Bilde av Ha, Hoai Phuong
Bilde av Ha, Hoai Phuong
Professor Department of Computer Science phuong.hoai.ha@uit.no +4777644032 Tromsø You can find me here

Hoai Phuong Ha


Job description

Phuong H. Ha received the Ph.D. degree in Computer Science from Chalmers University of Technology, Sweden in 2006. He has been a full professor at the Department of Computer Science, UiT The Arctic University of Norway since 2019, and the leader of the Arctic Green Computing (AGC) research group since 2014. His current research interests are sustainability in ICT and by ICT, including Green AI, efficient cloud-edge-IoT computing, and sustainable environmental observation systems.

Research projects:

International

  • EXCESS: Execution Models for Energy-Efficient Computing Systems, EU FP7 ICT, 2013 - 2016 (WP-leader, PI from Norway).
  • TAILOR - Network of Research Centres for Foundations of Trustworthy AI, EU H2020 ICT-48 (Network member)
  • HAPADS - Highly Accurate and Autonomous Programmable Platform for Providing Air Pollution Data Services to Drivers and Public, EEA POLNOR 2019, 2020 - 2023 (WP-leader, PI from UiT)
  • MISO - Autonomous Multi-Format In-Situ Observation Platform for Atmospheric Carbon Dioxide and Methane Monitoring in Permafrost & Wetlands, EU HORIZON, 2023 - 2026 (WP-leader, PI from UiT)

National (Research Council of Norway - RCN)

  • PREAPP: PRoductivity and Energy-efficiency through Abstraction-based Parallel Programming, RCN FRIPRO Young Research Talents, 2014 - 2019 (Project leader, PI)
  • eX3 - Experimental Infrastructure for Exploration of Exascale Computing, RCN Research Infrastructure, 2017 - 2022 (WP-leader, PI from UiT)
  • Distributed Arctic Observatory (DAO): A Cyber-Physical System for Ubiquitous Data and Services Covering the Arctic Tundra, RCN IKTPLUSS initiative, 2017 -  2022 (WP-leader, Co-PI)
  • CEHOW - Controlling Energy Harvesting Operation in Wireless Devices, RCN Commercialization, 2025 (Co-PI)

UiT

  • ARC - Arctic Center for Sustainable Energy, UiT, 2017 - 2025 (Founder member, Co-PI). 

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Research interests

  • Green AI, efficient machine learning, distributed machine learning, edge intelligence
  • Efficient cloud-edge-IoT computing systems and cyber-physical systems, energy informatics
  • Sustainable environmental observation systems

Teaching

  • Green Computing (Spring 2016, Spring 2017, Spring 2018, Spring 2020, Autumn 2021, Spring 2026)
  • Operating System Fundamentals (Spring 2011, Spring 2012, Spring 2013, Spring 2021, Spring 2022, Spring 2023, Spring 2025)
  • Concurrent and Data-Intensive Programming (Autumn 2014, Autumn 2019, Autumn 2020)
  • Parallel Programming (Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2017, Autumn 2022)
  • Computer Architecture and Organization (Autumn 2024)

Member of research group / centre




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