Jian-Hong Wang | Computer Technology | Best Researcher Award

Published on by Global CAD Awards

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.

 

 

 

 

Ahmed Ismail | Computer technology | Best Researcher Award

Published on by Global CAD Awards

 

Mr. Ahmed Ismail | Computer technology | Best Researcher Award

Dr.med.student ,Universität Bonn, Germany

Dr. Ismail is a seasoned researcher whose work in food chemistry, safety, and nutrition addresses critical challenges relevant to health and industry. His consistent publication record, student mentorship, and leadership in funded projects all make him a compelling candidate for the Best Researcher Award.

Publication Profile

Education:

Ismail holds a Master of Science in Pharmacognosy from the Faculty of Pharmacy at Sana’a University, Yemen, which he completed in 2013. He previously earned a Bachelor of Pharmacy (BPharm) from the same university in 2008. His postgraduate studies have equipped him with a deep understanding of medicinal plants, natural products, and their pharmacological properties.

Professional Experience:

Ismail currently serves as a Lecturer in the Department of Pharmacognosy at the Faculty of Pharmacy, Sana’a University. His academic role includes delivering lectures, supervising practical sessions, and guiding student research projects. Additionally, he contributes to curriculum development and department-level academic activities. Over the years, Ismail has built a reputation for his dedication to teaching and scientific inquiry in the field of natural product pharmacology.

Skills:

Ismail possesses strong expertise in pharmacognosy and phytochemistry, with practical skills in the extraction, isolation, and analysis of bioactive compounds from medicinal plants. He is experienced in the application of chromatographic and spectroscopic techniques such as TLC, HPLC, and UV-Vis spectrometry. Furthermore, he demonstrates proficiency in scientific research, manuscript preparation, and academic supervision.

Awards and Scholarships:

Ismail was awarded the MEXT Scholarship by the Japanese Government in 2017, enabling him to pursue research in Japan. He also received the President’s Award for Academic Excellence during his undergraduate studies at Sana’a University. These accolades reflect his commitment to academic excellence and international scientific collaboration.

Research Focus:

Ismail’s research centers on the pharmacological and phytochemical investigation of medicinal plants, particularly those used in traditional Yemeni medicine. He is interested in identifying bioactive compounds with potential therapeutic effects, especially for antimicrobial and antioxidant applications. His work aims to bridge the gap between traditional knowledge and modern pharmaceutical science.

Publication : 

Dr. Ismail is highly suitable for the Best Researcher Award, especially in domains connected to Food Technology, Safety, and Public Health. His scholarly contributions, research leadership, and professional involvement reflect a deep dedication to science and make him a strong contender. Enhancing international collaboration and showcasing innovation outcomes would further elevate his profile.