activity
20182026
most citedAn Input-Output Approach to Structured Stochastic Uncertainty

13 citations · 18 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.QM2026

GenAI-Net: A Generative AI Framework for Automated Biomolecular Network Design

Maurice Filo, Nicolò Rossi, Zhou Fang +1

Biomolecular networks underpin emerging technologies in synthetic biology-from robust biomanufacturing and metabolic engineering to smart therapeutics and cell-based diagnostics-an…

q-bio.MN2025

Realizing Reduced and Sparse Biochemical Reaction Networks from Dynamics

Maurice Filo, Mustafa Khammash

We propose a direct optimization framework for learning reduced and sparse chemical reaction networks (CRNs) from time-series trajectory data. In contrast to widely used indirect m…

physics.bio-ph2018

Stochastic Models for Cochlear Instabilities

Maurice Filo, Bassam Bamieh

We investigate instabilities in a stochastic mathematical model of cochlear dynamics. The cochlea is modeled as a spatio-temporal dynamical system made up of a spatially distribute…

eess.SY2018★ 5 cited

An Input-Output Approach to Structured Stochastic Uncertainty in Continuous Time

Maurice Filo, Bassam Bamieh

We consider the continuous-time setting of linear time-invariant (LTI) systems in feedback with multiplicative stochastic uncertainties. The objective of the paper is to characteri…

eess.SY2018★ 13 cited

An Input-Output Approach to Structured Stochastic Uncertainty

Bassam Bamieh, Maurice Filo

We consider linear time invariant systems with exogenous stochastic disturbances, and in feedback with structured stochastic uncertainties. This setting encompasses linear systems…