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Research Outcomes

(Publications, Preprints, Extended Abstracts, Projects near completion) in reverse chronological order

1. An Improved Lower Bound for The Two-Point Function for Critical Percolation in The Intermediate Dimensions.  

    

   E. Bailey, , and J.~Hanson.

    

   Near Completion. Abstract. Working paper is available upn request.
2. On The Fluctuation And Distributional Limit for One-Dimensional Long-Range First-Passage Percolation Time: Linear Growth Regime.  

    

   , and P. Dey.

    

   Near Completion. Abstract. Working paper is available upn request.
3. Minimax-Optimal Detection And Localizaaation of Change-Points for Dynamic Stochastic Block Models Irrespective of Their Sparsity.  

    

   T. Sadhukhan, , and S.~S.~Mukherjee.

    

   Near Completion. Abstract. Working paper is available upn request.
4. Community Detection for Multi-relational Sparse Networks with Dependent Adjacency Matrix.  

    

   J. Yu, , and S. Bhattacharyya.

    

   Near Completion. Abstract. Working paper is available upn request.
5. Inoculum Dose, Diversity, Dispersal, And Damage: Simulating Optimal Economic Control of An Aerially-Dispersed Plant Pathogen at The Regional Scale.

    

   J. Pedro, J. Y. Hwang, S. Bhattacharyya, , T. L. Marsh, and D. H. Gent.

    

   Near Completion. Abstract. Working paper is available upn request.
6. Monte Carlo EM Algorithm for Handling Missing Data in Hawkes Process.  

    

   J. Yu, S. Emerson, , R. Trangucci, and S. Bhattacharyya.

    

   Submitted. Abstract. Working paper is available upn request.
7. Dissecting Political Polarization with Multidimensional Visualization.  

    

   J. Yu, H. Chang, N. Hwang, , Y. Di, S. Bhattacharyya, and C. Stout.

    

   Submitted. Abstract.
8. How Do Growers Respond To Host Resistance? A Conditional Gaussian Bayesian Network for Causal Inference of Fungicide Cost Savings.

    

   J. Y. Hwang, S. Bhattacharyya, , T. L. Marsh, J. Pedro, and D. H. Gent.

    

   Submitted. Abstract.
9. Robust Construction of The Incipient Infinite Cluster in HighDimensional Critical Percolation.  

    

   , P. Chinmay, J. Hanson, and P. Sosoe.

    

   Submitted. Preprint: .
10. Modeling And Inference of Mixed Dynamics And Detection of Causal Emergent Features.

     

    W. Casey, L. Metcalf, , H. Janwa, E. Battifarano, A. Edwards, Y. Gvili.

     

    Submitted. Abstract.
11. Online Precision Matrix Changepoint Detection with Localization to Groups of Dimensions.

     

    T. Dinkins, W. Wong, S. Bhattacharyya, , G. Raffa.

     

    Submitted. Abstract..
12. Exploring Social Network Factors of Body Image Perception in Mexican Immigrants.

     

    E. Gutierrez, K. Florez, N. Hwang, .

     

    Submitted. Abstract.
13. A Dynamic Mean-Field Statistical Model of Academic Collaboration.

     

    , S. S. Mukherjee, and T. Sadhukhan.

     

    Submitted. Preprint: .
14. Bayesian Change-Point Detection: An Application to Detect Trend Changes in COVID-19.

     

    R. Siddani, , and C. Fuentes.

     

    Submitted. Abstract.
15. Concentration Inequalities for Correlated Network-Valued Processes with Applications to Community Estimation And Change-Point Analysis.

     

    S. Chatterjee, A. Nath, S. S. Mukherjee, , and S. Bhattacharyya.

     

    Submitted. Abstract. Preprint: .
16. Mathematics of YACHT (Yet Another Covid Health Testing) Protocol for Epidemic Management.

     

    I. Enaganti, , and B. Misgra.

     

    Submitted. Abstract. Preprint: .
17. Towards Optimal Tracing Strategy in Pandemics with Applications to Covid-19.

     

    I. Enaganti, , K. Meel, and B. Mishra.

     

    Submitted. Abstract.
18. Minimax-Optimal And Consistent Detection And Optimal Localization of All Detectable Change Points in Piecewise Stationary Arbitrarily Sparse Network-Sequences.

     

    , S. Bhattacharyya, and S. S. Mukherjee.

     

    Submitted. Preprint: .
19. Consistent Community Detection for Complex Multilayer Networks under Near-Optimal Sparsity Conditions.

