Hamdy Soliman has been a computer science teacher and researcher at New Mexico Tech since 1989. He has chaired the department, served as a graduate advisor for 18 years, is an active member of many committees (tenure, promotion, professorship, assessment, accreditation, advising, search), and is coordinator of the Sensor Network and Cyber Security Labs. He is also the author of six US patents and 82 journal and conference papers.

Hamdy’s research covers many areas, including all-fiber-optic network topologies and protocols, data-driven/task-flow computer systems, and soft computing applications. His current primary foci are computer/sensor network security, neural networks, and sensor network applications. He has several publications related to network communication protocols, mobile network security, ad hoc networks, and wireless sensor network event-detection systems.

One of his biggest contributions to server/cellphone security is a novel encryption algorithm, synchronous dynamic encryption system (SDES), which has shown better performance than AES, is secure against insiders, and is resistant to quantum computing attacks. This security research resulted in the development of five security patents.

Hamdy’s work in the machine learning field is focused on artificial neural network modeling. Specifically, he applied machine learning models to construct smart big data and cloud computing managers, asynchronous event-detection sensor networks, and his patented image compression technique, which utilizes neural network modeling to provide better performance than the well-known wavelet image compression (discrete-cosine) technology.

Hamdy’s most recent research is on designing a general smart and secure sensory system for very early prediction of asynchronous critical events (with many applications in civil/military domains). Such a warning system would help in preemptively dealing with a wide spectrum of critical events before their occurrence, through sensor networks and machine learning. Some example applications include body area networks, computing systems security, and environmental disasters (for example, forest fires, tsunamis, earthquakes, eruptions, borders intrusion, and military battlefield operations).

Hamdy has been a reviewer for Computing Reviews since 2011.