Academics

Dr. Neamat El Gayar is a Professor of Computer Science at Cairo University and the Dean of the School of Information Technology at Newgiza University. She brings over two decades of academic and research experience across institutions in Egypt, Germany, Canada, and the UAE.

Dr. El Gayar graduated with honors in Computer Science from the Faculty of Engineering, Alexandria University in 1989, and went on to earn her Ph.D. at the Institute for Neural Information Processing, Ulm University, Germany, with the support of a prestigious DAAD scholarship.

She previously led the Data Mining and Machine Learning Group at the Centre of Informatics Sciences, Nile University, Egypt, and has held positions at Concordia University and the Centre for Pattern Recognition and Machine Intelligence (CENPARMI) in Canada. Her leadership extends to the international AI community, where she served as Chair of the IAPR Technical Committee on Neural Networks and Computational Intelligence, organized major workshops, and acted as a reviewer for leading journals, conferences, and funding agencies, including Canada’s NSERC Discovery Grant program.

Before joining Newgiza University, Dr. El Gayar was based at Heriot-Watt University in Dubai, School of Mathematical and Computer Sciences, where she served as Global Director of the MSc in Artificial Intelligence, Associate Director of Research, Senior Course Leader, and Academic Board member of the Global Research Institute in Health and Care Technologies.

Dr El Gayar’s research expertise lies in Machine Learning and Computational Intelligence, with a strong focus on applying AI to real-world challenges. She is also an active advocate for responsible AI, ethics, and sustainability, and plays a key role in advancing diversity in tech—most notably through ongoing mentorship of women in AI and data science.

She has co-authored numerous influential publications and edited books in AI and pattern recognition, contributing significantly to the advancement of the field.

Prof. Nashwa Abdelbaki is an IT expert with over 35 years of experience at the national as well as regional and international levels. She joined NGU in September 2024. Her research interest mainly focuses on Cybersecurity, Multimedia networking, and Cloud Computing. Dr. Abdelbaki published over 65 scientific refereed conference and journal papers and book chapters. She has also served as program committee member in several international scientific journals and conferences.

Prior to joining NGU, she was a faculty member at Nile University (NU) from 2008 to 2024.  She was the PhD Program Director of the School of Information Technology and Computer Science (ITCS).  She led the NU MSc Information Security Program since its inception in 2008 to 2021. During the period 2018 to 2020, she was, additionally, the Director of the ITCS Academic Bachelor and Master Programs.

Supported by her German DAAD Scholarship, Dr. Abdelbaki received her Doctor of Engineering (Dr.-Ing.) degree with grade 1.0, in the field of multimedia networking from Faculty of Engineering, Ulm University, Germany. She received her M.Sc. degree from Faculty of Engineering, Ain Shams University in Cairo, and B.Sc. from Faculty of Engineering, Cairo University, Egypt.

Prof. Abdelbaki is an early Internet pioneer, bringing Internet connectivity to Egypt in the late 80s and early 1990s. She helped build Egypt’s national networks both locally and regionally and took technical lead of the Egyptian Universities Network (EUN) and the central registry of the Egyptian Top-Level Domain .EG.

Based on experience gained earlier, her professional experience was extended to the regional and international level to help with deploying and developing the regional networking architecture – something that involved bringing the know-how of networking infrastructure and media connectivity to the local and regional domains of African, Arab and developing areas.

From 1993 to 1999, she led, managed, organized and helped with teaching and educating several of the international IT conferences and networking workshops (e.g., ISOC/INET) that targeted the methodologies and techniques to study, build, manage and maintain national networks. She was one of the four that submitted the first proposal to establish AfriNIC.

Ayman Khalifa, Ph.D., is the program director of the Computer Science Department, School of IT, Newgiza University.

Dr. Khalifa is also a Professor of Biomedical Engineering and Healthcare Information Technology at Helwan University since 2020. He was also the head of the Biomedical Engineering Department at Helwan University from 2016 to 2022 and Chief Information Officer of Helwan University from September 2019 to January 2021.

