Mert Karahan | Electromagnetic | Best Researcher Award

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Best Researcher Award

Mert Karahan
National Defence University

                          Mert Karahan
Affiliation National Defence University
Country Turkey
Scopus 57044421100
Documents 44
Citations 46
h-index 4
Subject Area Electromagnetic
Event World Top Scientist Awards
ORCID 0000-0003-2884-9623

The Best Researcher Award recognizes outstanding scholarly contributions in the field of electromagnetic engineering and related disciplines. Mert Karahan, an academic affiliated with the National Defence University, has been acknowledged for his research excellence, particularly in antenna design, frequency selective surfaces, and advanced communication systems [1].

Abstract

This article outlines the academic achievements of Mert Karahan and evaluates his suitability for the Best Researcher Award. His work spans electromagnetic engineering, satellite communication systems, and antenna technologies, demonstrating a consistent research trajectory with measurable scholarly output [1].

Keywords

Electromagnetic Engineering; Antenna Design; Frequency Selective Surfaces; Satellite Communications; Electronic Warfare; CubeSat Systems

Introduction

Academic awards serve as formal recognition of significant contributions to scientific advancement. The Best Researcher Award evaluates scholarly productivity, innovation, and impact across specialized domains. Mert Karahan’s research portfolio demonstrates a focus on applied electromagnetic systems and communication technologies relevant to both academic and defense sectors [1].

Research Profile

Mert Karahan is an Assistant Professor specializing in electronics and communication engineering. His academic background includes degrees in electrical and electronics engineering, supported by research in antenna systems, propagation, and electronic warfare technologies. His work integrates theoretical modeling with applied engineering practices [1].

Research Contributions

  • Development of frequency selective surfaces for communication systems
  • Design of wideband and reconfigurable antennas
  • Applications of deep learning in electronic warfare
  • Satellite communication innovations using CubeSat technologies

Publications

Mert Karahan has contributed to the field of electromagnetic engineering through a series of peer-reviewed journal articles and conference papers that emphasize antenna design, frequency selective surfaces, and advanced communication systems. His recent publications include a high-efficiency wideband reflectarray developed for CubeSat deep-space communications, as well as research on deep learning approaches for emitter identification in electronic warfare environments. Additional studies address GaN-based MMIC high-power amplifiers and compact frequency selective surface designs for wireless communication applications. Collectively, these works reflect a consistent focus on integrating theoretical electromagnetic analysis with practical engineering solutions, contributing to both academic literature and applied technological development [1].

Research Impact

Karahan’s research has contributed to advancements in communication systems and electromagnetic design methodologies. His publications demonstrate cross-disciplinary integration, combining engineering, signal processing, and computational techniques. The citation metrics reflect a growing influence in specialized engineering domains [1].

Award Suitability

The Best Researcher Award criteria emphasize originality, measurable impact, and sustained academic contribution. Mert Karahan’s profile aligns with these criteria through consistent publication output, specialized expertise, and applied research outcomes in electromagnetic engineering and communication systems.

Conclusion

Mert Karahan represents a developing academic profile within electromagnetic engineering, with research contributions spanning theoretical and applied domains. His work supports his candidacy for recognition through the Best Researcher Award.

References

  1. ORCID. (n.d.). Research profile of Mert Karahan (0000-0003-2884-9623).
    https://orcid.org/0000-0003-2884-9623

Ling Xu | Engineering | Young Scientist Award | 4273

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Assoc. Prof. Dr. Ling Xu | Engineering | Young Scientist Award

