Samer I. Mohamed

Work place: October University for Modern Sciences and Arts (MSA)



Research Interests:


Dr. Samer Ibrahim was born in Gharbia, in 1976. He received the B.Sc. degree in computer engineering from the Ain Shams University, Egypt, in 1998, and the M.Sc. and Ph.D. degrees in Computer and system engineering from the computer and systems department, Ain Shams University, Egypt 2005 and 2009, respectively. He obtained his fellowship from Higher Education academy (HEA), UK in 2017. He is currently an Associate professor in MSA. Through his journey, Dr. Samer has many publications, patents researches, and books in international conferences and journals. Dr. Samer is a reviewer for many reputable journals and conference world-wide. He is an associate editor in an international journal of computer science and engineering.  He has different roles through this journey not only on the academic level but on the industrial level as well.

Dr. Samer has 20+ years of IT industrial experience in many international organizations as consultant and executive manager. Being a PMP certified for 12+ and ITIL certified improved his academic, industrial, and practical experience in leading and managing critical industrial projects in different technical domains. Dr. Samer traveled several times to foreign countries which offered better understanding of many cultures from east and west, enhanced his ability to get along with different nationalities and ethnic backgrounds. Through this industrial journey, he led many critical and biggest transformation projects/programs that affected the IT industry worldwide in multinational organization like Hewlett Packard with huge record of success stories/records.

Author Articles
IoT Bus Navigation System with Optimized Routing using Machine Learning

By Samer I. Mohamed Muhamed Abdelhadi

DOI:, Pub. Date: 8 Jun. 2021

As the population in Egypt is ever expanding, it is reflected in the increase of the number of vehicles on the road. Public transportation is the solution and the number of available buses can cover a significant amount of the population demand. However, the outdated state of the transportation infrastructure, the static nature of the lines and indistinct schedules create a confounding and unappealing user experience which prompts the users to stray to cars for their needs. So, an Intelligent Urban Transportation System (IUTS) is a must. IUTS is a multi-layered system which provides the solution for most of these problems. It operates on different layers starting from a real time vehicle tracking for transparent and efficient management of assets, cash-less ticketing done through RFID cards, vehicle health and diagnostic data for creation of automated maintenance schedules and a friendly interactive driver interface. In this paper an approach based on combining all these technologies is discussed where the hardware component is implemented based on System-on-Chip technology with custom hardware to interface with the vehicle. The data collected from the on-board unit is sent to the cloud, and with the help of machine learning algorithms the dynamic responsiveness of the system is guaranteed. The proposed system outperforms other existing ones through the dynamic and optimized routing feature for the bus navigation to optimize the operating cost but still satisfy the passengers' demand.

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