Ihab Nassra | 5G-IoT | Best Researcher Award

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Dr. Ihab Nassra | 5G-IoT | Best Researcher Award

Dr. Ihab Nassra | Universitat Politècnica de València | Spain

Dr. Ihab Nassra is an accomplished researcher with a strong focus on Internet of Things (IoT), wireless body sensor networks, data compression techniques, and smart healthcare systems. His work on data compression for IoT-enabled wireless body sensor networks has systematically reviewed current methodologies and proposed research trends aimed at improving quality of service (QoS), demonstrating a deep understanding of network optimization and resource management. He has also contributed to the advancement of information retrieval systems, particularly in Arabic language processing, where his studies on Arabic stemmers have enhanced recall and retrieval efficiency. In addition, Dr. Nassra has explored software security through innovative approaches such as Dynamic Multi-Level Java Code Obfuscation Techniques, reflecting his commitment to protecting digital systems against threats. His research on sensor networks for smart hospitals and smart body area networks emphasizes the practical application of technology to improve healthcare monitoring, patient care, and data management. Through a combination of high-quality publications, interdisciplinary approaches, and focus on applied research, his work bridges the gap between theoretical development and real-world implementation. Dr. Nassra’s contributions have not only advanced knowledge in his primary fields but also addressed critical societal challenges, including healthcare efficiency, secure information management, and optimized network performance, establishing him as a leading figure in contemporary IoT and smart systems research.

Profile: Scopus | ORCID | Google Scholar

Featured Publications

Nassra, I., & Capella, J. V. (2023). Data compression techniques in IoT-enabled wireless body sensor networks: A systematic literature review and research trends for QoS improvement. Internet of Things, 23, 100806.

Nasra, I., & Maree, M. (2017). On the use of Arabic stemmers to increase the recall of information retrieval systems. In 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD).

Adwan, Y., Yasin, A., & Nassra, I. (2016). Dynamic Multi Levels Java Code Obfuscation Technique (DMLJCOT). International Journal of Computer Science and Information Security, 5

Nguyen, T. A., & Nassra, I. (2025). Sensor networks for smart hospitals. Elsevier.

Nassra, I., & Capella, J. V. (2025). Smart body area networks. In Sensor Networks for Smart Hospitals (pp. 41–75).

Prof. Maode Ma | 5G mobile networks | Best Researcher Award

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Prof. Maode Ma | 5G mobile networks | Best Researcher Award

Prof. Maode Ma, Qatar University, Singapore

Prof. Maode Ma, a Research Professor at Qatar University’s College of Engineering, holds a Ph.D. in Computer Science from Hong Kong University of Science and Technology, with a focus on Computer Networks. He earned his Master’s from Tianjin University and his Bachelor’s from Tsinghua University. Previously, he was an Assistant and Associate Professor at Nanyang Technological University, Singapore, and has held various consulting and engineering roles in China. A Fellow of the Institution of Engineering and Technology (IET) and a Senior Member of the IEEE Communication Society, Prof. Ma chairs the ACM Singapore Chapter and has served as Secretary of the IEEE Singapore Section. His research interests include Network Security and Wireless Networking, with notable projects on data collection in wireless sensor networks, security for V2X networks, and authentication for 5G terminals.

🌍 Professional Profile:

Google Scholar

Suitability for the Best Researcher Award

  1. Innovative Research: Prof. Maode Ma’s research focuses on cutting-edge topics such as network security, wireless networking, and 5G technologies. His work on compressive data collection, V2X network security, and access authentication is highly relevant and impactful.
  2. Publication Record: His extensive publication record, with significant citations, highlights the influence and reach of his research. The high citation counts reflect the importance and relevance of his work in the academic community.
  3. Professional Contributions: Prof. Ma’s roles in leading research projects and serving in prominent professional societies such as IEEE and ACM demonstrate his leadership and commitment to advancing the field of Computer Science.
  4. Teaching and Mentorship: His experience in teaching a wide range of Computer Science courses and his involvement in curriculum development showcase his dedication to education and mentoring the next generation of researchers.
  5. Leadership and Service: His roles as Chair of ACM, Singapore Chapter, and Secretary of IEEE Singapore Section underline his active involvement in professional societies and his contributions to the academic and research communities.

🎓 Education:

Prof. Maode Ma holds a Ph.D. in Computer Science from Hong Kong University of Science and Technology, with a focus on Computer Networks. He earned his Master’s in Computer Engineering from Tianjin University and his Bachelor’s in Computer Engineering from Tsinghua University.

🏛️ Professional Experience:

He is currently a Research Professor at the College of Engineering, Qatar University. Previously, he served as Assistant Professor and Associate Professor at Nanyang Technological University, Singapore. His extensive experience also includes consulting roles, lecturing, and engineering positions across China.

