Haitham Adarbah | IoT | Best Researcher Award

Dr. Haitham Adarbah | IoT | Best Researcher Award 

Postdoctoral Researcher  | Texas A&M University |  United States

Research for Best Researcher Award

Strengths for the Award

  1. Innovative Research Contributions: Haitham Adarbah’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: Adarbah’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 Adarbah’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 Adarbah’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, Adarbah’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 📚

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 🎓

  • 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 🏢

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 🔍

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 🏆

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

Publications 📄

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. “Exploring the Adoption of Big Data Analytics in the Oil and Gas Industry: A Case Study.” 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 Int’l ACM Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks (PE-WASUN’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. “The Impact of Emerging Data Sources and Social Media on Decision Making: A Culturally Responsive Framework” International Journal of Society, Culture & Language Volume 11, Issue 1, pp. 16-29, (2023).

Adarbah, H. Y., Al-Badi, A. H. “Banking on the Cloud: Insights into Security and Smooth Operations” Journal of Business, Communication & Technology (2023, in Press).

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

Adarbah, H. Y., Goode, M. M. H. “Key Demand Factors in Professional Business Courses: A Mixed-Methods Study” Journal of Business, Communication & Technology Volume 1, Issue 2, pp. 44-53, (2022).

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

Adarbah, H. Y., Ahmad, S. “Channel-Adaptive Probabilistic Broadcast in Route Discovery Mechanism of MANETs” Journal of Communications Software and Systems (JCOMSS) Volume 15, Issue 1, pp. 34-44, March (2019).

 

Jawad Khan | Software Engineering | Best Researcher Award

Prof Dr.Jawad Khan | Software Engineering | Best Researcher Award

Assistant Professor Gachon University  South Korea

Dr. Jawad Khan is an Assistant Professor at Gachon University, South Korea. With extensive experience in data science and artificial intelligence, Dr. Khan’s work focuses on semantic learning, machine learning, and natural language processing. He has made significant contributions to the fields of text mining, software engineering, and cloud computing. Dr. Khan is dedicated to advancing research in these areas through innovative approaches and interdisciplinary collaboration.

Profile

Scopus

Education

🎓 Dr. Khan completed his Ph.D. in Computer Science and Engineering from Kyung Hee University, South Korea, in 2020. His thesis, “An Ensemble-based Effective Features Engineering and Intelligent Unified Framework for Sentiment Analysis,” was supervised by Prof. Young-Koo Lee. He holds an M.Sc. in Computer Science from Kohat University of Science and Technology, Pakistan, where he developed a computerized hotel management system under the guidance of Mr. Qadeem Khan. He earned his B.Sc. in Computer Science from the University of Malakand, Pakistan.

Experience

💼 From October 2020 to February 2023, Dr. Khan served as a Postdoctoral Fellow in the Department of Applied Artificial Intelligence at Hanyang University, South Korea, focusing on big data mining and sentiment analysis. Prior to this, he was a Research Associate at Kyung Hee University, South Korea, from March 2014 to September 2020, where he worked on social media analytics and sentiment classification.

Research Interests

🔍 Dr. Khan’s research interests encompass data science, artificial intelligence, natural language processing, semantic learning, machine learning, deep learning, text mining, data mining, software engineering, computer vision, cloud computing, and IoT. He is particularly focused on developing intelligent frameworks for sentiment analysis and enhancing feature engineering techniques.

Awards & Honors

🏆 Dr. Khan has been honored with a fully funded Ph.D. scholarship from Kyung Hee University, which he held from March 2014 to September 2020. This prestigious award supported his doctoral studies and research in computer science and engineering.

Publications

📝 Dr. Khan has numerous publications in esteemed journals and conferences. Here are some of his notable works:

  1. Factors influencing vendor organizations in the selection of DevOps for global software development: an exploratory study using a systematic literature review. Cognition, Technology & Work (2023).
  2. Investigating the dynamic relationship between stigma of fear, discrimination and employees performance among healthcare workers during Covid-19 pandemic. Cognition, Technology & Work (2023).
  3. An empirical study for prioritizing issue of software project management team. Cognition, Technology & Work (2023).
  4. Human Activity Recognition Based on Deep-Temporal Learning Using Convolution Neural Networks Features and Bidirectional Gated Recurrent Unit With Features Selection. IEEE Access 11 (2023).
  5. Monkeypox detection using CNN with transfer learning. Sensors 23, no. 4 (2023).