Moinak Bhaduri

Moinak Bhaduri, PhD

Associate Professor
Department of Mathematical Sciences
Bentley University, Massachusetts

Rooted in applied probability, Moinak Bhaduri studies spatio-temporal Poisson processes and others like the self-exciting Hawkes or log-Gaussian Cox processes that are natural generalizations. His primary interest includes developing change-detection algorithms in systems modeled by these stochastic processes, especially through trend permutations. His research has found applications in computer science, finance, reliability and repairable systems, geoscience, and oceanography. Follow some of Moinak’s work using the links below.

Peer-reviewed journal articles (published and accepted)

  • Zahirodini, B., Bhaduri, M. (2026) How modern consumers’ actions deviate from set frames of expectations: Violations of transitivity among businesses’ involvement in social issues. Societal Impacts (7) 100182. https://doi.org/10.1016/j.socimp.2026.100182
  • Bhaduri, M. (2025) Altered tradeoffs between uncertainty and feeling in inherent indecisions: uniform-binomial mixture densities to gauge the impact of shifts in work operations on employees. Societal Impacts (6) 100152. https://doi.org/10.1016/j.socimp.2025.100152
  • Bhaduri, M. (2025) Are individuals who are positive about artificial intelligence also more unsure? Patterns, Elsevier 6(10), 101374. https://doi.org/10.1016/j.patter.2025.101374.
  • Bhaduri, M. (2025) Change-points in cricket run-scoring with permuted trends: applications through functional alignment and outlier detection in excitement quantification and bolstering advocacy, International Journal of Sports Science and Coaching. https://doi.org/10.1177/17479541251372708
  • Zahirodini, B., Bhaduri, M. (2025) Are all bets off when it comes to agreement gambles? European Mathematical Society Magazine, EMS Press, Institut für Mathematik, Technische Universität Berlin (accepted, in press).
  • Smith, C., Bhaduri, M., (2025) A recipe for systems change: Predictive modeling and street-level bureaucracy among homeless services, PLoS One 20(8): e0328822. https://doi.org/10.1371/journal.pone.0328822
  • Bhaduri, M., Predescu, M., (2025) Discrete-time evolution and stable equilibria of multi-compartment dengue tracker: nonlinear dynamics modulated by controlled stochasticity. The Australian Journal of Mathematical Analysis and Applications, 22(1), 8. https://ajmaa.org/cgi-bin/paper.pl?string=v22n1/V22I1P12.tex
  • Bhaduri, M. (2025) The Johnny Depp – Amber Heard defamation trial: lights on a sad spectacle shed through change analysis, Scatterplot, the MAA Journal of Data Science, 2(1), 1–8. https://doi.org/10.1080/29932955.2025.2481732
  • Zahirodini, B., Bhaduri, M., (2025) Marking contemporary America’s attitudinal stance towards modern businesses: a Bayesian attempt to detect deviation patterns based on demographics and politics, Chance, 38 (2), 52-62. https://doi.org/10.1080/09332480.2025.2500900
  • Camp, J., Smith, C., Bhaduri, M., Eddy, S. (2024). Living among immigrants at the U.S.-Mexico border: Community-based learning and the benefits evidenced through network science. Journal of Educational Impact, 1(2), 32-59. https://doi.org/10.70617/eduimpact.2025.2
  • Bhaduri, M., (2024) Do we let businesses get away with dodgy ethics and loose morals? An application of Markov random fields, Chance, 37 (3), 6-12. https://doi.org/10.1080/09332480.2024.2415269
