Implementation and validation of random exponential marking (REM) in ns-3. - Isha Tarte; Aparna R. Joshi; R. S. Navya; Mohit P. Tahiliani (ANTS, 2017)

Damage identification and assessment using image processing on post-disaster satellite imagery. - Aparna R. Joshi; Isha Tarte; Sreeja Suresh; Shashidhar G. Koolagudi (GHTC, 2017)

KEA: Tuning an Exabyte-Scale Data Infrastructure. - Yiwen Zhu; Subru Krishnan; Konstantinos Karanasos; Isha Tarte; Conor Power; Abhishek Modi; Manoj Kumar; Deli Zhang; Kartheek Muthyala; Nick Jurgens; Sarvesh Sakalanaga; Sudhir Darbha; et al. (SIGMOD Conference, 2021)

Towards a Machine Learning-Assisted Kernel with LAKE. - Henrique Fingler; Isha Tarte; Hangchen Yu; Ariel Szekely; Bodun Hu; Aditya Akella; Christopher J. Rossbach (ASPLOS (2), 2023)

Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning. - Barzan Mozafari; Radu Alexandru Burcuta; Alan Cabrera; Andrei Constantin; Derek Francis; David Grömling; Alekh Jindal; Maciej Konkolowicz; Valentin Marian Spac; Yongjoo Park; Russell Razo Carranzo; Nicholas Richardson; et al. (SIGMOD Conference Companion, 2023)