Feng Hu | Multi-modal feature recognition | Best Researcher Award

Assoc Prof Dr. Feng Hu l Multi-modal feature recognition | Best Researcher Award

Communication University of China, China

Author Profile

Scopus

Early Academic Pursuits 🎓

Assoc. Prof. Dr. Feng Hu’s academic journey began with a deep interest in communication and information systems. He earned his Ph.D. in Communication and Information Systems from the prestigious Communication University of China (CUC), Beijing, in 2013. This educational foundation set the stage for his distinguished career in the fields of wireless communications, media convergence, and related technologies, shaping his future research and academic contributions.

Professional Endeavors and Contributions 🌐

Dr. Feng Hu is a prominent figure in the domain of 5G/6G wireless communications, and his professional journey has been marked by several key roles. Since December 2018, he has been an Associate Professor at Communication University of China and a master tutor, where he plays a significant role in mentoring future engineers and researchers. He has also been an active member of the Working Group of Radio, Film, and Television Administration for Wireless Interactive Radio and Television, as well as a member of the Working Group of 5G Broadcast. These positions have allowed him to contribute to the development and regulation of cutting-edge technologies in the media and communications sector.

Research Focus and Impact 🔬

Dr. Hu’s research interests lie in the development of transmitting and receiving techniques for 5G and 6G wireless communications. His work focuses on optimizing wireless communication systems, utilizing machine learning, and exploring optimization theory to enhance the efficiency and performance of modern communication technologies. His research has significant implications for the advancement of wireless communication systems, contributing to the global transition to next-generation technologies and improving communication capabilities in various sectors.

Technical Skills and Expertise ⚙️

Dr. Hu is highly skilled in the areas of wireless communications, machine learning, and optimization theory. His expertise includes developing novel algorithms and techniques for 5G/6G systems, addressing challenges in data transmission, signal processing, and system optimization. He is proficient in applying advanced mathematical models and machine learning approaches to improve communication systems’ performance, reliability, and security, making him a key player in advancing the state-of-the-art in wireless communications.

Teaching Experience and Mentorship 🍎

As an Associate Professor and master tutor, Dr. Hu is deeply involved in shaping the next generation of professionals in communication and information systems. He has taught a variety of undergraduate and graduate-level courses, imparting his knowledge in wireless communications, machine learning, and optimization. His mentorship extends beyond the classroom, guiding students in research and academic pursuits, while fostering a culture of innovation and critical thinking in the field of communications.

Legacy and Future Contributions 🌱

Dr. Hu’s legacy is rooted in his pioneering work in the development of 5G/6G wireless communication systems and his significant contributions to the academic and professional communities. Looking ahead, he aims to continue pushing the boundaries of wireless communication technologies, with a particular focus on optimizing next-generation communication networks and integrating machine learning approaches to improve system efficiencies. His future contributions will likely influence both academic research and practical implementations in the rapidly evolving fields of wireless communications and media convergence.

Academic Citations and Recognition 🏆

Dr. Feng Hu’s research has garnered recognition in top-tier academic journals and conferences in the fields of communication systems and wireless technology. His work has not only contributed to the scientific community but has also influenced industry practices and standards in wireless communication. He continues to be a sought-after figure in academic circles, providing valuable insights into the development of 5G/6G systems and machine learning applications in communications.

Professional Affiliations and Leadership 🌍

Dr. Hu is an active member of several esteemed organizations, including IEEE and the Society of Communications, where he holds the prestigious title of Senior Member. His involvement in key working groups related to wireless interactive radio and television and 5G broadcast further highlights his leadership in shaping the future of communication technologies. These affiliations enhance his ability to drive impactful research and contribute to the global dialogue on the future of communication systems.

Future Outlook and Innovation 🚀

With his vast expertise in wireless communication systems and emerging technologies, Dr. Hu’s future endeavors will focus on leading innovations in 6G communication systems, integrating artificial intelligence and machine learning to enhance system performance, and tackling the challenges posed by next-generation wireless networks. His ongoing research will play a critical role in shaping the future of global communication, advancing both academic theory and practical applications in the field.