Teacher | Fuzhou University | China

Assoc. Prof. Dr. Ling Xu is an Associate Professor at the College of Civil Engineering, Fuzhou University, specializing in transportation infrastructure construction, pavement materials, and maintenance engineering. He holds a doctorate in Transportation Engineering, a visiting scholarship in civil infrastructure research, and a bachelor’s degree in Civil Engineering, providing a solid academic foundation in pavement mechanics, material behavior, and life-cycle performance. His professional experience includes contributing to national and industry-funded projects on polyurethane concrete runway overlays, rubberized asphalt durability, high RAP mixture cracking mechanisms, high-speed railway waterproofing layers, and flexible interlayer systems for airfield pavements. His research focuses on low-carbon pavement materials, road maintenance technologies, numerical simulation, data mining, image processing, and life-cycle analysis, leading to impactful publications in high-ranking international journals on asphalt modification, pavement sustainability, thermal-mechanical behavior, and innovative maintenance materials. Recognized with a Young Scientist Award, he has also contributed to the academic community through editorial and review activities, professional memberships, and active participation in interdisciplinary research collaborations.

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Featured Publications

Md Ataur Rahman | Mechanical Enginnering | Excellence in Research Award

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Prof. Md Ataur Rahman | Mechanical Enginnering | Excellence in Research Award

Professor | Eastern Michigan University | United States

Professor Md Ataur Rahman is a faculty member in the GameAbove College of Engineering and Technology at Eastern Michigan University, where his research centers on automotive engineering, electric mobility, and intelligent mechanical systems. His academic foundation includes a PhD in Automotive Engineering from Universiti Putra Malaysia, an Executive MBA in Techno-Entrepreneurship jointly awarded by Cranfield University and Universiti Teknologi Malaysia, and a Bachelor of Science in Mechanical Engineering from Chittagong University of Engineering and Technology. His research portfolio integrates advanced electric vehicle technologies, intelligent control systems, adaptive machine-learning models, and sustainable transportation solutions. He has contributed to the development of novel electric propulsion systems, energy-efficient drivetrains, smart supercapacitors, and intelligent gearboxes, supported by multidisciplinary collaborations and strong publication output. His work in prototype development and technology commercialization bridges academia and industry, informed by his experience in electric vehicle design, electrification consultancy, and automated tractor system innovation. He also provides leadership in research mentoring, grant proposal development, and engineering program enhancement, fostering impactful research culture and interdisciplinary innovation. A Chartered Engineer and active member of ASME and SAE, he is recognized for his contributions to advancing electric mobility research, intelligent mechanical design, and future-focused engineering technologies.

Citation Metrics (Scopus)

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Top 5 Featured Publications

 

Feng Xiang | Mechanical Engineering | Best Researcher Award

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Prof. Dr. Feng Xiang | Mechanical Engineering | Best Researcher Award

Professor | Wuhan University of Science and Technology | China

Prof. Dr. Xiang Feng, Vice Dean, Professor, and Doctoral Supervisor in the School of Mechanical Engineering at Wuhan University of Science and Technology, is a distinguished scholar in manufacturing intelligent services, digital twins, and green manufacturing, holding advanced degrees in mechanical engineering with a specialization aligned to intelligent manufacturing systems. With extensive professional experience, he has led major national, provincial, and industrial research initiatives as principal investigator of multiple NSFC projects as well as key programs supported by leading government and industry bodies, while contributing significant academic leadership as a co-initiator of the National Conference on Digital Twins and Intelligent Services. His research has produced influential advancements in digital-twin-enabled intelligent service systems and sustainable manufacturing, reflected in more than thirty publications in top-tier journals including IEEE Transactions on Industrial Informatics, Journal of Manufacturing Systems, International Journal of Advanced Manufacturing Technology, Advanced Intelligent Systems, CIMS, China Mechanical Engineering, and Scientia Sinica Informationis, alongside six granted invention patents and co-editorship of three English monographs on digital twins. Prof. Feng’s academic service is equally distinguished: he serves on national expert committees for digital-twin and manufacturing-service standards, acts as an Advisory Board Member of the high-impact journal Digital Twin, contributes as an Editorial Board Member of Digital Engineering, and holds leadership roles such as Deputy Secretary-General of the Digital Twin Application Branch of the China Productivity Promotion Center Association. Recognized for his scientific contributions, he is a recipient of the First Prize of the Mechanical Industry Science and Technology Award, underscoring his sustained impact on advancing intelligent manufacturing and digital-twin technologies.

