Emanuel Colella Email & Phone Number

Ancona, Marches, Italy

Research activity including FDTD simulations and laboratory measurements on the RISE-6G project.The research activity foresees the involvement in various WPs of the project: collaboration in WP3, forthe experimental measurements in the reverberation room, for the emulation of real scenarios (including interactions with the human body); collaboration in WP6, simulations with the FDTD technique in Python of the technology developed in RISE-6G including the biological model of the human body, collaboration in WP7 for the validation of technologies proposals in RISE-6G and interaction in WP8 concerning the dissemination of results.

Piscataway, New Jersey, Stati Uniti

The IEEE Standard Association working group P2718 is responsible for the development of the standard 'Guide for the Near-Field Characterization of Unintentional Stochastic Radiators'. The standard falls within the field of Electromagnetic Compatibility for the characterization of electromagnetic emissions radiated by complex stochastic sources. In particular, the group deals with the development of an Open Source software for the determination of the correlation functions starting from field samples measured in the near-field.

Ancona, Marches, Italy

As PhD student I was involved in investigating computational problems that quantum phenomena such as superposition and entanglement can help solve. The main focus was developing quantum algorithms, designing new ones and proposing how existing algorithms can be used for current applications to improve outcomes. I started with the Variational quantum algorithms (VQAs) that are one of the most promising methods that can be implemented on noisy intermediate-scale quantum (NISQ) machines to achieve a quantum advantage over classical computers. In the first part, the VQA in conjunction with the finite difference method for the calculation of propagation modes of an electromagnetic wave in a hollow metallic waveguide has been studied. The two-dimensional (2-D) waveguide problem, described by the Helmholtz equation, was approximated by a system of linear equations, whose solutions are expressed in terms of simple quantum expectation values that can be evaluated efficiently on quantum hardware.

Ancona, Marche, Italia

As a teacher I have the opportunity to teach the subjects Calculus and Physics. Physics: Kinematics of the material point. Dynamics of the material point. Galilean relativity. Non inertial reference frames and fictitious forces. Energy and work. Mechanics of particle systems. Conservation laws. Bumps. Rigid bodies. Kinematics, Dynamics and Statics of rigid bodies. Gravitation. fluid systems. Statics and dynamics of fluids. Waves and swings. Fundamentals of classical thermodynamics. Mathematical Analysis: Elements of set theory. Functions of R in R. Limits of functions. Limits of successions. Monotone sequences. Series. Derivatives. Derivability and continuity. Local and absolute maxima and minima. Taylor and Mac Laurin polynomials. Calculation of limits. Taylor's formula. Convex, concave functions. Asymptotes. Function study. Indefinite integrals. Improper integrals. Improper series and integrals.

Ancona, Marche, Italia

The research activity foresees the involvement in various WPs of the RISE-6G project. RISE-6G designs, prototypes, and trials radical technological advances based on Reconfigurable Intelligent Surfaces (RISs) to forge a new generation of dynamically programmable wireless propagation environments. This supports dynamic adaptation to future stringent and highly varying B5G/6G service requirements in terms of Electromagnetic Field (EMF) emissions, localisation accuracy, Energy Efficiency (EE), secrecy guarantees, as well as legislation and regulation changes, while incurring minimal connect-compute network redesign and reconfiguration costs. collaboration in WP2, in identifying KPIs and metrics in order to evaluate the performance of wireless systems with the technology proposed in RISE-6G in the presence of the user.

This work focuses on an automatic recognition of COVID-19 compared to normal cases and viral pneumonia basing on deep convolutional neural networks: ResNet-18 and ResNet-34. In this study, attention has been paid to these networks, having already been studied, tested and present in all deep learning libraries, certainly helping to speed up scripting times for the creation of an efficient algorithm of automatic learning. In this way, time would be gained by avoiding the creation of a new mathematical model from scratch but an efficient network already present in the literature could be optimized in order to pro- mote a diagnostic tool in the shortest possible time. The implementation of a COVID-19 detection algorithm and its discrimination with respect to viral pneumonia would not only decrease the diagnostic time and spread of COVID-19, but above all, it would save many lives.

