Utkarshani Jaimini, PhD

Utkarshani Jaimini received her Ph.D. from the University of South Carolina. Her research focuses on improving explainability through causal knowledge graphs, with applications in autonomous driving, smart manufacturing, and healthcare. She, along with other co-organizers, organizes the workshop on causal NeSy AI at the top semantic web conference- Extended Semantic Web Conference (ESWC) 2025. She has contributed to tutorials, talks, and discussions at conferences like AAMAS, The Web Conference, Knowledge Graph Conference (KGC) and International Semantic Web Conference (ISWC). She has taken on leadership roles that amplify her impact. As an area chair for Women in Machine Learning (WiML) at NeurIPS and a session chair at notable conferences, she has facilitated knowledge exchange and fostered inclusivity. Her proactive engagement with the broader AI community is evident in her involvement with diversity and inclusion initiatives such as the CRA Scholarship and the AnitaB Grace Hopper Celebration. Her contributions span academia and industry, emphasizing her commitment to fostering a diverse workforce, equitable academic environments, and bridging the gap between research and real-world applications.

• Ph.D. University of South Carolina, Columbia, South Carolina, 2025
  • Dissertation: Causal Neuro-symbolic AI: A Synergy between Neuro- symbolic and Causal AI. Knowledge Graph Enabled Causal Discovery
• M.S., Wright State University, Dayton, Ohio, 2018
• BTech, Lakshmi Niwas Mittal Institute of Information Technology (LNMIIT), India, 2015

Causal Neuro-symbolic AI

1. Utkarshani Jaimini, Cory Henson, and Amit Sheth. CausalLP: Learning Causal Relations with Weighted Knowledge Graph Link Prediction., 2024
2. Utkarshani Jaimini, Cory Henson, and Amit Sheth. HyperCausalLP: Causal Link Prediction using Hyper- Relational Knowledge Graph. Link:
3. Utkarshani Jaimini, Cory Henson, and Amit Sheth. Causal Relation Learning through Knowledge Graph Link Prediction by Eliminating Back- door Paths.
4. Utkarshani Jaimini, Cory Henson, Amit Sheth, and Ramy Harik. Causal Neuro-symbolic AI for Root Cause Analysis in Smart Manufacturing. 23rd International Semantic Web Conference (ISWC), 2024 (A)
5. Utkarshani Jaimini, Cory Henson, and Amit Sheth. Causal Neuro- symbolic AI based Causal Entity Prediction in Autonomous Driving. 23rd International Semantic Web Conference (ISWC), 2024 (A)
6. Utkarshani Jaimini, Cory Henson, and Amit Sheth. Visual Causal Ques- tion and Answering with Knowledge Graph Link Prediction. 23rd Interna- tional Semantic Web Conference (ISWC) (Poster, Demo), 2024 (A)
7. Utkarshani Jaimini, Ruwan Wickramarachchi, Cory Henson, and Amit Sheth. Ontology Design Metapattern for RelationType Role Composition. 15th Workshop on Ontology Design and Patterns (WOP) at 23rd Interna- tional Semantic Web Conference (ISWC), 2024      
8. Utkarshani Jaimini, Cory Henson, and Amit Sheth. Causal Neuro- symbolic AI: A Synergy between Causality and Neuro-symbolic Methods. IEEE Intelligent Systems, vol. 39, no. 3, 2024 (Also part of Causal Data Science Meeting 2024) (Q1), IF=5.6
9. Utkarshani Jaimini, Cory Henson, and Amit Sheth. An Ontology Design Pattern for representing Causality. 14th Workshop on Ontology Design and Patterns (WOP) at 22nd International Semantic Web Conference (ISWC), 2023
10. Utkarshani Jaimini and Amit Sheth. CausalKG: Causal Knowledge Graph Explainability Using Interventional and Counterfactual Reasoning. IEEE Internet Computing, vol. 26, no. 1, 2021 (Q1), IF=3.7
     

Large Language Models

1. Arka Dutta, Utkarshani Jaimini, Sara Muthuselvam, Utkarsh Bhatt, Ami- tava Das, and Ashique KhudaBukhsh. Auditing and Robustifying AI- generated Content Detection Systems via Anti-content Sampling (Under review at 19th International AAAI Conference on Web and Social Media (ICWSM) 2025)