  • Ho, C.-H., Koo, S., Bhaduri, M., Zhou, L. (2024). A cocktail of Bidirectional tests for power symmetry and repairable systems reliability. IEEE Transactions on Reliability, 73 (1), 384-398 10.1109/TR.2023.3250494
  • Bhaduri, M. (2023). Bringing unrelated games closer: excitements unified with changes picked through a careful parallax. Chance, 36 (3), 12-18. https://doi.org/10.1080/09332480.2023.2264728
  • Bhaduri, M. (2023). Oxygen, crampons, data: Can statistics help us climb Everest? Significance, 20 (5), 20–25. https://doi.org/10.1093/jrssig/qmad076
  • Setiawan, H., Bhaduri, M. (2023). Spotting the stock and crypto markets’ rings of fire: measuring change proximities among spillover dependencies within inter and intra-market asset classes. Applied Network Science, 8, 61. https://doi.org/10.1007/s41109-023-00589-w
  • Bhaduri, M. (2022). Contrary currents. Chance, 35 (1), 26-33. https://doi.org/10.1080/09332480.2022.2039025
  • Bhaduri, M., Dery, J., Haughton, D. M., Li, T., Liu, P., Nan, W. (2021). Dynamics of reward-based crowdfunding: Kickstarter rock music projects. Chance, 34 (1), 4-13. https://doi.org/10.1080/09332480.2021.1885927
  • Bhaduri, M. (2020). On modifications to the Poisson‑triggered hidden Markov paradigm through partitioned empirical recurrence rates ratios and its applications to natural hazards monitoring. Scientific Reports/Springer Nature/Nature Research Journals. (10), 15889. https://doi.org/10.1038/s41598-020-72803-z
  • Zhan, F., Martinez, A., Rai, N., McConnell, R., Swan, M., Bhaduri, M., Zhan, J., Gewali, L., Oh, P. (2019). Beyond Cumulative Sum Charting in Non-Stationarity Detection and Estimation. IEEE Access, 7, 140860 – 140874. 10.1109/ACCESS.2019.2943446
  • Bhaduri, M., Ho, C.-H. (2018). On a temporal investigation of hurricane strength and frequency. Environmental Modeling and Assessment. 24 (5), 495–507. https://doi.org/10.1007/s10666-018-9644-0
  • Bhaduri, M., Zhan, J. (2018). Using empirical recurrence rates ratio for time series data similarity. IEEE Access, 6, 30855-30864. 10.1109/ACCESS.2018.2837660
  • Ho, C.-H., Bhaduri, M. (2017). A quantitative insight into the dependence dynamics of the Kilauea and Mauna Loa volcanoes, Hawaii. Mathematical Geosciences, 49 (7), 893-911. https://doi.org/10.1007/s11004-017-9692-z
  • Bhaduri, M., Zhan, J., Chiu, C. (2017). A novel weak estimator for dynamic systems. IEEE Access, 5, 27354-27365. 10.1109/ACCESS.2017.2771448
  • Bhaduri, M., Zhan, J., Chiu, C., Zhan, F. (2017). A novel online and non-parametric approach for drift detection in big data. IEEE Access, 5, 15883-15892. 10.1109/ACCESS.2017.2735378
  • Ho, C.-H., Zhong, G., Cui, F., Bhaduri, M. (2016). Modeling interaction between bank failure and size. Journal of Finance and Bank Management, 4 (1), 15-33. http://jfbmnet.com/journals/jfbm/Vol_4_No_1_June_2016/2.pdf
  • Ho, C.-H., Bhaduri, M. (2015). On a novel approach to forecast sparse rare events: applications to Parkfield earthquake prediction. Natural Hazards, 78 (1), 669-679. https://doi.org/10.1007/s11069-015-1739-1
  • Tan, S., Bhaduri, M., Ho, C.-H. (2014). A statistical model for long-term forecasts of strong dust sand-storms. Journal of Geoscience and Environment Protection, 2 (3), 16-26. https://www.scirp.org/journal/paperinformation.aspx?paperid=46755