 Top Noted Publications 📖

SDDA: A progressive self-distillation with decoupled alignment for multimodal image–text classification

Authors: Chen, X., Shuai, Q., Hu, F., Cheng, Y.
Journal: Neurocomputing
Year: 2025

EmotionCast: An Emotion-Driven Intelligent Broadcasting System for Dynamic Camera Switching

Authors: Zhang, X., Ba, X., Hu, F., Yuan, J.
Journal: Sensors
Year: 2024

 Asymptotic performance of reconfigurable intelligent surface assisted MIMO communication for large systems using random matrix theory

Authors: Hu, F., Zhang, H., Chen, S., Zhang, J., Feng, Y.
Journal: IET Communications
Year: 2024

Real-Time Multi-Service Adaptive Resource Scheduling Algorithm Based on QoE

Authors: Li, W., Li, S., Hu, F., Yin, F.
Conference: 2024 IEEE 12th International Conference on Information and Communication Networks, ICICN 2024
Year: 2024

5G RAN Slicing Resource Allocation Based on PF/M-LWDF

Authors: Hu, F., Qiu, J., Chen, A., Yang, H., Li, S.
Conference: 2024 4th International Conference on Computer Communication and Artificial Intelligence, CCAI 2024
Year: 2024

Jan Vanus – Building control – Best Researcher Award 

Assist Prof Dr Jan Vanus - Building control - Best Researcher Award 

Technical University of Ostrava - Czech Republic 

Author Profile

Early Academic Pursuits

Associate Professor Ing. Jan Vaňuš, Ph.D., began his academic journey at VŠB-TU Ostrava. He completed his Master's degree in Electrical Engineering between 1991 and 1996. Later, he pursued a Ph.D. in Technical Cybernetics from 2003 to 2010 at the same institution. His Ph.D. thesis focused on the "Application of advanced mathematical methods for processing of measured data in monitoring of control of operational and technical functions in Intelligent Buildings."

Professional Endeavors

Throughout his career, Assoc Prof Dr. Vaňuš has held several significant positions at VŠB-TU Ostrava. He began as an Assistant Professor in the Department of Electrical Engineering and later transitioned to the Department of Cybernetics and Biomedical Engineering. His roles have included postdoctoral research, teaching various subjects related to electrical engineering and building systems technology, and managing specialized laboratories.

Additionally, he has gained industry experience, working as an engineer at Temex spol s r.o. and serving civil service at Elim Ostrava. His professional background also includes roles related to project documentation, quotations, and hands-on tasks in the field.

Contributions and Research Focus

Dr. Vaňuš's research primarily centers on intelligent buildings, utilizing advanced mathematical methods for data processing, and developing technologies for smart systems. He has significantly contributed to various projects funded by grants, focusing on smart building operations, sensor technologies, and safety systems.

His research outputs encompass a wide range of publications, including journal articles, conference papers, and book chapters, emphasizing topics like building operations control, smart building technologies, and sensor applications. His work has also been recognized at international platforms, with students under his guidance producing notable theses.

Accolades and Recognition

Throughout his academic and professional journey, Dr. Vaňuš has received recognition for his contributions. He has been the principal investigator for several grants, demonstrating his expertise and leadership in the field. His publications have been indexed on platforms like ISI WoK, highlighting the quality and impact of his research in the scientific community.

Impact and Influence

Vaňuš's influence extends beyond academia, as evidenced by his collaborations with international institutions and industry partners. His dedication to advancing intelligent building technologies and promoting innovative solutions has positioned him as a respected figure in his field. Through his teachings, mentorship, and research endeavors, he has shaped the knowledge and skills of numerous students and professionals.

Legacy and Future Contributions

Looking ahead, Associate Professor Ing. Jan Vaňuš, Ph.D., continues to make strides in the realm of intelligent systems, building technologies, and data-driven solutions. His ongoing commitment to research, education, and collaboration underscores his vision for a smarter, safer, and more sustainable future. As he continues to lead projects, publish influential work, and inspire the next generation of innovators, his legacy in the field remains poised for continued growth and impact.

Notable Publication