Profiles: Scopus | ORCID

Featured Publications

1. Inverse kinematics solution for demolition robot manipulators based on improved Newton–Raphson algorithm. (2025). Concurrency and Computation: Practice and Experience.

2. A federated learning-based method for personalized manufacturing service recommendation with collaborative relationships. (2025). Applied Soft Computing.

3. Human-centric smart manufacturing: Analysis and prospects of human activity recognition. (2025). Journal of Mechanical Engineering (Jixie Gongcheng Xuebao).

4. Analysis and control of manufacturing service collaboration networks failure under intentional attacks. (2025). Knowledge-Based Systems.

5. Modeling and optimization of manufacturing service collaboration based on digital twins. (2025). International Journal of Advanced Manufacturing Technology.

Prof. Dr. Xiang Feng’s pioneering research in digital twins and intelligent manufacturing enhances the scientific foundations of smart industrial systems while driving practical advancements in sustainable, efficient, and human-centric production. His innovations bridge academic discovery and industrial application, shaping next-generation manufacturing technologies that strengthen global competitiveness and accelerate digital transformation.

Chang Soo Kim | Engineering | Best Researcher Award

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Prof. Chang Soo Kim | Engineering | Best Researcher Award

Professor | Pukyong National University | South Korea

Professor. Chang Soo Kim is a distinguished Full Professor in the Division of Computer and AI Engineering at PuKyong National University, recognized for his expertise in intelligent manufacturing systems, artificial intelligence, and computational optimization. He holds advanced degrees in computer science with specialization in AI-driven optimization and machine learning, forming the foundation for his multidisciplinary research career. Throughout his long-standing academic tenure, he has served in key leadership roles including department chair, graduate program administrator, research center director, and executive leader for university–industry cooperation, successfully guiding large-scale projects, fostering collaborative innovation, and advancing strategic academic initiatives. His research focuses on flexible job shop scheduling, deep learning–based fault diagnosis, time-series forecasting, metaheuristic optimization, and smart industrial systems. He has produced an extensive portfolio of influential publications in high-impact SCI-indexed journals, contributing novel hybrid algorithms, trainable fusion strategies, adaptive scheduling frameworks, lightweight diagnostic models, and intelligent computational methods that support the evolution of smart manufacturing and data-driven engineering. His scholarly achievements have earned him multiple recognitions, including awards for research excellence, and he actively contributes to the global academic community through editorial service, participation in professional societies, and engagement in scientific committees. With a sustained record of innovative research, academic leadership, and impactful contributions to computer and AI engineering, Professor Chang Soo Kim exemplifies the qualities of a leading researcher whose work continues to influence both industry and academia.

Profiles:  Scopus

Featured Publications

1. Kim, C. S., et al. (2025). Flexible job shop scheduling optimization with multiple criteria using a hybrid metaheuristic framework. Processes.

2. Kim, C. S., et al. (2025). Multi-branch global Transformer-assisted network for fault diagnosis. Applied Soft Computing.

3. Kim, C. S., et al. (2025). DL-MSCNN: A general and lightweight framework for fault diagnosis with limited training samples. Journal of Intelligent Manufacturing.

4. Kim, C. S., et al. (2025). Enhanced quantum-based DNA sequence alignment with noise handling and error detection. IEEE Access.

5. Kim, C. S., et al. (2024). GAILS: An effective multi-object job shop scheduler based on genetic algorithm and iterative local search. Scientific Reports.

Professor Chang Soo Kim’s pioneering research in intelligent manufacturing, AI-driven optimization, and fault diagnosis advances the scientific foundations of smart industry while enabling more efficient, reliable, and data-driven production systems. His innovative computational frameworks and adaptive algorithms contribute directly to industrial digital transformation, fostering technological competitiveness and sustainable global innovation.

