Mr. Mohammad Alibabaei Shahraki | Structural Engineering | Best Researcher Award

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Mr. Mohammad Alibabaei Shahraki | Structural Engineering | Best Researcher Award

Mr. Mohammad Alibabaei Shahraki | Technical and Vocational University | Iran

Mr. Mohammad Alibabaei Shahraki is a distinguished lecturer and researcher at the Technical and Vocational University in Tehran, Iran, specializing in civil engineering with a focus on earthquake engineering, structural dynamics, and structural design. Recognized for his exceptional academic achievements, he was the top student for 12 consecutive semesters and secured a single-digit rank in the national university entrance examination. His research excellence has been acknowledged with the title of Best Researcher in Chaharmahal and Bakhtiari Province, alongside the invention of two notable research innovations. Prof. Shahraki has made significant contributions to the field of structural control and seismic performance enhancement, including pioneering studies on multiple tuned mass dampers, elastoplastic-tuned mass damper-inerters, and the effectiveness of viscous dampers in steel frame structures, with his work published in prominent journals such as Soil Dynamics and Earthquake Engineering and Structures, and presented at international conferences on civil engineering, architecture, and urban planning. With a perfect GPA of 4.00 from Shahrekord University for his Master’s in Civil Engineering, he combines academic rigor with practical expertise, delivering high-quality teaching and research. His scholarly impact includes 60 citations across 44 documents, 4 published works, and an h-index of 2, reflecting his growing influence in earthquake-resistant structural design. Fluent in English, Prof. Shahraki actively engages with global research communities and maintains an ORCID profile to showcase his contributions.

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Featured Publications

Shahraki, M. A., Kamgar, R., & Heidarzadeh, H. (2023). Damage-based design of multiple tuned mass dampers to improve the seismic performance of steel frame structures. Soil Dynamics and Earthquake Engineering, 173, 108062.

Shahraki, M. A., Kamgar, R., & Heidarzadeh, H. (2023). Assessing the seismic behavior of structures controlled with a novel elastoplastic-tuned mass damper inerter considering the effects of soil-structure interactions. Structures, 57, 105265.

Shahraki, M. A., & Chaleshtori, H. S. A. (2025). Comparative analysis of novel non-linear tuned mass damper inerter and traditional tuned mass dampers in steel shear frame structures. International Journal of Structural Stability and Dynamics.

Shahraki, M. A. (2025). Response mitigations of adjacent structure with MPTMD under real and stochastic excitations. Discover Geoscience, 3(47), 1-20.

Alibabaei Shahraki, M. (2025). Cloud drift optimization algorithm as a nature-inspired metaheuristic. Discover Computing, 28(1), 1-28.

 

Mr. Ahmad Usman | Sustainable Engineering | Best Researcher Award

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Mr. Ahmad Usman | Sustainable Engineering | Best Researcher Award

Mr. Ahmad Usman | Cranfield University | United Kingdom

Mr. Ahmad Usman is a dedicated PhD student at Cranfield University specializing in coating and corrosion science, with a strong focus on developing advanced materials to protect critical components in power plants under demanding conditions. His research encompasses the fireside-corrosion behavior of thermally sprayed and Ni-based coatings in challenging environments, including chlorine-rich combustion atmospheres, and investigates oxidation, erosion, and wear mechanisms at the microscopic level. Mr. Usman has contributed to advancing knowledge on thermal spray coatings through both academic and industry projects, including his role as Group Innovation Engineer at Welding Alloys Group, UK, and collaborations with the National High Temperature Surface Engineering Centre. He has co-authored book chapters on self-healing elastomers and polymeric paints and coatings, highlighting his expertise in functional polymers. His research interests include real-time monitoring of coating degradation, modeling corrosion kinetics in waste-to-energy (WtE) environments, and optimizing thermal spray coatings to resist high-temperature corrosion, erosion, and wear damage. With a growing citation record and an h-index of 2, Mr. Usman is an active member of the Institute of Corrosion and the Pakistan Engineering Council, demonstrating his commitment to both academic excellence and industrial innovation, while consistently exploring innovative solutions to extend the lifespan and reliability of critical energy infrastructure.

Profile: Orcid

Featured Publications

Usman, A., Syed, A., Isern Arrom, L., Nicholls, J., & Cordero, M. (2024, September 5). Degradation of novel coating systems for heat exchanger materials for WtE power plant applications [Conference poster]. EUROCORR 2024, Cranfield University.

