Li Zhu | Blockchain | Best Researcher Award

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Prof. Li Zhu | Blockchain | Best Researcher Award

Professor at Beijing Jiaotong University, China

Summary:

Prof. Li Zhu is a distinguished academic in Traffic Information Engineering and Control, currently serving as a Professor at Beijing Jiaotong University. He earned his PhD in 2012 from the same university, where his dissertation on “Cross Layer Design in CBTC Train Ground Communication System” was recognized with the Beijing Exceptional Doctoral Dissertation award. His research focuses on train ground communication systems, communication-based train control systems, and wireless network security. Prof. Zhu has published over 100 papers in leading journals, including IEEE Transactions on Vehicular Technology and IEEE Transactions on Intelligent Transportation Systems. He has led numerous research projects funded by the Ministry of Education and the Natural Science Foundation, and has contributed to the industry by designing the data communication system for the CBTC system of the Beijing Metro Yizhuang Line, earning four patents for his innovative work.

Profile:

Education:

Prof. Li Zhu earned his PhD in Traffic Information Engineering and Control from Beijing Jiaotong University in 2012. His academic journey began with a robust foundation in engineering principles, which he further enhanced during his time as a visiting student at the University of British Columbia and Carleton University in Canada from 2009 to 2010. During this period, he focused on research and development in advanced wireless communication technologies specifically tailored for railway control systems. His doctoral dissertation, titled “Cross Layer Design in CBTC Train Ground Communication System,” was recognized with the prestigious Beijing Exceptional Doctoral Dissertation award, highlighting his innovative contributions to the field. Prof. Zhu’s education has equipped him with a comprehensive understanding of traffic information engineering and control, establishing him as a leading expert in railway communication systems.

Professional Experience:

Prof. Li Zhu has a robust professional background in the field of traffic information engineering and control. Since joining the State Key Laboratory of Rail Traffic Control and Safety at Beijing Jiaotong University in 2012, he has contributed significantly to research and education as a Professor. Prior to this, he enhanced his expertise through a visiting student position at the University of British Columbia and Carleton University in Canada from 2009 to 2010, focusing on advanced wireless communication technologies for railway control systems. Prof. Zhu has led over ten major research projects funded by the Ministry of Education and the Natural Science Foundation, showcasing his leadership in academia. He has also been actively involved in the academic community as a member of the Technical Program Committee for numerous international conferences and as a reviewer for prestigious journals. His practical contributions to the industry include designing the data communication system for the CBTC system of the Beijing Metro Yizhuang Line, marking it as the first train control system with self-owned intellectual property rights.

Research Interests:

Prof. Li Zhu’s research interests encompass a wide range of topics in the field of traffic information engineering and control. His primary focus includes the development of train ground communication systems and communication-based train control systems, where he explores innovative solutions to enhance operational efficiency and safety. Additionally, he specializes in cross-layer and cross-systems design within wireless networks, aiming to optimize communication protocols for complex transportation environments. Security in train control systems is another critical area of his research, where he investigates methods to safeguard communication channels against potential threats. Prof. Zhu’s extensive research contributions, reflected in over 100 published papers, demonstrate his commitment to advancing technology and improving the reliability of railway systems.

Skills:

Prof. Li Zhu possesses a diverse set of skills that significantly enhance his contributions to the field of traffic information engineering and control. His expertise in advanced wireless communication technologies is foundational to his research in train ground communication and control systems. Prof. Zhu excels in cross-layer and cross-systems design, enabling him to integrate various network protocols effectively for improved performance. Additionally, his strong analytical skills facilitate in-depth evaluations of system security, allowing him to develop robust solutions for protecting critical communication channels in railway operations. His project management abilities are evident in his leadership of numerous research projects funded by government agencies, showcasing his capacity to coordinate interdisciplinary teams. Furthermore, his experience as a reviewer and committee member for prestigious conferences and journals highlights his critical understanding of the latest advancements in the field and his commitment to maintaining high research standards.

