Professor at Professor at the Department of Computer Science, Illinois Institute of Technology
Dr. Shangping Ren is a Full Professor at the Department of Computer Science, Illinois Institute of Technology. She obtained her Ph.D in CS from UIUC in 1997. Before she joined IIT in 2003, she worked as a software engineer in industry for over five years. Her main research interest is in the areas of cyber-physical systems, real-time scheduling and cloud computing with focus on safety improvement of medical cyber-physical systems, software architecture and development, system reliability analysis under resource constraints, scheduling algorithm design for meeting reliability and deadline requirements, and resource optimization under cloud environment. She is one of the organizers for the first and second international workshop on Cyber-Physical Systems. The workshop now becomes the international conference on CPS. Her research is funded by NSF, Air Force Research Laboratory and Fermi National Accelerator Laboratory.
Use innovative CPS technologies to help hospitals to improve their adherence to medical best practice.
Analysis and testing of the scheduler system and the algorithms used in real-time applications
Address the resource and virtual machine instance hour minimization problem for directed-acyclic-graph based deadline constrained applications deployed on computer clouds
Software development of time critical distributed systems, including software architecture, system reliability under resource constraints, scheduling algorithms for meeting reliability
This project's solution to transform emergency care at rural hospitals is to use innovative CPS technologies to help hospitals to improve their adherence to medical best practice. The key to assist medical staff with different levels of experience and skills to adhere to medical best practice is to transform required processes described in medical texts to an executable, adaptive, and distributed medical best practice guidance (EMBG) system.
This project seeks to improve the robustness and reliability of software and systems developed on many-core platforms. Techniques developed in the research may also help to address the component upgrade and obsolescence issue, which has been challenging military and avionics industry for decades
Collaborating with industry and laboratories and progressively evaluating research results in real-world application settings are two additional key facets of this project. This ensures that the results are relevant and usable in improving the robustness of critical software.
This award provides NSF support for a workshop on the topic of Cyber-Physical Systems (the First International Workshop on CPS) to be held in June of 2008 in Beijing, in conjunction with the IEEE International Conference on Distributed Computing Systems
This research is developing a framework to address key issues in asynchronous dynamic real-time embedded systems: coordination, real-time constraints, and re-configurability in a modular fashion that permits separation of concerns.