Jian-Hong Wang | Computer Technology | Best Researcher Award

Prof. Jian-Hong Wang | Computer Technology | Best Researcher Award 

Professor | Shandong University of Technology | China

Prof. Jian-Hong Wang is a professor in the Department of Computer Science and Technology at Shandong University of Technology, China, specializing in areas such as bandwidth guarantee of networks, online audio and video synchronization technology, wireless networks admission control, IoT control, efficient management for wireless multimedia devices, smart building, virtual reality human–robot interaction, and big data analytics. He earned his doctorate from National Chung Cheng University, Taiwan, and has since built an extensive academic career marked by research, teaching, and leadership. His professional experience includes serving as a faculty member at Shandong University of Technology, where he has actively contributed to advancing computer science and technology through both theoretical and applied research. His scholarly output includes numerous influential publications in high-impact journals and international conferences, covering topics such as fault-tolerant content management, disease-related SNP detection, brain network community analysis, real-time streaming systems, admission control policies, optical data hiding, and multimedia communication systems. Prof. Wang’s research interests lie in integrating computational intelligence with network systems, smart technologies, and human–robot interaction to address emerging challenges in wireless communications, data management, and digital applications. He has been recognized for his academic contributions through multiple publications, collaborations, and professional activities, establishing his reputation as a dedicated researcher and educator committed to fostering innovation and knowledge dissemination.

Profile:  Orcid 

Featured Publications

Wang, H.-Y., Wang, J.-H., Zhang, J., & Tai, H.-W. (2024). The collaborative interaction with Pokémon-Go robot uses augmented reality technology for increasing the intentions of patronizing hospitality. Information Systems Frontiers. Advance online publication.

Tran, N. C., Wang, J.-H., Vu, T. H., Tai, T.-C., & Wang, J.-C. (2023). Anti-aliasing convolution neural network of finger vein recognition for virtual reality (VR) human–robot equipment of metaverse. The Journal of Supercomputing, 79(2), 1690–1708.

Lo, C.-M., Wang, J.-H., & Wang, H.-W. (2022). Virtual reality human–robot interaction technology acceptance model for learning direct current and alternating current. The Journal of Supercomputing, 78(18), 20229–20249.

Xiao, L., Feng, J., Niu, X., Wang, J.-H., & Lv, J. (2022). Using competitive binary particle swarm optimization algorithm for matching sensor ontologies. Mobile Information Systems, 2022, Article 2207252.

Feng, J., Niu, X., Zhang, J., Wang, J.-H., & Lee, C.-Y. (2022). Gene selection and classification of scRNA-seq data combining information gain ratio and genetic algorithm with dynamic crossover. Wireless Communications and Mobile Computing, 2022, Article 9639304.

Lian, W., Fu, L., Niu, X., Feng, J., Wang, J.-H., & Xue, X. (2022). Solving sensor ontology metamatching problem with compact flower pollination algorithm. Wireless Communications and Mobile Computing, 2022, Article 9662517.

 

 

 

 

Yichao Wang | Security | Best Researcher Award

Assoc. Prof. Dr. Yichao Wang | Security | Best Researcher Award

Associate professor, Shenyang City University ,China

Yichao Wang exemplifies an applied researcher with vision, technical depth, and a clear commitment to solving real-world infrastructure problems using advanced technologies. His track record of innovation, leadership in BIM/CIM, and measurable project outcomes make him an outstanding candidate for the Best Researcher Award. His research not only advances academic knowledge but also contributes to safer, smarter, and more sustainable cities.

Profile
📚Publication 

Title: Seismic Risk Assessment Method of Underground Space Based on Fuzzy Evaluation Method
Authors: Yichao Wang, Caihong Zhang, Jing Kang
Year: 2025

Title: Condition Assessment Method for Transmission Line with Multiple Outputs Based on Variable Weight Principle and Fuzzy Comprehensive Evaluation
Authors: Yichao Wang
Year: 2017

🏁conclusion:

Yichao Wang’s research integrates computer-aided design with civil engineering in ways that are novel, impactful, and aligned with international goals of infrastructure resilience and smart urban development. With continued international engagement, he is poised to become a global leader in digital infrastructure research.

Ammar Odeh |Cyber Security | Best Researcher Award

Dr. Ammar Odeh |Cyber Security | Best Researcher Award

Princess Sumaya University for Technology,Jordan

Dr. Ammar Odeh is a distinguished academic at Princess Sumaya University for Technology (PSUT) in Jordan. With a strong focus on research and teaching, Dr. Odeh has contributed significantly to advancing technology and innovation in his field. His expertise spans various domains of engineering and computer science, making him a respected figure in academia. As a part of PSUT, Dr. Odeh continues to inspire students and peers through his dedication to knowledge dissemination and impactful research.

Summary:

Dr. Ammar Odeh is a dedicated academic and researcher in the field of computer science, with a strong focus on computer security and steganography. With over a decade of teaching experience and research involvement, he has contributed significantly to the academic community. His work on enhancing data security in wireless networks and his expertise in Unicode and text steganography are noteworthy. His mentorship of students and active participation in university activities further demonstrate his leadership in the academic sphere.

