External vs. Internal: An Essay on Machine Learning Agents for Autonomous Database Management Systems. - Andrew Pavlo; Matthew Butrovich; Ananya Joshi 001; Lin Ma 006; Prashanth Menon; Dana Van Aken; Lisa Lee; Ruslan Salakhutdinov (IEEE Data Eng. Bull., 2019)

Cooperative Rule Caching for SDN Switches. - Ori Rottenstreich; Ariel Kulik; Ananya Joshi 001; Jennifer Rexford; Gábor Rétvári; Daniel S. Menasché (CloudNet, 2020)

Review of machine learning techniques for mosquito control in urban environments. - Ananya Joshi 001; Clayton Miller (Ecol. Informatics, 2021)

Data Plane Cooperative Caching With Dependencies. - Ori Rottenstreich; Ariel Kulik; Ananya Joshi 001; Jennifer Rexford; Gábor Rétvári; Daniel Sadoc Menasché (IEEE Trans. Netw. Serv. Manag., 2022)

Computationally Assisted Quality Control for Public Health Data Streams. - Ananya Joshi 001; Kathryn Mazaitis; Roni Rosenfeld; Bryan Wilder (IJCAI, 2023)

CS-JEDI: Required DEI Education, by CS PhD Students, for CS PhD Students. - Bailey Flanigan; Ananya A. Joshi; Sara McAllister; Catalina Vajiac (SIGCSE (1), 2023)

Outlier Ranking for Large-Scale Public Health Data. - Ananya Joshi 001; Tina Townes; Nolan Gormley; Luke Neureiter; Roni Rosenfeld; Bryan Wilder (AAAI, 2024)

Workshop on Discovering Drift Phenomena in Evolving Data Landscape (DELTA). - Marco Piangerelli; Bardh Prenkaj; Ylenia Rotalinti; Ananya Joshi 001; Giovanni Stilo (KDD, 2024)

Outlier Ranking in Large-Scale Public Health Streams. - Ananya Joshi 001; Tina Townes; Nolan Gormley; Luke Neureiter; Roni Rosenfeld; Bryan Wilder (CoRR, 2024)

Data Monitoring for Large Scale Public Health Data. - Ananya Joshi 001 (AAAI, 2025)

An AI-Based Public Health Data Monitoring System. - Ananya Joshi 001; Nolan Gormley; Richa Gadgil; Tina Townes; Roni Rosenfeld; Bryan Wilder (CoRR, 2025)

Enabling Precise Topic Alignment in Large Language Models Via Sparse Autoencoders. - Ananya Joshi 001; Celia Cintas; Skyler Speakman (CoRR, 2025)