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 AwardÂ
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