Welcome to the FIND Lab

Our group is dedicated to conducting research in the broad area of internet based systems. Our work encompasses the fields of computer networks, wireless networks, ubiquitous computing, cyber-physical systems and data science. We seek a principled approach to solving problems in these fields by developing new theory and algorithms and conducting rigorous experiments.

We are looking for dedicated PhD, masters, and undergraduate students to join our group.


August 2019

Our paper on designing a deep learning based fitness center equipment use modeling and prediction accepted to EAI Mobiquitous 2019.

August 2019

Our paper on employing distributed energy storage for grid peak reduction accepted to IEEE IGSC 2019.

August 2019

Our paper on designing a routing strategy for wireless Mobile Information-centric Networks accepted to IEEE IPCCC 2019.

August 2019

Our paper on designing a smart water consumption prediction system accepted to ACM Buildsys 2019.

February 2019

Our paper on designing a deep learning model for wireless signal strength prediction accepted to IEEE ICC 2019.

November 2018

Our paper on designing a Markovian Model for analyzing opportunistic request Routing in wireless cache networks” accepted to IEEE Transactions on Vehicular Technology 2018.

September 2018

Our paper on designing a non-emergency response predictor for NYC using sparse gaussian conditional random fields” accepted to Mobiquitous 2018.

July 2018

Our paper on understanding the impact of request stream correlation on the performance of caching strategies accepted to IEEE LCN 2018. Congrats Adita!

June 2018

Adita Kulkarni and Dinal Herath receive travel grants to attend ACM/IEEE ANCS 2018. Congrats Adita and Dinal!

June 2018

Our poster on evaluating the benefits of caching and stateless forwarding in mobile information-centric networks accepted to ACM/IEEE ANCS 2018. Congrats Adita!

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