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

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20

15

10

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Citations
29

Documents
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Featured Publications

Huijie Zhu | Engineering | Best Researcher Award

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Prof. Huijie Zhu | Engineering | Best Researcher Award

Luoyang Institute of Science and Technology | China

Prof. Huijie Zhu is a highly accomplished researcher and PhD supervisor at the Luoyang Institute of Science and Technology, China, specializing in Water Supply and Drainage Science and Environmental Engineering. His research focuses on sewage treatment technologies, nanomaterial-based pollutant removal, and photocatalytic degradation mechanisms for environmental purification. With 37 publications, an h-index of 10, and nearly 955 citations, Prof. Huijie Zhu has made significant contributions to the fields of water quality improvement, heavy metal remediation, and sustainable wastewater management. His innovative studies on Z-scheme heterojunction photocatalysts and zero-valent iron composites have advanced the understanding of efficient pollutant degradation processes. He has authored influential books, including Solar Aeration-Reactive Wall-Stabilized Sediment Treatment Technology and Schwertmannite Environmental Effects, and led several large-scale sewage treatment projects in rural China.

Profile: Scopus | Orcid

Featured Publications

Zhu, H., Fu, S., Zhang, H., Wu, X., Han, J., Ma, X., Rong, J., Chen, S., Chen, G., & Li, Y. (2025). Research on synchronous synthesis of schwertmannite for removal of Pb²⁺ from acidic wastewater. Crystals, 15(11), 929.

Wang, Y., Zhu, H., He, P., Li, M., Cao, Y., Du, Y., Wen, Y., Zhao, Y., Liu, X., & Song, Y. (2025). Two-dimensional silver bismuth oxide/bismuth molybdate Z-scheme heterojunctions with rich oxygen vacancies for improved pollutant degradation and bacterial inactivation. Crystals, 15(4), 318.

Fu, S., Chu, Z., Huang, Z., Dong, X., Bie, J., Yang, Z., Zhu, H., Pu, W., Wu, W., & Liu, B. (2024). Construction of Z-scheme AgCl/BiOCl heterojunction with oxygen vacancies for improved pollutant degradation and bacterial inactivation. RSC Advances, 14, Article D3RA08514G.

Fu, S., Huang, Z., Wang, Y., Zheng, B., Yuan, W., Li, L., Deng, P., Zhu, H., Zhang, H., & Liu, B. (2024). Fabrication of a novel Z-scheme AgBiO₃/BiOCl heterojunction with excellent photocatalytic performance towards organic pollutant. Materials, 17(18), 4615.

Shi, M., Zhang, Y., Hong, W., Liu, J., Zhu, H., Liu, X., Geng, Y., Cai, Z., Lin, S., & Ni, C. (2022). Mechanism of simultaneous lead and chromium removal from contaminated wastewater by a schwertmannite-like mineral. Environmental Science and Pollution Research, 29(56), 85364–85375.

Jinyou Kang | Engineering | Best Researcher Award

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Assist. Prof. Dr. Jinyou Kang | Engineering | Best Researcher Award

Yanshan University | China

Assist. Prof. Dr. Jinyou Kang is a promising researcher in the field of mechanical engineering, currently affiliated with the Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Jinan. His research focuses on intelligent manufacturing, mechanical vibration control, and high-efficiency machining technologies, particularly in the study and optimization of circular saw blade dynamics, wear behavior, and noise mitigation. Assist. Prof. Dr. Jinyou Kang has published 7 SCI-indexed papers as the sole first author in top-tier journals such as Mechanical Systems and Signal Processing, International Journal of Mechanical Sciences, and Journal of Materials Processing Technology, with the majority ranked in JCR Q1. His works advance understanding of tool wear mechanisms, FEM-based modeling, vibration suppression, and green manufacturing processes, contributing to both theoretical insights and industrial applications. With over 106 citations, multiple patents, and provincial science and technology awards.

Profile: Scopus | Orcid

Featured Publications

1. Kang, J., Zhang, J., Zhang, H., Yuan, X., Lv, C., & Bai, T. (2025). A laminated-core circular sawblade with built-in cavities for improving machinability. International Journal of Mechanical Sciences, 110148.

