About
I am an Applied AI Researcher and Engineer working on AI-enhanced human–machine interaction and privacy protection. As a guest researcher at NTNU, I work on explainable, logic-based AI for privacy-enhancing technologies. In industry, I also build secure internal agents and design architecture-level security for AI integration as an AI engineer at SOLVENOR AS.
Since 2020 I have worked at NTNU, USN and NTNU again on privacy-enhancing machine learning and AI applications. I have applied my research and methods across health data, human–machine interaction and industry: Norway's cross-organisational health-data infrastructure, maritime operations, and field studies in Norway, Germany, China and Malaysia.
I received my PhD from the Harbin Institute of Technology, where I studied human-centric privacy enhancement, in particular intent-aware methods based on pattern recognition. I applied these methods to vehicular networks, the mobile internet and location-based services, publishing in IEEE Transactions on Intelligent Transportation Systems, IEEE Network and IEEE TII.
Experience
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2024 — Now
Explainable, logic-based AI for privacy protection in trustworthy AI systems.
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2024 — Now
Build secure internal agents and architecture-level security for AI integration. Spatial-temporal data and agentic AI.
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2022 — 2025
EU MSCA-RISE project ENHANCE: machine learning for maritime human–machine interaction. Project Academic Coordinator and Steering Committee member.
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2020 — 2022
Architected privacy-enhancing health-data infrastructure and distributed privacy agents for Norwegian cross-organisational data sharing.
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— 2019
Thesis: Research on Privacy Preservation of Location Data. Intent-aware, pattern-recognition-based privacy for IoV, mobile internet and LBS.
Projects
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Live monitoring and evaluation dashboards for AI coding agents: multi-agent panels, deterministic scoring, a seven-dimension performance radar and LLM-based error taxonomy.
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Privacy-enhancing health-data infrastructure for Norway. Research Council of Norway #288856.
NOK 27M · SINTEF, Directorate of eHealth, KU Leuven, Maastricht
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EU MSCA-RISE project: ML and formal models of cognitive human behaviour for complex socio-technical (maritime) systems.
Norway · Germany · China · Malaysia
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A line of work on pattern-recognition-based intent awareness for location privacy in vehicular networks, edge computing, 5G and LBS.
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ADAPT (NordForsk Green Transition), VOSS (RCN Young Talents, rated 6/7, eligible for funding), Privacy Agent for IoT and Wood4Health.
Publications
Privacy-enhancing technologies across vehicular networks, mobile internet, IoT, edge computing, maritime 5G and health data. Click any paper to open it; the full record is on Google Scholar.
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CloudNet
Preserving Location Privacy under Maritime 5G using Intent-oriented Scheme
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IEEE DSC
Logic-Based Trust Model for Industrial Cyber Intelligence with Enhanced Trustworthiness
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IEEE T-ITS
LocJury: An IBN-based Location Privacy Preserving Scheme for IoCV
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pHealth
Reinforcing Health Data Sharing through Data Democratization
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IEEE Network
Preserving Location Privacy in UASN through Collaboration and Semantic Encapsulation
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IEEE Network
Location Privacy in Mobile Edge Computing: Classification and Exploration
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IEEE TII
Real-Time Lateral Movement Detection Based on Evidence Reasoning Network for Edge Computing Environment
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IEEE ICC
Preserving Location Privacy in Mobile Edge Computing
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IEEE Access
Lightweight Anonymous Geometric Routing for Internet of Things
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CMC
Location Privacy in Device-Dependent Location-Based Services: Challenges and Solution
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Sensors
A Privacy Preserving Scheme for Nearest Neighbour Query
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IEEE DSC
A Location Privacy-Aware Method for kNN Query in Location Based Services
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ICCCS
VAT: A Velocity-Aware Trajectory Privacy Preservation Scheme for IoT Searching
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ICCCS
Enhancing Location Privacy for Geolocation Service through Perturbation
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Cluster Comp.
A Competitive Model of Popularity Prediction using Correlation Matrix
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J. Commun.
Research on Location Privacy on Mobile Internet 中文
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J. Commun.
KAP: Location Privacy-Preserving Approach in Location Services 中文
Teaching & Service
4 theses (HIT, Sichuan Univ., MSRA joint) → IEEE DSC, IEICE; one University-level Excellent Thesis.
NTNU IMT4125 Network Security course co-design. 8 semesters as TA at HIT, 160+ students each.
Guest Editor, Digital Communications and Networks. Reviewer for IEEE TDSC, IEEE IoT-J, JISA and others.
Talk · Huawei Connect
Progress and trends of industrial-internet security: threats, standards and technology taxonomy.