Vikas Verma | Computer Science | Young Scientist Award

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Mr. Vikas Verma | Computer Science
| Young Scientist Award

The ICFAI University, Jaipur | India

Dr. Vikas Verma’s research contributions focus extensively on Software Defined Networking (SDN), Machine Learning, and Network Optimization, emphasizing energy efficiency, intelligent routing, and data-driven automation. His doctoral research, “Flow Classification and Energy Efficient Routing in Software Defined Networks Using Machine Learning Techniques,” explores the integration of adaptive algorithms for sustainable network management. His projects, including “Routing Optimization for Software-Defined Networking Using Machine Learning Techniques and Multi-Domain Controller” and “Industry-Academia Collaboration of SME with Academics,” demonstrate practical applications of AI in networking and innovation ecosystems. Dr. Verma’s publications in high-impact journals and conferences, such as the Philippine Journal of Science, Suranaree Journal of Science and Technology, IEEE Xplore, and Springer CCIS, address key advancements in SDN, IoT-based smart farming, and quantum communication security. His work “Energy-Efficient Techniques in SDN: Software, Hardware, and Hybrid Approaches” and “Comparative Analysis of Quantum Key Distribution Protocols” highlight optimization in computing systems and secure data transmission. Additionally, he holds two UK design patents—one for an AI-driven finance management device and another for a medical diagnostic system using saliva-based biomarkers. His current research extends to privacy preservation, intelligent traffic classification, and predictive analytics, establishing his expertise in sustainable and secure intelligent network systems.

Featured Publications

Verma, V., & Jain, M. (2024). Energy-efficient techniques in SDN: Software, hardware, and hybrid approaches. Philippine Journal of Science, 153(1).

Agarwal, N., & Verma, V. (2023). Comparative analysis of quantum key distribution protocols: Security, efficiency, and practicality. In Proceedings of the International Conference on Artificial Intelligence of Things (pp. 151–163).

Verma, V., Ramakant, Mathur, H., & Agarwal, N. (2022). IoT assisted smart farming using data science techniques. In 2022 IEEE World Conference on Applied Intelligence and Computing (AIC). IEEE.

Verma, V. (2017). Automatic mood classification of Indian popular music. International Journal for Research in Applied Science and Engineering.

Verma, V., & Jain, M. (2023). Optimization of routing using traffic classification in software defined networking. Suranaree Journal of Science and Technology, 30(1), 010198(1–8).*

Wei Huang | Computer Science | Best Researcher Award

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Dr. Wei Huang | Computer Science | Best Researcher Award

Jingdezhen University | China

Dr. Wei Huang is a distinguished researcher and academician specializing in the integration of computer science and artificial intelligence in civil aviation. Currently serving at the School of Information Engineering, Jingdezhen University, Dr. Huang has made significant contributions to advancing aviation technology, with a strong focus on aircraft landing systems, runway marking recognition, and low-altitude economic applications. With extensive experience in both academia and industry, Dr. Huang has collaborated with aviation companies and government institutions, leading groundbreaking projects aimed at enhancing aviation safety and operational efficiency. His research combines deep learning, computer vision, and cutting-edge AI models to address real-world aviation challenges. As an expert evaluator for several scientific and technology associations, Dr. Huang actively supports innovation and knowledge exchange in the aviation sector. With numerous publications in high-impact journals and patents to his credit, he stands as a thought leader driving forward the future of intelligent aviation systems and technologies.

Profile

 Orcid

Education 

Dr. Wei Huang pursued his academic training with a focus on advanced computing and aviation systems, culminating in a PhD in Computer Science from the Russian Academy of Sciences, one of the most prestigious research institutions known for producing leading scientists in computational and engineering disciplines. Alongside his doctoral studies, Dr. Huang earned an Air Traffic Control License from the Civil Aviation Administration of China, a credential that demonstrates his expertise in aviation operations and his commitment to integrating theoretical knowledge with practical application. His educational journey reflects a multidisciplinary foundation, blending advanced computer science principles, artificial intelligence algorithms, and aviation system design. This unique academic background has enabled him to bridge the gap between cutting-edge computing innovations and their direct application in civil aviation. Dr. Huang’s education has provided him with a strong platform to pioneer technologies in intelligent aviation, low-altitude airspace research, and safety-driven innovations through data-driven approaches.

Experience 

Dr. Wei Huang’s professional journey reflects a distinguished career in research, teaching, and industry collaborations. At Jingdezhen University’s School of Information Engineering, he has been instrumental in shaping research initiatives that focus on artificial intelligence applications in aviation safety and low-altitude economic development. His work bridges academic theory and industrial needs, demonstrated through his collaboration with Jiangxi Helicopter Co., Ltd. on helicopter technology advancements and his leadership in AI-powered aviation marking recognition systems. As an expert reviewer and project evaluator for the Jiangxi Association for Science and Technology and other leading organizations, Dr. Huang contributes to national and regional scientific innovation assessments. His experience spans the supervision of projects funded by governmental bodies, the publication of high-impact research papers, and the development of patents that advance civil aviation. He has also built strong academic-industry partnerships, positioning himself as a leading expert at the intersection of computing and aviation engineering, innovation, and technology.

Awards and Honors

Dr. Wei Huang has received recognition for his pioneering work in computer science applications for civil aviation. His innovations, including AI-powered runway marking recognition systems, have contributed to improved aviation safety and operational efficiency, earning him respect in both academic and industrial spheres. He serves as an expert reviewer for academic journals, including the Journal of Jingdezhen University, showcasing his expertise in evaluating high-level research. Additionally, his role as a project evaluator for the Jiangxi Association for Science and Technology and the Low Altitude Leading Alliance highlights his contributions to guiding strategic research initiatives and fostering technology development. His patents and publications have further established his influence in advancing aviation-focused AI technologies. Through his efforts, Dr. Huang has become a valued leader in shaping aviation innovation policies, inspiring researchers, and contributing to China’s growing expertise in AI-driven aerospace technology. His achievements reflect excellence in interdisciplinary research and scientific innovation.

Research Focus 

Dr. Wei Huang’s research focuses on integrating computer science and artificial intelligence into aviation systems, with particular emphasis on improving low-altitude flight safety and efficiency. He specializes in computer vision, deep learning, and intelligent detection algorithms applied to aircraft landing systems. One of his major contributions is the development of an enhanced YOLOv5s-based detection model that improves accuracy in runway marking recognition, demonstrating measurable advancements in precision and reliability. His research combines techniques such as convolutional neural networks, attention mechanisms, deformable convolution, and data augmentation to create innovative solutions for real-world aviation challenges. Beyond algorithm development, Dr. Huang’s work extends to helicopter system optimization, aviation operations, and low-altitude economic growth strategies, making his contributions both technically robust and highly practical. His projects, patents, and publications underscore his leadership in AI applications for civil aviation. By bridging academia and industry, he is shaping future trends in intelligent aviation systems and aeronautical safety engineering.

Publication

Title: Research on Optimized YOLOv5s Algorithm for Detecting Aircraft Landing Runway Markings
Year: 2025

Conclusion

Dr. Huang is an outstanding researcher whose work reflects excellence, originality, and dedication to innovation in civil aviation technology. His ability to bridge advanced research with practical applications positions him as a strong candidate for the Best Researcher Award. With continued efforts to expand global recognition and collaborative impact, he is poised to make even greater contributions to the scientific community.