2. Zuo, C., Zhang, H., Kang, J., Zhang, J., Wang, J., & Guo, C. (2025). Damage characteristics and material removal mechanisms of SSiC scratched by diamond grits: Comparison with RB-SiC. Ceramics International.

3. Bai, T., Wang, X., Gao, Z., Wang, S., Zuo, C., Kang, J., Zhang, H., & Zhang, J. (2025). Tool wear analysis of high-speed sawing of aerospace aluminum alloy based on FEM simulation and cutting experiments. Journal of Manufacturing Processes.

4. Kang, J., Zhang, H., Zhang, J., Yuan, X., Lv, C., Bai, T., Gong, Y., & Guo, J. (2025). Development of a novel circular saw blade substrate with high stiffness for mitigating vibration noise and improving sawing performance. Mechanical Systems and Signal Processing, 111934.

5. Kang, J., Zhang, H., Zhang, J., Bai, T., Zhang, Z., Guo, J., Gong, Y., & Niu, P. (2025). Wear analysis of teeth for roughing and finishing in the high-efficiency machining of hard alloys using carbide circular saw blades. Engineering Failure Analysis, 108983.

Nikolaos Kelepouris | Energy Management | Best Researcher Award

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Mr. Nikolaos Kelepouris | Energy Management | Best Researcher Award

University of Western Macedonia | Greece

Mr. Nikolaos Kelepouris is a highly promising researcher in the field of electrical and computer engineering, currently pursuing his PhD at the University of Western Macedonia with a thesis focused on optimizing distribution networks by incorporating nanogrids. He holds an Integrated Master Diploma in Electrical and Computer Engineering from the University of Thessaly, where he completed a thesis on hydroelectric plant design. His expertise spans energy management systems, demand side management, smart grids, energy communities, storage technologies, electric vehicles, and optimization models. A recipient of the 2023 Research Excellence Award from the Faculty of Engineering, he has distinguished himself as both a skilled researcher and educator, serving as a teaching assistant in electric power systems and photovoltaic applications. Mr. Kelepouris has actively participated in eight funded research projects, including EU Horizon and LIFE initiatives, covering critical areas such as solar energy, smart cities, congestion management, and innovative low-carbon energy technologies. His publication record is robust, with 15 contributions, including five peer-reviewed journal papers in high-impact outlets such as IEEE Transactions on Industry Applications and Electric Power Systems Research, and ten international conference presentations. Combining strong technical skills in programming, optimization, and power system analysis with international project engagement, Mr. Kelepouris is building a significant research profile that advances sustainable energy transitions and the future of smart grids.

Profile: Google Scholar

Featured Publications

Kelepouris, N. S., Nousdilis, A. I., Bouhouras, A. S., & Christoforidis, G. C. (2022). Cost-effective hybrid PV-battery systems in buildings under demand side management application. IEEE Transactions on Industry Applications, 58(5), 6519–6528.

Kelepouris, N. S., Nousdilis, A. I., Bouhouras, A. S., & Christoforidis, G. C. (2023). Optimal scheduling of prosumer’s battery storage and flexible loads for distribution network support. IET Generation, Transmission & Distribution, 17(7), 1491–1508.

Bouhouras, A. S., Kelepouris, N. S., Koltsaklis, N., Oureilidis, K., & Christoforidis, G. C. (2024). Congestion management in coupled TSO and DSO networks. Electric Power Systems Research, 229, 110145.

Kelepouris, N. S., Nousdilis, A. I., Bouhouras, A. S., Christoforidis, G. C., & others. (2021). Impact of demand side management on the self-sufficiency and self-consumption of buildings with photovoltaic and storage systems. In Proceedings of the 9th International Conference on Modern Power Systems (MPS) (pp. 1–6).

Kelepouris, N. S., Nousdilis, A. I., Bouhouras, A. S., & Christoforidis, G. C. (2021). Enhancing self-sufficiency in buildings with hybrid PV-battery systems and demand side management: A sizing tool. In 2021 IEEE International Conference on Environment and Electrical Engineering (EEEIC/ICPSEurope).

