Please see my Google Scholar profile for an exhaustive list.
Chronological
Preprints
“Group Decision-Making among Privacy-Aware Agents”, with M. Papachristou. Submitted, 2024. [arXiv:2402.08156] [SSRN:4726578] [TOC4Fairness Seminar] [PPAI-24] [Tweet]
“Seeding with Differentially Private Network Information”, with F.-Y. Yu and C. Hurtado. Submitted, 2024. [arXiv:2305.16590] [GitHub] [Tweet]
“Production Networks Resilience: Cascading Failures, Power Laws and Optimal Interventions”, with M. Papachristou, 2024. [arXiv:2303.12660] [SSRN:4392226] [GitHub] [Tweet]
[ Conference on Network Science and Economics, The University of Minnesota, Twin Cities]
Journals
“Differentially Private Distributed Estimation and Learning”, with M. Papachristou. IISE Transactions, 2024. [IISE T&F (full-text access)] [arXiv:2306.15865] [GitHub] [TOC4Fairness Seminar] [Tweet]
“Algorithmically Mediating Communication to Enhance Collective Decision-Making in Online Social Networks”, with J. Burton, A. Almaatouq and U. Hahn. Collective Intelligence, Volume 3, Number 2, 2024. [SAGE journals] [ Most Inspiring Research Paper Award at 9th ACM Collective Intelligence Conference, 2021, Copenhagen, DK ] [ video, 3' ] [ graphical abstract ] [Pitt SSOE]
“Long Ties Accelerate Noisy Threshold-Based Contagions”, with D. Eckles, E. Mossel and S. Sen. Nature Human Behaviour, 2024. [Nature (full-text access )] [Nature Research Briefing] [arXiv:1810.03579] [SSRN:3262749] [GitHub] [YouTube playlist] [Pitt SSOE] [ Conference on Network Science and Economics, The University of Chicago] [Tweet]
“Diagnosis of T-cell-mediated kidney rejection by biopsy-based proteomic biomarkers and machine learning”, with K. Xiao, et al. Front. Immunol., Sec. Alloimmunity and Transplantation, Volume 14, 2023. [frontiers]
“Providing normative information increases intentions to accept a COVID-19 vaccine”, with A. Moehring, A. Collis, K. Garimella, S. Aral and D. Eckles. Nature Communications, Volume 14, 2023, Article Number 126. [Nature] [SSRN:3782082] [PsyArXiv:srv6t] [Los Angeles Times] [MIT Sloan] [MIT News] [Pitt SSOE] [Tweet]
“The Distribution of Initial Estimates Moderates the Effect of Social Influence on the Wisdom of the Crowd”, with A. Almaatouq, J. W. Burton, and A. Alhajri. Nature Scientific Reports, Volume 12, 2022, Article Number 16546. [Nature] [arXiv:2006.12471] [SSRN:3633309] [PsyArXiv:f5ky3] [GitHub]
“Global survey on COVID-19 beliefs, behaviors, and norms”, with D. Eckles, et al. Nature Human Behaviour, Volume 6, 2022, Pages 1310-1317. [Nature] [OSF] [MIT COVID Survey] [Facebook Data for Good]
“Seeding with Costly Network Information”, with D. Eckles, H. Esfandiari, and E. Mossel, Operations Research, Volume 70, Issue 4, 2022, Pages 2318-2348. [INFORMS] [arXiv:1905.04325] [SSRN:3386417] [ACM:3329651 (EC’19 abstract)] [video, 50'] [video, 15'] [GitHub] [SICS - Summer Institute in Competitive Strategy, UC Berkeley]
“Bayesian Decision Making in Groups is Hard”, with J. Hązła, A. Jadbabaie, and E. Mossel. Operations Research, Volume 69, Issue 2, 2021, Pages 632-654. [INFORMS] [arXiv:1705.04770] [SSRN:3055954] [Tweet]
“Interdependence and the Cost of Uncoordinated Responses to COVID-19”, with S. Aral, et al. Proceedings of the National Academy of Sciences, Volume 117, Issue 33, 2020, Pages 19837-19843. [PNAS] [MIT IDE] [MSNBC] [yahoo finance] [The Boston Globe] [WGBH] [The Hill]
“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 ]
“Bayesian Learning without Recall”, with A. Jadbabaie. IEEE Transactions on Signal and Information Processing over Networks, Volume 3, Issue 3, 2017, Pages 592-606. [Video] [arXiv:1601.06103] [IEEE:7752898]
“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]
“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]
“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]
“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]
“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]
“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]
“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]
“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]
“Data Acquisition Latency in Dynamic Localization: A Weighted Least Squares Approach”, with S. Ohyama. Sensors & Transducers, Volume 138, Number 3, 2012, Pages 88-103. [International Frequency Sensor Association (IFSA) ]
“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 ]
Conferences
“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.
