Apurva Narayan, University of British Columbia

Latest papers

Stratification of tumour cell radiation response and metabolic signatures visualization with Raman spectroscopy and explainable convolutional neural network.
The Analyst · 2024
Long-Term Impact of Childhood Adversity on the Gut Microbiome of Nursing Students.
International journal of environmental research and public health · 2024
The effect of spatial resolution on deep learning classification of lung cancer histopathology.
BJR open · 2023

All 8 publications

Latest funding

NSERC CREATE in Product Design for Human Comfort
NSERC · 2024 · Co-investigator
$150,000
Artificial intelligence assisted Method, Optimizing the Prediction of Patient Outcomes among Long COVID-19 Patients.
CIHR · 2022 · Co-investigator
$100,000
Data Mining and Machine Learning for System Model Discovery and Applications
NSERC · 2019 · Principal investigator
$12,500

All 5 grants and awards

8 publications.

01

Stratification of tumour cell radiation response and metabolic signatures visualization with Raman spectroscopy and explainable convolutional neural network.

Fuentes AM, Milligan K, Wiebe M, Narayan A, Lum JJ, Brolo AG, Andrews JL, Jirasek A

The Analyst2024

DOI: 10.1039/d3an01797d PMID: 38312026

02

Long-Term Impact of Childhood Adversity on the Gut Microbiome of Nursing Students.

Kazemian N, Zhou T, Chalasani N, Narayan A, Cedeño Laurent JG, Olvera Alvarez HA, Pakpour S

International journal of environmental research and public health2024

DOI: 10.3390/ijerph21010068 PMID: 38248533

03

The effect of spatial resolution on deep learning classification of lung cancer histopathology.

Wiebe M, Haston C, Lamey M, Narayan A, Rajapakshe R

BJR open2023

DOI: 10.1259/bjro.20230008 PMID: 37953867

04

Raman spectroscopy and convolutional neural networks for monitoring biochemical radiation response in breast tumour xenografts.

Fuentes AM, Narayan A, Milligan K, Lum JJ, Brolo AG, Andrews JL, Jirasek A

Scientific reports2023

DOI: 10.1038/s41598-023-28479-2 PMID: 36707535

05

Machine Learning Directed Aptamer Search from Conserved Primary Sequences and Secondary Structures.

Perez Tobia J, Huang PJ, Ding Y, Saran Narayan R, Narayan A, Liu J

ACS synthetic biology2023

DOI: 10.1021/acssynbio.2c00462 PMID: 36594697

06

Author Correction: The trans-kingdom battle between donor and recipient gut microbiome influences fecal microbiota transplantation outcome.

Kazemian N, Ramezankhani M, Sehgal A, Khalid FM, Kalkhoran AHZ, Narayan A, Wong GK, Kao D, Pakpour S

Scientific reports2021

DOI: 10.1038/s41598-021-82644-z PMID: 33608575

07

The trans-kingdom battle between donor and recipient gut microbiome influences fecal microbiota transplantation outcome.

Kazemian N, Ramezankhani M, Sehgal A, Khalid FM, Kalkhoran AHZ, Narayan A, Wong GK, Kao D, Pakpour S

Scientific reports2020

DOI: 10.1038/s41598-020-75162-x PMID: 33110112

08

Pay attention and you won't lose it: a deep learning approach to sequence imputation.

Sucholutsky I, Narayan A, Schonlau M, Fischmeister S

PeerJ. Computer science2019

DOI: 10.7717/peerj-cs.210 PMID: 33816863

NSERC CREATE in Product Design for Human Comfort

Co-investigatorNSERC2024Collaborative Research and Training Experience

Principal investigators: Pakpour, Sepideh S

Keywords: design for comfort; human physical comfort; human physiological comfort; human psychological comfort; interdisciplinary product design; user-centric design

$150,000

Artificial intelligence assisted Method, Optimizing the Prediction of Patient Outcomes among Long COVID-19 Patients.

Co-investigatorCIHR2022Project Grant - PA: Pandemic Preparedness and Health Emergencies Research

Principal investigators: Nicolaou, Savvakis

Keywords: Artificial Intelligence; Diagnostic Imaging; Image Processing; Machine Learning; Personalized Diagnostic Imaging; Telehealth; Telehealth Registry; Teleradiology

$100,000

Data Mining and Machine Learning for System Model Discovery and Applications

Principal investigatorNSERC2019Discovery Launch Supplement

Principal investigators: Narayan, Apurva

$12,500

Human intent recognition for smart vehicles

Principal investigatorNSERC2019Engage Grants Program

Principal investigators: Narayan, Apurva

$25,000

Artificial Intelligence-based Tools for Fresh Produce Procurement Price Decisions as Applied to Canadian Distribution Centers

Co-investigatorNSERC2018Collaborative Research and Development Grants

Principal investigators: Karray, Fakhreddine F

$600,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Frequent collaborators

Department of Computer Science
Faculty of Applied Science - School of Engineering
Okanagan - Computer Science, Mathematics, Physics and Statistics
Medicine
Chemistry
Other Sociology
Electrical and Computer Engineering

Co-authors at University of British Columbia, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.

Sepideh Pakpour

Faculty of Applied Science - School of Engineering

3 shared papers, latest 2024

Andrew Jirasek

Okanagan - Computer Science, Mathematics, Physics and Statistics

2 shared papers, latest 2024

Matthias Schonlau

Other Sociology

1 shared papers, latest 2019

Sebastian Fischmeister

Electrical and Computer Engineering

1 shared papers, latest 2019

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Paper to mentionMention their NSERC grant from 2019

Subject: Prospective PhD student Dear Professor Narayan, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Stratification of tumour cell radiation response and metabolic signatures visualization with Raman spectroscopy and explainable convolutional neural network." (2024), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Data Mining and Machine Learning for System Model Discovery and Applications" (2019), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]

Apurva Narayan

Latest papers

Latest funding

Stratification of tumour cell radiation response and metabolic signatures visualization with Raman spectroscopy and explainable convolutional neural network.

Long-Term Impact of Childhood Adversity on the Gut Microbiome of Nursing Students.

The effect of spatial resolution on deep learning classification of lung cancer histopathology.

Raman spectroscopy and convolutional neural networks for monitoring biochemical radiation response in breast tumour xenografts.

Machine Learning Directed Aptamer Search from Conserved Primary Sequences and Secondary Structures.

Author Correction: The trans-kingdom battle between donor and recipient gut microbiome influences fecal microbiota transplantation outcome.

The trans-kingdom battle between donor and recipient gut microbiome influences fecal microbiota transplantation outcome.

Pay attention and you won't lose it: a deep learning approach to sequence imputation.

NSERC CREATE in Product Design for Human Comfort

Artificial intelligence assisted Method, Optimizing the Prediction of Patient Outcomes among Long COVID-19 Patients.

Data Mining and Machine Learning for System Model Discovery and Applications

Human intent recognition for smart vehicles

Artificial Intelligence-based Tools for Fresh Produce Procurement Price Decisions as Applied to Canadian Distribution Centers

Frequent collaborators

Sepideh Pakpour

Andrew Jirasek

Dina Kao

Matthias Schonlau

Juewen Liu

Sebastian Fischmeister