Malware & intrusion detection
Cybersecurity & data analytics for healthcare
Collaborated with UT Health school of nursing to improve the safety, effectiveness, and efficiency of ICU clinical alarm systems. Initiating a new collaboration to develop AI solutions to detect children’s disabilities (i.e., Autism). The secured IoT ecosystems and communication networks will be designed and deployed to monitor patient’s behavior and detect abnormal behavior in near real time. Treatment will also be provided to patients through this IoT ecosystem.
Developed blockchain-based security solutions to protect the availability and integrity of Internet of Medical Things (IoT) and healthcare information systems (EHR) data. These blockchain-based solutions are currently applying and evaluated for protecting the supply chain from cyber threats.
Recently started a new research direction of hardware security. This research will collaborate with national laboratory researchers for the newly funded CONCISE project. This project will acquire a SCADA (hardware and software) testbed for research and education purposes. My team will focus on researching to develop AI-based solutions to enhance hardware malware detection and protect SCADA systems from side-channel attacks.