“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.
“Optimized Model Selection for Estimating Treatment Effects from Costly Simulations of the US Opioid Epidemic”, with A. A. Ahamd and M. S. Roberts. Annual Modeling and Simulation Conference (ANNSIM), May 20-23, 2024, Washington D.C, USA. [arXiv:2403.15755] [GitHub]
“Inferring Epidemic Dynamics Using Gaussian Process Emulation of Agent-based Simulations”, with A. A. Ahamd 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. Ahamd 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]
“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]
“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]
“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] [Tweet]
“Time-constrained Data Collection for Seeding Time-critical Interventions”, with M. S. Anwar and D. Eckles. INFORMS Annual Meeting, 2021.
“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.
“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.
“Rewiring the Wisdom of the Crowd”, with J. W. Burton, A. Almaatouq and U. Hahn. In Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021, Vienna, AT. [ 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]
“Reasoning in Bayesian Opinion Exchange Networks Is PSPACE-Hard”, with J. Hązła, A. Jadbabaie and E. Mossel. COLT 2019. [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 America Control Conference, July 6-8, 2016, Boston, MA, USA. [Student Best Paper Award Finalist, Extended version: arXiv:1611.01006] [IEEE:7525055]
“Controllability Gramian Spectra of Random Networks”, with V.M. Preciado. In Proceedings of the 2016 America 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] [SienceDirect]
“Minimal Actuator Placement with Optimal Control Constraints”, with A. Jadbabaie, G. J. Pappas and V. Tzoumas. In Proceedings of the 2015 America 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 America 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] [Penn]
“Failure Analysis in Multi-Agent Networks: A Graph-Theoretic Approach”, M. A. Rahimian, Masters Thesis, Concordia University, 2012. [Concordia] [two-minute]
Topical
Information, Inference, and Interventions in Social Systems
[1.1] “Seeding with Costly Network Information”, with D. Eckles, H. Esfandiari, and E. Mossel. Operations Research, Volume 70, Issue 4, 2022, Pages 2318-2348. [INFORMS] [arXiv:1905.04325] [SSRN:3386417] [ACM:3329651 (EC’19 abstract)] [video, 50'] [video, 15'] [GitHub] [SICS]
[1.2] “Long Ties Accelerate Noisy Threshold-Based Contagions”, with D. Eckles, E. Mossel, and S. Sen. Accepted at Nature Human Behaviour, 2023. [Nature (full-text access)] [arXiv:1810.03579] [SSRN:3262749] [GitHub] [YouTube playlist] [ Conference on Network Science and Economics, The University of Chicago] [Tweet]
[1.3] “Interdependence and the Cost of Uncoordinated Responses to COVID-19”, with S. Aral, et al. Proceedings of the National Academy of Sciences, Volume 117, Issue 33, 2020, Pages 19837-19843. [PNAS] [MIT IDE] [MSNBC] [yahoo finance] [The Boston Globe] [WGBH] [The Hill]
[1.4] “Providing normative information increases intentions to accept a COVID-19 vaccine”, with A. Moehring, A. Collis, K. Garimella, S. Aral and D. Eckles. Nature Communications, Volume 14, 2023, Article Number 126. [Nature] [SSRN:3782082] [PsyArXiv:srv6t] [Los Angeles Times] [MIT Sloan] [MIT News] [Pitt SSOE] [Tweet]
[1.5] “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.
