Abderrachid Hamrani

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• PhD
• Researcher at Florida International University

Diabetic foot ulcers (DFUs) pose a significant challenge in healthcare, requiring precise and efficient wound assessment to enhance patient outcomes. This study introduces the Attention Diffusion Zero-shot Unsupervised System (ADZUS), a novel text-guided diffusion model that performs wound segmentation without relying on labeled training data. Unli...

Producing high-quality segmentation masks for medical images is a fundamental challenge in biomedical image analysis. Recent research has explored large-scale supervised training to enable segmentation across various medical imaging modalities and unsupervised training to facilitate segmentation without dense annotations. However, constructing a mo...

This work presents a physics-guided parameter estimation framework for cold spray additive manufacturing (CSAM), focusing on simulating and validating deposit profiles across diverse process conditions. The proposed model employs a two-zone flow representation: quasi-constant velocity near the nozzle exit followed by an exponentially decaying free...

This study investigated the usage of machine learning (ML) to optimize nickel-based catalysts for biohydrogen production via catalytic pyrolysis (CP). While these catalysts offer cost, activity, and thermal stability advantages, they face deactivation through sintering and coke formation. Developing catalysts to combat these challenges is time-cons...

Cold spray technology has become essential for industries requiring efficient material deposition, yet achieving optimal deposition efficiency (DE) presents challenges due to complex interactions among process parameters. This study developed a two-stage machine learning (ML) framework incorporating Bayesian optimization to address these challenges...

Traditional methods for skin color classification, such as visual assessments and conventional image classification, face limitations in accuracy and consistency under varying conditions. To address this, we developed AI Dermatochroma Analytica (AIDA), an unsupervised learning system designed to enhance dermatological diagnostics. AIDA applies clus...

Legged robots in general, and quadrupedal structures in particular, have demonstrated high potential as a means of locomotion, possessing the ability to carry out tasks that traditional vehicles are unable to accomplish. In the last thirty years, legged locomotion technology has been advanced globally, leading to the creation of numerous equipment...

Thermal simulation is essential in wire-arc-directed energy deposition (W-DED) to accurately estimate temperature distributions, impacting residual stress and distortion in components. Proper calibration of simulation models minimizes inaccuracies caused by varying material properties, machine settings, and environmental conditions. The lack of sta...

In general, agriculture plays a crucial role in human survival as a primary source of food, alongside other sources such as fishing. Unfortunately, global warming and other environmental issues, particularly in less privileged nations, hamper the Agricultural sector. It is estimated that a range of 720 to 811 million individuals experienced food in...

This study introduces AI Dermatochroma Analytica (AIDA), an innovative artificial intelligence (AI) system developed to address the complex challenge of accurately classifying and analyzing human skin colors. Traditional methods, including subjective visual assessments and the imagery classification system, have shown limitations in capturing the t...

Skin color impacts the accuracy of the calculated tissue oxygenation maps with our inhouse NIR optical imager. Skin color was classified by FST using deep learning and thresholding techniques to allow for appropriate color corrections.

The dynamic landscape of additive manufacturing (AM) is undergoing a transformative phase with the advent of multiple wire arc AM (MWAAM) processes. This systematic review offers an exhaustive exploration of the latest advancements and multifaceted applications of these innovative techniques within the realms of AM and welding. Prominently discusse...

Due to its unique benefits over standard conventional “subtractive” manufacturing, additive manufacturing is attracting growing interest in academic and industrial sectors. Here, special emphasis is given to wire arc additive manufacturing (WAAM), a directed energy deposition process that employs arc welding tools and wire to build metallic compone...

Higher than average fertilization rates, as applied to mineral soils, are often recommended for cultivated organic soils (>20% organic matter), which over time, have led to phosphorus (P) pollution into receiving water bodies via subsurface tile drainage. Limited studies have documented the P pools within organic soils or their link to tile drainag...

In this work, an Hybrid Renewable Energy System (HRES) based on microgrid power is proposed and optimized to meet the electric demand of a sustainable multi-family buildings with possible generation of clean hydrogen. Hourly building simulation is carried out based on meteorological data to predict the year-round electrical consumption of the desig...

Agriculture is crucial to human life. It is the main food provider, yet it remains prone to climate change and other challenges, notably in developing countries. Some of the most prominent challenges are related to the surveillance and monitoring of climate, water resources, and soil quality. The evolution of Artificial Intelligence (AI), embedded...

Advanced composite materials with multiple phases and heterogeneous microstructure necessitate spatial mapping characterization of elastic modulus to develop constitutive relations and overall mechanical response. Such modulus mapping can be obtained using the nanoindentation technique, where the indenter tip raster over the selected microstructure...

