Dr. Zahra Beheshti | AI in Engineering | Best Researcher Award

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Dr. Zahra Beheshti | AI in Engineering | Best Researcher Award

Dr. Zahra Beheshti | Islamic Azad University | Iran

Dr. Zahra Beheshti is an Assistant Professor at the Islamic Azad University, Najafabad Branch, with a distinguished background in computer engineering and artificial intelligence. She holds a B.Sc. and M.Sc. in Computer Engineering (Software) and a Ph.D. in Computer Science with a focus on Artificial Intelligence, followed by postdoctoral research in Soft Computing. Dr. Beheshti has made significant contributions to the field, including the compilation of the book Centripetal Accelerated Particle Swarm Optimization and Applications. Her academic excellence has been recognized through scholarships awarded to top international Ph.D. students. She is actively involved in knowledge dissemination, having conducted multiple workshops on advanced topics such as Machine Learning, Fuzzy Expert Systems and their application in algorithm parameter determination, and Introduction to Fuzzy Logic along with the Design and Implementation of Fuzzy Expert Systems. Her research output includes 34 documents, cited 1,865 times by 1,698 publications, with an h-index of 20, reflecting the significant impact of her work. Through her teaching, research, and publications, Dr. Beheshti demonstrates a strong commitment to advancing computational intelligence, fostering innovation, and mentoring the next generation of researchers in AI and soft computing, combining both academic rigor and practical application.

Profile: Scopus | Google Scholar | Orcid

Featured Publications

  • Z Beheshti, SMH Shamsuddin, A review of population-based meta-heuristic algorithms, Int. J. Adv. Soft Comput. Appl 5 (1), 1-35, 744 citations, 2013

  • H Abedinpourshotorban, SM Shamsuddin, Z Beheshti, DNA Jawawi, Electromagnetic field optimization: a physics-inspired metaheuristic optimization algorithm, Swarm and Evolutionary Computation 26, 8-22, 414 citations, 2016

  • M Jafarzadegan, F Safi-esfahani, Z Beheshti, Combining Hierarchical Clustering approaches using the PCA Method, Expert Systems with Applications 137, 1-10, 156 citations, 2019

  • Z Beheshti, SM Shamsuddin, S Hasan, Memetic binary particle swarm optimization for discrete optimization problems, Information Sciences 299, 58-84, 129 citations, 2015

  • Z Beheshti, SMH Shamsuddin, CAPSO: centripetal accelerated particle swarm optimization, Information Sciences 258, 54-79, 120 citations, 2014

  • M Banaie-Dezfouli, MH Nadimi-Shahraki, Z Beheshti, R-GWO: Representative-based grey wolf optimizer for solving engineering problems, Applied Soft Computing 106, 1-28, 108 citations, 2021

 

 

Dr. Bin Zhang | Structural Engineering | Best Researcher Award

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Dr. Bin Zhang | Structural Engineering | Best Researcher Award

Dr. Bin Zhang | Chongqing University of Science and Technology | China

Dr. Bin Zhang holds a Doctorate in Engineering and has completed postdoctoral research. He is a lecturer and master’s supervisor in the Department of Road and Bridge Engineering, School of Civil and Hydraulic Engineering, and a youth committee member of the World Transport Convention. His research focuses on the dynamic characteristics of underground and tunnel structures, the development of new materials and technologies for structural reinforcement, and intelligent monitoring of structural health. His research output includes 26 documents, 171 citations, 146 citing documents, and an h-index of 8. He teaches both undergraduate and postgraduate courses, including Tunnel Engineering, Engineering Surveying, Tunnel Mechanics, and Frontier Technologies in Civil Engineering, integrating theoretical knowledge with practical applications to advance innovation in civil and tunnel engineering. Additionally, he has developed advanced experimental methods for studying tunnel lining mechanics, contributing to safer and more efficient tunnel design practices.

Profile: Scopus | Orcid

Featured Publications

  • Study on the Stability of Buildings During Excavation in Urban Core Areas, Applied Sciences, 2025. Contributors: Kang Liu, Huafeng Liu, Yuntai Gao, Zijian Wang, Yunchuan Wang, Qi Liu, Chaolin Jia, Zihang Huang, Bin Zhang.

  • Experimental Study on Mechanical Differences Between Prefabricated and Cast-In Situ Tunnel Linings Based on a Load-Structure Model, Buildings, 2025. Contributors: Li-Ming Wu, Hong-Kun Li, Feng Gao, Zi-Jian Wang, Bin Zhang, Wen-Jie Luo, Jun-Jie Li.

