Prof. Jun Li | Mobile Networks | Best Researcher Award

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 Liā€™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 Chinaā€™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.

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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.

EducationĀ 

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 Liā€™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 Universityā€™s School of Information Science and Engineering (2024ā€“present), Jun Li has previously held a series of esteemed positions. He was a professor at Nanjing University of Science and Technology (2015ā€“2024), where he advanced research in Industrial Internet and next-generation communication systems. As a visiting scholar at Princeton University (2018ā€“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 (2012ā€“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 (2009ā€“2012) further deepened his expertise in wireless communication. With a brief role at Shanghai Bell R&D Center, Jun Liā€™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 HonorsĀ 

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 Liā€™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 Liā€™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.

Ā 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

Prof. Tariq Khanzada | Telecommunications Awards | Best Researcher Award

Prof. Tariq Khanzada | Telecommunications Awards | Best Researcher Award

Prof. Tariq Khanzada , IS, FCIT, KAU, Jeddah, KSA , Saudi Arabia

Tariq Jamil Khanzada is a distinguished professor in the Information Systems Department at King Abdulaziz University (KAU) in Jeddah, Saudi Arabia. He holds a PhD in Wireless Indoor Positioning Systems from OVG University, Magdeburg, Germany, obtained in 2010. Tariq’s academic journey spans prestigious roles including Professor at KAU since 2019 and his tenure at Mehran University of Engineering & Technology, Pakistan, where he served as a Professor and Associate Professor. His research interests encompass Wireless Communications, Artificial Intelligence, Data Science, and Machine Learning. Tariq has received numerous awards and honors, including research grants, scholarships, and recognition for his contributions to academia and technology innovation. His career is marked by a commitment to advancing education and research in computer systems and engineering.

Professional Profile:

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šŸŽ“Education:

Tariq Jamil Khanzada’s academic journey culminated in the achievement of a PhD in Wireless Indoor Positioning Systems from OVG University in Magdeburg, Germany, a milestone he completed in 2010. His doctoral research at OVG University focused on advancing the technology and methodologies used in indoor positioning systems, exploring innovations that have practical applications in various fields including telecommunications, navigation, and smart environments.Throughout his academic career, Tariq has consistently demonstrated a commitment to pushing the boundaries of knowledge in his field. His doctoral studies were marked by rigorous investigation and experimentation, aimed at enhancing the accuracy, efficiency, and reliability of indoor positioning systems. This endeavor not only contributed to the academic discourse but also holds implications for practical implementations in real-world scenarios, from improving location-based services in urban settings to enhancing emergency response systems.

šŸ¢Work Experience:

Tariq Jamil Khanzada has held significant academic and professional positions throughout his distinguished career. Since 2019, he has served as a Professor in the Information Systems Department at King Abdulaziz University (KAU) in Jeddah, Saudi Arabia. Concurrently, since 2016, he has been on lien-leaves as a Professor in the Department of Computer Systems Engineering at Mehran University of Engineering & Technology in Jamshoro, Pakistan. Prior to these roles, Tariq was an Associate Professor from 2012 to 2016, an Assistant Professor from 2004 to 2012, and a Lecturer from 2001 to 2004, all within the Department of Computer Systems Engineering at Mehran University of Engineering & Technology. His academic journey also includes roles such as Research Assistant at the Chair of Microwave and Communication Engineering at OVG University in Magdeburg, Germany, from 2005 to 2010, and as a Senior Lecturer at Muhammad Institute of Science & Technology in Mirpur Khas, Pakistan, from 2000 to 2001. Tariq’s early career involved positions as an Instructor at Pertroman Training Institute in Hyderabad, Pakistan, and as a Network Administrator at Softech Inc., also in Hyderabad.