Dr. Khalifa earned his Ph.D. in Biomedical Engineering from Cairo University in 2007 through a joint supervision program with Johns Hopkins University, Baltimore, USA. He has also completed a Six Sigma Green Belt certification in 2014 and a Mini MBA from RITI (RAMP) in 2012.

With over 24 years of teaching experience since 2000, Dr. Khalifa has published around 50 articles, including 18 peer-reviewed papers, in esteemed journals and conferences. His research spans software engineering, artificial intelligence, software process improvement, and medical image analysis.

In addition to his academic career, Dr. Khalifa has substantial industrial experience. From 2015 to 2021, he was the Director of Software Development at Fivos Health LLC, where he led the development of Cardiovascular Information Systems, Cardiovascular Registries, and Integrated systems with Electronic Medical Records. Before that, he was the Director of Software Development at Myocardial Solutions from 2005 to 2015, where he co-designed and developed tools for analyzing cardiac MRI images. Earlier in his career, from 1998 to 2001, Dr. Khalifa was the software team leader at IBE Health, where he co-developed the first Egyptian PC-based diagnostic ultrasound machine.

Received B.Sc. (2001) and M.Sc. (2005) degrees in biomedical engineering and systems and a B.Sc. degree in mathematics (2003) from Cairo University, Giza, Egypt. He received M.Sc. (2012) and Ph.D. (2013) degrees in computer and information science and engineering from the University of Florida at Gainesville, FL, USA. He is currently an associate professor at the School of Information Technology, New Giza University.  His research interests include algorithms, biomedical signal processing, medical imaging, information security and forensics, machine learning, image processing, computer vision, and applied mathematics. He has over 50 peer-reviewed publications in reputable journals and conferences, and he co-advised more than 25 M.Sc. and Ph.D. students. He received research and development support from EACEA, ITIDA, Flat6Labs, and French Tech Ticket.

Samhaa R. El-Beltagy is a Professor of Computer Science. She received her Ph.D. in Computer Science from the University of Southampton, UK, in 2001, and her Masters and Bachelor’s degrees in Computer Science from the American University in Cairo in 1997 and 1993, respectively. Prior to joining NGU, Prof. El-Beltagy was the Head of Research and Development at Optomatica (a company dedicated to the development of AI solutions to real-life complex problems). She is also a co-founder of AIM Technologies, a start-up operating in the Middle East utilizing NLP technologies and advanced analytics. From 2010 to 2018, Prof. El-Beltagy was a faculty member at Nile University (NU) where she served as the Dean of the School of Communication and Information Technology, the Director of the Center for Informatics Science, the founder and Head of the Text Mining Research Group and the Director of the Informatics, Computer Science and Big Data programs. She has participated and played a pivotal role in a number of national projects and is currently a member of the technical committee of the National Council for AI established by MCIT. She currently has over eighty international refereed publications and has served and continues to serve on the international program committees of numerous international conferences, workshops, and committees including L’Oréal’s committee for Women in Science, Fulbright’s Junior Faculty Development Program selection committee, and Fulbright’s Egyptian Student Program interview committee.  Her research interests include Artificial Intelligence, Natural Language Processing, Text Mining, and  Data Mining. Dr. Samhaa was the founding dean of School of Information Technology , newgiza since 2020.

Dr. Laila H. Afify is an associate Professor at the School of IT, Newgiza University. She received her Ph.D. degree from King Abdullah University of Science and Technology (KAUST), Saudi Arabia in 2016. She received her M.Sc. degree in Wireless Technologies from Nile University in 2011. From 2011 to 2012, she was jointly affiliated with Nile University and the American University in Cairo as a junior scientist. She received her B.Sc. degree in Electrical Engineering from Cairo University, Egypt, in 2009. Prior to joining NGU, she was an Assistant Professor at the School of Engineering and Applied Sciences, Nile University. Her research focuses on the use of stochastic geometry in next-generation, large-scale, wireless networks. Her main research interests include signal processing, stochastic geometry, vehicular networks, and cognitive radio systems.

