Gaber Hassan | Internet of Things | Best Researcher Award

Published on by Computer Scientists Awards

Dr. Gaber Hassan | Internet of Things | Best Researcher Award

Dr. Gaber Hassan, Faculty of computers and information, Arish University, Egypt.

Dr. Gaber Hassan Alsayed Ahmed is an esteemed Egyptian academic and researcher in Computer Science, renowned for his work in artificial intelligence, image processing, and biomedical signal analysis. Born in Alakma, Hehia, Sharkia, he is currently a lecturer at the Faculty of Computers and Informatics, Al-Arish University. His professional journey reflects extensive academic engagement across multiple Egyptian institutions. With a career rooted in research, teaching, and program coordination, Dr. Gaber is actively shaping the next generation of technologists. He has authored impactful publications and presented at global conferences, contributing significantly to AI-driven healthcare technologies and intelligent systems.

Publication Profile

Google Scholar

🎓 Education Background

Dr. Gaber earned his Ph.D. in Computer Science from the Faculty of Science, Zagazig University in April 2021, focusing on advanced computational models and data-driven systems. His academic path began with a B.Sc. in Computer Science from the same university in 2007, where he graduated with honors. He later obtained a Master’s degree in Computer Science in April 2014. His solid academic foundation in discrete mathematics, programming, and AI has equipped him with versatile knowledge and practical expertise, supporting a career that integrates research with innovative teaching in areas like deep learning and pattern recognition.

🧑‍🏫 Professional Experience

Dr. Gaber has held diverse teaching and administrative positions since 2010. Currently serving at Al-Arish University, he previously coordinated the computer science program at Obour High Institute and lectured part-time at Suez University. From 2020–2022, he was both Director of the Quality Assurance Unit and lecturer at Sinai University. His earlier roles include assistant lecturer and teaching assistant positions across multiple faculties. Throughout his career, he has taught over 25 computer science and mathematics courses, mentored undergraduate and Ph.D. students, and organized workshops on bioinformatics and emerging technologies in computing.

🏆 Awards and Honors

Dr. Gaber has received multiple awards recognizing his academic and teaching excellence. In 2024, he earned a certificate for presenting two impactful papers at the 2nd ASRIC-OI’ Conference. He has completed elite courses like “Artificial Intelligence for Medicine” from the University of Genoa and AI training from Zewail City. His contributions to workshops, including those at Bibliotheca Alexandrina and Sinai University, have also earned certificates of appreciation. His accolades reflect his commitment to continuous learning and innovation in education, particularly in applying AI in healthcare and engineering domains.

🔬 Research Focus

Dr. Gaber focuses on artificial intelligence, biomedical image processing, signal compression, deep learning, and pattern recognition. His recent work involves detecting video forgeries using CNNs, deepfake identification, and developing intelligent systems for health applications. His contributions integrate advanced algorithms like quaternion and orthogonal moments for bio-signal enhancement. He actively supervises research on topics like deep learning applications and mobile solutions for the visually impaired. His vision blends real-world problem-solving with computational intelligence, making his research both academically rigorous and practically impactful across medicine, security, and smart devices.

📌 Conclusion

In conclusion, Dr. Gaber Hassan Alsayed Ahmed stands as a dedicated academic and researcher shaping the fields of artificial intelligence and computer science education in Egypt. His teaching excellence, innovative research, and interdisciplinary applications set him apart as a leader in modern computing. With a strong publication record and involvement in national and international academic events, Dr. Gaber is committed to leveraging AI for societal advancement. His dynamic career exemplifies the fusion of pedagogy, research, and community service—making him a valuable contributor to the academic and scientific communities.

📚 Publication Top Notes

  1. Protecting IoT Networks Through AI-Based Solutions and Fractional Tchebichef Moments
    🔗 Fractal and Fractional, 2025
    📅 Year: 2025 | Cited by: [4+ articles on Google Scholar]
    📘 Journal: Fractal and Fractional

  2. Efficient Analysis of Large-Size Bio-Signals Based on Orthogonal Generalized Laguerre Moments
    🔗 Fractal and Fractional, 2023
    📅 Year: 2023 | Cited by: [6+ articles on Google Scholar]
    📘 Journal: Fractal and Fractional

  3. Efficient Compression of Fetal Phonocardiography Bio-Medical Signals
    🔗 IEEE Access, 2023
    📅 Year: 2023 | Cited by: [5+ articles on Google Scholar]
    📘 Journal: IEEE Access

  4. New Set of Invariant Quaternion Krawtchouk Moments
    🔗 International Journal of Image and Graphics, 2022
    📅 Year: 2022 | Cited by: [2+ articles]
    📘 Journal: IJIG

  5. Efficient Retrieval System for Biomedical Images Using Radial Associated Laguerre Moments
    🔗 IEEE Access, 2020
    📅 Year: 2020 | Cited by: [17+ articles]
    📘 Journal: IEEE Access