Rehan, Z. A., & Usman, A. (2023). Polymeric paints and coatings. In Advanced Functional Polymers. Springer.

Zubair, Z., Usman, A., & Hafeez, A. (2023). Self-healing elastomers. In Advanced Functional Polymers. Springer.

Usman, A. (2021, December 8). Fabrication of low emissivity paint thermal/NIR radiation insulation for domestic applications [Conference poster]. 1st International Conference of Polymers and Composites (ICPC-2021).

Usman, A., Isern Arrom, L., Nicholls, J., Cordero, M., & Syed, A. U. (2025). Fireside corrosion behavior of thermally sprayed coatings for waste-to-energy power plant applications. Journal of Materials Engineering and Performance.

Dr. Mulugundam Siva Surya | Advanced Composites | Best Researcher Award

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Dr. Mulugundam Siva Surya | Advanced Composites | Best Researcher Award

Dr. Mulugundam Siva Surya | GITAM University | India

Dr. Mulugundam Siva Surya is an accomplished academic and researcher currently serving as an Assistant Professor at GITAM University, Hyderabad, with a strong commitment to teaching and advancing research in mechanical and manufacturing engineering. He earned his PhD from JNTU Anantapur in 2022, following an M.Tech in Manufacturing Engineering from the National Institute of Technology, Warangal, and a B.Tech in Mechanical Engineering from KSRM College of Engineering, Kadapa. Dr. Mulugundam began his academic career as a Lecturer in the Mechanical Engineering Department at Rajiv Gandhi University, Hyderabad, from 2010 to 2013, and has since been dedicated to mentoring students and contributing to innovative research. With 557 citations from 421 documents, 33 publications, and an h-index of 16, his work reflects a strong impact in mechanical and materials engineering. [Scopus ID: 57194031396; ORCID: 0000-0003-2960-7298]. His research expertise includes composite materials, functionally graded materials, and thermal protection systems. He holds an Indian patent (No. 468849) for developing a novel method to fabricate layered Al7075/SiC functionally graded materials using powder metallurgy. He has also served as Co-Principal Investigator for two DRDO-funded projects under the CARS scheme, focusing on experimental and finite element design optimization of epoxy-based composites and AI-driven multi-scale simulations of ablative thermal protection systems for missile nose cones.

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Featured Publications

Mulugundam, M. S., & Gugulothu, S. K. (2023). Fabrication, mechanical and wear characterization of silicon carbide reinforced aluminium 7075 metal matrix composite. Silicon, 14(5), 2023–2032.

Nutakki, P. K., Gugulothu, S. K., Ramachander, J., & Sivasurya, M. (2022). Effect of n-amyl alcohol/biodiesel blended nano additives on the performance, combustion and emission characteristics of CRDi diesel engine. Environmental Science and Pollution Research, 29(1), 82–97.

Ramachander, J., Gugulothu, S. K., Sastry, G. R. K., Panda, J. K., & Surya, M. S. (2021). Performance and emission predictions of a CRDI engine powered with diesel fuel: A combined study of injection parameters variation and Box-Behnken response surface methodology. Fuel, 290, 120069.

Surya, M. S., Prasanthi, G., & Gugulothu, S. K. (2021). Investigation of mechanical and wear behaviour of Al7075/SiC composites using response surface methodology. Silicon, 13(7), 2369–2379.

Surya, M. S., & Prasanthi, G. (2022). Effect of SiC weight percentage on tribological characteristics of Al7075/SiC composites. Silicon, 14(3), 1083–1092.

Mulugundam, T. V. N. Siva Surya. (2019). Synthesis and mechanical behaviour of (Al/SiC) functionally graded material using powder metallurgy technique. Materials Today: Proceedings, 18(7), 3501–3506.

