Publications

• Publications as book chapters

[BC1] B. Negash, T.N. Gia, A. Anzanpour, I. Azimi, M. Jiang, T. Westerlund, A. M. Rahmani, P. Liljeberg, and H. Tenhunen. “Leveraging Fog Computing for Healthcare IoT”. In A.M. Rahmani, P. Liljeberg, J. Preden, and A. Jantsch (Eds.), Fog Computing in the Internet of Things, chapter 8, pp. 145-169. Springer, 2018.
[BC2] T. N. Gia and M. Jiang. “Exploiting Fog computing in health monitoring”. In R. Buyya and S.N. Srirama (Eds.), Fog and Edge Computing: Principles and Paradigms, chapter 22, pp. 291-318. Wiley STM, 2019
[BC3] T. N. Gia, J.P. Queralta, T Westerlund. “Exploiting LoRa, edge, and fog computing for traffic monitoring in smart cities”. In B.S. Chaudhari and M. Zennaro (Eds.), LPWAN Technologies for IoT and M2M Applications, chapter 16, pp 347-371, Elsevier, 2020
[BC4] T.Nguyen and T.N.Gia. “Novel smart homecare IoT system with edge-AI and Blockchain”. In S. Namasudra and K. Akkaya, “Blockchain and its Applications in Industry 4.0”, chapter 11, pp.1-30, Springer, 2023”

• Publications in peer-reviewed journals

[J1] S. R. Moosasi, T. N. Gia, E. Nigussie, A.M. Rahmani, S. Virtanen, J. Isoaho, and H. Tenhunen, “End-to-End Security Scheme for Mobility Enabled Healthcare Internet of Things” in Future Generation Computer Systems -Elsevier, 2016 (Q1, IF: 5.135)
[J2] A. M. Rahmani, T. N. Gia, B. Negash, A. Anzanpour, I. Azimi, M. Jiang, and P. Liljeberg. “Exploiting smart e-health gateways at the edge of healthcare internet-of-things: a fog computing approach.” In Elsevier – Future Generation Computer Systems – Elsevier,2018 (Q1, IF: 6.794)
[J3] T. N. Gia, A. M. Rahmani, T. Westerlund, P. Liljeberg, and H. Tenhunen. “Fog Computing Approach for Mobility Support in Internet-of-Things Systems.” In IEEE Access, Dec.2018 (Q1, IF: 4.817)
[J4] T. N. Gia, V.K. Sarker, I. Tcarenko, A. M. Rahmani, T. Westerlund, P. Liljeberg, and H. Tenhunen. “Energy Efficient Wearable Sensor Node for IoT-based Fall Detection Systems” In Microprocessors and Microsystems – Elsevier, 2018 (Q3, IF: 1.045)
[J5] T. N. Gia, I.B. Dhaou, M. Ali, A.M. Rahmani, T. Westerlund, P. Liljeberg and H. Tenhunen. “Energy efficient fog-assisted IoT system for monitoring diabetic patients with cardiovascular disease”, In 2019, Future Generation Computer Systems – Elsevier, 198-211, 2019 (Q1, IF: 8.754)
[J6] L. Qingqing, J. P. Queralta, T. N. Gia, Z. Zou, and T. Westerlund. “Multi-Sensor Fusion for Navigation and Mapping in Autonomous Vehicles: Accurate Localization in Urban Environments”, Unmanned Systems – World Scientific, Vol. 8, No. 1, 1–8, 2020 (Q2)
[J7] A. Nawaz, J. P. Queralta, J. Guan, M. Awais, T. N. Gia, A. K. Bashir, H. Kan, T. Westerlund. “Edge Computing to Secure IoT Data Ownership and Trade with the Ethereum Blockchain”, Sensors, 20, p.3965, 2020 (Q2, IF: 4.35)
[J8] J. P. Queralta, J. Taipalmaa, B. C. Pullinen, V. K. Sarker, T. N. Gia, H. Tenhunen, M. Gabbouj, J. Raitoharju, T. Westerlund. “Collaborative multi-robot search and rescue: Planning, coordination, perception, and active vision”, IEEE Access, 2020, p. 191617-191643 (Q1, IF: 4.476)
[J9] A. Allouch, O. Cheikhrouhou, A. Koubâa, K. Toumi, M. Khalgui, T. N. Gia. “UTM-chain: blockchain-based secure unmanned traffic management for internet of drones”, Sensors, 21, p.3049, 2021 (Q2, IF: 4.35)
[J10] O. Cheikhrouhou, R. Mahmud, R. Zouari, M. Ibrahim, A. Zaguia, T.N. Gia. “One-dimensional CNN Approach for ECG Arrhythmia Analysis in Fog-Cloud Environments”, IEEE Access, 2021 (Q1, IF: 4.476)
[J11] R. Katila, T. N. Gia, T. Westerlund. “Analysis of mobility support approaches for edge-based IoT systems using high data rate Bluetooth Low Energy 5”, Computer Networks – Elsevier, Vol. 209, 2022 (Q1, IF: 4.474)
[J12] R. Chaaria, O. Cheikhrouhouc, A. Koubaa, H. Youssefb, T. N. Gia. “Dynamic Computation Offloading for Ground and Flying Robots: Taxonomy, State of Art, and Future Directions”, Computer Science Review – Elsevier, Vol. 45, 2022 (Q1, IF: 7.872)
[J13] T. Nguyen, R. Katila, T. N. Gia, “A Novel Internet-of-Drones System with Edge Computing and Blockchain for Search and Rescue”, Future Generation Computer Systems – Elsevier, Vol. 140, pp 36-52, 2023 (Q1, IF: 7.187)

