Prof. Jun Li | Mobile Networks | Best Researcher Award

Prof. Jun Li, Southeast University, China

Jun Li is a distinguished professor at Southeast University’s School of Information Science and Engineering. A prolific researcher in engineering with a career spanning over two decades, he has contributed significantly to advancements in Industrial Internet, 6G communications, and data privacy in federated learning. Jun Li’s pioneering work has been cited over 15,000 times, showcasing his profound impact on these fields. He previously served as a professor at Nanjing University of Science and Technology and held research positions at esteemed institutions such as Princeton University and the University of Sydney. His accomplishments include the Youth Thousand Talents Program and AI Digital Craftsman Award. As an active member of China’s technical communities, Jun Li is highly regarded for his innovative research, esteemed publications, and ongoing contributions to the development of intelligent systems and industrial data solutions.

Professional Profile

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suitability summary of best reseacher award

Jun Li stands as a highly qualified candidate for the Best Researcher Award, demonstrating a blend of extensive research contributions, leadership, and technological advancements across domains like industrial internet, wireless communications, and artificial intelligence. As a professor in the School of Information Science and Engineering at Southeast University, his influence extends through both his innovative research and his commitment to developing critical solutions in fields that are vital to technological advancement and industrial applications.

Education

Jun Li holds a Ph.D. in Engineering from Shanghai Jiao Tong University (2009), where he specialized in advanced wireless communication systems. Prior to this, he earned his M.S. in Engineering from Nanjing University of Science and Technology (2004), focusing on foundational engineering principles that later influenced his work in Industrial Internet and data privacy. His academic journey began with a B.S. in Engineering from Jilin University (2001), providing a strong theoretical base in engineering. This diverse educational background across three premier Chinese universities has shaped Jun Li’s expertise in systems integration and collaborative cloud-edge systems for industrial applications. His academic foundations underpin his innovative approaches to developing new methods in 6G wireless technologies, privacy-preserving systems, and industrial IoT, which continue to influence his teaching and research at Southeast University and beyond.

Experience

Currently a professor at Southeast University’s School of Information Science and Engineering (2024–present), Jun Li has previously held a series of esteemed positions. He was a professor at Nanjing University of Science and Technology (2015–2024), where he advanced research in Industrial Internet and next-generation communication systems. As a visiting scholar at Princeton University (2018–2019), he collaborated under Vincent Poor, exploring innovative data privacy techniques in federated learning. Earlier, he was a research fellow at the University of Sydney (2012–2015), where he contributed to projects under Branka Vucetic on cloud-based systems for industrial IoT applications. His postdoctoral research at the University of New South Wales (2009–2012) further deepened his expertise in wireless communication. With a brief role at Shanghai Bell R&D Center, Jun Li’s diverse experience positions him as a leader in both industrial applications and academic research, emphasizing the practical and scalable development of advanced technological systems.

Awards and Honors

Jun Li’s career is marked by numerous prestigious awards, including the Youth Thousand Talents Program by the Ministry of Organization (2016) and the Distinguished Professor title from Jiangsu Province (2015). His innovative contributions have also earned him the Excellent Scientist Award from the Chinese Institute of Electronics (2022) and the Global Top 2% Scientist recognition (2023). In the AI field, he received the AI Digital Craftsman Award from the Chinese Association for Artificial Intelligence (2023). His academic contributions have garnered several competitive awards, including multiple Best Paper Awards from IEEE conferences and a top distinction from the National Industrial Internet Innovation Competition (2023). Jun Li’s accolades reflect his prominent role in advancing digital innovation and underscore his commitment to high-impact, interdisciplinary research that addresses key challenges in engineering and industrial communication technologies.

