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Department of Industrial and Production Engineering (IPE)

AZMAIN RASHID RAIYAN

Lecturer, Department of Industrial and Production Engineering (IPE)

Contact:

Google Scholar: Azmain Rashid Raiyan | ResearchGate: Raiyan | LinkedIn: Azmain-Raiyan | GrabCAD: Raiyan-101

Education

          Islamic University of Technology (IUT)                                                                             Gazipur, Bangladesh

          B.Sc. Mechanical Engineering                                                                                                             2021-2025

  • Thesis: “Exergoeconomic analysis and multi-objective optimization of a nuclear-driven integrated cooling and power cycle using response surface regression modeling coupled with genetic algorithm.” Supervisor: Dr. Mohammad Monjurul Ehsan, Professor, Dept. of MPE, IUT.

Notre Dame College (NDC)

Dhaka, Bangladesh

Higher Secondary School Certificate (HSC), Science

2018-2020

Saint Joseph Higher Secondary School (SJS)

Dhaka, Bangladesh

Secondary School Certificate (SSC), Science

2010-2018

Publications

  1. A. R. Raiyan, Samiuzzaman, Y. Khan, M. M. Ehsan, M. R. Karim, and S. M. Siddique, “Exergoeconomic analysis and multi objective optimization of a nuclear driven integrated cooling and power cycle using response surface regression modeling coupled with genetic algorithm,” Energy Conversion and Management., vol. 337, p. 119836, Aug. 2025, doi: 10.1016/j.enconman.2025.119836. 
  2. A. R. Raiyan, S.Uzzaman, M. M. Ehsan, and Y. Khan, “Energy, exergy, exergoeconomic (3E) analyses and ANN-based multi-objective optimization of novel vortex tube and turbo-expander enhanced transcritical CO2 cogeneration cycles,” Energy Conversion and Management, vol. 345, p. 120385, Dec. 2025, doi: 10.1016/j.enconman.2025.120385. 
  3. A. R. Raiyan, M. M. Uzzaman, M. M. Ehsan, and Y. Khan, “Exergoeconomic assessment of a novel ejector recompression absorption cycle integrated with flash tank enhanced compression refrigeration cycle: ANN assisted genetic algorithm optimization,” Energy Conversion and Management: X, vol. 27, p. 101208, July 2025, doi: 10.1016/j.ecmx.2025.101208.

Research Interests

  • Supercritical Power Cycles
  • Transcritical Refrigeration and Power Cycles
  • Vapor Compression and Vapor Absorption  Refrigeration systems
  • Multi-effect Desalination System  
  • Integrated Cogeneration Cycles
  • Solar Renewable Energy
  • Jet Propulsion Engines 
  • Supersonic Flow Modeling
  • Ejector and Vortex Tube Integrated systems
  • Converging-Diverging Nozzles
  • Compressible Fluid Flow
 

Undergraduate Research Projects

Exergoeconomic analysis and multi-objective optimization of a nuclear driven integrated cooling and power cycle using response surface regression modeling coupled with genetic algorithm

    • Cascaded an advanced sCO2 power cycle with a series flow Double Effect Absorption Refrigeration cycle o Integrated response surface regression modeling with genetic algorithm for optimization o Proposed system demonstrated 65.53% EUF, 76.28% exergy efficiency and 9.87 $/GJ unit cost Journal: Energy Conversion and Management (Elsevier) | Impact Factor: 10.9 | Cite Score: 19.8
  • Extension of Undergraduate Thesis | https://doi.org/10.1016/j.enconman.2025.120385

Energy, exergy, exergoeconomic (3E) analyses and ANN-based multi-objective optimization of novel vortex tube and turbo-expander enhanced transcritical CO2 cogeneration cycles

    • Designed two novel Transcritical CO2 cycles for cogeneration employing vortex tube and turbo-expander o The turbo-expander cycle outperformed all the existing systems under baseline conditions
    • The vortex tube CO2 cycle obtained 65.46% EUF, 74.7% exergy efficiency and 6.45 $/GJ unit cost when optimized  Journal: Energy Conversion and Management (Elsevier) | Impact Factor: 10.9 | Cite Score: 19.8
  • Project under the course titled: Refrigeration and Air Conditioning | https://doi.org/10.1016/j.ecmx.2025.101208

Exergoeconomic assessment of a novel ejector recompression absorption cycle integrated with flash tank enhanced compression refrigeration cycle: ANN assisted genetic algorithm optimization

    • Cascaded an Ejector enhanced Recompression Absorption cycle with Flash Tank Injection Refrigeration system o The proposed system achieved a maximum COP of 1.76 and exergy efficiency of 84.68%   o Economically outperforms the existing systems as the calculated payback period is only 3.42 years Journal: Energy Conversion and Management: X (Elsevier) | Impact Factor: 7.6 | Cite Score: 11.3

Skills and Expertise

  • Programming: Python, MATLAB, Engineering Equation Solver (EES)
  • 3D Prototype Modeling: Autodesk Fusion 360
  • Animation and Graphical Rendering: Unreal Engine 5
  • Flow Simulation: Ansys Fluent
  • Post Processing and Data Curation: OriginLAB
  • Documentation and Presentation: Microsoft Word, Excel, PowerPoint and LaTeX
  • Descriptive Statistical Analysis: MINITAB and OriginLAB

Extracurricular Activities, Achievements, and Scholarships

  • IUT OIC Partial Scholarship for standing 71st in the Admission Exam
  • Bangladesh Physics Olympiad Competition
    1. Regional Winner, 16th position in Dhaka Division
    2. National Winner, 10th position in Bangladesh
    3. Master Camper at National Team Selection Camp
  • Online Physics Brawl Competition, Ranked 41st out of 1098 teams globally
  •  Saint Joseph Higher Secondary School Annual Science Festival Project Demonstration, 2nd position

AZMAIN RASHID RAIYAN

Lecturer Department of Industrial and Production Engineering (IPE) azmainrashid@iut-dhaka.edu