  • Mechanical Properties of Steel Fiber-Reinforced Concrete Tunnel Secondary Lining Structure and Optimization of Support Parameters, Buildings, 2025. Contributors: Zijian Wang, Yunchuan Wang, Xiaorong Wang, Baosheng Rong, Bin Zhang, Liming Wu, Chaolin Jia, Zihang Huang.

  • Crystallization Blockage in Highway Tunnel Drainage System Based on Molecular Dynamics, AIP Advances, 2025. Contributors: Shiyang Liu, Xuefu Zhang, Bin Zhang.

  • Experimental Study on Grouting Diffusion Law of Tunnel Secondary Lining Cracks Based on Different Slurry Viscosities, Applied Sciences, 2025. Contributors: Bin Zhang, Peng Liu, Yi Wu, Liming Wu, Chen Li, Shiyang Liu, Yuanfu Zhou.

  • Experimental Study on Grouting Diffusion Law of the Different Crack Widths in Tunnel Lining, KSCE Journal of Civil Engineering, 2023. Contributors: Bin Zhang, Yuanfu Zhou, Xuefu Zhang, Zijian Wang, Wei Yang, Yixuan Ban.

  • Anti Crystallization Blocking of Flocking Drainage Pipe Based on Natural Phenomenon, Materials Science, 2022. Contributors: Xuefu Zhang, Shiyang Liu, Feng Gao, Yuanfu Zhou, Bin Zhang.

Prof. Ouajdi Korbaa | AI in Engineering | Innovative Research Award

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Prof. Ouajdi Korbaa | AI in Engineering | Innovative Research Award

Prof. Ouajdi Korbaa | University of Sousse | Tunisia

Prof. Ouajdi Korbaa is a distinguished researcher and professor at the Institute of Computer Science and Communication Techniques, University of Sousse, Tunisia, and a member of the Modeling of Automated Reasoning Systems Laboratory. His research focuses on modeling, discrete optimization, scheduling, and artificial intelligence, contributing significantly to the development of advanced methodologies in these areas. He has supervised numerous Master’s and PhD students and actively participates in academic juries, reflecting his commitment to mentoring the next generation of researchers. Prof. Korbaa has authored 157 documents cited by 998 sources, achieving an h-index of 18, demonstrating his strong impact and influence in the field. His work integrates theoretical foundations with practical applications, advancing computational techniques for problem-solving and decision-making. Recognized for his expertise in optimization and AI, he has made substantial contributions to both the academic community and the broader field of computer science, fostering innovation in modeling and automated reasoning systems.

Profile: Scopus | Google Scholar | Orcid

Featured Publications

  • Nssibi, M., Manita, G., & Korbaa, O. (2023). Advances in nature-inspired metaheuristic optimization for feature selection problem: A comprehensive survey. Computer Science Review, 49, 100559.

  • Jemili, F., Meddeb, R., & Korbaa, O. (2024). Intrusion detection based on ensemble learning for big data classification. Cluster Computing, 27(3), 3771–3798.

  • Benzarti, S., Triki, B., & Korbaa, O. (2017). A survey on attacks in Internet of Things based networks. In Proceedings of the 2017 International Conference on Engineering & MIS (ICEMIS) (pp. 1–7).

  • Meddeb, R., Jemili, F., Triki, B., & Korbaa, O. (2023). A deep learning-based intrusion detection approach for mobile Ad-hoc network. Soft Computing, 27(14), 9425–9439.

  • Abid, A., Jemili, F., & Korbaa, O. (2024). Real-time data fusion for intrusion detection in industrial control systems based on cloud computing and big data techniques. Cluster Computing, 27(2), 2217–2238.

  • Korbaa, O., Camus, H., & Gentina, J. C. (1997). FMS cyclic scheduling with overlapping production cycles. In Proceedings of the 18th International Conference on Application and Theory of Automation in Technology (pp. 1–10).

  • Lee, J., & Korbaa, O. (2004). Modeling and scheduling of ratio-driven FMS using unfolding time Petri nets. Computers & Industrial Engineering, 46(4), 639–653.

  • Meddeb, R., Triki, B., Jemili, F., & Korbaa, O. (2017). A survey of attacks in mobile ad hoc networks. In Proceedings of the 2017 International Conference on Engineering & MIS (ICEMIS) (pp. 1–7).

