Dr. Haitham Adarbah | AI in Network Awards | Best Researcher Award

Dr. Haitham Adarbah | AI in Network Awards | Best Researcher Award

Dr. Haitham Adarbah, Texas A&M University, United States

Dr. Haitham Adarbah is a Postdoctoral Researcher at Texas A&M University, Corpus Christi, specializing in communication protocols for autonomous vehicles with a focus on AI and 5G-6G technologies. He holds a Ph.D. in Wireless Networks from De Montfort University, UK, an M.Sc. in Computer Science from Amman Arab University, and a B.Sc. in Computer Science from AL-Zaytoonah University of Jordan. Dr. Adarbah’s research includes enhancing connectivity for autonomous vehicles and has previously explored vehicular networks, 5G, IoT, cloud computing, and AI as an IT Lecturer at Gulf College, Muscat. His significant publications address efficient broadcasting in mobile ad-hoc networks and security improvements in network protocols. With extensive teaching experience, he has mentored students and contributed to curriculum development in Computer Science.

šŸŒĀ Professional Profile:

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Suitability for the Best Researcher Award

  1. Innovative Research: Dr. Adarbah’s research in advanced areas like 5G-6G connectivity, AI algorithms, and vehicular networks represents cutting-edge work in Computer Science. His focus on optimizing communication protocols and enhancing network performance is highly relevant and impactful.
  2. Publication Record: His publications in reputable journals and conferences reflect a strong research output and influence. The citations of his work indicate that his research is recognized and valued within the academic community.
  3. Cross-Disciplinary Contributions: Dr. Adarbah’s ability to integrate AI with wireless network technologies and his contributions to both theoretical and applied aspects of network research highlight his versatility and expertise in the field.
  4. Teaching and Mentorship: His long-standing teaching experience and dedication to mentoring students demonstrate his commitment to academic excellence and the development of future researchers.
  5. Professional Development: His role in preparing grant proposals and collaborating with industry partners underscores his active engagement in advancing research and securing funding.

šŸŽ“ Education:

Dr. Haitham Adarbah is a Postdoctoral Researcher at Texas A&M University, Corpus Christi, specializing in communication protocols for autonomous vehicles with a focus on AI and 5G-6G technologies. He earned his PhD in Wireless Networks from De Montfort University, UK, with research on bandwidth and energy-efficient route discovery. He also holds an M.Sc. in Computer Science from Amman Arab University and a B.Sc. in Computer Science from AL-Zaytoonah University of Jordan.

šŸ“š Academic and Research Experience:

Currently, Dr. Adarbah engages in cutting-edge research on enhancing connectivity for autonomous vehicles at Texas A&M University. His previous role as an IT Lecturer at Gulf College, Muscat, involved teaching and researching in areas such as vehicular networks, 5G, IoT, cloud computing, and AI.

šŸ“ Research Achievements:

Dr. Adarbah’s notable publications include works on efficient broadcasting in mobile ad-hoc networks, the impact of carrier sensing on route discovery, and security improvements in network protocols. His research interests span route discovery mechanisms, noise impact in broadcasting, vehicular networks, and AI applications in wireless technologies.

šŸ‘Øā€šŸ« Teaching and Mentorship:

With extensive teaching experience, Dr. Adarbah has mentored students in research and contributed to curriculum design and development across a range of Computer Science subjects.

Publication Top Notes:

  • Title: Efficient Broadcasting for Route Discovery in Mobile Ad-Hoc Networks
    • Year: 2015
    • Citations: 14
  • Title: Impact of Physical and Virtual Carrier Sensing on the Route Discovery Mechanism in Noisy MANETs
    • Year: 2013
    • Citations: 12
  • Title: Impact of Noise and Interference on Probabilistic Broadcast Schemes in Mobile Ad-Hoc Networks
    • Year: 2015
    • Citations: 10
  • Title: Security Challenges of Selective Forwarding Attack and Design a Secure ECDH-Based Authentication Protocol to Improve RPL Security
    • Year: 2022
    • Citations: 6
  • Title: Impact of the Noise Level on the Route Discovery Mechanism in Noisy MANETs
    • Year: 2012
    • Citations: 5