[1.6] “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.
[1.7] “Time-constrained Data Collection for Seeding Time-critical Interventions”, with M. S. Anwar and D. Eckles. INFORMS Annual Meeting, 2021.
[1.8] “Global survey on COVID-19 beliefs, behaviors, and norms”, with D. Eckles, et al. Nature Human Behaviour, Volume 6, 2022, Pages 1310-1317. [Nature] [OSF] [MIT COVID Survey] [Facebook Data for Good]
[1.9] “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]
[1.10] “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]
Group Decision Making, Social Learning, and Collective Intelligence
[2.1] “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, 2021, Vienna, AT. [ CogSci Society eScholarship ] [ video, 3' ]
“Algorithmically Mediating Communication to Enhance Collective Decision-Making in Online Social Networks”, with J. Burton, A. Almaatouq and U. Hahn. Collective Intelligence, Volume 3, Number 2, 2024. [SAGE journals] [ video, 3' ] [ graphical abstract ] [Pitt SSOE] [ Most Inspiring Research Paper Award at 9th ACM Collective Intelligence Conference, 2021, Copenhagen, DK ] [ 3-pager ] [ graphical abstract ] [Pitt SSOE]
[2.3] “The Distribution of Initial Estimates Moderates the Effect of Social Influence on the Wisdom of the Crowd”, with A. Almaatouq, J. W. Burton, and A. Alhajri. Nature Scientific Reports, Volume 12, 2022, Article Number 16546. [Nature] [arXiv:2006.12471] [SSRN:3633309] [PsyArXiv:f5ky3] [GitHub]
[2.4] “Bayesian Decision Making in Groups is Hard”, with J. Hązła, A. Jadbabaie and E. Mossel. Operations Research, Volume 69, Issue 2, 2021, Pages 632-654. [INFORMS] [arXiv:1705.04770] [SSRN:3055954] [Tweet]
[2.5] “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 ]
[2.6] “Bayesian Learning without Recall”, with A. Jadbabaie. IEEE Transactions on Signal and Information Processing over Networks, Volume 3, Issue 3, 2017, Pages 592-606. [Video] [arXiv:1601.06103] [IEEE:7752898]
[2.7] “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]
[2.8] “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] [SienceDirect]
[2.9] “Learning without Recall from Actions of Neighbors”, with A. Jadbabaie. In Proceedings of the 2016 America Control Conference, July 6-8, 2016, Boston, MA, USA. [Student Best Paper Award Finalist, Extended version: arXiv:1611.01006] [IEEE:7525055]
[2.10] “Switching to Learn”, with A. Jadbabaie and S. Shahrampour. In Proceedings of the 2015 America Control Conference, July 1-3, 2015, Chicago, IL, USA. [arXiv:1503.03517] [IEEE:7171178]
[2.11] “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]
[2.12] “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] [Tweet]
Control, Analysis, and Design of Networks
[3.1] “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]
[3.2] “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]
[3.3] “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]
[3.4] “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]
[3.5] “Minimal Actuator Placement with Optimal Control Constraints”, with A. Jadbabaie, G. J. Pappas and V. Tzoumas. In Proceedings of the 2015 America Control Conference, July 1-3, 2015, Chicago, IL, USA. [arXiv:1503.04693] [IEEE:7171040]
[3.6] “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]
[3.7] “Spectral Moments of Random Matrices with a Rank-One Pattern of Variances”, with V. M. Preciado. unpublished. [arXiv:1409.5396]
[3.8] “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 ]
[3.9] “Controllability Gramian Spectra of Random Networks”, with V.M. Preciado. In Proceedings of the 2016 America Control Conference, July 6-8, 2016, Boston, MA, USA. [Proofs are in arXiv:1609.04727] [IEEE:7525517]
[3.10] “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]
Controller Design and Tuning
[4.1] “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]
[4.2] “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]
[4.3] “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]
[4.4] “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]
[4.5] “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 ]