Dr. Reham Hossam is an assistant professor at the School of Information Technology, Newgiza University. She received her Ph.D. degree from Technical University Berlin (TUB) in 2023. She received her bachelor’s and master’s degrees from the German University in Cairo (GUC) in 2017 and 2019, respectively. Her research interests are computer vision, image processing, digital signal processing and machine learning.

Dr. Shaimaa Doma is a lecturer at the Faculty of IT, Newgiza University. She received her B.Sc. (2016) and M.Sc. (2018) degrees in “Electrical Engineering and Information Technology” from RWTH Aachen University, specializing in communication systems and biomedical technology, respectively. She recently obtained her Doctoral degree (Dr.-Ing.) from RWTH, where she was a research associate at the Institute for Hearing Technology and Acoustics (IHTA). Her work focused on the numerical and perceptual evaluation of personalized spatial audio.

Her research interests include digital signal processing, virtual reality, assistive listening devices, and medical diagnostic technologies.

Prof. Hesham Ali is joining NGU this Fall (2021) as a Visiting Professor at the School of Information Technology, Newgiza  University.  Prof. Ali’s visit to Newgiza university comes after stepping down from his role as Dean of the College of Information Science & Technology at the University of Nebraska Omaha, USA, where he assumed this role for the last 15 years and where he has been working since 1988. During this time Prof. Hesham introduced a multitude of programs and degrees to the school the latest of which was the Master of Science in IT Innovation and the Master of Science in Data Science.   Prof. Hesham is an accomplished scholar, who has co-authored more than 50 refereed journal articles, two books, and more than 150 papers in areas of bioinformatics, mobile computing, wireless sensor networks, and scheduling.  He was also the PI or co-PI for more than 40 grants receiving over $12 million. Dr. Hesham follows a “student-centered, collaborative approach” in teaching and research. His research interests lie primarily in the areas of Wireless Networks and Bioinformatics.

Luc Frachon is a guest lecturer at the School of Information Technology, Newgiza  University.  He is a  PhD Candidate in Deep Learning at Heriot-Watt University (Edinburgh, UK) as well as a Senior Data Scientist and Project Lead at Lyra Analytics. He posses a recognized talent for translating theoretical knowledge into practical solutions, powered by intense curiosity, a passion for learning, and wide-ranging research skills. He’s a former senior manager in Marketing and Sales who transitioned to Machine Learning and Data Science in 2015.

Asmaa Elhadidy, a dedicated teaching assistant with over three years of experience in assisting teachers and students in the field of computer science. Throughout her career, she has focused on ensuring productivity, developing effective strategies, and creating comprehensive lesson plans.

Asmaa holds a B.Sc. in Computer Science Engineering from Al-Azhar University in Cairo, and she recently completed her M.Sc. in Informatics Science from Nile University in 2023. During her academic journey, she has actively assisted numerous students in their projects. In addition to her academic pursuits, she is committed to teaching both undergraduate and postgraduate courses.

Asmaa is particularly passionate about the field of deep learning and computer vision. Her main area of research and thesis revolves around semantic segmentation in real-time robotics, utilizing multiple sensor modalities such as cameras and LiDAR.

Mohammed Nagah Amr is an accomplished electrical engineering scholar and researcher. He holds a B.Sc. in Electrical Engineering from Canadian International College (CIC) – Zayed Campus (2017), where he ranked first in his class. In 2021, he earned an M.Sc. with honors from the Arab Academy of Science and Technology (AAST) and is currently a Ph.D. Candidate at the Military Technical College. Mohammed has extensive teaching experience in Egyptian universities and institutions. He has published numerous papers in prestigious scientific journals and serves as a reviewer for top journals worldwide. Additionally, he has contributed to developing innovative industrial solutions in embedded software. His research interests include machine learning, deep learning, IoT, Embedded Systems, and Indoor positioning. Mohammed is dedicated to advancing knowledge in academia and making impactful contributions to industry.

