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Tuan-Vu Cao

Senior Scientist

+47 63 89 80 26

+47 467 96 866

Digital Technologies

Kjeller

tvc@nilu.no

Tuan-Vu Cao

Tuan-Vu Cao received the PhD degree in electronics engineering from the University of Oslo in 2011 with the topic of micro-power sensor interface in nanometer CMOS technology.  During his PhD, he stayed at ISN Lab at UC San Diego in a year to implement a frequency adaptive BFSK MICS band (402-405 MHz) transmitter Chip for biomedical application. He has a long experience in both Academia and Industry.

From 2011 to 2012, he worked as a Postdoctoral Fellow at NTNU (Norwegian University of Science and Technology) to design a Delta-Sigma Analog to Digital converter at 65nm CMOS technology.

From 2012-2018, he worked in Industry as Senior Engineer at WINS Instrumentation AS and Prediktor AS for various projects, such as monitoring nutrient food content, and wireless DST real time instrumentation. Since 2018, he has come back Academia by joining NILU where he is currently a Senior Scientist.

Tuan-Vu Cao has been running several national and EU projects at NILU:

Horizon Europe project MISO – Autonomous Multi-Format In-Situ Observation Platform for Atmospheric Carbon Dioxide and Methane Monitoring in Permafrost & Wetlands; (2023-2026) (The PI and project coordinator)

EEA Grant project—HAPADS – a novel air mobile monitoring system enables end-users to make information-driven decisions to mitigate air pollution exposure; (2020-2023) (Co-PI and WP leader)

EEA Grant project SmartFood project “Engaging citizens in food diversity in cities”; (2021-2024) (Co-PI and WP leader)

NFR IKTPLUSS project: AirQMan: Low Latency Air Quality Management (2021-2025) (WP leader)

NFR 273394- ‘‘Leopard-Wearable particle detector enabling safer working environments’’ (2018–2020) (Key Designer and Technical Coordinator)

His research interests include enabling technologies (advanced sensors, edge intelligence, IoT, etc…) and other autonomous systems for environmental monitoring and management.

Tuan-Vu Cao has 13 publications at NILU:

Data fusion of sparse, heterogeneous, and mobile sensor devices using adaptive distance attention

Lepioufle, Jean-Marie; Schneider, Philipp; Hamer, Paul David; Ødegård, Rune Åvar; Vallejo, Islen; Cao, Tuan-Vu; Taherkordi, Amirhosein; Wojcikowski, Marek

2024

Task Offloading Optimization for UAV-Aided NOMA Networks With Coexistence of Near-Field and Far-Field Communications

Bui, Tinh Thanh; Do, Thinh Quang; Huynh, Dang Van; Do-Duy, Tan; Nguyen, Long D.; Cao, Tuan-Vu; Sharma, Vishal; Duong, Trung Q.

2024

Features Inspired PM2.5 Prediction: A Belfast City Case Study

Naz, Fareena; Fahim, Muhammad; Cheema, Adnan Ahmad; Nguyen, Trung Viet; Cao, Tuan-Vu; Duong, Trung Q.

2024

Two-Stage Feature Engineering to Predict Air Pollutants in Urban Areas

Naz, Fareena; Fahim, Muhammad; Cheema, Adnan Ahmad; Nguyen, Trung Viet; Cao, Tuan-Vu; Hunter, Ruth; Duong, Trung Q.

2024

Cost-Efficient measurement platform and machine-learning-based sensor calibration for precise NO2 pollution monitoring

Pietrenko-Dabrowska, Anna; Koziel, Slawomir; Wojcikowski, Marek; Pankiewicz, Bogdan; Rydosz, Artur; Cao, Tuan-Vu; Wojtkiewicz, Krystian

2024

Joint Computation and Communication Resource Allocation for Unmanned Aerial Vehicle NOMA Systems

Do-Duy, Tan; Huynh, Dang V.; Garcia-Palacios, Emi; Cao, Tuan-Vu; Sharma, Vishal; Duong, Trung Q.

2023

Accurate Lightweight Calibration Methods for Mobile Low-Cost Particulate Matter Sensors

Jørstad, Per Martin; Wojcikowski, Marek; Cao, Tuan-Vu; Lepioufle, Jean-Marie; Wojtkiewicz, Krystian; Ha, Hoai Phuong

2023

Automatic Correction of Non-Anechoic Antenna Measurements using Low-Pass Filters

Bekasiewicz, Adrian; Waladi, Vorya; Wojcikowski, Marek; Cao, Tuan-Vu

2023

Accurate Lightweight Calibration Methods for Mobile Low-Cost Particulate Matter Sensors

Jørstad, Per Martin; Wojcikowski, Marek; Cao, Tuan-Vu; Lepioufle, Jean-Marie; Wojtkiewicz, Krystian; Ha, Hoai Phuong

2023

Comparative Analysis of Deep Learning and Statistical Models for Air Pollutants Prediction in Urban Areas

Naz, Fareena; McCann, Conor; Fadim, Muhammad; Cao, Tuan-Vu; Hunter, Ruth; Nguyen, Trung Viet; Nguyen, Long D.; Duong, Trung Q.