The organic soils of Holland Marsh, Ontario are used for intensive vegetable production, which demands high-phosphorus (P) fertilizer applications. Such high-fertilizer applications on these tile-drained lands lead to eutrophication in surrounding water bodies. This study investigated the application of neural network (NN) models for deriving P man...

This paper presents a machine learning (ML) surrogate modeling for fast processing in meshless/meshfree methods. The main idea is to leverage the universal approximation (UA) propriety of supervised ML models (shallow/deep learning and other regression models) to surrogate the heavy shape function construction in meshless methods. The resulting ML...

Climatic parameters influence CO2 emissions and the complexity of the relationship is not fully captured in biophysical models. Machine learning (ML) is now being applied to environmental problems, and it is, therefore, opportune to investigate ML models in CO2 predictions from agricultural soils. In this study, six ML models were compared for thei...

The objective of this paper is to assess the potential of machine learning algorithms in predicting the indoor air temperature in a greenhouse using the outdoor data. A dataset gathering the main weather data and the indoor air temperature of a greenhouse located in Agadir, Morocco was used for this purpose. Machine learning models including suppor...

Machine learning (ML) models are increasingly used to study complex environmental phenomena with high variability in time and space. In this study, the potential of exploiting three categories of ML regression models, including classical regression, shallow learning and deep learning for predicting soil greenhouse gas (GHG) emissions from an agricu...

It is a known fact that incorporating textures in the contact surfaces can significantly enhance bearing performances. The purpose of this paper is to outline the effects of texture bottom profiles and contour geometries on the performances of hydrodynamic textured journal bearings. The analysis was conducted using computational approach to test ei...

Veneer cutting is a specific machining process, where the chip is the final product. The objective of this article is to investigate on the optimal tool edge geometry, using particle swarm optimization (PSO) algorithm, to obtain the desired veneer thickness. The challenge is to maintain the best quality of veneer product with the control of pre-spl...

This work describes the application of a multiobjective cuckoo search method for turbomachinery design optimization of an axial pump. Maximization of the total efficiency and minimization of the required net positive suction head of the pump are the two objective functions considered for the optimization problem. The optimization process is carried...

Veneer cutting is a specific machining process, where the chip is the final product. The objective of this article is to investigate on the optimal tool edge geometry, using particle swarm optimization (PSO) algorithm, to obtain the desired veneer thickness. The challenge is to maintain the best quality of veneer product with the control of pre-spl...

This work describes the application of a multiobjective cuckoo search (CS) method for turbomachinery design optimization of an axial pump. Maximization of the total efficiency and minimization of the required Net Positive Suction Head (NPSHC) of the pump, are the two objective functions considered for the optimization problem. The optimization proc...

Bearing misalignment can affects nearly all operating performances: minimum film thickness, pressure distribution, thermal field, friction torque, leakage flow rate, and cavitation. In this study, we present a computational investigation related to the combined influence of surface texturing and journal misalignment on the performances of hydrodyna...

A wisely chosen geometry of micro textures with the favorable relative motion of lubricated surfaces in contacts can enhance tribological characteristics. In this paper, a computational investigation related to the combined influence of bearing surface texturing and journal misalignment on the performances of hydrodynamic journal bearings is report...

Rotary peeling veneer is a very specific machining process, where the chip is the final product. The fact that works related to this manufacturing process are rare, our objective is to investigate on the optimal cutting parameters, tool edge geometry, through the use of Teaching-Learning based optimization (TLBO) algorithm in order to obtain the be...

Misalignment affects nearly all the bearing performance characteristics including the minimum film thickness, pressure field, friction torque, leakage flow rate, and moments. This study presents investigations related to the combined influences of shaft misalignment and texture location on the hydrodynamic journal bearing performances. A numerical...

Dans ce papier, nous avons développé et mis en oeuvre la méthode de réduction de modèle "Proper Generalized Decomposition" (PGD) pour la résolution de l'équation de Reynolds, décrivant le comportement du lubrifiant dans les paliers lisses. Le modèle de la méthode de PGD utilisé est basé sur la technique de séparation des variables à travers la stra...

Ce travail présente une étude, par simulation numérique, de l'effet de la texturation sur la lubrification des paliers hydrodynamiques soumis à un chargement stationnaire. L'équation de Reynolds des films minces vis-queux est utilisée en considérant la présence des cavités de différentes formes dans la surface du coussinet. Les effets de la forme d...

This purpose is about a computational fluid dynamics investigation of a step varying in annular space effect on Taylor vortices flow and velocity in cylindrical Taylor-Couette system. Three cases are considered, the first geometric configuration GCi where the change in radius of the outer cylinder, and the half endplate is replaced by fluid close t...

Dans cet article, la méthode sans maillage "cell-based smoothed radial point interpolation method (CS-RPIM)" est étendue pour la simulation des procédés de poinçonnage à grande vitesse sous un com-portement élasto-viscoplastique en grandes déformations. Dans ce contexte, deux techniques ont été employées pour la formulation du problème de grande dé...

