18 citations · 20 across the 4 of their papers we have counts for
5 papers
PAC-Bayesian Bounds for Learning Partially Observed Stochastic Linear Time-Invariant State-Space Systems with Inputs and Sub-Gaussian Noise
Mihaly Petreczky, Mohamad Al Ahdab, John Leth
In this paper we derive a Probably Approximately Correct (PAC)-Bayesian error bound for partially observed linear time-invariant (LTI) stochastic dynamical systems in state-space f…
Optimal Sensor Scheduling and Selection for Continuous-Discrete Kalman Filtering with Auxiliary Dynamics
Mohamad Al Ahdab, John Leth, Zheng-Hua Tan
We study the Continuous-Discrete Kalman Filter (CD-KF) for State-Space Models (SSMs) where continuous-time dynamics are observed via multiple sensors with discrete, irregularly tim…
Momentum-Based Learning of Nash Equilibria for LISA Pointing Acquisition
Aitor R. Gomez, Mohamad Al Ahdab
This paper addresses the pointing acquisition phase of the Laser Interferometer Space Antenna (LISA) mission as a guidance problem. It is formulated in a cooperative game setup, wh…
An Online Stochastic Optimization Approach for Insulin Intensification in Type 2 Diabetes with Attention to Pseudo-Hypoglycemia
Mohamad Al Ahdab, Torben Knudsen, Jakob Stoustrup +1
In this paper, we present a model free approach to calculate long-acting insulin doses for Type 2 Diabetic (T2D) subjects in order to bring their blood glucose (BG) concentration t…
Glucose-insulin mathematical model for the combined effect of medications and life style of Type 2 diabetic patients
Mohamad Al Ahdab, John Leth, Torben Knudsen +2
The goal of this paper is to propose a new mathematical model for the combined effect of different treatments and lifestyles on the glucose-insulin dynamics of Type 2 diabetes (T2D…