Dr. Mina Noori | Infrared Award | Best Researcher Award

Dr. Mina Noori | Infrared Award | Best Researcher AwardΒ 

Dr. Mina Noori, Sahand University of Technology, Iran

Dr. Mina Noori, Iran, is an Associate Professor of Electrical Engineering at Sahand University of Technology (SUT), Tabriz, Iran. She earned her Ph.D. in Electronics and Optical Engineering from Shahid Chamran University of Ahvaz in 2015, following her M.Sc. and B.Sc. in Electrical Engineering from Tabriz University. She specializes in photonic crystals, optical sensors, plasmonic devices, and semiconductor lasers. Dr. Noori has received multiple academic distinctions, including first rank in both her M.Sc. and Ph.D. studies. She leads the Nano-Optic and Photonic Research Lab (NOPRL) at SUT and has held various academic leadership roles. Her research focuses on quasi-periodic structures, optical filters, lasers, and advanced photonic materials.

Professional Profile:

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ORCID

Summary of Suitability for Best Researcher Award

Dr. Noori is a highly accomplished researcher in the field of Electrical and Optical Engineering, with extensive experience in photonic crystals, optical sensors, and semiconductor devices. His academic achievements, including first-rank distinctions in M.Sc. and Ph.D., highlight his exceptional research capabilities. As an Associate Professor and head of multiple research groups at Sahand University of Technology, he has significantly contributed to advancements in nano-optics and photonics. His impactful publications, with numerous citations, demonstrate his influence in the field, making him a strong candidate for the Best Researcher Award.

πŸ“š Education

  • πŸŽ“ Ph.D. in Electronics and Optical Engineering – Shahid Chamran University of Ahvaz, Iran (2012 – 2015)
    • πŸ† First Rank with an average of 19.34
    • πŸ“– Thesis: β€œDesign of self-collimating structures based on photonic crystals”
  • πŸŽ“ M.Sc. in Design of OIC – University of Tabriz, Iran (2010 – 2012)
    • πŸ† First Rank with an average of 19.13
    • πŸ“– Thesis: β€œExtraction efficiency enhancement in white organic light emitting diodes (WOLED) based on periodic and quasi-periodic structures”
  • πŸŽ“ B.Sc. in Electrical Engineering – University of Tabriz, Iran (2006 – 2010)
    • πŸ“– Thesis: β€œControlling the speed of a DC motor using microcontroller”

🏒 Work Experience

  • πŸ‘¨β€πŸ« Associate Professor, Sahand University of Technology (SUT) – Jul 2016 – Present
  • πŸ”¬ Head of Nano-Optic and Photonic Research Lab (NOPRL) – Sep 2017 – Present
  • 🎯 Head of Brilliant Talented Students in SUT – Oct 2019 – Present
  • ⚑ Head of Electronic Group, SUT – Sep 2018 – Oct 2020
  • πŸ“– Teaching Experience:
    • Electronics I, Electronics Lab (I & II), Measurement Lab, Basics of Electrical Engineering, Digital Circuit Lab
    • Photonic Crystals, Laser, Solid-State Physics, Semiconductor Devices, Optical Sensors, Optical Fibers
    • Applications of Optoelectronics, Physics of Electronics, Special English for Electrical Engineering Students

πŸ† Awards & Honors

  • 🌟 Bright Talented Student in B.Sc. and M.Sc.
  • πŸ… First Rank in M.Sc. & Ph.D. with outstanding academic performance
  • πŸŽ–οΈ Recognized for research in quasi-periodic structures, solar cells, photonic crystals, semiconductor lasers, and optical sensors

PublicationΒ Top Notes:

A comprehensive comparison of photonic band gap and self-collimation based 2D square array waveguides

CITED:60

Highly efficient self-collimation based waveguide for Mid-IR applications

CITED:52

Self‐collimation in photonic crystals: applications and opportunities

CITED:50

Highly efficient gas sensor based on quasi-periodic phononic crystals

CITED:33

Investigation of quasi-periodic structures to increase the efficiency of thin-film silicon solar cells: A comparative study

CITED:27

Assoc. Prof. Dr. Xiaoyan Li | Infrared Sensing Awards | Best Researcher Award

Assoc. Prof. Dr. Xiaoyan Li | Infrared Sensing Awards | Best Researcher AwardΒ 

Assoc. Prof. Dr. Xiaoyan Li, Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences, China

Xiaoyan Li is an Associate Researcher at the Hangzhou Institute of Advanced Study, UCAS, in Hangzhou, China. Her research expertise lies in space-based infrared detection, geometric calibration for space-based optical payloads, geometric positioning, and the intelligent processing and application of remote sensing images. She earned her Ph.D. from the Shanghai Institute of Technical Physics, Chinese Academy of Sciences, and completed a post-doctoral fellowship at the Hangzhou Institute of Advanced Study, UCAS.

Professional Profile:

SCOPUS

Summary of Suitability for the Best Researcher Award: Xiaoyan Li

Xiaoyan Li is an exceptional candidate for the Best Researcher Award due to her extensive contributions and ongoing impact in the field of remote sensing and infrared detection. Her academic and research trajectory showcases a strong commitment to advancing scientific knowledge and technology, making her a standout figure in her discipline.

πŸ“š Education

πŸŽ“ Ph.D.: Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China (2016.09 – 2021.06)
Specialization: Space-based infrared detection and remote sensing.

πŸ’Ό Work Experience

πŸ‘©β€πŸ”¬ Associate Researcher: Hangzhou Institute of Advanced Study, UCAS, Hangzhou, China (2023.10 – Present)

  • Research interests: Space-based infrared detection, geometric calibration for optical payloads, geometric positioning, intelligent remote sensing image processing.

πŸ”¬ Post-Doctoral Researcher: Hangzhou Institute of Advanced Study, UCAS, Hangzhou, China (2021.06 – 2023.10)

πŸ† Achievements and Honors

🌟 Research Contributions:

  • Presided over 8 major projects, including:
    • National Natural Science Foundation of China – Youth Fund Project (2023–2025)
    • Chinese Academy of Sciences Forward-looking Strategic Science and Technology Pilot Project (2023–2025)
    • Open Project of State Key Laboratory of Infrared Physics (2024–2026)
    • Research Funds of Hangzhou Institute for Advanced Study, UCAS (2024–2027)

Publication Top Notes:

 

Infrared moving small-target detection using strengthened spatial-temporal tri-layer local contrast method

High-resolution thermal infrared contrails images identification and classification method based on SDGSAT-1

On-orbit imager installation angles estimation and compensation based on time-series prediction method for GEO optical satellite

A trajectory prediction method for boost phase BM based on adaptive tracking and GPR

Thin-Plate-Spline-Based Registration for Correcting Local Nonlinear Deformation of Bidirectional Whisk-Broom Images