 

Prof. Ilknur Zeren Cetin | Sustainable Engineering | Best Researcher Award

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Prof. Ilknur Zeren Cetin | Sustainable Engineering | Best Researcher Award

Prof. Ilknur Zeren Cetin | Ondokuz Mayis University | Turkey

Prof. Ilknur Zeren Cetin is an Assistant Professor in the Department of Urban and Regional Planning at Ondokuz Mayis University, Faculty of Architecture, Turkey. She has a strong academic and research background in urban sustainability, climate change impacts, land cover dynamics, and spatial planning, with her work focusing on integrating environmental monitoring and urban design to promote resilient and sustainable urban environments. She has contributed significantly to high-impact research, with publications in SCI, SSCI, and AHCI-indexed journals, including studies on climate change impacts in the Upper Sakarya Basin, large-scale monitoring of riparian land-cover changes, and the conservation of Taxus baccata. Her research also addresses practical urban challenges, such as assessing walkability for parents with strollers and providing recommendations for sustainable urban design, reflecting her interdisciplinary approach that bridges environmental science, urban planning, and social considerations. With 1,617 citations by 816 documents, 28 publications, and an h-index of 21, Prof. Cetin demonstrates a consistent record of scholarly influence and contribution to the field, and her work continues to guide evidence-based urban policy and planning strategies in Turkey and beyond, emphasizing sustainable development, climate adaptation, and community-centered urban design.

Profile: Scopus | Google Scholar | Orcid

Featured Publications

  • Cetin, M., Zeren, I., Sevik, H., Cakir, C., & Akpinar, H. (2018). A study on the determination of the natural park’s sustainable tourism potential. Environmental Monitoring and Assessment, 190(3), 167.

  • Sevik, H., Cetin, M., Ozel, H. B., Ozel, S., & Zeren Cetin, I. (2020). Changes in heavy metal accumulation in some edible landscape plants depending on traffic density. Environmental Monitoring and Assessment, 192(2), 78.

  • Cesur, A., Zeren Cetin, I., Cetin, M., Sevik, H., & Ozel, H. B. (2022). The use of Cupressus arizonica as a biomonitor of Li, Fe, and Cr pollution in Kastamonu. Water, Air, & Soil Pollution, 233(6), 193.

  • Cetin, M., Aljama, A. M. O., Alrabiti, O. B. M., Adiguzel, F., Sevik, H., & Zeren Cetin, I. (2022). Using topsoil analysis to determine and map changes in Ni and Co pollution. Water, Air, & Soil Pollution, 233(8), 293.

  • Cetin, M., Aljama, A. M. O., Alrabiti, O. B. M., Adiguzel, F., Sevik, H., & Zeren Cetin, I. (2022). Determination and mapping of regional change of Pb and Cr pollution in Ankara city center. Water, Air, & Soil Pollution, 233(5), 163.

  • Varol, T., Cetin, M., Ozel, H. B., Sevik, H., & Zeren Cetin, I. (2022). The effects of climate change scenarios on Carpinus betulus and Carpinus orientalis in Europe. Water, Air, & Soil Pollution, 233(2), 45.

  • Cesur, A., Zeren Cetin, I., Abo Aisha, A. E. S., Alrabiti, O. B. M., Aljama, A. M. O., et al. (2021). The usability of Cupressus arizonica annual rings in monitoring the changes in heavy metal concentration in air. Environmental Science and Pollution Research, 28(27), 35642–35648.

 

Prof. Dr. Rehan Ahmad Khan | Structural Engineering | Best Researcher Award

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Prof. Dr. Rehan Ahmad Khan | Structural Engineering | Best Researcher Award

Prof. Dr. Rehan Ahmad Khan | Aligarh Muslim University | India

Prof. Dr. Rehan Ahmad Khan is a distinguished Professor of Civil Engineering at the Zakir Husain College of Engineering and Technology, Aligarh Muslim University. He earned his Ph.D. from the Indian Institute of Technology Delhi with a specialization in the reliability analysis of cable-stayed bridges under earthquake forces, and has since built expertise in reliability analysis, recycled aggregate concrete, self-healing and bacterial concrete, structural dynamics, and earthquake engineering. His teaching spans both undergraduate and postgraduate programs, covering areas such as strength of materials, structural analysis, reinforced concrete design, earthquake and wind engineering, disaster preparedness, advanced construction materials, and applied numerical methods. He has undertaken several consultancy projects, including structural audits, third-party inspections of buildings, bridges, retaining walls, wastewater treatment plants, and overhead tanks, contributing to engineering practice and safety standards. A recognized reviewer for reputed journals under Springer and Elsevier, he has authored 30 publications with 218 citations and an h-index of 8, reflecting his research impact and academic contributions to civil engineering.