Mr. Victor Omeke | Wireless Sensor Networks | Best Researcher Award

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Mr. Victor Omeke | Wireless Sensor Networks | Best Researcher Award

Mr. Victor Omeke | Nigerian defence academy | Nigeria

Mr Victor Omeke is a dedicated graduate student and researcher at the Nigeria Defence Academy, specializing in Electrical and Electronic Engineering with a strong focus on telecommunications, information and communication technology, and applied artificial intelligence. He holds a Bachelor of Engineering and a Master of Engineering in Electrical and Electronic Engineering (Telecommunications) and is currently pursuing further postgraduate research. Mr Victor Omeke has developed strong expertise in MATLAB-based simulations, wireless sensor networks, and energy-efficient communication systems, with a research record that demonstrates both academic rigor and practical impact. His notable contributions include the design of an energy-efficient wireless sensor network using Simulink, which achieved energy savings of thirteen point four percent and extended battery life by fifteen point four nine percent, providing sustainable solutions for smart cities and precision agriculture. Furthermore, Mr Victor Omeke co-developed an artificial intelligence-driven Global System for Mobile Communication Alerting System that achieved an accuracy rate of eighty-six point zero eight percent in fraud detection, offering significant improvements in financial cybersecurity and anti-money laundering applications. With two published journal papers, multiple completed and ongoing research projects, and professional recognition as an Associate of the International Institute of Safety Management, Mr Victor Omeke demonstrates innovation, sustainability, and problem-solving capacity, positioning him as a promising researcher with strong potential for impactful global contributions.

Profile: Orcid

Featured Publications

Adunola, F. O., Omeke, V. N., Ahmad, A. A., Bunu, A. R., Nkohon, A. J., & Obiajulu, E. (2025, July 31). Energy-efficient wireless sensor network for real-time environmental monitoring: Simulink-based design. Discover Electronics, 2948-1600.

Ndueso, J., Nkohon, A., Mommoh, J., Dakwat, A., Bulama, H., & Omeke, V. N. (2025, May). Development of an artificial intelligence GSM alerting system for mitigating money laundry.

Dr. Xiuyun Zhang | Control Systems Engineering | Best Researcher Award

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Dr. Xiuyun Zhang | Control Systems Engineering | Best Researcher Award

Dr. Xiuyun Zhang | Tianjin University of Technology and Education | China

Dr. Xiuyun Zhang is a lecturer and researcher specializing in motor systems and their control, with a particular emphasis on multi-motor collaborative control. Her teaching covers theoretical foundations such as circuit principles and automatic control principles, while her research explores torque coordination in large-load drives, speed coordination in industrial applications, and position coordination and contour control in high-precision CNC machining. She has published over 20 SCI/EI indexed papers and more than 10 journal publications, with a record of 972 citations from 914 documents, 94 published works, and an h-index of 16. Her innovative contributions are reflected in 16 granted or filed patents, including invention and utility model patents. As a project leader, she has directed research supported by the Tianjin Natural Science Foundation Youth Project, the Tianjin Higher Education Science and Technology Development Fund, an invention patent conversion initiative, and several horizontal projects, while also contributing as a main researcher to a National Natural Science Foundation general project. With more than five completed or ongoing research projects, her work focuses on developing predictive and interactive control strategies that use speed and current as internal system variables, aiming to improve collaborative control accuracy and dynamic response in advanced motor applications.

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Featured Publications

  • Zhang, R., Zong, Q., Zhang, X., Dou, L., & Tian, B. (2022). Game of drones: Multi-UAV pursuit-evasion game with online motion planning by deep reinforcement learning. IEEE Transactions on Neural Networks and Learning Systems, 34(10), 7900–7909.

  • Wang, D., Zong, Q., Tian, B., Shao, S., Zhang, X., & Zhao, X. (2018). Neural network disturbance observer-based distributed finite-time formation tracking control for multiple unmanned helicopters. ISA Transactions, 73, 208–226.

  • Dou, L., Cai, S., Zhang, X., Su, X., & Zhang, R. (2022). Event-triggered-based adaptive dynamic programming for distributed formation control of multi-UAV. Journal of the Franklin Institute, 359(8), 3671–3691.

  • Liu, D., Dou, L., Zhang, R., Zhang, X., & Zong, Q. (2022). Multi-agent reinforcement learning-based coordinated dynamic task allocation for heterogeneous UAVs. IEEE Transactions on Vehicular Technology, 72(4), 4372–4383.

  • Ye, L., Zong, Q., Tian, B., Zhang, X., & Wang, F. (2017). Control-oriented modeling and adaptive backstepping control for a nonminimum phase hypersonic vehicle. ISA Transactions, 70, 161–172.

  • Zhang, X., Zong, Q., Dou, L., Tian, B., & Liu, W. (2020). Finite-time attitude maneuvering and vibration suppression of flexible spacecraft. Journal of the Franklin Institute, 357(16), 11604–11628.