• Publications in peer-reviewed conferences

2014

[C1] S. M. A. H. Jafri, T. N. Gia, S. Dytckov, M. Daneshtalab, A. Hemani, J. Plosila, and H. Tenhunen. “NeuroCGRA: A CGRA with Support for Neural Networks”, In the International Conference on High Performance Computing & Simulation (HPCS), pp.1–6, IEEE, 2014.
[C2] T. N. Gia, N. K. Thanigaivelan, A. M. Rahmani, T. Westerlund, P. Liljeberg, H. Tenhunen. “Customizing 6LoWPAN Networks towards Internet-of-Things Based Ubiquitous Healthcare Systems”, In IEEE International Norchip Conference (NORCHIP’14), IEEE, 2014.

       2015

[C3] A. M. Rahmani, N. K. Thanigaivelan, T. N. Gia, J. Granados, B. Negash, P. Liljeberg, and H. Tenhunen. “Smart e-Health Gateway: Bringing Intelligence to Internet-of-Things Based Ubiquitous Healthcare Systems”, In Proc. of Annual IEEE Consumer Communications and Networking Conference (IEEE CCNC), pp. 826-834, USA, 2015.
[C4] T. N. Gia, S. M. A. H. Jafri, M. Daneshtalab, A. Hemani, S. Dytckov, J. Plosila, and H. Tenhunen. “FIST: A Framework to Interleave Spiking neural networks on CGRAs”, In the 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), pp.751–758, IEEE, 2015.
[C5] T. N. Gia, M. Jiang, A. M. Rahmani, T. Westerlund, P. Liljeberg, and H. Tenhunen. “Fog Computing in Healthcare Internet-of-Things: A Case Study on ECG Feature Extraction”, In Proc. of IEEE International Conference on Computer and Information Technology (CIT2015), IEEE, UK, 2015.
[C6] S. R. Moosavi, T. N. Gia, A. M. Rahmani, E. Nigussie, S. Virtanen, J. Isoaho, and H. Tenhunen. “SEA: A Secure and Efficient Authentication and Authorization Architecture for IoT-Based Healthcare Using Smart Gateways”, In Procedia Computer Science – Elsevier, Vol. 52, 2015.
[C7] S. R. Moosasi, T. N. Gia, E. Nigussie, A. M. Rahmani, S. Virtanen, J. Isoaho, and H. Tenhunen. “Session Resumption-Based End-to-End Security for Healthcare Internet-of-Things”, In Proc. of IEEE International Conference on Computer and Information Technology (CIT2015), IEEE, UK, 2015.
[C8] T. N. Gia, M. Jiang, A. M. Rahmani, T. Westerlund, K. Mankodiya, P. Liljeberg, H. Tenhunen. “Fog Computing in Body Sensor Networks: An Energy Efficient Approach”, In Proc. of IEEE International Body Sensor Networks Conference (BSN’15), IEEE, USA, 2015.
[C9] T. N. Gia, A. M. Rahmani, T. Westerlund, P. Liljeberg, and H. Tenhunen. “Fault Tolerant and Scalable IoT-based Architecture for Health Monitoring”, In Proc. of IEEE Sensors Applications Symposium (IEEE SAS), Croatia, 2015.

