Prof. Dr. YiSheng Huang | Computer Science | Best Researcher Award

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Prof. Dr. YiSheng Huang | Computer Science | Best Researcher Award

Professor, National Ilan University/EE, Taiwan

Dr. Yi-Sheng Huang is a distinguished Professor at National Ilan University, Taiwan, with a remarkable career in Electrical and Electronic Engineering. Holding a Ph.D. from National Taiwan University of Science and Technology (NTUST), he has significantly contributed to Discrete Event Dynamic Systems, Petri Nets, and Intelligent Transportation Systems (ITS). Recognized among the World’s Top 2% Scientists (1960–2023), his expertise spans both theoretical advancements and real-world applications, shaping the future of smart mobility and automation. With leadership roles in academia and international collaborations, Dr. Huang continues to drive impactful research and innovation in the field of intelligent systems. 🚀

Publication Profile

📚 Academic Background

Dr. Yi-Sheng Huang earned his Ph.D. in Electrical Engineering from NTUST in 2001, laying the foundation for his expertise in dynamic systems and intelligent transportation. His commitment to academic excellence led him to various leadership positions, including Chairman of the Department of Electrical Engineering at National Ilan University (2015–2019) and Dean of the Office of Research and Development (2023–2024). He also enriched his global academic experience as a Visiting Professor at the New Jersey Institute of Technology (2008, 2014), fostering cross-border collaborations in intelligent automation. 🎓

🏢 Professional Experience

With over two decades of academic and research contributions, Dr. Huang has completed 30 major research projects and collaborated with industry leaders such as CECI Engineering Consultants, INC., Taiwan. His consultancy work spans 6 completed and 7 ongoing industry projects, demonstrating his ability to bridge theoretical research with practical applications. He is an esteemed member of the IEEE SMC Society and IEEE ITS Society, further solidifying his influence in cutting-edge technological advancements. His extensive publication record includes 114 journal papers indexed in Scopus and SCI, reflecting his commitment to advancing the field of intelligent systems. ⚡

🏆 Awards and Honors

Dr. Huang’s research excellence has earned him a place among the World’s Top 2% Scientists (1960–2023), highlighting his profound impact on electrical engineering and intelligent systems. His work has significantly influenced transportation optimization, making urban mobility smarter and more efficient. As a leading researcher, he continues to push the boundaries of Discrete Event Dynamic Systems and Petri Nets applications, setting new standards in system modeling and control. His contributions have been acknowledged globally, reinforcing his reputation as a pioneering scientist in his field. 🏅

🔬 Research Focus

Dr. Huang’s research revolves around Discrete Event Dynamic Systems, Petri Nets, and Intelligent Transportation Systems (ITS). His work has led to advanced methodologies in traffic flow management, congestion control, and system optimization, improving urban transport networks. By integrating theoretical models with real-world applications, he has contributed to automated decision-making frameworks, enhancing efficiency and sustainability in transportation. His research is instrumental in shaping smart cities and next-generation mobility solutions, fostering safer and more efficient transport ecosystems worldwide. 🚦

🔍 Conclusion

Dr. Yi-Sheng Huang stands at the forefront of intelligent transportation research, driving significant innovations in automation and dynamic systems. His global academic presence, extensive research contributions, and impactful industry collaborations establish him as a leading figure in electrical engineering and intelligent mobility solutions. With a legacy of over 114 publications, numerous research projects, and an enduring influence in academia, Dr. Huang continues to shape the future of intelligent transportation and automated systems. 🌍🚀

📝 Top Publications

A Petri net-based model for real-time traffic control in urban networks.

Optimization of discrete event systems using hybrid Petri nets.

Modeling and performance analysis of ITS using dynamic Petri nets.

Smart transportation planning with discrete event system simulation.

Enhancing automated transport systems using intelligent Petri nets.

 

Yunhyung LEE | Computer science| Best Researcher Award

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Prof. Dr. Yunhyung LEE | Computer Science | Best Researcher Award

Professor, Korea Institute of Maritime and Fisheries Technology, South Korea

Dr. Yunhyung Lee is a distinguished professor at the Korea Institute of Maritime and Fisheries Technology and an adjunct professor at Korea Maritime and Ocean University. With an academic journey spanning nearly two decades, Dr. Lee has made significant contributions to marine systems engineering, control systems, and maritime research. A prolific researcher and academician, he is known for his innovative approaches in marine electric systems, fuzzy control, and genetic algorithms. His commitment to fostering maritime education and cutting-edge research has earned him several accolades and a global reputation in his field. 🌐✨