     

    S. Bhattacharyya and .

     

    Submitted. Abstract. An earlier version ia available on .
20. A Novel Graph Spectra Approach to Anomaly Detection in Border Gateway Protocol.

     

    L. Metcalf, W. Casey, H. Janwa, , E. Battifarano, T. Snoke.

     

    To appear on Springer Lecture Notes in Networks and Systems – Proceedings of ISICN 2025. Abstract.
21. Are Remitters at Risk for Lower Food Security and Dietary Quality? An Exploratory Study of Mexican Immigrants in NYC.

     

    D. Cruz-Salazar, N. S. Hwang, , K. P. Derose, K. R. Flo ́rez.

     

    (2025). DOI: 10.1177/2752535X251355455, PMID: 40541260. Abstract. Preprint: .
22. Fungicide Selection, Disease Risk, And Grower Switching Behavior.

     

    J. Y. Hwang, S. Bhattacharyya, , T. L. Marsh, J. Pedro, and D. H. Gent.

     

    (2025). DOI: , PMID: 40176489. Abstract.
23. The Diversity And Determinants of Fungicide Programs for Hop Powdery Mildew.

     

    J. Y. Hwang, S. Bhattacharyya, , T. L. Marsh, J. Pedro, and D. H. Gent.

     

    (2025). DOI: 10.1094/PDIS-01-25-0043-RE,PMID: 40176490. Abstract.
24. Pandemics And Elections: Estimating The Net Effect of Anxiety And Partisanship.

     

    N. Hwang, H. Chang, , Y. Di, S. Bhattacharyya.

     

    Political Research Quarterly (2025). DOI: 10.1177/10659129251346188.

     

    BibTex: [txt]     Abstract: [pdf]       Download: [pdf]


25. Change-Point Estimation in Sparse Dynamic Stochastic Block Models Under Near-Optimal Signal Strength.

     

    , The 28th International Conference on Artificial Intelligence and Statistics (2025), PMLR series, vol 258, .

     

    BibTex: [txt]     Abstract: [pdf]       Download: [pdf]
26. What Explains Hop Growers’ Fungicide Use Intensity And Management Costs in Response to Powdery Mildew?

     

    J. Y. Hwang, S. Bhattacharyya, , T. L. Marsh, J. F. Pedro, and D. H. Gent.

     

    (2024), vol 114, no. 10, pages 2287--2299. DOI: .

     

    BibTex: [txt]     Abstract: [pdf]       Download: [pdf]
27. A Novel ML Method for Temporal Evolution of Geographic Clusters of Disease Spread Patterns.

     

    W. Casey, L. Metcalf, H. Janwa, , and E. Battifarano.

     

    (2024), pages 149--164. DOI: . Part of the book series (vol 1094).

     

    BibTex: [txt]     Abstract: [pdf]       Download: [pdf]
28. Identifying Highly Connected Sites for Risk-Based Surveillance And Control of Cucurbit Downy Mildew in The Eastern United States.

     

    A. M. E. Ojwang, A. Lloyd, S. Bhattacharyya, , D. H. Gent, and P. S. Ojiambo.

     

    (2024), vol 12, pages e17649. DOI: .

     

    BibTex: [txt]     Abstract: [pdf]       Download: [pdf]
29. Coupling an epidemiological and economic model to optimize management of hop powdery mildew at the landscape level.

     

    D. H. Gent, J. F. Pedro, T. L. Marsh, , and S. Bhattacharyya.

     

    of the Scientific-Technizal Commission of , 2023. Abstract: [pdf]
30. On The Estimation of The Number of Communities for Sparse Networks.

     

    N. Hwang, J. Xu, , and S. Bhattacharyya.

     

    , 2023. DOI: .

     

    BibTex: [txt]     Abstract: [pdf]       Download: [pdf]
31. Subcritical Connectivity And Some Exact Tail Exponents in High Dimensional Percolation.

     

    , J. Hanson, and P. Sosoe.

     

    , 2023, vol. 403, issue 1 pages 83 - 153. DOI: .

     

    BibTex: [txt]     Abstract: [pdf]       Download: [pdf]


32. Getting Local and Personal: Toward Building A Predictive Model for COVID in Three United States Cities.

     

    A. Edwards, L. Metcalf, W. A. Casey, , H. Janwa, and E. Battifarano.

     

    [vol. 1445 of ], (2023), ISBN 978-3-031-28332-1, pages 11–18. DOI: .

