Advanced Photonic Couplers
Developed compact and efficient photonic couplers optimized for wideband operation and enhanced light coupling. Leveraged adjoint methods to achieve industry-leading efficiency and scalability for integrated photonic systems.
High-Performance Metasurfaces
Designed high-performance metasurfaces using adjoint optimization and deep learning techniques. Enabled precise light manipulation, significantly reducing sidelobe levels for advanced applications in imaging, sensing, and computing.
Dynamic Photonic Devices
Created reconfigurable photonic devices by integrating thermal and optical simulations. These designs utilize phase-change materials and multi-physics optimization to enable dynamic control of optical properties for versatile applications.
Innovative Metasurface Design
Applied Fourier-based and black-box optimization techniques to design large-area metasurfaces. Focused on efficiency, scalability, and robustness to fabrication imperfections, paving the way for practical implementation in photonic systems.
Dynamically Reconfigurable Metaphotonic Structures
Developed optical devices capable of real-time reconfiguration through external stimuli. Broadened the scope of metamaterials for adaptive functionalities in imaging and communication systems.
Fourier-AI Fusion for Metasurface Design
Combined Fourier transform techniques with artificial intelligence to optimize metasurface design. Improved efficiency and functionality, advancing applications in optical computing and sensing.
Integrated Photonic Neural Networks
Developed a silicon-based photonic neural network with integrated convolutional layers for direct optical signal processing. Demonstrated the feasibility of photonic-electronic integration to enhance computational capabilities.
Machine Learning for Photonic Nanostructures
Integrated novel machine learning approaches for inverse design and discovery of photonic nanostructures. Showcased the potential of AI to redefine traditional photonic design paradigms.
Invited Talks and Awards
Invited Talk: GT-MAP Seminar Series
Event: Georgia Tech Mathematics Applications Portal Seminar
Title: AI Approaches for Nanophotonic Structure Design
Date: November 2024
Presented advanced methodologies integrating artificial intelligence with photonic device design, highlighting the automation of workflows and optimization techniques.
Winning Conference Poster at Duke AMM Workshop
Event: Duke Advanced Multifunctional Materials (AMM) Workshop
Date: November 2024
Awarded one of the top three posters for the work titled “Hybrid Framework for Metasurface Optimization.” This research utilized advanced optimization techniques to surpass the efficiency of state-of-the-art topological optimization methods.
Laboratory Contributions
Characterization Systems in Ali Adibi Research Group
- Automated Angle-Resolved Setup: Designed for precise measurement of angular optical properties, enabling detailed analysis of photonic structures.
- Reflection and Transmission Measurement System: Implemented a system to evaluate optical performance under varying conditions.
- Specialized Equipment: Installed custom setups tailored for advanced research needs, ensuring comprehensive data collection.
Mentorship and Collaboration
AI-based Discovery and Innovation Group (VIP Program)
As a senior mentor, guided over 25 undergraduate and graduate students (until November 2024) in multidisciplinary projects at the intersection of AI and photonics:
- Optical Neural Networks: Enhanced speed and efficiency using optical computing principles.
- Computational Metamaterials: Designed materials with revolutionary properties through computational methods.
- Deep Learning for Nanophotonics: Applied AI to improve the design and functionality of photonic devices.
Outreach and Education
So You Wanna Be A Doctor Workshop
Location: Georgia Institute of Technology (May 2022)
Inspired 8th-grade students by introducing them to the importance of photonic technologies through engaging hands-on activities and demonstrations, fostering early interest in optical engineering.