Peer-reviewed book chapters

  • Bhaduri, M. (2022). Establishing an inverse dependence between Hawaiian volcanoes through change-point detection. Advances in Geophysics, Tectonics and Petroleum Geosciences, Advances in Science, Technology and Innovation. 357-360. Springer Nature. https://doi.org/10.1007/978-3-030-73026-0_82
  • Bhaduri, M. (2022). On detecting changes in earthquake occurrence rates through trend reversal. Advances in Geophysics, Tectonics and Petroleum Geosciences, Advances in Science, Technology and Innovation. 173-176. Springer Nature. https://doi.org/10.1007/978-3-030-73026-0_40
  • Bhaduri, M. (2022). Modeling interactions among the West Atlantic hurricanes through empirical recurrence rates ratio-inspired hidden Markov chains. New Prospects in Environmental Geosciences and Hydrogeosciences, Advances in Science, Technology and Innovation. 33-36. https://doi.org/10.1007/978-3-030-72543-3_8

Peer-reviewed articles in conference proceedings

  • Bhaduri, M., Rangan, D., Balaji, A. (2021). Change detection in non-stationary Hawkes processes through sequential testing. ITM Web of Conferences/EDP Sciences, 36/The 16th IMT-GT International Conference on Mathematics, Statistics and their Applications. 01005. https://doi.org/10.1051/itmconf/20213601005
  • Bhaduri, M. (2021). On detecting structural breaks in cricket run-scoring through sequential time-switched hypothesis tests. The European Operational Research Society, University of Reading and Cardiff University, UK. http://www.mathsportinternational.com/MathSport2021Proceedings.pdf
  • Bhaduri, M. (2020). Quantifying the interesting-ness of a limited-over cricket match through empirical recurrence rates ratio-based change-detection analysis. ANZIAM Mathsport, 15th Australasian Conference on Mathematics and Computers in Sport, Victoria University, Wellington, New Zealand. 11-19. http://www.mathsportinternational.com/anziam/Mathsport%2015.pdf
  • Das, A., Bhaduri, M. (2020). Detecting changes in self-exciting point processes through trend reversal. JSM Proceedings, Section on Statistics and the Environment/American Statistical Association, 2020 Joint Statistical Meetings. 461-475.
  • Barker, J., Basnet, A., Bhaduri, M., Burch, C., Chow, A., Li, X., Oates, W., S.Massad, J., E.Smith, R. (2014). Photoresponsive polymer design for solar concentrator self-steering heliostats. Active and Passive Smart Structures And Integrated Systems. 2014, (9057). https://doi.org/10.1117/12.2045964