Weitao Yue | Engineering | Research Excellence Award

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Dr. Weitao Yue | Engineering | Research Excellence Award

China University of Mining and Technology | China

Dr. Weitao Yue is a Ph.D. candidate in Safety Science and Engineering at the China University of Mining and Technology, recognized for his specialization in coal and rock dynamic disaster prevention and control. With an academic foundation centered on advanced safety engineering and a research focus on hazardous dynamic phenomena in mining environments, he has developed strong expertise in the investigation of disaster mechanisms, monitoring technologies, early-warning strategies, and innovative control methods. His professional experience includes substantial involvement in major national scientific projects, where he has taken on core research roles involving theoretical modeling, experimental system development, large-scale data analysis, and interdisciplinary coordination. Through these efforts, he has demonstrated leadership, technical depth, and the ability to drive complex research tasks toward impactful outcomes. Dr. Yue has published multiple high-quality SCI papers as first or corresponding author in internationally renowned journals, with several works recognized among the most globally cited in the field, reflecting his rising academic influence and contribution to advancing coal mine safety science. His research achievements have earned significant academic recognition, further supported by his participation in professional research communities and contributions to collaborative scientific endeavors. Known for integrating theoretical insight with practical application, he consistently delivers research that supports safer mining operations and enhances scientific understanding of dynamic disasters. His growing portfolio of accomplishments, strong methodological capabilities, and commitment to scientific innovation position him as a promising researcher with substantial potential for future leadership and continued contribution to the safety engineering discipline.

Profiles:  Scopus

Featured Publications

1. [Authors not provided]. (2026). Failure mechanisms of fault fracture zone under dynamic loading. Engineering Failure Analysis.

Tun Naw Sut | Chemical Engineering | Best Researcher Award

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Dr. Tun Naw Sut | Chemical Engineering | Best Researcher Award

Sungkyunkwan University | South Korea

Dr. Tun Naw Sut is a postdoctoral fellow specializing in nanomedicine, biomimetic membranes, and bio-sensing technologies, recognized for his interdisciplinary expertise and impactful research contributions. He holds dual doctoral training in nanomedicine and chemical engineering, supported by prior qualifications in materials science and biomedical engineering, forming a strong foundation for his work at the interface of engineering, biotechnology, and nanomaterials. His professional experience spans academic research, diagnostic platform development, electrochemical biomarker detection, phospholipid self-assembly studies, and compliance testing of medical electrical equipment, reflecting both scientific depth and industry-relevant technical capability. Dr. Sut’s research focuses on lipid-based nanomaterials, membrane biophysics, antimicrobial lipids, diagnostic sensors, and therapeutic nanoplatforms, and he has authored numerous publications in high-impact journals that advance the understanding and application of functional biomimetic systems. His leadership includes serving as guest editor and topic editor for international journals, contributing to the curation of scholarly work in biomimicry, functional materials, and membrane science. He has been recognized through competitive research grants, academic scholarships, and editorial appointments that highlight his innovation, scientific rigor, and growing influence in the field. Through his combined research excellence, interdisciplinary training, and dedication to advancing diagnostic and therapeutic technologies, Dr. Sut demonstrates exceptional potential for continued contributions to scientific innovation and research leadership.

Profiles: Scopus | ORCID

Featured Publications

1. Molla, A., Sut, T. N., Yoon, B. K., & Jackman, J. A. (2025). Headgroup-driven binding selectivity of alkylphospholipids to anionic lipid bilayers. Colloids and Surfaces B: Biointerfaces.

2. Lee, C. J., Jannah, F., Sut, T. N., Haris, M., & Jackman, J. A. (2025). Curvature-sensing peptides for virus and extracellular vesicle applications. ACS Nano.

3. Kim, D., Baek, H., Lim, S. Y., Lee, M. S., Lyu, S., Lee, J., Sut, T. N., Gonçalves, M., Kang, J. Y., Jackman, J. A., & Kim, J. W. (2025). Mechanobiologically engineered mimicry of extracellular vesicles for improved systemic biodistribution and anti-inflammatory treatment efficacy in rheumatoid arthritis. Advanced Healthcare Materials.

