papers

Publications (41)

math-ph2003

Analytical solution of linear ordinary differential equations by differential transfer matrix method

Sina Khorasani, Ali Adibi

We report a new analytical method for exact solution of homogeneous linear ordinary differential equations with arbitrary order and variable coefficients. The method is based on th…

physics.optics2020

Tunable nanophotonics enabled by chalcogenide phase-change materials

Sajjad Abdollahramezani, Omid Hemmatyar, Hossein Taghinejad +5

Nanophotonics has garnered intensive attention due to its unique capabilities in molding the flow of light in the subwavelength regime. Metasurfaces (MSs) and photonic integrated c…

physics.optics2015

Nonlinear Raman Shift Induced by Exciton-to-Trion Transformation in Suspended Trilayer MoS2

Hossein Taghinejad, Mohammad Taghinejad, Alexey Tarasov +6

Layered two-dimensional (2D) semiconductors such as molybdenum disulfide (MoS2) have recently attracted remarkable attention because of their unique physical properties. Here, we u…

physics.optics2020

High Quality factor micro-ring resonator for strong atom-light interactions using miniature atomic beams

Ali Eshaghian Dorche, Bochao Wei, Chandra Raman +1

An integrated photonic platform is proposed for strong interactions between atomic beams and annealing-free high-quality-factor (Q) microresonators. We fabricated a thin-film, air-…

cond-mat.mtrl-sci2024

Ion-Assisted Nanoscale Material Engineering in Atomic Layers

Hossein Taghinejad, Mohammad Taghinejad, Sajjad Abdollahramezani +11

Achieving deterministic control over the properties of low-dimensional materials with nanoscale precision is a long-sought goal. Mastering this capability has a transformative impa…

physics.optics2019

Knowledge Discovery In Nanophotonics Using Geometric Deep Learning

Yashar Kiarashinejad, Mohammadreza Zandehshahvar, Sajjad Abdollahramezani +3

We present here a new approach for using the intelligence aspects of artificial intelligence for knowledge discovery rather than device optimization in electromagnetic (EM) nanostr…

physics.optics2020

Dynamic hybrid metasurfaces

Sajjad Abdollahramezani, Omid Hemmatyar, Mohammad Taghinejad +10

Efficient hybrid plasmonic-photonic metasurfaces that simultaneously take advantage of the potential of both pure metallic and all-dielectric nanoantennas are identified as an emer…

physics.app-ph2025

Inverse Design in Nanophotonics via Representation Learning

Reza Marzban, Ali Adibi, Raphael Pestourie

Inverse design in nanophotonics, the computational discovery of structures achieving targeted electromagnetic (EM) responses, has become a key tool for recent optical advances. Tra…

physics.optics2016

Large Enhancement of Circular Dichroism Using an Embossed Chiral Metamaterial

S. Hamed Shams Mousavi, Sajanlal R. Panikkanvalappil, Mostafa A. El-Sayed +2

In the close vicinity of a chiral nanostructure, the circular dichroism of a biomolecule could be greatly enhanced, due to the interaction with the local superchiral fields. Modest…

physics.optics2012

A unified approach to mode splitting and scattering loss in high-Q whispering-gallery-mode microresonators

Qing Li, Ali A. Eftekhar, Zhixuan Xia +1

Current theoretical treatment of mode splitting and scattering loss resulting from sub-wavelength scatterers attached to the surface of high-quality-factor whispering-gallery-mode…

cs.LG2019

Deep learning approach based on dimensionality reduction for designing electromagnetic nanostructures

Yashar Kiarashinejad, Sajjad Abdollahramezani, Ali Adibi

In this paper, we demonstrate a computationally efficient new approach based on deep learning (DL) techniques for analysis, design, and optimization of electromagnetic (EM) nanostr…

physics.optics2026

Planar Scale Invariant Waveguides and Resonators with Uniform Air Confined Modes

Mohammad Enjavi, Amin Khavasi, Ashkan Zandi +4

We demonstrate a planar metamaterial based resonator and waveguide with strong light confinement in air based on a silicon-on-insulator (SOI) platform that exhibits scale invarianc…

eess.IV2025

Deep Active Learning for Lung Disease Severity Classification from Chest X-rays: Learning with Less Data in the Presence of Class Imbalance

Roy M. Gabriel, Mohammadreza Zandehshahvar, Marly van Assen +4

To reduce the amount of required labeled data for lung disease severity classification from chest X-rays (CXRs) under class imbalance, this study applied deep active learning with…

physics.optics2021

Enhanced Meta-Displays Using Advanced Phase-Change Materials

Omid Hemmatyar, Sajjad Abdollahramezani, Ioannis Zeimpekis +12

Structural colors generated due to light scattering from static all-dielectric metasurfaces have successfully enabled high-resolution, high-saturation, and wide-gamut color printin…

physics.app-ph2019

Full color generation with Fano-type resonant HfO nanopillars designed by a deep-learning approach

