Bo Yang | Computer Science | Best Researcher Award

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Prof Dr. Bo Yang | Computer Science | Best Researcher Award

Full Professor, Northwestern Polytechnical University, China

📡 Dr. Bo Yang is a Professor at the School of Computer Science, Northwestern Polytechnical University (NPU), China. He is an expert in AI-empowered wireless networks, mobile edge/cloud computing, and big data analysis, with significant experience in academia and industry. His work has contributed to advancements in next-generation wireless systems and computational intelligent surfaces.

Publication Profile

Scopus

Strengths for the Award

  1. Extensive Research in AI-Empowered Networks: Bo Yang’s research focuses on cutting-edge technologies like AI-empowered wireless networks, mobile edge/cloud computing, and intelligent surface designs. These are relevant and impactful fields in today’s technological landscape.
  2. International Experience and Collaborations: Bo Yang has worked across multiple prestigious institutions globally, including Singapore University of Technology and Design (SUTD), Prairie View A&M University (USA), and Northwestern Polytechnical University (China). This international exposure has likely enriched his research perspective.
  3. High-Impact Publications: Bo Yang has authored and co-authored numerous influential publications in high-impact journals, such as IEEE Transactions on Wireless Communications and IEEE Transactions on Industrial Informatics, showcasing his research output and influence in the academic community.
  4. Notable Research Funding: Bo Yang has been involved in significant research projects with substantial funding, such as the $6 million USD project for the U.S. Office of Defense, which demonstrates his ability to secure large grants and work on high-stakes, impactful research.
  5. Awards and Nominations: He has been nominated for prestigious awards like the Excellence in Scholarly Research Award at Prairie View A&M University, highlighting his recognition as a strong researcher.

Areas for Improvement

  1. Broader Industry Impact: While Bo Yang’s research contributions are impressive academically, there is limited evidence of direct industry partnerships or commercialization of his research. Engaging more with industry and applying his innovations in commercial products could further bolster his case for the award.
  2. Leadership in Research Initiatives: While Bo Yang has been part of multiple large-scale research projects, more evidence of him leading major projects or research teams would enhance his leadership profile and strengthen his award candidacy.
  3. Public Engagement and Knowledge Dissemination: Expanding his efforts in science communication, such as more public-facing talks or involvement in workshops and seminars, could improve his visibility and influence beyond the academic community.

Education

🎓 Dr. Yang earned his Ph.D. in Information and Communication Engineering from NPU (2010-2017), where his thesis focused on multi-channel medium access for next-generation WLAN. He also holds an M.Sc. in Communication and Information Systems (2007-2010) with a thesis on video coding and wireless transmission, and a B.Sc. in Communication Engineering (2003-2007), during which he interned at Datang Telecom.

Experience

💼 Dr. Yang is currently a Professor at NPU, Xi’an, China, where he leads cutting-edge research on AI-empowered wireless networks. Previously, he was a Research Fellow at the Singapore University of Technology and Design (SUTD) and a Postdoctoral Fellow at Prairie View A&M University (PVAMU), USA. His research projects have been funded by prestigious organizations, including A*STAR in Singapore and the U.S. Office of the Under Secretary of Defense.

Research Focus

🔬 Dr. Yang’s research focuses on AI-powered wireless networks, mobile edge/cloud computing, computational intelligent surfaces, and big data security. His innovative work addresses challenges in next-generation communication systems, with a particular emphasis on reconfigurable intelligent surfaces and federated spectrum learning for wireless edge networks.

Awards and Honors

🏆 Dr. Yang has been honored with several prestigious awards, including the NNSF for Excellent Young Scientists Fund Program (Overseas) in 2022 and a nomination for the Excellence in Scholarly Research Award at PVAMU in 2020. His groundbreaking research projects have been funded by leading organizations worldwide.

Publication Top Notes

📝 Dr. Yang has authored numerous influential papers in high-impact journals. His recent works include:

“DiffSG: A Generative Solver for Network Optimization with Diffusion Model” (2024) – arXiv:2408.06701

“Reconfigurable Intelligent Computational Surfaces for MEC-Assisted Autonomous Driving Networks: Design Optimization and Analysis” (2024) – arXiv:2407.00933

“Filtering Reconfigurable Intelligent Computational Surface for RF Spectrum Purification” (2024) – arXiv:2406.18055

“AI-Empowered Multiple Access for 6G: A Survey of Spectrum Sensing, Protocol Designs, and Optimizations” (2024) – Proceedings of the IEEE, Cited by 39

“A Multi-View Interactive Approach for Multimodal Sarcasm Detection in Social Internet of Things” (2024) – Applied Sciences, Cited by 18

Conclusion

Bo Yang is a highly qualified candidate for the Best Researcher Award due to his significant contributions to AI-empowered networks, his prolific publication record, and involvement in international research collaborations. To enhance his candidacy further, he could focus on increasing industry engagement, leading more research initiatives, and enhancing public engagement with his work. His strengths in cutting-edge technology, global experience, and scholarly impact make him a strong contender for the award.

Lijuan Li | Process modeling and optimization | Best Researcher Award

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Prof Dr. Lijuan Li | Process modeling and optimization | Best Researcher Award

.Deputy Director of Academic Affairs Office, Nanjing Tech University, China

Li Lijuan is a distinguished professor and doctoral supervisor at the School of Electrical Engineering and Control Science, Nanjing Tech University. She serves as the vice dean of the school and director of the Institute of Automation. Renowned for her contributions to control science, she is a candidate for the Jiangsu Province 333 High-level Talent Program and the Jiangsu Province “Six Talent Peaks” Program. Li Lijuan is an active member of various committees within the Chinese Automation Society and is a certified expert in Chinese Engineering Education. Her extensive research, numerous publications, and patents underscore her expertise and influence in the field.

Profile

Scopus

Educational Background 📚:

  • PhD in Control Science and Engineering from Zhejiang University (2005.3—2008.12)
  • Master’s in Control Theory and Control Engineering from Nanjing University of Technology (2001.9—2004.6)
  • Bachelor of Science in Production Process Automation from Nanjing University of Technology (1993.9－1997.6)

Work Experience 💼:

  • Visiting Scholar, University of Southern California, USA (2013.4-2014.4)
  • Teacher of Control Science and Engineering, Nanjing University of Technology (1997.8-Present)

Research Interests 🔬:

  • Modeling, Optimization, and Predictive Control
  • Intelligent Robots
  • Detection Technology and Embedded Systems
  • Smart Security
  • Application of Artificial Intelligence in Industrial Processes

Awards 🏆:

  • China Patent Excellence Award for Fully Automatic Bag Packaging Flexible Production Line (2020)
  • National Teaching Achievement Second Prize
  • Five provincial and ministerial teaching achievement awards

Publications Top Notes 📖:

Li, Lijuan, et al. “An optimized control strategy based on multidimensional feature operation pattern.” IEEE Transactions on Control Systems Technology, 2024. Link

Li, Lijuan, et al. “Multiresolution deep feature learning for pointer meters reading recognition.” Journal of Manufacturing Processes, 2024. Link

Li, Lijuan, et al. “YOLOv5-SFE: An algorithm fusing spatio-temporal features for detecting and recognizing workers’ operating behaviors.” Advanced Engineering Informatics, 2023. Link

Li, Lijuan, et al. “A performance assessment methodology with coupling between layers for LP-DMC systems.” International Journal of Robust Nonlinear Control, 2023. Link

Li, Lijuan, et al. “Optimization of oxygen system scheduling in hybrid action space based on deep reinforcement learning.” Computers & Chemical Engineering, 2023. Link