Turbomachinery design is a complex problem which requires a lot of experience. The procedure may be speed up by the development of new numerical tools and optimization techniques. The latter rely on the parameterization of the geometry, a model to assess the performance of a given geometry and the definition of an objective function to compare solu...

L’objectif de ce travail consiste à étudier le problème de la convection naturelle à l'intérieur d'une cavité carrée différemment chauffée à l'aide de la méthode spectrale. Les simulations numériques bidimensionnelles et tridimensionnelles sont effectuées pour différents nombres de Prandtl et de Rayleigh caractéristiques de l'écoulement du fluide à...

In this paper, the numerical investigation of the flow, which is that, develops in the narrow gap between two concentric short conical cylinders was performed. The annular radial gap is considered constant along of the system for various apex angles and the aspect ratio is Γ = 5. The inner conical cylinder rotates with a constant angular velocity a...

In order to overcome the possible singularity associated with the Point Interpolation Method (PIM), the Radial Point Interpolation Method (RPIM) was proposed by G. R. Liu. Radial basis functions (RBF) was used in RPIM as basis functions for interpolation. All these radial basis functions include shape parameters. The choice of these shape parameter...

This paper presents a methodology for damage detection and localization in composite beams using vibration data, Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). The data was acquired by developing a program that performs dynamic analysis of unidirectional graphite-epoxy composite beams based on the Finite Element Method (FEM). The obj...

In this work a new cell based strain smoothing formulation for isogeometric finite element analysis is proposed. The new CS-IGA method is formulated by incorporating cell-wise strain smoothing operation into IGA method. The compatible strain fields are smoothed based on smoothing domains associated with entities of isogeometric elements and the smo...

In the few past years, new methods named Meshfree methods have been developed to surmount limitations of the finite element method. The main characteristic of these methods is to not employ any pre-defined mesh: they use a set of nodes scattered within the problem domain as well as sets of nodes scattered on the boundaries of the domain. A particula...

My Ph.D defence presentation

Avec l'avancé des méthodes numériques, de nouvelles méthodes dites « sans maillage » sont apparues pour remédier à certaines limitations de la méthode des éléments finis. Ces méthodes ont la particularité de n’employer aucun maillage prédéfini : elles utilisent un ensemble de nœuds dispersés dans le domaine considéré et sur ses frontières. L’object...

In the present work, a reduced-order method, “Proper Generalized Decomposition (PGD)” is extended and applied to the resolution of the Reynolds equation describing the behavior of the lubricant in hydrodynamic journal bearing. The PGD model is employed to solve the characteristic ‘Reynolds’ partial differential equation using the separation techniq...

This work deals with the crack identification using model reduction based on the proper orthogonal decomposition method. The proposed inverse problem consists of the estimation of the crack length and its position in a plate using boundary displacements as input data. Genetic algorithm and particle swarm optimization were applied for the minimizati...

In this work the advances in meshfree methods, particularly the Radial Basis Function based meshfree Galerkin Methods, are presented with the purpose of analyzing the performance of their meshless approximations and integration techniques. The Radial Point Interpolation Method (RPIM) is studied based on the global Galerkin weak form performed using...

In this study we use the material elastic properties as a base, a tow dimensional cracked plate under traction is modelled by finite element method (FEM) than a reduced model is built using the proper orthogonal decomposition method (POD), the crack length is estimated as an inverse identification problem, basing on the deformation obtained from th...

In this study we use the material elastic properties as a base. A tow dimensional cracked plate under traction is modelled by finite element method (FEM) then a reduced model is built using the proper orthogonal decomposition method (POD) with help of radial basis functions (RBF) method of interpolation. The crack length is estimated as an inverse...

In this study we use the material elastic properties as a base. A tow dimensional cracked plate under traction is modelled by finite element method (FEM) then a reduced model is built using the proper orthogonal decomposition method (POD) with help of radial basis functions (RBF) method of interpolation. The crack length is estimated as an inverse...

In this study the proper orthogonal decomposition method is utilised as a model reduction technique in crack size estimation in a cracked plate under traction problem. The idea is to create a reduced model based on the results issued from finite element method, thus the crack size parameter is directly related to the boundary displacement obtained...

In recent years, new methods named Meshfree methods have been developed to surmount the limitations of the finite element method, these methods have the characteristic to employ any pre-defined mesh, they use a set of nodes scattered within the problem domain as well as sets of nodes scattered on the boundaries of the domain. The aim of this study...

In recent years, new methods named Meshfree methods have been developed to surmount the limitations of the finite element method, these methods have the characteristic to employ any pre-defined mesh, they use a set of nodes scattered within the problem domain as well as sets of nodes scattered on the boundaries of the domain. The aim of this stu...