Xingyan Chen | Computer Networks | Best Researcher Award

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Assoc. Prof. Dr. Xingyan Chen | Computer Networks | Best Researcher Award

Associate Professor, Southwestern University of Finance and Economics, China

Dr. Chen Xingyan is an esteemed Associate Professor at the School of Computer and Artificial Intelligence, Southwestern University of Finance and Economics. He holds a Ph.D. in Engineering from Beijing University of Posts and Telecommunications 🎓. His research spans generative AI applications, large language models, distributed computing networks, multimedia communication, and reinforcement learning 🤖. With over 30 publications in top-tier journals and conferences, including IEEE INFOCOM, IEEE TMC, IEEE TMM, and IEEE TCSVT, Dr. Chen has made significant contributions to advancing AI-driven networked systems. He has led multiple national and provincial research projects, making him a distinguished figure in AI and computing research.

Publication Profile

🎓 Education

Dr. Chen Xingyan earned his Ph.D. in Engineering from Beijing University of Posts and Telecommunications, where he specialized in AI-driven multimedia communication and networked computing. His academic journey has been marked by excellence in research, leading to impactful contributions in distributed AI and reinforcement learning applications 📡.

💼 Experience

Dr. Chen is currently an Associate Professor at Southwestern University of Finance and Economics, where he actively engages in cutting-edge research and mentorship. He has been a principal investigator for several prestigious projects, including the NSFC Youth Fund and Sichuan Provincial Natural Science Fund. His consultancy work with leading tech firms like Huawei and China Electronics Technology Group further highlights his industry influence. Additionally, Dr. Chen has played a pivotal role in research projects related to 5G streaming, blockchain-based cloud computing, and immersive video transmission 🎥.

🏆 Awards and Honors

Dr. Chen has been recognized for his groundbreaking research with several prestigious grants and awards. He has received funding from the National Natural Science Foundation of China and the Sichuan Provincial Science and Technology Department. His expertise in AI and multimedia systems has earned him notable accolades in academia and industry 🏅.

🔬 Research Focus

Dr. Chen’s research is centered on generative AI, multimedia communication, federated learning, and reinforcement learning. His work on immersive video transmission, cloud-edge computing, and blockchain-enhanced computing frameworks has been widely cited and influential. He continues to innovate in the field, developing AI-driven methodologies for large-scale distributed networks and next-generation communication systems 🌐.

🔚 Conclusion

Dr. Chen Xingyan stands at the forefront of AI-driven computing and multimedia systems, making substantial contributions through innovative research and industry collaborations. His work in AI, distributed computing, and multimedia communication has not only advanced theoretical knowledge but also influenced practical applications in 5G, blockchain, and federated learning. With a strong research portfolio, prestigious awards, and impactful industry partnerships, Dr. Chen continues to shape the future of AI-powered networked systems 🚀.

🔗 Publications

Towards Optimal Customized Architecture for Heterogeneous Federated Learning with Contrastive Cloud-Edge Model Decoupling. IEEE Transactions on Computers. [Cited by 15] 🔗

A Novel Adaptive 360° Livestreaming with Graph Representation Learning-based FoV Prediction. IEEE Transactions on Emerging Topics in Computing. [Cited by 12] 🔗

A Federated Transmission Framework for Panoramic Livecast with Reinforced Variational Inference. IEEE Transactions on Multimedia. [Cited by 20] 🔗

A Multi-user Cost-efficient Crowd-assisted VR Content Delivery Solution in 5G-and-beyond Heterogeneous Networks. IEEE Transactions on Mobile Computing. [Cited by 18] 🔗

A Universal Transcoding and Transmission Method for Livecast with Networked Multi-Agent Reinforcement Learning. IEEE INFOCOM. [Cited by 25] 🔗

Augmented Queue-Based Transmission and Transcoding Optimization for Livecast Services Based on Cloud-Edge-Crowd Integration. IEEE Transactions on Circuits and Systems for Video Technology. [Cited by 22] 🔗

Learning Bi-typed Multi-relational Heterogeneous Graph via Dual Hierarchical Attention Networks. IEEE Transactions on Knowledge and Data Engineering. [Cited by 30] 🔗

BC-Mobile Device Cloud: A Blockchain-Based Decentralized Truthful Framework for Mobile Device Cloud. IEEE Transactions on Industrial Informatics. [Cited by 17] 🔗

Differential Privacy Oriented Distributed Online Learning for Mobile Social Video Prefetching. IEEE Internet of Things Journal. [Cited by 19] 🔗

Optimal Information Centric Caching in 5G Device-to-Device Communications. IEEE Transactions on Circuits and Systems for Video Technology. [Cited by 23] 🔗

BC-MetaCast: A Blockchain-enhanced Intelligent Computing Framework for Metaverse Livecast. IEEE Network. [Cited by 14] 🔗

José Olimpio Batista Jr. | Computer Networks | Best Researcher Award

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Dr. José Olimpio Batista Jr. | Computer Networks | Best Researcher Award

Postdoctoral researcher in Computer Engineering, Escola Politécnica da Universidade de São Paulo (EP-USP, the School of Engineering – University of São Paulo), Brazil

José Olimpio Rodrigues Batista Jr. is a dedicated postdoctoral researcher in Computer Engineering at the Escola Politécnica da Universidade de São Paulo (EP-USP) in Brazil. With a strong background in telecommunications and data communication systems, José has made significant contributions to advancing 5G technologies and digital health applications, particularly through the OpenCare5G project. His work emphasizes the intersection of technology and healthcare, aiming to expand access to medical services in Brazil and beyond.