Research Focus

Jun Li’s research is centered on integrating advanced wireless communication with the Industrial Internet, focusing on 6G and privacy-preserving technologies for data management. His recent projects address the development of Intelligent Collaborative Cloud-Edge Systems tailored for industrial applications, aiming to enhance real-time data processing and decision-making in large-scale IoT networks. His work in federated learning emphasizes privacy protection, particularly in sensitive industrial settings, where secure data flow and efficient resource allocation are paramount. Jun Li is also pioneering efforts in positioning systems for asset management, optimizing data flow, and ensuring robust privacy protocols in wireless networks. His research interests extend to high-performance computing solutions for industrial data and cutting-edge strategies in collaborative AI applications, reflecting a comprehensive approach to advancing the industrial IoT ecosystem through integrative, secure, and intelligent technologies.

Publication Top Notes

Federated Learning with Differential Privacy: Algorithms and Performance Analysis
- Cited by: 1801
Federated Learning for Internet of Things: A Comprehensive Survey
- Cited by: 927
Simultaneous Wireless Information and Power Transfer (SWIPT): Recent Advances and Future Challenges
- Cited by: 899
6G Internet of Things: A Comprehensive Survey
- Cited by: 852
Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges
- Cited by: 504

Dr. Faith Muhonja , Amref International University , Kenya

Dr. Faith Muhonja, a distinguished public health expert from Kenya, holds a PhD in Public Health from Kenyatta University, complemented by a Master’s and Bachelor’s degree in Community Health from Great Lakes University of Kisumu. Currently serving as a Lecturer at Amref International University, she also contributes as an Adjunct Lecturer at Kenyatta University and previously worked as a Tutorial Fellow at Mount Kenya University. Dr. Muhonja’s research interests span diverse areas including food nutrition, one health, climate change, and adolescent sexual and reproductive health. She has actively participated in conferences, workshops, and policy briefs, contributing significantly to healthcare policies and practices in Africa. Her dedication to research is underscored by numerous publications and leadership roles in research projects focusing on public health challenges and solutions across the continent

Professional Profile:

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🎓Education:

Dr. Faith Muhonja pursued an extensive academic journey in public health, culminating in a PhD from Kenyatta University, Kenya, which she completed between 2018 and 2021. Prior to her doctoral studies, she earned a Master of Science in Community Health from Great Lakes University of Kisumu, Kenya, from 2015 to 2017, and a Bachelor of Science in Community Health from the same institution, completed between 2012 and 2015. These educational milestones equipped her with a comprehensive understanding of community health dynamics and prepared her for her current role as a Lecturer at Amref International University, where she contributes significantly to the field of public health through research and teaching initiatives.

🏢Professional Career:

Since 2022, Dr. Faith Muhonja has served as a Lecturer in the School of Public Health, Department of Community Health at Amref International University in Kenya. Concurrently, she holds the position of Adjunct Lecturer at Kenyatta University, beginning in 2021. Prior to these roles, from 2017 to 2022, she worked as a Tutorial Fellow at Mount Kenya University, where she contributed to academic and research activities within the field of community health. Dr. Muhonja’s career has been marked by her dedication to advancing public health education and research in Kenya, influencing both her students and the broader healthcare community through her expertise and leadership.

🔬Research Interests:

Dr. Faith Muhonja’s research interests encompass a broad spectrum of critical public health issues. She is deeply engaged in studying food nutrition and food security, aiming to enhance understanding and develop strategies to improve nutritional outcomes and ensure food access for vulnerable populations. Additionally, her work in the realm of One Health addresses the interconnectedness of human, animal, and environmental health, particularly in the context of climate change and sustainable practices such as green purchase behavior.

Publication Top Notes:

Title: High acceptability of newborn screening for sickle cell disease among post-natal mothers in western Kenya
Title: Association between Utilization of Personal Protective Equipment and Prevalence of Road Traffic Injuries amongst Motorcycle Users in Kibera Constituency, Nairobi County Kenya
Title: Factors Influencing Use of Personalized Asthma Action Plans among Adult Patients Aged 18-65 in Nyamira County Kenya
Title: Associations of Social Networks with Physical Activity Enjoyment among Older Adults: Walkability as a Modifier through a STROBE-Compliant Analysis
Title: Socio-Demographic Determinants Of Risky Sexual Behavior Among Adolescents: A Case Study Of Homa-Bay County, Kenya