Dedicated IT teacher assistant with 3 years of teaching experience. Passionate about embedded systems, digital logic design, and software engineering. Currently pursuing a Master’s degree in Computer Engineering at the Arab Academy for Science and Technology.

Eman Elsayed Elghobashy is a dynamic and self-motivated Computer and Control Systems Engineer with a strong academic background and hands-on experience in software and embedded systems development. Graduating with Distinction from Mansoura University (2019–2024), Eman specializes in software engineering and embedded systems, consistently pursuing innovation in challenging environment.

Eman has cultivated diverse technical expertise through internships, diplomas, and academic projects. Eman’ skill set spans programming languages like C, C++ and Python, alongside tools such as Linux, Git, ROS, and debugging utilities.

Notable projects include an autonomous food delivery robot leveraging Robot Operating System (ROS), a dynamic storage allocator, and a POSIX-compliant shell.

Eman seeks to drive innovation in software engineering leveraging her technical proficiency and problem-solving acumen to deliver impactful solutions.

I am a teaching assistant in the School of Information Technology with three years of academic experience. I graduated with honors from MSA University in the field of Mechatronics and am currently pursuing a master’s degree in Mechatronics at the Arab Academy for Science, Technology, and Maritime Transport in Smart Village, with a focus on autonomous robots. My work in IT education allows me to bring an engineering perspective to the curriculum, helping students gain a well-rounded understanding of both theoretical and practical aspects of technology.

Fady Erian Estafanous is an accomplished communication engineer and Teaching Assistant with expertise in Network Security, Python Programming, and Digital Signal Processing. He holds a Bachelor’s degree in Electrical Communication and Electronic System Engineering from October University for Modern Sciences and Arts, in partnership

with the University of Greenwich, where he achieved the 2nd place in his department. His technical skill set includes proficiency in C/C++, Python, embedded systems, and IoT technology.  This is demonstrated in projects such as a Smart Road C Vehicle System aimed at enhancing road safety through advanced sensor technology.

Habiba Yasser Mostafa is a dedicated and professional teaching assistant with a Bachelor’s degree in Information Technology and Computer Science from Nile University. She has hands-on experience in teaching, having supported students in foundational computing courses and contributed to academic instruction in areas like programming, data analysis, and mathematics. Habiba also completed internships in health informatics at 57357 Hospital and Health Insights Company, gaining exposure to medical data systems and AI applications in healthcare. Skilled in C++, Java, Python, Flutter, and web development, she holds multiple certifications in front-end and full-stack development. Her award-winning graduation project on ambulance routing optimization was published at NILES 2024.

Jana is a Biomedical Informatics graduate from the Faculty of Information Technology and Computer Science at Nile University. She received a full scholarship throughout her academic journey.

Jana completed her internship at MARC Company, where she created an automated research tool that helps researchers perform their work faster and more efficiently without coding.

Jana also served as a Junior Teaching Assistant for two years, supporting students in understanding programming concepts. Jana is passionate about teaching, helping students learn and love computer science, and leaving a lasting impact on their educational journey.

Mariam Shalaby, a Computer Engineering graduate from MSA University, is currently pursuing her Master’s at AAST. Her fields of study include Software Engineering and Artificial Intelligence, with a focus on advancing software solutions and innovative engineering practices. As a Teaching Assistant at NGU, Mariam is dedicated to integrating these practices into her field of study.

Malak Essam is a Teaching Assistant at the School of Information Technology, Newgiza University. She holds a Bachelor’s degree in Computer Science and Artificial Intelligence, and has professional experience in data analytics, automation, and financial risk systems. Her work focuses on data-driven solutions, including Anti–Money Laundering analytics and business intelligence reporting.

