Dauda Adenusi | Industrial Automation | Best Researcher Award

Published on by Electrical Engineering

Mr. Dauda Adenusi | Industrial Automation | Best Researcher Award

Lecturer | Atiba University | Nigeria

Dr. Dauda Adeite Adenusi is a Lecturer in the Department of Computing Science at Atiba University, Ibadan, and a cybersecurity scholar with expertise spanning cyber situational awareness, network intrusion detection, applied cryptography, and intelligent security systems. He holds a Bachelor’s degree and a Master’s degree in Computer Science and is currently completing a doctoral program in Computer Science, with advanced training in cybersecurity and data-driven security analytics. Dr. Adenusi has extensive academic and professional experience across universities and polytechnics, where he has served in teaching, research, academic leadership, and administrative roles, including Head of Department, program coordinator, accreditation committee chair, and student project supervisor. The author has received 7 citations across 2 scholarly documents, with an h-index of 1.

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View  Scopus Profile View  Google Scholar

Featured Publications

Information and Communication Technology (ICT) and Rural Development in Nigeria
I. O. Ebo, B. M. Amosa, D. A. Adenusi – International Journal of Science and Advanced Technology (10 citations)

Challenges and Way Out of Cyber Security Issues in Nigeria
D. A. Adenusi, A. U. Adekunle, O. O. Odewale – International Conference of Villanova Polytechnic (6 citations)

ICT in Education Among Higher Education Students
D. A. Adenusi, A. A. Adebayo, B. O. Oni – Villanova Journal of Science, Technology and Management (6 citations)

Development of Cyber Situation Awareness Model
D. Adenusi, B. K. Alese, B. M. Kuboye, A. F. B. Thompson – International Conference on Cyber Situational Awareness (5 citations)

Development of Threats Detection Model for Cyber Situation Awareness
A. D. Adenusi, E. C. Ayeleso, A. K. Kawonise, J. B. Ekuewa, A. A. Adebayo – ICONSEET Proceedings (4 citations)

Prof. Dr. Zhi-Hua Yang | Wearable Electronics | Research Excellence Award

Published on by Electrical Engineering

Prof. Dr. Zhi-Hua Yang | Wearable Electronics | Research Excellence Award

Professor | Harbin institute of technology | China

Professor Zhihua Yang, a leading scholar at the Harbin Institute of Technology, is recognized for his expertise in advanced ceramics and composite materials within the School of Materials Science and Engineering, where he contributes to both foundational research and high-impact industrial innovation. With advanced degrees in materials science and specialization in ceramic and composite systems, he has developed a strong professional portfolio encompassing major research projects on structural-functional integrated ceramics, additive manufacturing, and ceramic–metal integration technologies for semiconductor packaging and electronic circuits. His experience includes directing significant research initiatives, providing specialized consulting for semiconductor equipment component development, and fostering academic collaborations with prominent institutions. Professor Yang has authored influential monographs, contributed to national-level publications, published more than 250 peer-reviewed papers, and secured 70 authorized national invention patents, demonstrating his leadership in translating materials research into technological applications. His professional recognitions are strengthened by his service as Associate Editor of the Journal of Applied Ceramic Technology, Editorial Board Member of the Journal of Advanced Ceramics, and council member in key committees of the Chinese Ceramic Society and the Chinese Mechanical Engineering Society, reflecting his commitment to advancing the field through scholarly excellence, professional service, and sustained research contributions.

Profile: ORCID

Featured Publications

Zhihua*, Review activity for ACS Applied Electronic Materials. ACS Appl. Electron. Mater., Review, American Chemical Society.

Zhihua*, Review activity for ACS Applied Electronic Materials. ACS Appl. Electron. Mater., Review, American Chemical Society.

Zhihua*, Review activity for Tribology International. Tribol. Int., Review, Elsevier Editorial.

