Jiqing Wang | Engineering | Research Excellence Award

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Dr. Jiqing Wang | Engineering | Research Excellence Award

Beihang University School of Electronic and Information Engineering | China

Dr. Jiqing Wang is an emerging researcher in electronic science and intelligent computing, specializing in high-efficiency deep neural network acceleration and hardware–software co-design. His work bridges algorithm optimization—including model quantization, separable and partial convolution, and multi-scale feature extraction—with RTL-level FPGA/SoC hardware implementations. He has contributed to peer-reviewed, Scopus-indexed research, notably on hardware-friendly joint denoising and demosaicing systems that reduce model complexity while enhancing image quality and computational efficiency. With 29 citations across 24 documents and an h-index of 4, his research demonstrates growing impact in edge AI, computer vision acceleration, and reconfigurable hardware architectures, aligning with early-stage Research Excellence recognition.

Citation Metrics (Scopus)

30

25

20

15

10

5

0

Citations
29

Documents
7

h-index
4

■ Citations
■ Documents
■ h-index


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Featured Publications

Anastasia Feofilova | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Anastasia Feofilova | Engineering | Best Researcher Award

Don State Technical University | Russia

Assoc. Prof. Dr. Anastasia Feofilova is an accomplished researcher in intelligent transport systems, traffic flow prediction, and urban mobility engineering. Her work focuses on advanced AI-driven traffic modeling, including hybrid CNN–LSTM/GRU architectures, attention mechanisms, geoinformation systems in transport logistics, cooperative intelligent transport systems (C-V2X), and the impacts of autonomous vehicles on road network efficiency. She has contributed to peer-reviewed journals and international book chapters, with research published in reputable outlets such as Smart Cities, Sensors, Applied and Computational Engineering, and E3S Web of Conferences. With an established Scopus profile, consistent citation impact, interdisciplinary collaborations, and contributions to software development and educational-methodological outputs, her research demonstrates both scientific rigor and applied societal relevance, particularly in smart city development and road safety enhancement.

Citation Metrics (Scopus)

40

30

20

10

0

Citations
36

Documents
7

h-index
4

■ Citations
■ Documents
■ h-index

View Scopus Profile
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Featured Publications

Gennaro Trancone | Engineering | Innovative Research Award

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Prof. Dr. Gennaro Trancone | Engineering | Innovative Research Award

University of Naples Federico II | Italy

Prof. Dr. Gennaro Trancone is an environmental engineer and researcher whose work spans anaerobic digestion, dark fermentation, biofilm reactor design, biogas optimization, and circular bioeconomy strategies, with strong expertise in asbestos remediation, construction waste valorization, and marine environmental monitoring. His research contributions include advances in renewable biogas production from food waste, optimization of chemical treatments for biomass-based adsorbents, the use of dark fermentation–derived organic acids for concrete waste processing, and integrated chemical–ecotoxicological assessments for marine-coastal systems. He has also explored sediment washing for arsenic removal, environmental implications of micro- and nano-plastics in asphalt materials, and the mobility of toxic elements in foreshore sediments. With 155 citations, 9 published documents, and an h-index of 7, his publications in leading international journals highlight his significant role in environmental biotechnology, sustainable waste management, and the development of eco-innovative solutions for pollution prevention and resource recovery.

Profile:  Scopus | Orcid

Featured Publications

Bounaas, M., Haouichi, M., Gattal, B., Hamza, W., Benalia, A., Derbal, K., Benzina, M., Pizzi, A., Trancone, G., & Panico, A. (2025). Optimization of NaOH chemical treatment parameters for biomass-based adsorbents in cationic dye removal. Processes.

Achouri, O., Bianco, F., Trancone, G., & Race, M. (2025). A critical review of anaerobic biofilm reactors for the renewable biogas production from food waste. Journal of Environmental Chemical Engineering.

Trancone, G., Policastro, G., Spasiano, D., Race, M., Parrino, F., Fratino, U., Fabbricino, M., & Pirozzi, F. (2025). Treatment of concrete waste from construction and demolition activities: Application of organic acids from continuous dark fermentation in moving bed biofilm reactors. Chemical Engineering Journal.

