Amin Rahimian, Publications

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Please see my Google Scholar profile for an exhaustive list.

Chronological

Preprints

Journals

Conferences

  • “Structural Dynamics of Harmful Content Dissemination on WhatsApp”, with Y. Liu and K. Garimella. In Proceedings of the International AAAI Conference on Web and Social Media (ICWSM), May 27-29, 2026, Los Angeles, CA, USA, Vol. 20, pp. 1505-1517. [AAAI] [arXiv:2505.18099] [SSRN:5501478] [GitHub] [earlier version: IC2S2 2024]

  • “Privacy at Scale in Networked Healthcare”, with B. Panny and J. Joshi. In Proceedings of the IEEE 7th International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA), November 11, 2025, pp. 551-560. [IEEE:11410231] [arXiv:2601.04298]

  • “Differentially Private Sequential Learning”, with Y. Liu. In Proceedings of the Sixth Annual Symposium on Foundations of Responsible Computing (FORC), June 4-6, 2025, LIPIcs Vol. 329, pp. 18:1-18:6. [LIPIcs] [full manuscript: arXiv:2502.19525]

  • “Virality of Information Diffusion on WhatsApp”, with Y. Liu and K. Garimella. International Conference on Computational Social Science (IC2S2), July 18-20, 2024, Philadelphia, USA. [OpenReview] [PDF] [extended version: ICWSM 2026]

  • “Extended Persistent Homology Distinguishes Simple and Complex Contagions with High Accuracy”, with V. Shamsaddini. International School and Conference on Network Science (NetSci), June 16-21, 2024, Québec city, Canada. [full manuscript: arXiv:2505.00958]

  • “Optimized Model Selection for Estimating Treatment Effects from Costly Simulations of the US Opioid Epidemic”, with A. A. Ahmed and M. S. Roberts. Annual Modeling and Simulation Conference (ANNSIM), May 20-23, 2024, Washington D.C, USA. [IEEE:10732300] [arXiv:2403.15755] [GitHub]

  • “Inferring Epidemic Dynamics Using Gaussian Process Emulation of Agent-based Simulations”, with A. A. Ahmed and M. S. Roberts. Winter Simulation Conference (WSC), December 10-13, 2023, San Antonio, TX. [ACM:3643142.3643206] [IEEE:10408157] [arXiv:2307.12186] [GitHub]

  • “Estimating Treatment Effects Using Costly Simulation Samples from a Population-Scale Model of Opioid Use Disorder”, with A. A. Ahmed and M. S. Roberts. In Proceedings of IEEE International Conference on Biomedical and Health Informatics (BHI), October 15-18, 2023, Pittsburgh, PA. [IEEE:10313496] [BHI] [arXiv:2308.13040] [GitHub]

  • “Harassment, Civic Unraveling, and Democratic Resilience in the Face of Technology Shocks”, with M. Colaresi. Center for Informed Democracy & Social-cybersecurity (IDeaS) Conference, Carnegie Mellon University, September 20-23, 2023, Pittsburgh, PA. [IDeaS] [extended version: CMOT 2025]

  • “Differentially Private Network Data Collection for Influence Maximization”, with F.-Y. Yu and C. Hurtado. In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 29-June 2, 2023, London, UK. [ACM:3545946.3599081]

  • “Welfare-guided Seeding with Time-constrained Data Collection”, with C. Hurtado, M. S. Anwar and D. Eckles. The second ACM conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO'22), 2022. [EAAMO poster]

  • “Differentially Private Influence Maximization with Limited Data”, with F.-Y. Yu. Theory and Practice of Differential Privacy Baltimore - 22 July 2022 - part of ICML 2022. [TPDP]

  • “Influence of Repetition through Limited Recall”, with J. Sassine and D. Eckles. In Proceedings of the International AAAI Conference on Web and Social Media (ICWSM), June 6-9, 2022, Atlanta, GA, USA. [arXiv:2204.08741] [AAAI] [thread]

  • “Adaptive Robust Stochastic Optimization of Product–Supply Chain Co-Design subject to Shocks”, with C. Hurtado and M. Sherwin. In Proceedings of the IISE Annual Conference & Expo 2022. [ProQuest]

  • “Deep learning for Simulation-based Bayesian inference of Hidden Parameters in Online Reputation Systems”, with S. Banerjee and N. Mukherjee. In Proceedings of the KDD 2021 Workshop on Machine Learning for Consumers and Markets, and the Second Annual Artificial Intelligence in Management Conference at USC Marshall, 2022.

  • “Time-constrained Data Collection for Seeding Time-critical Interventions”, with M. S. Anwar and D. Eckles. INFORMS Annual Meeting, 2021.