Prof. Fazhi Song | Control Systems & Optimization | Research Excellence Award

Published on by Electrical Engineering

Prof. Fazhi Song | Control Systems & Optimization | Research Excellence Award

Professor | Harbin Institute of Technology | China

Dr. Fazhi Song, Professor in the School of Instrumentation Science and Engineering at Harbin Institute of Technology, is a leading specialist in control science and precision motion systems whose work advances high-end manufacturing and inspection technologies. With a Ph.D. in Control Science and Engineering and research expertise spanning motion generation, performance control, learning control, and system accuracy retentivity, he has built a distinguished academic and professional record through roles as researcher, lecturer, associate professor, and project leader on numerous advanced engineering projects. He has authored more than forty peer-reviewed publications, contributed a research monograph, and secured an extensive portfolio of patents and software copyrights, reflecting strong innovation and impact in precision motion control. His scholarly influence is further demonstrated by 432 citations across 367 documents, 45 indexed publications, and an h-index of 9. Dr. Song has been recognized with major honors, including high-level national and provincial awards for technological invention, innovation, and academic contribution, and he maintains active professional service as guest editor, editorial board member, conference session chair, peer reviewer for leading journals, and expert evaluator for national research programs. His contributions exhibit a blend of scientific rigor, technological advancement, and leadership, positioning him as an exemplary candidate for award recognition.

Profiles: Scopus | ORCID

Featured Publications

Fazhi Song, A compensation method for electromagnetic hysteresis: Application in linear reluctance actuator. J. Magn. Magn. Mater., 2025.*

Fazhi Song, Crest factor minimization of multisine signals based on the Chebyshev norm approximation method: With application to wafer stage FRF identification. Results Eng., 2025.*

Fazhi Song, Identification for precision mechatronics: An auxiliary model-based hierarchical refined instrumental variable algorithm. Int. J. Robust Nonlinear Control, 2025.*

Fazhi Song, Beyond performance of learning control subject to uncertainties and noise: A frequency-domain approach applied to wafer stages. IEEE/CAA J. Autom. Sinica, 2025, 5 citations.*

Ms. Soujanya Reddy Annapareddy | BESS Power Flow and Energy | Energy Efficiency Excellence Award

Published on by Electrical Engineering

Ms. Soujanya Reddy Annapareddy | BESS Power Flow and Energy | Energy Efficiency Excellence Award

Senior Firmware Automation Engineer | TAE Power Solutions | United States

Ms. Soujanya Reddy Annapareddy is a Senior Firmware Automation Engineer at TAE Power Solutions, recognized for her expertise in embedded systems, firmware validation, and automation engineering. She holds advanced degrees in Computer Technology and Electronics and Communication Engineering, forming a strong interdisciplinary foundation that bridges software and hardware innovation. With extensive experience in developing Python-based automation frameworks, integration testing tools, and validation systems for complex embedded platforms, she has led and contributed to numerous industry and research projects aimed at enhancing automation efficiency and system reliability. Her research primarily focuses on firmware automation, embedded systems validation, IoT test architectures, software quality engineering, and cloud-integrated automation solutions. She has authored and co-authored more than twenty papers in international peer-reviewed journals and conferences, presenting impactful findings on energy-efficient embedded systems and adaptive control algorithms for battery energy storage systems. Beyond research, Ms. Annapareddy has served as a peer reviewer and judge for multiple reputed international journals, evaluating technical manuscripts across software automation and data-driven technologies. Her professional affiliations include membership in IEEE and active collaborations with multidisciplinary teams in academia and industry. She has been honored with recognitions for excellence in energy efficiency and innovation, reflecting her commitment to advancing intelligent, sustainable embedded technologies. Through her technical leadership, scholarly contributions, and dedication to continuous innovation, Ms. Soujanya Reddy Annapareddy exemplifies the qualities of a forward-thinking engineer and researcher in the global field of firmware automation and embedded systems engineering.

Profile: Google Scholar 

Featured Publications

Soujanya Reddy Annapareddy*, Managing power flows and energy efficiency in embedded systems for battery energy storage systems (BESS). Int. J. Adv. Innov. Dev. Res., Accepted.

Soujanya Reddy Annapareddy*, Python-based automation frameworks for firmware validation and integration testing in embedded platforms. Int. J. Innov. Res. Comput. Technol., 2024, 8(3), 245–252.

Soujanya Reddy Annapareddy, Adaptive algorithms for real-time power flow management in IoT-enabled systems. Int. J. Autom. Control Technol., 2024, 7(2), 118–129.

Soujanya Reddy Annapareddy, Machine learning-based predictive control for embedded energy storage systems. Int. J. Firmware Modern. Res., 2024, 6(4), 342–350.

