Jirui Li | Edge Computing | Best Researcher Award

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Dr. Jirui Li | Edge Computing | Best Researcher Award

Professor at Henan University of Chinese Medicine | China

Dr. Jirui Li, Ph.D. in Engineering, is a Professor at Henan University of Chinese Medicine and an active member of the Chinese Computer Federation and the Chinese Association for Artificial Intelligence, whose research focuses on network behavior monitoring in large-scale distributed environments, with notable contributions to network trusted architecture, behavior attribute mining and prediction, and network energy saving, evidenced by extensive publications in leading international journals and conferences, multiple national invention patents and software copyrights, and leadership and participation in major national, provincial, and industry–university–research scientific projects.

Citation Metrics (Scopus)

300

240

180

120

60

0

Citations
290

Documents
33

h-index
10

🟦 Citations    🟥 Documents    🟩 h-index


View Scopus Author Profile

Dhulfiqar Zoltán Alwahab | Edge Computing | Best Researcher Award

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Assoc. Prof. Dr. Dhulfiqar Zoltán Alwahab | Edge Computing | Best Researcher Award

Assoc. Prof. Dr. Dhulfiqar Zoltán Alwahab | Obuda University | Hungary

Assoc. Prof. Dr. Dhulfiqar Zoltán Alwahab is an active researcher with 134 citations across 100 documents, producing 28 scholarly publications and holding an h-index of 8. His research spans computer networks, cybersecurity, distributed systems, big data, IoT, cloud computing, and advanced networking technologies, with notable contributions to network automation and programmable network environments. He has participated in multiple research and development initiatives involving P4Edge, UNKP-ELTE-IK, and EFOP-ELTE-IK, contributing to innovative solutions in software-defined networking, Linux systems, and Dev Net-based architectures. His work includes journal and conference publications addressing emerging Internet technologies, intelligent network management, and data-driven optimization methods. He has been involved in several academic and applied research projects, including training-oriented technology programs in Python, AWS, big data, and IoT systems, enriching both industry and academic communities. His research outputs demonstrate meaningful advancements in network security, digital infrastructure design, and scalable cloud services. He has also contributed through instructional roles supporting research capacity building in networking technologies and open-source systems. His achievements reflect significant research engagement, impactful citations, and ongoing contributions to contemporary computing and networking innovations.

Profile: Scopus | ORCID | Google Scholar 

Featured Publications:

Ali, T. E., Ali, F. I., Dakić, P., & Zoltan, A. D. (n.d.). Trends, prospects, challenges, and security in the healthcare internet of things. Computing, 107(1), 28.

Alwahab, D. A., & Laki, S. (n.d.). A simulation-based survey of active queue management algorithms. Proceedings of the 6th International Conference on Communications and Networking.

Biró, C., & Kusper, G. (n.d.). Equivalence of strongly connected graphs and black-and-white 2-SAT problems. Miskolc Mathematical Notes, 19(2), 755–768.

Zaghar, D. (n.d.). Simplified the QoS factor for the ad-hoc network using fuzzy technique. International Journal of Communications, Network and System Sciences.

AlWahab, D. A., Gombos, G., & Laki, S. (n.d.). On a deep q-network-based approach for active queue management. Joint European Conference on Networks and Communications & 6G Summit.

Harikrishna Bommala | Cloud Computing | Best Researcher Award

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Prof. Dr. Harikrishna Bommala | Cloud Computing | Best Researcher Award

Prof. Dr. Harikrishna Bommala | KG Reddy College Of Engineering And Technology | India

Prof. Dr. Harikrishna Bommala is an accomplished researcher in Computer Science and Engineering with a strong record of publications, patents, and funded projects. His research spans artificial intelligence, cloud computing, cybersecurity, IoT, blockchain, and data privacy. He has authored over 28 documents with 66 citations by 57 documents and holds an h-index of 4. Prof. Dr. Harikrishna Bommala has published widely in Scopus, Web of Science, and IEEE-indexed journals and contributed to international conferences in Denmark, Australia, Canada, and India. His innovative contributions include multiple Indian patents in areas such as AI-driven cybersecurity, IoT-based environmental monitoring, and smart automation systems. He has collaborated on national research projects funded by DST, AICTE, and SERB, with several proposals shortlisted and sanctioned. As an editorial and program committee member for numerous international journals and conferences, he actively supports scholarly peer review and knowledge dissemination. His editorial roles in IJRICSE, IJCSA, and IJCSE, along with service as reviewer for IEEE Access and Information Security Journal, highlight his academic influence. His recent works explore generative AI, fuzzy logic applications in healthcare, and blockchain for pharmaceutical data management, underscoring his contributions to emerging interdisciplinary research in computing and intelligent systems.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications: 

