ML-based IPV Risk Factors among Homeless in the US (JIV'24)
Predicting Intimate Partner Violence Perpetration among Young Adults Experiencing Homelessness in Seven U.S. Cities Using Interpretable Machine Learning .
Bridging the gaps in multidisciplinary research
I received my Ph.D. in Computer Science from Arizona State University (ASU) under the supervision of Prof. Subbarao Kambhampati. Before ASU, I pursued M.S by thesis and B.Tech (Honours) in Computer Science and Engineering from IIIT-Hyderabad.
My research passion lies in developing robust, goal-centric intelligent models that are capable of learning and reasoning with complex, real-world data drawn from the Web. I am particularly interested in applying these models to address critical challenges in privacy, public health (including addictions, dietetics, and maternal health), and finance (with an emphasis on crowdfunding).
Within this broader scope, I also study how generative AI is actively shaping user behavior online. The rise of generative systems has introduced new privacy concerns, altered patterns of interactions both online and offline, and its impact on mental health. Understanding and integrating these behavioral, ethical, and psychological dimensions into metacognitive tasks is a central aspect of my work, ensuring that frameworks remain both effective and adaptable in dynamic environments. Methodologically, my research tackles core challenges such as handling unstructured and messy data, and integrating diverse sources of information. Once structure is established, I focus on assessing the credibility of data, uncovering causal relationships among patterns, and designing interpretable explanations for automated decision-making.
Ultimately, my goal is to advance intelligent models that not only deliver reliable insights and support decision-making but also address the broader societal implications of AI on privacy, user behavior, and human well-being. For full details of my research and publications, you can find them here. You can find my CV here.
Latest News
| Truly honored to receive the best SPCs award at ICWSM-25. |
| Organizing a workshop on "Human-GenAI Interactions: Shaping the Future of Web Science" at WebScience 2025 conference. |
| Launched an AI/ML reading group at RPI. More details on the papers we read this year can be found on our reading group website. |
Recently Pulished Work
AI and the Future of Health (ACMS'24)
Keynote address on AI and the future of health in the context of faith.
COVID-19 and Diet Change (ICWSM'23)
Comfort Foods and Community Connectedness: Investigating Diet Change during COVID-19 using YouTube Videos on Twitter.
Privacy Paradox and AI Systems (AMCIS'22)
Investigating Privacy Paradox in the Context of Voice-based AI Systems.
User Disclosures and Addictions (ICWSM Data Challenge'22)
Linguistic Analysis of User Disclosures about Smoking Addiction during COVID-19 via Reddit.
Anti-Asian Hate and COVID-19 (WebScience'22)
Shift of User Attitudes about Anti-Asian Hate on Reddit Before and During COVID-19.
Reasoning behind Fake News Assessments (AIS THCI'22)
The Reasoning behind Fake News Assessments: A Linguistic Analysis.
Get In Touch
For students who are seeking recommendation letters, I would prefer email communication.