Publication Profile

ORCID

Education 🎓

Dr. Lee graduated summa cum laude with a Bachelor’s degree in Marine System Engineering from Korea Maritime and Ocean University in 2002. He further earned his Master’s degree in 2004 and completed his Ph.D. in Mechatronics Engineering in 2007. His academic excellence is reflected in multiple awards, including the President’s Award for graduating with the highest honors. 🏆📚

Professional Experience 💼

Dr. Lee began his academic career as a part-time lecturer at Korea Maritime and Ocean University and Youngsan University. From 2008 to 2014, he served as a professor at the Korea Port Training Institute before joining the Korea Institute of Maritime and Fisheries Technology in 2014. Simultaneously, he has been an adjunct professor at Korea Maritime and Ocean University since 2015. His practical experience includes spearheading innovative research projects and consulting for industry collaborations. ⚙️🛳️

Awards and Honors 🏅

Dr. Lee’s outstanding achievements have been recognized through numerous awards, including the Albert Nelson Marquis Lifetime Achievement Award (2018) and the Young Researcher Award from the Korean Society of Marine Engineering (2015). He has also been honored for his contributions to education and research with awards such as the Best Paper Award by the Korean Federation of Science and Technology Societies (2006) and the Citation for Excellence in Lecturing by Korea Maritime and Ocean University (2008). 🌟🎖️

Research Focus 🔬

Dr. Lee’s research encompasses control engineering, marine electric systems, genetic algorithms, fuzzy control, and PID control. His studies aim to enhance the safety, efficiency, and reliability of marine propulsion systems and other maritime technologies. Through numerous research projects and innovative solutions, he has significantly advanced the field of marine and fisheries technology. 🌊⚡

Conclusion 🌟

Dr. Yunhyung Lee’s exceptional career reflects his dedication to advancing marine and maritime technology through research, education, and industry collaboration. His passion for innovation and his unwavering commitment to excellence make him a leading figure in his field. 🌏✨

Publications 📚

Application of Real-Coded Genetic Algorithm–PID Cascade Speed Controller to Marine Gas Turbine Engine Based on Sensitivity Function Analysis
Mathematics, 2025 – Cited by: 5

Development of Hull Care for Warships Based on a Manned-Unmanned Hybrid System: Focusing on the Underwater Hull Plate
Journal of the KNST, 2024 – Cited by: 3

Modeling and Parameter Estimation of a 2DOF Ball Balancer System
Journal of the Korea Academia-Industrial Cooperation Society, 2024 – Cited by: 4

Ground-Fault Recognition in Low-Voltage Ships Based on Variation Analysis of Phase-to-Ground Voltage and Neutral-Point Voltage
IEEE Access, 2024 – Cited by: 8

Speed Control for Low Voltage Propulsion Electric Motor of Green Ship through DTC Application
Journal of the Korea Academia-Industrial Cooperation Society, 2023 – Cited by: 6

RCGA-PID Controller Based on ITAE for Gas Turbine Engine in the Marine Field
The Journal of Fisheries and Marine Sciences Education, 2023 – Cited by: 3

PID Controller Design Based on Direct Synthesis for Set Point Speed Control of Gas Turbine Engine in Warships
Journal of the Korean Society of Fisheries Technology, 2023 – Cited by: 2

Study on Speed Control of LM-2500 Engine Using IMC-LPID Controller
Journal of the Korea Academia-Industrial Cooperation Society, 2022 – Cited by: 7

A Study on the Training Contents of AC DRIVE of the HV Electrical Propulsion Ships
Journal of Fisheries and Marine Sciences Education, 2021 – Cited by: 4

Amutha S | Computer Science | Best Researcher Award

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Dr. Amutha S | Computer Science | Best Researcher Award

Professor, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, India

👩‍🏫 Dr. S. Amutha is a Professor at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai. With over two decades of teaching and research experience, she has made notable contributions to cybersecurity, wireless networks, and AI-based innovations in healthcare and agriculture. Her dedication to academic excellence and impactful research has earned her numerous accolades and professional recognition.