Profile: Scopus

Featured Publications

Khan, R. A., (2025) Investigation of microstructural characterization, strength and durability of self-healing self-compacting conventional concrete Structures

Khan, R. A., (2025) Reliability analysis of nuclear power plant subjected to earthquake shocks Iranian Journal of Science and Technology, Transactions of Civil Engineering

Khan, R. A., (2024) Mechanical and microstructural performance of bacterial self-compacted concrete incorporating mineral admixtures Innovative Infrastructure Solutions

 

Dr. Goutam Khankari | Sustainable Engineering | Best Researcher Award

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Dr. Goutam Khankari | Sustainable Engineering | Best Researcher Award

Dr. Goutam Khankari | Damodar Valley Corporation | India

Dr. Goutam Khankari is a distinguished researcher and engineer specializing in thermal power systems. His PhD research, titled “Thermodynamic Analysis and Performance Improvement of Coal-Fired Thermal Power Plants,” focused on a comprehensive 4-E approach—Energy, Exergy, Environment, and Economic analysis—of various coal-fired steam power plants using high-ash Indian coals. The primary objective of his work was to enhance the overall efficiency and net power output of these plants by exploiting low-grade waste energy through the Kalina Cycle System, integrating solar energy, and optimizing operational conditions. Dr. Khankari’s research not only provides critical insights into energy and exergy efficiencies but also emphasizes sustainable practices and environmental considerations in coal-based power generation. His work has been widely recognized, reflected in 97 citations across 88 documents and an h-index of 5, demonstrating significant academic influence. Through his innovative approaches to performance improvement and waste energy utilization, Dr. Khankari has contributed meaningfully to the field of thermal engineering, offering practical solutions for maximizing energy output while minimizing environmental impact in India’s coal-fired power sector.

Profile: Scopus | Google Scholar

Featured  Publications

Khankari, G., & Karmakar, S. (2016). Power generation from coal mill rejection using Kalina cycle. Journal of Energy Resources Technology, 138(5), 052004.

Khankari, G., Munda, J., & Karmakar, S. (2016). Power generation from condenser waste heat in coal-fired thermal power plant using Kalina cycle. Energy Procedia, 90, 613–624.

Khankari, G., & Karmakar, S. (2018). Power generation from fluegas waste heat in a 500 MWe subcritical coal-fired thermal power plant using solar assisted Kalina Cycle System 11. Applied Thermal Engineering, 138, 235–245.

Khankari, G., & Karmakar, S. (2021). A novel solar assisted Kalina cycle system for waste heat utilization in thermal power plants. International Journal of Energy Research, 45(12), 17146–17158.

Roge, N. H., Khankari, G., & Karmakar, S. (2022). Waste heat recovery from fly ash of 210 MW coal fired power plant using organic rankine cycle. Journal of Energy Resources Technology, 144(8), 082107.

Khankari, G., & Karmakar, S. (2014). Operational optimization of turbo-generator (TG) cycle of a 500MW coal-fired thermal power plant. In 2014 6th IEEE Power India International Conference (PIICON) (pp. 1–6).

Khankari, G., Karmakar, S., Pramanick, A., & Biswas, M. (2013). Thermodynamic analysis of a 500MW coal-fired Indian power plant. In ESMOC Conference, NIT Durgapur, India.

Mr. Andreas Fezer | Data Driven Engineering | Best Researcher Award

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Mr. Andreas Fezer | Data Driven Engineering | Best Researcher Award

Mr. Andreas Fezer | Materials Testing Institute, University of Stuttgart | Germany

Mr. Andreas Fezer is a Scientific Associate at the Materials Testing Institute, University of Stuttgart, Germany, specializing in joining technology and additive manufacturing. He holds both bachelor’s and master’s degrees in mechanical engineering from the University of Stuttgart. Since joining the institute, he has contributed to advanced research on resistance spot welding, aluminum alloys, and the integration of experimental and machine learning approaches in welding technology. His published works focus on improving manufacturing efficiency and material performance. With expertise spanning mechanical engineering fundamentals and applied welding processes, Mr. Fezer plays an active role in advancing industrial materials testing and innovative manufacturing solutions.

