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Tomi Westerlund

Tomi Westerlund

D-Index & Metrics

Computer Science

D-Index
35
Citations
5824
World Ranking
11622
National Ranking
99

Overview

Tomi Westerlund is affiliated with the University of Turku in Finland and has a substantial body of research primarily in computer science and engineering. Their work spans various fields and subfields, notably aerospace engineering, computer networks and communications, electrical and electronic engineering, information systems, and computer vision and pattern recognition.

Their research topics include:

  • Robotics and sensor-based localization
  • Blockchain technology applications and security
  • IoT and edge/fog computing
  • Remote sensing and LiDAR applications
  • Indoor and outdoor localization technologies
  • UAV applications and optimization
  • Underwater vehicles and communication systems

The scientist has coauthored with several frequent collaborators, including Jorge Peña Queralta, Xianjia Yu, Qingqing Li, Zhuo Zou, and Sahar Salimpour.

Some of Westerlund's recent papers include:

  • "Collaborative Multi-Robot Search and Rescue: Planning, Coordination, Perception, and Active Vision" (2020) published in IEEE Access
  • "UWB-Based Localization for Multi-UAV Systems and Collaborative Heterogeneous Multi-Robot Systems" (2020) published in Procedia Computer Science
  • "MSS U-Net: 3D segmentation of kidneys and tumors from CT images with a multi-scale supervised U-Net" (2020) published in Informatics in Medicine Unlocked
  • "Multi-Sensor Fusion for Navigation and Mapping in Autonomous Vehicles: Accurate Localization in Urban Environments" (2020) published in Unmanned Systems
  • "Smart Parking System with Dynamic Pricing, Edge-Cloud Computing and LoRa" (2020) published in Sensors

The primary publication venues where Westerlund's work frequently appears include arXiv (Cornell University), Procedia Computer Science, Sensors, Remote Sensing, and the IEEE Internet of Things Journal.

Best Publications

  • Timepix3: a 65K channel hybrid pixel readout chip with simultaneous ToA/ToT and sparse readout

    T Poikela;J Plosila;T Westerlund;M Campbell

  • Fog Computing in Healthcare Internet of Things: A Case Study on ECG Feature Extraction

    Tuan Nguyen Gia;Mingzhe Jiang;Amir-Mohammad Rahmani;Tomi Westerlund

  • Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey

    Wenshuai Zhao;Jorge Pena Queralta;Tomi Westerlund

  • Collaborative Multi-Robot Search and Rescue: Planning, Coordination, Perception, and Active Vision

    Jorge Pena Queralta;Jussi Taipalmaa;Bilge Can Pullinen;Victor Kathan Sarker

  • A Survey on Odometry for Autonomous Navigation Systems

    Sherif A. S. Mohamed;Mohammad-Hashem Haghbayan;Tomi Westerlund;Jukka Heikkonen

  • Energy efficient wearable sensor node for IoT-based fall detection systems

    Tuan Nguyen Gia;Victor Kathan Sarker;Igor Tcarenko;Amir M. Rahmani;Amir M. Rahmani

  • Low-cost fog-assisted health-care IoT system with energy-efficient sensor nodes

    Tuan Nguyen Gia;Mingzhe Jiang;Victor Kathan Sarker;Amir M. Rahmani

  • IoT-based continuous glucose monitoring system: A feasibility study

    Tuan Nguyen Gia;Mai Ali;Imed Ben Dhaou;Amir M. Rahmani;Amir M. Rahmani

  • Edge-AI in LoRa-based Health Monitoring: Fall Detection System with Fog Computing and LSTM Recurrent Neural Networks

    J. Pena Queralta;T. N. Gia;H. Tenhunen;T. Westerlund

  • Energy efficient fog-assisted IoT system for monitoring diabetic patients with cardiovascular disease

    Tuan Nguyen Gia;Imed Ben Dhaou;Mai Ali;Amir M. Rahmani;Amir M. Rahmani

  • UWB-Based Localization for Multi-UAV Systems and Collaborative Heterogeneous Multi-Robot Systems

    Wang Shule;Wang Shule;Carmen Martínez Almansa;Jorge Peña Queralta;Zhuo Zou

  • Leveraging Fog Computing for Healthcare IoT

    Behailu Negash;Tuan Nguyen Gia;Arman Anzanpour;Iman Azimi

  • MSS U-Net: 3D segmentation of kidneys and tumors from CT images with a multi-scale supervised U-Net

    Wenshuai Zhao;Dihong Jiang;Jorge Peña Queralta;Tomi Westerlund

  • Multi-Sensor Fusion for Navigation and Mapping in Autonomous Vehicles: Accurate Localization in Urban Environments

    Qingqing Li;Qingqing Li;Jorge Peña Queralta;Tuan Nguyen Gia;Zhuo Zou

  • Fault tolerant and scalable IoT-based architecture for health monitoring

    Tuan Nguyen Gia;Amir-Mohammad Rahmani;Tomi Westerlund;Pasi Liljeberg

  • Comparative study of LPWAN technologies on unlicensed bands for M2M communication in the IoT : Beyond Lora and Lorawan

    J. Peña Queralta;T. N. Gia;Z. Zou;Hannu Tenhunen

  • Edge AI in Smart Farming IoT: CNNs at the Edge and Fog Computing with LoRa

    T. Nguyen Gia;L. Qingqing;J. Pena Queralta;Z. Zou

  • UWB-based System for UAV Localization in GNSS-Denied Environments: Characterization and Dataset

    Jorge Pena Queralta;Carmen Martinez Almansa;Fabrizio Schiano;Dario Floreano

  • A Survey on LoRa for IoT: Integrating Edge Computing

    V. K. Sarker;J. Pena Queralta;T. N. Gia;H. Tenhunen

  • Customizing 6LoWPAN networks towards Internet-of-Things based ubiquitous healthcare systems

    Tuan Nguyen Gia;Nanda Kumar Thanigaivelan;Amir-Mohammad Rahmani;Tomi Westerlund

  • Communication-efficient distributed AI strategies for the IoT edge

    Unknown

  • Edge and Fog Computing Enabled AI for IoT-An Overview

    Zhuo Zou;Yi Jin;Paavo Nevalainen;Yuxiang Huan

  • UWB-Based Localization for Multi-UAV Systems and Collaborative Heterogeneous Multi-Robot Systems: a Survey

    Wang Shule;Carmen Martínez Almansa;Jorge Peña Queralta;Zhuo Zou

Frequent Co-Authors

Hannu Tenhunen
Hannu Tenhunen Royal Institute of Technology
Juha Plosila
Juha Plosila University of Turku
Pasi Liljeberg
Pasi Liljeberg University of Turku
Zhuo Zou
Zhuo Zou Fudan University
Erkki Sutinen
Erkki Sutinen University of Turku
Tapio Salakoski
Tapio Salakoski University of Turku
Moncef Gabbouj
Moncef Gabbouj Tampere University
Li-Rong Zheng
Li-Rong Zheng Fudan University
Masoud Daneshtalab
Masoud Daneshtalab Mälardalen University
Hong-Linh Truong
Hong-Linh Truong Aalto University

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