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 passion is to build robust goal-centric decision-making frameworks that are capable of learning and reasoning. I am particularly interested in building these frameworks to address problems in the areas of privacy, public health (addictions, dietetics, and maternal health (IPV)), and Finance (crowdfunding). Some of the primary challenges in building these models often include -- handling unstructured and messy data, data that might be biased and integrating data from different sources of information. Once structure is established in the dataset, interpreting the credibility of the data and extracting causality between different data patterns, and providing explanations for the insights obtained for decision-making are the primary goals of my research. For full details of my research and publications, you can find them here. You can find my CV here.
Funding
| Louis & Hortense Rubin Community Fellows Program Small Grant to collaboratively work with community agencies in Rensselaer County: An Artificial Intelligence (AI) Framework to help facilitate Opioid Addiction Recovery in Rensselaer County. L. Manikonda (PI), NOpiates Committee (local grassroots organization). $11,000. 09/01/2023 to 05/31/2024. |
| NSF IUCRC -- Center for Research toward Advancing Financial Technologies (CRAFT). Full Grant: High Dimensional Portfolio Design and Optimization using an Explainable Ensemble Learning Framework. L. Manikonda (PI), C. Edirisinghe (Co-PI). $100,000. 06/01/2022 to 05/31/2023. |
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.