Ahmed Farouk Al-Sadek
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).
Dr. Ahmed Mohamed El-Shamy
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.
Dr. Ali Hamdi
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.
Dr. Maha Hatem Mohamed Abdelmohsen
Office: D217, Email:This email address is being protected from spambots. You need JavaScript enabled to view it.,
Dr. Marwa M. Solayman
Office: D13, Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
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.
Dr. Mohamed Labib
Office: D213, Email:This email address is being protected from spambots. You need JavaScript enabled to view it.,
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.
Dr. Muhammad Hosam Aboelfotoh
Office: H415, Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
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.