2023

An NO2 sensor based on WO3 thin films for automotive applications in the microwave frequency range

Paleczek, Anna; Grochala, D.; Staszek, K.; Gruszczynski, S.; Maciak, Erwin; Opilski, Zbigniew; Kaluzynski, Piotr; Wojcikowski, Marek; Cao, Tuan-Vu; Rydosz, A.

2022

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

Wojcikowski, Marek; Pankiewicz, Bogdan; Bekasiewicz, Adrian; Cao, Tuan-Vu; Lepioufle, Jean-Marie; Vallejo, Islen; Ødegård, Rune Åvar; Ha, Hoai Phuong

2022

Machine Learning-Based Digital Twin for Predictive Modeling in Wind Turbines

Fahim, Muhammad; Sharma, Vishal; Cao, Tuan-Vu; Canberk, Berk; Duong, Trung Q.

2022

User-driven Health risk Assessment Services and Innovative ADAPTation options against Threats from Heatwaves, Air Pollution, Wildfire Emission and Pollen (healthRiskADAPT)

Transformative adaptation is gaining recognition as the appropriate response to climate change as the current adaptive measures reach their limits. In addressing health risks associated with heat waves, air pollution, […]

Project period: 2024 – 2028

Ongoing

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

Climate warming is driven by increased concentrations of greenhouse gasses (GHGs) e.g., CO2 and CH4, in the atmosphere. Existing observatories are able to capture GHG information for large-scale global assessments, […]

Project period: 2023 – 2026

Ongoing

Low Latency Air Quality Management (AirQMAN)

Existing air quality (AQ) monitoring and management (AQMS) methods and evolving modelling practices across Norwegian and European cities have achieved significant improvements of AQ but further progress is needed due […]

Project period: 2021 – 2025

Ongoing

Engaging citizens in food diversity in cities (SmartFood)

“Grow your own food in the corridor of your building, reduce GHG (greenhouse gas) emission, the waste of food and energy and transportation costs! Improve your physical health by changing […]

Project period: 2021 – 2024

Ongoing

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

HAPADS is an ambitious project that will custom design and build a novel air mobile monitoring system (devices, data acquisition, analysis, and user interface), which will enable end-users (drivers, transport […]

Project period: 2020 – 2023

Ongoing

Tuan-Vu Cao received the PhD degree in electronics engineering from the University of Oslo in 2011 with the topic of micro-power sensor interface in nanometer CMOS technology.  During his PhD, he stayed at ISN Lab at UC San Diego in a year to implement a frequency adaptive BFSK MICS band (402-405 MHz) transmitter Chip for biomedical application. He has a long experience in both Academia and Industry.

From 2011 to 2012, he worked as a Postdoctoral Fellow at NTNU (Norwegian University of Science and Technology) to design a Delta-Sigma Analog to Digital converter at 65nm CMOS technology.

From 2012-2018, he worked in Industry as Senior Engineer at WINS Instrumentation AS and Prediktor AS for various projects, such as monitoring nutrient food content, and wireless DST real time instrumentation. Since 2018, he has come back Academia by joining NILU where he is currently a Senior Scientist.

Tuan-Vu Cao has been running several national and EU projects at NILU:

Horizon Europe project MISO – Autonomous Multi-Format In-Situ Observation Platform for Atmospheric Carbon Dioxide and Methane Monitoring in Permafrost & Wetlands; (2023-2026) (The PI and project coordinator)

EEA Grant project—HAPADS – a novel air mobile monitoring system enables end-users to make information-driven decisions to mitigate air pollution exposure; (2020-2023) (Co-PI and WP leader)

EEA Grant project SmartFood project “Engaging citizens in food diversity in cities”; (2021-2024) (Co-PI and WP leader)

NFR IKTPLUSS project: AirQMan: Low Latency Air Quality Management (2021-2025) (WP leader)

NFR 273394- ‘‘Leopard-Wearable particle detector enabling safer working environments’’ (2018–2020) (Key Designer and Technical Coordinator)

His research interests include enabling technologies (advanced sensors, edge intelligence, IoT, etc…) and other autonomous systems for environmental monitoring and management.

Tuan-Vu Cao has 13 publications at NILU:

Data fusion of sparse, heterogeneous, and mobile sensor devices using adaptive distance attention

Lepioufle, Jean-Marie; Schneider, Philipp; Hamer, Paul David; Ødegård, Rune Åvar; Vallejo, Islen; Cao, Tuan-Vu; Taherkordi, Amirhosein; Wojcikowski, Marek

2024

Task Offloading Optimization for UAV-Aided NOMA Networks With Coexistence of Near-Field and Far-Field Communications

Bui, Tinh Thanh; Do, Thinh Quang; Huynh, Dang Van; Do-Duy, Tan; Nguyen, Long D.; Cao, Tuan-Vu; Sharma, Vishal; Duong, Trung Q.

