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Adita Kulkarni
Contact Information
134 Beethoven Street, Apt. 1 R [email protected], New York 13905 B http://cs.binghamton.edu/∼akulka17/Ó +1 (607) 232-4050 ° https://www.linkedin.com/in/aditakulkarni
Research InterestsInformation-centric Networks, Wireless Networks, Deep Learning, Ubiquitous Computing
EducationSUNY Binghamton, New York, USAPh.D., Computer Science Aug 2016 - PresentM.S., Computer Science (GPA: 3.94) Aug 2016 - Dec 2017Savitribai Phule Pune University, Maharashtra, IndiaB.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 FirstAuthors), “SWaP: Probabilistic Graphical and Deep Learning Models for Water Consumption Prediction”, ACMBuildSys 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 EquipmentUse Modeling and Prediction”, EAI MobiQuitous 2019 [Acceptance Rate TBA]
• Adita Kulkarni, Anand Seetharam, “Exploiting Correlations in Request Streams: A Case for Hybrid Cachingin Cache Networks”, IEEE LCN 2018 [Acceptance Rate 29.8%]
• Adita Kulkarni, Anand Seetharam, “Evaluating the Benefits of Caching and Stateless Forwarding in MobileInformation-centric Networks”, ACM/IEEE ANCS 2018 [Poster]
• Adita Kulkarni*, Bitan Banerjee*, Anand Seetharam (* Joint First Authors), “Greedy Caching-An OptimizedContent 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 inHeterogeneous 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 ReviewsIEEE INFOCOM 2020, IEEE ICC 2020, IEEE Communication Letters
Experience• SUNY Binghamton, New York, USAGraduate Teaching Assistant, Spring 2018, Fall 2018 - Fall 2019Computer Networks, Computer Architecture and Organization
• SUNY Binghamton, New York, USAGraduate Research Assistant, Summer 2018
• SUNY Binghamton, New York, USAGraduate Assistant, Summer 2017, Fall 2017Information Technology Assistant at International Student and Scholar Services
Software Skills
Python, Java, C, C++, MySQL, Icarus (Simulator), Tensorflow, MATLAB
Key CoursesIntroduction to Distributed Systems, Computer Networks, Computer Architecture and Organization, Operat-
ing Systems, Design and Analysis of Algorithms, Programming Languages, Systems Programming, Introduction toMachine Learning