Ferraro, A., Marino, E., Trancone, G., Race, M., Mali, M., Pontoni, L., Fabbricino, M., Spasiano, D., & Fratino, U. (2023). Assessment of environmental parameters effect on potentially toxic elements mobility in foreshore sediments to support marine-coastal contamination prediction. Marine Pollution Bulletin.

Veropalumbo, R., Oreto, C., Viscione, N., Pirozzi, F., Pontoni, L., Trancone, G., Race, M., & Russo, F. (2023). Exploring the effect on the environment of encapsulated micro- and nano-plastics into asphalt mastics for road pavement. Environmental Research.

Abdulaziz Almaktoom | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Abdulaziz Almaktoom | Engineering | Best Researcher Award

Effat University | Saudi Arabia

Assoc. Prof. Dr. Abdulaziz Almaktoom, is a distinguished scholar and leader in Operations and Supply Chain Management, serving as Associate Professor and Chair of the Business Administration Department. With 39 publications, 275 citations, and an h-index of 10, he is recognized among the top 20 scientists in Decision Science and Operations Management in Saudi Arabia. His expertise spans operations management, project management, data analytics, industrial ergonomics, lean and six sigma, quality assurance, risk management, and applied statistics. He has pioneered innovative curriculum development, establishing specialized programs and securing full accreditation from NCAAA and AACSB. Renowned for mentoring students, leading cross-functional teams, and driving industry collaborations, he combines research excellence with impactful teaching. His strategic vision has enhanced academic standards, tripled student enrollment, and supported students’ success, while his consultancy and professional certifications underscore his commitment to advancing operational efficiency, research innovation, and applied solutions across industry and academia.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Merabet, A., Saighi, A., Saad, H., Ferradji, M. A., Laboudi, Z., & Almaktoom, A. T. (2025). AI for colon cancer: A focus on classification, detection, and predictive modeling. International Journal of Medical Informatics, 106115.

Almaktoom, A. T., & Yusuf, N. (2025). Optimizing forecasting techniques for cost-effective procurement of controlled medications in Saudi Arabia’s healthcare system. International Journal of Pharmaceutical and Healthcare Marketing.

Almaktoom, A. T. (2025). Resilience modeling of mobile service for quality assurance. Operations Management Research, 18(1), 182–194.

Sasikumar, A., Ravi, L., Devarajan, M., Selvalakshmi, A., & Almaktoom, A. T. (2024). Corrections to “Blockchain-Assisted Hierarchical Attribute-Based Encryption Scheme for Secure Information Sharing in Industrial Internet of Things.” IEEE Access, 12, 163197–163197.

Bezoui, M., Kermali, A., Bounceur, A., Qaisar, S. M., & Almaktoom, A. T. (2024). Deep reinforcement learning for multiobjective scheduling in Industry 5.0 reconfigurable manufacturing systems. In Machine Learning for Networking: 6th International Conference, MLN 2023

Qing Lyu | Engineering | Best Researcher Award

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Dr. Qing Lyu | Engineering | Best Researcher Award

Wake Forest University School of Medicine | United States

Dr. Qing Lyu is a highly accomplished researcher in biomedical engineering and AI-driven medical imaging, with a strong track record of innovation and scholarly impact. He holds a B.S. and M.S. in Biomedical Engineering from Shanghai Jiao Tong University and a Ph.D. from Rensselaer Polytechnic Institute, where his dissertation focused on deep neural networks for MRI applications. Currently, he serves as Assistant Professor in Radiology and Adjunct Assistant Professor in Biomedical Engineering at Wake Forest University School of Medicine. Dr. Qing Lyu’s research spans MRI and CT super-resolution, multimodal radiomics, deep learning for disease prediction, and AI-based clinical translation. His scholarly output includes 14 documents indexed in Scopus, accruing 594 citations and an h-index of 8, reflecting both quality and influence. He holds multiple patents, has secured competitive grants, and serves on editorial boards while reviewing for top journals and conferences, underscoring his leadership in advancing biomedical imaging, AI, and translational medical research.