        2016

[C10] M. Jiang, T. N. Gia, A. Anzanpour, A. M. Rahmani, T. Westerlund, P. Liljeberg, and H. Tenhunen. “IoT-based Remote Facial Expression Monitoring System with sEMG Signal”, In IEEE Sensors Applications Symposium (IEEE SAS), 2016.
[C11] I. Tcarenko, T. N. Gia, A. M. Rahmani, T. Westerlund, P. Liljeberg, and H. Tenhunen. “Energy-Efficient IoT-Enabled Fall Detection System with Messenger-Based Notification”, In the International Conference on Wireless Mobile Communication and Healthcare (MobiHealth), Springer, 2016.
[C12] T. N. Gia, I. Tcarenko, A. M. Rahmani, T. Westerlund, P. Liljeberg, and H. Tenhunen. “IoT-based fall detection system with energy efficient sensor nodes”, In IEEE Nordic Circuits and Systems Conference (NORCAS), IEEE, Copenhagen, 2016.

        2017

[C13] I. B. Dhaou, T. N. Gia, P. Liljeberg, and H. Tenhunen. “Low-Latency Hardware Architecture for Cipher-Based Message Authentication Code”, In IEEE International Symposium on Circuits and Systems (IEEE ISCAS), Baltimore, MD, USA, 2017.
[C14] V. K. Sarker, M. Jiang, T. N. Gia, A. Anzanpour, A. M. Rahmani, P. Liljeberg, and H. Tenhunen. “Portable Multipurpose Bio-signal Acquisition and Wireless Streaming Device for Wearables”, In IEEE Sensors Applications Symposium (SAS), IEEE, USA, 2017 (IEEE innovative spotlight)
[C15] M. Ali, T. N. Gia, A. E. Taha, A. M. Rahmani, T. Westerlund, P. Liljeberg, and H. Tenhunen. “Autonomous patient/home health monitoring powered by energy harvesting”, In IEEE Global Communications Conference (IEEE GLOBECOM), 2017.
[C16] T. N. Gia, M. Jiang, V. K. Sarker, A. M. Rahmani, T. Westerlund, P. Liljeberg, and H. Tenhunen. “Low-cost fog-assisted health-care IoT system with energy-efficient sensor nodes.” In IEEE Wireless Communications and Mobile Computing Conference (IWCMC), IEEE, 2017.
[C17] T. N. Gia, M. Ali, I. B. Dhaou, A. M. Rahmani, T. Westerlund, P. Liljeberg, and H. Tenhunen. “An IoT-based continuous glucose monitoring system: A feasibility study”, In Procedia Computer Science – Elsevier, Vol.109, 2017.