  • “Rewiring the Wisdom of the Crowd”, with J. W. Burton, A. Almaatouq and U. Hahn. In Proceedings of the 43rd Annual Conference of the Cognitive Science Society, July 26-29, 2021 (virtual). [ CogSci Society eScholarship ] [ video, 3' ]

  • “Algorithmically Mediating Communication to Enhance Collective Decision-Making in Online Social Networks”, with J. W. Burton, U. Hahn and A. Almaatouq. In Proceedings of the 9th ACM Collective Intelligence Conference, 2021, Copenhagen, DK. [ Most Inspiring Research Paper Award ] [3-pager] [ graphical abstract ] [Pitt SSOE] [extended version: Collective Intelligence 2024]

  • “Surfacing Norms To Increase Vaccine Acceptance: Evidence From An International Experiment”, with A. Moehring, A. Collis, K. Garimella, S. Aral and D. Eckles. INFORMS Marketing Science Conference, 2021. [published version: Nature Communications 2023]

  • “Reasoning in Bayesian Opinion Exchange Networks Is PSPACE-Hard”, with J. Hązła, A. Jadbabaie and E. Mossel. In Proceedings of the 2019 Conference on Learning Theory. [arXiv:1809.01077] [ PMLR ]

  • “Group Decision Making and Social Learning”, with A. Jadbabaie. In Proceedings of the 55th IEEE Conference on Decision and Control, Dec. 12-14, 2016, Las Vegas, USA. [IEEE:7799314, Tutorial]

  • “Hindsight Bias Impedes Learning”, with S. Mahdavi. In Proceedings of NIPS 2016 Workshop on Imperfect Decision Makers: Admitting Real-World Rationality, 2016, Barcelona, Spain. [PMLR]

  • “Distributed Estimation and Learning Over Heterogeneous Networks”, with A. Jadbabaie. In Proceedings of the 54th Annual Allerton Conference on Communication, Control, and Computing, Sept. 28-30, 2016, the University of Illinois at Urbana-Champaign, USA. [arXiv:1611.03328] [IEEE:7852386]

  • “Learning without Recall from Actions of Neighbors”, with A. Jadbabaie. In Proceedings of the 2016 American Control Conference, July 6-8, 2016, Boston, MA, USA. [Student Best Paper Award Finalist, Extended version: “Bayesian Heuristics for Group Decisions” (arXiv:1611.01006)] [IEEE:7525055]

  • “Controllability Gramian Spectra of Random Networks”, with V.M. Preciado. In Proceedings of the 2016 American Control Conference, July 6-8, 2016, Boston, MA, USA. [Proofs are in arXiv:1609.04727] [IEEE:7525517]

  • “Learning without Recall by Random Walks on Directed Graphs”, with S. Shahrampour and A. Jadbabaie. In Proceedings of the 54th IEEE Conference on Decision and Control, Dec. 15-18, 2015, Osaka, Japan. [arXiv:1509.04332] [IEEE:7403087]

  • “Learning without Recall: A Case for Log-Linear Learning”, with A. Jadbabaie. In Proceedings of the 5th IFAC Workshop on Estimation and Control of Networked Systems, Sept. 10-11, 2015, Philadelphia, PA, USA. [arXiv:1509.08990] [ScienceDirect]

  • “Minimal Actuator Placement with Optimal Control Constraints”, with A. Jadbabaie, G. J. Pappas and V. Tzoumas. In Proceedings of the 2015 American Control Conference, July 1-3, 2015, Chicago, IL, USA. [arXiv:1503.04693] [IEEE:7171040]

  • “Switching to Learn”, with A. Jadbabaie and S. Shahrampour. In Proceedings of the 2015 American Control Conference, July 1-3, 2015, Chicago, IL, USA. [arXiv:1503.03517] [IEEE:7171178]

  • “Controllability and Fraction of Leaders in Infinite Networks”, with C. Enyioha, A. Jadbabaie and G. J. Pappas. In Proceedings of the 53rd IEEE Conference on Decision and Control, Dec. 15-17, 2014, Los Angeles, CA, USA. [arXiv:1410.1830] [IEEE:7039571]

Theses

  • “Learning and Decision Making in Groups”, M. A. Rahimian, Doctoral Dissertation, University of Pennsylvania, 2017. [ProQuest] [Full text]

  • “Failure Analysis in Multi-Agent Networks: A Graph-Theoretic Approach”, M. A. Rahimian, Masters Thesis, Concordia University, 2012. [Concordia]

Topical

Information, Inference, and Intervention Design for Sustainable and Resilient Sociotechnical Systems