4. Ruano, M., Sut, T. N., Tan, S. W., Mullen, A. B., Kelemen, D., Ferro, V. A., & Jackman, J. A. (2025). Solvent-free microfluidic fabrication of antimicrobial lipid nanoparticles. ACS Applied Bio Materials.

5. Hwang, Y., Zhao, Z. J., Shin, S., Sut, T. N., Jackman, J. A., Kim, T., Moon, Y., Ju, B. K., Jeoni, J. H., Cho, N. J., & Kim, M. (2025). Nanopot plasmonic sensor platform for broad spectrum virus detection. Chemical Engineering Journal.

Dr. Tun Naw Sut’s work advances next-generation diagnostic and therapeutic technologies through innovative biomimetic membrane engineering and lipid-based nanomaterials. His research contributes to global health by enabling more effective pathogen detection, improved targeted delivery systems, and transformative strategies for sensing and treating complex diseases.

Sayyid Ali Banihashemi | Engineering | Editorial Board Member

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Assist. Prof. Dr. Sayyid Ali Banihashemi | Engineering | Editorial Board Member

Faculty Member | Payame Noor University | Iran

Assist. Prof. Dr. Sayyid Ali Banihashemi, Associate Professor in the Department of Industrial Engineering at Payame Noor University, is a recognized scholar specializing in project scheduling, data envelopment analysis, supply chain management, and organizational agility. He holds advanced degrees in industrial engineering with a concentration in operations research and performance evaluation, complemented by rigorous training in quantitative decision-making. His professional experience includes leading academic programs, supervising research initiatives, and contributing to major analytical and optimization projects that support organizational and operational improvement. Dr. Banihashemi’s research portfolio encompasses influential publications, high-impact citations, and methodological advancements that have shaped contemporary practices in project planning efficiency, productivity assessment, and supply chain performance. His scholarly contributions are further reflected in editorial responsibilities for reputable journals, memberships in distinguished professional societies, and certifications in advanced analytical methods. Widely cited and respected in his field, he has earned multiple recognitions for research excellence, academic service, and contributions to the industrial engineering community, establishing him as a dedicated leader committed to advancing theory and practice in operations and performance management.

Profiles: Google Scholar

Featured Publications

1. Dahmardeh, N., & Banihashemi, S. A. (2010). Organizational agility and agile manufacturing. European Journal of Economics, Finance and Administrative Sciences, 27, 178–184.

2. Banihashemi, S. A. (2011). The role of communication to improve organizational process. European Journal of Humanities and Social Sciences, 1(1), 13–24.

3. Banihashemi, S. A., Khalilzadeh, M., Shahraki, A., Malkhalifeh, M. R. M., & others. (2020). Optimization of environmental impacts of construction projects: A time–cost–quality trade-off approach. International Journal of Environmental Science and Technology, 1–16.

4. Banihashemi, S. A., & Khalilzadeh, M. (2021). Time-cost-quality–environmental impact trade-off resource-constrained project scheduling problem with DEA approach. Engineering, Construction and Architectural Management, 28(7), 1979–2004.

5. Banihashemi, S. A., Khalilzadeh, M., Antucheviciene, J., & Edalatpanah, S. A. (2023). Identifying and prioritizing the challenges and obstacles of green supply chain management in the construction industry using the fuzzy BWM method. Buildings, 13(1), 38.

Dr. Sayyid Ali Banihashemi’s work advances scientific and industrial practice by integrating optimization, sustainability, and performance evaluation to improve project delivery and supply chain systems. His research supports data-driven decision-making that enhances organizational efficiency, reduces environmental impacts, and strengthens the resilience and agility of modern industries.

