Our paper on designing hierarchical models for detecting mobility clusters during COVID-19 has been accepted to ACM MobiWac 2021.
Two papers on understanding and modeling the impact of mobility on COVID-19 have been accepted to IEEE LCN 2021.
Our paper on understanding the societal disruption of the COVID-19 pandemic has been accepted to IEEE Smartcomp 2021.
Two short papers on understanding and modeling the impact of mobility on COVID-19 accepted to IFIP Networking 2021. Necati Ayan, the lead PhD student will present our findings in his poster presentation.
Our project on predicting COVID-19 spread using cell-phone date has been covered by Bing News. Check it out here!
Our project on characterizing mobility patterns during COVID-19 using cellular network data is in the news. Check out the article here!
Our paper on QoE-aware assignment and acheduling of video streams in heterogeneous cellular networks has been accepted to IEEE Global Internet Symposium 2021 (held in conjunction with INFOCOM 2021). An earlier version of the paper appeared as a poster in IEEE CCNC 2021.
SWIFT paper that predicts resolution time of non-emergency events in cities has been accepted to Elsevier Pervasive and Mobile Computing Journal.
DeepER paper that predicts resolution times of emergency services has been covered by Bing News, Spectrum News, Government Computer News and Voice of America.
Our paper on analyzing the societal impact during the early days of the COVID-19 pandemic has been accepted to SocialCom 2020.
Our paper on wireless channel quality prediction using sparse Gaussian conditional random fields has been accepted to IEEE CCNC 2021.
Our paper on predicting emergency resolution time using deep learning has been accepted to IEEE CPSCom 2020.
Our research on desgining model-based and machine learning approaches for caching and routing has been accepted to EAI AdHocNets 2020.
Our research on understanding the impact of COVID-19 on education has been accepted to the ACM SIGCOMM Networking Education Workshop.
Our research on understanding the societal impact of COVID-19 has been accepted for a Lightning Talk at the CRA Virtual Conference 2020.
Our research on designing ensemble regression models for predicting confirmed COVID-19 cases has been accepted to AI for Social Good Workshop. Check out our paper here. Check out the NEWS coverage here.
Adita successfully defended her thesis today. She will join the CS department at SUNY Brockport as an assistant professor.She also received the PhD Academic Excellence Award from the Watson School.
My research group has been conducting research on COVID-19. Check it out here .
I along with Prof. Arti Ramesh have been awarded the SUNY seed grant to study the societal impact of COVID-19.
Our DeepChannel paper accepted to IEEE Transactions on Vehicular Technology 2019.
Our paper on designing a deep learning based fitness center equipment use modeling and prediction accepted to EAI Mobiquitous 2019.
Our paper on employing distributed energy storage for grid peak reduction accepted to IEEE IGSC 2019.
Our paper on designing a routing routing for wireless mobile ICN accepted to IEEE IPCCC 2019.
Our paper on designing a smart water consumption prediction system accepted to ACM Buildsys 2019.
Our paper on designing a deep learning model for wireless signal strength prediction accepted to IEEE ICC 2019.
Our paper on designing a Markovian Model for analyzing opportunistic request Routing in wireless cache networks accepted to IEEE Transactions on Vehicular Technology 2018.
Our paper on designing a non-emergency response predictor for NYC using sparse gaussian conditional random fields” accepted to Mobiquitous 2018.
Our paper on understanding the impact of request stream correlation on the performance of caching strategies accepted to IEEE LCN 2018. Congrats Adita!
Our poster on evaluating the benefits of caching and stateless forwarding in mobile information-centric networks accepted to ACM/IEEE ANCS 2018. Congrats Adita!
Our paper on designing a content search and routing strategy under custodian unavailability in information-centric networks accepted to Elsevier Computer Networks.
Our paper on designing an optimized greedy caching algorithm for information-centric networks accepted to Elsevier Computer Networks. Congrats Adita!
Our paper on designing a predictive analytics framework for smart water management accepted to IEEE Smartcomp Smart Industries Workshop 2018.
Our paper on employing renewables to effectively cut load in electric grids accepted to IEEE Smartcomp 2018.
Our paper on analyzing opportunistic routing in cache networks accepted to IEEE ICC 2018. Congrats Dinal!
Our paper on analyzing goodput in heterogeneous mobile networks accepted to Elsevier Computer Networks.
Poster on investigation the impact of cache pollution attacks in heterogeneous cellular networks accepted to IEEE ICNP 2017.
Paper on the applying biometrics data security techniques for portable mobile devices accepted to Springer INAE letters 2017.
Our paper on caching and routing in information-centric networks accepted to IEEE Communications Magazine 2017.
Adita Kulkarni's poster on understanding impact of mobility on performance of caching strategies accepted to ACM Mobisys Women Workshop 2017. Congrats Adita!
Our paper on designing an optimized caching strategy for information-centric networks accepted to IFIP Networking 2017.
Our paper on understanding the complexity of optimal request routing and caching in heterogeneous cache networks accepted to IEEE Transactions on Networking.
Our paper on designing a characteristic time based routing algorithm for information-centric networks accepted to Elsevier Computer Networks.