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I am a postdoctoral researcher in the Pervasive Data Science group at the Department of Computer Science, University of Helsinki, Finland. My research centers on addressing fundamental challenges in enabling the Artificial Intelligence of Things (AIoT), with the goals of ensuring efficient sensing and data analytics pipelines, enhancing the scalability and robustness of AIoT systems, and fostering human-AI collaboration. I develop intelligent sensing pipelines that facilitate innovative data collection methods, enhance data quality and reliability, and create predictive models for real-time forecasting, ultimately providing actionable insights that inform decision-making. Through my work, I aspire to contribute to a sustainable future by harnessing the power of technology to drive positive changes in both our environment and society.
News
11.08.2025: Invited PC member for IUI 2026.
31.07.2025: "SpikEy: Preventing Drink Spiking using Wearables" has been accepted for publication in the ACM International Conference on Multimodal Interaction (ICMI 2025). This work presents an innovative system that combines optical sensing, signal processing, and embedded AI, to detect spiked drinks in real-world environments.
31.07.2025: "SARF: Sparsity-Aware Reconstruction Framework for Large-Scale Datasets", available on TechRxiv, introduces a unified data fusion and adaptive reconstruction approach for improving data quality and handling temporal-spatial sparsity in large-scale IoT and smart device datasets.
19.06.2025: Our vision paper "Quantum Computing and the Internet of Things: Current Landscape and Future Opportunities", available on TechRxiv, offers a forward-looking perspective on integrating quantum computing with IoT, highlighting key challenges, impacts, and a strategic research roadmap.
15.05.2025: Serving as PC member for UbiComp/ISWC 2025 Posters and Demos.
06.03.2025: Now on TechRxiv: "LLMS and IoT: A Comprehensive Survey on Large Language Models and the Internet of Things" provides a comprehensive survey of current research, challenges, and directions for leveraging LLMs to enhance IoT systems.
17.02.2025: Our work "Mission imputable: Effects of missing data processing on infectious disease detection and prognosis", available on medRxiv, investigates the impact of different missing data imputation methods on AI/ML model performance and clinical insights in COVID-19 diagnosis and patient deterioration.
2024
2024
02.10.2024: Serving as PC member for IUI 2025.
10.09.2024: "Population Digital Health: Continuous Health Monitoring and Profiling at Scale" has been accepted for publication in Online Journal of Public Health Informatics (OJPHI 2024). This work presents PDH approach and demonstrates its use of digital health information sourced from health internet of things (IoT) and wearable devices for population health modeling.
13.08.2024: "Low-Cost Sensing for Environmental Sustainability" has been accepted for publication in IEEE Pervasive Computing. This work demonstrates how low-cost pervasive sensing can transform understanding and monitoring of environmental pollutants, supporting sustainable solutions across air quality, littering, and marine plastics.
12.03.2024: "AI making waves in marine data collection" features our collaboration work with researchers at the University of Tartu, University of Madeira, and MARE-Madeira, ARDITI.
29.02.2024: Presenting our work on detecting the presence of micro-plastics at HotMobile 2024, San Diego, US.
31.01.2024: "Man and the Machine: Effects of AI-assisted Human Labeling on Interactive Annotation of Real-Time Video Streams" has been accepted for publication in ACM Transactions on Interactive Intelligent Systems (TiiS 2024). This work explores how AI can support real-time annotation tasks, showing the greatest benefits for non-experts and improved data quality for training AI models.
20.01.2024: SEAGULL: Low-Cost Pervasive Sensing for Monitoring and Analysing Underwater Plastics has been accepted for publication at the 9th ACM/IEEE Conference on Internet of Things Design and Implementation (IoTDI 2024). This work presents a pervasive sensing system for monitoring and identifying underwater plastics in situ using LED-based optical sensing and convolutional sparse coding.
11.01.2024: Our invention "Apparatus and method for tracking a device having a magnet" has been published as an international patent application WO2024010530A1.
2023
2023
15.12.2023: "Life is Plastic? Detecting the Presence of Micro-Plastics in Food and Drink Containers" has been accepted for publication at the 25th International Workshop on Mobile Computing Systems and Applications (HotMobile 2024). This work presents a novel wearable system using optical sensing and ML to detect and classify micro-plastics in drink.
26.10.2023: "The Price is Right? The Economic Value of Sharing Sensors" has been accepted for publication in IEEE Transactions on Computational Social Systems (TCSS 2023). This work reveals how users weigh privacy, energy, and incentives when deciding to share smartphone resources, offering novel insights for designing collaborative sensing and AI systems.
16.04.2023: "Lost in the Deep?: Performance Evaluation of Dead Reckoning Techniques in Underwater Environments" has been accepted for publication in ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT 2023). This work evaluates dead reckoning techniques in underwater environments, revealing how algorithm performance differs from land-based use and providing insights for accurate underwater navigation.
11.11.2022: Serving as Publication Chair for the 21st ACM International Conference on Mobile Systems, Applications, and Services (ACM MobiSys 2023) to be held in Helsinki, Finland on June 18-23, 2023.
03.05.2022: "Long Range Localization in Real-Time Tracking of Magnet Position Using Attentive Sensing Channels" has been accepted for publication in the 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2022). This work presents a non-invasive magnetic tracking system for real-time catheter tip monitoring, enhancing patient safety and procedural accuracy in medical procedures like NG tube insertions.
03.08.2021: "Intelligent Shifting Cues: Increasing the Awareness of Multi-Device Interaction Opportunities" has been accepted for publication in the 29th Conference on User Modeling, Adaptation and Personalization (UMAP 2021). This work introduces innovative design of interaction cues for enhancing engagement and fluidity in multi-device interactions.
04.07.2021: Our research work on intelligent advertisement placement is featured in HIIT news.
24.04.2020: "(M)ad to See Me?: Intelligent Advertisement Placement: Balancing User Annoyance and Advertising Effectiveness" has been accepted for publication in ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT 2020). This work presents an intelligent mobile advertisement placement strategy that reduces user disruption while maintaining ad effectiveness.
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