Assoc Prof Dr Yiping Duan | Multimedia Intelligent Communications | Best Researcher Award |

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Assoc Prof Dr. Yiping Duan | Multimedia Intelligent Communications | Best Researcher Award

Tsinghua University, China

Professional Profiles:

SCOPUS

 👨‍🎓 Bio Summary:

Assoc. Prof. Dr. Yiping Duan is an expert in multimedia communications and semantic computing, currently serving as an Associate Professor at Tsinghua University, Beijing. With over a decade of professional and academic experience, Dr. Duan has made significant contributions to advanced technologies such as brain-inspired image processing, video coding, and EEG-based multimedia communication systems. He is recognized for his interdisciplinary approach, combining artificial intelligence, neuroscience, and wireless communication, which has earned him several prestigious awards and collaborations with leading experts in the field.

🎓 Educational Background:

Dr. Duan earned his Ph.D. in Computer Science from Xidian University, Xi’an, China, where he specialized in hierarchical visual computation and SAR image segmentation. Prior to this, he completed his Bachelor of Science in Computer and Information Engineering from Henan Normal University, Xinxiang. His education laid a strong foundation for his research in multimedia communications and semantic computing, fields in which he continues to innovate.

🔍 Research Focus:

Dr. Duan’s research primarily focuses on multimedia communications, video coding, and semantic communications. He has developed cutting-edge technologies, including EEG-based image quality assessments, intelligent robotics for visual attention, and low-bit-rate semantic communication systems. His work addresses the growing demand for smart systems in areas such as IoT-driven surveillance, 6G communications, and wireless multimedia systems.

🏆 Honors & Awards:

Dr. Duan has received numerous awards in recognition of his innovative work. These include the Best Paper Award at the 2023 International Conference on Wireless Communications and Signal Processing, the Gold Medal at the 2021 National Invention Exhibition, and the First Prize for Scientific and Technological Progress in Beijing for his work on multimedia communication technologies. His awards underscore his leadership in driving advancements in wireless multimedia systems and communication technologies.

💼 Professional Experience:

Dr. Duan is currently an Associate Professor and Doctoral Supervisor at Tsinghua University’s Department of Electronic Engineering. Since joining Tsinghua in 2017, he has steadily advanced from postdoctoral researcher to lecturer, and then to associate professor. His career has been marked by collaboration with top scholars, including IEEE Fellow Prof. Jianhua Lu, and leadership in multimedia communication research. He actively supervises both master’s and doctoral students, contributing to the next generation of researchers.

📚 Top Noted Publications :

Title: Point Cloud Registration via Sampling-Based Evolutionary Multitasking
Authors: Ding, H., Wu, Y., Gong, M., Duan, Y., Tao, X.
Citations: 1
Journal: Swarm and Evolutionary Computation
Index: 89, 101535
Year of Publication: 2024

Title: Object–Attribute–Relation Model-Based Semantic Coding for Image Transmission
Authors: Li, C., Duan, Y., Tao, X., Yang, Q., Chen, C.
Citations: 0
Journal: Journal of the Franklin Institute
Index: 361(11), 106942
Year of Publication: 2024

Title: Boosting Urban Prediction Tasks with Domain-Sharing Knowledge via Meta-Learning
Authors: Wang, D., Peng, J., Tao, X., Duan, Y.
Citations: 1
Journal: Information Fusion
Index: 107, 102324
Year of Publication: 2024

Title: Brain-Inspired Image Perceptual Quality Assessment Based on EEG: A QoE Perspective
Authors: Hu, S., Duan, Y., Tao, X., Zheng, Z., Pan, C.
Citations: 0
Journal: IEEE Transactions on Pattern Analysis and Machine Intelligence
Index: Article in Press
Year of Publication: 2024

Title: Brain-Inspired Visual Attention Modeling Based on EEG for Intelligent Robotics
Authors: Hu, S., Duan, Y., Tao, X., Chu, J., Lu, J.
Citations: 1
Journal: IEEE Journal on Selected Topics in Signal Processing
Index: Article in Press
Year of Publication: 2024

Conclusion:

Dr. Yiping Duan is highly suitable for the Best Researcher Award due to his remarkable contributions to multimedia communications, video coding, and EEG-based image processing technologies. His innovative work bridges neuroscience, AI, and communication systems, making him a pioneering figure in these emerging fields. With multiple prestigious awards, high-impact publications, and significant contributions to both academic and practical applications, Dr. Duan stands out as an influential researcher. By expanding his research scope and increasing his international visibility, he has the potential to further solidify his standing as a world-class researcher.

Ms Bassant Tolba | Wireless communication | Best Researcher Award |

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Ms. Bassant Tolba | Wireless communication  | Best Researcher Award.

