Arash Mahboubidoust | Renewable Energy | Member

Dr. Arash Mahboubidoust | Renewable Energy | Member

PHD at Babol Noshirvani University of Technology, Iran

Arash Mahboubidoust, born March 31, 1990, in Amol, Iran, holds a Ph.D. in Mechanical Engineering from Babol Noshirvani University of Technology. With expertise in microfluidics and cell separation, he contributed significantly to research, earning accolades including the Iranian Nobel prize and first rank Ph.D. graduate. Arash served as a board member at Tapesh startup, focusing on orthodontic clear aligners. Currently, he excels as a designer and expert in water supply networks at the Water and Wastewater Company. Arash’s leadership extends to mentoring students and his interests include fluid mechanics and thermodynamics. He epitomizes a versatile professional with a passion for innovation in engineering.

Professional Profiles:

Education

He pursued his academic journey in Mechanical Engineering at Babol Noshirvani University of Technology, Iran. He completed his B.Sc., M.Sc., and Ph.D. in Mechanical Engineering in 2012, 2015, and 2022, respectively. His academic theses reflected his expertise in various areas such as central heating and air conditioning system design, aerodynamic control of airfoil through plasma actuation, and experimental investigation of particle manipulation in microfluidics.

Work Experiences

Arash’s professional journey exhibits a diverse range of experiences. From 2017 to 2022, he served as a board member and designer of invisible orthodontic clear aligners at Tapesh startup. He also contributed significantly to the establishment and operation of the Microfluidics and BioMEMS Laboratory at Babol Noshirvani University of Technology. His work in microfluidics and cell separation methods led to several published papers and conference presentations. Since March 2022, Arash has been engaged as a designer and expert in water supply network transmission and distribution lines at the Water and Wastewater Company. His responsibilities include designing water distribution networks, transmission lines, and pumping stations.

Interests and Hobbies

Arash’s research interests span across microfluidics, cell focusing and separation, acoustophoresis, and viscoelastic fluid flow. In his leisure time, he enjoys engaging in activities related to his research interests and exploring new avenues in fluid mechanics and thermodynamics.

Research Focus:

Arash Mahboubidoust’s research primarily focuses on advancing microfluidic technologies for various applications. He has made significant contributions to the field, particularly in the design and optimization of microfluidic channels for the separation of circulating tumor cells (CTCs) using innovative methods such as surface acoustic waves (TSAWs) and dielectrophoresis (DEP). Additionally, his work encompasses investigating the aerodynamic performance of different systems, including the effect of plasma actuators on airfoil dynamics and the optimization of Wells turbines. Through numerical simulations and experimental studies, Mahboubidoust explores novel techniques to enhance fluid dynamics and particle manipulation in microscale systems.

Publications

  1. Design of a novel optimized microfluidic channel for CTCs separation utilizing a combination of TSAWs and DEP methods, Publication: 2021.
  2. Investigation of DBD plasma actuator effect on the aerodynamic and thermodynamic performance of high solidity Wells turbine, Publication: 2017.
  3. Investigation of steady plasma actuation effect on aerodynamic coefficients of oscillating airfoil at low Reynolds number, Publication: 2017.
  4. Design of an optimized ECCA microchannel for particle manipulation utilizing dean flow coupled elasto-inertial method, Publication: 2021.
  5. Development of a hybrid acousto-inertial microfluidic platform for the separation of CTCs from neutrophilPublication: 2023.
  6. Numerical simulation of same-sized cells focusing and separation with surface acoustic waves, Publication: 2021.
  7. Analyzing the exergy and aerodynamic performance of Wells turbine near stall, Publication: 2018.
  8. Investigating the effect of magnetic field on the forced convection of cross-corrugated triangular channelsPublication: 2018.
  9. Simultaneous Investigation of Flexibility and Plasma Actuation Effects on the Aerodynamic Characteristics of an Oscillating Airfoil, Publication: 2016.
  10. Numerical investigation of plasma actuated and non-actuated Gurney flaps on aerodynamic characteristics of a plunging airfoil, Publication: 2015.
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Adib Mahmoodi Nasrabadi | Renewable energy | Member

Mr. Adib Mahmoodi Nasrabadi | Renewable energy | Member

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 

  1. 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.
  2. Design, modeling and optimization of a renewable-based system for power generation and hydrogen production, cited by:  48, Publication date: 2022.
  3. 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.
  4. Techno-economic analysis and optimization of a proposed solar-wind-driven multigeneration system; case study of Iran, cited by: 21, Publication date: 2023.
  5. Deep learning optimization of a combined CCHP and greenhouse for CO2 capturing; case study of Tehran, cited by: 17, Publication date: 2022.
  6. Experimental investigation of factors affecting the micro microbial fuel cells’ main outputs, Publication date: 2023.

 

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