Haitham Adarbah | IoT | Best Researcher Award

Dr. Haitham Adarbah | IoT | Best Researcher AwardĀ 

Postdoctoral ResearcherĀ  | Texas A&M University |Ā  United States

Research for Best Researcher Award

Strengths for the Award

  1. Innovative Research Contributions: Haitham Adarbahā€™s research, particularly in areas such as vehicular networks, 5G technologies, and artificial intelligence, demonstrates a strong capacity for innovation. His work on enhancing communication protocols for connected autonomous vehicles and developing secure routing protocols for IoT is cutting-edge and addresses critical technological challenges.
  2. Extensive Publication Record: Adarbahā€™s impressive list of publications in high-impact journals and conferences showcases his substantial contributions to the field of computer science. His research has been widely recognized and disseminated, highlighting his role as a leading scholar in wireless networks and related technologies.
  3. Successful Grant Acquisition: His ability to secure funding for research projects, such as the TRC-funded project on secure RPL routing protocols, underscores his competency in attracting financial support and managing substantial research initiatives.
  4. Educational Impact: As an educator, Adarbah has significantly influenced the academic development of his students. His dedication to teaching diverse subjects in computer science and mentoring both undergraduate and graduate students is commendable.
  5. Cross-Functional Collaboration: Adarbah actively engages with both academic and industry collaborators, facilitating advancements in his research areas and promoting collaborative learning environments.

Areas for Improvement

  1. Broader Research Horizons: While Adarbahā€™s focus on wireless networks and vehicular technologies is highly specialized, expanding his research scope to include emerging areas such as quantum computing or advanced cybersecurity could enhance his impact and visibility in the broader computing field.
  2. Increased Interdisciplinary Work: Further interdisciplinary collaborations, particularly with fields such as healthcare or environmental sciences, could provide new perspectives and applications for his research, potentially leading to groundbreaking discoveries.
  3. Enhanced Public Engagement: Increasing public engagement and outreach through popular science articles, public talks, or community-based projects could improve the visibility of his research and its societal impact.
  4. International Collaboration: Expanding collaborations with international researchers and institutions could offer new opportunities for joint research projects and enhance the global impact of his work.
  5. Involvement in Professional Societies: Greater involvement in professional societies and editorial boards of high-impact journals could further solidify his reputation as a leading researcher and provide more platforms for sharing his insights.

Conclusion

Haitham Adarbahā€™s achievements in research and education make him a strong candidate for the Research for Best Researcher Award. His innovative contributions to wireless networks and communication technologies, coupled with his dedication to teaching and successful grant acquisition, highlight his exceptional qualifications. While there are areas for potential growth, such as expanding research horizons and increasing public engagement, Adarbahā€™s current accomplishments and impact on the field are noteworthy and deserving of recognition. His continued efforts in advancing technology and education underscore his commitment to excellence and innovation in computer science.

Short Biography šŸ“š

Dr. Haitham Adarbah is an Assistant Professor in Computer Science at Texas A&M University-Corpus Christi, known for his dynamic approach to teaching and research. With a rich background in computer science, Dr. Adarbah excels in instructing both undergraduate and graduate courses, mentoring students, and advancing academic development. His research focus spans 5G and 6G communication protocols, vehicular networks, and AI algorithms, complemented by his active role in grant writing and conference presentations. He is celebrated for his innovative contributions and effective communication skills in regional and national computing events.

Profile

SCOPUS

Education šŸŽ“

  • Postdoctoral Researcher (Ongoing)
    Texas A&M University, Corpus Christi, TX
    Focus: Enhancing connectivity and control for autonomous vehicles using AI algorithms in the 5G-6G era.
  • Doctor of Philosophy (PhD) in Wireless Networks
    De Montfort University, Leicester, UK
    Dissertation: Bandwidth and Energy-Efficient Route Discovery for Noisy Mobile Ad-Hoc Networks.
  • Master of Science in Computer Science
    Amman Arab University, Amman, Jordan
  • Bachelor of Science in Computer Science
    AL-Zaytoonah University of Jordan, Amman, Jordan

Experience šŸ¢

Dr. Adarbah has extensive experience in academia, having served as an IT Lecturer at Gulf College, Muscat, Oman, from April 2009 to August 2024. During this tenure, he taught a variety of subjects including Networks, Digital Solutions, and Artificial Intelligence. He also developed and delivered engaging lesson plans, fostered collaborative learning environments, and led numerous student research initiatives. His role involved evaluating student performance, mentoring, and orchestrating professional training sessions.

Research Interests šŸ”

Dr. Adarbah’s research interests include:

  • 5G and 6G Communication Systems: Developing protocols for enhanced connectivity.
  • Vehicular Networks and V2X Systems: Exploring advanced communication technologies for autonomous vehicles.
  • Artificial Intelligence and Machine Learning: Applying AI to optimize network performance.
  • IoT and Wireless Networks: Investigating secure and efficient routing protocols.

Awards šŸ†

  • Research Grant Appreciation from the Ministry of Higher Education ā€“ Research & Innovation of the Sultanate of Oman.
  • Teaching Excellence Award for the academic year 2015-16, recognizing his exceptional teaching and mentoring skills.

