Scholar
Lydia Manikonda
Google Scholar ID: xB5PgNgAAAAJ
Rensselaer Polytechnic Institute
Citations & Impact
Citations
1,984
H-index
13
i10-index
14
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Best SPCs award at ICWSM-25; organized a workshop at ICWSM-25; published 'ML-based IPV Risk Factors among Homeless in the US' (JIV'24); published 'Predicting Intimate Partner Violence Perpetration among Young Adults Experiencing Homelessness in Seven U.S. Cities Using Interpretable Machine Learning' (JIV'24); gave a keynote address on 'AI and the Future of Health' (ACMS'24); published 'Comfort Foods and Community Connectedness: Investigating Diet Change during COVID-19 using YouTube Videos on Twitter' (ICWSM'23); published 'Investigating Privacy Paradox in the Context of Voice-based AI Systems' (AMCIS'22); published 'Linguistic Analysis of User Disclosures about Smoking Addiction during COVID-19 via Reddit' (ICWSM Data Challenge'22); published 'Shift of User Attitudes about Anti-Asian Hate on Reddit Before and During COVID-19' (WebScience'22); published 'The Reasoning behind Fake News Assessments: A Linguistic Analysis' (AIS THCI'22).
Research Experience
- Currently an Assistant Professor at Lally School of Management, Rensselaer Polytechnic Institute (RPI). Organized a workshop on 'Human-GenAI Interactions: Shaping the Future of Web Science' at WebScience 2025. Launched an AI/ML reading group at RPI.
Education
- Ph.D. in Computer Science from Arizona State University (ASU), supervised by Prof. Subbarao Kambhampati; M.S. by thesis and B.Tech (Honours) in Computer Science and Engineering from IIIT-Hyderabad.
Background
- Research interests include developing robust, goal-centric intelligent models that can learn and reason with complex, real-world data from the Web. Particularly interested in addressing critical challenges in privacy, public health (including addictions, dietetics, and maternal health), and finance (with an emphasis on crowdfunding). Also studies how generative AI is shaping user behavior online, handling unstructured and messy data, integrating diverse sources of information, and assessing the credibility of data.
Miscellany
- Personal interests and other information not provided.
Co-authors