Professional Profile

Orcid

Education and Experience

Mr. Andreas Fezer earned his bachelor’s and master’s degrees in mechanical engineering from the University of Stuttgart, Germany. Following his academic training, he began his professional career at the Materials Testing Institute, University of Stuttgart, where he works as a Scientific Associate in the Department of Joining Technology and Additive Manufacturing. His work involves both experimental and computational research, focusing on welding processes, material resistance evaluation, and the development of innovative manufacturing techniques. Through his combined academic background and applied industrial research, Mr. Fezer contributes to the advancement of materials engineering and welding technologies in both academic and industrial contexts.

Summary Suitability

Mr. Andreas Fezer is an outstanding candidate for the Best Researcher Award due to his significant contributions to advanced materials testing and welding technology. As a Scientific Associate at the Materials Testing Institute, University of Stuttgart, he has demonstrated expertise in joining technology and additive manufacturing, focusing on aluminum alloys and resistance spot welding processes. His work combines experimental investigations with innovative machine learning techniques, enabling improved understanding of dynamic resistance and contact behavior in metal joining.

Professional Development 

Mr. Andreas Fezer has cultivated expertise in resistance spot welding, aluminum alloy characterization, and additive manufacturing processes. He engages in collaborative research integrating experimental methods with machine learning to improve process understanding and efficiency in manufacturing. His professional growth has been shaped by active participation in scientific publications, interdisciplinary teamwork, and applied research projects that connect engineering theory with industrial practice. Working within the renowned Materials Testing Institute at the University of Stuttgart has allowed him to refine his analytical, problem-solving, and technical skills, positioning him as a valuable contributor to innovation in mechanical engineering and materials science.

Research Focus 

Mr. Andreas Fezer’s research is centered on welding technology, particularly resistance spot welding of aluminum alloys used in automotive and structural applications. His work addresses both the physical phenomena involved in material joining and the development of methods for evaluating contact and bulk resistance in metals. He explores dynamic resistance behavior using a combination of laboratory experimentation and machine learning techniques, aiming to enhance process reliability, material performance, and production efficiency. His research focus falls under the category of advanced manufacturing and materials engineering, with an emphasis on joining processes, welding quality control, and the integration of data-driven approaches in manufacturing.

Awards and Honors

Mr. Andreas Fezer’s professional recognition is reflected in his contributions to peer-reviewed scientific publications and his role in advancing welding technology research. His work has appeared in reputable international journals, showcasing the impact and quality of his studies in materials testing and manufacturing innovation. Through collaborative projects and research dissemination, he has earned professional respect within the mechanical engineering and materials science community. His achievements underscore his reputation as a researcher whose work supports both academic advancement and industrial application in the field of joining technology and additive manufacturing.

Publication Top Notes

Title: Method for Determining the Contact and Bulk Resistance of Aluminum Alloys in the Initial State for Resistance Spot Welding
Year: 2025

Title: Experimental and Machine Learning Investigation of Dynamic Resistance in Aluminum Resistance Spot Welding for the Body-in-White
Year: 2025

Conclusion

Mr. Andreas Fezer’s innovative research, combining experimental methods and machine learning in welding technology, has made a significant impact on materials science and manufacturing. His work demonstrates technical excellence, practical relevance, and academic rigor, establishing him as a leading researcher in his field. His contributions to understanding and improving aluminum resistance spot welding processes highlight both his scientific insight and his ability to drive industrial innovation, making him exceptionally deserving of the Best Researcher Award.

 

Prof. Dr. Vedat Oruç | Engineering | Best Researcher Award

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Prof. Dr. Vedat Oruç | Engineering | Best Researcher Award

Prof. Dr. Vedat Oruç , Dcile University , Turkey.

Prof. Dr. Vedat Oruç 👨‍🏫 is a distinguished academic at the Department of Mechanical Engineering, Faculty of Engineering, Dicle University, Diyarbakır, Turkiye 🇹🇷. Since 1998, he has dedicated his career to advancing the fields of fluid mechanics, flow control, and refrigeration 🌬️❄️. With 41 publications in top-tier journals 📚 and a Web of Science H-index of 15 📈, his contributions are widely recognized. He actively shares his research across platforms like Scopus, Web of Science, and Google Scholar 🌐. Prof. Oruç is known for his dedication, impactful research, and long-standing commitment to engineering education and innovation ⚙️🎓.