        2019

[C18] T. N. Gia, A. Nawaz, J. P. Queralta, H. Tenhunen, and T. Westerlund. “Artificial Intelligence at the Edge in the Blockchain of Things”, In the 8th EAI International Conference on Wireless Mobile Communication and Healthcare (MobiHealth), Springer, 2019.
[C19] J. P. Queralta, C. Mccord, T. N. Gia, H. Tenhunen, and T. Westerlund. “Communication-free and index-free distributed formation control algorithm for multi-robot systems”, In Procedia Computer Science-Elsevier, Vol. 151, 2019.
[C20] L. QingQing, J. P. Queralta, T. N. Gia, H. Tenhunen, Z. Zou, and T. Westerlund. “Visual Odometry Offloading in Internet of Vehicles with Compression at the Edge of the Network”, In the 12th International Conference on Mobile Computing and Ubiquitous Networking (ICMU), IEEE, Nepal, 2019.
[C21] L. Qingqing, J. P. Queralta, T. N. Gia, and T. Westerlund. “Offloading Monocular Visual Odometry with Edge Computing: Optimizing Image Quality in Multi-Robot Systems”, In the 5th International Conference on Systems, Control and Communications (ICSCC), ACM, Wuhan, China, 2019.
[C22] M. R. Nakhkash, T. N. Gia, I. Azimi, A. Anzanpour, A.M. Rahmani, P. Liljeberg. “Analysis of Performance and Energy Consumption of Wearable Devices and Mobile Gateways in IoT Applications”, In International Conference on Omni-Layer Intelligent Systems (IEEE COIN), Greece, 2019.
[C23] A. Nawaz, J. P. Queralta, T. N. Gia, H. Tenhunen, and T. Westerlund. “Edge AI and Blockchain for Privacy-Critical and Data-Sensitive Applications”, In the 12th International Conference on Mobile Computing and Ubiquitous Networking (ICMU), IEEE, Nepal, 2019.
[C24] L. QingQing, Y. Fu, J. P. Queralta, T. N. Gia, Z. Zou, H. Tenhunen, and T. Westerlund. “Edge Computing for Mobile Robots: Multi-Robot Feature-Based Lidar Odometry with FPGAs”, In the 12th International Conference on Mobile Computing and Ubiquitous Networking (ICMU), IEEE, Nepal, 2019. (Best student poster award)
[C25] T. N. Gia, L. QingQing, J. P. Queralta, Z. Zou, H. Tenhunen, and T. Westerlund. “Lossless Compression Techniques in Edge Computing for Mission-Critical Applications in the IoT”, In the 12th International Conference on Mobile Computing and Ubiquitous Networking (ICMU), IEEE, Nepal, 2019.
[C26] A. Metwaly, J. P. Queralta, V. Sarker, T. N. Gia, H. Tenhunen, and T. Westerlund. “Edge Computing with Embedded AI: Thermal Image Analysis for Occupancy Estimation in Intelligent Buildings”, In IEEE Embedded Week (IEEE ESWEEK), USA, 2019.
[C27] J. P. Queralta, T. N. Gia, Z. Zou, H. Tenhunen, and T. Westerlund. “Distributed Progressive Formation Control with One-Way Communication for Multi-Agent Systems”, In the IEEE Symposium Series on Computational Intelligence (IEEE SSCI), 2019.
[C28] J. P. Queralta, F. Yuhong, L. Salomaa, L. Qingqing, T. N. Gia, H. Tenhunen, and T. Westerlund. “FPGA-based Architecture for a Low-Cost 3D Lidar Design and Implementation from Multiple Rotating 2D Lidars with ROS”, In IEEE SENSORS, Montreal, 2019.
[C29] T. N. Gia, L. QingQing, J. P. Queralta, H. Tenhunen, and T. Westerlund. “Edge AI in Smart Farming IoT: CNNs at the Edge and Fog Computing with LoRa”, In 2019 IEEE AFRICON, 2019.
[C30] L. QingQing, J. P. Queralta, T. N. Gia, Z. Zou, H. Tenhunen, and T. Westerlund. “Detecting Water Reflection Symmetries in Point Clouds for Camera Position Calibration in Unmanned Surface Vehicles”, In the 19th International Symposium on Communications and Information Technologies (ISCIT’19), IEEE, Vietnam, 2019 (Nominated best paper)
[C31] C. Mccord, J. P. Queralta, T. N. Gia, H. Tenhunen, and T. Westerlund. “Distributed Progressive Formation Control for Multi-Agent Systems: 2D and 3D deployment of UAVs in ROS/Gazebo with RotorS”, In the European Conference on Mobile Robots (ECMR), IEEE, 2019.
[C32] J. P. Queralta, T. N. Gia, Z. Zou, H. Tenhunen, and T. Westerlund. “Comparative Study of LPWAN Technologies on Unlicensed Bands for M2M Communication in the IoT: beyond LoRa and LoRaWAN”, In Procedia Computer Science – Elsevier, Vol. 155, 2019.
[C33] J. P. Queralta, T. N. Gia, H. Tenhunen, and T. Westerlund. “Edge-AI in LoRa-based Health Monitoring: Fall Detection System with Fog Computing and LSTM Recurrent Neural Networks”, In IEEE International Conference on Telecommunications and Signal Processing (TSP), IEEE, Budapest, 2019
[C34] V. K. Sarker, J. P. Queralta, T. N. Gia, H. Tenhunen, and T. Westerlund. “A Survey on LoRa for IoT: Integrating Edge Computing”, 2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC), IEEE, Roma, 2019.
[C35] M. Ali, A. Ali, A. M. Taha, I. B. Dhaou, and T. N. Gia. “Intelligent Autonomous Elderly Patient Home Monitoring System”, In IEEE International Conference on Communications (IEEE ICC), Shanghai, China, 2019.
[C36] V. K. Sarker, J.P. Queralta, T. N. Gia, H. Tenhunen, and T. Westerlund. “Offloading SLAM for Indoor Mobile Robots with Edge-Fog-Cloud Computing”, In 2019 International Conference and Robo Fest – ICASERT, IEEE, 2019.
[C37] J. P. Queralta, T. N. Gia, H. Tenhunen, and T. Westerlund. “Collaborative Mapping with IoE-based Heterogeneous Vehicles for Enhanced Situational Awareness”, In IEEE Sensors Applications Symposium (IEEE SAS), 2019.

