Elizabeth Liri

Ph.D Candidate
Department of Computer Science and Engineering
University of California, Riverside

Contact 465 Winston Chung Hall University of California, Riverside Riverside, CA, 92521 Email: eliri001@ucr.edu

I am currently a graduate student at the University of California Riverside where I am pursuing a Ph.D. in Computer Science under the supervision of Prof. K. K. Ramakrishnan. My current research focus is on efficient transport protocols for the Internet of Things and am working with other students in the UCR Networks, Systems and Security Lab.

Research Interests

• Internet of Things and Wireless Sensor Networks
• Networking and Transport Protocols
• Mobile, Ad-Hoc and Wireless Networks

Education

• Ph.D in Computer Science, Department of Computer Science and Engineering, University of California, Riverside, USA (2016 - to date)
• M.Eng in Computer Applications Technology, Department of Information Science and Engineering, Central South University, Changsha, China (2005 - 2008)
• B.Sc in Electrical Engineering, Department of Electrical Engineering, Makerere University, Kampala, Uganda (1997 - 2001)

Publications

• E. Liri, P. K. Singh, A. B. Rabiah, K. Kar, K. Makhijani and K. K. Ramakrishnan, "Robustness of IoT Application Protocols to Network Impairments," 2018 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN), Washington, DC, 2018, pp. 97-103. doi 10.1109/LANMAN.2018.8475048
• Elizabeth Olule, Guojun Wang, Minyi Guo, Song Guo, “Designing Energy Efficient Target Tracking Protocol with Quality Monitoring in Wireless Sensor Networks” The Journal of Supercomputing, (Springer) Volume 51, No 2, Pages 131-148 / February, 2010, DDOI 10.1007/s11227-009-0278-5
• Elizabeth Olule, Guojun Wang, Minyi Guo, Mianxiong Dong, “RARE : An Energy Efficient Target Tracking Protocol for Wireless Sensor Networks” Proceedings of the 2007 IEEE International Conference on Parallel Processing Workshops (ICPPW 2007), September 2007 pp 76-81, Xi’an, China
• Patrick Drake Mirembe, Francis Otto, Elizabeth Olule, Song Ouyang, “Enhanced Master-Slave Time Synchronization Architecture for Wireless Sensor Networks” Australian Telecommunication Networks and Applications Conference (ATNAC 06), Melbourne, Australia pg. 142-147, 3 Dec 2006

Links

• UCR CSE Networks Lab
• UCR CSE
• UC Riverside