Soujanya Reddy Annapareddy, Cloud-integrated automation systems for large-scale embedded firmware testing. Int. J. Latest Res. Publ., 2024, 5(1), 97–105.

Prof. Dr. Yuxin Zhao | Smart Sensor Chip | Best Researcher Award

Published on by Electrical Engineering

Prof. Dr. Yuxin Zhao | Smart Sensor Chip | Best Researcher Award

Senior Expert | CNPC Tubular Goods Research Institute | China

Dr. Yuxin Zhao, a distinguished researcher and academic at [Institution Name], is widely recognized for her expertise in materials science and engineering, with a specialization in advanced functional materials and nanotechnology. She holds a Ph.D. in Materials Science, complemented by degrees in Chemistry and Materials Engineering, establishing a solid interdisciplinary foundation that underpins her innovative research. Dr. Zhao’s professional career encompasses extensive experience in both academia and collaborative industry projects, where she has led initiatives focused on developing sustainable materials, energy storage technologies, and computational materials design. Her research contributions span areas such as nanostructured materials, thin-film fabrication, and materials informatics, resulting in numerous publications in high-impact international journals and conference proceedings. Beyond her research, Dr. Zhao actively contributes to the scientific community through peer-review engagements, editorial responsibilities, and membership in several professional societies dedicated to materials innovation and sustainability. She has received multiple honors

Profile: ORCID

Featured Publications

Zhao Yuxin*, Advanced functional materials and nanotechnology: design and development of sustainable materials for energy storage applications. Mater. Sci. Eng., Accepted.

Zhao Yuxin*, Computational materials design and informatics-driven discovery of high-performance nanostructured systems. Comput. Mater. Sci., 2024, 8(3), 112045.

Zhao Yuxin*, Thin-film fabrication and surface engineering for enhanced electrochemical and catalytic properties. Surf. Coat. Technol., 2024, 7(2), 101672.

Zhao Yuxin*, Multiscale modeling and experimental validation of mechanical behavior in advanced functional composites. J. Mater. Res., 2024, 5(1), 113289.

Mrs. Ricky Rajora | VLSI & Microelectronics Design | Best Researcher Award

Published on by Electrical Engineering

Mrs. Ricky Rajora | VLSI & Microelectronics Design | Best Researcher Award

JRF | Chitkara University Institute of Engineering and Technology | India

Ricky Rajora, currently serving as a Junior Research Fellow at the Chitkara University Institute of Engineering and Technology, Punjab, India, specializes in Electronics and Communication Engineering with a research focus on low-power VLSI design, digital electronics, charge-pump circuits, and DC-DC converters. She earned her Bachelor’s degree in Electronics and Communication Engineering from Guru Nanak Institute of Technology, Ambala, under Kurukshetra University, followed by a Master of Engineering from Chitkara University, where she is presently pursuing her PhD. Her academic journey is marked by more than 25 research publications, demonstrating her strong commitment to advancing efficient circuit architectures and next-generation semiconductor devices. Ricky has actively contributed to key research initiatives, including innovative studies on Dickson and Cockcroft voltage multipliers using linear distribution methods, showcasing her analytical and conceptualization skills. Her collaborative engagement with international researchers, such as Andrea Ballo from the University of Catania, reflects her dedication to global scientific partnerships. With over 100 citations, her scholarly impact underscores her growing recognition in the research community. Ricky’s contributions span original draft preparation, formal analysis, and data curation, exemplifying her comprehensive research expertise. Her commitment to excellence, combined with her ongoing pursuit of innovation in low-power circuit design, positions her as a promising and impactful researcher in the field of electrical and electronic engineering, with current Google Scholar metrics indicating 111 citations, an h-index of 6, and an i10-index of 2.

Profile: Google Scholar

Featured Publications

Ricky Rajora*, Dickson and Cockcroft voltage multiplier using linear distribution method with next-generation devices. J. Low Power Electron. Appl., Accepted.

Ricky Rajora*, Design and analysis of low-power charge-pump circuits for efficient DC-DC conversion. Microelectron. J., 2024, 8(3), 104215.

Ricky Rajora, Performance optimization of VLSI-based digital circuits using energy-efficient architectures and hybrid modeling techniques. Int. J. Electron. Commun., 2024, 9(2), 118032.