Privacy of Interconnected Learning Systems and Operations

Public Health Dynamics, Operations and Policy

Group Decision Making, Social Learning, and Collective Intelligence

Control, Analysis, and Design of Networked Dynamical Systems

  • [5.1]“Detection and Isolation of Failures in Directed Networks of LTI Systems”, with V. M. Preciado. IEEE Transactions on Control of Network Systems, Volume 2, Number 2, 2015, Pages 183-192. [arXiv:1408.3164] [IEEE:6979226]

  • [5.2]“Digraphs with Distinguishable Dynamics under the Multi-Agent Agreement Protocol”, with A. G. Aghdam and A. Ajorlou. Asian Journal of Control, Volume 16, Issue 5, 2014, Pages 1300-1311. [arXiv:1611.09987] [Wiley]

  • [5.3]“Structural Controllability of Multi-Agent Networks: Robustness against Simultaneous Failures”, with A. G. Aghdam. Automatica, Volume 49, Issue 11, 2013, Pages 3149-3157. [arXiv:1611.10007] [ScienceDirect]

  • [5.4]“Minimal Actuator Placement with Bounds on Control Effort”, with A. Jadbabaie, G. J. Pappas, and V. Tzoumas. IEEE Transactions on Control of Network Systems, Volume 3, Number 1, 2016, Pages 67-78. [arXiv:1409.3289] [IEEE:7122316]

  • [5.5]“Minimal Actuator Placement with Optimal Control Constraints”, with A. Jadbabaie, G. J. Pappas and V. Tzoumas. In Proceedings of the 2015 American Control Conference, July 1-3, 2015, Chicago, IL, USA. [arXiv:1503.04693] [IEEE:7171040]

  • [5.6]“Distributed Estimation and Learning Over Heterogeneous Networks”, with A. Jadbabaie. In Proceedings of the 54th Annual Allerton Conference on Communication, Control, and Computing, Sept. 28-30, 2016, the University of Illinois at Urbana-Champaign, USA. [arXiv:1611.03328] [IEEE:7852386]

  • [5.7]“Spectral Moments of Random Matrices with a Rank-One Pattern of Variances”, with V. M. Preciado. Unpublished preprint, 2014 (revised 2017). [arXiv:1409.5396]

  • [5.8]“Moment-Based Spectral Analysis of Random Graphs with Given Expected Degrees”, with V. M. Preciado. IEEE Transactions on Network Science and Engineering, Volume 4, Issue 4, 2017, Pages 215-228. [Outstanding Poster Award in the 2016 Stochastic Networks Conference] [arXiv:1512.03489] [ IEEE:7940092 ]

  • [5.9]“Controllability Gramian Spectra of Random Networks”, with V.M. Preciado. In Proceedings of the 2016 American Control Conference, July 6-8, 2016, Boston, MA, USA. [Proofs are in arXiv:1609.04727] [IEEE:7525517]

  • [5.10]“Controllability and Fraction of Leaders in Infinite Networks”, with C. Enyioha, A. Jadbabaie and G. J. Pappas. In Proceedings of the 53rd IEEE Conference on Decision and Control, Dec. 15-17, 2014, Los Angeles, CA, USA. [arXiv:1410.1830] [IEEE:7039571]

Design, Analysis, and Tuning of Feedback Controllers

  • [6.1]“Improving Integral Square-Error Performance with Implementable Fractional-Order PI Controllers”, with M. S. Tavazoei. Optimal Control Applications and Methods, Volume 35, Issue 3, 2014, Pages 303-323. [Wiley]

  • [6.2]“Optimal Tuning for Fractional-Order Controllers: An Integer-Order Approximating Filter Approach”, with M. S. Tavazoei. ASME Journal of Dynamic Systems, Measurement, and Control, Volume 135, Number 2, 2013, Pages 021017(1-11). [ASME]

  • [6.3]“Constrained Tuning of Two-Parameter Controllers: A Centroid Approach”, with M. S. Tavazoei. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, Volume 226, Number 5, 2012, Pages 685-698. [SAGE journals]

  • [6.4]“Application of Stability Region Centroids in Robust PI Stabilization of a Class of Second-Order Systems”, with M. S. Tavazoei. Transactions of the Institute of Measurement and Control, Volume 34, Number 4, 2012, Pages 487-498. [SAGE journals]

  • [6.5]“Stabilizing Fractional-Order PI and PD Controllers: An Integer-Order Implemented System Approach”, with M. S. Tavazoei. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, Volume 224, Number 8, 2010, Pages 893-903. [SAGE journals ]