The Electrocardiography (ECG) is a medical diagnostic process for recording the electrical activity of the heart. It represents an important electro-diagnostic tool for identification of cardiac diseases and heart dysfunctions basing on the analysis of particular morphologies of ECG signals. In the present paper, we focus on an automated algo- rithm for QRS width measurement performed on 100 12- channels low-noise ECG recordings of 10 s duration. The algorithm deals with finding automatically the onset and the offset of the QRS complexes and compute the average among 12 leads of each ECG recording.

Posture is the orientation of the body segments in respect to the gravitational vector, made through the measurement of their angular displacement over time. The balance is the ability of maintaining the Centre of Mass (COM) over the base of support with minimal distance from the Centre of Gravity (COG), and is the dynamic of posture to prevent falling. The control balance system integrates all the inputs from the visual, vestibular and somatosensory systems and allows to maintain the equilibrium, for example giving the necessary motor outputs to muscles. Gait analysis is the systematic study of locomotion, more specifically the study of human motion, using the eye and the brain of observers, augmented by instrumentation for measuring body movements, body mechanics, and the activity of the muscles. Gait analysis is used to assess and treat individuals with conditions affecting their ability to walk. It is also commonly used in sports biomechanics to help athletes run more efficiently and to identify posture-related or movement-related problems in people with injuries. Through the gait analysis, kinematic and kinetic data are analyzed in order to provide fundamental gait information ultimately interpreted by clinicians for a clinical evaluation of the degree of the disorder already diagnosed.

Wearable sensors (WS) are increasingly used medical devices for acquiring physiological signals during all daily life activities. Among all acquired signals, the electrocar- diographic (ECG) one represents the gold standard for the heart health monitoring, often corrupted by noise factors among which motion artefacts which overlap with the ECG recordings providing altered results. One of the most over- casting motion artefact, independent from signal or sen- sor, is represented by walking, the most common activity during the day which decreases the informative content of the ECG signals. Consequently, different solutions have been proposed for noise removal like template-based meth- ods (Standard, SBMM). In particular this study focuses on evaluating the robustness of the Segmented Beat Modula- tion Method (SBMM) as filtering technique on three walk- ing corrupted ECG datasets in terms of signal-to-noise ra- tio (SNR) improvement thanks to SBMM algorithm imple- mentation. The improvement has been computed as differ- ence between the SNR evaluated before and after perform- ing the algorithm. Outcome results showed a significant improvement on all ECG recordings obtained with three different devices and configurations.

Ancona Area, Italy

This study describes the kinematics, kinetics and dynamics of the wheelchair driven by apatient who is advancing along a ramp. The subject by his physical forces moves on thewheelchair on inclined plane of a constant angle θ. The medical device is composed bythree elements: wheel 1 (solid 1), wheel 2 (solid 2) and the body of the wheelchair (solid 3), which is designed by a right-angled triangle in point G which represents the total centre of mass of the system. The wheel 1 is defined with a radius r1, mass m1 and centre of mass G1, the wheel 2 is defined with a radius r2, mass m 2 and centre of mass G 2 while the mass of the patient M is placed in the center of mass G. The basis is orthonormal, direct and the frame connected to 0 is denoted Ro ′. The basis denoted Ro is referred to the inclined plane with constant angle θ. This analysis is born with the aim of studying the whole dynamics of a wheelchair, driven by a patient along an inclined plane of an angle θ. In the first part of the study we analyzed the kinematic and kinetic characteristics of the medical device designed with two wheels and a right- angled triangle that represents the entire body of the wheelchair. At the end we obtained the acceleration, velocity and the equation of the emotion of the wheelchair for the angle θ equal and different from 0.

