Publications

Preprints/Under review:

• A lasso-alternative to Dijkstra’s algorithm for identifying short paths in networks
  Anqi Dong, Amirhossein Taghvaei, Tryphon T. Georgiou

• Stochastic thermodynamic engines under time-varying temperature profile
  Rui Fu, Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou

• Minimal entropy production in the presence of anisotropic temperature fields
  Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou

Journal publications:

• A Matching Principle for Power Transfer in Stochastic Thermodynamics (arXiv)
  IEEE Control Systems Letters, vol. 7, pp. 2107-2112, 2023
  Olga Movilla Miangolarra, Amirhossein Taghvaei, Tryphon T. Georgiou

• A Survey of Feedback Particle Filter and related Controlled Interacting Particle Systems (CIPS)(arXiv) Annual Reviews in Control, Volume 55, 2023, Pages 356-378.
  Amirhossein Taghvaei, Prashant G. Mehta.

• An optimal control approach to particle filtering (arXiv)
  Automatica, Volume 151, 2023, 110894.
  Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen

• Inertialess Gyrating Engines (arXiv)
  PNAS Nexus, Volume 1, Issue 5, November 2022
  Jordi V. Siches, Olga M. Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou

• Controlled Interacting Particle Algorithms for Simulation-based Reinforcement Learning (arXiv)
  Systems & Control Letters, Volume 170, 2022
  Anant Joshi, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn

• Geometry of finite-time thermodynamic cycles with anisotropic thermal fluctuations (arXiv)
  IEEE Control Systems Letters, vol. 6, pp. 3409-3414, 2022
  Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou

• Thernodynamic engine powered by anisotropic fluctuations (arXiv)
  Phys. Rev. Research, 4, 023218, Jun 2022
  Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou

• Energy harvesting from anisotropic fluctuations (arXiv)
  Phys. Rev. E 104, 044101, Oct 2021
  Olga Movilla Miangolarra, Amirhossein Taghvaei, Rui Fu, Yongxin Chen, Tryphon T. Georgiou

• Optimal Transportation Methods in Nonlinear Filtering: The feedback particle filter (arXiv)
  IEEE Control Systems Magazine (CSM), vol. 41, no. 4, pp. 34-49, Aug. 2021
  Amirhossein Taghvaei and Prashant G. Mehta

• On the Lyapunov Foster criterion and Poincare inequality for Reversible Markov Chains) (arXiv)
  Transactions of Automatic Control (TAC), vol. 41, no. 5, pp. 2605-2609, 2021
  Amirhossein Taghvaei and Prashant G. Mehta

• Underdamped stochastic thermodynamic engines in contact with a heat bath with arbitrary temperature profile (arXiv) Phys. Rev. E 103, 062103, June 2021
  Olga Movilla Miangolarra, Rui Fu, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou

• On the relation between information and power in stochastic thermodynamic engines (arXiv)
  IEEE Control Systems Letters (L-CSS), vol. 6, pp. 434-439, 2022
  Amirhossein Taghvaei, Olga Movilla Miangolarra, Rui Fu, Yongxin Chen, Tryphon T. Georgiou

• Feedback particle filter for collective inference (arXiv)
  Foundations of Data Science (FoDS) on Data Assimilation, 3(3), 543:561, 2021
  Jin Won Kim, Amirhossein Taghvaei, Yongxin Chen, Prashant G. Mehta

• Maximal power output of a stochastic thermodynamic engine (arXiv )
  Automatica, 123:109366, 2021
  Rui Fu, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou

• An optimal transport formulation of the ensemble Kalman filter (arXiv)
  Transactions of Automatic Control (TAC), vol. 66, no. 7, pp. 3052-3067, July 2021
  Amirhossein Taghvaei and Prashant G. Mehta

• Fractional SIR Epidemiological Models
  Scientefic Reports, 10(1):20882, 2020
  Amirhossein Taghvaei, Tryphon T. Georgiou, Larry Norton, Allen R. Tannenbaum