Conclution:

Prof. Li Zhu’s deep expertise in wireless communication for train control, his significant contributions to both academic research and industry applications, his leadership in high-impact research projects, and his prolific publication record make him highly deserving of the Research for Best Researcher Award. His innovative work continues to shape the future of intelligent transportation systems, positioning him as a leader in his field.

Publication Top Noted:

Title: Big Data Analytics in Intelligent Transportation Systems: A Survey

  • Authors: L. Zhu, F.R. Yu, Y. Wang, B. Ning, T. Tang
  • Journal: IEEE Transactions on Intelligent Transportation Systems
  • Volume: 20
  • Issue: 1
  • Pages: 383-398
  • Year: 2018
  • Citations: 1096

Title: Cooperative Computation Offloading and Resource Allocation for Blockchain-Enabled Mobile-Edge Computing: A Deep Reinforcement Learning Approach

  • Authors: J. Feng, F.R. Yu, Q. Pei, X. Chu, J. Du, L. Zhu
  • Journal: IEEE Internet of Things Journal
  • Volume: 7
  • Issue: 7
  • Pages: 6214-6228
  • Year: 2019
  • Citations: 298

Title: Cross-Layer Handoff Design in MIMO-Enabled WLANs for Communication-Based Train Control (CBTC) Systems

  • Authors: L. Zhu, F.R. Yu, B. Ning, T. Tang
  • Journal: IEEE Journal on Selected Areas in Communications
  • Volume: 30
  • Issue: 4
  • Pages: 719-728
  • Year: 2012
  • Citations: 234

Title: Cross-Layer Design for Video Transmissions in Metro Passenger Information Systems

  • Authors: L. Zhu, F.R. Yu, B. Ning, T. Tang
  • Journal: IEEE Transactions on Vehicular Technology
  • Volume: 60
  • Issue: 3
  • Pages: 1171-1181
  • Year: 2011
  • Citations: 138

Title: Joint Optimization of Radio and Computational Resources Allocation in Blockchain-Enabled Mobile Edge Computing Systems

  • Authors: J. Feng, F.R. Yu, Q. Pei, J. Du, L. Zhu
  • Journal: IEEE Transactions on Wireless Communications
  • Volume: 19
  • Issue: 6
  • Pages: 4321-4334
  • Year: 2020
  • Citations: 116

Title: Blockchain-Based Federated Learning for Intelligent Control in Heavy Haul Railway

  • Authors: G. Hua, L. Zhu, J. Wu, C. Shen, L. Zhou, Q. Lin
  • Journal: IEEE Access
  • Volume: 8
  • Pages: 176830-176839
  • Year: 2020
  • Citations: 103

Title: Dynamic Network Slicing and Resource Allocation in Mobile Edge Computing Systems

  • Authors: J. Feng, Q. Pei, F.R. Yu, X. Chu, J. Du, L. Zhu
  • Journal: IEEE Transactions on Vehicular Technology
  • Volume: 69
  • Issue: 7
  • Pages: 7863-7878
  • Year: 2020
  • Citations: 93

Julien Riposo | Blockchain | Best Researcher Award

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Dr. Julien Riposo | Blockchain | Best Researcher Award

Doctorate at London Stock Exchange Group, France

Summary:

Dr. Julien Riposo is a highly accomplished mathematician and finance professional renowned for his expertise in quantitative finance and risk management. He holds a Ph.D. from Paris IV University, where his research focused on Mathematical and Computational Methods in Data Analysis for Biology and Finance, earning him “Très Honorable” honors. With a background in theoretical physics from École Normale Supérieure (Cachan), Dr. Riposo has excelled in developing advanced mathematical models and applying them to financial derivatives, blockchain technology, and quantitative trading strategies. His career is highlighted by leadership roles in prominent financial institutions, contributing significantly to the field through research, publications, and industry innovations.

