Teaching assistant at Iran University of Science and Technology, Iran
Adib Mahmoodi Nasrabadi is a Mechanical Engineering graduate pursuing his Master’s at Iran University of Science and Technology. With a keen interest in thermodynamics, renewable energy, and optimization, he has excelled in projects related to microfluidic microbial fuel cells and renewable energy systems. Adib is skilled in various software tools including ANSYS-Fluent, CATIA, and MATLAB, and has practical experience in UPVC profiles manufacturing and composite products. His published papers reflect his expertise in energy analysis, deep learning optimization, and techno-economic analysis. Adib’s academic achievements include top rankings in national competitions and university exams, showcasing his dedication to excellence in engineering.
Professional Profiles:
Education:
Iran University of Science and Technology, Tehran Master of Science in Mechanical Engineering, 2019–Now GPA: 3.87/4 University of Kurdistan, Sanandaj Bachelor of Science in Mechanical Engineering, 2009–2013 GPA: 3/4 Bagherfani Qasre Shirin Diploma in Mathematics and Physics, 2005–2009 GPA: 4/4
Experiences:
Internships in UPVC profiles manufacturing and Composite products High school teacher during military service Mathematics, physics private teacher, and robotic instructor Teaching assistant at Iran University of Science and Technology
Interests:
Thermodynamics,Renewable Energy,Optimization,Neural Networks,Micro and Nano fluids,Heat Transfer,Computational Fluid Dynamics (CFD),Turbulence
Skills
Software: ANSYS-Fluent, ABAQUS, CATIA (Certified), AutoCAD, Solidworks, Thermoflow, MATLAB, Fortran, LATEX, Python, HYSYS, Origin Pro Geometrical Dimensions and Tolerances (GD&T) Measurement System Analysis Car Manufacturing International Standards General Computer Skills Manufacturing Process
Honors and Awards:
Ranked 2nd in Physic Lab-Science competition, Top 4 nationwide university entrance exam in Mathematics and Physics, Top 0.5 nationwide Master university exam in Mechanical Engineering
Research Focus:
Adib Mahmoodi Nasrabadi’s research primarily focuses on renewable energy systems, optimization techniques, and advanced energy technologies. His work encompasses the design, modeling, and optimization of renewable-based power generation systems, including solar-wind-driven multigeneration systems and biosensor-based microfluidic microbial fuel cells. Additionally, he delves into deep learning optimization for combined heat, power, and greenhouse systems for CO2 capturing. Adib’s expertise extends to techno-economic analysis and experimental investigations related to factors affecting the performance of micro microbial fuel cells. His contributions highlight his commitment to advancing sustainable energy solutions and optimizing energy processes for practical applications.
Publications
- 4E analysis of stacked microbial fuel cell as a component in power plants for power generation and water treatment; with a cost-benefit perspective, cited by: 4, Publication date: 2023.
- Design, modeling and optimization of a renewable-based system for power generation and hydrogen production, cited by: 48, Publication date: 2022.
- Energy analysis and optimization of a biosensor-based microfluidic microbial fuel cell using both genetic algorithm and neural network PSO, cited by: 24, Publication date: 2022.
- Techno-economic analysis and optimization of a proposed solar-wind-driven multigeneration system; case study of Iran, cited by: 21, Publication date: 2023.
- Deep learning optimization of a combined CCHP and greenhouse for CO2 capturing; case study of Tehran, cited by: 17, Publication date: 2022.
- Experimental investigation of factors affecting the micro microbial fuel cells’ main outputs, Publication date: 2023.
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