Profile: Scopus | Google Scholar

Featured Publications

Lyu, Q., Tan, J., Zapadka, M. E., Ponnatapura, J., Niu, C., Myers, K. J., Wang, G., … & Whitlow, C. (2023). Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: Results, limitations, and potential. Visual Computing for Industry, Biomedicine, and Art, 6(1), 9.

Lyu, Q., Shan, H., Steber, C., Helis, C., Whitlow, C., Chan, M., & Wang, G. (2020). Multi-contrast super-resolution MRI through a progressive network. IEEE Transactions on Medical Imaging, 39(9), 2738–2749.

Lyu, Q., Shan, H., & Wang, G. (2020). MRI super-resolution with ensemble learning and complementary priors. IEEE Transactions on Computational Imaging, 6, 615–624.

Lyu, Q., & Wang, G. (2022). Conversion between CT and MRI images using diffusion and score-matching models. arXiv preprint arXiv:2209.12104.

Niu, C., Li, M., Fan, F., Wu, W., Guo, X., Lyu, Q., & Wang, G. (2022). Noise suppression with similarity-based self-supervised deep learning. IEEE Transactions on Medical Imaging, 42(6), 1590–1602.

Yuh-Ming Ferng | Engineering | Best Researcher Award

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Prof. Yuh-Ming Ferng | Engineering | Best Researcher Award

National Tsing Hua University | Taiwan

Prof. Yuh-Ming Ferng, a distinguished Professor at the Department of Engineering and System Science, Institute of Nuclear Engineering and Science, National Tsing Hua University (NTHU), has made significant contributions to nuclear engineering through his extensive research and academic leadership. He earned his B.S. and Ph.D. in Nuclear Engineering from NTHU, where his doctoral thesis focused on the numerical simulation of the rewetting process. With a professional career spanning over three decades, Prof. Yuh-Ming Ferng has held roles as Assistant, Associate, and Full Professor at NTHU, alongside senior research positions at its Nuclear Science and Technology Development Center and the Center for Energy and Environmental Research, as well as the Institute of Nuclear Energy Research. His research expertise covers nuclear reactor safety, severe accident analysis, CFD turbulence modeling, two-phase flow, thermal management, fuel cell simulation, and renewable energy systems. With 2,470 citations, 168 documents, and an h-index of 30, he is a highly impactful researcher in his field.

Profile: Scopus

Featured Publications

  • Ferng, Y.-M., & co-authors. (2026). Determining minimum site area for deep geological repository of spent fuels using thermal simulations. Annals of Nuclear Energy. Advance online publication.

  • Ferng, Y.-M., & co-authors. (2025). Thermal management design for the Be target of an accelerator-based boron neutron capture therapy system using numerical simulations with boiling heat transfer models. Processes. Advance online publication.

  • Ferng, Y.-M., & co-authors. (2024). Development of thermal-hydraulic coupling model for deep-geological disposal of high-level radioactive wastes. Nuclear Engineering and Design.

  • Ferng, Y.-M., & co-authors. (2024). Numerical model for noise reduction of small vertical-axis wind turbines. Wind Energy Science.

  • Ferng, Y.-M., & co-authors. (2024). Numerical prediction of the aerodynamics and aeroacoustics of a 25 kW horizontal axis wind turbine. Journal of Mechanics.

