Stochastic Analysis and Signal Processing Lab
Prof. Ketson R. M. dos Santos
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Welcome to the stochastic analysis and signal processing lab
Welcome to the stochastic analysis and signal processing lab
Our lab focuses on two main topics: modeling and analysis of complex systems under uncertainties, and the development of signal processing techniques for analyzing engineering systems. The lab is directed by Prof. Ketson R. M. dos Santos from the Department of Civil, Environmental, and Geo- Engineering (CEGE) at the University of Minnesota Twin Cities.
Research
Research
Our lab focuses on the mathematical modeling and development of computational, data-driven, and analytical methods for the analysis of dynamical systems under uncertainties.
Call for Papers
Call for Papers
I am pleased to invite you to submit a paper (Deadline: April 30, 2025) to the Special Collection on Advanced Numerical Techniques and Engineering Applications for Uncertainty Propagation in High-Dimensional Stochastic Systems, which I am co-editing with Zhibao Zheng (郑志宝), Ludovic Chamoin, and Hongzhe Dai.
>> More details and submission guidelines: https://lnkd.in/eMghyVqs
News
News
João Gabriel Duarte wins the second place in the EMI Dynamics Committee Student Paper Competition:
Congratulations to the PhD student João Gabriel Duarte for winning second place in the student paper competition of the Dynamics Committee at 2025 EMI - Engineering Mechanics Institute conference in Anaheim, CA, for his excellent work titled "Survival Probability Determination of MDOF Nonlinear Oscillators with Fractional Derivatives and Subject to Non-Stationary Excitation". Well done, João!
ASCE EMI 2025 & ICOSSAR 2025:
Our group presented 3 works at EMI 2025 and 2 works at ICOSSAR 2025. Moreover, we organized two successful mini-symposia in both conferences focusing on advances in computational methods for stochastic engineering dynamics.
Accepted paper:
"Efficient survival probability determination of nonlinear multi-degree-of-freedom oscillators with fractional derivatives subject to non-stationary excitation"
This paper co-authored by PhD Student João Gabriel Duarte and myself presents an efficient method to determine the survival probability of nonlinear/hysteretic MDOF oscillators with fractional derivatives subject to non-stationary excitation.
New paper:
"An efficient approach for taking into account uncertainties in structural parameters in Performance-Based Design Optimization"
This paper co-authored by Profs. Rafael Holdorf, Leandro F. F. Miguel, and myself, presents an efficient method for addressing structural parameter uncertainties in Performance-Based Design Optimization (PBDO) using a Stochastic Gradient Descent (SGD) algorithm.
https://www.sciencedirect.com/science/article/abs/pii/S0141029625007734?dgcid=coauthor
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