 

 

 

 

 

Assoc Prof Dr. Lun Zhao | AI in Network Award | Best Researcher Award

Assoc Prof Dr. Lun Zhao | AI in Network Award | Best Researcher Award

Assoc Prof Dr. Lun Zhao, Shenzhen Polytechnic University, China

Dr. Lun Zhao, a distinguished academic and researcher at Shenzhen Polytechnic University, China šŸ‡ØšŸ‡³, holds dual Ph.D. degrees in Mechanical Engineering from Blekinge Institute of Technology, Sweden, and in Mechanical and Electrical Engineering from Kunming University of Science and Technology, China šŸŽ“. As a Distinguished Associate Researcher at the Institute of Intelligent Manufacturing Technology since 2022, Dr. Zhao has made significant strides in intelligent manufacturing, publishing over 70 academic papers, including 8 in JCR Area 1 journals šŸ“š. He has also been granted 4 authorized invention patents. Dr. Zhao leads the Intelligent Connection New Technology R&D Team and directs several key research centers. His outstanding contributions have earned him recognitions such as the Shenzhen Overseas High-Level Talent Introduction ā€œPeacock Plan Category Cā€ šŸ†. He has also hosted and participated in numerous research projects worth over 10 million RMB, demonstrating his expertise and leadership in the field šŸŒŸ.

šŸŒ Professional Profile:

Scopus

šŸŽ“ Educational Background

  • Ph.D. in Mechanical Engineering: Blekinge Institute of Technology, Sweden (2015.12-2017.1)
  • Ph.D. in Mechanical and Electrical Engineering: Kunming University of Science and Technology, China (2012.09-2018.06)

šŸ’¼ Professional Experience

  • Distinguished Associate Researcher: Institute of Intelligent Manufacturing Technology, Shenzhen Polytechnic University (2022.7ā€“present)
  • Secondment: Shenzhen Municipal Science and Technology Innovation Commission Major Special Project Division (2022.12-2023.8)
  • Postdoctoral Fellow: Institute of Integration, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (2020.9ā€“2022.6)
  • Distinguished Associate Professor: School of Mechanical Engineering, Guizhou University (2018.9-2020.7)

šŸ“š Academic Contributions

Dr. Zhao Lun has made significant contributions to the field of intelligent manufacturing. He has published over 70 academic papers, with 8 in JCR Area 1 journals. He has been granted 4 authorized invention patents and has supervised numerous postgraduate students, including 3 postdoctoral, 3 doctoral, and over 30 masterā€™s students.

šŸ† Achievements and Roles

  • Leader: Intelligent Connection New Technology R&D Team
  • Director: Shenzhen Vocational College-Guangzhou Xindongli Ultrasonic Welding R&D Center
  • Director: Shenzhen Vocational College-Guangdong Haimingsheng Intelligent Connection Joint Laboratory
  • Postdoctoral Supervisor
  • External Tutor: Tsinghua University Shenzhen International Graduate School

šŸŒŸ Recognitions and Awards

  • Shenzhen Overseas High-Level Talent Introduction ā€œPeacock Plan Category Cā€
  • Hosted and participated in research projects: Worth over 10 million RMB, including the 2022 National Key R&D Plan of the Ministry of Science and Technology, National Natural Science Foundation Youth Fund Project, China Postdoctoral Fund General Project, and Shenzhen High-end Talent Scientific Research Startup Project.

Publication Top Notes:

  • Numerical and experimental investigation of an Archimedes screw turbine for open channel water flow application
  • A Deep Convolutional Neural Network-Based Method for Self-Piercing Rivet Joint Defect Detection
  • Mechanical properties of ultrasonic welded and self-piercing riveted joints in a 5A06 aluminum alloy and a TA1 titanium alloy
  • Influence of Patterns on Mechanical Properties of Ultrasonically Welded Joints in Copper Substrate and Wire
  • Numerical study on the injection strategy on combustion and emission characteristics of a non-road diesel engine under different altitude conditions