     

    BibTex: [txt]     Abstract: [pdf]       Download: [pdf]
33. Detection of Temporal Shifts in Semantics of “China virus” Using Local Graph Clustering.

     

    N. Hwang, , Y. Di, and S. Bhattacharyya.

     

    (2022), vol. 5, no. 1, pages 128-143. DOI: . Part of the Special Issue .

     

    BibTex: [txt]     Abstract: [pdf]       Download: [pdf]
34. Changes Over Time in Association Patterns Between Estimated COVID-19 Case Fatality Rates and Demographic, Socioeconomic and Health Factors in the US States of Florida and New York.

     

    M. Joshi, Y. Di, S. Bhattacharyya, and .

     

    (2022), vol. 2, no. 10, pages 1417--1434. DOI: .

     

    BibTex: [txt]     Abstract: [pdf]       Download: [pdf]
35. Towards Explainable Precision Change-Point Detection Through Linear Decomposition.

     

    T. Dinkins, S. Bhattacharyya, , S. Reis, and W. Wong.

     

    , The 2nd Workshop on , (2022).

     

    BibTex: [txt]     Abstract: [pdf]       Download: [pdf]
36. The Effect of Avoiding Known Infected Neighbors on The Persistence of A Recurring Infection Process.

     

    , D. Sivakoff, and M. Wascher.

     

    (2022), vol. 27, paper no. 109, pages 1--40, DOI: .

     

    BibTex: [txt]     Abstract: [pdf]       Download: [pdf]
37. Observational Study of the Effect of the Juvenile Stay-At-Home Order on SARS-CoV-2 Infection Spread in Saline County, Arkansas.

     

    N. Hwang, , Y. Di, and S. Bhattacharyya.

     

    (2022), vol. 9, no. 1, pages 74–84. DOI: .

     

    BibTex: [txt]     Abstract: [pdf]       Download: [pdf]
38. A General Framework for Spatio-Temporal Modeling of Epidemics with Multiple Epicenters: Application to An Aerially Dispersed Plant Pathogen.

     

    M. Ojwang, T. D. Ruiz, , S. Bhattacharyya, P. S. Ojiambo, and D. Gent.

     

    , section Dynamical Systems, vol. 7.
    DOI: 10.3389/fams.2021.721352. Selected for "Outstanding Article award" for the journal Frontiers in Applied Mathematics and Statistics. Featured in the dedicated collection .

     

    BibTex: [txt]     Abstract: [pdf]      Download: [pdf]
39. The Bethe Hessian And Information Theoretic Approaches for Online Change-Point Detection in Network Data.

     

    N. Hwang, J. Xu, , and S. Bhattacharyya.

     

    The Indian Journal of Statistics (2021), vol. 84, no. 1, pages 283–320. DOI: .

     

    BibTex: [txt]     Abstract: [pdf]      Download: [pdf]
40. Bacterial Swarmers Enriched During Intestinal Stress Ameliorate Damage.

     

    W. Chen, A. De, H. Li, D. J. Lukin, W. Szymczak, K. Sun, L. Kelly, J. R. Wright, R. Lamendella, S. Ghosh, D. B. Kearns, Z. He, C. Jobin, X. Luo, A. Byju, , B. San Yeoh, M. Vijay-Kumar, J. X. Tang, S. Mani.

     

    (2021), vol. 161, no. 1, pages 211--224. DOI: .

     

    BibTex: [txt]     Abstract: [pdf]      Download: [pdf]
41. Using Attendance Data for Social Network Analysis of A Community-Engaged Research Partnership.

     

    K. S. Vasquez, , C. Khalida, D. Moftah, B. DO ́razio, A. Leinberger-Jabari, J. N. Tobin, and R. G. Kost.

     

    (2021), vol. 5, no. 1, E75, pages 1--13. DOI: .

     

    BibTex: [txt]     Abstract: [pdf]      Download: [pdf]
42. Restricted Percolation Critical Exponents in High Dimensions.

     

    and J. Hanson.

     

    (2020), vol. 73, no. 11, pages 2370--2429. DOI: .

     

    BibTex: [txt]     Abstract: [pdf]      Download: [pdf]
43. Targeting The Pregnane X Receptor Using Microbial Metabolite Mimicry.

