Zied Guitouni | Cryptographie | Best Researcher Award

Dr. Zied Guitouni | Cryptographie | Best Researcher Award

ISSAt Mahdia | Tunisia

PUBLICATION PROFILE

Scopus

🎓 EARLY ACADEMIC PURSUITS

DR. ZIED GUITOU began his academic journey with a Baccalauréat in Mathematics (2000), paving the way for a focused career in electronics and microelectronics. He earned his Maîtrise in Electronics and Instrumentation (2004) from ESSTT, followed by a Master’s degree in Microelectronic Devices and Systems (2006) from FSM. His academic excellence culminated in a Ph.D. in Electronics (2012) from FST, with a thesis focused on the study and implementation of random and pseudo-random key generators for cryptographic systems. His education, deeply rooted in both theory and practical application, set a strong foundation for his technical and pedagogical contributions.

👨‍🏫 PROFESSIONAL ENDEAVORS

Dr. Guitou holds the title of Maître Assistant in Electronics at ISSAT Mahdia, Tunisia, where he has been actively teaching since 2019. His professional experience also includes a notable tenure as a professional and technical trainer at the Faculty of Technology in Riyadh, Saudi Arabia (2013–2019). Over the years, he has taught a wide array of subjects across undergraduate and postgraduate levels, ranging from analog and digital electronics to cryptography and VHDL systems, demonstrating a versatile teaching profile and strong engagement in academic development.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Guitou’s primary research interests revolve around cryptographic systems, random key generation, VHDL implementations, and emerging areas such as artificial intelligence, blockchain, and machine learning. His doctoral and master’s research tackled core challenges in cryptographic security, while his more recent work delves into neural cryptosystems, quantum communication algorithms (e.g., BB84), and blockchain-based hashing. His supervision of numerous master’s theses and engineering projects shows a deep commitment to mentoring innovation in applied electronics and AI systems.

🌍 IMPACT AND INFLUENCE

Beyond teaching, Dr. Guitou has left a mark through his organizational and administrative roles. He is the Director of the Department of ICT at ISSAT Mahdia, a member of the scientific council, and actively involved in quality assurance and entrepreneurial programs. He has helped organize international conferences including CCSITA 2024, CCITT 2025, and AIEB 2021, all of which serve to bring international visibility to Tunisia’s academic and research communities. His participation in pedagogical training programs—such as AI for higher education and machine learning workshops—highlights his commitment to continuous learning and interdisciplinary collaboration.

📚 ACADEMIC CITES

Dr. Guitou has supervised both research and professional master’s theses on cutting-edge topics including wireless sensor network security, autonomous navigation systems, neural cryptosystems, and AI-powered medical applications. These projects, often hosted in collaboration with notable Tunisian institutions and laboratories, contribute to Tunisia’s growing body of applied research in AI and electronics. His guidance has resulted in multiple successful thesis defenses with mentions of ‘Très Bien’ and ‘Bien’, affirming the academic impact of his mentorship.

🧠 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Guitou’s legacy lies in his unwavering dedication to educational excellence, research supervision, and institutional development. His ongoing work in artificial intelligence integration, quantum security systems, and intelligent electronics signals a bright future, both for his students and the broader academic ecosystem. As he continues to take on leadership roles and mentor future innovators, his contributions will shape the evolution of engineering education and smart technologies in North Africa.

📝 FINAL NOTE

DR. ZIED GUITOU is a distinguished academician, researcher, and mentor whose contributions span cryptographic innovation, AI in electronics, and academic leadership. With his multidimensional expertise and a clear vision for technological advancement, he continues to be a pillar in Tunisia’s academic and technological spheres, driving forward innovation, education, and collaborative research excellence.

