The specific application areas he is interested in are secure sensor/IoT data analytics, m-health/e-
health, wireless body sensor networks, secure IoT applications. Ibrahim and his research team
have developed Fully Homomorphic based privacy preserving techniques for Big Data on cloud.
This involves data analytics of encrypted data on cloud without any decryption. Since working on
encrypted data is extremely time-consuming, Ibrahim’s research group have built innovative
distributed computing techniques to speed up computations. In recent past, Ibrahim has also
contributed in the area of remote cardiac monitoring for elderly people. With cardiovascular
disease as the number one killer of modern era, Electrocardiogram (ECG) is collected, stored and
transmitted in greater frequency than ever before. However, in reality, ECG is rarely transmitted
and stored in an efficient and secured manner. Ibrahim has developed ECG compression
algorithms, cardiovascular diagnosis methods, secure transmission and storage techniques for
remote cardiac monitoring applications. Such applications will enable patients to stay at home
while being continuously monitored by medical service providers.