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Prof. Ali H. El-Bastawissy is the dean of the Faculty of Computer Science at MSA University. Ali El-Bastawissy is a professor of information systems at Cairo University.

He published more than 60 articles and studies in Data Modeling and engineering, Data Integration, Business Intelligence, and e-government.

He has 40+ years of experience in designing and implementing business solutions and for dozens of Middle East Ministries and Governmental Associations to accelerate decision-making and to improve corporate performance.

 

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Ammar Mohammed is a professor of Artificial Intelligence.

He received his Ph.D. in Computer Science from the University of Koblenz-landau, Germany, and his  M.Sc and B.Sc. in Computer Science, from Cairo University.

He worked as a researcher and research fellow at the Artificial Intelligence research group, Department of Computer Science, University of Koblenz-landau.

He leads the machine/deep learning research group and is a PC  member and joining the reviewing board of several international journals and conferences.

 

PhD degree in Computer Science fromCairo University. His master and PhD were on natural language processing. He is a highlyaccomplished and dedicated Computer Science Doctor with a profound passion for machinelearning,computer vision,natural languageprocessing(NLP),and Bioinformatics.

Asaresearcher, He publishednumerous researchpapersinrenownedconferencesandjournals, showcasing their expertise and innovative contributions to the field. Ahmed's researchwork focuses on leveraging machine learning techniques to develop novel solutions and modelsthatenhancecomputervision systems,NLPapplicationsand bioinformatics problems.

With a strong background in computer science, He possesses comprehensive knowledge ofvariousprogramminglanguages,datastructures,andalgorithms.He alsogainedhands-onexperience in implementing and optimizing machine learning algorithms, developing computervision systems, and designing NLP and Bioinformatics models. His proficiency in coding andsoftware development enables him to bridge the gap between theoretical concepts and practicalimplementation.

He hasa solidunderstandingof deeplearningarchitectures,convolutionalneuralnetworks(CNNs), recurrent neural networks (RNNs), and transformer models, which enable him to tacklecomplexproblemsin differentdomains(Computervision, NLPandBioinformatics).

 

 

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Ahmed Mostafa is a dedicated researcher and software engineer with a strong academic foundation from Modern Sciences and Arts (MSA) University.

 

His expertise spans machine learning, deep learning, and embedded systems, with significant contributions to medical diagnostics research and multiple scholarly publications.

 

As a Lecturer Assistant and key member of the Examination Unit at MSA, Ahmed has excelled in instructional roles and upheld the highest standards of academic integrity.

 

Dr. El-Shamy is a lecturer at the Faculty of Computer Science, October University for Modern Sciences and Arts (MSA). He teaches courses in computer networks, programming, information systems, and information technology. He also guides students through their graduation projects.

Dr. El-Shamy holds a Ph.D. in Computer Science and Engineering with a specialization in Distributed Systems and Networks. His doctoral thesis focused on improving resource management in cloud computing data centers using software-defined networking. He also has a Master's degree in Computer Science and Engineering and a Bachelor's degree in Communication and Electronics.

In addition to teaching, Dr. El-Shamy is actively involved in the academic community. He serves as a reviewer for prestigious scientific journals in various fields related to computer science and engineering.

Dr. El-Shamy has also participated in various training programs to enhance his teaching and research skills.

 

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Ali Hamdi received his PhD from RMIT University, Australia, in 2022, where his research focused on computer vision, graph neural networks, and uncertainty modelling.

He obtained his Master's in Computing from the University of Technology, Malaysia, in 2017, with a focus on NLP and text mining. With over 15 years of experience as a data scientist and researcher, Ali has a robust background in teaching and developing software across various domains, including programming, cloud computing, AI, machine learning, deep learning, and data science.

He has authored more than 20 research papers onvisual recognition, language understanding and generation models, drone-based object trackingand route optimisation, few-shot learning, and spatiotemporal data mining, making significant contributions to computer vision, NLPand deep learning.

 

 

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Ayman Atia is Associate professor at the Faculty of Computer Science, MSA and Helwan University, received his Ph.D. from the University of Tsukuba, Japan in 2011.