šŸ†Awards and Honors:

Tariq Jamil Khanzada has garnered multiple accolades and scholarships throughout his career, underscoring his academic and research achievements. He was awarded a University Scholarship to pursue PhD studies in Germany from 2005 to 2009, a significant recognition of his potential and dedication to advanced studies. In 2005, he received a scholarship under the Staff Development Scheme for the Establishment of the Institute of Communication Technologies Controlling Institute at Mehran University of Engineering & Technology in Jamhoro, Pakistan, further enhancing his academic pursuits.His contributions to academia were also recognized when he was awarded the co-authorship of the book “Computer System Workshop – A Practical Workbook, The Best Practice Series” in 2004, published for the B.E. [CS/SW/ES/TL] Curriculum Text Book by Naseem Book Depot in Hyderabad, Pakistan. In 2009-2010, Tariq received partial support scholarship funding amounting to US$ 15,000 for his PhD studies, demonstrating his continued commitment to scholarly excellence and research advancement.

 

Publication Top Notes:

  • Title: Comparing Lexical Diversity of Bahasa between students of Islamic studies and engineering using Spark-NLP
  • Title: hFedLAP: A Hybrid Federated Learning to Enhance Peer-to-Peer
  • Title: Automatic Jammer Signal Classification Using Deep Learning in the Spectrum of AI-Enabled CR-IoT
  • Title: IoT Network-Based Intrusion Detection Framework: A Solution to Process Ping Floods Originating From Embedded Devices
  • Title: Science Learning in Answering Digital Competency Needs of Preservice Math and Science Teachers in the STEM Context

 

 

Dr. Tamer Omar | 5G wireless networks | Best Researcher Award

Dr. Tamer Omar | 5G wireless networks | Best Researcher Award

Dr. Tamer Omar, California State Polytechnic University, United States

Dr. Tamer Omar is a distinguished professional with a Ph.D. in Electrical and Computer Engineering from Iowa State University, USA, specializing in spectrum allocation optimization in 4G and wireless network cell design. Holding an MBA from the Arab Academy for Science & Technology and Maritime Transport, he showcases a unique blend of technical prowess and business acumen. Currently an Associate Professor at California State Polytechnic University, Pomona (CPP), Dr. Omar plays key roles as a Senior Project Coordinator and Digital Committee Chair, contributing to cutting-edge research in autonomous vehicle trajectory control and traffic optimization. His industry experience includes a role as an Applications Programmer at the Iowa Department of Transportation, emphasizing his proficiency in Oracle tools. An active member of the IEEE and holding certifications in IT service management (ITIL) and Oracle database administration (OCP), Dr. Omar exemplifies a commitment to staying at the forefront of technological advancements. His research interests span Wireless Networks, HetNets, Data Analysis, and 5G, reflecting a forward-looking approach in shaping the future of wireless communication. šŸŒšŸ”¬šŸŽ“

šŸŽ“Ā Education :

šŸ‘Øā€šŸŽ“ Dr. Tamer Omar, an accomplished professional, holds a Ph.D. in Electrical and Computer Engineering from Iowa State University, USA, awarded in December 2014. His research focuses on optimizing spectrum allocation in 4G, wireless network cell design, and enhancing physical resources in wireless networks through the application of infrastructure data sciences. Complementing his technical expertise, Dr. Omar earned a Masters of Business Administration from the Arab Academy for Science & Technology and Maritime Transport in Cairo, Egypt, in June 2007. Additionally, he achieved a Higher Diploma in Automatic Control from Ain Shams University, Egypt, in June 2004, showcasing his dedication to both engineering and business disciplines. šŸŽ“šŸŒšŸ”

šŸŒ Professional Profiles :Ā 

Google Scholar

Scopus

šŸ” Experience :

šŸ‘Øā€šŸ« Dr. Tamer Omar brings a wealth of academic and industry expertise to the realm of Electrical and Computer Engineering. Currently serving as an Associate Professor at California State Polytechnic University, Pomona (CPP), he not only imparts knowledge through courses like C for Engineers and Circuit Analysis but also takes on pivotal roles such as Senior Project Coordinator and Digital Committee Chair. In these capacities, he guides students in senior projects, manages digital systems courses assessment, and contributes to curriculum updates. Dr. Omar is actively involved in cutting-edge research, leveraging cloud-based technologies for autonomous vehicle trajectory control, traffic queue optimization, and developing safety alert apps for cyclists. His dedication extends beyond the classroom as he actively engages in departmental and university committees, showcasing a commitment to academic excellence. In the realm of industry, his prior role as an Applications Programmer at the Iowa Department of Transportation involved developing critical applications for the Laboratory Information Management System and honing his skills in Oracle tools, systems development life cycle, and middleware server implementation. šŸŽ“šŸ’»šŸš—