  6. Efficient Quaternion Moments for Representation of Biomedical Color Images
    🔗 Biomedical Engineering: ABC, 2020
    📅 Year: 2020 | Cited by: [11+ articles]
    📘 Journal: Biomedical Engineering: Applications, Basis and Communications

  7. Comprehensive Study of Genetic Evolution of Heat Shock Factor 1 (HSF1)
    🔗 ESTIJ, 2013
    📅 Year: 2013 | Cited by: [3+ citations]
    📘 Journal: Engineering Science and Technology: An International Journal

  8. Mathematical Modeling and Classification of Viruses from Herpesvirus Family
    🔗 IJCA, 2014
    📅 Year: 2014 | Cited by: [8+ citations]
    📘 Journal: International Journal of Computer Applications

 

Dr. Sotirios Brotsis | Internet of Things | Best Researcher Award

Published on by Computer Scientists Awards

Dr. Sotirios Brotsis | Internet of Things | Best Researcher Award

Department of Informatics and Telecommunications, University of the Peloponnese, Greece

Sotirios Brotsis is a dedicated researcher in the field of blockchain technology, cryptography, and IoT security 🔒. He holds a B.S. in Mathematics from the University of Patras and an M.S. in Informatics and Telecommunications from the University of Peloponnese 🎓. Currently, he is pursuing a Ph.D. at the University of Peloponnese, under the supervision of Associate Professor N. Kolokotronis. With a strong academic background and a passion for cybersecurity, he has made significant contributions to the field, publishing in top-tier venues and actively participating as a Technical Program Committee (TPC) member and reviewer for international conferences and journals 📚.

Publication Profile

📘 Education

Sotirios Brotsis began his academic journey with a B.S. in Mathematics (2009–2015) at the University of Patras, Greece 🏛️. His interest in computing and security led him to pursue an M.S. in Informatics and Telecommunications at the University of Peloponnese 🎓. Currently, he is a Ph.D. candidate at the University of Peloponnese, focusing on blockchain technology and IoT security 🔐.

💼 Experience

Since October 2018, Sotirios Brotsis has been actively engaged in research at the University of Peloponnese as a Ph.D. candidate 📊. His work revolves around blockchain-based security solutions for IoT ecosystems, cryptographic protocols, and digital forensics 🔍. His expertise is recognized globally, and he has contributed as a TPC member and reviewer for international journals and conferences 🏆.

🏅 Awards and Honors

Sotirios Brotsis has received recognition for his contributions to blockchain and IoT security research. His research has been featured in top international journals, conferences, and book chapters, establishing him as an emerging expert in cybersecurity and cryptographic systems 🥇.

🔬 Research Focus

His research primarily focuses on blockchain security, cryptography, IoT forensics, and digital evidence preservation 🔐. He is actively working on post-quantum blockchain platforms, secure IoT ecosystems, and privacy-enhancing cryptographic solutions. His work addresses real-world security challenges in IoT applications and distributed ledger technologies 📡.

✅ Conclusion

Sotirios Brotsis is a rising researcher in blockchain security, cryptography, and IoT forensics 🔒. His contributions in digital forensics, post-quantum cryptography, and blockchain-based security have positioned him as an influential scholar in cybersecurity 🔥. With an impressive academic background, numerous publications in reputed journals, and active involvement in international research collaborations, he continues to push the boundaries of secure and privacy-preserving blockchain applications 🚀.

📝 Publications

Blockchain meets Internet of Things (IoT) forensics: A unified framework for IoT ecosystems – Internet of Things, 2023 🔗 DOI: 10.1016/j.iot.2023.100968

Towards Post-Quantum Blockchain Platforms – Security Technologies and Methods for Advanced Cyber Threat Intelligence, Detection and Mitigation, 2022 🔗 DOI: 10.1561/9781680838350.ch7

Blockchain-Enabled Digital Forensics for the IoT: Challenges, Features, and Current Frameworks – IEEE International Conference on Cyber Security and Resilience, 2022 🔗 DOI: 10.1109/csr54599.2022.9850327

On the suitability of blockchain platforms for IoT applications: Architectures, security, privacy, and performance – Computer Networks, 2021 🔗 DOI: 10.1016/j.comnet.2021.108005

On the Security and Privacy of Hyperledger Fabric: Challenges and Open Issues – IEEE World Congress on Services, 2020 🔗 DOI: 10.1109/services48979.2020.00049

On the Security of Permissioned Blockchain Solutions for IoT Applications – IEEE Conference on Network Softwarization (NetSoft), 2020 🔗 DOI: 10.1109/netsoft48620.2020.9165480

On Blockchain Architectures for Trust-Based Collaborative Intrusion Detection– IEEE World Congress on Services, 2019 🔗 DOI: 10.1109/services.2019.00019

Blockchain Solutions for Forensic Evidence Preservation in IoT Environments – IEEE Conference on Network Softwarization (NetSoft), 2019 🔗 DOI: 10.1109/netsoft.2019.8806675