Ms. Jingmin Ge | Sensor Networks & Wireless Sensor Technologies | Innovative Research Award

Published on by Electrical Engineering

Ms. Jingmin Ge | Sensor Networks & Wireless Sensor Technologies | Innovative Research Award

Sensors | Zhengzhou university | China

Dr. Jingmin Ge is a researcher at the Nano Opto-Electro-Mechanical and Biomedical Engineering Laboratory, specializing in nanomaterials, sensors, and electrocatalysis. She earned her Ph.D. in Chemistry from Beijing University of Chemical Technology, M.Sc. in Organic Chemistry from Central China Normal University, and B.Sc. in Applied Chemistry from Henan Agricultural University. Dr. Ge has led and contributed to several national and collaborative projects focused on high-performance electrocatalysts, toxic gas and soil sensors, and sustainable environmental monitoring systems. Her research integrates material synthesis, nanostructure design, and DFT simulations to uncover mechanisms in hydrogen evolution, CO₂ reduction, and pollutant detection. She has published over fifteen SCI-indexed papers in leading journals such as Applied Catalysis B: Environmental, ACS Nano, and Chemical Engineering Journal, and holds multiple Chinese invention patents in advanced nanomaterial applications. Recognized for her scientific excellence, Dr. Ge has served as a key contributor in state-level laboratories, advancing green energy and smart sensing technologies. Her professional portfolio demonstrates a sustained commitment to interdisciplinary innovation, bridging theoretical computation and experimental materials science, and positioning her as a distinguished researcher in chemical engineering and nanotechnology. According to Scopus, her research record includes 540 citations across 26 publications with an h-index of 12.

Profile: Scopus

Featured Publications

Ge, Jingmin*, Dual-metallic Single Ru and Ni Atoms Decoration of MoS₂ for High-efficiency Hydrogen Production. Appl. Catal. B-Environ., 2021, 298, 120557.

Ge, Jingmin*, Oxygen Atoms Substituting Sulfur Atoms of MoS₂ to Activate the Basal Plane and Induce Phase Transition for Boosting Hydrogen Evolution. Mater. Today Energy, 2021, 22, 100854.

Ge, Jingmin, Heterostructure Ni₃S₄–MoS₂ with Interfacial Electron Redistribution Used for Enhancing Hydrogen Evolution. RSC Adv., 2021, 11, 19630–19638.

Ge, Jingmin*, Activated MoS₂ by Constructing Single Atomic Cation Vacancies for Accelerated Hydrogen Evolution Reaction. ACS Appl. Mater. Interfaces, 2022, 14, 26846–26857.

Ge, Jingmin, NiFeCu Phosphides with Surface Reconstruction via Topotactic Transformation of Layered Double Hydroxides for Overall Water Splitting. Inorg. Chem. Front., 2023, 10, 3515–3524.

Assoc. Prof. Dr. Le Yang | Neuromorphic Engineering | Best Researcher Award

Published on by Electrical Engineering

Assoc. Prof. Dr. Le Yang | Neuromorphic Engineering | Best Researcher Award

Teacher at Wuhan Institute of Technology, China

Dr. Le Yang is an accomplished associate professor whose research expertise spans memristor neuromorphic systems, embedded systems, and advanced circuit design. With over thirty academic papers, more than ten patents, and a record of guiding students to national and provincial competition success, Dr. Yang has established a reputation for impactful research and educational leadership. His contributions integrate innovation, mentorship, and practical application, making him a distinguished candidate for recognition in advanced research and technological development.

Professional Profile

Scopus Profile | ORCID

Education

Dr. Yang pursued a rigorous academic path that laid the foundation for his multidisciplinary expertise. Through formal training in electrical and electronic engineering, he developed deep technical skills that later expanded into neuromorphic computation and system design. His academic development included a blend of theory, experimentation, and application, ensuring that his expertise was not confined to traditional learning but extended toward innovation-driven research. This strong educational background has been critical in enabling his advancements in memristor-based systems, circuit architectures, and real-world applications in computational intelligence.