Kelepouris, N. S., Kelepouris, D., Bouhouras, A. S., & Christoforidis, G. C. (2024). Prosumer energy management under controllable power transactions with the grid. IEEE Transactions on Industry Applications.

Ibrahim Ismael Alnaib | Electrical Engineering | Best Researcher Award

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Prof. Ibrahim Ismael Alnaib | Electrical Engineering | Best Researcher Award

Prof. Ibrahim Ismael Alnaib | University of Mosul | Iraq

Prof. Ibrahim Ismael Alnaib is a distinguished researcher and academic specializing in electrical engineering with expertise spanning power quality, active power filter protection, renewable energy, artificial intelligence, and advanced control systems. He earned his bachelor’s degree in power and machines and master’s degree in control systems from the University of Mosul, where he also serves as a lecturer, and he is currently pursuing his PhD in electrical engineering. His research interests extend to solar-based dc-dc power converter topologies and maximum power point tracking, grid-connected photovoltaic systems, wireless power transfer, electric vehicles, wind MPPT controllers, and fuel cells, reflecting a strong focus on sustainable energy and smart power technologies. Prof. Alnaib has published extensively in Scopus and Web of Science-indexed journals, including Q1 and Q2 outlets such as Computers and Electrical Engineering and Electrical Engineering & Electromechanics, contributing impactful solutions in power system optimization, intelligent relays, and bio-inspired algorithm applications.

Publication Profile

Scopus

Orcid

Google Scholar

Educational Background

Prof. Ibrahim Ismael Alnaib has built a strong academic foundation in the field of electrical engineering, beginning with a bachelor’s degree in power and machines from the University of Mosul, where he developed core expertise in energy systems and power technologies. He further advanced his knowledge by completing a master’s degree in electrical engineering with a specialization in control systems at the University of Mosul, which enabled him to focus on modern techniques in automation, control, and intelligent system design. Currently, he is pursuing his doctoral studies in electrical engineering at the University of Mosul, deepening his research on renewable energy, power quality, advanced converter topologies, and smart grid integration. His educational journey reflects a continuous progression toward advanced research and innovation, equipping him with both theoretical depth and practical skills. This strong academic background has positioned him as a promising researcher and educator in electrical engineering.

Professional Experience

Prof. Ibrahim Ismael Alnaib has gained valuable professional experience across both academia and industry, reflecting a balanced blend of teaching and practical expertise. He has been serving as a lecturer at the University of Mosul in the Faculty of Engineering, where he is actively involved in teaching, research, and mentoring students in the field of electrical engineering. His academic role has allowed him to contribute to curriculum development, guide research projects, and share his knowledge in areas such as power systems, renewable energy, and control engineering. Prior to his academic career, he worked in several telecommunication companies, where he acquired hands-on experience in technical operations, communication systems, and applied engineering practices. This combination of industrial and educational experience has strengthened his ability to bridge theoretical concepts with real-world applications, enhancing his effectiveness as both a researcher and an educator in electrical engineering.

Research Focus

Prof. Ibrahim Ismael Alnaib’s research focus lies primarily within the domain of electrical engineering, with strong emphasis on power systems, renewable energy integration, and intelligent control methodologies. His scholarly contributions span fault detection, location, and classification in power transmission systems, where he has applied advanced techniques such as artificial intelligence, fuzzy logic, genetic algorithms, and adaptive neuro-fuzzy inference systems to improve relay protection and system reliability. His work also extends into optimization-based control of induction motors, brushless DC motors, and fractional-order controllers, highlighting his expertise in electrical machine control. In addition, he has made significant contributions to renewable energy research, particularly in photovoltaic systems, through innovative maximum power point tracking strategies that address challenges such as partial shading. Prof. Alnaib’s interdisciplinary approach bridges traditional power engineering with computational intelligence, optimization algorithms, and renewable integration, positioning his research at the intersection of smart grids, sustainable energy, and advanced power system protection.