Peer-reviewed expository writing

Public appearances available online

Conference presentations

  • Bhaduri, M. (2025). “On detecting changes in certain random intensity-driven point processes through martingale-based repeated testing”.19th International Joint Conference CFE-CMStatistics.
  • Bhaduri, M. (2025). “Change points in functional time series using combinations of strong harmonics: Applications to measuring social media impacts of sponsoring large sporting tournaments”. INFORMS 2025, Atlanta.
  • Bhaduri, M. (2023). “Detecting structural breaks in certain random intensity-driven point processes through multiple testing” Department of Management Science and Statistics, University of Texas, San Antonio 2023 Alamo Symposium in Statistics University of Texas, San Antonio.
  • Bhaduri, M. (2023). “Distribution-free, online change detection in multidimensional point processes through repeated testing” Presented at the University of San Francisco 2023 Data Science Conference Data Science Institute, University of San Francisco, California.
  • Bhaduri, M. (2022). “Change detection in certain random intensity-driven point processes through repeated testing” Presented at the ICSA 2022 Applied Statistics Symposium University of Florida, Gainesville.
  • Bhaduri, M. (2022). “Detecting breaks in certain random intensities through sequential testing on point processes” Presented at the International association for statistical computing 24th international conference on computational statistics.
  • Bhaduri, M. (2022). “Changes in stochastic systems: detection plans and consequences” Presented at the Royal Statistical Society 2022 Young Statisticians’ Meeting.
  • Bhaduri, M. (2021). “Covid-19 wave analysis through change detection” Presented at the The Royal Statistical Society 2021 International Conference of the Royal Statistical Society Manchester, England.
  • Bhaduri, M. (2021). “Efficient change detection in point processes driven by data-dependent random intensities” Presented at the American Statistical Association (Section on Quality and Productivity) The 2021 Quality and Productivity research conference, Florida State University.
  • Bhaduri, M. (2021). “On estimating changes in cricket run-scoring through multiple testing” Presented at the The Association of European Operational Research Society 31st European Conference on Operational Research (OR in Sports stream) University of West Attica, Athens.
  • Sun, T., Sun, Y. T., Bhaduri, M. (2021). “On detecting changes in hurricane intensities through time-switched hypothesis testing” Presented at the The University of Granada 7th International Conference on Time Series and Forecasting Gran Canaria.
  • Bhaduri, M. (2021). “On change estimation in stochastic intensity-driven continuous time point processes through multiple testing” Presented at the International Statistical Institute 63rd ISI World Statistics Congress.
  • Bhaduri, M. (2021). “Applications of sequential change detection in continuous-time self-exciting point process forecasting” Presented at the International Institute of Forecasters 41st International Symposium on Forecasting.
  • Bhaduri, M. (2021). “On detecting structural breaks in cricket run-scoring through sequential time-switched hypothesis tests” Presented at the The European Operational Research Society (OR in Sports working group) The 8th MathSport International Conference University of Reading and Cardiff University, UK.
  • Bhaduri, M. (2020). “On change-detection in certain stochastic intensity-governed point processes through functions of switched trend and its applications to forecasting” Presented at the International Institute of Forecasters 40th International Symposium on Forecasting Rio de Janeiro.
  • Das, A., Bhaduri, M. (2020). “Detecting changes in self-exciting point processes through trend reversal” Presented at the American Statistical Association Joint Statistical Meetings, 2020 Philadelphia, Pennsylvania.
  • Bhaduri, M. (2020) “Quantifying the interesting-ness of a limited-over cricket match through Empirical Recurrence Rates Ratio based change detection analyses”. Presented at the 15th Australasian Conference on Mathematics and Computers in Sport, Victoria University, Wellington, New Zealand.
  • Bhaduri, M., Rangan, D., Balaji, A. (2020). “Change detection in non-stationary Hawkes processes through sequential testing” Presented at the Center for Mathematical Sciences, UTAR The 16th IMT-GT international conference on mathematics, statistics, and their applications Malaysia.
  • Bhaduri, M. (2019). “Establishing an inverse dependence between Hawaiian volcanoes through change-point detection.” Presented at the 2nd Springer International Conference of the Arabian Journal of Geosciences, Sousse, Tunisia.
  • Bhaduri, M. (2019). “Modeling interactions among West Atlantic hurricanes through Empirical Recurrence Rates Ratio inspired hidden Markov chains.” Presented at the 2nd Springer International Conference of the Arabian Journal of Geosciences, Sousse, Tunisia.
  • Bhaduri, M. (2019). “On detecting changes in the rate of earthquake occurrence through trend reversal.” Presented at the 2nd Springer International Conference of the Arabian Journal of Geosciences, Sousse, Tunisia.
  • Bhaduri, M. (2018). “Change detection under myriad non-stationarities with applications to volcanic interactions.” Presented at the Bentley University’s 6th Annual Research Showcase Poster Session, Waltham, Massachusetts.
  • Bhaduri, M. (2017). “On a Time Reversal Approach for Testing a Poisson Intensity Against Smooth and Rough Alternatives.” Presented at the American Statistical Assiciation’s Joint Statistical Meetings, Baltimore.
  • Bhaduri, M. (2017). “On Consequences of Time Reversal for Repairable Systems.” Presented at the UNLV Graduate College, GPSA’s UNLV Graduate and Professional students’ Research Forum, Las Vegas.
  • Bhaduri, M. (2016). “On the efficient interpretability of Empirical Recurrence Rates Ratio as a hidden markov chain.” Presented at the American Statistical Assiciation’s Joint Statistical Meetings, Chicago.
  • Bhaduri, M. (2016). “An Investigation into the Forecasting Power of Empirical Recurrence Rates and Ratios with Emphasis on Rare Event Modeling.” Presented at the UNLV Graduate College, GPSA’s UNLV Graduate and Professional students’ Research Forum, Las Vegas.
  • Bhaduri, M. (2015). “On a temporal investigation of hurricane strength and frequency.” Presented at the American Statistical Assiciation’s Joint Statistical Meetings, Seattle.
  • Bhaduri, M. (2015). “On an efficient class of smoothing statistics with applications to rare event modeling.” Presented at the UNLV Math Science’s UNLV Department of Mathematical Sciences’ Graduate Students’ Colloquium, Las Vegas.
  • Bhaduri, M. (2015). “On a statistical investigation of the dependence structure between two related time series: Application to hurricane frequency modeling.” Presented at the UNLV Graduate College, GPSA’s UNLV Graduate and Professional students’ Research Forum, Las Vegas.
  • Bhaduri, M. (2014). “On the comparison of two inversely related non-homogeneous Poisson processes.” Presented at the IISA’s IISA conference on Research Innovation in Statistics for Health, Education, Technology and Society, Riverside.
  • Bhaduri, M. (2012). “On the characterization of MaxEnt Density Functions under Non Shannon Entropies and some Related Problems.” Presented at the Indian Science Congress’s 99 th Indian Science Congress, Orissa, India.
  • Bhaduri, M. (2011). “On a Multistage Randomized Statistical test structure.” Presented at the Indian Science Congress’s 98th Indian Science Congress, Chennai, India.
  • Chandra, A., Bhattacharjee, M., Bhaduri, M. (2010). “Derivation of Optimal Order Quantity under constraints in Classical Newsboy Setup.” Presented at the Indian Science Congress’s 97th Indian Science Congress, Kerala, India.

