Prof. Guanghao Huang | Optical sensors Awards | Best Researcher Award

Prof. Guanghao Huang | Optical sensors Awards | Best Researcher Award

Prof. Guanghao Huang, Qingdao University, China

Dr. Guanghao Huang is an Assistant Professor at the Institute for Future, Qingdao University, where he has served since April 2020. He holds a Ph.D. in Electronics Engineering from Pusan National University, South Korea, and previously earned an M.S. in Cogno-Mechatronics Engineering from the same institution. He also holds a B.Eng. in Electronics Engineering from Jilin Institute of Chemical Technology. Dr. Huang’s research focuses on integrated optical sensors, artificial intelligence, brain-computer interfaces (BCI), and functional near-infrared spectroscopy (fNIRS). He has been recognized with multiple best paper awards and a national scholarship from the Chinese Embassy in South Korea. His work has led to several patents in optical waveguide technologies and polarization devices.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award – Dr. Guanghao Huang

Dr. Guanghao Huang exemplifies research excellence in the fields of integrated optical sensors, brain-computer interfaces (BCI), artificial intelligence, and functional near-infrared spectroscopy (fNIRS). With a robust academic trajectory from Pusan National University and professional experience spanning both academia and industry, Dr. Huang is currently serving as an Assistant Professor at the Institute For Future, Qingdao University.

🎓 Education

  • 🧑‍🎓 Ph.D. in Electronics Engineering, Pusan National University, South Korea (2015.03 – 2020.02)

  • 📘 M.S. in Cogno-Mechatronics Engineering, Pusan National University, South Korea (2012.03 – 2014.08)

  • 💻 B.Eng. in Electronics Engineering, Jilin Institute of Chemical Technology, China (2006.09 – 2010.06)

💼 Work Experience

  • 🧑‍🏫 Assistant Professor, Institute for Future, Qingdao University, China (2020.04 – Present)

  • 🔬 Research Associate, Department of Electronics Engineering, Pusan National University (2014.08 – 2015.03)

  • 🛠️ Engineer, Beijing Rijin Automotive Systems Co., Ltd (2010.03 – 2012.01)

🏆 Patents & Achievements

  • 🔧 Apodized Gratings for Polymeric Waveguide Tunable Wavelength Filters (Patent No. 10-1759727, 2017)

  • 🔧 Integrated Optic Polarization Splitter via Total Internal Reflection (Patent No. 10-2018368, 2017)

  • 🔧 Broadband Integrated Optic Polarization Splitters (Patent No. 10-1923956, 2018)

🥇 Awards & Honors

  • 🇨🇳 2018: National Excellent Self-funded Scholarship (Excellence Award), Chinese Embassy in South Korea

  • 🏅 2017: Best Paper Award, 24th Optoelectronics & Optical Communications Conference

  • 🏅 2016: Best Paper Award, 23rd Optoelectronics & Optical Communications Conference

  • 🏅 2015: Best Paper Award, 24th Photonics Conference

  • 🏅 2013: Best Paper Award, 20th Optoelectronics & Optical Communications Conference

Publication Top Notes:

Development and Characterization of an Asymmetric MZI Temperature Sensor Using Polymer Waveguides for Extended Temperature Measurement Scopes

Physiological Noise Filtering in Functional Near-Infrared Spectroscopy Signals Using Wavelet Transform and Long-Short Term Memory Networks

Dr. Ehsan Adibnia | Photonic Crystals Awards | Best Researcher Award

Dr. Ehsan Adibnia | Photonic Crystals Awards | Best Researcher Award 

Dr. Ehsan Adibnia, University of Sistan and Baluchestan, Iran

Ehsan Adibnia is a dedicated academic researcher specializing in electrical engineering, with a focus on artificial intelligence, machine learning, deep learning, nanophotonics, and plasmonics. He obtained his Ph.D. from the University of Sistan and Baluchestan in Zahedan, Iran, in 2024, after completing his Bachelor’s degree in the same field in 2014. Ehsan actively engages in research projects, leveraging programming languages such as Python and MATLAB, and employing simulation software like Lumerical, COMSOL, and RSoft to implement algorithms and analyze data. His expertise spans various interdisciplinary applications, including optics, optoelectronics, metamaterials, and biosensors. Additionally, he has contributed to the academic community as a member of the executive committee for the 27th Iranian Conference on Optics and Photonics and the 13th Iranian Conference on Photonic Engineering and Technology, further demonstrating his commitment to advancing research and collaboration in the field.

Professional Profile:

ORCID

Research for Best Researcher Award 

Profile Overview: Ehsan Adibnia is an academic researcher with a Ph.D. in electrical engineering from the University of Sistan and Baluchestan, specializing in interdisciplinary fields such as artificial intelligence, machine learning, nanophotonics, and optics. His strong background in these areas, combined with hands-on research experience, positions him as a leading contributor to advancements in photonics and related technologies.

Education 🎓

  • Ph.D. in Electrical Engineering
    University of Sistan and Baluchestan, Zahedan, Iran (2024)
  • B.S. in Electrical Engineering
    University of Sistan and Baluchestan, Zahedan, Iran (2014)

Work Experience 💼

  • Academic Researcher
    Currently engaged in research projects focusing on artificial intelligence, machine learning, deep learning, nanophotonics, physics, optics, and plasmonics.

Achievements 🌟

  • Member of the Executive Committee
    Participated in organizing the 27th Iranian Conference on Optics and Photonics and the 13th Iranian Conference on Photonic Engineering and Technology, hosted by Sistan and Baluchestan University.

Publication Top Notes:

Chirped apodized fiber Bragg gratings inverse design via deep learning

A Compact and Fast Resonant Cavity-Based Encoder in Photonic Crystal Platform

High-speed all-optical symmetric 4 × 2 encoder using interface effects in two-dimensional photonic crystals

Nanophotonic structure inverse design for switching application using deep learning

Highly sensitive label-free biosensor: graphene/CaF<sub>2</sub> multilayer for gas, cancer, virus, and diabetes detection with enhanced quality factor and figure of merit