Publication Top Notes

Fault detection and location of power transmission lines using intelligent distance relay
Year: 2020
Citations: 26

Faults detection, location, and classification of the elements in the power system using intelligent algorithm
Year: 2023
Citations: 17

Protection relay performance comparison for faults detection and classification based on ANN and ANFIS
Year: 2022
Citations: 11

A new approach to detecting and classifying multiple faults in IEEE 14-bus system
Year: 2020
Citations: 11

Comparison between two methods to analyze multiple faults in IEEE 14-bus
Year: 2020
Citations: 11

The distance relay by using ANFIS to detect faults in transmission line
Year: 2016
Citations: 11

Conclusion

Prof. Ibrahim Alnaib presents a compelling profile for the Research for Best Researcher Award. His impactful publications, applied research relevance, and expertise in advancing renewable and intelligent power systems position him as a promising nominee. With broader collaborations and deeper global engagement, his academic influence and recognition are likely to grow significantly.

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

 

Mohamed Dokmak | Engineering | Best Academic Researcher Award

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Mr. Mohamed Dokmak | Engineering | Best Academic Researcher Award

Mr. Mohamed Dokmak, Housing and building national research center of EGYPT, Egypt

Mohamed Mahmoud Ali Ali Dokmak is an Egyptian structural engineer with over 9 years of experience at the Housing & Building National Research Center (HBRC). He holds a B.Sc. (Honors), M.Sc. in Steel Structures, and a Pre-PhD in Structural Engineering from Shoubra Faculty of Engineering, Benha University. 🏗️ A technical committee member for the Egyptian Steel Code and HBRC Development Committee, his research focuses on CFRP-strengthened steel structures and composite systems. 📚 He has published in top journals such as Construction and Building Materials and Structures. 🇪🇬 Mohamed is known for blending field expertise with advanced design research

Publication Profile

Scopus

🎓 Educational Background

Mr. Mohamed Dokmak holds a distinguished academic record in structural engineering. He earned his B.Sc. degree in Structural Engineering from Shoubra Faculty of Engineering, Benha University in July 2013, graduating third in his class with an Excellent with Honors grade, and an exceptional steel structure graduation project. 🏗️ He continued his studies at the same institution, completing an M.Sc. in Steel Structures in 2019. 📘 In 2020, he successfully completed the Pre-PhD year in Structural Engineering with an ‘A’ grade, demonstrating his strong academic foundation and commitment to research excellence.

🏗️ Research Experience

Mr. Mohamed Dokmak has been actively engaged in structural engineering research at the Housing & Building National Research Center (HBRC) since July 2015, serving as an Assistant Researcher and Technical Engineer in the Structures and Steel Constructions Institute. 🔬 He is a dedicated member of the Technical Secretariat for the development of the Egyptian Code for Steel Buildings since 2019. 📘 Additionally, he served on the HBRC Construction Development Committee from 2019 to 2024. 🏢 His work integrates practical engineering knowledge with national standards development, contributing significantly to Egypt’s construction research sector.

🔬 Research Focus

Mr. Mohamed Dokmak’s research primarily centers on structural engineering, with a focus on steel structures, composite systems, and structural strengthening using advanced materials like CFRP (Carbon Fiber Reinforced Polymer). 🏗️ His studies investigate the behavior and performance of hollow steel sections and the interaction between innovative concrete slabs and CF’S beams. His work integrates experimental analysis, design optimization, and material innovation, contributing to safer and more efficient construction technologies. 📐 His research advances sustainable, high-performance solutions in civil engineering, particularly for buildings and infrastructure systems.

Publication Top Notes

📘 “Behavior of hollow steel sections strengthened with CFRP” – Construction and Building Materials, 2019 – Cited by 150+ 🧪
🔗 DOI:10.1016/j.conbuildmat.2019.01.237

📑 “Major Parameters Governing the Strength of Hollow Steel Sections Strengthened by CFRP” – Egypt Steel 19 Conference, 2019 – Cited by 15+ 📊

🏗️ “Investigating the composite action between innovative concrete slabs and CF’S beams” – Structures, 2025 – New Publication
🔗 DOI:10.1016/j.istruc.2025.109399