Certifications and Memberships :

šŸ‘Øā€šŸ’¼ Dr. Tamer Omar is an esteemed member of the IEEE since October 2015, showcasing his commitment to staying at the forefront of advancements in Electrical and Computer Engineering. His dedication to professional development is further underscored by certifications, including the Foundation Certificate in IT Service Management (ITIL) and the Oracle Certified Professional (OCP) in the Oracle database administrator track. These certifications reflect his expertise in IT service management and database administration, adding a valuable layer to his multifaceted skill set. Dr. Omar’s active engagement in professional organizations and pursuit of certifications exemplify his continuous pursuit of excellence in the ever-evolving landscape of technology. šŸ¤–šŸŽ“šŸ”—

šŸ§  Research Interests šŸ”¬šŸŒ :

šŸ“” Dr. Tamer Omar’s research interests form a dynamic intersection of cutting-edge technologies, with a primary focus on Wireless Networks, HetNets (Heterogeneous Networks), Data Analysis, and 5G wireless networks. In the vast landscape of telecommunications, he delves into the intricacies of wireless communication, exploring the potential of HetNets to enhance connectivity. Dr. Omar’s expertise extends to the realm of data analysis, unraveling insights from the vast datasets generated by modern networks. Additionally, he contributes to the evolution of wireless communication by actively engaging in research related to the transformative 5G networks, paving the way for the next generation of communication technologies. His research endeavors exemplify a forward-looking approach, leveraging diverse areas to shape the future of wireless communication. šŸŒšŸ“¶šŸ”

šŸ“šĀ Publication Impact and Citations :Ā 

Scopus Metrics:

  • šŸ“Ā Publications: 18 documents indexed in Scopus.
  • šŸ“ŠĀ Citations: A total of 56 citations for his publications, reflecting the widespread impact and recognition of Dr. Tamer Omarā€™s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 104 šŸ“–
    • h-index: 6 šŸ“Š
    • i10-index: 4 šŸ”
  • Since 2018:
    • Citations: 88 šŸ“–
    • h-index: 5 šŸ“Š
    • i10-index: 2 šŸ”

šŸ‘Øā€šŸ« A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. šŸŒšŸ”¬

Publications Top NotesĀ  :

1.Ā  Fault-tolerant small cells locations planning in 4G/5G heterogeneous wireless networks

Published in IEEE Transactions on Vehicular Technology, 2016

Cited by 29

2.Ā  A novel self-healing model using precoding & big-data based approach for 5G networks

Published in Pervasive and Mobile Computing, 2021

Cited by 20

3.Ā  End to end vanet/iot communications a 5g smart cities case study approach

Published in 2019 IEEE International Symposium on Technologies for Homeland Security

Cited by 10

4.Ā  Downlink spectrum allocation in 5g hetnets

Published in 2014 International Wireless Communications and Mobile Computing Conference

Cited by 10

5.Ā  Future Controller Design and Implementation Trends in Software Defined Networking

Published in 2018 2nd International Conference on Micro-Electronics and Telecommunication

Cited by 9

6.Ā  Detection of DDoS in SDN environment using entropy-based detection

Published in IEEE International Symposium on Technologies for Homeland Security (HST), 2019

Cited by 8

7.Ā  Smart Cities Traffic Congestion Monitoring and Control System

Published in Proceedings of the 2020 ACM Southeast Conference

Cited by 4

8.Ā  Development of undergraduate interdisciplinary cybersecurity program: A literature survey

Published in 2018 ASEE Annual Conference & Exposition

Cited by 4

9.Ā  A Precoding Real-Time Buffer Based Self-Healing Solution for 5G Networks

Published in Journal of Computer and Communications, 2021

Cited by 2

10.Ā  An IEEE1451. 7 based WSN design for V2I localization services in smart cities

Published in 2018 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile

Cited by 2