Dr. Mohamed Elhamahmy | AI – Machine Learning | Best Researcher Award

Dr. Mohamed Elhamahmy | AI – Machine Learning | Best Researcher Award

Dr. Mohamed Elhamahmy, National Telecommunications Regulatory Authority, Egypt,

Dr. Mohamed Ezzat Elhamahmy is a Senior Expert in Cybersecurity at the National Telecommunications Regulatory Authority in Cairo and serves on the advisory board at the College of Computers and Information Technology, Arab Academy for Science, Technology and Maritime Transport. He holds a Bachelor’s in Electrical Engineering from the Military Technical College, a Masterโ€™s in Systems and Computer Engineering from Al-Azhar University, a Ph.D. in Information Technology from Cairo University, and a Professional Masterโ€™s in Political Studies and Security. Dr. Elhamahmy has extensive experience in IT and cybersecurity, having managed the Information Systems Department of the Armed Forces and established a dedicated cybersecurity unit. His expertise includes incident handling, network security, and strategic planning, supported by certifications such as CEH and CISSP. His notable contributions include advancing cybersecurity practices and education in the region.

Professional Profile๐ŸŒ

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Scopus

Educational Background ๐ŸŽ“

Dr. Mohamed Ezzat Elhamahmy graduated from the Military Technical College in 1989 with a Bachelor’s degree in Electrical Engineering. He earned a Masterโ€™s degree in Systems and Computer Engineering from Al-Azhar University in 2001, a Ph.D. in Information Technology from Cairo University in 2011, and a Professional Masterโ€™s degree in Political Studies and Security from the Faculty of Economics and Political Science.

Professional Experience ๐Ÿ’ผ

Dr. Elhamahmy has an extensive career in information technology and cybersecurity. From 1990 to 2015, he worked with the Information Systems Department of the Armed Forces, holding roles such as Systems Manager, Network Manager, and IT Manager. He specialized in cybersecurity from 2009 to 2014 and established a dedicated cybersecurity unit in 2015. He led the unit until 2019, overseeing its development, training programs, and strategic planning.

Current Roles ๐Ÿข

Since 2019, Dr. Elhamahmy has been serving as a Senior Expert in Cybersecurity at the National Telecommunications Regulatory Authority, Cairo. He is also a member of the advisory board at the College of Computers and Information Technology, Arab Academy for Science, Technology and Maritime Transport, where he lectures and supervises academic programs.

Skills and Expertise ๐Ÿ› ๏ธ

Dr. Elhamahmy is skilled in incident handling, research and development in network security, and strategic cybersecurity planning. His expertise includes advanced knowledge of various technologies and applications, with strong communication, problem-solving, and leadership abilities.

Certifications and Training ๐Ÿ…

He has obtained numerous certifications, including Certified Ethical Hacker (CEH), Certified Information Systems Security Professional (CISSP), and CCNA. He has also completed specialized training in Oracle, Microsoft Windows Server, and various cybersecurity tools.

Contributions and Achievements ๐ŸŒŸ

Dr. Elhamahmy is known for his significant contributions to cybersecurity, including establishing successful cybersecurity units and leading strategic initiatives. His work has greatly impacted the development of cybersecurity practices and education in the region.

Publication Top Notes:

  • Improving Intrusion Detection Using LSTM-RNN to Protect Dronesโ€™ Networks
    • Year: 2024
  • Internet of Drones Intrusion Detection Using Deep Learning
    • Year: 2021
  • A Real-Time Firewall Policy Rule Set Anomaly-Free Mechanism
    • Year: 2019
  • A Proposed Approach for Management of Multiple Firewalls Using REST API Architecture
    • Year: 2019
  • Towards a Practical Real-Time Applications of Face Verification
    • Year: 2019

 

 

 

 

Assoc Prof Dr. Wenbo Zhu | Automatic machine learning | Best Researcher Award

Assoc Prof Dr. Wenbo Zhu | Automatic machine learning | Best Researcher Award

Assoc Prof Dr. Wenbo Zhu, Foshan University, China

๐Ÿ‘จโ€๐ŸŽ“ Dr. Wenbo Zhu, PhD, serves as the Associate Dean and Associate Professor in the School of Mechatronical Engineering and Automation at Foshan University. ๐Ÿซ With 8 years of experience, Dr. Zhu obtained his Master’s and Ph.D. degrees in Pattern Recognition and Intelligent Systems from prestigious institutions. ๐ŸŽ“ His expertise spans image processing, pattern recognition, and artificial intelligence applications, evident through his leadership in national and provincial research projects. ๐ŸŒ Actively engaged in academic and professional organizations, Dr. Zhu holds key positions in associations like the Foshan Artificial Intelligence Society and the Guangdong Computer Society Foshan Branch. ๐Ÿ”ฌ His prolific research output includes numerous publications in esteemed journals, patents, and software copyrights, reflecting his commitment to advancing artificial intelligence. ๐Ÿ“ˆ Dr. Zhu’s contributions extend beyond academia, as he collaborates with industry leaders and governmental bodies, playing a vital role in shaping the future of AI technology. ๐ŸŒŸ

Professional Profile:

Scopus

Orcid

๐Ÿ“š Education:

Dr. Wenbo Zhu obtained his Master’s and Ph.D. degrees in Pattern Recognition and Intelligent Systems from Harbin Engineering University and South China University of Technology, respectively.

๐Ÿ“… Experience:

With over 8 years of experience, he serves as a Master’s supervisor and actively contributes to academic and professional organizations, including the Foshan Artificial Intelligence Society and the Guangdong Computer Society Foshan Branch.

๐Ÿ” Research Focus:

Dr. Zhu specializes in image processing, pattern recognition, and artificial intelligence applications, leading numerous national and provincial research projects. His work includes innovative contributions to panoramic vision systems and medical imaging.

๐Ÿ… Achievements:

He has published extensively in esteemed journals, showcasing his dedication to advancing research in artificial intelligence.

๐Ÿ’ก Contributions:

As President of the Foshan Artificial Intelligence Society and a member of various national committees, Dr. Zhu collaborates with top universities and industry leaders, contributing significantly to AI development through papers, patents, and software copyrights.

Scopus Metrics:

  • ๐Ÿ“ย Publications: 58 documents indexed in Scopus.
  • ๐Ÿ“Šย Citations: A total of 311 citations for his publications, reflecting the widespread impact and recognition of Dr. Wenbo Zhu’s research within the academic community.

Publication Top Notes:

  1. Waterproof Triboelectric Nanogenerators Based on Ag Nanoparticle/Chitosan Composites for Transmitting Morse Code
    • Published in ACS Applied Nano Materials in 2023.
    • 2 citations.
  2. High-performance triboelectric nanogenerator based on ZrB2/polydimethylsiloxane for metal corrosion protection
    • Published in International Journal of Minerals, Metallurgy and Materials in 2023.
    • 1 citation.
  3. RFCT: Multimodal Sensing Enhances Grasping State Detection for Weak-Stiffness Targets
    • Published in Mathematics in 2023.
  4. Critical electric field stabilizing structure of Al2O3/TiO2/Al2O3 thin film for achieving high energy density
    • Published in Ceramics International in 2023.
    • 3 citations.
  5. Forecasting by Combining Chaotic PSO and Automated LSSVR
    • Published in Technologies in 2023.
    • 1 citation.