He is Co-Founder of HCI-LAB, and head of the interaction group. His work includes finding new interaction techniques for large display and finding abnormal behaviour for driving vehicles, theft detection, sports activities.

His research interests cover the wide spectrum of Human-Computer Interaction including Gestures and natural interfaces, Wearable Sensors, Augmented Reality and Brain-Computer Interaction.

Despite the education and research challenges that face countries like Egypt, he was a recipient of governmental-fund and awards on several occasions.

 

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Associate Professor In Information Technology

 

 

 

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Dr. Marwa Solayman has more than Has more than 22 years' experience of technology development and implementation, including visioning, development, delivery and opening business opportunities in a diversity of businesses along with implementing fully functional products according to the latest methodologies and best practices, as well as setting up multiple cross functioning departments. Specialized in strategic performance measurement, software engineering and business intelligence

 

• Successful implementations of more than 55 projects of different areas and functions as well as more than 5 products in different industries
• Extensive experience and knowledge in several topics and areas, including operations management, Software Development and Implementation, Quality Management.
• Managed different types of projects in different industries; eHealth, E-Services, digital transformation, E-Gov, Portals, Mobile Applications, Business Intelligence, E-payment, e-Commerce, Applications development, establishing and implementing PMOs, organizational transformation, and others
• Highly skilled in processes re-engineering, performance measurement setting monitoring and optimization, strategic objectives and directions setting, quality control and quality assurance rules, activities and processes, overall organization procedures and policies.

 

 

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Mohamed Labib is a Computer Science lecturer at MSA University. He joined to MSA family since 2008 as a Teaching Assistant.

 

He has a MSc and PhD in Computer Science from Helwan University - faculty of computer science and Artificial Intelligence.

 

His research interests include Wireless Sensor Networks, IoT, and Artificial intelligence.

 

He is an expert in programming languages, software engineering, and artificial intelligence. and has been teaching for over 15 years.

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Dr. Muhammad Hosam Aboelfotoh is a Lecturer in the Faculty of Computer Science at MSA University.

 

He received his PhD and MSc in Computing from Queen's University of Kingston, Canada, and his BEng in Computer Engineering from Kuwait University.

 

His interests include healthcare information systems, ubiquitous computing, and security testing.

 

 

 

 

 

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"Ph.D. in Applied Artificial Intelligence complex engineering system prognostics.

 

25 years of combined practical and academic experience in the software and engineering industries.

 

Providing supervision and mentorship to undergraduate and graduate students on their graduation projects, as well as MSc and Ph.D. research, fostering academic excellence and innovation.

 

Spent the last 15 years pioneering AI and Data Science (AI&DS) applications in the space and aviation domains @ Space Technology Center (STC).

 

AI & DS trainer at the Information Technology Institute (ITI) under the Ministry of Communications and Information Technology (MCIT), where I teach Applied Mathematics for AI&DS, Machine Learning, Deep Learning, and Big Data Analytics using PySpark. Member of Ecosys+ and the Academy of Scientific Research and Technology (ASRT), in collaboration with the European Union, supporting startups and small to medium-sized organizations. My expertise lies in guiding organizations through AI & DS transformation, from development and execution of AI strategies to team selection and training."

 

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"I graduated from MSA university class 2018 and had my master degree from Greenwich university class 2022. "

 

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{Mai Hassan} finalized her Ph.D. degree at the Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada in 2024.

 

She received her BS.c. and MS.c. degrees in electronics and communications engineering from the American University in Cairo in 2008 and 2013 with highest honors with minors in Computer Science and Math.

 

She has about 10 years of experience in international companies such as Intel Labs, Huawei Technologies and Nokia Solutions and Networks. Her research interests include the use of machine learning, Deep learning and AI in the applications of Network control systems, Radio access networks and Mobile radio networks (5G and beyond).

 

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Lecturer Assistant at MSA University

 

 

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"Assistant lecturer in Computer Sciences, MSA University "