activity
20152022
most citedOptical Hardware Accelerators using Nonlinear Dispersion Modes for Energy Efficient Computing

45 citations · 45 across the 5 of their papers we have counts for

collaborators

6 papers

cs.LG2022

Designing an Efficient End-to-end Machine Learning Pipeline for Real-time Empty-shelf Detection

Dipendra Jha, Ata Mahjoubfar, Anupama Joshi

On-Shelf Availability (OSA) of products in retail stores is a critical business criterion in the fast moving consumer goods and retails sector. When a product is out-of-stock (OOS)…

q-bio.QM2019

Deep Cytometry: Deep learning with Real-time Inference in Cell Sorting and Flow Cytometry

Yueqin Li, Ata Mahjoubfar, Claire Lifan Chen +3

Deep learning has achieved spectacular performance in image and speech recognition and synthesis. It outperforms other machine learning algorithms in problems where large amounts o…

cs.CV2017

Time Stretch Inspired Computational Imaging

Bahram Jalali, Madhuri Suthar, Mohamad Asghari +1

We show that dispersive propagation of light followed by phase detection has properties that can be exploited for extracting features from the waveforms. This discovery is spearhea…

physics.optics201545 cited

Optical Hardware Accelerators using Nonlinear Dispersion Modes for Energy Efficient Computing

Bahram Jalali, Ata Mahjoubfar

This paper proposes a new class of hardware accelerators to alleviate bottlenecks in the acquisition, analytics, storage and computation of information carried by wideband streamin…

physics.optics2015

Differentially-Enhanced Sideband Imaging via Radio-frequency Encoding

A. M. Fard, A. Mahjoubfar, B. Jalali

We present a microscope paradigm that performs differential interference imaging with high sensitivity via optical amplification and radio-frequency (RF) heterodyne detection. This…

physics.optics2015

High-throughput Biological Cell Classification Featuring Real-time Optical Data Compression

Bahram Jalali, Ata Mahjoubfar, Claire L. Chen

High throughput real-time instruments are needed to acquire large data sets for detection and classification of rare events. Enabled by the photonic time stretch digitizer, a new c…