Ancona Area, Italy

In this study two mathematical models denomi- nated M1 and M2, are proposed to describe the incretin effect under an oral glucose tolerance test (OGTT). The model M1 is characterized by a specific compartment for the gut, called duodenum, to examine the time course of the Gastric Inhibitory Peptide (GIP) hormone, while the model M2 is defined by a single compartment for the gut to test the time course of the Glucagon-like peptide 1 (GLP-1) hormone. Both models are chracterized by the gastric emptying rate function Gempt(t), the C-peptide kinetic model and by the exeperimental data for insulinemia I(t), glycemia G(t) and C-peptide C1(t). The models have been implemented in Matlab-Simulink enviroment with two different parameter estimation procedures to define the best fit with the given experimental data characterizing the insulin, glucose, C-peptide, GIP and GLP-1 responses.

Ancona Area, Italy

The current study analyses EEG recordings of 12 subjects. Subjects had to perform a task based on the Aristotelian square opposition. They were seated in front of a monitor that showed two sentences, the premise and after the conclusion. At the end, subjects had 1.5 s to give the response (yes/no) to indicate if the premise and the conclusion were contradictory or not. The aim is the investigation about if any different behavior occurs when we process the logical operators (independently if sentences are contradictory or non-contradictory) and between contradictory and non-contradictory sentences (independently which are the logical operators). The analysis of the EEG recordings was computed with MATLAB and EEGLAB toolbox. The first phase consists in the pre-processing of the data as filtering, ICA decomposition and epoching. The second phase is about the group analysis to study the general trend of brain activity under the above conditions, underling in particular the ERPs (Event-Related Potentials), ERSPs (Event- Related Spectral Perturbation) and ITCs (Inter-Trials Coherence).

Ancona Area, Italy

Alzheimer’s disease (AD) is one of the most critical neurodegenerative disorder. The ApolipoproteinE (ApoE) ɛ4 has been identified as one of the main risk factors for AD. In this review, several studies are collected with the purpose to assess whether neuroimaging techniques combined with ApoE ɛ4 are valid biomarkers to detect, in a preclinical way, the late on-set of Alzheimer’s disease. The attention is focused on neuroimaging non-invasive techniques, in particular on electroencephalography (EEG) and on functional magnetic resonance imaging (fMRI). Changing in normal waves behavior (EEGs recording imaging method) and alteration in functional connectivity (fMRI method) of brain areas involved in memory processes can be studied to distinguish AD from the other types of dementia according to the presence of ApoE ɛ4. Thus, these techniques related to ApoE ɛ4 have demonstrated to be helpful to discover the AD in a preclinical stage, but further studies are needed to define a standard protocol through which an early diagnosis may be possible.

Ancona Area, Italy

During the Bachelor Thesis it has been performed a reconstruction of the aortic arch and coronary arteries of a healthy patient and one affected by a congenital coronary malformation, from CT images in DICOM standard, and fluidodynamic analysis (CFD). A first fluidodynamic analysis was carried out in terms of model, boundary conditions, numerical solvers and algorithms, used in CFD blood simulation within the aorta and both coronaries.The software used: Mimics Innovation Suite, Materialize 3-Matic, Rhinoceros, Meshmixer, COMSOL Multiphysics, MATLAB.The simulations are conducted directly on the extracted, reconstructed and redesign 3D model, coming from the CT scan performed by the Salesi Pediatric Hospital of Ancona on a healthy patient. As a whole, this study constitutes a first phase of the development and validation of a model for hemodynamic simulation, aimed at providing indications on the physiological state of a perfectly healthy patient and with the necessary hypotheses.Finally, 3D and 2D graphical models will be developed for blood flow along the aorta (ascending, arc, descending) and on both coronaries.

Bsc Degree, Ingegneria Biomedica

The BSc course in Biomedical Engineering aims to create a solid culture in a technical and biological interdisciplinary field, based.

Doctor Of Philosophy - Phd, Quantum Computing

Activities and Societies: Quantum Algorithms, Variational Quantum Algorithms, Variational Quantum Eigensolvers, Quantum Electromagnetics.

Msc Degree, Biomedical Engineering

The MSc course in Biomedical Engineering aims to train an inter-disciplinary professional figure able to operate in all healthcare.