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).

Mr. Bereket Endale Bekele | IoT Networking Awards | Best Researcher Award

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Mr. Bereket Endale Bekele | IoT Networking Awards | Best Researcher Award

Mr. Bereket Endale Bekele, Silesian University of Technology, Ethiopia

Bereket Endale Bekele is an IT professional from Addis Ababa, Ethiopia, with a background in Electrical Engineering and Informatics. Passionate about networking and IT infrastructure, he has amassed over four years of experience in roles spanning network administration, IT support, and consultancy. Bereket has been instrumental in optimizing networks for large enterprises and hospitality settings and is currently an IT Consultant with Phoenixopia, where he provides strategic insights for digital innovation. His academic pursuits include IoT research, with a keen focus on data transmission protocols. Bereket’s career ambition is to integrate AI into network management, developing adaptive, resilient systems for next-generation communication.

Professional Profile:

Orcid

🎓Education:

Bereket completed a Master’s in Informatics from the Silesian University of Technology in Poland, where he studied IoT security, computer networks, distributed systems, cloud computing, and machine learning. His thesis explored UDP-based data transmission in IoT environments, analyzing protocols to improve network efficiency. This education honed his understanding of data protection, scalability, and network architecture, equipping him with the technical acumen to address security challenges in IoT and develop efficient cloud solutions. Prior to this, he earned a Bachelor’s in Electrical Engineering from Adama Science and Technology University, with coursework in digital signal processing, communication systems, and electrical materials, laying a robust foundation for his career in IT.

🏢Experience:

Bereket’s career began as an IT Officer with Jupiter International Hotel and Trading in Ethiopia, where he provided IT support across the company’s trading and hospitality divisions. He then advanced to IT Network Administrator, managing complex networks and enhancing IT infrastructure performance. Moving to Concentrix, he worked as an IT Customer Support representative in Poland, strengthening his troubleshooting and customer service skills. Currently, Bereket serves as an IT Consultant with Phoenixopia in Ethiopia, where he advises on network security and optimization, leveraging his expertise to streamline and safeguard digital solutions.

🏅Awards and Honors:

Bereket has earned recognition for his technical and academic contributions in IT and IoT. He achieved a high academic distinction, graduating with a final grade of 4.72 in his Master’s program. His research on UDP-based data transmission in IoT environments was published, showcasing his innovative approach to improving network reliability. Bereket has also received commendations from supervisors for his commitment to advancing secure, efficient IoT solutions and for his hands-on expertise in enhancing network infrastructure for business and academic settings. These achievements reflect his dedication to creating impactful, future-ready IT solutions.

🔬Research Focus:

Bereket’s research focuses on optimizing data transmission in IoT environments, particularly using UDP-based protocols. His work evaluates the reliability, efficiency, and security of network protocols, emphasizing the importance of acknowledgment mechanisms to reduce packet loss in IoT networks. Bereket’s research extends to integrating AI with networking to predict network conditions and adapt protocols dynamically. His ongoing Ph.D. goals involve leveraging machine learning and edge-cloud technology to develop adaptable network systems that can support the growing demand for real-time, data-intensive applications across varied IoT topologies.

Publication Top Notes:

Performance Evaluation of UDP-Based Data Transmission with Acknowledgment for Various Network Topologies in IoT Environments

 

 

 

Mr. Mohamed Aziz | IoT Application | Best Researcher Award

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Mr. Mohamed Aziz | IoT Application | Best Researcher Award

Mr. Mohamed Aziz, Zagazig University, Egypt

Mr. Aziz is a Master’s candidate in Engineering at Zagazig University, Egypt, specializing in IoT applications for solar cell systems and smart grid technologies. With a notable CGPA of 3.94, he has contributed to the field through his journal article, “Internet of Things-Based Robust Green Smart Grid,” published in 2024. His extensive professional experience as an Optoelectronic Engineer at Abu Qir Seaport, combined with international training and exposure, enriches his expertise. Mr. Aziz is also a peer reviewer for IEEE Access Journal and has engaged in advanced training in 5G and digital transformation, showcasing his commitment to cutting-edge technologies and sustainable energy solutions.

Professional Profile:

Orcid

Suitability for the Award

Mr. Mohamed Aziz’s diverse experience in optoelectronics, combined with his advanced education and international training, showcases his commitment to and expertise in his field. His current research on IoT-based smart grids aligns with the themes of innovation and technological advancement central to the Research for Best Researcher Award. His role as a peer reviewer further underscores his engagement with cutting-edge research and his contribution to the academic community.

Academic Achievements and Research Contributions:

Mr. Aziz is currently pursuing a Master’s degree in Engineering at Zagazig University, Egypt, focusing on IoT applications in solar cell systems management and performance improvement. His research is highly relevant in the context of sustainable energy solutions and smart grid technologies, areas that are critical for addressing global environmental challenges.

His academic journey includes a strong performance in pre-master’s courses, with a CGPA of 3.94, demonstrating his commitment to academic excellence. Additionally, he has authored a journal article titled “Internet of Things-Based Robust Green Smart Grid,” published in the journal Computers in 2024, contributing to the body of knowledge in IoT and smart grid systems.

Professional Experience and Expertise:

Mr. Aziz has over a decade of experience as an Optoelectronic Engineer at Abu Qir Seaport, where he has conducted research, performed analyses, and maintained various devices. His role has also included significant international exposure, with training and education in the USA, Italy, Greece, Saudi Arabia, Bahrain, UAE, and Kuwait. This global experience has enriched his technical skills and broadened his understanding of optoelectronic systems.

His professional experience is complemented by his role as a peer reviewer for the IEEE Access Journal, indicating his engagement with the latest developments in his field and his contribution to maintaining the quality of academic research.

Training and Continuous Learning:

Mr. Aziz has pursued various training courses to enhance his expertise in cutting-edge technologies, including 5G, digital transformation, and international scientific publishing. His continuous learning efforts, particularly in fields such as IoT and 5G, align with current technological trends and demonstrate his commitment to staying at the forefront of innovation.

His extensive training in operation and maintenance with leading global companies such as Raytheon, Leonardo, and Boeing highlights his practical expertise and ability to apply theoretical knowledge to real-world engineering challenges.

Publications and Scholarly Impact:

His recent publication in the Computers journal, co-authored with other researchers, highlights his contribution to advancing research in IoT-based smart grids. This work is particularly important given the growing emphasis on renewable energy and the need for robust, efficient energy management systems.

Publication Top Notes:

  • Title: Internet of Things-Based Robust Green Smart Grid
  • Journal: Computers
  • Year: 2024