🌐 Professional Societies:

Prof. Ma is a Fellow of the Institution of Engineering and Technology (IET) and a Senior Member of IEEE Communication Society. He chairs the ACM Singapore Chapter and has served as Secretary of the IEEE Singapore Section.

📚 Teaching Activities:

He teaches a range of postgraduate and undergraduate courses, including Network Security, Wireless Networking, and Computer Networks.

🚀 Research Interests and Projects:

His research focuses on Network Security and Wireless Networking. Notable projects include Compressive Data Collection in Wireless Sensor Networks, Design of Security Functionality for V2X Networks, and Access Authentication for Massive Terminals in 5G Wireless Networks.

Publication Top Notes:

  • Title: A Survey on Security Aspects for LTE and LTE-A Networks
    • Year: 2013
    • Citations: 378
  • Title: A Survey on MAC Protocols for Underwater Wireless Sensor Networks
    • Year: 2014
    • Citations: 325
  • Title: A Bandwidth Guaranteed Polling MAC Protocol for Ethernet Passive Optical Networks
    • Year: 2003
    • Citations: 272
  • Title: Smart Healthcare in Smart Cities: Wireless Patient Monitoring System Using IoT
    • Year: 2021
    • Citations: 264
  • Title: A Strong User Authentication Scheme with Smart Cards for Wireless Communications
    • Year: 2011
    • Citations: 256

 

 

 

Dr. Suguna Paramasivam | Quality of Serivice for 5G networks | Future Network Visionary Award

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Dr. Suguna Paramasivam | Quality of Serivice for 5G networks | Future Network Visionary Award

Dr. Suguna Paramasivam, National Institute of Technology, India

Dr. Suguna Paramasivam is a dedicated wildlife researcher at the Himali Conservation Forum in Taplejung, Nepal 🌿. With a profound educational background in Zoology, specializing in Ecology, she brings a wealth of knowledge and expertise to her role. Dr. Paramasivam’s professional journey spans various domains, from serving as a consultant at the Zoological Society of London-Nepal 🌍, to teaching biostatistics to Master’s students at Tribhuvan University 📊. She is deeply committed to conservation efforts, contributing significantly to projects focused on species preservation and community engagement. Additionally, Dr. Paramasivam’s passion for mentorship is evident through her involvement in programs aimed at empowering young girls through education 📚. Her tireless dedication to wildlife research and education exemplifies her commitment to making a positive impact on the environment and society as a whole 🌟

Professional Profile:

Scopus

🎓 Educational Journey

Sandhya Sharma is currently pursuing her PhD in Informatics at the Muroran Institute of Technology, Hokkaido, Japan. She holds a Master’s Degree in Zoology with a specialization in Ecology from the Central Department of Zoology, Kirtipur, Nepal, and a Bachelor’s Degree in Zoology from Patan Multiple Campus, Nepal.

🦁 Professional Experience

Wildlife Researcher (2018-Ongoing) Sandhya works at the Himali Conservation Forum in Taplejung, Nepal. She develops and implements conservation projects, oversees coordination, monitors progress, and reports on key milestones. Her role involves data interpretation, hypothesis testing, and strategy improvement.

Consultant (2017-2018) At the Zoological Society of London-Nepal, Sandhya conducted social surveys and analyzed data on wildlife in Chitwan – Makwanpur – Parsa Conservation Area. She established Community Conservation Units and contributed to scientific journal articles on species like Pangolin, Tiger, and Gharial.

📚 Teaching and Mentorship

Part-time Lecturer (2017) Sandhya taught biostatistics to Master’s students at Tribhuvan University, assisting them with field surveys and data analysis.

Secondary Level Teacher (2009-2011) At Buddha Academy Kathmandu, she taught science and mathematics to secondary students, providing guidance and counseling for academic challenges.

Part-time Mentorship (2008-2011) Through the Underprivileged Girls Education Support Program (UGESP) in Kathmandu, Sandhya mentored over 150 young girls, educating them on various topics and tracking their educational progress.

🐾 Internship and Field Work

World Wildlife Fund Intern (2016-2017) Sandhya managed data, assisted in report writing, installed and monitored wildlife cameras, and conducted wildlife observations in the Gaurishankar Conservation Area.

Publication Top Notes:

  • Categorical learning for automated network traffic categorization for future generation networks in SDN
    • Cited by: 0
    • Year: 2024
    • Source: Computing
  • Quality of service aware routing in software defined video streaming: a survey
    • Cited by: 4
    • Year: 2023
    • Source: Peer-to-Peer Networking and Applications
  • Cor-ENTC: correlation with ensembled approach for network traffic classification using SDN technology for future networks
    • Cited by: 4
    • Year: 2023
    • Source: Journal of Supercomputing