel Ben Hamadi | Engineering | Excellence in Scientific Innovation Award

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Prof. Naoufel Ben Hamadi | Engineering | Excellence in Scientific Innovation Award

Prof. Naoufel Ben Hamadi, Chemistry Department, College of Science, IMSIU, Imam Mohammad Ibn Saud Islamic University, P.O. Box 5701, Riyadh 11432, Saudi Arabia

Prof. naoufel ben hamadi is a distinguished professor of chemistry at IMSIU, specializing in organic synthesis, photochemistry, and environmental applications of chemistry. His research emphasizes sustainable technologies, and he serves as a reviewer for leading international journals, contributing to advances in organic and polymer chemistry.

PROFILE

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Educational Details

Prof. naoufel ben hamadi has built a strong foundation in organic chemistry through comprehensive academic achievements at the Monastir Faculty of Sciences in Tunisia. He earned his Ph.D. in Organic Chemistry Sciences in 2008, graduating with the distinction of “Very Honorable with felicitation of the Jury.” Continuing his academic pursuit, he achieved his Habilitation à Diriger des Recherches (HDR) in Organic Chemistry in 2013, again with the highest honors and jury recognition. Prof. ben hamadi also holds a post-graduate diploma (2002) and a bachelor’s degree (2000) in Physics Sciences, both awarded with commendable grades.

Professional Experience

Prof. ben hamadi began his teaching career in 2003 as an Assistant at the Higher Institute of Technology Studies in Zaghouan, Tunisia. He advanced to Assistant Professor at Gabes Faculty of Sciences from 2008 to 2014. Since joining the College of Sciences at Imam Mohammad Ibn Saud Islamic University (IMSIU) in 2014, he has held positions as Associate Professor and, since 2023, full Professor. His teaching experience spans organic synthesis, photochemistry, and bioresource technology, among other fields within the discipline of chemistry.

Research Interest

Prof. ben hamadi’s research expertise encompasses various aspects of chemistry, particularly organic synthesis, photochemistry, polymer chemistry, textile dyeing, bioresource technology, and waste treatment. His work often emphasizes sustainable practices and innovative applications of organic compounds across different industries.

Peer Review Contributions

As a dedicated academic, Prof. ben hamadi contributes to the scientific community by acting as a peer reviewer for multiple international journals, including Letters in Organic Chemistry, Molecules, Arabian Journal of Chemistry, Natural Science, Scientific Research and Essays, Industrial Crops and Products, and the Journal of Cleaner Production.

Top Notable Publications

“Insights into Co (II)-based hybrid materials for photocatalytic and antioxidant applications”

Authors: Gassara, M., Hchicha, K., Mhadhbi, N., Hamadi, N.B., Boufahja, F.

Journal: Journal of Molecular Structure

Year: 2025

Volume/Issue/Page: 1319, Article 139458

Citations: 1

“Synthesis, structure, and luminescence properties of a 0D organic-inorganic cadmium iodide: Combined experimental and theoretical approach”

Authors: Fandouli, A., Hamadi, N.B., Guesmi, A., Houas, A., Rayes, A.

Journal: Journal of Molecular Structure

Year: 2024

Volume/Issue/Page: 1314, Article 138683

Citations: 0

“Erratum to ‘Synthesis, thermal, dielectric and electro-optic properties of new series of fluorinated hydrogen-bonded liquid crystals, [J. Mol. Liq. 367 (2022) 120510]’”

Authors: Derbali, M., Soltani, T., Guesmi, A., Jeanneau, E., Chevalier, Y.

Journal: Journal of Molecular Liquids

Year: 2024

Volume/Issue/Page: 407, Article 125246

Citations: 0

“A new non-centrosymmetric material (C5H9N3)[ZnBr4]·H2O : Molecular structure, characterization, optical properties, and biological activities”

Authors: Dammak, S.W., Tlili, H., Trabelsi, I., Hamadi, N.B., Naïli, H.

Journal: Journal of Molecular Structure

Year: 2024

Volume/Issue/Page: 1307, Article 137907

Citations: 1

“Novel composite from chitosan and a metal-organic framework for removal of tartrazine dye from aqueous solutions; adsorption isotherm, kinetic, and optimization using Box-Benkhen design”

Authors: El-Fattah, W.A., Guesmi, A., Hamadi, N.B., El-Desouky, M.G., Shahat, A.

Journal: International Journal of Biological Macromolecules

Year: 2024

Volume/Issue/Page: 273, Article 133015

Citations: 9

“Hydrothermal synthesis of (C5H14N2)[CoCl4]⸳0.5H2O: Crystal structure, spectroscopic characterization, thermal behavior, magnetic properties, and biological evaluation”

Authors: Walha, S., Mhadhbi, N., Ali, B.F., Costantino, F., Naïli, H.

Journal: Chemical Physics Impact

Year: 2024

Volume/Issue/Page: 8, Article 100597

Citations: 1

Conclusion

Prof. Naoufel Ben Hamadi’s distinguished academic background, extensive teaching experience, impactful research focus, and active involvement in scientific publishing strongly support his candidacy for the Best Researcher Award. His achievements and commitment to advancing the field of chemistry make him a highly qualified nominee.

 

 

Slavko Đurić | Engineering | Best Researcher Award

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Prof Dr. Slavko Đurić | Engineering | Best Researcher Award

 

Educational Details:

Prof. Dr. Slavko Đurić earned his Doctorate of Technical Sciences, specializing in applied mathematics, thermodynamics, and dynamic systems. His academic journey has been rooted in the exploration of partial differential equations and their applications, as well as calculus of variations in mechanics and thermodynamics. Prof. Đurić has cultivated a deep understanding of these technical sciences, which has shaped his academic and professional contributions.

Professional Experience

Prof. Dr. Slavko Đurić is a full professor with extensive teaching and research experience at the Faculty of Technical Sciences in Novi Sad, Republic of Serbia, and the Faculty of Traffic in Doboj, University of East Sarajevo, Bosnia and Herzegovina. His academic expertise spans across various disciplines, including propagation of disturbances, thermodynamics, heat and mass transfer, and applied mathematics. In his teaching roles, Prof. Đurić has delivered comprehensive lectures on these subjects, fostering the next generation of engineers and technical scientists. His professional dedication to teaching and research excellence earned him the Plaque of the Faculty of Transportation for outstanding contributions in these areas.

Research Interest

Prof. Đurić’s research is centered around partial differential equations and their applications in mechanics and thermodynamics. He is particularly interested in dynamic systems and the calculus of variations, which play critical roles in advancing theoretical and applied research in engineering and technical sciences. Prof. Đurić has authored over 50 scientific papers, with 21 published in Science Citation Index (SCI) journals, highlighting his contributions to the field and his influence on global scientific knowledge.

Top Notable Publications

 

Conclusion