Sajjad Khanjani | Engineering | Best Researcher Award

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Mr. Sajjad Khanjani | Engineering | Best Researcher Award

Research Scientist | Kermanshah University of Technology | Iran

Dr. Sajjad Khanjani is an accomplished Advanced Energy Systems Engineer with over three years of experience in energy conversion, renewable energy integration, and system optimization. His expertise spans advanced modeling, simulation, and sustainable energy technologies, including solar, wind, smart energy, storage, and biomass systems. As a researcher and project leader at institutions such as the Daneshmand Research and Development Institute, Iran’s National Elites Foundation, and Kermanshah University of Technology, he has contributed extensively to experimental and analytical studies in desalination, energy harvesting, and thermodynamic optimization. Dr. Khanjani’s publication record is remarkable, featuring multiple high-impact papers in prestigious journals such as Applied Thermal Engineering, Energy, Environmental Progress and Sustainable Energy, and Cleaner Engineering and Technology. His recent works focus on advanced solar distillation, hybrid nanofluid applications, and biohydrogen production, reflecting his commitment to advancing sustainable energy-water nexus solutions. His technical proficiency covers a wide array of tools, including MATLAB, Python, ANSYS Fluent, Transys, Autodesk Inventor, and Aspen Hysys, supporting his deep analytical and design capabilities. Beyond research, he has demonstrated leadership by managing interdisciplinary projects on clean energy and guiding undergraduate research initiatives. Recognized for his achievements, he has received multiple awards from Iran’s National Elites Foundation, ranking among the top M.Sc. students in Mechanical Engineering. His current projects on optimizing hybrid desalination systems and machine learning-based energy optimization highlight his innovative approach toward achieving environmental sustainability and energy efficiency. With his strong academic background, impactful research contributions, and leadership in advanced energy technologies, Dr. Sajjad Khanjani exemplifies the qualities of an outstanding candidate for the Best Researcher Award.

Profiles: Google Scholar | LinkedIn | ResearchGate

Featured Publications

Khanjani, S., & Co-authors. (2025). Experimental optimization of modified solar distillation system using black horse algorithm and 6E/HT analysis for sustainable freshwater production. Cleaner Engineering and Technology, Elsevier.

Khanjani, S., & Co-authors. (2025). Photo-fermentation: Harnessing solar energy for biohydrogen production. In Book Chapter, Elsevier.

Khanjani, S., & Co-authors. (2025). Performance enhancement of a conventional solar still using a cylindrical solar water heater and Cu/Al2O3 hybrid nanofluid: A sustainable approach to water purification. Water Environment Research.

Khanjani, S., & Co-authors. (2025). Comprehensive analysis of a geothermal-based poly-generation plant to achieve optimal exergy, economic, and environmental performance. Energy.

Khanjani, S., & Co-authors. (2024). Experimental and analytical examinations of a single-glazed solar still desalination with a spray-feeding water system with an artificial neural network. Applied Thermal Engineering.

Muhammad Shahzeb | Mechanical Engineering | Best Researcher Award

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Mr. Muhammad Shahzeb | Mechanical Engineering | Best Researcher Award

Master Degree Student at Sichuan University, Pakistan.

Mr. Muhammad Shahzeb is a mechanical engineer with expertise in structural design, mechanical failure analysis, and telecom infrastructure. He is currently pursuing an MS in Mechanical Engineering at Sichuan University, focusing on reliability analysis of silicon microstructures with multilayer thin films. With experience at Next Level Communications and China State Shipbuilding Corporation, he has worked on mechanical system design, integration, and performance optimization. His research interests lie in advanced materials, reliability engineering, and structural optimization for mechanical applications.

Publication Profile

Google Scholar

Educational Details

  • MS Mechanical Engineering (2022 – 2025) – Sichuan University, Chengdu, China
    • Thesis: Advanced Reliability Analysis of Fully Coated Silicon Microstructures with Multilayer Thin Films
  • BS Mechanical Engineering (2016 – 2020) – Jiangsu University of Science and Technology, Zhenjiang, China
    • Thesis: Structural Design of Cable Take-up Machine

Professional Experience

  • Mechanical Engineer, Next Level Communications (Pvt.) Limited (Jul 2020 – Jan 2023) – Islamabad, Pakistan

    • Designed and reviewed mechanical schematics for power systems and telecom infrastructure, ensuring multi-vendor equipment compatibility.
    • Led the installation and commissioning of mechanical components, improving system efficiency by 20%.
    • Conducted root cause analysis of mechanical failures, reducing downtime by 25%.
    • Worked with cross-functional teams to integrate mechanical systems into next-generation telecom networks.

  • Mechanical Engineer, China State Shipbuilding Corporation (CSSC) (Jun 2019 – Dec 2019) – Zhenjiang, China

    • Assisted in analyzing mechanical systems, conducting tests, and identifying areas for improvement.
    • Ensured safety and operational standards compliance through inspections and checks.
    • Conducted research on innovative mechanical engineering technologies and solutions.
    • Supported inspection, repair, and overhaul of mechanical systems in ships and facilities.

Research Interest

  • Reliability analysis of silicon microstructures with multilayer thin films
  • Structural design and optimization of mechanical systems
  • Mechanical failure analysis and maintenance strategies
  • Advanced materials and coatings for mechanical components

Top Noted Publication

  • Title: An Enhanced Gas Sensor Data Classification Method Using Principal Component Analysis and Synthetic Minority OverSampling Technique Algorithms
  • Authors: Zeng, X., Shahzeb, M., Cheng, X., Shen, Q., Xiao, H., Xia, C., Xia, Y., Huang, Y., Xu, J., & Wang, Z.
  • Year: 2024
  • Journal: Micromachines
  • Volume & Issue: 15(12), 1501
  • DOI: 10.3390/mi15121501

Conclusion

Muhammad Shahzeb is a promising researcher with a strong technical background, diverse professional experience, and a growing research profile. His contributions to gas sensor data classification, mechanical system optimization, and reliability analysis highlight his potential as a leading researcher in mechanical engineering.

While he has demonstrated excellence in applied research, mechanical system analysis, and cross-disciplinary innovation, further expansion in publication record, research funding, and academic collaboration would strengthen his case for a Best Researcher Award. With continued efforts in high-impact research and industry partnerships, he would be a strong contender for this recognition.