activity
20182025
collaborators

7 papers

eess.SP2025

Binary Deterministic Sensing Matrix Construction Using Manifold Optimization

Mohamad Mahdi Mohades, Hossein Mohades, S. Fatemeh Zamanian

Binary deterministic sensing matrices are highly desirable for sampling sparse signals, as they require only a small number of sum-operations to generate the measurement vector. Fu…

math.OC2019

Riemannian Trust Region Method for Haplotype Assembly

Mohamad Mahdi Mohades, Mohammad Hossein Kahaei

In this letter we model the Haplotype assembly problem (HAP) as a maximization problem over an -dimensional sphere. Due to nonconvexity of the feasible set, we propose a man…

math.OC2019

Haplotype Assembly Using Manifold Optimization and Error Correction Mechanism

Mohamad Mahdi Mohades, Sina Majidian, Mohammad Hossein Kahaei

Recent matrix completion based methods have not been able to properly model the Haplotype Assembly Problem (HAP) for noisy observations. To cope with such a case, in this letter we…

math.OC2018

Matrix Completion with Side Information using Manifold Optimization

Mohamad Mahdi Mohades, Mohammad Hossein Kahaei

We solve the Matrix Completion (MC) problem based on manifold optimization by incorporating the side information under which the columns of the intended matrix are drawn from a uni…

eess.SP2018

Matrix Completion with Weighted Constraint for Haplotype Estimation

Sina Majidian, M. Mohades, M. H. Kahaei

A new optimization design is proposed for matrix completion by weighting the measurements and deriving the corresponding error bound. Accordingly, the Haplotype reconstruction usin…

cs.CR2018

Application of Lowner-John Ellipsoid in the Steganography of Lattice Vectors and a Review of The Gentry's FHE

Hossein Mohades, Mohamad Kadkhoda, Mohamad Mahdi Mohades

In this paper, first, we utilize the Lowner-John ellipsoid of a convex set to hide the lattice data information. We also describe the algorithm of information recovery in polynomia…