Profile:

Education:

Dr. Julien Riposo pursued an illustrious academic journey marked by exceptional achievements in mathematics, physics, and quantitative finance. He began his academic pursuits at École Normale Supérieure (Cachan), where he studied Theoretical Physics and graduated with highest honors in 2012. Subsequently, he continued his academic endeavors at Paris IV University, earning a Ph.D. with a focus on Mathematical and Computational Methods in Data Analysis for Biology and Finance. His doctoral research received “Très Honorable” honors, reflecting his deep commitment to advancing mathematical and computational methodologies in complex data analysis contexts. Throughout his academic career, Dr. Riposo demonstrated a strong proficiency in mathematics, including algebra, probability theory, stochastic calculus, and time series analysis. His expertise extends into quantitative finance, derivatives, and blockchain technology, where he has made significant contributions to the field of financial modeling and risk management. Dr. Riposo’s academic achievements and research contributions have been recognized with prestigious awards, including the Louise Arconati Visconti Prize from the Chancellerie des Universités de Paris in 2011 and the Wilmott Award from the Wilmott Institute in 2019 for his Certificate in Quantitative Finance.

Professional Experience:

Dr. Julien Riposo has established himself as a leading figure in quantitative finance and risk management through his extensive professional experience and contributions to the financial industry. He began his career with roles at NetOTC and InterContinental Exchange (NYSE – ICE), where he focused on model validation, risk analytics, and the development of advanced trading strategies. At Bitstocks, he served as Chief Research Officer, overseeing the mathematical framework of the banking ecosystem and playing a pivotal role in regulatory compliance and financial management. His expertise extends to implementing Value-at-Risk methodologies, machine learning protocols for transaction monitoring, and fostering open collaborations with academic research. Dr. Riposo’s career is characterized by a deep commitment to innovation in financial modeling, risk assessment, and quantitative analysis, making significant contributions to both theoretical advancements and practical applications in the field.

Research Interest:

Dr. Julien Riposo’s research interests encompass a broad spectrum within quantitative finance, mathematical modeling, and risk management. With a foundation in advanced mathematics and computational methods, his work focuses on developing sophisticated models for financial derivatives, blockchain technologies, and quantitative trading strategies. Dr. Riposo is particularly interested in applying stochastic calculus, time series analysis, and machine learning techniques to enhance risk assessment and portfolio management in dynamic financial markets. His research aims to bridge theoretical insights with practical applications, aiming to innovate and optimize financial strategies while ensuring robust risk management practices. Dr. Riposo’s interdisciplinary approach underscores his commitment to advancing quantitative finance through rigorous academic research and real-world applications.

Awards and Honors:

Dr. Julien Riposo has garnered esteemed awards and honors throughout his distinguished career in quantitative finance and mathematical research. He was honored with the Louise Arconati Visconti Prize by the Chancellerie des Universités de Paris in 2011, recognizing his exceptional academic achievements and contributions to the field. In 2019, Dr. Riposo received the prestigious Wilmott Award from the Wilmott Institute for his outstanding performance in the Certificate in Quantitative Finance, further highlighting his expertise and impact in financial modeling and risk management. His research has been published in renowned academic journals such as Nature, Wilmott Journal, and Springer, solidifying his reputation as a leading figure in mathematical and computational methods applied to finance. These accolades underscore Dr. Riposo’s commitment to advancing quantitative finance through innovative research and his significant contributions to academia and industry alike.

 

Publication:

Some Fundamentals of Mathematics of Blockchain

Author: J. Riposo

Title: Some Fundamentals of Mathematics of Blockchain

Year: 2023

Pages: 1-150

Citations: 0

Notes on the convergence of the estimated risk factor matrix in linear regression models

Authors: J. Riposo, E.G. Klepfish

Journal: Journal of Asset Management

Year: 2023

Volume: 24(2)

Pages: 97-107

Citations: 0

Diffusion on the Peer-to-Peer Network

Author: J. Riposo

Journal: Journal of Risk and Financial Management

Year: 2022

Volume: 15(2)

Article: 47

Citations: 2