Mohammad Neshati | Electrical Engineering | Best Researcher Award

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Assoc. Prof. Dr . Mohammad Neshati | Electrical Engineering | Best Researcher Award

Assoc. Prof. Dr . Mohammad Neshati, Ferdowsi University of Mashhad, Iran

Dr. Mohammad Hassan Neshati is an Associate Professor in the Department of Electrical Engineering and Electronics at Ferdowsi University of Mashhad, Iran. Born in Yazd in 1959, he specializes in microelectronics, microwave engineering, and antenna design. With over two decades of academic and research experience, Dr. Neshati has been a reviewer and editorial board member for esteemed journals such as IEEE-AP and the International Journal of Antennas and Propagation. A senior IEEE member, he has supervised numerous MSc and PhD students. Dr. Neshati is fluent in English and Persian, contributing significantly to advancements in dielectric resonator antenna technologies.

Publication Profile

Orcid

Education

Dr. Neshati earned his PhD in Electrical Engineering from UMIST (University of Manchester Institute of Science and Technology), UK, where he specialized in numerical modeling and application studies of rectangular dielectric resonator antennas. Before that, he obtained his MSc in Electronics from Amir-Kabir University of Technology, Tehran, focusing on telemetry and radio frequency circuit design. His academic journey began with a BS degree in Electrical Engineering from Isfahan University of Technology, Iran. Throughout his education, Dr. Neshati demonstrated exceptional academic performance, earning scholarships and accolades for his research contributions.

Experience

Dr. Neshati has extensive teaching and research experience, beginning as an Instructor at Sistan & Baluchistan University (1989–1996), later becoming an Assistant Professor there until 2007. He then joined Ferdowsi University of Mashhad, progressing from Assistant Professor (2007–2008) to Associate Professor (2008–present). Dr. Neshati serves on editorial boards of several international journals and is a reviewer for IEEE journals. He has also mentored numerous MSc and PhD students, contributing significantly to academic research and engineering education. His expertise covers microelectronics, microwave devices, antennas, and network analyzers, supported by advanced proficiency in simulation tools like MATLAB, HFSS, and ADS.

Awards and Honors

Dr. Neshati has been a Senior Member of IEEE since 2013 and a regular member since 2000. He was awarded a prestigious scholarship to pursue his PhD studies at UMIST, where he was recognized as a top selected PhD student during 2000–2001. His academic excellence, leadership in research, and significant contributions to the fields of microwave engineering and antenna design have earned him notable distinctions. In addition, his editorial roles in prominent journals further highlight his standing in the scientific community. Dr. Neshati’s awards underscore his commitment to advancing research and fostering academic excellence in electrical engineering.

Research Focus

Dr. Neshati’s research centers around microelectronics, microwave engineering, and advanced antenna systems, particularly focusing on rectangular dielectric resonator antennas (RDRAs). His PhD work combined theoretical modeling, numerical simulation using FEM, and experimental validation of RDRAs. Key areas of investigation include resonance frequency optimization, radiation patterns, Q-factor, impedance bandwidth, and coupling mechanisms. His studies explore various feed structures like probe-fed and microstrip-coupled systems, addressing practical challenges such as fabrication imperfections. Dr. Neshati’s current research extends to dual-band antennas, backward radiation reduction, and dielectric resonator applications, contributing innovations in wireless communication and RF systems design.

Publication Top Notes

  • Development of a Compact Microstrip Antenna Using Slow-Wave Artificial Dielectric Substrate – Microwave and Optical Technology Letters (2025) 📡, DOI: 10.1002/mop.70191

  • Textile-based high-gain bow-tie antenna using metamaterials for medical applications – Engineering Reports (2024) 🏥, DOI: 10.1002/eng2.12949

  • Efficient Design Procedure for Combline Bandpass Filters With Advanced Electrical Responses – IEEE Access (2023) 🔧, DOI: 10.1109/ACCESS.2023.3278791

  • Equivalent Circuit Modeling of a Transmission Mode FSS Structure with Anisotropic Substrate and Enhanced Parameters – Iranian Journal of Science and Technology, Transactions of Electrical Engineering (2022) 🔬, DOI: 10.1007/s40998-022-00489-2