Publication Profile

Strengths for the Award:

  1. Extensive Research Contributions: Dr. S. Amutha has published 17 research papers in SCI and Scopus-indexed journals, highlighting her impact on key areas such as network security and wireless ad-hoc networks. Her work focuses on high-impact fields like cybersecurity, deep learning, and blockchain technologies, making her contributions highly relevant in today’s technological landscape.
  2. Interdisciplinary Research: Dr. Amutha’s research spans multiple domains, including healthcare (medical image analysis, ECG signal detection) and agriculture (crop health monitoring). Her integration of AI, data science, and real-world applications strengthens her profile as a leading interdisciplinary researcher.
  3. Innovative Approach: Dr. Amutha has worked on cutting-edge topics, such as federated learning and CNN autoencoders, for solving problems in text classification and medical diagnostics. Her research also focuses on cybersecurity applications using deep learning models to detect Trojan attacks and improve phishing detection, demonstrating her innovative problem-solving capabilities.
  4. Research Output: With 9 patents under process, 27 international publications, book chapters, and strong editorial appointments, Dr. Amutha shows a prolific research output. She has also led consultancy projects, demonstrating an ability to bridge academia with industry.

Areas for Improvement:

  1. Research Citations: With a citation index of 29, there is room to increase the academic visibility of her work. Engaging more with collaborative research networks, open-access platforms, and conferences can boost her citation count.
  2. International Collaborations: While Dr. Amutha has significant research collaborations, broadening international partnerships could further elevate her research’s global impact, increasing her recognition in global academic circles.

Education

🎓 Dr. Amutha completed her B.E. in Computer Science and Engineering from Madurai Kamaraj University in 1999. She pursued an M.E. in Computer Science and Engineering at Anna University, Chennai, securing First Class with Distinction. Later, she earned her Ph.D. in Secure Routing in Wireless Adhoc Networks from Anna University.

Experience

💼 Dr. Amutha has served as an Associate Professor at PSR Engineering College, Tamil Nadu, from 2003 to 2023, before transitioning to her current role as Professor. She has guided numerous undergraduate and postgraduate students and has been actively involved in organizing workshops and faculty development programs. Her extensive experience includes delivering expert talks in machine learning and data science.

Research Focus

🔍 Dr. Amutha’s research spans network security, wireless ad hoc networks, and the application of AI in cybersecurity. Her interdisciplinary work includes deep learning models for detecting cyber threats, and AI innovations in healthcare, such as ECG signal detection and medical image analysis. She has also contributed to advancements in smart agriculture through federated learning applications.

Awards and Honours

🏆 Dr. Amutha has been recognized for her research and innovation, earning awards in both academia and industry collaborations. She is a life member of prestigious professional organizations such as ISTE and IEANG, and has consistently contributed to workshops and conferences as a speaker and organizer.

Publications (Top Notes)

📚 Dr. Amutha has published 27 research papers in reputed international journals and presented 15 papers in international conferences. She has also contributed to book chapters, demonstrating her scholarly impact across various domains.

  1. Amutha, S., “Secure Routing in Wireless Adhoc Networks,” International Journal of Advanced Research in Computer Science and Software Engineering, 2022. Cited by 29 articles – Focuses on routing security challenges in wireless networks.
  2. Amutha, S., “AI for Cybersecurity: Deep Learning Approaches,” Journal of Network Security, 2021. Cited by 15 articles – Explores the use of AI in detecting cyber threats.

Conclusion:

Dr. S. Amutha’s strengths in cutting-edge research, practical applications, and interdisciplinary innovation make her a strong contender for the Best Researcher Award. She demonstrates a balance of academic excellence, industry relevance, and forward-thinking research in fields that are critical to technological and societal progress. While expanding international collaboration and citations could enhance her profile, her current contributions merit recognition for her impactful and diverse research endeavors.

GAN XU | Computer Science | Best Researcher Award

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Mr. GAN XU | Computer Science | Best Researcher Award

PhD. candidate, capital university of economics and business, China

Xu Gan is a Doctoral student at Capital University of Economics and Business, Beijing, specializing in Rural Finance, Financial Theory and Policy, and Supply Chain Finance. With a solid academic background and practical experience, Xu has contributed significantly to research in financial services and blockchain technology. 🏛️📚

Profile

Scopus

 

Education

Xu Gan completed a Master of Finance from Capital University of Economics and Business in Beijing (2018-2021) and a Bachelor of Biotechnology from Beijing Union University (2006-2010). Xu also has an extensive academic background in these fields, providing a strong foundation for research and analysis. 🎓📈

Experience

Xu has actively participated in several high-profile research projects, including the National Social Science Foundation of China’s research on rural financial services and the China Mobile Communication Federation’s blockchain technology applications in finance. Xu was responsible for designing research sub-topics and writing research reports. 📊🔬

Research Interests

Xu Gan’s research interests include Rural Finance, Financial Theory and Policy, and Supply Chain Finance. Xu is focused on improving rural financial services and exploring innovative financial technologies such as blockchain. 🌾💡

Awards

Xu has been recognized for academic excellence with several honors: Beijing Outstanding Graduates (2020), Outstanding Graduate of Beijing Union University (2020), and several awards for excellent papers at various financial and rural finance forums. 🏅📜

Publications

Yang, GZ., Xu, G., Zhang, Y., et al. Financial density of village banks and income growth of rural residents. Economic Issues, 2021, 504(08): 89-94.

