Adita Kulkarni Contact Information 134 Beethoven Street, Apt. 1 [email protected] Binghmton, New York 13905 http://cs.binghamton.edu/∼akulka17/ +1 (607) 232-4050 https://www.linkedin.com/in/aditakulkarni Research Interests Information-centric Networks, Wireless Networks, Deep Learning, Ubiquitous Computing Education SUNY Binghamton, New York, USA Ph.D., Computer Science Aug 2016 - Present M.S., Computer Science (GPA: 3.94) Aug 2016 - Dec 2017 Savitribai Phule Pune University, Maharashtra, India B.E., Computer Engineering (GPA: 3.85) Jul 2013 - May 2016 Publications • Adita Kulkarni, Anand Seetharam, Arti Ramesh, J. Dinal Herath, “DeepChannel: Wireless Channel Quality Prediction using Deep Learning”, IEEE Transactions on Vehicular Technology 2019 • Adita Kulkarni*, Gissella Bejarano*, Raushan Raushan*, Anand Seetharam, Arti Ramesh (* Joint First Authors), “SWaP: Probabilistic Graphical and Deep Learning Models for Water Consumption Prediction”, ACM BuildSys 2019 [Acceptance Rate 29.6%] • Adita Kulkarni, Anand Seetharam, “QuickR: A Novel Routing Strategy for Mobile Information-centric Net- works”, IEEE IPCCC 2019 [Acceptance Rate 29.2%] • Adita Kulkarni, Anand Seetharam, Arti Ramesh, “DeepFit: Deep Learning based Fitness Center Equipment Use Modeling and Prediction”, EAI MobiQuitous 2019 [Acceptance Rate TBA] • Adita Kulkarni, Anand Seetharam, “Exploiting Correlations in Request Streams: A Case for Hybrid Caching in Cache Networks”, IEEE LCN 2018 [Acceptance Rate 29.8%] • Adita Kulkarni, Anand Seetharam, “Evaluating the Benefits of Caching and Stateless Forwarding in Mobile Information-centric Networks”, ACM/IEEE ANCS 2018 [Poster] • Adita Kulkarni*, Bitan Banerjee*, Anand Seetharam (* Joint First Authors), “Greedy Caching-An Optimized Content Placement Strategy for Information-centric Networks”, Elsevier Computer Networks 2018 • Adita Kulkarni, Anand Seetharam, “Impact of Mobility on Performance of Caching Strategies in Information- centric Networks”, ACM Mobisys Women Workshop 2017 [Poster] Under Review • Adita Kulkarni, Anand Seetharam, “QoE-aware Assignment and Scheduling of Multiple Video Streams in Heterogeneous Cellular Networks” Awards and Honors • ACM/IEEE ANCS 2018 Student Travel Grant Recipient • Sponsorship from James Bankoski (Google Engineering Director) and the Watson School (SUNY Binghamton) for attending Grace Hopper Celebration 2017 • ACM MobiSys 2017 Student Travel Grant Recipient • Best Outgoing Student 2013, Sinhagad Institute’s SVCP, Maharashtra State Board of Technical Education Professional Reviews IEEE INFOCOM 2020, IEEE ICC 2020, IEEE Communication Letters