Publications šŸ“„

Sobouti, M. J., Adarbah, H. Y., et al. “Efficient Fuzzy-Based 3-D Flying Base Station Positioning and Trajectory for Emergency Management in 5G and Beyond Cellular Networks.” IEEE Systems Journal (2024).

Al-Harrasi, A. S., Adarbah, H., et al. ā€œExploring the Adoption of Big Data Analytics in the Oil and Gas Industry: A Case Study.ā€ Journal of Business, Communication & Technology (in press) (2024).

Adarbah, H. Y., Sookhak, M., & Atiquzzaman, M. “A Digital Twin Environment for 5G Vehicle-to-Everything: Architecture and Open Issues.” Proceedings of the Intā€™l ACM Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks (PE-WASUNā€™23) (2023).

Adarbah, H. Y., Moghadam, M. F., et al. “Security Challenges of Selective Forwarding Attack and Design a Secure ECDH-Based Authentication Protocol to Improve RPL Security,” IEEE Access vol. 11, pp. 11268-11280, (2023).

Adarbah, H. Y., Al-Badi, A., & Golzar, J. ā€œThe Impact of Emerging Data Sources and Social Media on Decision Making: A Culturally Responsive Frameworkā€ International Journal of Society, Culture & Language Volume 11, Issue 1, pp. 16-29, (2023).

Adarbah, H. Y., Al-Badi, A. H. ā€œBanking on the Cloud: Insights into Security and Smooth Operationsā€ Journal of Business, Communication & Technology (2023, in Press).

Adarbah, H. Y., Ahmad, S. ā€œImpact of Selective Forwarding Attacks on the Performance of RPL Routing Protocol in the Internet of Thingsā€ International Journal of Research Publication and Reviews Volume 3, Issue 6, pp. 1479-1487, (2022).

Adarbah, H. Y., Goode, M. M. H. ā€œKey Demand Factors in Professional Business Courses: A Mixed-Methods Studyā€ Journal of Business, Communication & Technology Volume 1, Issue 2, pp. 44-53, (2022).

Adarbah, H. Y., Jajarmi, H. ā€œActive Learning for Omani At-Risk Students through Educational Technology: A Case of Content-Based Language Instructionā€ International Journal of Society, Culture & Language Volume 10, Issue 2, pp. 82-91, (2022).

Adarbah, H. Y., Ahmad, S. ā€œChannel-Adaptive Probabilistic Broadcast in Route Discovery Mechanism of MANETsā€ Journal of Communications Software and Systems (JCOMSS) Volume 15, Issue 1, pp. 34-44, March (2019).

 

Sajad Zandi | Adaptive network | Best Researcher Award

Mr.Sajad Zandi | Adaptive network | Best Researcher Award

PhD student | University of technology Sydney | Australia

Sajad Zandi, born on March 27, 1988, is a highly skilled electrical engineer specializing in telecommunications. With extensive experience in research and development, project management, and academia, Sajad is currently a Senior Researcher at the School of Science, Swinburne University of Technology, Australia. Residing in Tehran, Iran, he is dedicated to advancing the field of electrical engineering through innovation and research.

Profile

Scopus

Education šŸŽ“

Sajad holds a Master of Electrical Engineering in Telecommunication from Malayer University, Iran (2014-2017), with a GPA of 17.33 out of 20. He earned his Bachelor of Telecommunication Engineering (Transmission) from the Safahan Institute of Higher Education, Iran (2009-2011), with a GPA of 16.76 out of 20. Additionally, he holds an Associate degree in Telecommunication-Data Communication from Hormozgan University, Iran (2007-2009), with a GPA of 16.30 out of 20.

Experience šŸ¢

Currently, Sajad is a Researcher in the R&D Department at SINA Innovative Communications System Company, Tehran, Iran. Previously, he served as a Technical Project Manager at Nokia-OM International Company, Tehran, Iran (2017-2019) and as a Researcher at Nabius International Institution, Esfahan, Iran (2011-2014).

Research Interests šŸ”

Sajad’s research interests lie in advanced telecommunication systems, deep learning, machine learning, and computer vision. His work focuses on developing robust algorithms and innovative solutions to address challenges in data communication and signal processing.

Awards šŸ†

  • Reviewing Journal of Signal Processing Award (March 2023)
  • TOEFL iBT (home edition) overall score: 102 (December 2021)
  • Online Courses in Adaptation and Learning (2015), covering tools, algorithms, and core concepts related to data inference, data analysis, and adaptation and learning theories.

Publications šŸ“š

  • 2023: “Diffusion Normalized Maximum Versoria Criterion Robust to Impulsive Noise,” IEEE Transactions on Circuits and Systems II: Express Briefs Journal. Link
  • 2022: “Diffusion Maximum Versoria Criterion Robust to Impulsive Noise,” Digital Signal Processing Journal. Link
  • 2021: “A Class of Diffusion Proportionate Subband Adaptive Filters for Sparse System Identification over Distributed Networks,” Circuits Systems and Signal Processing Journal. Link
  • 2017: “A distributed algorithm for demand-side management: Selling back to the grid,” Heliyon Journal. Link