Usman Safder

ORCID: 0000-0002-2380-8112
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About
Contact & Profiles
Research Areas
  • Thermodynamic and Exergetic Analyses of Power and Cooling Systems
  • Advanced Thermodynamics and Statistical Mechanics
  • Process Optimization and Integration
  • Solar Thermal and Photovoltaic Systems
  • Hybrid Renewable Energy Systems
  • Integrated Energy Systems Optimization
  • Energy and Environment Impacts
  • Membrane Separation Technologies
  • Supercapacitor Materials and Fabrication
  • Advanced Battery Technologies Research
  • Computational Drug Discovery Methods
  • Chemistry and Chemical Engineering
  • Water Quality Monitoring Technologies
  • Electric Vehicles and Infrastructure
  • Water-Energy-Food Nexus Studies
  • Building Energy and Comfort Optimization
  • Chemical Looping and Thermochemical Processes
  • Wastewater Treatment and Nitrogen Removal
  • Transition Metal Oxide Nanomaterials
  • Membrane-based Ion Separation Techniques
  • Adsorption and Cooling Systems
  • Air Quality Monitoring and Forecasting
  • Hydrological Forecasting Using AI
  • Water Quality Monitoring and Analysis
  • Carbon Dioxide Capture Technologies

University College Dublin
2023-2024

Kyung Hee University
2018-2023

Samsung (South Korea)
2022

Supercapacitors (SCs) are gaining attention for Internet of Things (IoT) devices because their impressive characteristics, including high power and energy density, extended lifespan, significant cycling stability, quick charge–discharge cycles. Hence, it is essential to make precise predictions about the capacitance lifespan supercapacitors choose appropriate materials develop plans replacement. Carbon-based supercapacitor electrodes crucial advancement contemporary technology, serving as a...

10.3390/su16041516 article EN Sustainability 2024-02-10

Environmental sensors are utilized to collect real-time data that can be viewed and interpreted using a visual format supported by server. Machine learning (ML) methods, on the other hand, excellent in statistically evaluating complicated nonlinear systems assist modeling prediction. Moreover, it is important implement precise online monitoring of complex wastewater treatment plants increase stability. Thus, this study, novel approach based ML methods suggested predict effluent concentration...

10.3390/w14193147 article EN Water 2022-10-06
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