Hakan Yaykaşlı | Engineering | Best Researcher Award

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Assist. Prof. Dr. Hakan Yaykaşlı | Engineering | Best Researcher Award

Assist. Prof. Dr. Hakan Yaykaşlı | Kahramanmaraş İstiklal University | Turkey

Assist. Prof. Dr. Hakan Yaykaşlı is an accomplished academic specializing in materials science, mechanical engineering, and physics, with a distinguished background in advanced alloys, nanofillers, and composite materials. He holds dual doctoral degrees, one in Mechanical Engineering from Gaziantep University with a focus on nanofillers in hybrid fiber composites, and another in Materials Science and Engineering from Kahramanmaraş Sütçü Imam University, where he studied the structural and mechanical properties of advanced light alloys. He also earned a master’s degree in Physics, exploring the electrical and optical properties of boron-doped thin films, and several bachelor’s degrees in physics, mechanical engineering, and occupational health and safety, along with associate degrees in machinery and emergency disaster management. His academic career includes roles as Specialist, Lecturer, and currently Assistant Professor at Kahramanmaraş İstiklal University. Dr. Yaykaşlı has supervised numerous theses on advanced alloys, nanostructured coatings, and innovative materials, while contributing significantly to teaching, mentorship, and applied research in his field.

Publication Profile

Scopus

Google Scholar

Academic and Professional Journey

Assist. Prof. Dr. Hakan Yaykaşlı is a distinguished scholar with a strong academic background in physics, mechanical engineering, and materials science, reflected through his extensive education and research contributions. He earned a PhD in Mechanical Engineering from Gaziantep University with a thesis on the influence of nanofillers on the fracture and interlaminar shear properties of basalt carbon hybrid fiber reinforced composites, and another PhD in Materials Science and Engineering from Kahramanmaraş Sütçü Imam University, focusing on the structural, thermal, and mechanical properties of advanced AlMgTiB light alloys. His academic journey began with a master’s degree in Physics, where he investigated the electrical and optical properties of boron-doped thin films. He also completed bachelor’s studies in physics, mechanical engineering, and occupational health and safety, along with associate degrees in machinery and emergency disaster management, reflecting his interdisciplinary expertise. Through his academic endeavors, Dr. Yaykaşlı has cultivated a deep understanding of advanced materials, mechanical systems, and applied research, making significant contributions to engineering and science.

Awards and Recognition

Assist. Prof. Dr. Hakan Yaykaşlı has been recognized for his academic contributions and research achievements through prestigious honors that highlight his dedication to advancing science and engineering. Among his notable recognitions is the Publication Incentive Award granted by TÜBİTAK, a highly regarded acknowledgment in Turkey that supports and encourages impactful scientific publications. This award reflects his commitment to producing high-quality research and contributing to the dissemination of knowledge in the fields of mechanical engineering, materials science, and physics. Such recognition not only underlines the academic value of his published works but also demonstrates his ability to align his research with national and international standards of excellence. The award serves as an important milestone in his career, motivating him to further expand his scientific output and continue guiding new research in advanced materials, nanotechnology, and composite structures while inspiring students and colleagues in his field.

Research Focus

Assist. Prof. Dr. Hakan Yaykaşlı’s research focus lies at the intersection of materials science, nanotechnology, and mechanical engineering, with a strong emphasis on the development and characterization of advanced functional materials. His studies explore the mechanical, structural, thermal, optical, and radiation shielding properties of alloys, composites, glasses, and nanomaterials, particularly high entropy alloys, borate and barium-based glasses, and polymer nanocomposites. He has contributed significantly to the field of nanostructured coatings, thin films, and hybrid fiber composites by investigating the role of nanofillers, dopants, and processing techniques on enhancing mechanical strength, fracture resistance, and multifunctional properties. A key area of his expertise is radiation shielding, where he develops innovative glass and alloy systems designed to provide effective protection while maintaining structural integrity. His interdisciplinary approach integrates experimental methods with advanced characterization techniques, contributing to applications in nuclear energy, electronics, aerospace, additive manufacturing, and sustainable engineering materials.

