Gaber Hassan | Internet of Things | Best Researcher Award

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

๐ŸŽ“ 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 Masterโ€™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.

๐Ÿง‘โ€๐Ÿซ 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 2020โ€“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.

๐Ÿ† 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-OIโ€™ Conference. He has completed elite courses like โ€œArtificial Intelligence for Medicineโ€ 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.

๐Ÿ”ฌ 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.

๐Ÿ“Œ 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 serviceโ€”making him a valuable contributor to the academic and scientific communities.

๐Ÿ“š Publication Top Notes

  1. Protecting IoT Networks Through AI-Based Solutions and Fractional Tchebichef Moments
    ๐Ÿ”— Fractal and Fractional, 2025
    ๐Ÿ“… Year: 2025 | Cited by: [4+ articles on Google Scholar]
    ๐Ÿ“˜ Journal: Fractal and Fractional

  2. Efficient Analysis of Large-Size Bio-Signals Based on Orthogonal Generalized Laguerre Moments
    ๐Ÿ”— Fractal and Fractional, 2023
    ๐Ÿ“… Year: 2023 | Cited by: [6+ articles on Google Scholar]
    ๐Ÿ“˜ Journal: Fractal and Fractional

  3. Efficient Compression of Fetal Phonocardiography Bio-Medical Signals
    ๐Ÿ”— IEEE Access, 2023
    ๐Ÿ“… Year: 2023 | Cited by: [5+ articles on Google Scholar]
    ๐Ÿ“˜ Journal: IEEE Access

  4. New Set of Invariant Quaternion Krawtchouk Moments
    ๐Ÿ”— International Journal of Image and Graphics, 2022
    ๐Ÿ“… Year: 2022 | Cited by: [2+ articles]
    ๐Ÿ“˜ Journal: IJIG

  5. Efficient Retrieval System for Biomedical Images Using Radial Associated Laguerre Moments
    ๐Ÿ”— IEEE Access, 2020
    ๐Ÿ“… Year: 2020 | Cited by: [17+ articles]
    ๐Ÿ“˜ Journal: IEEE Access

  6. Efficient Quaternion Moments for Representation of Biomedical Color Images
    ๐Ÿ”— Biomedical Engineering: ABC, 2020
    ๐Ÿ“… Year: 2020 | Cited by: [11+ articles]
    ๐Ÿ“˜ Journal: Biomedical Engineering: Applications, Basis and Communications

  7. Comprehensive Study of Genetic Evolution of Heat Shock Factor 1 (HSF1)
    ๐Ÿ”— ESTIJ, 2013
    ๐Ÿ“… Year: 2013 | Cited by: [3+ citations]
    ๐Ÿ“˜ Journal: Engineering Science and Technology: An International Journal

  8. Mathematical Modeling and Classification of Viruses from Herpesvirus Family
    ๐Ÿ”— IJCA, 2014
    ๐Ÿ“… Year: 2014 | Cited by: [8+ citations]
    ๐Ÿ“˜ Journal: International Journal of Computer Applications

 

SEKAR C | Internet of Things | Best Researcher Award

Dr. SEKAR C | Internet of Things | Best Researcher Award

Reserach Scholar, NIT Trichy, India

Dr. C. Sekar is a dedicated researcher, educator, and technologist specializing in IoT, cryptography, and secure data transactions. With a passion for innovation, he has contributed significantly to the development of IoT-enabled lightweight encryption algorithms for industry, healthcare, and forensic applications. Currently serving as an Assistant Professor at SRM IST, Trichy Campus, he is committed to mentoring and guiding students in cutting-edge technologies like Full Stack Development, AR/VR, and Advanced Computer Networks. His extensive hands-on experience in real-world IoT applications and cybersecurity makes him a valuable asset in the field of computer science.

Publication Profile

๐ŸŽ“ Education

Dr. C. Sekar earned his Ph.D. in Computer Science and Engineering from the National Institute of Technology, Tiruchirappalli, in July 2024, with a specialization in IoT and Embedded Systems, Cryptography, and Network Security. His research focused on “Investigations on IoT-Enabled Lightweight Image Encryption Algorithms for Industry, Healthcare, and Forensic Applications.” Prior to his doctorate, he completed his Master of Engineering in Computer Science and Engineering at the Indian Institute of Information Technology, Trichy, in 2016. His academic journey began with a Bachelor of Engineering from the Coimbatore Institute of Engineering and Technology, Coimbatore, in 2013, where he worked on network security-based projects.

๐Ÿ’ผ Experience

Dr. Sekar has amassed extensive experience in research, academia, and industry. Before joining SRM IST, he worked on multiple government-sponsored research projects. As a Senior Research Fellow at NIT Trichy, he contributed to projects like the CMPDI-sponsored “Electronification of GWC and Conveyor Systems in Mines” and the C-DAC-sponsored “Emergency Response Support System.” He also played a key role in the DST-funded project for women’s digital empowerment. In addition to research, he worked as a Database Administrator at Bharat Electronics Limited, Bangalore, managing large-scale database operations for the National Population Register and Aadhaar Card Project. His expertise extends to freelancing, where he has been developing IoT-based home automation systems.

๐Ÿ† Awards and Honors

Dr. Sekar’s contributions to IoT security and digital transformation have earned him recognition in the research community. His work has been published in high-impact journals and international conferences. His research on secure IoT-enabled medical record sharing and real-time image encryption for Industry 4.0 has been widely cited. He is also a Microsoft Certified Technology Specialist, reflecting his deep expertise in software development, cybersecurity, and advanced networking protocols.

๐Ÿ”ฌ Research Focus

Dr. Sekarโ€™s research primarily revolves around IoT-enabled real-world applications, lightweight cryptography, and secure data transactions in distributed networks. His work integrates emerging technologies like AI/ML with IoT to create smart solutions for industries and healthcare. He has significant expertise in advanced computer networking protocols, including 5G, LoRa, and ZigBee. His research contributions have led to the development of patent-worthy prototype models for real-time security applications, particularly in data encryption and cybersecurity.

๐Ÿ”— Publications

Smart camera with image encryption: a secure solution for real-time monitoring in Industry 4.0ย 

Secure IoT-enabled sharing of digital medical records: An integrated approach with reversible data hiding, symmetric cryptosystem, and IPFSย 

Development of predictive model-based mobile application for maturity stage identification of Indian traditional red bananas

Secure App Login Authorization for IoT Devices Using OAuth 2.0

TKBG โ€” The knowledge-based grep using self-key discovery and semantic linking for online resourcesย 

๐Ÿ”š Conclusion

Dr. C. Sekar is an accomplished academician and researcher with deep expertise in IoT security, cryptography, and network protocols. His innovative contributions to secure data transactions and IoT-enabled applications have made a significant impact in the field of computer science. With a strong background in academia, research, and industry, he continues to inspire students and researchers by bridging the gap between theoretical knowledge and real-world applications. His work in developing AI-integrated IoT solutions and encryption technologies is poised to shape the future of cybersecurity and smart systems. ๐Ÿš€