 📚 TOP NOTES PUBLICATIONS

Article: An efficient hardware implementation of SHA-3 using 3D cellular automata for secure wireless sensor networks

Authors: Zied Guitouni, Noeman Ammar, Mohsen Machhout
Journal: International Journal of Information Security
Year: 2025

Article: Advanced error correction method for quantum key distribution in IoT systems

Authors: Zied Guitouni, Sirine Maize, Mounir Zrigui, Mohsen Machhout
Journal: Physica Scripta
Year: 2024

Article: An efficient hardware implementation of SHA-3 using 3D cellular automata for secure blockchain-based IoT systems

Authors: Zied Guitouni, Noeman Ammar, Mohsen Machhout
Journal: Engineering Research Express Journal
Year: 2024

Article: A QoS Analysis of SHA Algorithms for IoT Systems

Authors: Zied Guitouni, Eya Ben Brahim, Mounir Zrigui, Mohsen Machhout
Journal: International Journal of Emerging Trends in Engineering Research
Year: 2024

Article: Security Analysis of the BB84 Protocol in IoT Networks

Authors: Zied Guitouni, Sirine Maize, Mounir Zrigui, Mohsen Machhout
Journal: International Journal of Advanced Trends in Computer Science and Engineering
Year: 2024

Sina Rezaei | Data Analysis | Best Researcher Award

Mr. Sina Rezaei | Data Analysis | Best Researcher Award

University of Tehran | Iran

Publication Profile

Orcid

Biography of Mr. Sina Rezaei 📚

📚 Passionate Photogrammetry & 3D Reconstruction Specialist

Sina Rezaei is an innovative researcher currently pursuing his M.Sc. in Photogrammetry at the University of Tehran. With a strong foundation in Surveying Engineering, Sina’s academic journey focuses on the application of photogrammetry, 3D modeling, and remote sensing in the preservation of cultural heritage and geospatial analysis. His work is aimed at enhancing 3D reconstruction using spherical cameras and photogrammetry techniques, combining both scientific research and technology.

🎓 Education

Sina holds a B.Sc. in Surveying Engineering from the University of Tehran, where he achieved an impressive GPA of 3.72/4. He ranked among the top students in his class, showcasing his academic excellence. He is currently pursuing an M.Sc. in Photogrammetry at the same institution, with a focus on 3D Reconstruction of cultural heritage structures. His thesis examines the use of spherical cameras and photogrammetry techniques to improve accuracy in cultural preservation.

🔬 Research Interests

Sina’s research interests lie at the intersection of photogrammetry, computer vision, and 3D modeling. He is particularly interested in remote sensing, machine learning, and data analysis. His goal is to push the boundaries of image processing and optimization techniques to improve the accuracy and efficiency of 3D reconstruction methods, especially in the context of cultural heritage conservation and geospatial engineering.

🔧 Research & Work Experience

Sina has worked extensively in the field of photogrammetry and remote sensing. He is currently augmenting GNSS devices with visual positioning systems using photogrammetry solutions and implementing Structure from Motion (SFM) and Bundle Adjustment (BA) algorithms. In his Research Intern role at i3mainz, he focused on 3D reconstruction using spherical cameras, DSLR cameras, and laser scanners. Additionally, he contributed to the super-resolution of Sentinel-2 satellite data for urban sprawl analysis.

👨‍🏫 Teaching Experience

Sina has also gained valuable teaching experience as a Teaching Assistant for several courses at the University of Tehran, including Photogrammetric Data Acquisition, Data Collection from Images, and Technical English. His teaching role reflects his dedication to sharing his knowledge and passion for photogrammetry with the next generation of students.

🖥️ Selected Course Projects

During his academic career, Sina has worked on a variety of technical projects, including Photogrammetry Calculations, where he optimized stereo and aerial images using Python. He has also implemented optimization algorithms and image matching techniques using fuzzy logic in Soft Computing and worked on satellite image processing and radiometric corrections in his Remote Sensing Laboratory.

🏅 Honors & Awards

Sina has earned multiple honors during his academic journey, including being ranked 5th among 40 students in the College of Surveying and Geospatial Engineering at the University of Tehran. He is a proud member of the Iran’s National Elites Foundation, which granted him direct admission into the M.S. degree program. He has also earned certificates from Stanford University and DeepLearning.AI for completing courses in Supervised Machine Learning and Advanced Learning Algorithms.

