Evaluating the benefits of caching and stateless forwarding in mobile information-centric networks. - Adita Kulkarni; Anand Seetharam (ANCS, 2018)

Exploiting Correlations in Request Streams: A Case for Hybrid Caching in Cache Networks. - Adita Kulkarni; Anand Seetharam (LCN, 2018)

Greedy Caching: An optimized content placement strategy for information-centric networks. - Bitan Banerjee; Adita Kulkarni; Anand Seetharam (Comput. Networks, 2018)

QuickR: A Novel Routing Strategy for Wireless Mobile Information-centric Networks. - Adita Kulkarni; Anand Seetharam (IPCCC, 2019)

DeepFit: deep learning based fitness center equipment use modeling and prediction. - Adita Kulkarni; Anand Seetharam; Arti Ramesh (MobiQuitous, 2019)

SWaP: Probabilistic Graphical and Deep Learning Models for Water Consumption Prediction. - Gissella Bejarano; Adita Kulkarni; Raushan Raushan; Anand Seetharam; Arti Ramesh (BuildSys, 2019)

Model-Based and Machine Learning Approaches for Designing Caching and Routing Algorithms. - Adita Kulkarni; Anand Seetharam (ADHOCNETS, 2020)

DeepER: A Deep Learning based Emergency Resolution Time Prediction System. - Gissella Bejarano; Adita Kulkarni; Xianzhi Luo; Anand Seetharam; Arti Ramesh (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2020)

Model and Machine Learning based Caching and Routing Algorithms for Cache-enabled Networks. - Adita Kulkarni; Anand Seetharam (CoRR, 2020)

DeepChannel: Wireless Channel Quality Prediction Using Deep Learning. - Adita Kulkarni; Anand Seetharam; Arti Ramesh; Jerome Dinal Herath (IEEE Trans. Veh. Technol., 2020)

Analyzing Aggregate User Behavior on a Large Multi-platform Content Distribution Service. - Raushan Raj; Adita Kulkarni; Anand Seetharam; Arti Ramesh; Antônio A. de A. Rocha (ADHOCNETS/TRIDENTCOM, 2021)

QoE-aware Video Streaming in Heterogeneous Cellular Networks. - Adita Kulkarni; Anand Seetharam (CCNC, 2021)

Wireless Channel Quality Prediction using Sparse Gaussian Conditional Random Fields. - Raushan Raj; Adita Kulkarni; Anand Seetharam; Arti Ramesh (CCNC, 2021)

QoE-aware Assignment and Scheduling of Video Streams in Heterogeneous Cellular Networks. - Adita Kulkarni; Anand Seetharam (INFOCOM Workshops, 2021)

Platform-agnostic Model to Detect Sinophobia on Social Media. - Matthew Morgan; Adita Kulkarni (ACM Southeast Regional Conference, 2023)

Analyzing User Communication on Mainstream and Alternative Social Media Platforms Using Natural Language Processing: A Case Study on the COVID-19 Pandemic. - Matthew Morgan; Adita Kulkarni (HCI (16), 2023)

Analyzing Students' Perspective for Using Computer-Mediated Communication Tools for Group Collaboration in Higher Education. - Eric Owusu; Adita Kulkarni; Brittani S. Washington (HCI (30), 2023)

Predicting Customer Quality of Service for a Large Fixed Broadband Service Provider. - Douglas Cuba; Adita Kulkarni; Antônio A. de A. Rocha (IWCMC, 2023)

Classifying Customer Complaints of a Large Fixed Broadband Service Provider using Machine Learning. - Venicius Gonçalves Da Rocha Junior; Adita Kulkarni; Antônio A. de A. Rocha (IWCMC, 2023)

Machine Learning-Based Detection and Categorization of Malicious Accounts on Social Media. - Ajay Bhattacharyya; Adita Kulkarni (HCI (20), 2024)

Cyber Social Threats: A Data-centric AI Perspective. - Adita Kulkarni (ACM Southeast Regional Conference, 2025)