Mar 9, 2016

Liu receives NSF CISE Research Initiation Initiative Award Grant




Dr. Tongping Liu, an assistant professor in UTSA's Department of Computer Science, has recently received the National Science Foundation CISE Research Initiation Initiative award (CRII). The CRII awards grants to initiate the course of one's independent research after their Ph.D. completions. (https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504952)


Dr. Liu's project, EVID: Evidence-Assisted Detection and Elimination of Memory Errors in Single and Multi-threaded Programs, proposes several techniques to detect and prevent memory errors which can greatly reduce zero-day vulnerabilities and improve the reliability and security of software systems. EVID employs the following insight: it is often possible to discover the evidence of errors such as buffer overflows, use-after-frees, and memory leaks, after-the-fact. Assisted by the evidence, this project utilizes deterministic and instrumented re-execution to pinpoint the exact causes of memory errors in both single and multithreaded programs. EVID further proposes an innovative system that automatically eliminates detected memory errors, without restarting the software or compromising its availability. Thus the tools developed in the project have a direct impact on improving robustness of national cyber-infrastructure.

​ The preliminary results of this project are going to be published at the International Conference on Software Engineering in 2016, a premium forum in software engineering field. ​

For more information on Dr. Liu and his research, read his full article at
http://www.cs.utsa.edu/news/99/97/Welcome-to-new-faculty-Dr-Tongping-Liu/

Dr. Tongping Liu, an assistant professor in UTSA's Department of Computer Science, has recently received the National Science Foundation CISE Research Initiation Initiative award (CRII). The CRII awards grants to initiate the course of one's independent research after their Ph.D. completions. (https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504952)


Dr. Liu's project, EVID: Evidence-Assisted Detection and Elimination of Memory Errors in Single and Multi-threaded Programs, proposes several techniques to detect and prevent memory errors which can greatly reduce zero-day vulnerabilities and improve the reliability and security of software systems. EVID employs the following insight: it is often possible to discover the evidence of errors such as buffer overflows, use-after-frees, and memory leaks, after-the-fact. Assisted by the evidence, this project utilizes deterministic and instrumented re-execution to pinpoint the exact causes of memory errors in both single and multithreaded programs. EVID further proposes an innovative system that automatically eliminates detected memory errors, without restarting the software or compromising its availability. Thus the tools developed in the project have a direct impact on improving robustness of national cyber-infrastructure.

​ The preliminary results of this project are going to be published at the International Conference on Software Engineering in 2016, a premium forum in software engineering field. ​

For more information on Dr. Liu and his research, read his full article at http://www.cs.utsa.edu/news/99/97/Welcome-to-new-faculty-Dr-Tongping-Liu/