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Prof. Dr. Hui Yang |  Advanced Photonic Sensors | Best Scholar Award

Prof. Dr. Hui Yang,Beijing University of Posts and Telecommunications, China

Professor Hui Yang is a leading figure in the field of optical communications, currently serving as the Dean of the School of Electronic Engineering at the Beijing University of Posts and Telecommunications (BUPT). A Fellow of the IET and DAMO Academy Young Fellow (notably the only one in optical communications), he has made significant contributions to cutting-edge research in software-defined optical networks, AI-driven optical infrastructure, and next-generation communication systems.

Profile

Scopus

📚 Early Academic Pursuits

Hui Yang’s academic journey began at BUPT, where he earned his Bachelor’s degree in Mechanical Engineering and Automation (2009). He then pursued a Ph.D. in Communication and Information Systems, also at BUPT, which he completed in 2014. This strong academic foundation laid the groundwork for his innovative cross-disciplinary approach, blending hardware systems with software intelligence in optical networks.

💼 Professional Endeavors

Professor Yang’s career reflects a rapid rise through academic and administrative ranks. Starting as an Assistant Professor (2014), he progressed to Associate Professor (2016), and then to Full Professor (2021). He has served as Vice Dean of the Institute of Science and Technology (2017–2024) and currently holds leadership roles such as:

  • Dean, School of Electronic Engineering

  • Director, Chinese Institute of Electronics

  • Assistant Director, State Key Laboratory of Information Photonics and Optical Communication

  • Deputy Director, National Electronic Information Virtual Simulation Experimental Center

These roles showcase his academic leadership and ability to shape national research agendas.

🔬 Contributions and Research Focus

Professor Yang’s core research areas include:

  • Software-Defined Optical Networks (SDON)

  • Elastic Optical Networks

  • AI and Machine Learning in Optical Communications

  • Blockchain-empowered Optical Networks

  • Space-Air-Ground Integrated Networks

  • Optical Interconnects for Data Centers

He has published over 190 peer-reviewed papers, including more than 80 as first author, in top-tier journals such as IEEE Communications Magazine, Journal of Lightwave Technology, and IEEE/ACM Transactions on Networking. He also holds 53 patents and has authored 6 IETF proposals, reflecting both academic depth and practical innovation.

🌍 Impact and Influence

Hui Yang’s work has had international and national significance. His research has directly contributed to China’s major national initiatives (NSFC, 863, 973 programs), while earning global visibility through publications, patents, and invited talks. He is listed in Elsevier’s China Highly Cited Scholars and the Stanford World’s Top 2% Scientists List (2022, 2023).

As an editor and reviewer for journals like IEEE JSAC and IEEE Communications Magazine, he helps steer the global research direction in optical communications.

📈 Academic Cites

With high-impact publications and numerous citations, his scholarly work is widely referenced in both academia and industry. Articles like “PAINet” in IEEE Communications Magazine (IF 11.2, 2024) and “Anomaly Prediction…” in JLT (2022) are regarded as benchmark contributions in intelligent network design and performance analysis.

🛠️ Research Skills

Professor Yang is known for his interdisciplinary skillset, which spans:

  • Network virtualization and orchestration

  • AI and deep learning applications in networking

  • Software-hardware co-design

  • Resource optimization across multi-layered networks

  • Simulation and system architecture design for optical communications

These make him a versatile researcher, able to translate complex ideas into scalable systems.

🎓 Teaching Experience

Alongside research, Hui Yang is an accomplished educator, involved in graduate supervision, Ph.D. training, and curriculum development at BUPT. His guidance has led to award-winning student papers (Best Student Paper Awards at OECC2019 and ACP2013). He is also part of the prestigious Huang Danian Teacher Team, known for cultivating top scientific talent in China.

🏆 Awards and Honors

Professor Yang’s contributions have been recognized by numerous top-tier awards:

  • 🥈 Second Prize of National Science and Technology Progress Award (2019)

  • 🥇 First Prizes from China Institute of Communications, China Institute of Electronics, and China Association of Inventions

  • 🏅 Gold Medal, Geneva International Exhibition of Inventions (2023)

  • 🧠 Young Scientist Award, IEEE ICOCN (2017)

  • 🌟 National Science Fund for Excellent Young Scholars (2021)

  • 🧪 Beijing Talents Program and Young Elite Scientists Sponsorship Program

  • 🧬 Elsevier Highly Cited Scholar, Top 2% Scientist, and Tencent Rhino Bird Award (multiple years)

These honors underscore his leadership, innovation, and sustained excellence in the field.

🔮 Legacy and Future Contributions

With a strong academic lineage, deep technical expertise, and visionary leadership, Professor Hui Yang is poised to shape the future of optical networking and AI integration. His research is helping to build next-generation communication infrastructure for applications like autonomous driving, cloud services, and smart cities.

Top Publications

PAINet: an integrated passive and active intent network for digital twins in automatic driving

  • Authors: Hui Yang, et al.

  • Journal: IEEE Communications Magazine

  • Year: 2024

CSO: Cross Stratum Optimization for Optical as a Service

  • Authors: Hui Yang, et al.

  • Journal: IEEE Communications Magazine

  • Year: 2015

C-RoFN: multi-stratum resources optimization for cloud-based radio over optical fiber networks

  • Authors: Hui Yang, et al.

  • Journal: IEEE Communications Magazine

  • Year: 2016

SUDOI: software defined networking for ubiquitous data center optical interconnection

  • Authors: Hui Yang, et al.

  • Journal: IEEE Communications Magazine

  • Year: 2016

Anomaly Prediction with Hybrid Supervised/Unsupervised Deep Learning for Elastic Optical Networks: A Multi-Index Correlative Approach

  • Authors: Hui Yang, et al.

  • Journal: Journal of Lightwave Technology

  • Year: 2022

Hui Yang | Advanced Photonic Sensors | Best Scholar Award

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