Farayi Musharavati

ORCID: 0000-0003-0489-0090
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About
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Research Areas
  • Thermodynamic and Exergetic Analyses of Power and Cooling Systems
  • Advanced Thermodynamics and Statistical Mechanics
  • Hybrid Renewable Energy Systems
  • Manufacturing Process and Optimization
  • Solar Thermal and Photovoltaic Systems
  • Composite Structure Analysis and Optimization
  • Metal and Thin Film Mechanics
  • Building Energy and Comfort Optimization
  • Nonlocal and gradient elasticity in micro/nano structures
  • Orthopaedic implants and arthroplasty
  • Advanced materials and composites
  • Flexible and Reconfigurable Manufacturing Systems
  • Scheduling and Optimization Algorithms
  • Advanced battery technologies research
  • Diamond and Carbon-based Materials Research
  • Supercapacitor Materials and Fabrication
  • Tribology and Wear Analysis
  • Smart Grid Energy Management
  • COVID-19 diagnosis using AI
  • Bone Tissue Engineering Materials
  • Refrigeration and Air Conditioning Technologies
  • Corrosion Behavior and Inhibition
  • Radiomics and Machine Learning in Medical Imaging
  • Solar-Powered Water Purification Methods
  • Water-Energy-Food Nexus Studies

Qatar University
2016-2025

Helwan University
2018

Lafer (Italy)
2016

In this study, we synthesized binder-free NiCo2O4@NiCo2O4 nanostructured materials on nickel foam (NF) by combined hydrothermal and cyclic voltammetry deposition techniques followed calcination at 350 °C to attain high-performance supercapacitors. The hierarchical porous structure, facilitating faster mass transport, exhibited good cycling stability of 83.6% after 5000 cycles outstanding specific capacitance 1398.73 F g-1 the current density 2 A·g-1, signifying its potential for energy...

10.3390/nano10071292 article EN cc-by Nanomaterials 2020-06-30

Detecting COVID-19 at an early stage is essential to reduce the mortality risk of patients. In this study, a cascaded system proposed segment lung, detect, localize, and quantify infections from computed tomography images. An extensive set experiments were performed using Encoder–Decoder Convolutional Neural Networks (ED-CNNs), UNet, Feature Pyramid Network (FPN), with different backbone (encoder) structures variants DenseNet ResNet. The conducted for lung region segmentation showed Dice...

10.3390/diagnostics11050893 article EN cc-by Diagnostics 2021-05-17

Cardiovascular diseases are the most common causes of death around world. To detect and treat heart-related diseases, continuous blood pressure (BP) monitoring along with many other parameters required. Several invasive non-invasive methods have been developed for this purpose. Most existing used in hospitals BP invasive. On contrary, cuff-based methods, which can predict systolic (SBP) diastolic (DBP), cannot be monitoring. studies attempted to from non-invasively collectible signals such...

10.3390/s22030919 article EN cc-by Sensors 2022-01-25

The explosion of plastic waste generation, approaching 400 million tons per year, has created a worldwide environmental crisis that conventional management systems cannot handle. This problem can be solved through gasification, which converts nonrecyclable plastics to syngas with potential applications in electricity generation and synthetic fuel production. study investigates whether production from by gasification is environmentally economically feasible. Environmental impacts were...

10.3390/su17031277 article EN Sustainability 2025-02-05

Ni–Co-LDH has recently been examined for its potential as battery-type hybrid supercapacitors made from metal hydroxide electrode materials, due to their unique spatial structure, excellent electrochemical activity, and good electrical conductivity.

10.1039/c7ra06670h article EN cc-by-nc RSC Advances 2017-01-01
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