  • Development of a New Method for Pattern Synthesizing of Linear and Planar Arrays Using Legendre Transform With Minimum Number of Elements – IEEE Transactions on Antennas and Propagation (2022) 📡, DOI: 10.1109/TAP.2021.3137200

  • A new noniterative method for pattern synthesis of unequally spaced linear arrays – International Journal of RF and Microwave Computer-Aided Engineering (2019) 🔧, DOI: 10.1002/mmce.21921

  • Crosstalk analysis of uniform and nonuniform lossy microstrip‐coupled transmission lines – International Journal of RF and Microwave Computer-Aided Engineering (2019) ⚡, DOI: 10.1002/mmce.21916

  • Crosstalk analysis of multi‐microstrip coupled lines using transmission line modeling – International Journal of RF and Microwave Computer-Aided Engineering (2019) ⚡, DOI: 10.1002/mmce.21677

  • Design and Development of High-Gain SIW H-Plane Horn Antenna Loaded With Waveguide, Dipole Array, and Reflector Nails Using Thin Substrate – IEEE Transactions on Antennas and Propagation (2019) 📡, DOI: 10.1109/TAP.2019.2896445

  • Input impedance modeling of patch and semi-rectangular substrate integrated waveguide cavity hybrid antenna – AEU – International Journal of Electronics and Communications (2018) 🔧, DOI: 10.1016/j.aeue.2018.03.013

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.

 

Rui Wang | Electrical Engineering | Best Researcher Award

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Prof. Rui Wang | Electrical Engineering | Best Researcher Award

Prof. Rui Wang, Northeastern University, China

Dr. Rui Wang is a Professor at the College of Information Science and Engineering, Northeastern University, China. He specializes in energy internet, smart grids, stability analysis, and collaborative control strategies. Previously, he served as an Associate Professor at Northeastern University and worked at the National Natural Science Foundation of China. He has been a Visiting Scholar at Nanyang Technological University, Singapore. Dr. Wang has contributed significantly to power electronics, renewable energy systems, and microgrid stability. As an accomplished researcher, he has received numerous accolades for his publications and serves as an editorial board member and guest editor for prestigious IEEE journals.

Publication Profile

Scopus

Education 🎓📚

Dr. Rui Wang earned his Ph.D. in Power Electronics and Power Drive from Northeastern University, China (2016-2021). His doctoral research focused on advanced modeling techniques and stability control in smart grids. He completed his B.S. in Electrical Engineering and Automation from Northeastern University (2012-2016), where he developed a strong foundation in power systems, control strategies, and microgrid operations. Throughout his academic journey, he explored cutting-edge technologies in energy conversion, distributed control mechanisms, and DC microgrids, which laid the groundwork for his future research. His interdisciplinary knowledge integrates power systems, electronics, and control engineering, enabling innovative contributions to energy management and grid stability. His educational background supports his extensive research on stability-oriented control, power optimization, and distributed energy management, reflecting his dedication to advancing smart grid technologies and energy internet solutions.

Experience 🏢🔬

Dr. Rui Wang has held several key academic and research positions. Since January 2025, he has been a Professor at Northeastern University’s College of Information Science and Engineering. Previously, he served as an Associate Professor (2023-2024) and worked at the National Natural Science Foundation of China (2022), contributing to national energy research projects. From 2019 to 2020, he was a Visiting Scholar at Nanyang Technological University, Singapore, where he collaborated on energy internet and power electronics research. He has chaired multiple IEEE conferences and organized special sessions on power and renewable energy. His experience spans editorial roles for IEEE Transactions on Industrial Applications and IET Renewable Power Generation. Dr. Wang has been actively involved in microgrid stability research, multi-objective collaborative control, and power system optimization. His leadership in national and international projects has significantly contributed to developing robust and efficient smart grid systems.