  • Zhang, X., Zong, Q., Dou, L., Tian, B., & Liu, W. (2020). Improved finite-time command filtered backstepping fault-tolerant control for flexible hypersonic vehicle. Journal of the Franklin Institute, 357(13), 8543–8565.

 

 

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.

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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).

 

Dr. Guangxing Guo | Renewable Energy | Best Academic Researcher Award

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Dr. Guangxing Guo | Renewable Energy | Best Academic Researcher Award

Dr. Guangxing Guo | Yangzhou University | China

Dr. Guangxing Guo is a dedicated researcher in the field of wind energy with strong academic training and impactful contributions. He is pursuing a Doctor of Engineering degree at Yangzhou University, focusing on the application of artificial intelligence in wind energy, and also gained international academic exposure as a guest student at Aalborg University, Denmark. He earned a Master of Engineering degree from the Institute of Engineering Thermophysics, Chinese Academy of Sciences, where his research centered on the structural performance of wind turbine blades, and a Bachelor of Engineering in New Energy Science and Engineering from Lanzhou University of Technology. His expertise covers aerodynamics, aeroelastic dynamics, structural dynamics, and computational fluid dynamics. To date, he has published 8 documents, including SCI-indexed works in Composite Structures, Sustainable Energy Technologies and Assessments, and Energies. His research has received 90 citations by 75 documents, with an h-index of 5, demonstrating growing academic recognition. He has also presented his work at international conferences, highlighting contributions to wind turbine blade design, wind farm noise reduction, and machine learning-based performance evaluation.

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Featured Publications

Guo, G., Zhu, W., Sun, Z., Fu, S., Shen, W., & Hua, Y. (2025). Large wind turbine blade design with mould sharing concept based on deep neural networks. Sustainable Energy Technologies and Assessments, 73, 104131.

Guo, G., Zhu, W., Zhang, Z., Shen, W., & Chen, Z. (2025). Achieving power-noise balance in wind farms by fine-tuning the layout with reinforcement learning. Energies, 18(18), 5019.

Guo, G., Zhu, W., Sun, Z., Fu, S., Shen, W., & Cao, J. (2024). An aero-structure-acoustics evaluation framework of wind turbine blade cross-section based on gradient boosting regression tree. Composite Structures, 337, 118055.

Guo, G., Zhu, W., Sun, Z., Shen, W., Cao, J., & Fu, S. (2023). Drag reducer design of wind turbine blade under flap-wise fatigue testing. Composite Structures, 318, 117094.

Zhu, W., Liu, J., Sun, Z., Cao, J., Guo, G., & Shen, W. (2022). Numerical study on flow and noise characteristics of an NACA0018 airfoil with a porous trailing edge. Sustainability, 15(1), 275.

Li, S., Zhang, L., Xu, J., Yang, K., Song, J., & Guo, G. (2020). Experimental investigation of a pitch-oscillating wind turbine airfoil with vortex generators. Journal of Renewable and Sustainable Energy, 12(6), 063304.

Prof. Ragab Mahmoud | Smart Grid Systems | Best Researcher Award

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Prof. Ragab Mahmoud | Smart Grid Systems | Best Researcher Award

Prof. Ragab Mahmoud | Misr University for Science and Technology | Egypt

Prof. Ragab Abd Allah Abd El-Mohsen Mahmoud is a distinguished academic and researcher in the field of Electrical Power and Machines Engineering. He earned his B.Sc. degree in Electrical Power and Machines Engineering from Cairo University in 2001, his M.Sc. degree from Helwan University in 2007 with a thesis on digital busbar protection schemes to avoid current transformer saturation effects, and his Ph.D. degree from Helwan University with research focused on multifunction digital relays for the protection of large synchronous generators. His scholarly contributions are centered on electrical power system protection, relay technologies, and machine engineering, where he has demonstrated both theoretical depth and practical application. With 17 published research documents, 82 citations by 57 documents, and an h-index of 6, Dr. Mahmoud’s work has gained growing recognition in the scientific and engineering communities. His research enhances the reliability, efficiency, and safety of power systems, reflecting his dedication to advancing protection systems and digital relay technologies. By integrating academic expertise with innovative solutions, he continues to contribute to the development of modern electrical engineering practices and has established himself as an influential figure in his specialization at both national and international levels.