📚 Top Notes Publications

Evaluation of Network Design and Solutions of Fisheye Camera Calibration for 3D Reconstruction
    • Authors: Sina Rezaei, Hossein Arefi

    • Journal: Sensors

    • Year: 2025

Quality Analysis of 3D Point Cloud Using Low-Cost Spherical Camera for Underpass Mapping
    • Authors: Sina Rezaei, Angelina Maier, Hossein Arefi

    • Journal: Sensors

    • Year: 2024

Shanshan Chen | Data Analysis | Best Researcher Award

Dr. Shanshan Chen | Data Analysis | Best Researcher Award

Jilin Agricultural University, China

👨‍🎓Professional Profile

Scopus Profile

🧑‍🏫 Summary

Dr. Shanshan Chen is an Associate Professor at the College of Horticulture, Jilin Agricultural University, China. She specializes in facility vegetable cultivation physiology and disease-resistant breeding, with a focus on improving agricultural practices and enhancing crop resistance. Dr. Chen has led over 30 scientific projects, contributing to national and provincial research initiatives. Additionally, she has played a key role in developing agricultural standards and patents. As an educator, she teaches courses on horticultural plant breeding, soilless cultivation, and industrialized agriculture.

👩‍🎓 Education

Dr. Shanshan Chen completed her Bachelor’s in Horticulture (2000-2004), Master’s in Vegetable Science (2004-2007), and PhD in Crop Cultivation and Farming Systems (2009-2015) at Jilin Agricultural University.

💼 Professional Experience

Since 2007, Dr. Chen has been an Associate Professor in Facility Agricultural Science and Engineering at Jilin Agricultural University, focusing on agricultural education, research, and development.

📚 Academic Citations

Dr. Chen has authored over 10 research papers, contributed to two new crop varieties, and applied for three utility model patents. She has also helped formulate numerous agricultural standards.

🛠️ Technical Skills

Her expertise lies in facility vegetable cultivation physiology, disease-resistant breeding, and agricultural project management. Dr. Chen has been involved in pioneering agricultural practices and technologies.

👩‍🏫 Teaching Experience

Dr. Chen has taught various courses, including Facility Agriculture, Horticultural Plant Breeding, and Advanced Horticultural Physiology. She has supervised national-level student entrepreneurial projects and won the Second Prize in the 2016 Classroom Teaching Competition for Young Teachers.

🔬 Research Interests

Her research focuses on facility vegetable cultivation physiology, disease-resistant breeding in crops like eggplant and spikenard, and developing advanced agricultural techniques to improve crop quality and efficiency.

 📖Top Noted Publications
Study on the Diversity of Bacterial Communities in the Rhizosphere Soils of Different Wild Celery Species in Jilin Province
    • Authors: Chen, S., Zou, Y., Zhao, C., Zou, Y., Qiao, J.
    • Journal: Agronomy
    • Year: 2024
Effects of Different Combinations of Red and Blue Light on the Edible Organ Morphology and Quality of Buckwheat (Fagopyrum esculentum Moench) Microgreens
    • Authors: Qiao, J., Li, Z., Lv, Z., Chen, S., Feng, Y.
    • Journal: Agronomy
    • Year: 2024
Salicylic Acid Had the Potential to Enhance Tolerance in Horticultural Crops Against Abiotic Stress
    • Authors: Chen, S., Zhao, C.-B., Ren, R.-M., Jiang, J.-H.
    • Journal: Frontiers in Plant Science
    • Year: 2023
Transcriptome Analysis and Genetic Diversity of Allium victorialis Germplasms from the Changbai Mountains
    • Authors: Feng, B., Wang, X., Chen, S., Su, X., Song, S.
    • Journal: Mitochondrial DNA Part B: Resources
    • Year: 2021
Characterization of the Complete Chloroplast Genome of the Solanum tuberosum L. cv. Shepody (Solanaceae)
    • Authors: Chen, S., Zhao, Y., Zhang, J.-Y., Zhao, C.-B., Han, Y.Z.
    • Journal: Mitochondrial DNA Part B: Resources
    • Year: 2021