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. Sergei Volvenko | Telecommunication | Best Researcher Award

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Mr. Sergei Volvenko | Telecommunication | Best Researcher Award

Mr. Sergei Volvenko | The Great St. Petersburg Polytechnical University | Russia

Sergei Volvenko 🎓🔬 is a Senior Researcher at Peter the Great St. Petersburg Polytechnic University, specializing in telecommunication systems, meteor burst communications, and network information technology. With a career spanning over two decades, he has contributed significantly to research, teaching, and international collaborations in space technology 🚀. His expertise extends to digital signal processing, nonorthogonal multifrequency signals, and SEFDM waveform optimization. Volvenko has played a key role in managing R&D projects, fostering academic partnerships, and enhancing telecommunication education 📡. His research has been published in leading journals, making him a prominent figure in the field.

Professional Profile:

SCOPUS

Suitability for Best Researcher Award

Sergei Volvenko is an exceptional candidate for the Best Researcher Award, given his extensive contributions to the field of telecommunication systems and meteor burst communications. With over two decades of research and academic experience, he has demonstrated a profound impact on both theoretical advancements and practical applications. His expertise in digital signal processing, SEFDM waveform optimization, and nonorthogonal multifrequency signals makes him a leading innovator in network information technology.

Education & Experience

  • 🎓 Tomsk State University – Graduated in Radiophysics and Electronics (1988–1995)
  • 🎓 St. Petersburg State Technical University – Master’s in Digital Signal Processing (1992–1994)
  • 🎓 St. Petersburg State Technical University – Research Student (1995–1997)
  • 🎓 St. Petersburg State Technical University – Ph.D. in Meteor Burst Communication Systems (1997–2000)
  • 📡 Telecommunications Engineer – Karaganda Metallurgical Plant, Kazakhstan (1995)
  • 🔬 Electronics Engineer – St. Petersburg State Technical University (2000–2001)
  • 💻 Computer Programmer – St. Petersburg State Technical University (2001–2002)
  • 🎤 Assistant Lecturer – St. Petersburg State Polytechnic University (2002–2007)
  • 👨‍🏫 Associate Professor – Peter the Great St. Petersburg Polytechnic University (2007–2020)
  • 🚀 Senior Researcher – Peter the Great St. Petersburg Polytechnic University (2020–Present)

Professional Development

Sergei Volvenko has been instrumental in advancing telecommunication technologies 📶, with a focus on research, education, and industry collaboration. As a university professor and researcher, he has designed and taught key courses on network information technology, electric communication networks, and telecommunication fundamentals 📖. His expertise in meteor burst communication systems and spectral efficiency has led to impactful research publications 📑. Volvenko is also engaged in international cooperation in space technology, working with global institutions to develop cutting-edge solutions 🚀. His technical proficiency extends to signal processing, software engineering, and project management, making him a key contributor in the field.

Research Focus

Sergei Volvenko specializes in telecommunication networks, digital signal processing, and meteor burst communication systems 📡. His research explores nonorthogonal multifrequency signals, SEFDM waveform optimization, and coherent detection algorithms 🔬. He has developed simulation models for efficient data transmission and contributed to the advancement of frequency division multiplexing systems 📊. His work is particularly relevant in improving spectral efficiency and network performance, making significant contributions to radio communication, information security, and space technology applications 🌍. Through his research, Volvenko has influenced the development of advanced modulation techniques, low-latency communication protocols, and high-efficiency transmission systems.

Awards & Honors

🏆 Research Excellence Award – Recognized for contributions to meteor burst communication research
🏅 Best Paper Award – Presented at an international telecommunication conference
📜 Distinguished Teaching Award – Honored for excellence in engineering education
🎖️ Innovation Grant – Received funding for advancements in spectral-efficient communication
🌍 International Collaboration Award – Recognized for fostering global research partnerships

Publication Top Notes:

📚 “Quantized Kernel Recursive q-Rényi-like Algorithm” (2025) – 1️⃣ citation 📊
📡 “Application of Convolutional Neural Networks Trained on Optical Images for Object Detection in Radar Images” (2024) – 3️⃣ citations 🎯
📶 “Prototype Filter Design for Effectively Suppressing Out-of-Band Radiation in GFDM Systems” (2023) – 9️⃣ citations 📡
📡 “Evaluation of the Transmission Efficiency of Multi-Frequency Signals with an Unknown Initial Phase in the Meteor Burst Communication System” (Year N/A) – 3️⃣ citations 🔄