Publication Top Notes

Mechanical and dynamic properties of basalt fiber-reinforced composites with nanoclay particles
Year: 2020 | Citations: 76

Microstructural, thermal, and radiation shielding properties of Al50B25Mg25 alloy prepared by mechanical alloying
Year: 2022 | Citations: 54

Investigation of structural, morphological, mechanical, thermal and optical properties of PVA-ZnO nanocomposites
Year: 2021 | Citations: 35

Investigation of the properties of In doped NiO films
Year: 2014 | Citations: 34

Investigating the PVA/TiO2/CDs polymer nanocomposites: effect of carbon dots for photocatalytic degradation of Rhodamine B
Year: 2022 | Citations: 30

Conclusion

Assist. Prof. Dr. Hakan Yaykaşlı is a strong candidate for the Research for Best Researcher Award. His academic diversity, dual doctoral achievements, and contributions to materials science and mechanical engineering underline his significant role in advancing research. With increased international visibility and expanded research collaborations, he has the potential not only to compete strongly but also to emerge as a leading figure in his discipline, making him a suitable nominee for this recognition.

Mehrdad Esmaeilipour | Engineering | Industry Impact Award

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Mr. Mehrdad Esmaeilipour | Engineering | Industry Impact Award

Mr. Mehrdad Esmaeilipour, Aria Plasma Gostar Pars, Iran

Mr. Mehrdad Esmaeilipour is a results-driven Electronics Engineer with expertise in green technology and sustainable innovation. He currently serves as a Senior Electronics Engineer at Arya Plasma Gostar Pars Company, where he leads the development of advanced air and water purification systems. He is also the founder and CEO of Parsa Pardazesh Booshehr Sanaat Company (PPBS Co.), a successful electronics and IT firm empowering students and young professionals. Mehrdad holds degrees in Electronics Engineering Technology from Islamic Azad University and has authored multiple technical books in English. His notable inventions include a patented smart bracelet for the visually impaired and a cold plasma wastewater treatment system. He has published research in AI, robotics, and control systems, and has been recognized with international awards, including the Best Innovator Award (EBP 2025). As a mentor, speaker, and conference contributor, Mehrdad exemplifies the intersection of environmental sustainability, digital health, and industrial innovation.

Publication Profile

Google Scholar

🎓 Educational Background

Mr. Mehrdad Esmaeilipour possesses a strong academic foundation in electronics, beginning with a Diploma in Electronics from Azadegan Technical High School in 2006, which laid the groundwork for his technical skills and practical understanding of electrical systems. He further advanced his education by earning an Associate’s Degree in Electronics from Islamic Azad University in 2009, where he gained deeper insights into circuit design, microcontroller applications, and system troubleshooting. Demonstrating a commitment to academic and professional growth, he completed his Bachelor’s Degree in Electronics Engineering Technology from the same university in 2012. This program enriched his expertise in advanced electronics, control systems, and design methodologies, effectively equipping him with the theoretical and practical knowledge required for innovation in green technology, robotics, and digital systems. His educational journey has been instrumental in shaping his career as a pioneering engineer, entrepreneur, and inventor with a focus on industrial impact and environmental sustainability.

💼 Work History

Mr. Mehrdad Esmaeilipour has demonstrated a robust and impactful professional journey across engineering, entrepreneurship, and mentorship. Since 2017, he has served as Senior Electronics Engineer at Arya Plasma Gostar Pars Company, where he leads the design and development of innovative circuits for air and water purification systems using cold plasma technology. His contributions include optimizing ICs, implementing quality control, and supporting environmental sustainability initiatives. Concurrently, as CEO and Engineer at Parsa Pardazesh Bushehr Sanat Company (PPBS Co.) since 2014, he has fostered technological innovation and employment through various projects such as cybersecurity implementation and telecommunication systems. He has mentored young talents and led cutting-edge installations across academic and commercial institutions. Moreover, Mehrdad has volunteered over 550 hours with the Robotics Team at Islamic Azad University, contributing to robotics circuit design, control systems, and prototype development. His work reflects strong leadership, technical expertise, and a commitment to industry transformation through sustainable technology.