Dongfeng Qi | Engineering | Best Researcher Award

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Prof. Dongfeng Qi | Engineering | Best Researcher Award

Professor | Shandong University of Technology | China

Prof. Dongfeng Qi is a leading researcher in laser manufacturing and material processing, specializing in femtosecond and nanosecond laser applications for advanced materials and flexible electronics. His work integrates theoretical modeling with experimental techniques to develop innovative micro- and nanostructures, including copper and silicon-based materials, phase-change films, and smart electronic devices. Prof. Qi has made substantial contributions to understanding laser-material interactions and patterning technologies, with high-impact publications in top-tier journals. He demonstrates strong interdisciplinary collaboration and mentorship, fostering international research partnerships and the growth of emerging scientists. His research is recognized for both fundamental insights and practical applications in photonics, energy storage, and flexible electronics. Prof. Qi’s consistent innovation, high-quality experimental work, and leadership in the field establish him as a leading figure in laser-based materials science. According to Scopus, he has 535 citations, 71 documents, and an h-index of 13.

Profiles: Scopus | Google Scholar

Featured Publications

1. Programming nanoparticles in multiscale: optically modulated assembly and phase switching of silicon nanoparticle array; L. Wang, Y. Rho, W. Shou, S. Hong, K. Kato, M. Eliceiri, M. Shi, …; ACS Nano, vol. 12, no. 3, pp. 2231–2241, 2018; 39 citations

2. Time-resolved analysis of thickness-dependent dewetting and ablation of silver films upon nanosecond laser irradiation; D. Qi, D. Paeng, J. Yeo, E. Kim, L. Wang, S. Chen, C. P. Grigoropoulos; Applied Physics Letters, vol. 108, no. 21, 2016; 37 citations

3. Femtosecond laser-induced large area of periodic structures on chalcogenide glass via twice laser direct-writing scanning process; X. Yu, Q. Zhang, D. Qi, S. Tang, S. Dai, P. Zhang, Y. Xu, X. Shen; Optics & Laser Technology, vol. 124, 105977, 2020; 34 citations

4. Progress in the design, nanofabrication, and performance of metalenses; Z. Wang, Y. Wu, D. Qi, W. Yu, H. Zheng; Journal of Optics, vol. 24, no. 3, 033001, 2022; 31 citations

5. Progress in preparation and applications of Te-As-Se chalcogenide glasses and fibers; Z. Wu, Y. Xu, D. Qi, Q. Nie, X. Zhang; Infrared Physics & Technology, vol. 102, 102981, 2019; 31 citations

Ivett Greta Zsak | Engineering | Best Researcher Award

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Ms. Ivett Greta Zsak | Engineering | Best Researcher Award

Ivett Greta Zsak | Technical University of Cluj-Napoca | Romania

Ms. Ivett-Gréta Zsák is an accomplished architect, lecturer, and PhD candidate with a strong focus on sustainable architecture, heritage preservation, and adaptive design. She has developed innovative frameworks, notably the Building Identity Passport for prefabricated housing rehabilitation, reflecting a unique integration of health, community engagement, and building performance. Her work demonstrates a balance between academic rigor and practical implementation, including coordinating heritage interventions and contributing to national architectural guidelines. She has actively participated in international conferences, showcasing thought leadership and fostering cross-cultural collaboration. Her technical proficiency in BIM, AutoCAD, and participatory design tools enhances her research’s practical impact, while her multilingual skills allow effective engagement in diverse academic environments. Recognized with multiple architecture awards, Ms. Zsák exemplifies a researcher whose work bridges theory and practice. Her research is measurable in Scopus, with 2 documents cited by 11 sources and an h-index of 2, demonstrating both productivity and scholarly influence.

Profile: Scopus | ORCID

Featured Publications

1. C. Savu, A.-H. Pescaru, I.-G. Zsak, A.-M. Durgheu, A.-P. Frent, N.-S. Suba, A. S. Buda, and S. Nistor, “Analysis on Using 3D Scanning and BIM to Reduce the Physical and Non-Physical Construction Waste for Sustainable Fireproofing of Steel Trusses,” Sustainability, Feb. 2024.

2. G. I. Zsak, “Ghiduri de arhitectură pentru încadrarea în specificul local din mediul rural,” The Order of Architects of Romania, Mar. 2020.

3. G. I. Zsak, “Regeneration of the industrial heritage in the central area of Oradea,” Materials Science and Engineering, vol. 603, Sep. 2019.