Publication Profile

Scopus
Orcid
Google Scholar

Education and Experience 

  • 🎓 Academic Background: Mechanical Engineering, Dicle University

  • 👨‍🏫 Teaching Experience: Faculty member since 1998 at Dicle University

  • 🏛️ Institution: Department of Mechanical Engineering, Faculty of Engineering, Dicle University

  • 📍 Location: Diyarbakır, Turkiye

  • 🧪 Research Focus: Fluid Mechanics, Flow Control, Refrigeration

Suitability Summary

Prof. Dr. Vedat Oruç, a distinguished academic at Dicle University, Türkiye, is an ideal candidate for the Best Researcher Award. With over 25 years of experience in mechanical engineering, his work has significantly advanced the fields of fluid mechanics, flow control, and refrigeration. Prof. Oruç has authored 41 peer-reviewed journal articles indexed in SCI and Scopus, demonstrating both depth and consistency in research. His scholarly influence is reflected in a Web of Science H-index of 15, and his publications are widely cited across reputable platforms. His academic integrity and commitment to innovative research make him a strong contender for this prestigious honor.

Professional Development 

Prof. Dr. Vedat Oruç has steadily built his professional expertise through decades of teaching and research 🧑‍🔬📘. With over 41 publications in reputable journals indexed in SCI and Scopus 📄🔍, he demonstrates a strong foundation in experimental and theoretical engineering. His academic journey is supported by high-impact research reflected in a WOS H-index of 15 📊. He continues to contribute to the advancement of fluid mechanics and flow technologies through innovative work and continuous learning 🔄. By staying actively involved in scholarly platforms like Scopus, Web of Science, and Google Scholar 🌐, he ensures visibility and collaboration opportunities across borders 🌍.

Research Focus 

Prof. Dr. Vedat Oruç specializes in the dynamic fields of fluid mechanics, flow control, and refrigeration 🌊🌀❄️. His work investigates the behavior of fluids under various physical conditions, aiming to optimize control methods for engineering applications 🚀. These areas are critical in industries ranging from HVAC systems to aerospace and energy efficiency 🌡️✈️🔋. His 41 peer-reviewed journal publications illustrate a strong commitment to expanding theoretical and applied research. By focusing on efficient energy transfer and innovative flow techniques, Prof. Oruç contributes significantly to sustainable engineering and practical technological advancement ⚙️🌱📈.

Awards and Honors 

  • 🏆 Nominee: Best Researcher Award – Superior Engineering Research Awards

  • 🧪 Scientific Recognition: 41 peer-reviewed publications (SCI, Scopus)

  • 📈 Impact Metric: Web of Science H-index of 15

  • 🌍 Global Visibility: Active profiles on Scopus, Web of Science, ResearchGate, and Google Scholar

Publication Top Notes 

  • 🔬 The Thermodynamic and Environmental Analysis of a Variable Speed R404A Refrigeration System Using R455A

  • 📉 Isı Pompası Kullanıldığında Optimum Yalıtım Kalınlığının Belirlenmesi ve Ekonomik Analizi

    • Journal: DÜMF Mühendislik Dergisi

    • Date: October 5, 2024

    • DOI: 10.24012/dumf.1547522

    • Contributors: Uğur Yaman, Atilla Gencer Devecioğlu, Vedat Oruç

  • 🏠 The Evaluation and Improvement for the Energy Performance of Buildings: A Case Study

    • Journal: Next Energy

    • Date: July 2024

    • DOI: 10.1016/j.nxener.2024.100126

    • ISSN: 2949-821X

    • Contributors: Atilla G. Devecioğlu, Burhan Bilici, Vedat Oruç

  • ❄️ Retrofit of an Internal Heat Exchanger in a R404A Refrigeration System Using R452A

    • Journal: Next Energy

    • Date: April 2024

    • DOI: 10.1016/j.nxener.2024.100107

    • Contributors: Vedat Oruç, Atilla G. Devecioğlu, Derviş B. İlhan

  • 🌬️ An Investigation on the Utilization of R470A for Air-Conditioning Systems Towards 2025

    • Journal: Journal of Advanced Thermal Science Research

    • Date: August 16, 2023

    • DOI: 10.15377/2409-5826.2023.10.1

    • ISSN: 2409-5826

    • Contributors: Atilla G. Devecioğlu, Vedat Oruç

  • 🧊 Soğutma Sistemlerinde R454C Kullanılmasının Deneysel İncelenmesi

    • Journal: Politeknik Dergisi

    • Date: March 27, 2023

    • DOI: 10.2339/politeknik.898828

    • ISSN: 2147-9429

    • Contributors: Atilla Gencer Devecioğlu, Vedat Oruç

  • 🇪🇺 On the Satisfaction of EU F-Gas Regulation Using R455A as an Alternative to R404A