Before joining NGU, Malak completed internships at Thndr and Dell Technologies, and is currently a Functional Consultant at DataScience Middle East. She is a certified Microsoft Data Analyst (PL-300) and UiPath Automation Developer, with research published in Nature and IEEE Xplore. Her interests include data engineering, cloud analytics, and teaching emerging technologies to students.

Mona E. ElDeghedy is a Teaching Assistant at New Giza University and a Biomedical Informatics graduate from Nile University, Egypt, recognized for academic excellence. Passionate about front-end development and design, she’s currently enhancing her skills in React and UX/UI design through a Software Development Diploma. Mona has experience in coding, data analysis, and business intelligence, and is dedicated to making computing accessible for her students through her web development courses. She values organized, detail-oriented learning environments.”

Mohamed is a dedicated and passionate educator with 3 years of experience as a Teaching Assistant in the field of Artificial Intelligence. With a strong foundation in machine learning, deep learning, and data science. Mohamed has a proven ability to effectively guide and support students in their academic pursuits.

• Junior Machine Learning engineer and researcher who is currently working as a Teaching Assistant at the School of Information Technology at NGU.
• Currently pursuing my Master’s degree at Cairo University.
• Recent research interests include NLP, Enhancing LLMs performance, RAG systems, Vision Transformers, Multimodality models, Math and Optimization Algorithms.
• Led the NGU undergraduate students’ team which collaborated with Nawy real estate company and delivered a POC chatbot that demonstrated potential for enhancing customer services.
• Completed the 9-month program at the Information Technology Institute (ITI), AI track, intake 42.
• Graduated from the Faculty of Engineering Mansoura University with Excellent with honors grade.

Nada Abdellah is a dedicated and experienced teaching assistant with a background in mechatronics engineering. She is currently pursuing her master’s degree at the Arab Academy for Science, Technology & Maritime Transport, focusing on deep reinforcement learning for autonomous systems control. With over two years of experience as a teaching assistant she has contributed to various courses, including reinforcement learning, artificial intelligence, and microcontrollers, while also mentoring numerous graduation projects. She is also actively studying computational neuroscience, expanding her expertise in the intersection of brain research and artificial intelligence. In addition to her academic career, Nada has a strong interest in AI, robotics, autonomous systems, control, and neuroscience.

Nada Hossam Ismail is a motivated and detail-oriented Computer and Control Systems Engineer with a strong passion for mobile application development and a solid foundation in software engineering principles. Graduating with honors from Mansoura University (2019–2024), Nada combines academic excellence with hands-on technical expertise. 

Currently serving as a Teaching Assistant at the School of Information Technology, New Giza University, Nada’s interests span software engineering, mobile development, and emerging technologies, with a focus on creating efficient, user-centered, and impactful digital solutions. 

Her technical skills include proficiency in Java, Python, and Dart, alongside experience with Flutter, Firebase, Git, RESTful APIs, and Agile methodologies. Nada’s practical background includes developing intuitive, high-performance mobile applications and integrating intelligent features to enhance user experiences.

 She is driven by curiosity, continuous learning, and a commitment to innovation in the field of software engineering. 

A dedicated academic with a strong foundation in Computer Science and a passion for Data Science. Holding a Bachelor’s degree in Computer Science from Nile University and currently pursuing a Master’s in Data Science from Cairo University. The research interests lie at the intersection of data science and medical informatics, with a focus on applying advanced Machine Learning and Deep Learning techniques to address complex challenges in healthcare.

Eng. Nourhan Khalaf is a teaching assistant at the School of Information Technology, Newgiza University. She graduated with honors from the Arab Academy for Science, Technology, and Maritime Transport with bachelor’s degree in Computer Engineering, and is currently pursuing her M.Sc. in Computer Science.

Her teaching history includes working at the Arab Academy for Science, Technology, and Maritime Transport (AAST), and October University for Modern Sciences and Arts (MSA).

Her main area of interest involves Artificial Intelligence, Computer Security, and Natural Language Processing.