 

Professional Profiles:

 Scopus

🎓 Education :

Dr. Ammar M. Odeh has a robust educational foundation in computer science and engineering. He earned a Ph.D. in Computer Science and Engineering from the University of Bridgeport in 2015, focusing on computer security with a specialization in steganography. His academic journey continued with a Master of Science in Computer Science from the University of Jordan in 2006, emphasizing reverse software engineering and computer security. His foundational studies in technology were completed with a Bachelor of Science in Computer Science from the Hashemite University in 2002.

 

🏢 Experience:

Dr. Odeh’s academic career spans multiple institutions and roles, showcasing his expertise in teaching and research. Since 2019, he has served as an Assistant Professor at Princess Sumaya University for Technology in Jordan, employing innovative teaching methods and mentoring students. Previously, he held the position of Assistant Professor at the University of Al Maarefa in Saudi Arabia from 2015 to 2019, where he conducted research and guided student technology projects. His earlier roles include lecturer, research assistant, and computer lab supervisor, reflecting a comprehensive understanding of academic environments.

🛠️Skills:

Dr. Odeh possesses advanced expertise in computer security, with a strong focus on steganography and cryptography. He is proficient in various programming languages, operating systems, and network security technologies. Additionally, he demonstrates strong teaching capabilities in subjects such as information retrieval and data communications, equipping students with practical and theoretical knowledge.

 

Research Focus :

Dr. Odeh’s research interests are diverse and cutting-edge. He specializes in innovations in text steganography, developing novel algorithms for secure communication. His work also extends to enhancing wireless network security and exploring human-computer interaction. Recently, his academic contributions have expanded into quantum computing, with a focus on optimizing algorithms for advanced computational applications.

🔬Awards:

Dr. Odeh’s dedication to academia and research has earned him several prestigious accolades. He received a Full Graduate Scholarship Award for his Ph.D. studies at the University of Bridgeport and was honored with the UPE Award for academic excellence in 2014. He is also an active member of renowned professional organizations, including IEEE and ACM, reflecting his commitment to the advancement of his field.

Conclusion:

Dr. Odeh is a highly qualified and accomplished individual who shows great promise as a leader in the field of computer science and engineering. His research is timely and important, contributing to critical areas of cybersecurity. His teaching and mentoring efforts are also commendable, ensuring the next generation of scholars and professionals is well-equipped for future challenges. With continued focus on expanding his research and broadening his publishing efforts, Dr. Odeh is certainly a deserving candidate for the Best Researcher Award.

 Publications:

  1. Utilizing Linear Regression and Random Forest Models for Money Laundering Identification
    • Authors: Odeh, A., Taleb, A.A.
    • Journal: Telkomnika (Telecommunication Computing Electronics and Control)
    • Year: 2024
    • Volume & Issue: 22(6)
    • Pages: 1573–1580
    • Citations: 0
  2. Utilizing Minimum Spanning Trees for Effective Mobile Sink Routing in Wireless Sensor Networks
    • Authors: Taleb, A.A., Odeh, A.
    • Journal: Indonesian Journal of Electrical Engineering and Computer Science
    • Year: 2024
    • Volume & Issue: 36(3)
    • Pages: 1938–1949
    • Citations: 0
  3. XSSer: Hybrid Deep Learning for Enhanced Cross-Site Scripting Detection
    • Authors: Odeh, A., Abu Taleb, A.
    • Journal: Bulletin of Electrical Engineering and Informatics
    • Year: 2024
    • Volume & Issue: 13(5)
    • Pages: 3317–3325
    • Citations: 0
  4. Ensemble Learning Techniques Against Structured Query Language Injection Attacks
    • Authors: Odeh, A., Taleb, A.A.
    • Journal: Indonesian Journal of Electrical Engineering and Computer Science
    • Year: 2024
    • Volume & Issue: 35(2)
    • Pages: 1004–1012
    • Citations: 0
  5. Data Privacy and Compliance in IoT (Book Chapter)
    • Authors: Odeh, A., Taleb, A.A., Alhajahjeh, T., Daradkeh, N.A., Al-Jarallah, N.A.
    • Year: 2024
    • Citations: 0
  6. Cryptographic Solutions (Book Chapter)
    • Authors: Odeh, A., Taleb, A.A., Alhajahjeh, T., Aparicio-Navarro, F.
    • Year: 2024
    • Citations: 0
  7. Effective Routing of Mobile Sink in Wireless Sensor Networks Using Steiner Trees
    • Authors: Taleb, A.A., Odeh, A.O.A.
    • Journal: Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications
    • Year: 2024
    • Citations: 0
  8. Invisible Shield: Unveiling an Efficient Watermarking Solution for Medical Imaging Security
    • Authors: Odeh, A., Taleb, A.A., Alhajahjeh, T., Navarro, F.
    • Journal: Applied Sciences (Switzerland)
    • Year: 2023
    • Citations: 0
  9. A Multi-Faceted Encryption Strategy for Securing Patient Information in Medical Imaging
    • Authors: Odeh, A., Taleb, A.A.
    • Journal: Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications
    • Year: 2023
    • Citations: 2
  10. Ensemble-Based Deep Learning Models for Enhancing IoT Intrusion Detection
    • Authors: Odeh, A., Abu Taleb, A.
    • Journal: Applied Sciences (Switzerland)
    • Year: 2023
    • Citations: 5