Systematic design of superprism-based photonic crystal demultiplexers. - Babak Momeni; Ali Adibi (IEEE J. Sel. Areas Commun., 2005)

M-ary, Binary, and Space-Volume Multiplexing Trade-offs for Holographic Channels. - Shayan Garani Srinivasa; Omid Momtahan; Arash Karbaschi; Steven W. McLaughlin; Ali Adibi; Faramarz Fekri (GLOBECOM, 2006)

Multilevel coding and multistage decoding for M-ary two-dimensional ISI channels. - Jiaxi Xiao; Arash Karbaschi; Ali Adibi; Steven W. McLaughlin (CISS, 2009)

Adaptive Optics Based Telescope Arrays Receiver for Compensation of Optical Turbulence Effects in a Deep-Space Optical Communication Link with Mars. - Ali J. Hashmi; Ali A. Eftekhar; Ali Adibi; Farid Amoozegar (GLOBECOM, 2009)

Wiener Chaos Expansion and Simulation of Electromagnetic Wave Propagation Excited by a Spatially Incoherent Source. - Majid Badieirostami; Ali Adibi; Haomin Zhou 001; Shui-Nee Chow (Multiscale Model. Simul., 2009)

Real-Time Multispectral Imager for Home-Based Health Care. - Dingrong Yi; Chao Wang; Hairong Qi 001; Linghua Kong; Fengtao Wang; Ali Adibi (IEEE Trans. Biomed. Eng., 2011)

Statistical analysis and performance evaluation of optical array receivers for deep-space optical communications under random tracking errors. - Ali J. Hashmi; Ali A. Eftekhar; Ali Adibi; Farid Amoozegar (Phys. Commun., 2018)

Deep learning approach based on dimensionality reduction for designing electromagnetic nanostructures. - Yashar Kiarashinejad; Sajjad AbdollahRamezani; Ali Adibi (CoRR, 2019)

Deep Learning Reveals Underlying Physics of Light-matter Interactions in Nanophotonic Devices. - Yashar Kiarashinejad; Sajjad AbdollahRamezani; Mohammadreza Zandehshahvar; Omid Hemmatyar; Ali Adibi (CoRR, 2019)

Knowledge Discovery in Nanophotonics Using Geometric Deep Learning. - Yashar Kiarashinejad; Mohammadreza Zandehshahvar; Sajjad AbdollahRamezani; Omid Hemmatyar; Reza Pourabolghasem; Ali Adibi (Adv. Intell. Syst., 2020)

Meta-optics for spatial optical analog computing. - Sajjad AbdollahRamezani; Omid Hemmatyar; Ali Adibi (CoRR, 2020)

Manifold Learning for Knowledge Discovery and Intelligent Inverse Design of Photonic Nanostructures: Breaking the Geometric Complexity. - Mohammadreza Zandehshahvar; Yashar Kiarashi; Muliang Zhu; Hossein Maleki; Tyler Brown; Ali Adibi (CoRR, 2021)

Scalable Optimization Methods for Incorporating Spatiotemporal Fractionation into Intensity-Modulated Radiotherapy Planning. - Ali Adibi; Ehsan Salari (INFORMS J. Comput., 2022)

Bayesian neural networks for severity assessment of COVID-19 pneumonia from chest x-ray using a multi-reader and binational dataset. - Mohammadreza Zandehshahvar; Marly van Assen; Eun Young Kim; Yashar Kiarashi; Vikranth Keerthipati; Arthur E. Stillman; Peter Filev; Amir H. Davarpanah; Eugene A. Berkowitz; Stefan Tigges; Scott J. Lee; Brianna L. Vey; et al. (Computer-Aided Diagnosis, 2023)

HiLAB: A Hybrid Inverse-Design Framework. - Reza Marzban; Hamed Abiri; Raphaël Pestourie; Ali Adibi (CoRR, 2025)

PolitiSky24: U.S. Political Bluesky Dataset with User Stance Labels. - Peyman Rostami; Vahid Rahimzadeh; Ali Adibi; Azadeh Shakery (CoRR, 2025)

Inverse Design in Nanophotonics via Representation Learning. - Reza Marzban; Ali Adibi; Raphaël Pestourie (CoRR, 2025)