Genta Rexha
@fti.edu.al
Department of Telecommunications and Electronics
Polytechnic University of Tirana
EDUCATION
September 14th, 2021 Academic title “Associate Professor” from the Polytechnic University of Tirana
December 2007 – October 2010 PhD in Aerospace Sciences and Technologies – Engineering Section
Second University of Naples - Aerospace and Mechanical Department Aversa (Ce), Italy
January 2004 – July 2007 Master of Sciences in Aerospace Engineering with 110/110 e lode Second University of Naples - Aerospace and Mechanical Department Aversa (Ce), Italy
September 2000 – January 2004 Bachelor’s degree in Aerospace Engineering with 110/110 e lode
Second University of Naples - Aerospace and Mechanical Department Aversa (Ce), Italy
RESEARCH, TEACHING, or OTHER INTERESTS
Aerospace Engineering, Electrical and Electronic Engineering, Mechanics of Materials, Computer Engineering
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Genta Rexha, Arbnor Pajaziti, Xhevahir Bajrami, Jozef Kola, Genci Capi, and Goragod Pongthanisorn
IEEE
In this study is presented a wheelchair with a control mechanism driven by the user’s eye movements. The wheelchair’s functionality is enabled through two stepper motors, a driver DMA860H, and an Arduino Uno microcontroller. The objective of the research is that the EEG signals are read and by means of these signals we perform certain tasks or control various processes. OpenBCI (Brain Computer Interface) board has been used to measure and record electrical activity produced by the brain and is compatible with standard EEG (Electroencephalogram) electrodes.The user’s eye movements will be used to operate the stepper motors. The OpenBCI Cyton plus Daisy biosensing board samples the signals, which are then processed in Matlab before relaying the motions to Arduino Uno. The wheelchair can move left, right, backward, and forward, based on eye movements.
Elva Leka, Enkeleda Hoxha, and Genta Rexha
IEEE
The Internet of Things (IoT) is one of the most important technologies of our day, and it will continue to become more significant as more businesses realize the competitive advantages of having connected devices. Blockchain helps maintain correct data that is unaltered and permanent. At the same time, the Internet of Things (IoT), addresses hardware connected via the internet and may use machine learning to discover trends and produce accurate projections utilizing this data. Those three technologies have taken the place of the conventional methods that were previously employed for the design and architecture of new devices. Combining them yields a wide range of potential outcomes, some of which might result in the next great thing. We also contend that this convergence will speed up the development of autonomous models and information technology that aids companies in managing the security and privacy of their clients. We highlight and expose several challenges and upcoming research areas using machine learning algorithms and blockchain techniques to address security and privacy issues in the IoT space. In this paper, we thoroughly analyze the use of blockchain and machine learning technologies for IoT, focusing on security and privacy. Critical thoughtful writing has been heightened by examining research articles published in well-regarded magazines between 2018 and 2022. Finally, there are still challenges that can steer academics toward potential future advancements in IoT security and privacy.
V Sejdiu, A Pajaziti, G Rexha, X Bajrami, E Rrustemi, and J Kola
Elsevier BV
Arbnor Pajaziti, Genta Rexha, Xhevahir Bajrami, Edvin Rustemi, Jozef Kola, and Mehmet Zeqiraj
IEEE
This paper presents the design, fabrication, control, and implementation of a low-cost, 3D printed prototype of a prosthetic hand, customized for a selected patient. The prosthetic hand has been programmed to perform coordinated movements based on the commands from the patient. After testing, the prosthetic hand is given to the patient, who can use it in his daily life. The control of the movement of the fingers has been done with an Arduino board and the robotic hand is able to pick up different objects while controlling the pressure and temperature with sensors.
Kleva Shpati, G. Stroni, Erina Hilaj, Aurora Napuçe and G. Rexha
Cardiovascular diseases are the first disease in Albania that caused mortality and morbidity according to the Public Health Institute the Statistical Institute of Albania.[1,2] Hydroxymethylglutaryl-CoA reductase inhibitors (known as statins) are widely used as lipid-lowering drugs. They caused adverse events such as myotoxicity, renal, and hepatic problems which are considerably elevated in combination with other drugs. Drug–drug interactions (DDIs) can result in a change in either drug efficacy or toxicity. The value of therapy is defined by ineffectiveness or increased toxicity. Statins are the therapeutic class of medicines that reduce morbidity and mortality in patients with atherosclerotic cardiovascular disease.[3,4] Adverse events caused by DDI with clinical significance are preventable. DDIs involving statins include individual pharmacokinetics characteristics (e.g., binding affinity, half-life, dose of medications, and timing and sequence of administration duration of therapy) patients’ factors (e.g., age, sex, lifestyle, disease implicating metabolism hepatic, renal impairments and cardiac failure), genetic polymorphism, hypersensitivity, etc. Physicians choose a noninteracting alternative, but if none is available, they prescribe in combination by evaluating the benefits and risks of the co‐commitment of medications.[5,6]
Claudia Carotenuto, Genta Rexha, Raffaella Martone, and Mario Minale
Springer Science and Business Media LLC
AbstractNewtonian non-Brownian concentrated suspensions show a mismatch between the steady state and the complex viscosity, whatever the strain amplitude imposed in the oscillatory flow. This result is counterintuitive in the two extreme cases of vanishing strain amplitude and very large one. In the first case, the oscillatory flow should not be able to alter the steady microstructure, as well as in the other opposite limit for which the strain amplitude is so high that the oscillatory flow resembles a steady flow reversal. If the microstructure is not altered with respect to the steady one, similarly the complex viscosity should be equal to the steady one. We here investigate experimentally and numerically the origin of the viscosities mismatch at any imposed strain amplitude. We focus on the first two or three cycles of oscillations and different particle concentrations. Experimental and numerical results agree and allow to prove that for intermediate amplitudes, the oscillatory shear induces the breakage of particle clusters and the microstructure modifies so to minimise particle collisions. For very small strain amplitudes, the oscillatory shear only induces the rotation of few couples of touching particles and the complex viscosity results slightly smaller than the steady one, while for very large strains, the oscillatory flow reshuffles the particles inducing a microstructure as clustered as the steady state one but with a different angular distribution function. We show that the vast majority of the microstructure rearrangement takes place in the first half cycle of oscillation.
Genta Rexha and Mario Minale
Society of Rheology
The viscosity of a non-Brownian suspension in simple shear cannot be theoretically predicted in the limit of the semidilute approximation, since it depends on the initial configuration. Batchelor and Green [J. Fluid Mech. 56, 401–427 (1972)] proved that the suspension viscosity can be expressed in power series of the solid volume fraction and the second order coefficient, b, resulted undetermined. On the contrary, experimentally Pasquino et al. [J. Rheol. 52, 1369–1384 (2008)] obtained a single steady state and estimated the value of b. We here numerically show that laminar mixing is able to induce a unique steady state also in the semidilute regime, since it is effective to break the closed orbits that may occur in these suspensions. To this end, we investigated the effect of the initial conditions on the steady state starting from seven different configurations ranging from the fully uniform and ordered one to the agglomerated one, passing through different random distributions. We, finally, numerically predict, via Stokesian dynamics, the coefficient b for the viscosity of a monolayer of rigid spherical particles suspended in a Newtonian fluid, undergoing simple shear flow obtaining b = 6.5 in a good agreement with both the data of Pasquino et al. and the theoretical predictions obtained under the hypothesis of absence of closed orbits [Wilson and Davis J. Fluid. Mech. 421, 339–367 (2000)]. It is also shown that the Cox–Merz rule is fulfilled by the suspensions that we have numerically studied, i.e., up to a volume fraction of about 0.17.