A5100658845- Electrocatalysts for Energy Conversion
- Advanced battery technologies research
- Supercapacitor Materials and Fabrication
- Smart Grid Energy Management
- Microgrid Control and Optimization
- Fuel Cells and Related Materials
- Automated Road and Building Extraction
- Advanced Battery Technologies Research
- Optimal Power Flow Distribution
- Remote Sensing and LiDAR Applications
- Enhanced Oil Recovery Techniques
- Biosensors and Analytical Detection
- Electric Vehicles and Infrastructure
- Advancements in Battery Materials
- Lattice Boltzmann Simulation Studies
- Video Surveillance and Tracking Methods
- Advanced Chemical Sensor Technologies
- Geographic Information Systems Studies
- Structural Engineering and Vibration Analysis
- Seismic Performance and Analysis
- Electrochemical Analysis and Applications
- Advanced biosensing and bioanalysis techniques
- Groundwater flow and contamination studies
- Smart Parking Systems Research
- Catalytic Processes in Materials Science
University of Waterloo
2020-2024
Iran University of Science and Technology
2023-2024
University of Tehran
2019-2022
University of Ottawa
2018-2021
Qatar Cardiovascular Research Center
2019-2021
McGill University
2006-2020
University of British Columbia
2019-2020
Centre québécois sur les matériaux fonctionnels
2019
Islamic Azad University, Dezful Branch
2016-2018
University of Bojnord
2017
As a result of increasing popularity augmented reality and virtual (AR/VR) applications, there are significant efforts to bring AR/VR mobile users. Parallel the advances in technologies, tactile internet is gaining interest from research community. Both applications require massive computational capability, high communication bandwidth, ultra-low latency that cannot be provided with current wireless networks. By 2020, long term evolution (LTE) networks will start replaced by fifth generation...
Adsorption is a common technique for the treatment of dye-contaminated wastewater. Achieving high dye removal capacity challenge with sustainable, low-cost adsorbents. Recently, class easily functionalized, biorenewable cellulose nanoparticles called hairy nanocellulose has been developed. Electrosterically stabilized nanocrystalline (ENCC), which can be synthesized from wood pulp through two-step oxidation by periodate and chlorite, form negative charge density, thus potential adsorption...
The redox flow battery is a promising energy storage technology for managing the inherent uncertainty of renewable sources. At present, however, they are too expensive and thus economically unattractive. Optimizing batteries an active area research, with aim reducing cost by maximizing performance. This work addresses microstructural electrode optimizations providing modeling framework based on pore-networks to study multiphysics involved in battery, specific focus pore-scale structure its...
Porous electrodes are core components that determine the performance of redox flow batteries. Thus, optimizing their microstructure is a powerful approach to reduce system costs. Here we present pore network modeling framework and chemistry agnostic, iteratively solves transport equations in both half-cells, utilizes network-in-series simulate local phenomena within porous at low computational cost. In this study, critically assess versatility robustness models enable different electrode...
The microstructure of porous electrodes determines multiple performance-defining properties, such as the available reactive surface area, mass transfer rates, and hydraulic resistance. Thus, optimizing electrode architecture is a powerful approach to enhance performance cost-competitiveness electrochemical technologies. To expand our current arsenal materials, we need build predictive frameworks that can screen large geometrical design space while being physically representative. Here,...
In this study, an intelligent method was implemented for the detection and classification of chickens by infected Clostridium perfringens type A based on their vocalization. To aim, birds were first divided into two groups that placed in separate cages with 15 each. Chickens inoculated day 14. order to ensure absence secondary diseases probable effect bird vocalization, vaccines common administered. During 30 days experiment, chicken vocalization recorded every morning at 8 a.m. using a...
Traditional methods for detection of lead ions in water samples are costly and time-consuming. In this work, an accurate smartphone-based colorimetric sensor was developed utilizing a novel machine learning algorithm. the presence Pb2+ solution specifically functionalized gold nanoparticles, color turns from red to purple. Indeed, variation is proportional concentration. The smartphone camera captures corresponding change, image processed by efficient artificial intelligence protocol....
The main goal of Economic Dispatch (ED) is to determine the output generating unit with least cost while satisfying equality and inequality constraints. Valve-point effect, ramp rate limits, prohibited operation zones (POZs), Multiple-fuel transmission losses make ED a complicated, non-linear constrained problem. Hence, in this paper, new hybrid method based on modified particle swarm optimization genetic algorithm (MPSO-GA) proposed solve such complicated feasibility validated six, ten...
Vanadium redox flow batteries (VRFBs) are promising energy storage devices. The microstructure of the porous electrode affects performance VRFBs. Therefore, identifying optimized structures is an active research area. However, designing optimal microstructures requires studying varieties structural parameters and design cases using a modeling tool with low computational cost. In this study, pore network (PNM) framework was developed to study effects multi-layer electrodes on VRFB...
Traffic accidents cost about 3% of the world’s GDP and are leading cause death in children young adults. Accident risk maps useful tools to monitor mitigate accident risk. We present a technique generate high-resolution (5 meters) maps. At this high resolution, sparse estimation is limited by bias-variance trade-off. Prior either estimate low-resolution that low utility (high bias), or they use frequency-based techniques inaccurately predict where actually happen variance). To improve...
A machine learning (ML) model was developed to study the discharge behaviour of a LixNi0.33Mn0.33Co0.33O2 half-cell with particle-scale resolution. The ML could predict state-of-lithiation particles as function time and C-rate. Although direct numerical simulation has been well established in this area prevalent method modeling batteries, computational expense increases going from 1D-homogenized particle-resolved 3D models. present trained on total sixty different electrodes various lengths...
Abstract Nanomaterials are at the core of fuel cell electrodes, providing high‐area catalytic, proton, and electron conducting surfaces, traditionally on carbon black supports. Other carbons, e.g., nanotubes (CNTs) graphene less prone to oxidation; however, their handling is not trivial due health risks associated with size. Assembling them into microscale structures without jeopardizing performance ideal, but there mass transfer limitations as thickness increases. In this work, a soluble...
Energy trading among microgrids has been emerging as a promising solution to implement community microgrids, also known energy sharing communities. The key idea behind these communities is share the surplus in one microgrid with another that higher demand than its generation. objective of transactions can be monetary well optimizing system parameter. In this paper, we focus on for purpose power loss minimization. We assume form coalitions avoid exporting from utility grid or distant which...