🏅 Honors, Awards, and Certifications

Mr. Mehrdad Esmaeilipour has received multiple prestigious honors and certifications recognizing his expertise and contributions to engineering and technological innovation. In 2025, he was awarded the Best Innovator Award by the 32nd International Research Excellence and Best Paper Awards (EBP), validating his industry impact. His commitment to professional development is evident through certifications from HP Cert in Cybersecurity Awareness, Business Email, and IT for Business Success (2025). He also earned a research training certificate from Oxford Cert Universal and was recognized as an Electronic Researcher and Troubleshooting Expert by the World Technology Group in Germany (2024). In 2023, he completed a robotics and smart systems course with INT UNIONS and was certified in Solar Photovoltaic System Design by Oxford EDU Academy (2022). Earlier accolades include a letter of appreciation from Electro Sanaat-e Lian (2017) and safety training certifications from 2013 to 2014. These credentials reflect his continuous pursuit of excellence in engineering and sustainability.

🔬 Research Focus 

Mr. Mehrdad Esmaeilipour’s research primarily focuses on Applied Electronics Engineering with interdisciplinary applications in Green Technology, Control Systems, and Artificial Intelligence. His contributions span the design and optimization of intelligent controllers such as Fuzzy Logic and PID systems for robotics and electric motors, highlighting his expertise in automation and motion control. He is also deeply engaged in the development of cold plasma technologies for electronic and environmental applications, including sterilization and wastewater treatment, emphasizing sustainability. His publications and patents reflect a commitment to solving industrial challenges through smart sensor systems, energy-efficient technologies, and wearable health devices like the Smart Bracelet for the visually impaired. Furthermore, his work in photovoltaic system design and lithium-ion battery technologies showcases his role in advancing clean energy systems. Integrating AI with electrical systems is a recurring theme, placing his research at the intersection of electronics, smart systems, and environmental impact, ideal for industrial innovation and societal advancement.

Publication Top Notes

  • Design, Construction and Performance Comparison of Fuzzy Logic Controller and PID Controller for Two-Wheel Balance Robot (Smart Sensors) – 2025

  • Advanced Design, Simulation, Monitoring, Control, and Maintenance Strategies for Photovoltaic Solar Power Systems (Book) – 2025

  • Advancements in Cold Plasma Technology for Electronic and Surface Sterilization Applications (JEEE) – 2025

  • Advances and Challenges in Lithium-Ion Battery Technology – 2025

  • Design of an Optimal PID Controller Utilizing AI Techniques for Brushless DC Motor with Phase Shift – 2025

  • Advancements in Cold Plasma Technology for Electronic and Surface Sterilization Applications – 2025

  • Design, Construction and Performance Comparison of Fuzzy Logic Controller and PID Controller for Two-Wheel Balance Robot (Conference) – 2025

  • An Extensive Optimization Framework for Energy Management within Energy Hubs – 2025

  • Best Innovator Awardee (EBP Award Recognition) – 2024

  • Fundamental Subject on Advanced Energy Extraction Technologies for Smart Platforms –2024

 

Mojtaba Hajiabadi | Electrical Engineering | Best Researcher Award

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Assist. Prof. Dr. Mojtaba Hajiabadi | Electrical Engineering | Best Researcher Award

Assist. Prof. Dr. MojtabaHajiabadi at University of Birjand, Iran

Dr. Mojtaba Hajiabadi is an Assistant Professor in the Communication Engineering Group at the University of Birjand, Iran. With expertise in 6G, wireless communications, adaptive filtering, and machine learning, he has significantly contributed to signal processing and telecommunications. He has served as a visiting researcher at KU Leuven, Belgium, and actively reviews for esteemed journals like IEEE Transactions on Signal Processing. His research includes developing advanced wireless systems, adaptive beamforming, and noise cancellation technologies. With numerous publications, patents, and projects, he remains a leading figure in next-generation communication technologies.

Publication Profile

Google Scholar

Academic Background🎓

Dr. Hajiabadi obtained his Ph.D. in Communication Engineering from Ferdowsi University of Mashhad in 2018, following an M.Sc. from the same institution in 2014 and a B.Sc. from the University of Birjand in 2012. His exceptional academic journey began at the National Organization for Development of Exceptional Talents (NODET). In 2019, he further enhanced his expertise as a Visiting Researcher at KU Leuven, Belgium, working on cutting-edge wireless technologies. His education has laid a strong foundation for his research in wireless communications, adaptive systems, and machine learning-based signal processing.