     

    Z. Dvorak, F. Kopp, C. M. Costello, J. S. Kemp, H. Li, A. Vrzalov ́a, M. Stepankov ́a, I. Bartonkov ́a, E. Jiskrov ́a, K. Poulkova, B. Vyhldalova, L. U. Nordstroem, C. V. Karunaratne, H. S. Ranhotra, K. S. Mun, A. P. Naren, I. A. Murray, G. H. Perdew, J. Brtko, L. Toporova, A. Schn, W. G. Wallace, W. G. Walton, M. R. Redinbo, K. Sun, A. Beck, S. Kortagere, M. C. Neary, A. Chandran, S. Vishveshwara, M. M. Cavalluzzi, G. Lentini, J. Y. Cui, H. Gu, J. C. March, , A. Matson, D. Wright, K. L. Flannigan, S. A. Hirota, R. B. Sartor, S. Mani.

     

    Cover page (2020), vol. 12, no. 4, pages e11621. DOI: .

     

    BibTex: [txt]     Abstract: [pdf]      Download: [pdf]


44. Consistent Recovery of Communities from Sparse Multi-Relational Networks: A Scalable Algorithm with Optimal Recovery Conditions.

     

    S. Bhattacharyya and .

     

    Complex Networks XI, Proceedings of the 11th Conference on Complex Networks , (2020), pages 92--103, DOI: .

     

    BibTex: [txt]     Abstract: [pdf]      Download: [pdf]
45. Optimal Change Point Estimator for Network Data.

     

    S. Bhattacharyya, , and S. S. Mukherjee.

     

    Book of Abstracts of , the 8th International Conference on Complex Networks & their Applications (2019), pages 375 - 377.

     

    BibTex: [txt]     Download: [pdf]
46. Thresholds for Detecting An Anomalous Path from Noisy Environments.

     

    and O. Zeitouni.

     

    (2018), vol. 28, no. 5, pages 2635-2663, DOI: .

     

    BibTex: [txt]     Abstract: [pdf]      Download: [pdf]
47. Phase Transition for The Threshold Contact Process, An Approximation of Heterogeneous Random Boolean Networks.

     

    .

     

    (2016), vol. 165, no. 3, pages 985-1023, DOI: .

     

    BibTex: [txt]     Abstract: [pdf]      Download: [pdf]


48. Multiple Phase Transitions in Long-Range First-Passage Percolation on Square Lattices.

     

    and P. S. Dey.

     

    (2016), vol. 69, no. 2, pages 203 - 256, DOI: .

     

    BibTex: [txt]     Abstract: [pdf]      Download: [pdf]
49. Jigsaw Percolation: What Social Networks Can Collaboratively Solve A Puzzle?

     

    C. D. Brummitt, , P. S. Dey, and D. Sivakoff.

     

    (2015), vol. 25, no. 4, pages 2013 - 2038, DOI:

     

    BibTex: [txt]     Abstract: [pdf]      Download: [pdf]
50. A First Order Phase Transition in The Threshold-θ≥ 2 Contact Process on Random r-Regular Graphs and r-Trees.

     

    and R. Durrett.

     

    (2013), vol. 123, no. 2, pages 561-578, DOI: .

     

    BibTex: [txt]     Abstract: [pdf]      Download: [pdf]
51. Asymptotic Behavior of Aldous' Gossip Process.

     

    and R. Durrett.

     

    (2011), vol. 21, no. 6, pages 2447-2482. DOI: .

     

    BibTex: [txt]    Abstract: [pdf]     Download: [pdf]
52. Persistence of Activity in Threshold Contact Processes, an "Annealed Approximation" of Random Boolean Networks.

     

    and R. Durrett.

     

    (2011), vol. 39, no. 2, pages 228 - 246, DOI:.

     

    BibTex: [txt]    Abstract: [pdf]    Download: [pdf]


53. Contact Processes on Random Graphs with Power-Law Degree Distributions Have Critical Value 0.

     

    and R. Durrett.

     

    (2009), vol. 37, no. 6, pages 2332-2356, DOI:.

     

    BibTex: [txt]     Abstract: [pdf]    Download: [pdf]


54. Statistical Learning Based on High Dimensional Data: Some Issues and Remedies for High Dimensionality in Clustering and Classification.

     

    .

     

    Masters Thesis, supervised by and , , 2006.

     

    Download: [pdf]

Talk Slides

• Consistent Community Detection Algorithms for Multiple Heterogeneous Sparse Networks.


• Detection of An Anomalous Path from a Noisy Environment.


• Order-chaos phase transition for complex Boolean networks.


• Long-range first-passage percolation on square lattices.


• Latent Voter model on random regular graph.


• Threshold-two contact process on random regular graphs.


• Aldous' Gossip process.


• Random Boolean Network.


• Contact process on power-law random graphs.