Pouya Farshbaf Aghajani | Food Chemistry and Engineering | Editorial Board Member

Published on by Cognitive Scientist Awards

Dr. Pouya Farshbaf Aghajani | Food Chemistry and Engineering | Editorial Board Member

University of Tehran | Iran

Pouya Farshbaf Aghajani is a highly accomplished food engineer whose academic journey spans advanced studies in food science at the University of Tehran and a foundational background in biosystem engineering from the University of Tabriz. He has consistently excelled in his education, earning top ranks and securing competitive scholarships while completing rigorous research on ultrasound-assisted cultivation, sustainable extraction methods, and innovative approaches in food quality enhancement. His professional experience includes teaching and mentoring within the Scientific Research Association at the University of Tehran, evaluating scholarly work as a certified reviewer for reputable journals, and managing editorial responsibilities as an assistant editor-in-chief, all of which highlight his commitment to scientific accuracy and academic development. Pouya’s research interests integrate energy-efficient processing, advanced ultrasound applications, food safety technologies, and artificial intelligence, supported by strong technical proficiency in laboratory instrumentation, engineering software, and analytical tools, alongside excellent communication and teamwork skills. His achievements have been recognized through multiple academic honors that reflect his dedication and leadership in the field. Overall, Pouya stands out as a promising food engineering specialist whose innovative mindset, teaching contributions, and sustainable research vision position him as an impactful scholar with strong potential for continued advancement in scientific and professional arenas.

Profile: Googlescholar

Featured Publications

Aghajani, P. F., Firouz, M. S., & Bohlol, P. (2024). Revolutionizing mushroom identification: Improving efficiency with ultrasound-assisted frozen sample analysis and deep learning techniques. Journal of Agriculture and Food Research, 15, 100946.

Chamgordani, P. A., Firouz, M. S., Omid, M., Hadidi, N., & Aghajani, P. F. (2024). Dual-stage ultrasound in deep frying of potato chips: Effects on the oil absorption and the quality of fried chips. Ultrasonics Sonochemistry, 103, 106779.

Aghajani, P. F., Firouz, M. S., & Chamgordani, P. A. (2023). The improvement of freezing time and functional quality of frozen mushrooms by application of probe-type power ultrasound. Ultrasonics Sonochemistry, 100, 106637.

 

 

Jingjun Lin | Laser-Induced Breakdown Spectroscopy (LIBS) | Best Researcher Award

Published on by Cognitive Scientist Awards

Dr. Jingjun Lin | Laser-Induced Breakdown Spectroscopy (LIBS) | Best Researcher Award

Dr. Jingjun Lin is a Lecturer at Changchun University of Technology, specializing in laser-induced breakdown spectroscopy (LIBS) and advanced spectral analysis. He has made significant contributions to the field of spectroscopy, materials science, and machine learning-based classification techniques. As an active researcher, he has published extensively in high-impact journals, advancing applications in metal analysis, additive manufacturing, and biomedical diagnostics. With experience as a visiting scholar at Tokushima University, Japan, Dr. Lin continuously explores innovative methodologies to improve spectral detection accuracy. His interdisciplinary expertise bridges spectroscopy, physics, and artificial intelligence. ✨🔬📊

Profile

Education 🎓

  • 🏛 Ph.D. Changchun University of Technology (2015-2018), with research at Huazhong University of Science and Technology (2018)
  • 🎓 Master’s Degree Changchun University of Technology (2012-2015)
  • 🎓 Bachelor’s Degree Changchun University of Technology (2008-2012)
    Dr. Lin’s academic journey reflects a deep commitment to the study of spectroscopy, laser-induced breakdown analysis, and materials science. His research focuses on enhancing spectral analysis techniques and applying machine learning models to spectroscopy data. His Ph.D. research involved novel LIBS applications for material classification and defect detection, further refined during his studies at Huazhong University of Science and Technology. 📚🔍🎯

Experience 👨‍🏫

  • Visiting Scholar Tokushima University, Japan (2023-2024) 🌍
  • Lecturer Changchun University of Technology (2019-Present) 🏛
    Dr. Lin has been an academic professional dedicated to teaching and research in laser-induced breakdown spectroscopy (LIBS), spectroscopic data fusion, and materials analysis. His tenure as a lecturer at Changchun University of Technology involves mentoring students and leading research projects. As a visiting scholar at Tokushima University, he gained international exposure, refining his expertise in advanced laser spectroscopy and its industrial applications. 🧑‍🔬📖✨

Awards & Recognitions 🏅

Dr. Lin has received multiple research grants and recognition for his contributions to spectroscopy and analytical chemistry. His papers have been published in high-impact journals such as Analytical Methods, Journal of Analytical Atomic Spectrometry, and Talanta. His innovative work on LIBS and Raman spectroscopy fusion for lung cancer diagnosis has been acknowledged for its potential clinical applications. 🏅📜🔬

Research Interests 🔬

Dr. Lin specializes in laser-induced breakdown spectroscopy (LIBS), machine learning-enhanced spectral analysis, and multi-modal spectroscopy fusion. His work includes:

  • Metal additive manufacturing defect detection using LIBS 🏭
  • Biomedical applications, including lung cancer classification with spectroscopy 🏥
  • Data fusion of LIBS and Raman spectroscopy for improved accuracy 🤖📊
  • Spectral enhancement techniques for more precise material identification 💡
    His interdisciplinary research aims to push the boundaries of LIBS applications in industry, healthcare, and environmental monitoring. 🚀🔍

Publications