Awards & Honors 🏆🎖

Dr. Rui Wang has received numerous prestigious awards recognizing his contributions to energy research. He was honored with the Best Paper Award from IEEE Transactions on Energy Conversion (2021) and IEEE Transactions on Consumer Electronics (2022). He also received the Best Reviewer Award from IEEE Transactions on Industrial Electronics and IEEE Transactions on Energy Conversion (2022). In 2023, he won the First Natural Science Award from both the Chinese Association of Automation and China Simulation Federation. Additionally, he was awarded the RINENG Distinguished Scientist and Young Investigator Award (2024). His excellence as an editorial board member and conference chair has been acknowledged through various IEEE recognitions. He has also been an Outstanding Reviewer for IEEE Transactions on Energy Conversion and Industrial Electronics (2022). His awards reflect his impactful research in power electronics, energy management, and smart grid optimization.

Research Focus 🔬⚡

Dr. Rui Wang’s research focuses on energy internet modeling, smart grids, and stability analysis. His work explores collaborative control strategies for microgrids, integrating renewable energy sources, and ensuring power system reliability. He specializes in dynamic aggregation modeling of boost converter systems, energy management in DC microgrids, and voltage/current control in distributed power systems. His research on multi-bus DC microgrids has contributed to stability-oriented droop coefficient identification, enhancing power flow optimization. He also investigates cyber-energy interactions, developing robust event-triggered control mechanisms for electric vehicle-to-grid systems. His work in artificial intelligence-based energy management strategies advances smart home power distribution. With a strong focus on multi-objective cooperative control, Dr. Wang’s research ensures efficient, stable, and scalable renewable energy integration, enhancing the resilience and sustainability of modern power networks. His contributions drive the future of energy-efficient, intelligent power systems. 🚀💡

 

Publication Top Notes

📄 Fully distributed energy management strategy for DC bus charging stations with three charging modes – R. Wang, X. Tian, Z. Wei, Q. Sun, P. Wang – Scientific Reports, 2025

⚡ A novel adaptive droop-based SoC balancing control strategy for distributed energy storage system in DC microgrid – L. Guo, X. Liu, X. Li, Z. Wang, Q. Sun – International Journal of Electrical Power and Energy System, 2025

🔋 Fixed-time quasi-consensus energy management method for battery energy storage systems in DC microgrids under two types of DoS attacks – L. Liu, K. Jiang, P. Xiong, R. Wang, Q. Sun – Journal of Energy Storage, 2025

🌍 Resilience enhancement strategy of multiple microgrids based on distribution station area considering two-level power management – X. Liu, X. Li, X. Li, H. Ren, Q. Sun – Energy, 2025

🛠️ Guaranteed Disturbance Compensation and Robust Fault Detection Based on Zonotopic Evaluation – S. Fu, R. Wang, W. Tang, X. Sun – International Journal of Robust and Nonlinear Control, 2025

⚙️ Transient Stability Analysis and Improvement of Multiinverter-Based Microgrid – D. Li, Q. Sun, R. Wang, X. Yu – IEEE Transactions on Industrial Electronics, 2025

📡 Data-Driven Dynamic Periodic Event-Triggered Control for Uncertain Linear Systems With Guaranteed Extended Dissipativity – W. Qi, Y. Wang, R. Wang, K. Liu – International Journal of Robust and Nonlinear Control, 2025

🌱 An equivalent thermal model for dynamic analysis of integrated electricity and heat systems for renewable energy accommodation – Q. Sun, R. Wang – IET Renewable Power Generation, 2025

🔗 Recursive Remote State Estimation for Stochastic Complex Networks with Degraded Measurements and Amplify-and-Forward Relays – T. Liu, Z. Wang, Y. Liu, R. Wang – IEEE Transactions on Network Science and Engineering, 2025

⚖️ Adaptive SOC equalization of an islanded DC microgrid considering line impedance and energy storage capacity – X. Liu, H. Cao, L. Lan, R. Wang, Q. Sun – Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2025

Conclusion

Rui Wang is a highly suitable candidate for the Best Researcher Award due to his strong publication record, leadership roles, national and international awards, and successful research funding. His expertise in Energy Internet and Smart Grid Stability aligns with pressing energy challenges. While increased industry collaboration and international funding could further enhance his profile, his current achievements make him a strong contender for the award.