I am a Computer Science PhD student at Johns Hopkins University. Advised by Prof. Soudeh Ghrobani, my research concentrates on designing techniques to effectively measure and resolve sudden congestion events, known as bursts, in modern datacenters that negatively affect end-user experience. I received my bachelors degree from Sharif University of Technology. For my Bachelor's thesis, I evaluated the effects of load balancing in Named Data Networking (NDN) architecture.
My main field of research focuses on ways of measuring and addressing short periods of high utilization, known as bursts, that cause packet drops and impose extra latency in large datacenters. Addressing bursts is challenging due to their unpredictability and wide range of root causes. Currently, I am probing packet deflection, i.e., re-routing the packets forwarded to a congested port instead of dropping them, as a potential solution to the burst problem.
Supervised by Prof. Soudeh Ghorbani, I work on developing approaches for measuring and defusing bursts, sudden periods of high utilization, in modern datacenter networks.
As an intern of UCLA REMAP group, under the supervision of Prof. Jeff Burke, I participated in the project of creating an AR-enabled browser from the chromium codebased that operates on the Named Data Networking(NDN) architecture.
Evaluated the influences of the "power-of-two-choices" load-balancing scheme in a network grid while using NDN as the base network architecture. For this project, I was advised by Dr. Gharib and Prof. Movaghar from Sharif University of Technology.
File available on Researchgate
During my internship, I designed and implemented a technique to increase the speed of data migrations between the company's remote storage servers.
Responsible for automating the process of updating company's servers and performing FIO tests on them
Responsible for developing the Android and IOS application for Darmaneh Company, a startup that focused on creating a platform for virtual medical visits.