Industrial Metaverse

1. Utkarshani Jaimini, Tongtao Zhang, Olympia Georgia Brikis, and Amit Sheth. iMetaverseKG: Industrial Metaverse Knowledge Graph to Promote Interoperability in Design and Engineering Applications. IEEE Internet Computing, vol. 26, no. 6, 2022 (Q1), IF=3.7
2. Utkarshani Jaimini, Tongtao Zhang, and Olympia Georgia Brikis. Meta- verseKG: Knowledge Graph for Engineering and Design Application in In- dustrial Metaverse. 21st International Semantic Web Conference (ISWC), 2022 (A)

Personalized Healthcare

1. Utkarshani Jaimini, Krishnaprasad Thirunarayan, Maninder Kalra, Robin Dawson, and Amit Sheth. Personalized Bayesian Inference for Ex- plainable Healthcare Management, and Intervention. Human-Centered XAI: Enhancing AI Acceptability for Healthcare Workshop at 12th International Conference of Healthcare Informatics (ICHI), 2024
2. Utkarshani Jaimini, Krishnaprasad Thirunarayan, Marco Valtorta, Maninder Kalra, and Amit Sheth. Personalized Healthcare and Causal In- tervention. Extended Abstract in 6th Machine Learning for Health (ML4H) workshop at 34th Conference on Neural Information Processing Systems (NeurIPS), 2020
3. Utkarshani Jaimini, Amit Sheth, Krishnaprasad Thirunarayan, Maninder Kalra, and Marco Valtorta. Is It Safe for My Child’s Asthma? 6th Interna- tional Conference on Computational Social Science, (IC2S2), 2020
4. Revathy Venkataramanan, Krishnaprasad Thirunarayan, Utkarshani Jaimini, Dipesh Kadariya, Hong Yong Yip, Maninder Kalra, and Amit Sheth. Determination of Personalized Asthma Triggers from Multimodal Sensing and a Mobile App: Observational Study. JMIR Pediatrics and Parenting, 2(1), p.e14300, 2019 (Q2), IF=2.1
5. Utkarshani Jaimini, Krishnaprasad Thirunarayan, Maninder Kalra, Re- vathy Venkataramanan, Dipesh Kadariya, and Amit Sheth. “How Is My Child’s Asthma?” Digital Phenotype and Actionable Insights for Pediatric Asthma. JMIR Pediatrics and parenting, 1(2), p.e11988, 2018 (Q2), IF=2.1
6. Amit Sheth, Hong Yong Yip, Utkarshani Jaimini, Dipesh Kadariya, Vaikunth Sridharan, Revathy Venkataramanan, Tanvi Banerjee, Krish- naprasad Thirunarayan, and Maninder Kalra. Feasibility of recording sleep quality and sleep duration using Fitbit in children with asthma. Abstract in 32nd Annual Meeting of the Associated Professional Sleep Societies, LLC.in, 3-5 June 2018. REM, 95(86.09), pp.91-87, 2018 (Q1), IF=4.8
7. Amit Sheth, Tanvi Banerjee, Utkarshani Jaimini, Dipesh Kadariya, Vaikunth Sridharan, Krishnaprasad Thirunarayan, Revathy Venkatara- manan, Hong Yong Yip, and Maninder Kalra. Correlating Multimodal Sig- nals with Asthma Control in Children Using KHealth Personalized Digital Health System. Abstract in American Thoracic Society International Con- ference (ATS), 2018 (Q1), IF=15.24
8. Amit Sheth, Utkarshani Jaimini, and Hong Yong Yip. How will the In- ternet of Things enable augmented personalized health? IEEE Intelligent Systems, 33(1), pp.89-97, 2018 (Q1), IF=5.6

• AnitaB-GHC: AnitaB Grace Hopper Scholarship. Sponsored by Two Sigma CRA-WP: Computing Research Association Widening Participation Scholarship for a Grad Cohort for Women, 2020
• ISWC: International Semantic Web Conference (ISWC) Travel award 2023-2024
• ACM OCWiC: ACM Ohio Celebration of Women in Computing travel award, 2019 and 2017
• ACM-W TriWiC: ACM-Women Tri-state Women in Computing celebration travel award 2018
• IEEE SmartComp: 3rd IEEE International Conference on Smart Computing travel award 2017
• ICHI: 5th International Conference on Healthcare Informatics (ICHI) travel award 2016