    • Journal: Materials Today: Proceedings

    • Date: 2022

    • DOI: 10.1016/j.matpr.2021.11.506

    • ISSN: 2214-7853

    • Contributors: Atilla G. Devecioğlu, Vedat Oruç

  • ♻️ Drop-in Assessment of Plug-in R404A Refrigeration Equipment Using Low-GWP Mixtures

    • Journal: International Journal of Low-Carbon Technologies

    • Date: July 25, 2022

    • DOI: 10.1093/ijlct/ctac078

    • ISSN: 1748-1325

    • Contributors: Atilla G. Devecioğlu, Vedat Oruç

Conclusion

Prof. Dr. Vedat Oruç’s outstanding publication record, impactful research, and long-standing academic contributions solidify his candidacy for the Best Researcher Award. His work not only advances core areas of mechanical engineering but also provides real-world applications in energy systems and fluid technologies. With a legacy of academic excellence and continued dedication to research, he exemplifies the high standards this award seeks to recognize.

Neyara Radwan | Engineering | Women Researcher Award

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Assoc. Prof. Dr. Neyara Radwan | Engineering | Women Researcher Award

Liwa College - Abu Dhabi Campus, United Arab Emirates

👨‍🎓Profiles

👩‍🏫 Early Academic Pursuits

Neyara Radwan embarked on her academic journey in Egypt, where she completed her Bachelor's degree in Production Engineering & Mechanical Design from Mansoura University. Her early academic pursuits were characterized by a strong foundation in engineering principles, leading to her Bachelor's project on designing belt conveyors for Belkas Sugar Factory. She further honed her expertise with a Master's degree in Production Engineering & Mechanical Design, from the same institution. The focus of her Master's thesis was on the "Utilization of Computer-Aided Expert System for Power Transmission Shaft Design," a work that would lay the groundwork for her future research. In 2008, she earned her Ph.D. in Production Engineering from Benha University, Egypt, with a thesis titled “CAD of Electro-Chemical Honing Machining and Statistical Modeling for Selection of Parameters Influencing Electro-Chemical Honing Process." This work demonstrated her expertise in advanced manufacturing techniques and solidified her role as a leading academic in the field.

🏢 Professional Endeavors

Throughout her career, She has held various academic and leadership positions across multiple institutions globally. She has been a Full-time Associate Professor at Liwa College, Abu Dhabi, UAE, as well as a Full-time Associate Professor in the Mechanical Department at Suez Canal University, Additionally, she has served at prestigious institutions such as Al Mareefa University, KSA, and King Abdul-Aziz University, KSA, where she was involved in quality assurance and Ph.D. program development. Her versatility is reflected in her work at both full-time and part-time capacities at institutions like the High Institute for Industrial Building and Production Technology and the Specialized Studies Academy in Egypt, marking her as a well-rounded academic professional with vast international experience.

🧑‍🔬 Contributions and Research Focus

Her research interests span across a wide range of fields, including Optimization, Lean Manufacturing, Sustainability, Supply Chain Management, and Solid Waste Management. Her focus on the application of Artificial Intelligence (AI) in manufacturing processes and energy systems has made significant contributions to both the theoretical and practical aspects of these disciplines. She has contributed to sustainable engineering systems by optimizing operation and enhancing renewable energy technologies. Her work emphasizes optimal scheduling operations, integration of AI for operational efficiency, and advancing quality management practices in industrial environments.

🌍 Impact and Influence

Her academic and professional influence extends globally through her work in teaching, research, and industry applications. Her contributions have been recognized in various prestigious awards, including the Certificate of Excellence as Best Global Educator and the Global Award from the International Research Academy of Science and Arts (IRASA). She has impacted both the academic community and industry by promoting sustainability, energy efficiency, and circular economy approaches, notably in Saudi Arabia's Vision 2030 waste management goals. Through her numerous awards, including the Golden Academic Award from Tradepreneur Global (2022), she has established herself as a leading voice in engineering education and research. Her extensive list of citations and publications further amplifies her reach and impact in the global academic community.

