Learning systems
Deep transfer learning for complex beam transmission.
Combining ACI with CNN-based restoration to compare optical compensation, learning methods, and hybrid approaches under atmospheric distortion.
Seeing Beyond Distortion
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Learn more about it hereComputational imaging / optics / deep learning
Reducing noise and distortion in complex optical systems.
I build imaging and sensing pipelines for turbulent atmospheres, Moire-based displacement measurement, and active optical compensation. My work combines optical physics, machine learning, simulation, and practical software for remote sensing.
Current lane
Computational imaging
Known for
Turning complex data into meaningful insights
Working style
Physics first, software close behind
Selected works
Projects that move from optics problem to working model.
Moire sensing
Remote sensing of ground motion with Moire patterns.
Developing non-contact displacement sensing for hazardous or inaccessible environments, including seismic-like motion and field deployment constraints.
Turbulence mitigation
Active Convolved Illumination for turbulent atmospheres.
Research on optical compensation methods that improve light transmission through turbulent media, including coherent beam propagation and remote sensing imagery.
Method
A research practice built around clarity under distortion.
The work starts with what the physics says the camera should see, then builds a computational pipeline around it and leverages machine learning for further enhancement.
Frame the optical constraint
Translate the physical scene, sensor behavior, and degradation model into an experiment that can be tested rather than only described.
Prototype the recovery path
Build simulations, data transforms, and learning loops that expose which assumptions survive contact with real imagery.
Measure what changed
Evaluate restoration, alignment, or sensing performance with metrics that match the scientific question and the downstream user.
Experience
Research, teaching, and technical execution.
Computational imaging and optics
Work spanning active optical compensation, atmospheric turbulence mitigation, Moire-based sensing, image analysis, and deep-learning workflows.
Scientific prototyping
Practical implementation in Python, MATLAB, C++, SQL, PyTorch, TensorFlow, COMSOL, numerical simulation, data preparation, model evaluation, and visual reporting.
Mentorship and instruction
Presenting optics, photonics, and imaging concepts through talks, demonstrations, and student-facing technical guidance. Served as a graduate instructor for Electrical Engineering courses and taught laboratory sections with more than 300 students.
Publications
Signals from the lab notebook.
Active Convolved Illumination with Deep Transfer Learning for Complex Beam Transmission through Atmospheric Turbulence
Journal of Electronic Imaging, 2026. A hybrid optical and deep-learning approach for improving complex beam transmission through atmospheric turbulence.
Remote Sensing of Dynamic Ground Motion via a Moire-Based Apparatus
Remote Sensing, 2026. A long-range, non-contact optical apparatus for measuring dynamic and seismic-like ground displacement.
Remote Sensing of Seismic Signals via Enhanced Moire-Based Apparatus Integrated with ACI
Remote Sensing, 2025. ACI-enhanced Moire sensing for remote displacement monitoring in challenging environments.
Enhancing Complex Light Beam Propagation in Turbulent Atmosphere with ACI
ACS Photonics, 2024. A framework for improving coherent light transmission through a turbulent atmosphere.
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