        2020

[C38] S. Bao, T. N. Gia, W. Chen, and T. Westerlund. “Wearable Health Monitoring System using Flexible Materials Electrodes”, In IEEE World Forum on Internet-of-Things (IEEE WF-IoT), USA, 2020.
[C39] V. Sarker, T. N. Gia, H. Tenhunen, and T. Westerlund. “Lightweight Security Algorithms for Resource-constrained IoT-based Sensor Nodes”, In 2020 IEEE International Conference on Communications (IEEE ICC), Dublin, Ireland, 2020.
[C40] J. P. Queralta, L. QingQing, T. N. Gia, H-L. Truong, T. Westerlund. “End-to-End Design for Self-Reconfigurable Heterogeneous Robotic Swarms”, In the 16^th International Conference on Distributed Computing in Sensor Systems, IEEE DCOSS, 2020.
[C41] L. Qingqing, J. Taipalmaa, J. P. Queralta, T. N. Gia, M. Gabbouj, H. Tenhunen, J. Raitoharju, T. Westerlund, “Towards active vision with UAVs in marine search and rescue: Analyzing human detection at variable altitudes”, In IEEE International Symposium on Safety, Security, and Rescue Robotics (IEEE SSRR), 2020.

        2021

[C42] T. Nguyen, R. Katika, T.N. Gia. “A Novel Internet-of-Drones and Blockchain-based System Architecture for Search and Rescue”, In IEEE International Conference on Mobile Ad-Hoc and Smart Systems (IEEE MASS), 2021
[C43] M. Nguyen, T.N. Gia, T. Westerlund. “EMG-based IoT System using Hand Gestures for Remote Control Applications”, in 2021 IEEE World Forum on Internet-of-Things (IEEE WF-IoT), 2021.

       2022

[C44] T.N. Gia, Z. Wang, T. Westerlund. “Detection of Epilepsy Seizures based on Deep Learning with Attention Mechanism”, EAI MobiHealth 2021 – 10th EAI International Conference on Wireless Mobile Communication and Healthcare (MobiHealth), Springer, 2022

• Theses

[Ph.D. Thesis] “Design for Energy-Efficient and Reliable Fog-Assisted Healthcare IoT Systems”, Ph.D. thesis,
University of Turku, 2018. Supervisors: Dr. Pasi Liljeberg, Dr. Amir Rahmani, and Dr. Tomi Westerlund, Research director: Dr. Hannu Tenhunen
Published: https://www.utupub.fi/handle/10024/146407

[M.Sc. Thesis] “Noninvasive healthcare monitoring system based on customized 6LoWPAN architecture”,
MSc thesis, University of Turku, 2014. Supervisors: Dr. Pasi Liljeberg, and Dr. Amir Rahmani