Ehsan Adibnia | Automated Learning | Best Researcher Award

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Dr. Ehsan Adibnia | Automated Learning | Best Researcher Award

Ph.D. Candidate at University of Sistan and Baluchestan, Iran

Ehsan Adibnia is a Ph.D. candidate in Electrical Engineering at the University of Sistan and Baluchestan, Iran. His expertise spans artificial intelligence, machine learning, nanophotonics, optics, plasmonics, and their interdisciplinary applications. Currently focused on research in deep learning, photonics, and nanophotonics, he applies advanced simulation software and programming languages like Python, MATLAB, and Visual Basic. Ehsan is also actively involved in academic committees, including the 27th Iranian Conference on Optics and Photonics. He has authored multiple scientific publications in renowned journals and contributed to reviews in the fields of industrial electronics and artificial intelligence. Through his work, he is pushing the boundaries of knowledge in areas like optical switching, biosensors, and quantum physics. His goal is to drive innovation through interdisciplinary research and provide impactful solutions for modern technological challenges. 🌐📚

professional profiles📖

Scopus Profile

ORCID

Education 🎓

Ehsan Adibnia completed his B.S. in Electrical Engineering from the University of Sistan and Baluchestan, Zahedan, Iran, in 2014. He is currently pursuing his Ph.D. in Electrical Engineering at the same institution, focusing on deep learning, nanophotonics, and machine learning applications in optics and plasmonics. His academic journey has been marked by a passion for integrating artificial intelligence with photonic technologies, a field that promises significant advancements in both theoretical and practical applications. Ehsan’s research also delves into quantum physics, solid-state physics, and biosensors. As part of his education, he is using programming tools such as MATLAB, Python, and specialized software like COMSOL and Lumerical to implement algorithms and analyze data. His academic achievements reflect his commitment to pushing the boundaries of electrical engineering and contributing to the growing body of knowledge in the interdisciplinary areas of his research. 🎓🔬

work Experience💼

Ehsan Adibnia’s professional experience spans both academia and industry. He has contributed significantly to research projects in the areas of artificial intelligence, deep learning, and photonics, publishing several papers in high-impact journals such as Scientific Reports and Optics & Laser Technology. He is a member of the executive committee for the 27th Iranian Conference on Optics and Photonics and has reviewed papers for multiple journals, including the International Journal of Industrial Electronics Control and Optimization. On the industrial side, Ehsan worked as a key member of the team responsible for PLC programming at Kerman Motor automotive factory, where he upgraded the paint shop’s PLC system to eliminate production line issues and improve safety. His technical expertise includes programming Mitsubishi PLCs and using software like Simatic Manager. Through this combination of academic research and practical experience, Ehsan has honed skills essential for technological innovation and system optimization. 🔧📊

Awards and Honors

Ehsan Adibnia’s work has been recognized both academically and professionally. He has received numerous accolades for his research in nanophotonics, machine learning, and optics. His contributions to the field of deep learning in photonics earned him recognition in the Scientific Reports, where several of his papers were published in 2023 and 2024. Ehsan has been awarded for his involvement in the executive committee of the Iranian Conference on Optics and Photonics, a prestigious academic event in the field. His technical expertise in PLC programming and systems optimization at Kerman Motor led to significant cost savings, preventing incidents and improving operational efficiency. Ehsan’s ongoing work in integrating machine learning with photonic design has positioned him as a leading figure in these cutting-edge fields. He is committed to contributing to the global community of researchers in his areas of expertise. 🏆🎖️

Research Focus

Ehsan Adibnia’s research focus centers on the integration of artificial intelligence, deep learning, and photonics to solve complex engineering challenges. Specifically, he explores the use of deep learning methods for the inverse design of all-optical nonlinear plasmonic ring resonator switches and the development of nanophotonic structures for switching applications. His work also extends to quantum physics, solid-state physics, and the application of machine learning in biosensors. One of his major research projects involves spectral prediction and inverse design of optical components using deep learning techniques, aiming to enhance the quality and performance of optical systems. His interdisciplinary approach combines fundamental physics with computational techniques to design innovative solutions in nanophotonics, optics, and plasmonics. Ehsan’s research aims to advance the theoretical understanding and practical applications of these technologies, with potential impacts on telecommunications, biomedical sensors, and quantum computing. 🔬💡