Zhang, F., Xu, G., Zhang, XY, Cheng, X. Knowledge mapping analysis of seven decades of rural finance research in China. Rural Finance Research, 2020(01): 10-20.

Zhang, F., Xu, G., Cheng, X. A review of blockchain applications in the financial sector. Technology for Development, 2019, 15(08): 865-871.

Hafiza Sadia Nawaz | Computer Science | Women Researcher Award

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Dr. Hafiza Sadia Nawaz | Computer Science | Women Researcher Award

Shenzhen University, China

🎓 Dr. H. Sadia Nawaz is a distinguished researcher and academic in Computer Vision, with a Ph.D. from Ocean University of China. Her work focuses on Temporal Activity Detection using Natural Language. With a background in both teaching and research, she has contributed significantly to the field of computer vision and continues to pursue a career as a postdoctoral researcher. Her extensive knowledge and dedication to the subject make her a valuable asset to any research group.

Profile

Scopus

 

Education

📚 Dr. H. Sadia Nawaz holds a Ph.D. in Computer Science from Ocean University of China, specializing in Temporal Moment Localization using Natural Language. She also completed her Master’s in Information Science and Technology at the University of Sargodha and an MS in Computer Science and Technology with a focus on Cyber Security at the University of Lahore. Her academic background provides a strong foundation for her research and teaching roles.

Experience

💼 Dr. Nawaz has a robust teaching background, having served as a Programming Teaching Assistant at Heriot-Watt University and Ocean University of China, and as a Computer Science Lecturer at Superior University of Lahore and the University of Sargodha. Her roles in academia have honed her skills in teaching, mentoring, and research, contributing to her expertise in computer vision and machine learning.

Research Interests

🔍 Dr. Nawaz’s research interests include Activity Localization in Videos via Language, Temporal Moment Detection, and Natural Language Processing. She is particularly focused on moment detection in complex scenarios and the integration of machine learning methods with computer vision techniques to enhance video understanding and activity localization.

Awards

🏅 Dr. H. Sadia Nawaz has been recognized for her research contributions in the field of computer vision, particularly for her work on Temporal Moment Localization using Natural Language. Her research has been published in high-impact journals, reflecting her expertise and commitment to advancing the field.

Publications

Temporal Moment Localization via Natural Language by Utilizing Video Question Answers as a Special Variant and Bypassing NLP for Corpora

IVTEN – Integration of Visual-Textual Entities for Temporal Activity Localization via Language in Video

Revelation of Novel Paradigm in Temporal Moment Localization by Using Natural Language in Video

Multi-level Edges and Context Arranger Architecture Using Referencing Expressions for Temporal Moment Localization via Natural Language

A Frame-Based Feature Model for Violence Detection from Surveillance Cameras Using ConvLSTM Network

Tidjani Négadi | Computer Science | Best Researcher Award

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Dr. Tidjani Négadi | Computer Science | Best Researcher Award

recently retired, Physics Department, Faculty of Exactand Applied Science, University Oran 1 Ahmed Ben Bella, Oran 31100, Algeria,

📅 Born on January 26, 1950, in Tlemcen, Algeria, Tidjani Négadi is a distinguished Maître de Conférence at the Physics Department, Faculty of Exact and Applied Science, University Oran 1 Ahmed Ben Bella, Oran, Algeria. With a profound interest in theoretical and mathematical biology, Négadi has significantly contributed to various fields, especially in exploring the connections between physics and biological systems.

Profile

Google Scholar

Education

🎓 Tidjani Négadi earned his Doctorat de 3ème Cycle in Nuclear Physics in 1976 and a Doctorat d’Etat Es-Science Physiques in Theoretical Physics in 1988, both from the Institut de Physique Nucléaire IN2P3, Université Claude Bernard Lyon-I, France. His extensive education laid the foundation for his interdisciplinary research spanning nuclear physics, theoretical physics, and mathematical biology.

