Our Expertise
Our transdisciplinary research is grounded in these key areas of expertise.
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Developing computational models that capture interactions across biological, social, and engineered systems.
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Running large-scale simulations to explore scenarios, forecast outcomes, and support decision-making.
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Using graph theory and network dynamics to understand how complex systems behave.
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Applying AI and machine learning to forecasting, decision support, and complex system analysis.
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Building realistic digital representations of populations and infrastructure to evaluate future outcomes.
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Leveraging advanced computing to perform large-scale simulations and accelerate scientific discovery.
Where Our Research Makes an Impact
These capabilities empower decision-makers with actionable insights for planning, response, and resilience.
BI by the Numbers
30+
years of large-scale systems modeling
$120M
grants & contracts since 2018
20+
federal & state partners
Our Latest Research Highlights
- Khayatian A, Gholamzadeh Nasrabadi F, Vullikanti A, Konar A. P3CA: One-Shot Private Spectral Graph Inference via Propose—Test—Release. In: Ceci M., et al. Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD. 2026 Sep 8. Lecture Notes in Computer Science, vol 16942. Springer, Cham.
- Rodríguez A, Adhikari B, Srivastava A, Wang K, Charpignon ML, Chang S, Cui J, Jin W, Joshi A, Vullikanti A, Prakash BA. epiDAMIK 2026: Workshop on Data-driven Decision Making for Public and Population Health. Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. 2026 Aug 9:13431-13432.
- Kishore A, Islam KA, Marathe M. "REVI-twin: an integrated AI-driven methodology for creating digital twin of residential electric vehicle infrastructure." npj Sustainable Mobility and Transport. 2026 Jul 2;3(1):45.
- Datta R, Cui J, Guan Z, Reddy V, Eby J, Madden GR, Silwal R, Vullikanti A. "Knowledge-Augmented Large Language Model for Multimodal Electronic Health Record–Based Risk Prediction: Development and Validation Study." JMIR AI. 2026 Jun 12;5(1):e88356.
- Hoque OB, Mandal NC, Wilson M, Swarup S, Marathe M, Adiga A. "CAFOSat: A Strongly Annotated Dataset for Infrastructure-Aware CAFO Mapping Using High-Resolution Imagery." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2026 Jun 3:7929-7938.
- Hoque OB, Mandal NC, Luong K, Wilson A, Swarup S, Marathe M, Adiga A. "PRISM-CAFO: Prior-conditioned Remote-sensing Infrastructure Segmentation and Mapping for CAFOs." Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. 2026 Jun 3:2083-2093.
- Adiga A, Chopra A, Wilson ML, Ravi SS, Xie D, Swarup S, Lewis BL, Warren AS, Barnes J, Raskar R, Marathe MV. "A high-resolution, US-scale digital similar of interacting livestock, wild birds, and human ecosystems for multihost epidemic spread." Proceedings of the National Academy of Sciences. 2026 Jun 2;123(22):e2507074123.
- Aljundi AA, Adiga A, Barrett C, Foster MJ, Klahn BD, Machi D, Marathe A, Potter PB, Schroeder A, Swarup S, Vullikanti A. "Network-based Active Learning for Identifying Illicit Actors in Financial Transaction Networks." Proceedings of the 25th International Conference on Autonomous Agents and Multiagent Systems. 2026 May 25:3561-3563.
- Heavey J, Adiga A, Vullikanti A. "Optimizing Pool Testing for Epidemic Surveillance." Proceedings of the 25th International Conference on Autonomous Agents and Multiagent Systems. 2026 May 25:1067-1075.
- Kishore A, Sundar K, Deka D, Marathe MV. "Tunable and computationally efficient framework for retrofitting: Budget allocation using income and spatial equity." PNAS nexus. 2026 May;5(5):pgag162.
- Mandal NC, Hoque OB, Wilson M, Swarup S, Nouwakpo S, Adiga A, Marathe M. "IRRISIGHT: A Large-Scale Multimodal Dataset and Scalable Pipeline to Address Irrigation and Water Management in Agriculture." Advances in Neural Information Processing Systems. 2026 Apr 23;38.
- Nguyen D, Srinivasan A, Valieva R, Vullikanti A, Wu J. "Controlling the Spread of Epidemics on Networks with Differential Privacy." Advances in Neural Information Processing Systems. 2026 Apr 23;38:55052-82.
- Espinoza B, Venkatramanan S, Warren A, Lewis BL, Poor HV, Levin SA, Marathe MV. "Integrated framework to study genomic surveillance of selective sweeps in multivariants dynamics." Proceedings of the National Academy of Sciences. 2026 Mar 17;123(11):e2521031123.
- Rao U, Marathe M. "LLM-enabled scientific knowledge diffusion analysis." Proceedings of the AAAI Conference on Artificial Intelligence. 2026 Mar 14; 40(47):40409-40415.
- Islam KA, Mehrab Z, Halappanavar MM, Mortveit H, Sridhar K, Loftis JD, Hoops S, Marathe M. "Towards high resolution probabilistic coastal inundation forecasting from sparse observations." Proceedings of the AAAI Conference on Artificial Intelligence. 2026 Mar 14;40(45):38607-38615.
- Mishra R, Adiga A, Marathe M, Ravi SS, Tandon R, Vullikanti A. "Information theoretic optimal surveillance for epidemic prevalence in networks." Proceedings of the AAAI Conference on Artificial Intelligence. 2026 Mar 14:40(18):15546-15554.
- Datta R, Kamruzzaman M, Klein EY, Madden GR, Deng X, Vullikanti A, Bhattacharya P. "Prediction of hospital associated infections during continuous hospital stays." Proceedings of the AAAI Conference on Artificial Intelligence. 2026 Mar 14;40(47):40234-40241.
- Sambaturu P, Sudhir M, Chen H, Vullikanti A, Muniappan R, Adiga A. "Scenario-aware control of multipathway spread processes: Application to biological invasions." PNAS nexus. 2026 Mar;5(3):pgag036.