Recognition in Drone Communication Award - ScienceFather https://networking-events.sciencefather.com Fri, 12 Jul 2024 10:31:51 +0000 en-GB hourly 1 https://wordpress.org/?v=6.7.1 https://networking-events.sciencefather.com/wp-content/uploads/2022/06/Picture5.png Recognition in Drone Communication Award - ScienceFather https://networking-events.sciencefather.com 32 32 Prof Dr. Hesham Elmahdy | Drones Communication | Best Scholar Award https://networking-events.sciencefather.com/hesham-elmahdy-drones-communication-best-scholar-award-2934/?utm_source=rss&utm_medium=rss&utm_campaign=hesham-elmahdy-drones-communication-best-scholar-award-2934 Fri, 12 Jul 2024 10:31:51 +0000 https://networking-events.sciencefather.com/?p=18754 Prof Dr. Hesham Elmahdy | Drones Communication | Best Scholar Award Prof Dr. Hesham Elmahdy, Faculty of Computers and Information Cairo University, Egypt Dr. Hesham Elmahdy is a distinguished computer scientist renowned for his academic achievements and leadership at Cairo

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Prof Dr. Hesham Elmahdy | Drones Communication | Best Scholar Award
Prof Dr. Hesham Elmahdy, Faculty of Computers and Information Cairo University, Egypt

Dr. Hesham Elmahdy is a distinguished computer scientist renowned for his academic achievements and leadership at Cairo University’s Faculty of Computers and Artificial Intelligence (FCAI) in Giza, Egypt. He holds a Ph.D. and an M.Sc. in Computer Science from the University of Mississippi, USA, with a focus on multimedia transmission and knowledge representation systems for Islamic jurisprudence. Dr. Elmahdy’s career includes significant roles such as Professor Emeritus, Professor and Chair of the Information Technology Department, and Ex-Vice Dean of Society Service and Community Development at FCAI. His expertise in IT, coupled with his commitment to education and community development, has been pivotal in advancing research initiatives and shaping educational programs in Egypt.

Professional Profile:

Orcid
Scopus

🎓 Education:

Dr. Hesham Elmahdy is a distinguished computer scientist with a robust academic foundation, holding a Ph.D. and an M.Sc. in Computer Science from the University of Mississippi, USA, where he focused on virtual entities for multimedia transmission across networks. Additionally, he earned an M.Sc. from Cairo University, Egypt, with a thesis on knowledge base systems for Islamic jurisprudence and Arabic natural language queries. Dr. Elmahdy’s extensive research and expertise in multimedia transmission and knowledge representation reflect his commitment to advancing the field of computer science.

🛠 Training:

Dr. Hesham Elmahdy is a distinguished professional with extensive training in advanced technology and logistics. He has completed intensive courses in Cloud Infrastructure Services and Big Data Analytics at the EMC2 Excellency Center, and an Oracle course at the Giza Systems Education Center. His training also includes an Advanced Logistics Course at the University of Pennsylvania and various Apple Macintosh courses. Dr. Elmahdy’s diverse skill set underscores his expertise in cutting-edge technology and logistics, making him a valuable asset in the fields of IT and data analytics.

👨‍🏫 Current Position:

Dr. Hesham Elmahdy is a distinguished academic known for his significant contributions to information technology and community development at Cairo University’s Faculty of Computers and Artificial Intelligence (FCAI) in Giza, Egypt. With a career spanning several leadership roles, including Professor Emeritus, Professor and Chair of the Information Technology Department, and Ex-Vice Dean of Society Service and Community Development, Dr. Elmahdy has been instrumental in shaping educational programs and fostering research initiatives. His expertise and dedication have made a lasting impact on the university and the field of information technology in Egypt.

Publication Top Note:

  • Title: Enhanced Arnold’s Cat Map-AES Encryption Technique for Medical Images
    • Year: 2020
    • Citations: 13
  • Title: A Survey on Human Detection Surveillance Systems for Raspberry Pi
    • Year: 2019
    • Citations: 34
  • Title: Recognition of Heart Murmur Based on Machine Learning and Visual-Based Analysis of Phonocardiography
    • Year: 2019
    • Citations: 3
  • Title: Human Ear Recognition Using SIFT Features
    • Year: 2016
    • Citations: 13
  • Title: PMAS: A Proposed Mutual Authentication Scheme for Wireless Body Area Networks
    • Year: 2015
    • Citations: 5

 

 

 

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