2024

Features Inspired PM2.5 Prediction: A Belfast City Case Study

Naz, Fareena; Fahim, Muhammad; Cheema, Adnan Ahmad; Nguyen, Trung Viet; Cao, Tuan-Vu; Duong, Trung Q.

2024

Two-Stage Feature Engineering to Predict Air Pollutants in Urban Areas

Naz, Fareena; Fahim, Muhammad; Cheema, Adnan Ahmad; Nguyen, Trung Viet; Cao, Tuan-Vu; Hunter, Ruth; Duong, Trung Q.

2024

Cost-Efficient measurement platform and machine-learning-based sensor calibration for precise NO2 pollution monitoring

Pietrenko-Dabrowska, Anna; Koziel, Slawomir; Wojcikowski, Marek; Pankiewicz, Bogdan; Rydosz, Artur; Cao, Tuan-Vu; Wojtkiewicz, Krystian

2024

Joint Computation and Communication Resource Allocation for Unmanned Aerial Vehicle NOMA Systems

Do-Duy, Tan; Huynh, Dang V.; Garcia-Palacios, Emi; Cao, Tuan-Vu; Sharma, Vishal; Duong, Trung Q.

2023

Accurate Lightweight Calibration Methods for Mobile Low-Cost Particulate Matter Sensors

Jørstad, Per Martin; Wojcikowski, Marek; Cao, Tuan-Vu; Lepioufle, Jean-Marie; Wojtkiewicz, Krystian; Ha, Hoai Phuong

2023

Automatic Correction of Non-Anechoic Antenna Measurements using Low-Pass Filters

Bekasiewicz, Adrian; Waladi, Vorya; Wojcikowski, Marek; Cao, Tuan-Vu

2023

Accurate Lightweight Calibration Methods for Mobile Low-Cost Particulate Matter Sensors

Jørstad, Per Martin; Wojcikowski, Marek; Cao, Tuan-Vu; Lepioufle, Jean-Marie; Wojtkiewicz, Krystian; Ha, Hoai Phuong

2023

Comparative Analysis of Deep Learning and Statistical Models for Air Pollutants Prediction in Urban Areas

Naz, Fareena; McCann, Conor; Fadim, Muhammad; Cao, Tuan-Vu; Hunter, Ruth; Nguyen, Trung Viet; Nguyen, Long D.; Duong, Trung Q.

2023

An NO2 sensor based on WO3 thin films for automotive applications in the microwave frequency range

Paleczek, Anna; Grochala, D.; Staszek, K.; Gruszczynski, S.; Maciak, Erwin; Opilski, Zbigniew; Kaluzynski, Piotr; Wojcikowski, Marek; Cao, Tuan-Vu; Rydosz, A.

2022

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

Wojcikowski, Marek; Pankiewicz, Bogdan; Bekasiewicz, Adrian; Cao, Tuan-Vu; Lepioufle, Jean-Marie; Vallejo, Islen; Ødegård, Rune Åvar; Ha, Hoai Phuong

2022

Machine Learning-Based Digital Twin for Predictive Modeling in Wind Turbines

Fahim, Muhammad; Sharma, Vishal; Cao, Tuan-Vu; Canberk, Berk; Duong, Trung Q.

2022

User-driven Health risk Assessment Services and Innovative ADAPTation options against Threats from Heatwaves, Air Pollution, Wildfire Emission and Pollen (healthRiskADAPT)

Transformative adaptation is gaining recognition as the appropriate response to climate change as the current adaptive measures reach their limits. In addressing health risks associated with heat waves, air pollution, […]

Project period: 2024 – 2028

Ongoing

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

Climate warming is driven by increased concentrations of greenhouse gasses (GHGs) e.g., CO2 and CH4, in the atmosphere. Existing observatories are able to capture GHG information for large-scale global assessments, […]

Project period: 2023 – 2026

Ongoing

Low Latency Air Quality Management (AirQMAN)

Existing air quality (AQ) monitoring and management (AQMS) methods and evolving modelling practices across Norwegian and European cities have achieved significant improvements of AQ but further progress is needed due […]

Project period: 2021 – 2025

Ongoing

Engaging citizens in food diversity in cities (SmartFood)

“Grow your own food in the corridor of your building, reduce GHG (greenhouse gas) emission, the waste of food and energy and transportation costs! Improve your physical health by changing […]

Project period: 2021 – 2024

Ongoing

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

HAPADS is an ambitious project that will custom design and build a novel air mobile monitoring system (devices, data acquisition, analysis, and user interface), which will enable end-users (drivers, transport […]

Project period: 2020 – 2023

Ongoing