Professional Background💼

Dr. Hajiabadi has diverse academic and industrial experience, including research and teaching at KU Leuven, Ferdowsi University of Mashhad, and the University of Birjand. His professional roles extend to the Iranian Air Force, Telecommunication Infrastructure Company, and KavirTire Corporation. He has led projects on satellite signal processing, carrier synchronization, and military-grade noise cancellation. His hands-on work with software-defined radios (SDR) and real-world signal applications has made him a key contributor to modern telecommunication advancements, bridging theoretical research with practical implementations.

Awards and Honors🏆

Dr. Hajiabadi has been recognized for his outstanding contributions to communication engineering through multiple awards and distinctions. His work has been featured in leading IEEE journals and conferences, reflecting its high impact. He has received research funding for pioneering studies in adaptive filtering and 6G communications. His role as a reviewer for IEEE Transactions and other esteemed journals highlights his credibility in the research community. Additionally, his patents in noise cancellation circuits for military aircraft showcase his practical innovations in engineering.

Research Focus🔬

Dr. Hajiabadi specializes in 6G wireless communication, adaptive filters, beamforming, noise cancellation, and machine learning applications in signal processing. His research emphasizes optimizing wireless networks using intelligent systems, including channel estimation, equalizers, and interference suppression. His work extends to satellite communication, reconfigurable intelligent surfaces, and AI-driven adaptive systems, addressing real-world challenges in next-generation telecommunications. With a strong emphasis on both theoretical advancements and hardware implementation, his contributions shape the future of wireless connectivity and intelligent communication networks.

Publication Top Notes

🔹 Recursive Maximum Correntropy Learning Algorithm with Adaptive Kernel Size

      Year: 2017 🗓 | Cited by: 36 📑 | IEEE Transactions on Circuits and Systems II: Express Briefs

🔹 Adaptive Multitask Network Based on Maximum Correntropy Learning Algorithm

      Year: 2017 🗓 | Cited by: 19 📑 | International Journal of Adaptive Control and Signal Processing

🔹 Cooperative Spectrum Estimation Over Large‐Scale Cognitive Radio Networks

      Year: 2017 🗓 | Cited by: 15 📑 | IET Signal Processing

🔹 Distributed Adaptive LMF Algorithm for Sparse Parameter Estimation in Gaussian Mixture Noise

      Year: 2014 🗓 | Cited by: 14 📑 | 7th International Symposium on Telecommunications (IST’2014)

Conclusion

Dr. Mojtaba Hajiabadi is a distinguished researcher in communication engineering, specializing in 6G, wireless communication, adaptive filters, and AI-driven signal processing. With a Ph.D. from Ferdowsi University of Mashhad and research experience at KU Leuven, he has made significant contributions through high-impact publications in IEEE Transactions and other prestigious journals. His innovative work includes a patent on acoustic noise cancellation and collaborations on satellite signal detection and defense applications. As a dedicated educator and mentor, he shapes future researchers while actively reviewing for top academic journals. His international exposure, industry collaborations, and academic excellence make him a strong candidate for the Best Researcher Award.

 

BURAK AKIN | Engineering | Best Researcher Award

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BURAK AKIN | Engineering | Best Researcher Award

Assist. Prof. Dr BURAK AKIN, YTU, Turkey

Assist. Prof. Dr. Burak Akın is an academician at Yıldız Technical University, specializing in Electrical and Electronics Engineering. He holds a doctorate from Yıldız Technical University (2001-2008) and has extensive research in energy, renewable energy, and engineering technology. He has been an Assistant Professor since 2013, also holding roles such as Deputy Head of the Department and Commission Chair. Dr. Akın advises postgraduate and doctoral students, with research published in SCI journals. His academic contributions extend to organizing national and international scientific events and refereeing for journals. His expertise includes power systems, battery management, and optimization algorithms. ⚡📚🔋