Awards and recognitions

  • Longlisted (along with research assistant, Zahirodini, B.) for The stuff we cannot sweep under a torn carpet: Perfectly imperfect tessellations from slices of Maslow’s triangle., Information is Beautiful Awards, 2024, Data Visualization Society. https://www.informationisbeautifulawards.com/showcase/6756-the-stuff-we-cannot-sweep-under-a-torn-carpet-perfectly-imperfect-tessellations-from-slices-of-maslow-s-triangle
  • Longlisted (along with research assistant, Zahirodini, B.) for Pyramids of Priorities and a Poisoned Omen: Differing Hierarchies of Desired Business Ethics., Information is Beautiful Awards, 2024, Data Visualization Society. https://www.informationisbeautifulawards.com/showcase/6755-pyramids-of-priorities-and-a-poisoned-omen-differing-hierarchies-of-desired-business-ethics
  • BRC Research Grant (June 2025 – September 2025), Research Council, Bentley University.
  • Business in Society Faculty Research Grant (March 2025 – May 2025), Provost’s Office, Bentley University.
  • Faculty research grant (December 2024 – February 2025), Faculty Affairs Committee, Bentley University.
  • AMS-Simons research enhancement grant for PUI faculty, American Mathematical Society and the Simons Foundation, 2024. https://www.ams.org/grants-awards/ams_simons_pui.html
  • Nominated (unsolicited): for the Cronin Award for Excellence in Mentoring and Advising (Advisor/Mentor of the Year), during 2023, 2022; for the 2023 Gregory H. Adamian Award, the 2024 Gregory H. Adamian Award.
  • BRC Research Grant (September 2022-August 2023), joint with Curt Smith (Sociology), Research Council, Bentley University.
  • 2023 APEX Writing Award (“Public Health Concerns – Newspaper/Magazine/ Social Media Content” category.
  • Winner, “Visualise That!” competition, 2021, Young Statisticians’ section, Royal Statistical Society, London, England. https://www.youtube.com/watch?v=x5uFA8fkUcc
  • Outstanding Scholarly Contribution Award, Teaching and Scholarly Activities Committee, Bentley University, 2021.
  • Best paper award, the 16th IMT-GT international conference on mathematics, statistics and their applications, Center for Mathematical Sciences, UTAR, Malaysia, 2020.
  • Best presentation award, the 16th IMT-GT international conference on mathematics, statistics and their applications, Center for Mathematical Sciences, UTAR, Malaysia, 2020.
  • AMS-Simons research travel grant for early-career mathematicians, American Mathematical Society and Simons Foundation, 2020.
  • Best paper award, 2nd Springer International Conference of the Arabian Journal of Geosciences, Sousse, Tunisia, November 2019.
  • Summer research grant, Bentley University, 2019+
  • UNLV Outstanding Graduate Student Teaching Award (2nd place for the 2014-2015 academic year).
  • Wolzinger Family Research Scholarship (for Fall 2016 and Spring 2017), UNLV.
  • Nevada Regents’ Graduate Scholar Award (for 2018).
  • GPSA Merit Award (for the 2015 academic year), UNLV.
  • 2015 Marcelo Cruz Internship Award.
  • First place, Platform presentation (Science, Session B) at the 18th Annual Graduate and Professional Students’ Research Forum, UNLV, March 12, 2016
  • University of Nevada, Las Vegas’s GPSA funding and research grant for Summer 2015 and Summer 2016 cycles.
  • Honorable mention, Platform presentation (Science and Health Science, Session B) at the 19th Annual Graduate and Professional Students’ Research Forum, UNLV, April 8, 2017.
  • Graduate Medallion, Spring 2018. University of Nevada Las Vegas, Graduate College.
  • Graduate Teaching Assistantship, Fall 2012 – Spring 2018. Department of Mathematical Sciences, UNLV.
  • Top Tier Doctoral Graduate Research Assistantship, Summer 2017, Spring 2018. Department of Computer Science, UNLV.
  • Access Grant, Fall 2013 – Spring 2018, UNLV.
  • Visiting Student Research Fellowship, 2012, the Centre of Applicable Mathematics, Tata Institute of Fundamental Research, Bangalore, India.

Leadership and service

  • Editor, NextGen section, New England Journal of Statistics in Data Science https://journal.nestat.org/sections
  • Academic Editor, Editorial Board, Plos Complex Systems.
  • Reviewer, journals such as The American Statistician, International Review of Financial Analysis, SIAM Undergraduate Research Online, Physica A: Statistical mechanics and its applications, Pure and Applied Geophysics, Energies, Stochastic Environmental Research and Risk Assessment, BMC Supplements, etc.
  • Chair: Nominations committee (Bentley University, AY25-26), Tenure-track search committee (Dept. of Math Sciences, Bentley University, 2023-2024), Social Committee (Math Sciences, Bentley University, 2019 – 2022).
  • Elected Member: PhD Council (Bentley University, 2025+), Teaching and Scholarly Activities committee (Bentley University, 2022-2024), PhD curriculum committee (Math Sciences, Bentley University, 2022).
  • Member: Research committee (Math, Bentley University, 2019+), Tenure-track search committee, lecturer search committee (Math, Bentley University, 2022 – 2023, 2021 – 2022), NextGen committee (New England Statistical Society, 2019+), Top Tier Graduate Policies, Procedures and Mentorship Committee (UNLV, Fall 2016 and Spring 2017).

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