Ph.D. in Electrical Engineering, U.S. Naval Postgraduate School, California. B.S. in Electrical Engineering, Military Technical College, May 1971. M.S. in Electrical Engineering - Communications Engineering, Faculty of Engineering, Cairo University, 1980. M.S. in Applied Mathematics, California, 1987. Ph.D. in Electrical Engineering, California, 1987.
Dr. Abdel Aziz Al-Bassiouni is a Professor and Researcher specializing in Communications Engineering, Applied Mathematics, and Machine Learning. With over 40 years of experience in the field. He earned his Master's and Doctorate degrees at the Naval Postgraduate School, Monterey, California, USA, as well as a BSc degree at the Military Technical College and an MSc degree at the Faculty of Engineering, Cairo University. He has worked for a number of leading global institutions, such as Lucent Technologies, USA and ZTE, China. His research has focused on digital signal processing, wireless network performance, and artificial intelligence applications in pattern recognition. His research has been published in prestigious scientific journals, reflecting his significant contributions to the scientific and practical development of this field. Bachelor of Engineering Electrical Engineering - Military Technical College - May 1971, and. MSc degree in Electrical Engineering- Communications Engineering at the Faculty of Engineering - Cairo University 1980, MSc in Applied Mathematics, and. PhD in Electrical Engineering - California 1987.
Artificial intelligence (AI) in medicine is one of the most dynamically developing technological areas, offering enormous opportunities and at the same time presenting complex challenges.
Providing scientific consultations in the fields of communications engineering, mathematical modeling, and machine learning.
Delivering specialized lectures to students or researchers on topics such as digital signal processing, wireless networks, and artificial intelligence applications in engineering.
Organizing practical training workshops on the latest technologies in the fields of communications and mathematical modeling.
Academic supervision of master's and doctoral research and theses, and providing full academic support to researchers.
Optimum Signal Processing in Distributed Sensor Systems, by Al-Bassiouni, Abdel-Aziz Mahmoud, Submitted in partial fulfillment of the requirements for
Read moreMuhammad Ismail Muhammad, Abdel Aziz M. Al-Bassiouni, and Salwa H. El Ramly, “Exact Analysis of PCC-OFDM Subjected to Carrier Frequency Offset over Na
Read moreHamed Al-Shennawy, Emad K. Al-Hussaini, Abdel Aziz M. Al-Bassiouni, Hibatullah M. Mourad, “Composite Macroscopic and Microscopic Diversity of Sector
Read moreAbdel Aziz M. Al-Bassiouni, Weihua Zhuang, “An Eigenvalue Based Carrier Frequency Offset Estimator for OFDM Systems”. https://1drv.ms/b/c/602d30f1ea
Read moreA novel three-dimensional distribution traffic is proposed for low Earth orbit (LEO) satellite systems. The effect of the traffic geographical nonunif
Read moreEmam, Emad K. Al-Hussaini. “Performance of low Earth orbit satellite systems with coding”, GLOBECOM 2001: 2784-2788. To see full article copy the lin
Read moreتعتبر الأقمار الصناعية أهم وسائل التحول الرقمي وحل المشاكل التي تواجه العالم ومنها مشكلة توفير المواد الغذائية والاكتفاء الذاتي منها، وتشير الإحصاءات إلى أن عدد سكان العالم سيصل إلى 9.1 مليار نسمة بحلول عام 2050، مما يولد ضغطا على الحكومات لتحسين كفاءة إدارة الموارد الزراعية، وبالتالي زيادة الإنتاج الزراعي.
Read Publicationإنترنت الأشياء تماثل الجهاز العصبي ، الذي يقوم باستشعار العالم عن طريق جمع ونقل البيانات، عبر المليارات من الأجهزة المتصلة في جميع أنحاء العالم، والذكاء الاصطناعي مثل العقل، الذي يقوم بتحليل كل تلك البيانات، واستخدامها للتفكير واتخاذ القرارات، أما سلاسل كتل البيانات (البلوك تشين) فإنها مثل الذاكرة.
Read PublicationHamed Al-Shennawy, Emad K. Al-Hussaini, Abdel Aziz M. Al-Bassiouni, Hibatullah M. Mourad, “Composite Macroscopic and Microscopic Diversity of Sectorized Microcellular and Microcellular Mobile Radio Systems Employing RAKE Receiver over Nakagami Fading Plus Lognormal Shadowing Channel”
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