Omid Hemmatyar, Sajjad Abdollahramezani, Yashar Kiarashinejad +2

In contrast to lossy plasmonic metasurfaces (MSs), wideband dielectric MSs comprising of subwavelength nanostructures supporting Mie resonances are of great interest in the visible…

nlin.PS2016

Self-synchronization of Kerr-nonlinear Optical Parametric Oscillators

Hossein Taheri, Pascal Del'Haye, Ali A. Eftekhar +2

We introduce a new, reduced nonlinear oscillator model governing the spontaneous creation of sharp pulses in a damped, driven, cubic nonlinear Schroedinger equation. The reduced mo…

physics.optics2026

Systematic Design and Demonstration of Multipole, Coupled-Cavity Integrated Photonic Bandpass Filters with High FSR, High-Q Single-Mode Microresonators in Low-Loss Silicon Nitride Platform

Amir H Hosseinnia, Abdel Karim El Amili, Yu-hung Lai +4

Tunable, low-loss, narrowband, and frequency-stabilized filters play a critical role in the realization of transceivers for efficient signal processing in telecommunications and se…

physics.optics2026

GiBS: Generative Input-side Basis-driven Structures

Reza Marzban, Ashkan Zandi, Ali Adibi

Designing large-scale metasurfaces with nonlocal optical effects remains challenging due to the immense dimensionality and fabrication constraints of conventional optimization meth…

physics.optics2014

Soliton Formation in Whispering-Gallery-Mode Resonators via Input Phase Modulation

Hossein Taheri, Ali A. Eftekhar, Kurt Wiesenfeld +1

We propose a method for soliton formation in whispering-gallery-mode (WGM) resonators through input phase modulation. Our numerical simulations of a variant of the Lugiato-Lefever…

physics.optics2022

Reconfigurable Multifunctional Metasurfaces Employing Hybrid Phase-Change Plasmonic Architecture

Sajjad Abdollahramezani, Hossein Taghinejad, Tianren Fan +3

We present a hybrid device platform for creating an electrically reconfigurable metasurface formed by the integration of plasmonic nanostructures with phase-change material germani…

nlin.PS2017

Self-synchronization Phenomena in the Lugiato-Lefever Equation

Hossein Taheri, Pascal Del'Haye, Ali A. Eftekhar +2

The damped driven nonlinear Schrödinger equation (NLSE) has been used to understand a range of physical phenomena in diverse systems. Studying this equation in the context of opti…

physics.optics2021

Advanced Phase-Change Materials for Enhanced Meta-Displays

Omid Hemmatyar, Sajjad Abdollahramezani, Sergey Lepeshov +4

Structural colors generated due to light scattering from static all-dielectric metasurfaces have successfully enabled high-resolution, high-saturation and wide-gamut color printing…

physics.app-ph2022

Enhanced Polling and Infiltration for Highly-Efficient Electro-Optic Polymer-Based Mach-Zehnder Modulators

Iman Taghavi, Razi Dehghannasiri, Tianren Fan +7

An ultra-narrow slot waveguide is fabricated for use in highly-efficient, electro-optic-polymer-based, integrated-optic modulators. Measurement results indicate that 's belo…

cs.LG2026

Bayesian Optimization for Function-Valued Responses under Min-Max Criteria

Pouya Ahadi, Reza Marzban, Ali Adibi +1

Bayesian optimization is widely used for optimizing expensive black box functions, but most existing approaches focus on scalar responses. In many scientific and engineering settin…

physics.optics2021

Electrically driven programmable phase-change meta-switch reaching 80% efficiency

Sajjad Abdollahramezani, Omid Hemmatyar, Mohammad Taghinejad +11

Despite recent advances in active metaoptics, wide dynamic range combined with high-speed reconfigurable solutions is still elusive. Phase-change materials (PCMs) offer a compellin…

physics.optics2018

Wideband bright soliton frequency comb generation at optical telecommunication wavelength in a thin SiN film

Ali Eshaghian Dorche, Amir Hossein Hosseinnia, Ali Asghar Eftekhar +1

Bright-soliton frequency comb generation in a thin-film silicon nitride (SiN) microresonator at optical telecommunication wavelengths is numerically demonstrated using our recently…

physics.optics2019

Deep Learning Reveals Underlying Physics of Light-matter Interactions in Nanophotonic Devices