📚 Academic Cites and Research Recognition

Her research has garnered substantial recognition, with her contributions being cited extensively across various journals and international conferences. Her work on optimization and sustainable engineering has been pivotal in developing better operational strategies in industrial systems, contributing to both academic literature and real-world applications. She has received multiple research excellence awards from universities like Suez Canal University, highlighting her dedication to advancing knowledge in production engineering and sustainable systems.

🧰 Technical Skills

She is proficient in a diverse set of technical skills related to industrial and production engineering, including Optimization Algorithms, Lean Manufacturing Techniques, and AI Applications in Engineering Systems. She has applied these skills to enhance operational efficiency, improve quality management, and design sustainable energy systems. Her expertise also spans across renewable energy technologies, systems operation, and optimal scheduling, making her a significant contributor to both energy and manufacturing industries.

👨‍🏫 Teaching Experience

She has an extensive teaching career, spanning over two decades, during which she has mentored undergraduate and graduate students across various academic institutions in Egypt, the UAE, Saudi Arabia, and beyond. Her role as an educator has not only involved teaching core engineering concepts but also guiding students in conducting high-impact research in optimization, sustainable manufacturing, and energy systems. Her teaching approach integrates practical applications with theoretical knowledge, preparing her students to tackle real-world challenges in industrial management and engineering.

🌟 Legacy and Future Contributions

Her legacy in academia and research is defined by her commitment to promoting sustainability and innovation in engineering. She has significantly contributed to research in the fields of renewable energy, lean manufacturing, and artificial intelligence, making strides toward more efficient and environmentally friendly industrial practices. Moving forward, She is dedicated to advancing the field of sustainable engineering through interdisciplinary research that bridges technology, management, and energy systems. She aims to continue her legacy by mentoring the next generation of engineers and contributing to global sustainability goals, particularly in the context of waste management and circular economy approaches.

🏅 Awards and Recognition

Her exceptional contributions to education and research have been recognized through numerous awards. Some of her notable accolades include: Excellence Award from the Faculty of Economics and Administration at King Abdulaziz University, Global Award for Most Outstanding Engineering Educator, Golden Academic Award from Tradepreneur Global, Global Academic Excellence Award from ICWP, Global Service to Humanity Award from ADlafrica,

📖Notable Publications

  1. Computational Analysis of MHD Nanofluid Flow Across a Heated Square Cylinder with Heat Transfer and Entropy Generation
    • Authors: Madhu Sharma, Bhupendra K. Sharma, Chandan Kumawat, Arun K. Jalan, Neyara Radwan
    • Journal: Acta Mechanica et Automatica
    • Year: 2024
  2. The Varying Viscosity Impact in an Inclined Peristaltic Channel with Diffusion‐Thermo and Thermo‐Diffusion
    • Authors: Anum Tanveer, Sharak Jarral, A. Al‐Zubaidi, Salman Saleem, Neyara Radwan
    • Journal: ZAMM - Journal of Applied Mathematics and Mechanics
    • Year: 2024
  3. Applications of Lubrication Approximation Theory in the Analysis of the Roll‐Coating Using a Tangent Hyperbolic Fluid Model
    • Authors: Hafiz Muhammad Atif, Iffat Zaka, Neyara Radwan, Muhammad Asif Javed, Mubbashar Nazeer, Salman Saleem
    • Journal: ZAMM - Journal of Applied Mathematics and Mechanics
    • Year: 2024
  4. Chromium Contamination and Effect on Environmental Health and Its Remediation: A Sustainable Approaches
    • Authors: Shiv Prasad, Krishna Kumar Yadav, Sandeep Kumar, Neha Gupta, Marina M.S. Cabral-Pinto, Shahabaldin Rezania, Neyara Radwan, Javed Alam
    • Journal: Journal of Environmental Management
    • Year: 2021
  5. Strength and Flexural Behavior of Steel Fiber and Silica Fume Incorporated Self-Compacting Concrete
    • Authors: Abdalla M. Saba, Afzal Husain Khan, Mohammad Nadeem Akhtar, Nadeem A. Khan, Seyed Saeid Rahimian Koloor, Michal Petrů, Neyara Radwan
    • Journal: Journal of Materials Research and Technology
    • Year: 2021
  6. Measuring Industrial Symbiosis Index Using Multi-Grade Fuzzy Approach
    • Authors: Kalyan C., Abhirama T., Mohammed N.R., Aravind Raj S., Jayakrishna K.
    • Journal: Lecture Notes in Mechanical Engineering
    • Year: 2019