Publication Profile

ORCID

Strengths for the Award:

  1. Extensive Research & Innovation: José Olimpio Rodrigues Batista Jr.’s research in 5G technology, particularly in the OpenCare5G project, is groundbreaking. His work in expanding access to healthcare using 5G and digital health applications reflects both technical expertise and social impact, which are highly valued in awards.
  2. Collaboration & Multidisciplinary Approach: The OpenCare5G project showcases José’s ability to collaborate with leading institutions, such as Deloitte, ANATEL, and Itaú Bank, demonstrating his ability to work across sectors and disciplines.
  3. Academic and Industry Contributions: José has published extensively in top journals (SCI, Scopus) and authored a book on wireless sensor networks in agriculture, furthering his reputation as a thought leader in telecommunications and 5G technologies.
  4. Real-World Application: His contributions to healthcare and telecommunications have tangible societal impacts, such as reducing medical costs, improving access to quality healthcare, and promoting sustainability by lowering the sector’s carbon footprint.
  5. Leadership and Expertise in Telecommunications: His extensive professional background with Huawei and other organizations has equipped him with experience in managing large-scale, complex data communication projects, making him a valuable figure in both academic and industry settings.

Areas for Improvement:

  1. Broader Impact Documentation: While his research impact on healthcare and telecommunications is significant, additional documentation on his contributions to public policy or broader socio-economic outcomes could strengthen his case.
  2. International Recognition: Further emphasis on international collaborations, beyond his work in Brazil and Latin America, could help boost his profile as a global thought leader.
  3. Community Engagement & Mentorship: Highlighting his contributions to mentoring young researchers or community outreach would add a personal dimension to his technical achievements.

 

Education

José holds a Ph.D. in Computer Engineering from EP-USP, earned in 2023. He completed his B.Sc. in Electronic Engineering from Mackenzie Presbyterian University in 1998, laying the foundation for his expertise in telecommunications and complex data communication networks.

Experience

José has extensive professional experience, having worked for Huawei Technologies from 2001 to 2017 in various roles, including project management and data communication product line management. His work focused on implementing and operating large-scale communication projects across Brazil, Peru, Ecuador, and Mexico. He is currently an associate researcher with the Science and Technology Center (CCT) and the São Paulo Research Foundation (FAPESP), contributing to various multidisciplinary initiatives, including OpenCare5G.

Research Focus

José’s research interests center around the development of 5G/B5G, Internet of Things (IoT), Network Function Virtualization (NFV), Software-Defined Networking (SDN), Non-Terrestrial Networks (NTN), and distributed cloud computing. His innovative research on the OpenCare5G project focuses on the application of advanced telecommunications systems to improve access to healthcare services and reduce carbon footprints in the medical sector.

Awards and Honors

José has co-authored several books and journal articles in prestigious international journals, contributing to the fields of 5G and telecommunications. His work on the OpenCare5G project has been widely recognized for its impact on healthcare and digital services in Brazil. He has also served as an editorial appointee for the journal Computer Communications and actively collaborates with the Asia Open RAN Academy.

Publications

José has contributed to numerous high-impact research publications, including articles in journals like Applied Sciences and Sensors, and conference proceedings such as the ICTC and EFITA Congress. His doctoral thesis, titled 5G-Transversal, explored a hierarchical framework for federated orchestration of 5G networks. He has also published books, such as Evaluating the performance of a simulated softwarized agricultural wireless sensor network in collaboration with Springer International Publishing.

5G-Transversal: um framework para orquestração hierárquica federada dos serviços de redes 5G e gerações futuras em domínios heterogêneos.

OpenCare5G: O-RAN in Private Network for Digital Health Applications

Redes Computacionais e Tecnologia 5G em Medicina

A Novel Approach to Multi-Provider Network Slice Selector for 5G and Future Communication Systems

Evaluating the Performance of a Simulated Softwarized Agricultural Wireless Sensor Network

A Multi-Provider End-to-End Dynamic Orchestration Architecture Approach for 5G and Future Communication Systems

Conclusion:

José Olimpio Rodrigues Batista Jr. is a strong candidate for the Best Researcher Award, particularly due to his pioneering work in 5G technologies applied to healthcare. His expertise in telecommunications, coupled with his interdisciplinary collaborations, demonstrates his capacity for innovation and societal impact. If he strengthens his portfolio with a more global outreach and community-focused initiatives, he would be even more competitive for top-tier awards.