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Featured Publications

  • Allah, R. A. (2016). Adaptive busbar differential relaying scheme during saturation period of current transformers based on alienation concept. IET Generation, Transmission & Distribution, 10(15), 3803–3815.

  • Mahmoud, A. M. R. A. (2022). Performance evaluation and discrimination of AODV and AOMDV VANET routing protocols based on RRSE technique. Wireless Personal Communications, 128, 321–344.

  • Allah, R. A. (2018). Correlation-based synchro-check relay for power systems. IET Generation, Transmission & Distribution, 12(5), 1109–1120.

  • Allah, R. A. (2015). Experimental results and technique evaluation based on alienation coefficients for busbar protection scheme. International Journal of Electrical Power & Energy Systems, 73, 943–954.

  • Mahmoud, R. A. (2021). Experimental investigations using quadratic-tripping characteristics based on alienation/coherence coefficients of voltage and current signals for synchronous generators protection. IET Generation, Transmission & Distribution, 15, 2978–3000.

  • Mahmoud, R. A., & Emam, A. (2022). Coherence-based automatic power factor correction (APFC) algorithm for power grids. IET Journal of Engineering, 2022, 512–527.

Prof. Dr. Francisco Vera Garcia| Heat Transfer Analysis | Thermal Sciences Award

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Prof. Dr. Francisco Vera Garcia | Heat Transfer Analysis | Thermal Sciences Award

Prof. Dr. Francisco Vera Garcia | Polytechnic University of Cartagena | Spain

Prof. Dr. Francisco Vera Garcia, Full Professor at the Polytechnic University of Cartagena, is a highly accomplished researcher and educator in the field of thermal and fluid engineering. Born in Paris, France, and currently based in Cartagena, Spain, he leads multiple academic and research initiatives within the Department of Thermal and Fluid Engineering, making significant contributions to the study of heat transfer, thermohydraulic, and energy systems optimization. He is a member of the research group “Advanced Materials for Energy Production and Storage” and was previously part of the group “Modeling of Thermal and Energy Systems.” He has extensive experience in modeling transient processes, multiphase mixtures, and phase change phenomena, with applications that include energy system design, desalination, and sustainable thermal technologies. He has authored 48 publications that have been cited 1,236 times across 1,073 documents, demonstrating the wide recognition and impact of his work. With an h-index of 18 demonstrating sustained scholarly influence. His work exemplifies the combination of rigorous research and real-world problem-solving, establishing him as a leading expert in thermal and fluid system engineering.

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Featured Publications

  • Garcia-Cascales, J. R., Vera-Garcia, F., & Corberan-Salvador, J. M., et al. (2007). Assessment of boiling and condensation heat transfer correlations in the modeling of plate heat exchangers. International Journal of Refrigeration, 30(6), 1029–1041.

  • Mazon-Hernandez, R., Garcia-Cascales, J. R., Vera-Garcia, F., & Kaiser, A. S., et al. (2013). Improving the electrical parameters of a photovoltaic panel by means of an induced or forced air stream. International Journal of Photoenergy, 2013, Article 830968.

  • Rubio, J. A. P., Vera-Garcia, F., Grau, J. H., Camara, J. M., & Hernandez, D. A. (2018). Marine diesel engine failure simulator based on thermodynamic model. Applied Thermal Engineering, 144, 982–995.

  • Illan-Gomez, F., Lopez-Belchi, A., Garcia-Cascales, J. R., & Vera-Garcia, F. (2015). Experimental two-phase heat transfer coefficient and frictional pressure drop inside mini-channels during condensation with R1234yf and R134a. International Journal of Refrigeration, 51, 12–23.

  • Vera-Garcia, F., Garcia-Cascales, J. R., Gonzalvez-Macia, J., Cabello, R., et al. (2010). A simplified model for shell-and-tube heat exchangers: Practical application. Applied Thermal Engineering, 30(10), 1231–1241.

  • Garcia-Cascales, J. R., Vera-Garcia, F., Gonzalvez-Macia, J., et al. (2010). Compact heat exchangers modeling: Condensation. International Journal of Refrigeration, 33(1), 135–147.

  • Lopez-Belchi, A., Illan-Gomez, F., Vera-Garcia, F., & Garcia-Cascales, J. R. (2014). Experimental condensing two-phase frictional pressure drop inside mini-channels: Comparisons and new model development. International Journal of Heat and Mass Transfer, 75, 581–591.

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.

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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.