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Phuong Ha

Has grant

Professor

University of Tromsø - The Arctic University of Norway

Norway

Research Interests

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Professors in Norway Professors in High Performance Computing High Performance Computing professors in Norway

About

Phuong Ha is a Professor at The Arctic University of Norway, specializing in advanced computational techniques and environmental monitoring. Her recent research includes topics such as real-time change detection using convolutional density approximation and enhancing nonblocking data structures for distributed-memory systems. She has also developed innovative methods for accurate measurement of particulate matter pollutants and frameworks for high-speed super-resolution microscopy.

Recent Grants

Grant: Close

MISO – Autonomous Multi-Format In-Situ Observation Platform for Atmospheric Carbon Dioxide and Methane Monitoring in Permafrost & Wetlands

Open Date: 2023-01-01

Close Date: 2026-06-01

Grant: Close

TAILOR - Foundations of Trustworthy AI integrating Learning, Optimization and Reasoning

Open Date: 2020-09-01

Close Date: 2023-08-01

Grant: Close

HAPADS - Highly Accurate and Autonomous Programmable Platform for Providing Air Pollution Data Services to Drivers and Public

Open Date: 2020-01-01

Close Date: 2023-01-01

Grant: Close

eX3 - Experimental Infrastructure for Exploration of Exascale Computing

Open Date: 2017-01-01

Close Date: 2026-01-01

Grant: Close

Distributed Arctic Observatory (DAO): A Cyber-Physical System for Ubiquitous Data and Services Covering the Arctic Tundra

Open Date: 2017-01-01

Close Date: 2022-01-01

Articles (12)

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2026

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2026

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2026

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2026

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2025

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2025

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2025

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2025

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2024

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2023

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2022

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2021

Collaborators (3)

Xing Cai

Professor

University of Oslo

NORWAY

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Krishna Agarwal

Professor

UiT Norges arktiske universitet

NORWAY

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Quan Do

Postdoctoral Research Fellow / Associate Professor

UiT The Arctic University of Norway

NORWAY

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Phuong Ha

Research Interests

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About

Recent Grants

Articles (12)

CAC: An asynchronous non-blocking consistency model with bounded staleness for distributed machine learning

Empirical Analysis of GPU Frequency Behavior Under ML Workloads

PM2Lat: Highly Accurate and Generalized Prediction of DNN Execution Latency on GPUs

Fast High-Fidelity Latency Predictor for Homogeneous Neural Networks on ST Microcontrollers

<i>i</i>Charging: A Game-based Decentralized Nash Equilibrium Approach for Shared EV Charging

Accurate Measurements of Methane, Carbon Dioxide for Arctic and Wetland Conditions using NDIR Technology and AI-based Calibration

Kernel-Level Energy-Efficient Neural Architecture Search for Tabular Dataset

eU2U: Energy-efficient Wireless Charging and Trajectory Design for IoT Data Collection

Real-Time Change Detection with Convolutional Density Approximation

A general approach for supporting nonblocking data structures on distributed-memory systems

A surrogate-assisted measurement correction method for accurate and low-cost monitoring of particulate matter pollutants

Highly Efficient and Scalable Framework for High-Speed Super-Resolution Microscopy

Collaborators (3)

Xing Cai

Krishna Agarwal

Quan Do

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