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Mr. NAVEED ULLAH | Machine Learning Applications in Thermodynamics | Best Researcher Award

Ph. D. Program Student, at Kyungpook national university, South Korea📖

Naveed Ullah is a Pakistani graduate student pursuing a Master’s in Mechanical Engineering at Kyungpook National University (KNU), South Korea. With a background in heat transfer and energy systems, he is dedicated to research in micro-channel heat exchangers, energy systems optimization, and advanced materials for energy storage. Naveed has also made significant contributions in microsystems and nanoengineering, focusing on developing supercapacitors and biofuel cells.

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Education Background🎓

Naveed holds a Master’s degree in Mechanical Engineering from Kyungpook National University, where he achieved a final grade of 3.47/4.3. His thesis focused on the modeling and optimization of a micro-channel gas cooler for transcritical CO2 mobile air-conditioning systems. He earned his Bachelor’s degree in Mechanical Engineering from International Islamic University, Pakistan, with a final grade of 3.05/4.0, where his thesis involved designing heat exchangers as per ASME and TEMA standards

Professional Experience🌱

Naveed has worked as a University Research Assistant at KNU’s HT&ES Research Lab and Microsystems & Nanoengineering Research Lab. At the HT&ES lab, he contributed to the simulation and optimization of microchannel heat exchangers and conducted miscibility analysis for refrigerants with oils. He developed experimental setups for ammonia and oil miscibility analysis for automotive and marine applications. At the Microsystems & Nanoengineering lab, Naveed has been leading research on the development of supercapacitors using COF materials and microfluidic enzymatic biofuel cells, employing advanced microfabrication techniques.

Research Interests🔬

Naveed’s research interests include heat transfer, energy systems optimization, micro-channel heat exchangers, and advanced materials for energy storage and conversion. He is particularly interested in the development of supercapacitors using COF materials, as well as the application of microfluidic systems for biofuel cells.

Author Metrics 

Naveed has presented his work at conferences such as SAREK 2022 and 2023, focusing on simulations and performance optimization of gas coolers for automotive air conditioning systems. He has been recognized with several awards, including the Best Graduate Student Award from Kyungpook National University in 2023, and has received the International Ambassador Award in 2022. He was also the recipient of a KING scholarship during his MS degree and multiple academic distinctions throughout his education.

Publications Top Notes 📄

1. “Modeling and Optimization of a Micro-Channel Gas Cooler for a Transcritical CO2 Mobile Air-Conditioning System”

  • Authors: Naveed Ullah, Shehryar Ishaque, M.H. Kim, S. Choi
  • Journal: Machines
  • Volume: 10
  • Issue: 12
  • Article Number: 1177
  • Year: 2022
  • Abstract: This paper discusses the modeling and optimization of a micro-channel gas cooler (MGC) used in the transcritical CO₂ cycle of mobile air-conditioning systems. The paper focuses on improving the heat exchange performance and optimizing the design parameters for maximum efficiency.
  • DOI: 10.3390/machines10121177

2. “A Comparative Analysis of Machine Learning Techniques for Predicting the Performance of Microchannel Gas Coolers in CO2 Automotive Air-Conditioning Systems”

  • Authors: M.H.K. Shehryar Ishaque, Naveed Ullah
  • Journal: Energies
  • Volume: 17
  • Issue: 20
  • Article Number: 5086
  • Year: 2024
  • Abstract: This paper compares various machine learning techniques to predict the performance of microchannel gas coolers in CO₂-based automotive air-conditioning systems. The focus is on the accuracy and applicability of different algorithms in forecasting the cooler’s efficiency and operational performance.
  • DOI: 10.3390/en17205086

3. “Predictive Modeling Study on Thermo-Hydraulic Performance of Microchannel Gas Cooler Based on Neural Network”

  • Authors: S. Ishaque, M.I.H. Siddiqui, N. Ullah, M.H. Kim
  • Conference: 한국태양에너지학회 학술대회논문집 (Korean Solar Energy Society Conference Proceedings)
  • Pages: 184-184
  • Year: 2023
  • Abstract: This study utilizes neural networks to predict the thermo-hydraulic performance of microchannel gas coolers. The model was designed to enhance the accuracy of heat transfer predictions for CO₂-based systems, particularly in automotive applications.

4. “Performance Optimization of Microchannel Gas Cooler for Transcritical CO₂ Mobile Air-Conditioning System”

  • Authors: S. Ishaque, N. Ullah, M.H. Kim
  • Conference: 대한설비공학회 학술발표대회논문집 (Korean Society of Air-Conditioning and Refrigeration Conference Proceedings)
  • Pages: 71-75
  • Year: 2022
  • Abstract: This paper focuses on optimizing the performance of microchannel gas coolers used in transcritical CO₂ mobile air-conditioning systems. It explores the influence of key design factors on system performance and proposes strategies for performance improvement.

5. “Microchannel Gas Cooler Simulation for Transcritical CO2 Cycle in Automotive A/C Systems”

  • Authors: MHK Naveed Ullah, Shehryar Ishaque
  • Conference: SAREK Conference, South Korea
  • Pages: 67-70
  • Year: 2022
  • Abstract: This conference paper presents simulations of microchannel gas coolers within a transcritical CO₂ cycle for automotive air-conditioning systems. The focus is on the simulation models that predict the cooling performance and potential for efficiency improvements in the system.
Conclusion

Based on his innovative research, strong academic foundation, and significant contributions to energy systems optimization, Mr. Naveed Ullah is undoubtedly a strong contender for the Best Researcher Award. His focus on micro-channel gas coolers, CO₂-based systems, and the use of machine learning demonstrates his commitment to solving real-world energy challenges, positioning him as a future leader in the field.

To further enhance his research trajectory, expanding interdisciplinary collaborations, commercializing his innovations, and focusing on real-world implementation of his models could elevate his work to new heights, making a significant impact on both the academic community and industrial sectors.

Thus, Naveed Ullah is highly deserving of the Best Researcher Award, and with continued focus on the areas of improvement, he is poised to become a key contributor to the fields of energy systems, heat transfer, and sustainable technology development.

NAVEED ULLAH | Machine Learning Applications in Thermodynamics | Best Researcher Award

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