Apurva Narayan

Apurva Narayan

University of Waterloo

H-index: 12

North America-Canada

About Apurva Narayan

Apurva Narayan, With an exceptional h-index of 12 and a recent h-index of 11 (since 2020), a distinguished researcher at University of Waterloo, specializes in the field of Data Analytics, Machine Learning, Software Engineering, Safety and Security in CPS, Computational Neuroscience.

His recent articles reflect a diverse array of research interests and contributions to the field:

Attacking CNNs in Histopathology with SNAP: Sporadic and Naturalistic Adversarial Patches (Student Abstract)

Generating Universal Adversarial Perturbations for Quantum Classifiers

The Modelling Supremacy of the Topological Graph Theoretic Models and Connections to Biology

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

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

Assist Is Just as Important as the Goal: Image Resurfacing to Aid Model's Robust Prediction

Spatio-temporal Analysis of Dashboard Camera Videos for Time-To-Accident Forecasting

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

Apurva Narayan Information

University

Position

University of British Columbia and

Citations(all)

591

Citations(since 2020)

496

Cited By

255

hIndex(all)

12

hIndex(since 2020)

11

i10Index(all)

13

i10Index(since 2020)

11

Email

University Profile Page

University of Waterloo

Google Scholar

View Google Scholar Profile

Apurva Narayan Skills & Research Interests

Data Analytics

Machine Learning

Software Engineering

Safety and Security in CPS

Computational Neuroscience

Top articles of Apurva Narayan

Title

Journal

Author(s)

Publication Date

Attacking CNNs in Histopathology with SNAP: Sporadic and Naturalistic Adversarial Patches (Student Abstract)

Proceedings of the AAAI Conference on Artificial Intelligence

Daya Kumar

Abhijith Sharma

Apurva Narayan

2024/3/24

Generating Universal Adversarial Perturbations for Quantum Classifiers

arXiv preprint arXiv:2402.08648

Gautham Anil

Vishnu Vinod

Apurva Narayan

2024/2/13

The Modelling Supremacy of the Topological Graph Theoretic Models and Connections to Biology

Apurva Narayan

2024/2/6

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

International journal of environmental research and public health

Negin Kazemian

Tony Zhou

Naveen Chalasani

Apurva Narayan

Jose Guillermo Cedeño Laurent

...

2024/1/8

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

Analyst

Alejandra M Fuentes

Kirsty Milligan

Mitchell Wiebe

Apurva Narayan

Julian J Lum

...

2024

Assist Is Just as Important as the Goal: Image Resurfacing to Aid Model's Robust Prediction

Abhijith Sharma

Phil Munz

Apurva Narayan

2024

Spatio-temporal Analysis of Dashboard Camera Videos for Time-To-Accident Forecasting

Taif Anjum

Daya Kumar

Apurva Narayan

2023/6/18

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

Scientific Reports

Alejandra M Fuentes

Apurva Narayan

Kirsty Milligan

Julian J Lum

Alex G Brolo

...

2023/1/27

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

BJR| Open

Mitchell Wiebe

Christina Haston

Michael Lamey

Apurva Narayan

Rasika Rajapakshe

2023/11/1

NSA: Naturalistic Support Artifact to Boost Network Confidence

Abhijith Sharma

Phil Munz

Apurva Narayan

2023/6/18

Machine learning directed aptamer search from conserved primary sequences and secondary structures

ACS Synthetic Biology

Javier Perez Tobia

Po-Jung Jimmy Huang

Yuzhe Ding

Runjhun Saran Narayan

Apurva Narayan

...

2023/1/3

Catalysing SDGs Achievement through Community Engagement: A Case Study of the Dayalbagh Model

Apurva Narayan

Arsh Dhir

Ashita Allamraju

D Bhagwan Das

Pami Dua

...

2023/10/30

Vulnerability of cnns against multi-patch attacks

Abhijith Sharma

Yijun Bian

Vatsal Nanda

Phil Munz

Apurva Narayan

2023/4/26

Learning Spatio-Temporal Features via 3D CNNs to Forecast Time-to-Accident.

Taif Anjum

Louis Chirade

Beiyu Lin

Apurva Narayan

2023

Non data hungry smart composite manufacturing using active transfer learning with sigma point sampling (SPSATL)

Computers in Industry

Debangsha Sarkar

Milad Ramezankhani

Apurva Narayan

Abbas S Milani

2023/10/1

Do we need entire training data for adversarial training?

arXiv preprint arXiv:2303.06241

Vipul Gupta

Apurva Narayan

2023/3/10

cAPTured: Neural Reflex Arc-Inspired Fuzzy Continual Learning for Capturing in Silico Aptamer-Target Protein Interactions

Aviral Chharia

Runjhun Saran

Apurva Narayan

2023/6/18

A Holistic Approach to Achieving SDGs: A Case Study of Dayalbagh, India

Pami Dua

Apurva Narayan

Ashita Allamraju

Arsh Dhir

2023/2/21

Novel representative sampling for improved active learning

IFAC-PapersOnLine

Debangsha Sarkar

Amir Shabani

Apurva Narayan

2022/1/1

Adversarial patch attacks and defences in vision-based tasks: A survey

arXiv preprint arXiv:2206.08304

Abhijith Sharma

Yijun Bian

Phil Munz

Apurva Narayan

2022/6/16

See List of Professors in Apurva Narayan University(University of Waterloo)

Co-Authors

H-index: 82
Michael Fowler

Michael Fowler

University of Waterloo

H-index: 73
Keith Hipel

Keith Hipel

University of Waterloo

H-index: 54
Matthias Schonlau

Matthias Schonlau

University of Waterloo

H-index: 31
Kumaraswamy Ponnambalam

Kumaraswamy Ponnambalam

University of Waterloo

H-index: 23
Patvardhan Chellapilla

Patvardhan Chellapilla

Dayalbagh Educational Institute

H-index: 17
Azadeh Maroufmashat

Azadeh Maroufmashat

University of Waterloo

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