Yashar Kiarashinejad, Sajjad Abdollahramezani, Mohammadreza Zandehshahvar +2

In this paper, we present a deep learning-based (DL-based) algorithm, as a purely mathematical platform, for providing intuitive understanding of the properties of electromagnetic…

physics.optics2012

Ultra-compact On-Chip Plasmonic Light Concentrator

Ye Luo, Maysamreza Chamanzar, Ali Adibi

We present a novel approach for achieving tightly concentrated optical field by a hybrid photonic-plasmonic device in an integrated platform, which is a triangle-shaped metal taper…

physics.optics2021

Manifold Learning for Knowledge Discovery and Intelligent Inverse Design of Photonic Nanostructures: Breaking the Geometric Complexity

Mohammadreza Zandehshahvar, Yashar Kiarashi, Muliang Zhu +3

Here, we present a new approach based on manifold learning for knowledge discovery and inverse design with minimal complexity in photonic nanostructures. Our approach builds on stu…

physics.optics2025

HiLAB: A Hybrid Inverse-Design Framework

Reza Marzban, Hamed Abiri, Raphael Pestourie +1

HiLAB (Hybrid inverse-design with Latent-space learning, Adjoint-based partial optimizations, and Bayesian optimization) is a new paradigm for inverse design of nanophotonic struct…

physics.optics2014

Optical bistability in a one-dimensional photonic crystal resonator using a reverse-biased pn-junction

Majid Sodagar, Mehdi Miri, Ali A. Eftekhar +1

Optical bistability provides a simple way to control light with light. We demonstrate low-power thermo-optical bistability caused by the Joule heating mechanism in a one-dimensiona…

cs.CL2025

PolitiSky24: U.S. Political Bluesky Dataset with User Stance Labels

Peyman Rostami, Vahid Rahimzadeh, Ali Adibi +1

Stance detection identifies the viewpoint expressed in text toward a specific target, such as a political figure. While previous datasets have focused primarily on tweet-level stan…

quant-ph2020

Multipartite high-dimensional entangled state generation through soliton-induced dynamical Casimir effect on a chip

Ali Eshaghian Dorche, Ali Adibi

An integrated photonic approach for complex quantum state generation through dynamical Casimir effect (DCE) is demonstrated. This approach provides a scheme to realize multipartite…

math-ph2003

New Analytical Approach for Computation of Band Structure in One-dimensional Periodic Media

Sina Khorasani, Ali Adibi

In this paper, we present a new approach for the exact calculation of band structure in one-dimensional periodic media, such as photonic crystals and superlattices, based on the re…

physics.app-ph2020

ITO-Based Microheaters for Reversible Multi-Stage Switching of Phase-Change Materials: Towards Miniaturized Beyond-Binary Reconfigurable Integrated Photonics

Hossein Taghinejad, Sajjad Abdollahramezani, Ali A. Eftekhar +6

Inducing a large refractive-index change is the holy grail of reconfigurable photonic structures, a goal that has long been the driving force behind the discovery of new optical ma…

physics.optics2020

Meta-optics for spatial optical analog computing

Sajjad Abdollahramezani, Omid Hemmatyar, Ali Adibi

Rapidly growing demands for high-performance computing, powerful data processing systems, and big data necessitate the advent of novel optical devices to perform demanding computin…

physics.optics2021

Racetrack microresonator based electro-optic phase shifters on a 3C-silicon-carbide-on-insulator platform

Tianren Fan, Xi Wu, Sai R. M. Vangapandu +3

We report the first demonstration of integrated electro-optic (EO) phase shifters based on racetrack microresonators on a 3C-silicon-carbide-on-insulator (SiCOI) platform working a…

physics.optics2015

Band-edge Bilayer Plasmonic Nanostructure for Surface Enhanced Raman Spectroscopy

S. Hamed Shams Mousavi, Ali A. Eftekhar, Amir H. Atabaki +1

Spectroscopic analysis of large biomolecules is critical in a number of applications, including medical diagnostics and label-free biosensing. Recently, it has been shown that Rama…

physics.optics2017

Extending chip-based Kerr-comb to visible spectrum by dispersive wave engineering

Ali Eshaghian Dorche, Sajjad Abdollahramezani, Hossein Taheri +2

Anomalous group velocity dispersion is a key parameter for generating bright solitons, and thus wideband Kerr frequency combs. Extension of frequency combs to visible wavelength in…

physics.optics2025

Photonic Crystal Microring Resonators on a Hybrid Silicon Nitride-on-Lithium Niobate Platform

Zhongdi Peng, Rakesh Krishna, Xi Wu +3

Photonic-crystal resonators (PhCRs) have been widely used in nonlinear integrated photonics for frequency engineering applications. A microwave-assisted frequency converter based o…

physics.optics2015

Fluidic Integration of Nanophotonic Devices Using Decomposable Polymers

Ehsan Shah Hosseini, Mehrsa Raeis Zadeh, Paul Kohl +1

Polynorbornene-based decomposable polymer which can be patterned with ultraviolet or electron-beam radiation is used to create micrometer-scale fluidic channels. Silicon nitride su…