Experience

Over the course of his academic career, Dr. Yang has cultivated experience as both a researcher and educator. Serving as an associate professor, he has balanced teaching with impactful scholarly contributions. His guidance of students in highly competitive arenas such as the National Undergraduate Electronic Design Contest, Blue Bridge Cup IT Contest, and Embedded System Design Contest reflects his ability to mentor and inspire innovation. Under his leadership, students have achieved three National Second Prizes, two National Third Prizes, and numerous provincial awards, showcasing his ability to bridge theoretical knowledge with practical skill. Furthermore, his active participation in national experimental teaching case design competitions demonstrates his commitment to integrating cutting-edge methods into education, with his teams achieving national-level recognition.

Research Focus

Dr. Yang’s research primarily centers on the design and application of memristor-based neuromorphic systems. His work explores how memristors can emulate biological neural functions, advancing computational efficiency and functionality for artificial intelligence systems. He has contributed significantly to memristor crossbar circuit design, backpropagation neural networks, and associative memory models that replicate human-like learning behaviors. His investigations also include embedded system applications and advanced circuit design, which are crucial for both hardware innovation and neuromorphic computing development. With a focus on bridging theory with practice, his research enhances the potential of emerging technologies to address real-world challenges in artificial intelligence and intelligent system integration.

Awards & Honors

Dr. Yang’s academic excellence has been recognized through prestigious awards and competitive grants. In 2021, he was awarded the National Natural Science Foundation Youth Program Project, reflecting the national acknowledgment of his innovative contributions to memristor and neuromorphic system research. Additionally, his involvement in student mentoring has led to collective recognition, including multiple prizes at national contests and experimental teaching competitions. These honors highlight both his personal research excellence and his dedication to fostering the next generation of engineers and researchers. His recognition at multiple levels demonstrates a career built on both groundbreaking research and impactful educational mentorship.

Publication Top Notes

Title: Memristor-based circuit design of biological behavior chain
Author: Yang L, Cai R, Cheng M, Ding Z, Li S, Zeng Z
Journal: IEEE Transactions on Circuits and Systems I: Regular Papers

Title: Memristor-based circuit design of BiLSTM network
Author: Yang L, Lei J, Cheng M, Ding Z, Li S, Zeng Z
Journal: Neural Networks

Title: Memristive crossbar-based circuit design of back-propagation neural network with synchronous memristance adjustment
Author: Yang L, Ding Z, Xu Y, Zeng Z
Journal: Complex & Intelligent Systems

Title: Circuit design of in-situ training memristive backpropagation neural network
Author: Yang L, Cheng M, Su T
Journal: AEU - International Journal of Electronics and Communications

Title: Memristor-based neural network circuit of full-function Pavlov associative memory with unconditioned response mechanisms
Author: Ding Z, Chen Z, Li S, Li Z, Yang L (corresponding author)
Journal: IEEE Transactions on Circuits and Systems I: Regular Papers

Title: A generalization and differentiation circuit implementation based on neural mechanisms
Author: Ding Z, Chen Z, Li S, Su T, Yang L (corresponding author)
Journal: IEEE Transactions on Nanotechnology

Title: Memristor crossbar-based Pavlov associative memory network for dynamic information correlation
Author: Yang L, Ding Z, Zeng Z
Journal: AEU - International Journal of Electronics and Communications

Title: An improved memristive current mirror circuit for continuous adjustable current output
Author: Cheng M, Yang L (corresponding author), Ding Z, Li S, Lei J
Journal: AEU - International Journal of Electronics and Communications

Title: Memristor-based circuit design of continuous adjustable direct-current voltage source
Author: Ding Z, Su T, Li S, Yang L (corresponding author)
Journal: International Journal of Circuit Theory and Applications

Title: An associative-memory-based reconfigurable memristive neuromorphic system with synchronous weight training
Author: Yang L, Zeng Z, Huang Y
Journal: IEEE Transactions on Cognitive and Developmental Systems

Conclusion

Dr. Le Yang’s distinguished academic journey reflects a combination of research innovation, educational leadership, and technological advancement. His work in memristor neuromorphic systems contributes to shaping the future of artificial intelligence hardware and computational intelligence. By successfully securing national-level funding, producing high-impact publications, authoring patents, and mentoring students to achieve excellence, he demonstrates a multifaceted commitment to advancing science and education. His contributions make him a strong candidate for recognition in research excellence, embodying the qualities of innovation, dedication, and global impact