The research interests in this lab lie in the broad areas of Security, Networking, and Big Data Analytics with a focus on experiments and modeling in the following domains.
- Networking engineering and protocols: Performance Optimization of a telecommunications network by dynamically analyzing, predicting and regulating the behavior of data transmitted over that network.
- Emergency Response Systems (ERS): Emergency data must be delivered in a timely fashion to assist rescue effort and recovery after a crisis. The data are often classified based on urgency for delivery priority. The aim of this research is to develop and leverage traffic engineering (TE) techniques to support emergency response where the end-to-end (E2E) delay is optimized for emergency data delivery depending on data urgency level.
- Security of computer networking and cyberinfrastructure: This research focuses on the developement of policies and practices needed to prevent and monitor adversarial conducts against network-accessible resources, such as Science DMZ.
- User and attacker behavior analytics with social sciences: This research aims at studying user behavior factors, such as intervention, phishing type, and monetary incentive, to understand how a user behaves during attacks or reception of malicious contents and what mechanism may prevent a user from a target.
- Cyber physical systems (e.g., power grids and transportation): This research area deals with systems, which comprise interacting digital, analog, physical, and human components engineered for function through integrated physics and logic. The efficiency and resiliency of such systems help in ensuring the foundation of our critical infrastructure, form the basis of emerging and future smart services, and improve our quality of life in many areas. Cyber-physical systems are relied on for bringing advances in personalized health care, emergency response, traffic flow management.