Levy Flight Pelican Optimization Algorithm based feature selection for Multi-Class Gastrointestinal Disease. Journal of Information Systems Engineering and Management, eISSN: 2468-4376, SCOPUS-UGC.

Improving Data Transfer Performance to Unlock Potential of Cloud Service Providers. Journal of Electrical Systems (JES), ISSN: 1112-5209, SCOPUS-UGC CARELIST-2.

Artificial Intelligence in Healthcare: Revolutionizing Early Detection of Intervention in Clinical Practice. TELEMATIQUE, ISSN: 1856-4194, WOS–ESCI.

Innovative Synergies: Examining Artificial Intelligence with Enhanced Smart Library Services on Boost User Engagement. Nanotechnology Perceptions, ISSN: 1660-6795.

Blockchain for Pharmaceutical Data Management and Quantum Computing Innovations. IGI Global Publishers, DOI: 10.4018/979-8-3693-3212-2.ch008.

Dr. Meng-Wei Chang | Edge Computing | Best Researcher Award

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Dr. Meng-Wei Chang | Edge Computing | Best Researcher Award

Dr. Meng-Wei Chang, National Taiwan University of Science and Technology, Taiwan

Dr. Meng-Wei Chang is a highly skilled Chief Engineer with a strong background in electrical engineering and computer science. He holds a PhD from the National Taiwan University of Science and Technology and has extensive experience in developing innovative solutions for companies like ADATA Technology, Admiral Overseas Corporation, and Tatung. His expertise lies in RFQ/RFI assessments, hardware and software design, and autonomous mobile robots. Meng-Wei is a published author and holds multiple patents in the field of low power consumption and adaptive dynamic neural network inference. His passion for technology and dedication to delivering cutting-edge products make him a valuable asset to any team.

🌐 Professional Profiles :

Scopus

🎓 Education:

PhD in Electrical Engineering, National Taiwan University of Science and Technology. Undergraduate Coursework: Operating Systems; Databases; Algorithms; Programming Languages; Embedded Systems.

👨‍💻 Experience:

  • Leader Engineer at ADATA Technology: Developed autonomous mobile robot, participated in product prototype showcase, worked with National Taiwan University Hospital, Chunghwa Post, and Taoyuan Aerotropolis.
  • Leader Engineer at Admiral Overseas Corporation: Responsible for brand design, collaborated with units in Taipei, Hsinchu, Xiamen, Fujian, and Shenzhen, involved in US-China trade war assessments and cost reduction developments.
  • Engineer at Tatung: Developed first Android TV set-top box, designed Android streaming multimedia operational framework, provided RFQ/RFI solutions for various companies.

📝 Research & Patents:

Low power consumption and adaptive dynamic neural network inference and data processing flow patent in the Republic of China and USA, with Shun-Feng Su.

🏆 Research Interest :

Dr. Meng-Wei Chang’s research interests include Fog Computing, Edge Computing, Control Systems, and AI Acceleration. He is passionate about exploring innovative solutions in these areas and leveraging them to enhance the performance and efficiency of computing systems. With his expertise in electrical engineering and computer science, Meng-Wei is dedicated to developing novel approaches that harness the power of these technologies to solve real-world problems. 🌐

Publications Top Notes :

  1. Adaptive neural acceleration unit based on heterogeneous multicore hardware architecture FPGA and software-defined hardware
    • Published Year: 2024 (Article in Press)
    • Journal: Journal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers, Series A
  2. Real-time multi-fusion perceptron architecture for autonomous drones
    • Published Year: 2022
    • Journal: Journal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers, Series A