Experience

💼 Négadi’s academic journey began in 1976, teaching Quantum Mechanics and its applications until 1989. He later taught Atomic and Molecular Physics, and Group Theory until 2002, after which he focused solely on research, particularly in Mathematical Biology. His teaching portfolio also includes Special Relativity, Astronomy, and Astrophysics from 2015 to 2018. His editorial roles and contributions to esteemed journals and conferences highlight his expertise and dedication to advancing scientific knowledge.

Research Interests

🔬 Négadi’s research interests are vast and interdisciplinary, focusing on the mathematical modeling of biological systems, particularly the genetic code. He has explored the symmetries in the genetic code, the use of Fibonacci and Lucas numbers, and the application of quantum-like approaches to biological systems. His work bridges the gap between physics and biology, offering novel insights into genetic information and its underlying structures.

Awards

🏆 Tidjani Négadi’s contributions to science have been recognized with several prestigious awards and honors. He has served as a member of the Executive Board and Advisory Board of the International Symmetry Association (ISA) and the Advisory and Editorial Board of NeuroQuantology. His role as a guest editor for various special issues in prominent journals showcases his leadership in the scientific community.

Publications

1976: Lifetimes of levels in 64Zn from Doppler shift measurements via 61Ni(a,n) 64Zn reaction, Phys. Rev. C13, cited by 10 articles.

1983: On the connection between the hydrogen atom, and the harmonic oscillator, Lett. Nuovo Cimento, cited by 15 articles.

1983: On the connection between the hydrogen atom, and the harmonic oscillator: the continuum case, J. Phys. A16, cited by 12 articles.

1984: Connection between the hydrogen atom, and the harmonic oscillator: the zero-energy case, Phys. Rev. A29, cited by 9 articles.

1984: Hydrogen atom in a uniform electromagnetic field as an anharmonic oscillator, Lett. Nuovo Cimento, cited by 7 articles.

Zhiping Liu | Human-Computer Interaction | Best Researcher Award

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Mr. Zhiping Liu | Human-Computer Interaction | Best Researcher Award

Researcher, Zibo Comprehensive Bonded Zone Development Service Center, China

Zhiping Liu is a dedicated researcher at the Zibo Comprehensive Bonded Zone Development Service Center in Zibo, Shandong Province, China. With a multifaceted background that spans Industrial Design Engineering, Biomedical Engineering, Psychology, and Computer Science, Zhiping brings a rich blend of theoretical knowledge and practical expertise to his work. He focuses on enhancing digital user experiences through innovative interface designs, integrating both aesthetic and functional elements.

Profile

ORCID

Education 🎓

Zhiping Liu holds a Master’s degree in Industrial Design Engineering from the Mechanical College of Shandong University. His academic journey has provided him with a robust foundation in various disciplines, including Industrial Design Engineering, Biomedical Engineering, Psychology, and Computer Science, equipping him with the skills needed to excel in the field of digital interface design.

Experience 🛠️

Zhiping’s professional experience is marked by his involvement in various research and consultancy projects at the Zibo Comprehensive Bonded Zone Development Service Center. He has played a pivotal role in optimizing digital interfaces, leveraging his expertise to improve user satisfaction and interface efficiency. His work often involves the integration of the Analytic Hierarchy Process with visual design elements, aiming to create more intuitive and effective digital solutions.

Research Interests 🔍

Zhiping Liu’s research interests lie in digital interface design, user experience optimization, and the integration of aesthetic and functional aspects in digital products. His innovative approach involves using the Analytic Hierarchy Process to enhance visual design elements, thereby improving the overall efficiency and user satisfaction of digital interfaces. He is keen on exploring new methodologies that bridge the gap between subjective aesthetic judgments and objective usability metrics.

Awards 🏆

Zhiping Liu has made notable contributions to the field of digital interface design, earning recognition for his innovative research methods. His work on integrating the Analytic Hierarchy Process with visual design principles has been particularly impactful, offering a structured approach to optimizing digital interfaces. Through his research, Zhiping has provided valuable insights and advancements that have significantly improved the field’s understanding and application of digital design principles.

Publications 📚

Liu, Z., “Integrating Analytic Hierarchy Process with Visual Design Elements,” International Journal of Human-Computer Interaction, 2023. [Cited by: 12 articles]

Liu, Z., “Optimizing User Experience through Digital Interface Design,” Journal of Digital Design, 2022. [Cited by: 8 articles]

Liu, Z., “Aesthetic and Functional Integration in Digital Products,” Design Science Journal, 2021. [Cited by: 10 articles]