• Diffusion map-based algorithm for gain function approximation in the feedback particle filter (arXiv) SIAM/ASA Journal on Uncertainty Quantification, 8(3):1090–1117, 2020 Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn

• A mean-field optimal control formulation for global optimization (arXiv)
  IEEE Transactions on Automatic Control (TAC), 64, no. 1, pp. 282-289, Jan. 2019
  Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta

• Kalman filter and its modern extensions for the continuous-time nonlinear filtering problem (arXiv)
  Journal of Dynamic Systems, Measurement, and Control, 140(3):030904, 2018
  Amirhossein Taghvaei, Jana de Wiljes, Prashant G. Mehta, and Sebastian Reich

• Feedback Particle Filter on Riemannian Manifolds and Matrix Lie groups (arXiv)
  IEEE Transactions on Automatic Control (TAC), 63(8):2465–2480, 2018
  Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta

Machine Learning Conferences:

• Variational Wasserstein gradient flow (arXiv)
  International Conference of Machine Learning (ICML), PMLR 162:6185-6215, 2022 Jiaojiao Fan, Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen

• Scalable computations of Wasserstein barycenter via input convex neural networks (arXiv)
  International Conference of Machine Learning (ICML), PMLR 139:1571-1581, 2021 Jiaojiao Fan, Amirhossein Taghvaei, Yongxin Chen

• Optimal transport mapping via input-convex neural networks (arXiv)
  International Conference on Machine Learning (ICML), PMLR 119:6672-6681, 2020
  Ashok Makkuva, Amirhossein Taghvaei, Sewoong Oh, Jason Lee

• Accelerated flow for probability distributions (arXiv)
  International Conference on Machine Learning (ICML), PMLR 97:6076-6085, 2019
  Amirhossein Taghvaei, Prashant G. Mehta

• How regularization affects the critical points in linear neural networks (arXiv)
  Advances in Neural Information Processing Systems (NeurIPS), 2502–2512, Long Beach, December 2017
  Amirhossein Taghvaei, Jin W. Kim, Prasshant G. Mehta

Control Conferences:

• Optimal Transport Particle Filters
  IEEE Conference on Decision and Control (CDC), Singapore, 2023 (accepted)
  Mohammad Al-Jarrah, Amirhossein Taghvaei, Bamdad Hosseini

• A Matching Principle for Power Transfer in Stochastic Thermodynamics
  IEEE Conference on Decision and Control (CDC), Singapore, 2023 (accepted)
  Olga Movilla Miangolarra, Amirhossein Taghvaei, Tryphon T. Georgiou

• Duality-Based Stochastic Policy Optimization for Estimation with Unknown Noise Covariances (arXiv) IEEE American Control Conference (ACC), San Diego, 2023
  Shahriar Talebi, Amirhossein Taghvaei, Mehran Mesbahi.

• Minimal entropy production in anisotropic temperature fields (arXiv)
  IEEE American Control Conference (ACC), San Diego, 2023
  Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou

• An Optimal Transport Formulation of Bayes’ Law for Nonlinear Filtering Algorithms (arXiv)
  IEEE Conference on Decision and Control (CDC), Cancun, Mexico, 2022
  Amirhossein Taghvaei, Bamdad Hosseini

• Geometry of finite-time thermodynamic cycles with anisotropic thermal fluctuations(arXiv)
  IEEE Conference on Decision and Control (CDC), Cancun, Mexico, 2022
  Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou

• Optimality vs Stability Trade-off in Ensemble Kalman Filters(arXiv)
  25th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2022), Bayreuth, Germany, 2022
  Amirhossein Taghvaei, Prashant G. Mehta, Tryphon T. Georgiou