Publication Profile

Scopus

Education & Career

Assist. Prof. Dr. Burak Akın is an accomplished expert in Electrical and Electronics Engineering with a Doctorate from Yıldız Technical University, Turkey. With over two decades of academic experience, he began his career as a research assistant and progressively advanced to his current role as an assistant professor. Dr. Akın is dedicated to research and education in his field, contributing significantly to advancements in Electrical and Electronics Engineering. Currently serving at Yıldız Technical University, he continues to inspire and mentor students while driving forward innovative research. 🔬📚💡🎓

Academic & Administrative Roles

Dr. Akın is a dedicated academic leader at Yıldız Technical University, actively engaged in shaping educational strategies and overseeing key academic initiatives. He holds leadership roles in various university committees, where he influences decision-making processes and contributes to the growth of the institution. Dr. Akın is also deeply involved in supervising multiple postgraduate theses, guiding students through their research journeys. His commitment to academic excellence and leadership is evident in his continuous efforts to enhance the university’s educational framework and support the next generation of scholars. 🎓📚💼👨‍🏫

Non-Academic Experience

Dr. Akın has significantly contributed to various legal proceedings by offering his expert knowledge in electrical engineering and technology. His insights have proven invaluable in legal contexts, showcasing his ability to bridge the gap between technical expertise and legal matters. With a strong background in engineering, Dr. Akın has applied his skills in areas like patent law, intellectual property, and technology-related disputes. His versatility in both technical and legal domains has enhanced his professional reputation, allowing him to be a trusted expert in his field. ⚖️🔌📚💡

Projects

B. Akın has contributed to various projects focused on power electronics and renewable energy systems. Key projects include the development of a safe onboard charging unit for electric vehicle batteries (TÜBİTAK, 2023) and a three-phase power factor correction circuit for charging stations (TÜBİTAK, 2022-2023). He also worked on a compact DC/DC converter (2020-2021), a smart turnstile system (TÜBİTAK, 2018-2019), and solutions for reducing the impact of energy-efficient lamps on the grid (2015-2017). Other notable projects include induction ovens (2011-2013) and power factor correction circuits (2005-2008), emphasizing renewable energy applications 🌍🔋⚡.

Book Chapters

Assist. Prof. Dr. Burak Akın contributed to several important topics in physics in 2015. He authored chapters in the book Fen ve Mühendisler için Fizik (Physics for Science and Engineers), edited by D. Esra Yıldız, Erol Kurt, and H. Hilal Kurt, published by Nobel Yayın Dağıtım. His chapters include Kinetic Theory of Gases (pp. 1-17), Temperature, Heat, and Heat Transfer (pp. 1-17), and The First and Second Laws of Thermodynamics (pp. 1-17). These works have provided valuable insights into fundamental principles of physics for engineering and science students. ⚛️📚🌡️

Research Focus

Assist. Prof. Dr. Burak Akın’s research primarily focuses on optimization techniques for energy systems, particularly in photovoltaic (solar power) applications. His work includes innovative algorithms such as the grey wolf optimization and hybrid particle swarm algorithms for efficient energy management, battery charging, and maximum power point tracking (MPPT). Additionally, he explores feedback control systems and converter designs, aiming to improve energy storage systems and power conversion efficiency. His contributions support sustainable energy solutions, particularly in optimizing the performance of solar and battery systems. 🌞⚡🔋🧑‍💻

Publication Top Notes

A modified multi-stepped constant current based on gray wolf algorithm for photovoltaics applications

An improved constant current step-based grey wolf optimization algorithm for photovoltaic systems

Transformer rail-tapped buck-boost converter design-based feedback controller for battery charging systems

MPPT mechanism based on novel hybrid particle swarm optimization and salp swarm optimization algorithm for battery charging through simulink

A novel hybrid series salp particle Swarm optimization (SSPSO) for standalone battery charging applications

Improved salp swarm algorithm based on particle swarm optimization for maximum power point tracking of optimal photovoltaic systems

DESIGN AND ANALYSIS OF A FLYBACK CONVERTER WITH IMPROVED SNUBBER CELLS