Le Ngu Nguyen

Aalto-yliopisto

H-index: 8

Europe-Finland

About Le Ngu Nguyen

Le Ngu Nguyen, With an exceptional h-index of 8 and a recent h-index of 7 (since 2020), a distinguished researcher at Aalto-yliopisto, specializes in the field of Machine Learning, Signal Processing, Ubiquitous Computing.

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

Estimating exercise-induced fatigue from thermal facial images

Assessing the Feasibility of Remote Photoplethysmography Through Videocalls: A Study of Network and Computing Constraints

Non-Contact Heart Rate Measurement from Deteriorated Videos

Principal Component Analysis Visualizations in State Discovery by Animating Exploration Results

Improving Depression estimation from facial videos with face alignment, training optimization and scheduling

CardioID: Secure ECG-BCG agnostic interaction-free device pairing

Identification, Activity, and Biometric Classification using Radar-based Sensing

Synchrony-based Depression Score Aggregation from Single-Modality Models

Le Ngu Nguyen Information

University	Aalto-yliopisto
Position	___
Citations(all)	253
Citations(since 2020)	193
Cited By	130
hIndex(all)	8
hIndex(since 2020)	7
i10Index(all)	7
i10Index(since 2020)	3
Email	Access Email
University Profile Page	Aalto-yliopisto
Google Scholar	View Google Scholar Profile

Le Ngu Nguyen Skills & Research Interests

Machine Learning

Signal Processing

Ubiquitous Computing

Top articles of Le Ngu Nguyen

Title	Journal	Author(s)	Publication Date
Estimating exercise-induced fatigue from thermal facial images		Manuel Lage Cañellas Constantino Álvarez Casado Le Nguyen Miguel Bordallo López	2024/4/14
Assessing the Feasibility of Remote Photoplethysmography Through Videocalls: A Study of Network and Computing Constraints		Constantino Álvarez Casado Le Nguyen Olli Silvén Miguel Bordallo López	2023/4/18
Non-Contact Heart Rate Measurement from Deteriorated Videos		Nhi Nguyen Constantino Álvarez Casado Olli Silvén Miguel Bordallo López	2023/9/12
Principal Component Analysis Visualizations in State Discovery by Animating Exploration Results		Miki Sirola Olli-Pekka Rinta-Koski Jaakko Hollmen	2022/6/20
Improving Depression estimation from facial videos with face alignment, training optimization and scheduling	arXiv e-prints	Manuel Lage Cañellas Constantino Álvarez Casado Le Nguyen Miguel Bordallo López	2022/12
CardioID: Secure ECG-BCG agnostic interaction-free device pairing	IEEE Access	Si Zuo Stephan Sigg Nils Beck Nico Jähne-Raden Marie Cathrine Wolf	2022/12/2
Identification, Activity, and Biometric Classification using Radar-based Sensing		Le Nguyen Constantino Álvarez Casado Olli Silvén Miguel Bordallo López	2022/9/6
Synchrony-based Depression Score Aggregation from Single-Modality Models		Le Nguyen Manuel Lage Cañellas Constantino Álvarez Casado Xiaoting Wu Miguel Bordallo López	2022
State discovery and prediction from multivariate sensor data		Olli-Pekka Rinta-Koski Miki Sirola Le Ngu Nguyen Jaakko Hollmén	2021
Intuitive Privacy from Acoustic Reach: A Case for Networked Voice User-Interfaces		Tom Bäckström Sneha Das Pablo Pérez Zarazaga Johannes Fischer Rainhard Findling ...	2021/11
Camouflage learning		Le Ngu Nguyen Stephan Sigg Jari Lietzén Rainhard Dieter Findling Kalle Ruttik	2021/6/24
Camouflage learning: Feature value obscuring ambient intelligence for constrained devices	IEEE Transactions on Mobile Computing	Stephan Sigg Jari Lietzen Rainhard Dieter Findling Kalle Ruttik	2021/6/24
Towards battery-less RF sensing		Manila Kodali Stephan Sigg	2021/3/22
Analysing ballistocardiography for pervasive healthcare		Roni Hytonen Alison Tshala Jan Schreier Melissa Holopainen Aada Forsman ...	2020/12/17
Provable consent for voice user interfaces		Stephan Sigg Pablo Perez Zarazaga Tom Backstrom	2020/3/23
Security from Implicit Information		Le Ngu Nguyen	2020