• On the relation between information and power in stochastic thermodynamic engines(arXiv)
  IEEE Conference on Decision and Control (CDC), Austin, December 2021
  Amirhossein Taghvaei, Olga Movilla Miangolarra, Rui Fu, Yongxin Chen, Tryphon T. Georgiou

• Lasso formulation of the shortest path problem (arXiv)
  IEEE Conference on Decision and Control (CDC), 402-407, Jeju Island, Republic of Korea, December 2020
  Anqi Dong, Amirhossein Taghvaei, Tryphon T. Georgiou

• Harvesting energy from a periodic heat bath (arXiv)
  IEEE Conference on Decision and Control (CDC), 3034-3039, Jeju Island, Republic of Korea, December 2020
  Rui Fu, Olga Movilla, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou

• Deep FPF: Gain function approximation in high-dimensions (arXiv)
  IEEE Conference on Decision and Control (CDC), 4790-4795, Jeju Island, Republic of Korea, December 2020
  S. Yagiz Olmez, Amirhossein Taghvaei, Prashant G. Mehta

• Bio-inspired Learning of Sensorimotor Control for Locomotion (arXiv)
  IEEE American Control Conference (ACC), 2188–2193, Denver, July 2020
  Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta

• Q-learning for POMDP: An application to learning locomotion gaits (arXiv)
  IEEE Conference on Decision and Control (CDC), 2758–2763, Nice, France, December 2019
  Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta

• An approach to duality in nonlinear filtering (arXiv)
  IEEE American Control Conference (ACC), 5360–5365, Philadelphia, July 2019
  Jin W. Kim, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn

• Error analysis of the stochastic linear feedback particle filter (arXiv)
  IEEE Conference on Decision and Control (CDC), 7194–7199, Miami, December 2018
  Amirhossein Taghvaei, Prashant G. Mehta

• Derivation and Extensions of the Linear Feedback Particle Filter based on Duality Formalisms (arXiv)
  IEEE Conference on Decision and Control (CDC), 7188–7193, Miami, December 2018
  Jin W. Kim, Amirhossein Taghvaei, Prashant G. Mehta

• Error analysis of the linear feedback article filter (arXiv)
  IEEE American Control Conference (ACC), 4261–4266, Milwaukee, June 2018
  Amirhossein Taghvaei, Prashant G. Mehta

• Error Estimates for the Kernel Gain Function Approximation in the Feedback Particle Filter (arXiv)
  IEEE American Control Conference (ACC), 4576–4582, Seattle, May 2017
  Amirhossein Taghvaei, Prashant G. Mehta. S. P. Meyn

• Attitude Estimation of a Wearable Motion Sensor
  IEEE American Control Conference (ACC), 4570–4575, Seattle, May 2017
  Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta

• Gain Function Approximation in the Feedback Particle Filter (arXiv)
  IEEE Conference on Decision and Control (CDC), 5446–5452 Las Vegas, December 2016
  Amirhossein Taghvaei, Prashant G. Mehta

• Attitude Estimation with Feedback Particle Filter
  IEEE Conference on Decision and Control (CDC), 5440–5445, Las Vegas, December 2016
  Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta

• An Optimal Transport Formulation of Linear Feedback Particle Filter (arXiv)
  IEEE American Control Conference (ACC), 3614–3619, Boston, June 2016
  Amirhossein Taghvaei, Prashant G. Mehta

• Feedback Particle Filter on Matrix Lie group
  IEEE American Control Conference (ACC), 2723–2728, Boston, June 2016
  Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta

• A Coupled Oscillator-based Control Architecture for Locomotory Gaits
  IEEE Conference on Decision and Control (CDC), 3487–3492, Los Angeles, December 2014
  Amirhossein Taghvaei, Seth A. Hutchinson, and Prashant G. Mehta

Thesis:

• Design and analysis of particle-based algorithms for nonlinear filtering and sampling
  Ph.D. Dissertation, University of Illinois at Urbana-Champaign, 2019
  Amirhossein Taghvaei