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Mr. Adib Mahmoodi Nasrabadi | Mechanical Engineering | Best Researcher Award

Mr. Adib Mahmoodi Nasrabadi,Florida Atlantic University, United States

Dr. Adib Mahmoodi Nasrabadi is a Mechanical Engineering Ph.D. graduate from Florida Atlantic University (2023). He holds a Masterā€™s degree in Mechanical Engineering from Iran University of Science and Technology (2019-2022), and a Bachelorā€™s degree from the University of Kurdistan (2009-2013). His research focuses on thermodynamics, renewable energy, and optimization, with expertise in CFD, micro and nanofluids, and thermal management. Adib has published several papers in prestigious journals, including the International Journal of Hydrogen Energy. He is proficient in various software tools like ANSYS-Fluent and Solidworks and programming languages like MATLAB and Python. šŸ› ļøšŸ“ŠšŸ“š

 

Publication Profile

Google Scholar

šŸŽ“ Education

Adib Mahmoodi Nasrabadi holds a Ph.D. in Mechanical Engineering from Florida Atlantic University (2023), an MSc in Mechanical Engineering from Iran University of Science and Technology (2019-2022, GPA: 3.87/4), and a BSc in Mechanical Engineering from the University of Kurdistan (2009-2013, GPA: 3/4).

šŸ… Honors and Awards

Adib has achieved significant academic honors, including top ranks in national exams and competitions.

 

Research Focus

Adib Mahmoodi Nasrabadi is a mechanical engineer specializing in thermodynamics, renewable energy, and thermal management. His research includes optimization using neural networks and genetic algorithms, focusing on micro and nano fluids and computational fluid dynamics (CFD). Adib’s work is characterized by a strong emphasis on energy systems, particularly microfluidic microbial fuel cells and renewable-based power generation. His expertise extends to software tools like ANSYS-Fluent and Solidworks, and programming languages such as MATLAB and Python. Adib’s contributions are reflected in numerous publications on energy analysis and optimization. šŸŒšŸ”‹šŸ§ŖšŸ’»šŸ“Š.

Publication Top Notes

  • Design, modeling and optimization of a renewable-based system for power generation and hydrogen production – JR Mehrenjani, A Gharehghani, AM Nasrabadi, M Moghimi. International Journal of Hydrogen Energy 47 (31), 14225-14242. Cited by: 51 (2022) šŸŒšŸ”‹
  • Energy analysis and optimization of a biosensor-based microfluidic microbial fuel cell using both genetic algorithm and neural network PSO – AM Nasrabadi, M Moghimi. International Journal of Hydrogen Energy 47 (7), 4854-4867. Cited by: 29 (2022) šŸ§ŖšŸ¤–
  • Techno-economic analysis and optimization of a proposed solar-wind-driven multigeneration system; case study of Iran – AM Nasrabadi, M Korpeh. International Journal of Hydrogen Energy 48 (36), 13343-13361. Cited by: 26 (2023) ā˜€ļøšŸŒ¬ļø
  • Deep learning optimization of a combined CCHP and greenhouse for CO2 capturing; case study of Tehran – AM Nasrabadi, O Malaie, M Moghimi, S Sadeghi, SM Hosseinalipour. Energy Conversion and Management 267, 115946. Cited by: 25 (2022) šŸŒ±šŸ”
  • Experimental investigation of factors affecting the micro microbial fuel cells’ main outputs – AM Nasrabadi, M Moghimi. Journal of Power Sources 564, 232871. Cited by: 10 (2023) šŸ§«šŸ”‹
  • 4E analysis of stacked microbial fuel cell as a component in power plants for power generation and water treatment; with a cost-benefit perspective – AM Nasrabadi, M Moghimi. Sustainable Energy Technologies and Assessments 53, 102742. Cited by: 9 (2022) šŸŒŠāš”
  • Full analysis and deep learning optimization of a sustainable and eco-friendly power plant to generate green hydrogen and electricity; a zero-carbon approach – P Asadbagi, AM Nasrabadi, CM Hall. Process Safety and Environmental Protection. 2024 šŸŒæšŸ”‹
Adib Mahmoodi Nasrabadi | Mechanical Engineering | Best Researcher Award

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