I’m Sara Fakhry, A Biomedical informatics graduate. I hold a Bachelor of Science degree in Biomedical Informatics from the school of Information Technology and Computer Science from Nile University, where I graduated in 2024 with Honors with a CGPA of 3.59. During my time at Nile University, Sara served as a Junior Teaching Assistant for an advanced programming course She led several successful projects, including the first place winning in “Ambulance Routing Optimization” (ARO) for CT-ready hospitals, a mobile and web-based system that efficiently routes ambulances to the nearest available CT-ready hospitals in Giza, using real-time data and machine learning, for which I received an A+. I gained some experience through internships at Health Insights Company and 57357 Hospital, focusing on health informatics and data visualization. Additionally, she has participated in the High-Throughput Sequencing and Bioinformatics Analysis Workshop at Zewail City. Also, I have strong communication skills developed through my involvement in the Public Relations and Logistics committee of The INSIDER NU club for 3 years.

Shahd Ehab is a dynamic teaching assistant at New Giza University’s School of Information Technology, where she teaches a range of essential courses including Precalculus, Probability and Statistics, Calculus II, Robotics, Digital Logic, Ethics and Security, and Linear Algebra. Known for her dedication to bridging theory with practice, Shahd enriches her students’ academic journey by integrating hands-on applications with fundamental concepts, preparing them to excel in both advanced studies and real-world challenges.

Currently pursuing a master’s degree focused on multi-agent robotics, Shahd’s research explores the intricacies of robotic collaboration and autonomous systems, positioning her at the forefront of innovation in intelligent robotics. Her academic journey began with a Bachelor’s degree from the University of Modern Sciences and Arts (MSA), where she honed her technical skills across various programming languages, data acquisition systems, and engineering software, including MATLAB and LabVIEW. This technical proficiency is complemented by her involvement in numerous engineering projects and student competitions, which underscore her commitment to applied, project-based learning.

Shahd’s approach to teaching is deeply rooted in her belief in the transformative power of technology. As a mentor, she strives to ignite her students’ curiosity and inspire their problem-solving skills, ensuring they are not only well-versed in academic theory but also equipped with practical, in-demand skills. Through her work at NGU, Shahd continues to contribute to a learning environment that encourages innovation, critical thinking, and a passion for the future of technology and robotics.

I am Yasmin Abdelfattah. I graduated with honors in Biomedical Informatics from Nile University, where my graduation project focused on developing AI models for predicting Neoadjuvant Chemotherapy Treatment Responses in Breast Cancer Patients, earning third place. I’ve interned at Zewail City, working on artificial intelligence projects, and at Baheya Foundation, where I contributed to research on machine learning models for cancer treatment predictions. Additionally, I completed a Machine Learning Scientist course on DataCamp and was part of NUMUN’s social media team.

Yahya Hassan Mohamed is a Teaching Assistant at the School of Information Technology,
NewGiza University, and a Full-Stack Web Developer specializing in the MERN stack. He
combines a strong foundation in computer science with practical expertise in modern web
technologies, bridging theoretical understanding with real-world application.

• B.Sc. in Artificial Intelligence, Mansoura University
• M.Sc. in Computer Science (in progress), Mansoura University
• Professional Training, Information Technology Institute (ITI) – specialized in full-stack
engineering using MERN and related frameworks

His core interests include API design, secure authentication, and scalable microservice
architectures. In his teaching role, Yahya contributes to courses in programming, web
development, and artificial intelligence, emphasizing both conceptual clarity and hands-on
learning. He is passionate about open-source collaboration, ethical software design, and
mentoring students to create impactful, sustainable technology solutions.

My name is Zeina Salah Abdelhamid, a Biomedical Informatics graduate from Nile University with a GPA of 3.93. My graduation project focused on developing an AI application for detecting and predicting breast implant complications using mammography. Alongside my interest in medical imaging, I’m passionate about data science, artificial intelligence, and their applications in healthcare innovation. I also trained at Baheya Hospital for Breast Cancer, where I gained practical experience in diagnostic imaging and the use of AI in clinical workflows.