
Ahmed Ismail EbadaEU Business School
Ahmed Ismail Ebada
Ph.D. in Computer Information Systems
About
24
Publications
63,624
Reads
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173
Citations
Citations since 2017
Introduction
Ebada is a professor, researcher, Technical project manager and CTO Co-founder based in Munich, Germany. He has been working in the industrial research area. His research includes IoT, edge, wearables, biosensors, AI, speech recognition, cloud computing, big data analysis, robotics, and Entrepreneurship. He has served as an Associate Editor and peer reviewer for IEEE, Elsevier, and Springer Nature. His motto is, science is a way to improve people's lives, neither a tool for philosophy nor fame.
Additional affiliations
Education
July 2016 - July 2020
October 2014 - June 2015
October 2012 - April 2016
Publications
Publications (24)
Nowadays, designing and developing wearable devices that could detect many types of diseases has become inevitable for E-health field. The decision-making of those wearable devices is done by various levels of analysis of enormous databases of human health records. Systems that demand a huge number of input data to decide to require real-time data...
Increasing demand and costs for healthcare is a challenge because of the high populations and the difficulty to cover all patients by the available doctors. The healthcare data processing and management became a challenge because the problems with the data itself like irregularity high-dimensionality, and sparsity. A number of researchers worked on...
Landmines are dangerous military equipment's that threat people’s lives and cause economic problems. They are harmful because of their unknown locations and difficulty to detect. Detecting and clearing mines demand special expertise. In this paper, we present a low-cost system for landmines detection. We describe the strategy that can help to detec...
The accuracy of fingerprint recognition model is extremely important due to its usage in forensic and security fields. Any fingerprint recognition system has particular network architecture whereas many other networks achieve higher accuracy. To solve this problem in a unified model, this paper proposes a model that can automatically specify itself...
The ability of any steganography system to correctly retrieve the secret message is the primary criterion for measuring its efficiency. Recently, researchers have tried to generate a new natural image driven from only the secret message bits rather than using a cover to embed the secret message within it; this is called the stego image. This paper...
In computer security, the number of malware threats is increasing and causing damage to systems for individuals or organizations, necessitating a new detection technique capable of detecting a new variant of malware more efficiently than traditional anti-malware methods. Traditional anti-malware software cannot detect new malware variants, and conv...
Currently, relational database management systems (RDBMSs) face different challenges in application development due to themassive growth of unstructured and semi-structured data. This introduced new DBMS categories, known as not only structured query language (NoSQL) DBMSs, which do not adhere to the relationalmodel. Themigration from relational da...
The new pandemic Coronavirus (COVID-19) has expanded its impact from China to the whole world to make a sudden change in every field of our daily life. The high number of infected people who need to be served or monitored by available healthcare resources is a challenge. Healthcare providers such as nurses, doctors, and other healthcare providers p...
Big data applications in healthcare have provided a variety of solutions to reduce costs, errors, and waste. This work aims to develop a real-time system based on big medical data processing in the cloud for the prediction of health issues. In the proposed scalable system, medical parameters are sent to Apache Spark to extract attributes from data...
Internet of Things (IoT) provided many solutions in the healthcare area. IoT opened many new fields to use tools and technologies that can help users remotely. Many researchers used machine learning algorithms, artificial intelligence, and data science to get the power of the streaming healthcare data. Nowadays, using 5G network applications may he...
This paper presents a solution for the Visually Impaired (VI) based on wearable devices. VI people need support or a guide to support them to locomote from one place to another. Using Wearables help users to achieve a great understanding of the surrounding environment. The proposed system is based on wearable smart glasses to support VI to locomote...
This research paper presents an advanced solution for interactive education systems based on new technologies for smart cities. Background/Objectives: The new coronavirus COVID 19 made an impact on most of the daily activities in the whole world. Normal daily activities such as going to school or university became a challenge for many pupils and st...
The healthcare big data including medical history, Physician reports, prescription, parents and family historical diseases, laboratories, and scan reports can help in disease detection and prediction process. The article presents an overview of the recent technologies and methods in the medical area to get the benefits of cloud systems, data scienc...
There is a big demand for healthcare services to monitor health issues and
help people to detect diseases without a need for visiting a doctor every single
day. A pandemic issue such as Corona Co-vid 19 pushed millions of people to
visit healthcare providers to check up if they are infected or not. So a wearable
device with multi health sensors wit...
The healthcare data can be employed to develop a health prediction system that can improve in heart disease prevention. Big data on health care, including patient records, clinical notes, diagnosis, parents and family past ailments, hospitals, and scan results can aid in the phase of disease identification and prediction. The emerging machine learn...
This paper presents an effective solution based on speech recognition to provide elderly people, patients and disabled people with an easy control system. The goal is to build a low-cost system based on speech recognition to easily access Internet of Things (IoT) devices installed in smart homes and hospitals without relying on a centralized superv...
There are many diseases that affect millions of people that can be treated only at the beginning of the disease. There are many types of research using wearables sensor devices to detect the impact of the diseases on the patient's muscles to give alarms to the patients to take care of. Nowadays, Designing and developing wearable devices that could...
Designing a low-cost mobile robot.
Proposing a method to detect landmines by integrating more than one technique.
Using an effective motion planning algorithm.
Ensuring the demining operator's safety.
Landmines are a dangerous problem that threats people lives and causes
economic problems. Landmines are harmful because of their unknown locations
and difficult to detect them. There are more than active 100 million landmines
in the world. Detecting and clearing mines demand specific expertise. There are
many techniques were used to detect landmine...
Provide to user: 1-The closest place for donators where they can be able to donate and Find donator. 2- send for our donators in near places notifications across mail or mobile number 3-Category in which, you can enter the medicine name and know its alternative and the effective chemical material in it and Herbs that can help in helping to treat th...
There are many countries affected by landmines which present a major threat to lives and cause economic problems. Landmines are harmful because of their unknown positions and often difficult to detect. The development of new demining technologies is difficult because of the tremendous diversity of
terrains and environmental conditions in which min...
There are many countries affected by landmines which present a major threat to lives and cause economic problems. Landmines are harmful because of their unknown positions and often difficult to detect. The development of new demining technologies is difficult because of the tremendous diversity of terrains and environmental conditions in which mine...
Questions
Questions (6)
We have been working on smart glasses with multiple sensors and the research point is how to improve the battery usage while using streaming data from sensors all the time
Projects
Projects (4)
Interactive education systems based on new technologies for smart cities. Using VR/AR for learners to interact with education systems.
We have been working on a project applying computer science, information systems, and information technology to healthcare to improve health care via any combination of higher quality, higher efficiency (spurring lower cost and thus greater availability), and new opportunities.
The proposed system uses fusion of low-cost multi-sensors instead of using very expensive one. The proposed robot used sensor fusion technique to increase the probability of mine detection. We have developed decision level fusion to decrease false
alarm of mines detection. We used complete coverage path planning to find all
possible mines in the environment.We proposed using multiple robots with the
same structure to use complete coverage path in parallel way to save the
time.We proposed effective obstacle avoidance algorithm to help the robot
moves in autonomous motion.The proposed robot is light in order no to trigger mines and be destroyed. We proposed effecive method to destroy mines where they are using arm on the robot to help defusing method.