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

Prof. Dr. Zhongjie Guo, Xi’an University of Technology, China

Zhongjie Guo received his B.S. and M.S. degrees in Measurement and Control Technology and Instrumentation, and Circuit and System from Xidian University, China, in 2004 and 2007, respectively. He earned his Ph.D. degree in Microelectronics Engineering from Xi’an Microelectronic Technology Institute, China, in 2012. Currently, he is a professor at Xi’an Technological University, where his research focuses on the design of high-performance mixed-signal integrated circuits. With a strong academic background and expertise in microelectronics, Dr. Guo has contributed significantly to the field, advancing the development of integrated circuit technology.

Professional Profile:

Summary of Suitability for Best Researcher Award – Zhongjie Guo

Zhongjie Guo’s extensive academic background and ongoing contributions to the field of microelectronics make him a strong candidate for the Best Researcher Award. He earned his B.S. and M.S. degrees in measurement and control technology and instrumentation, and circuit and system from Xidian University in China, followed by a Ph.D. in microelectronics engineering from Xi’an Microelectronic Technology Institute in 2012. Currently, he serves as a professor at Xi’an Technological University, where his primary focus is the design of high-performance mixed-signal integrated circuits.

Education:

B.S. in Measurement and Control Technology and Instrumentation, Xidian University, China (2004)
M.S. in Circuit and System, Xidian University, China (2007)
Ph.D. in Microelectronics Engineering, Xi’an Microelectronic Technology Institute, China (2012)

Work Experience:

Current Position: Professor at Xi’an Technological University
- Specializes in the design of high-performance mixed signal integrated circuits.