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).

Dr. Mosiur Rahaman | Internet of Things Award | Best Researcher Award

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Dr. Mosiur Rahaman | Internet of Things Award | Best Researcher Award

Dr. Mosiur Rahaman, Asia University, Taiwan

👨‍💼 Dr. Mosiur Rahaman is a versatile researcher and educator with a profound expertise in computer science and information engineering. With a Ph.D. from Asia University and a background in HR with IT, Mosiur has seamlessly blended technology with social sciences. His research focuses on empowering rural communities through secure IoT solutions, while his teaching experience spans across various institutions in Taiwan and India. Mosiur’s dedication to advancing technology for societal development is evident in his diverse research portfolio and commitment to academic excellence. 🌐🔍📚

Professional Profile:

Scopus

Orcid

Google Scholar

🎓 Education:

  • Ph.D. in Computer Science and Information Engineering, Asia University, 2024
  • MBA in HR with IT, Osmania University, 2017
  • MTech in Computer Science and Engineering, JNTU Hyderabad, 2014

🔬 Research Experience:

  • Full-time Researcher at Asia University, focusing on empowering rural India with secure IoE solutions.
  • Part-time roles include facilitating academic exchange programs and conducting AI research.

👨‍🏫 Teaching Experience:

  • Served as an Adjunct Lecturer and Teaching Assistant at Asia University, imparting knowledge in humanities, social sciences, and computer science.
  • Also worked as an English Teacher at Kuang Fu Elementary and Junior High Schools in Taiwan.

🏅 Achievements:

  • Published several research papers and contributed to advancements in IoT security and AI.
  • Developed innovative solutions for rural community development and internet distributed systems optimization.

📚 Publication Impact and Citations :

Scopus Metrics:

  • 📝 Publications: 10 documents indexed in Scopus.
  • 📊 Citations: A total of 41 citations for his publications, reflecting the widespread impact and recognition of Dr. Mosiur Rahaman’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 103 📖
    • h-index: 02  📊
    • i10-index: 01 🔍
  • Since 2018:
    • Citations: 103 📖
    • h-index: 02 📊
    • i10-index: 01 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

Publications Top Notes :

  1. AlexNet convolutional neural network for disease detection and classification of tomato leaf
    • Published in Electronics in 2022.
    • Cited by 87 articles.
  2. Web semantic-based MOOP algorithm for facilitating allocation problems in the supply chain domain
    • Published in the International Journal on Semantic Web and Information Systems (IJSWIS) in 2023.
    • Cited by 2 articles.
  3. Blockchain Implementation in Indian Pharmaceutical Supply Chain Diminish Counterfeit Product
    • Published in the First Mandalika International Multi-Conference on Science and Engineering in 2022.
    • Cited by 2 articles.
  4. Utilizing Random Forest Algorithm for Sentiment Prediction Based on Twitter Data
    • Published in the First Mandalika International Multi-Conference on Science and Engineering in 2022.
    • Cited by 2 articles.
  5. Analysis of attacks on private cloud computing services that implicate denial of services (DOS)
    • Published in Cyber Security Insights Magazine in 2022.
    • Cited by 2 articles.