Egypt-Japan University Science and Technology,Egypt

Professional Profiles:

SCOPUS

ORCID

GOOGLE SCHOLAR 

👨‍🎓 Bio Summary:

Ms. Bassant Tolba is a Teaching Assistant and Ph.D. student in the Electrical and Communication Engineering department at Egypt-Japan University of Science and Technology (E-JUST). With over 6 years of experience, she specializes in machine learning (ML), wireless communication, cloud computing, meta-learning, service caching, and task offloading. Bassant excels in implementing effective ML projects at both local and global levels, with a strong focus on teaching, research, and reviewing research papers in data science and ML developments.

🎓 Education:

Ms. Bassant Tolba earned her B.Sc. in Electrical and Electronics Communications Engineering from the Faculty of Engineering, Alexandria University, with an overall grade of “Very Good with honors.” Her graduation project on Multimedia Communication (Image Processing Compression and Encryption) received a distinction with honors. She continued her academic journey at Egypt-Japan University of Science and Technology (E-JUST), where she completed her Master of Science in Electronics and Communication, focusing on wireless channel estimation and feedback using meta-learning techniques for vehicular networks. She is currently pursuing her Ph.D. at E-JUST, with a thesis titled “Multi-tier Communication and Multi-tier Computing in Edge Computing Networks.”

🔍 Research Focus:

Bassant’s research interests encompass a wide array of topics, including machine learning, wireless communication, cloud computing, meta-learning, service caching, and task offloading. Her work primarily focuses on developing and implementing machine learning frameworks to enhance communication systems and network performance. Notably, she has proposed frameworks based on generative adversarial neural networks and meta-learning to address challenges in channel state information feedback and system accuracy.

🏆 Honors & Awards:

Throughout her academic and professional journey, Bassant has been recognized for her contributions to the field. She has published a Q1 journal paper with an impact factor of 4 and presented her research at various conferences. Her dedication and excellence in her research and academic pursuits have earned her accolades and respect in the academic community.

Professional Experience: 💼

Bassant’s professional experience includes roles as a Research Assistant at the National Telecom Regulatory Authority (NTRA) from July 2018 to July 2020, where she implemented a machine learning core in heterogeneous cell systems and proposed a framework to solve challenges in channel state information feedback. From August 2020 to July 2021, she served as a Research Assistant at the Information Technology Industry Development Agency (ITIDA), where she developed a meta-learning framework to improve communication system accuracy. Since September 2019, she has been a Teaching Assistant at E-JUST, assisting in classroom management, lesson delivery, and tutoring students.

📚 Top Noted Publications :

Massive MIMO CSI Feedback Based on Generative Adversarial Network

Authors: B. Tolba, M. Elsabrouty, M. G. Abdu-Aguye, H. Gacanin, H. M. Kasem

Published: 2020

Journal: IEEE Communications Letters, Volume 24, Issue 12, Pages 2805-2808

Citations: 35

Index: Q1 Journal

 

A Meta Learner Autoencoder for Channel State Information Feedback in Massive MIMO Systems

Authors: B. Tolba, A. H. Abd El-Malek, M. Abo-Zahhad, M. Elsabrouty

Published: 2021

Conference: 28th International Conference on Telecommunications (ICT), Pages 1-5

Citations: 4

Index: Conference Paper

 

Joint User Association, Service Caching, and Task Offloading in Multi-tier Communication/Multi-tier Edge Computing Heterogeneous Networks

Authors: B. Tolba, M. Abo-Zahhad, M. Elsabrouty, A. Uchiyama, A. H. Abd El-Malek

Published: 2024

Journal: Ad Hoc Networks, Volume 160, Article 103500

Index: Journal Paper

 

Meta-transfer Learning for Super-Resolution Channel Estimation

Authors: B. Tolba, A. H. A. El-Malek, M. Abo-Zahhad, M. Elsabrouty

Published: 2023

Journal: Journal of Ambient Intelligence and Humanized Computing, Volume 14, Issue 3, Pages 2993-3001

 

Meta-transfer Learning for Massive MIMO Channel Estimation for Millimeter-Wave Outdoor Vehicular Environments

Authors: B. Tolba, A.H. Abd El-Malek, M. Abo-Zahhad, M. Elsabrouty

Year of Publication: 2023

Conference: 2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)

Pages: 535-540

Author Metrics 📊 : 

Bassant’s publications have been well-received in the academic community, reflecting her research’s significance and impact. Her contributions to the field of machine learning and wireless communication are evidenced by her publication metrics and the recognition she has received from peers and institutions.

📅 Research Timeline:

July 2018 – July 2020: Research Assistant at National Telecom Regulatory Authority (NTRA)

August 2020 – July 2021: Research Assistant at Information Technology Industry Development Agency (ITIDA)

September 2019 – Present: Teaching Assistant at Egypt-Japan University of Science and Technology (E-JUST)

April 2021 – Present: Ph.D. student at Electronics and Communication Department, E-JUST