Skills

Ehsan Adibnia possesses a diverse set of skills essential for research and development in electrical engineering, nanophotonics, and machine learning. He is proficient in programming languages like MATLAB, Python, and Visual Basic, allowing him to develop algorithms and analyze large datasets. His expertise extends to simulation software such as Lumerical, COMSOL, and RSoft for photonics, making him adept at designing and simulating optical systems. Additionally, Ehsan is skilled in quantum physics, solid-state physics, and optoelectronics, focusing on the integration of artificial intelligence with photonic systems. He is also experienced in PLC programming, having worked on Mitsubishi and Siemens PLCs in the industrial sector. His contributions to deep learning, neural networks, and optical switching further highlight his broad technical knowledge. Moreover, Ehsan has experience with biosensors, metamaterials, and optical switching technologies. His interdisciplinary expertise makes him a versatile and innovative researcher in advanced engineering fields. 💻⚙️

Conclusion✅

Ehsan Adibnia is highly deserving of the Best Researcher Award due to his groundbreaking research in areas like nanophotonics, artificial intelligence, and deep learning, as well as his ability to apply these fields to real-world problems. His research not only pushes the boundaries of knowledge but also demonstrates significant industrial and societal impact. With continued development in international collaborations and public outreach, he is poised to become a leading figure in both academic and industry circles. His track record of innovative research, technical expertise, and academic contributions makes him an outstanding candidate for this prestigious award.

 

📚Publications to Noted

Chirped Apodized Fiber Bragg Gratings Inverse Design via Deep Learning

Authors: Ehsan Adibnia, V. Sepahvandi, M.A. Mansouri-Birjandi

Citations: Not available

Year: 2025

DOI: 10.1016/J.OPTLASTEC.2024.111766

High-speed All-optical Symmetric 4 × 2 Encoder Using Interface Effects in Two-dimensional Photonic Crystals

Authors: M. Shahi, H. Saghaei, T. Nurmohammadi, F. Bahloul, B. Jafari, A.S. Karar, Ehsan Adibnia

Citations: Not available

Year: 2024

DOI: 10.1364/AO.546599

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

Authors: M. Soroosh, F.K. AL-Shammri, M.J. Maleki, V.R. Balaji, Ehsan Adibnia

Citations: Not available

Year: 2024

DOI: 10.3390/cryst15010024

Nanophotonic Structure Inverse Design for Switching Application Using Deep Learning

Authors: Ehsan Adibnia, M. Ghadrdan, M.A. Mansouri-Birjandi

Citations: Not available

Year: 2024

DOI: 10.1038/s41598-024-72125-4

Highly Sensitive Label-Free Biosensor: Graphene/CaF₂ Multilayer for Gas, Cancer, Virus, and Diabetes Detection with Enhanced Quality Factor and Figure of Merit

Authors: B. Jafari, E. Gholizadeh, B. Jafari, Ehsan Adibnia et al.

Citations: Not available

Year: 2023

DOI: 10.1038/S41598-023-43480-5

Optimization in Engineering (Book)

Authors: Ehsan Adibnia

Citations: Not available

Year: 2023

Link: Press USB

Physical Foundations of Solid-State Devices (Book)

Authors: Ehsan Adibnia

Citations: Not available

Year: 2021

DOI: 10.13140/RG.2.2.11757.56806

Link: Press USB

The AI Diagnostician: Improving Medical Diagnosis with Artificial Intelligence (Book)

Authors: Ehsan Adibnia

Citations: Not available

Year: Not available

DOI: 10.5281/zenodo.11266851