2024

  • Nguyen, T.T. H., Nguyen, V.T. K., Cao, Q.H., Truong, V.B., Nguyen, Q.K., & Cao, H., (2024). Enhancing the Fairness and Performance of Edge Cameras with Explainable AI In The 42nd IEEE International Conference on Consumer Electronics (ICCE 2024). Las Vegas, NV, USA.
        [DOI]

  • Clement, T., Nguyen, T.T. H., Abdelaal, M., & Cao, H., (2024). XAI-Enhanced Semantic Segmentation Models for Visual Quality Inspection. In The 42nd IEEE International Conference on Consumer Electronics (ICCE 2024). Las Vegas, NV, USA.
        [DOI]

  • Nuh Mih, A., Cao, H., Kawnine, A., & Wachowicz, M. (2024). ECAvg: A Collaborative Edge-Cloud Approach using Averaged Weights. In The 42nd IEEE International Conference on Consumer Electronics (ICCE 2024). Las Vegas, NV, USA.
        [DOI]

  • Kawnine, A., Cao, H., Mih Nuh, A., & Wachowicz, M. (2024). Evaluating Multi-Global Server Architecture for Federated Learning. In The 42nd IEEE International Conference on Consumer Electronics (ICCE 2024). Las Vegas, NV, USA.
        [DOI]

2023

  • Cao, H., Wachowicz, M., Richard, R. & Hsu, C-H. (2023). Fostering new Vertical and Horizontal IoT Applications with Intelligence Everywhere. In Collective Intelligence, 2(3).
        [DOI]

  • Hsu, C-H., Xu, M., Cao, H.,, Baghban, H., & Ali, A. B. M. S.(2023). Big Data Intelligence and Computing. (Edited Book). In Springer Nature. ISBN: 978-981-99-2233-8
        [DOI]

  • Mih Nuh, A., Cao, H., Wachowicz, M., Pickard, J. & Dubay, R. (2023). TransferD2: Automated Defect Detection Approach in Smart Manufacturing using Transfer Learning Techniques. In 2023 IEEE International Conference on Omni-Layer Intelligent Systems (IEEE COINS) IEEE. Berlin, Germany.
        [DOI]

  • Nuh Mih, A., Cao, H., (2023, April). EdgeAI for Defect Detection using Transfer Learning Techniques in the Context of Smart Manufacturing. In UNB Computer Science Research Expo . Fredericton, NB, Canada.
        [DOI]

  • Kawnine, A., Cao, H., (2023, April). Towards A Performance Evaluation for Federated Averaging on Edge Devices. In UNB Computer Science Research Expo . Fredericton, NB, Canada.
        [DOI]

  • Dadhich, S., Cao, H., (2023, April). Developing an IoT prototype for Climate Data Acquisition using Arduino. In UNB Computer Science Research Expo . Fredericton, NB, Canada.
        [DOI]

2022

  • Richard, R., Cao, H., & Wachowicz, M. (2022). EVStationSIM: An end-to-end platform to identify and interpret similar clustering patterns of EV charging stations across multiple time slices. In Applied Energy, 322, 119491.
        [DOI]

  • McCully, L., Cao, H., Wachowicz, M., Champion, S. & Williams, P.A.H. (2022). Discovering self-quantified patterns using multi-time window models. In Applied Computing and Informatics.
        [DOI]

  • Richard, R., Cao, H., & Wachowicz, M. (2022). A Spatial-temporal Comparison of EV Charging Station Clusters Leveraging Multiple Validity Indices. In Communications in Computer and Information Science book series.
        [DOI]

2021

  • Cao, H., Wachowicz, M. & Craig, J. (2021). Edge-Cloud Intelligence in Self-Diagnostic of Land Mobile Radio Systems. In Internet of Things (WF-IoT), 2021 IEEE 7rd World Forum on. IEEE. New Orleans, Louisiana, USA.
          [DOI]

  • Parise A., Callejo, M. A. M., Cao, H., & Wachowicz, M. (2021). Prophet model for forecasting occupancy presence in indoor spaces using non-intrusive sensors. In AGILE: GIScience Series 2, 1-13.
          [DOI]

  • Richard, R., Cao, H., & Wachowicz, M. (2021). An Automated Clustering Process for Helping Practitioners to Identify Similar EV Charging Patterns Across Multiple Temporal Granularities. In Proceedings of the 10th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS (pp. 67-77). ISBN 978-989-758-512-8. Virtual Conference. (Acceptance Rate: 19%)
        [DOI] (  Best Student Paper Award)

2020

  • Richard, R., Cao, H., & Wachowicz, M. (2020). Discovering EV Recharging Patterns through an Automated Analytical Workflow. In 2020 IEEE International Smart Cities Conference (ISC2) (pp. 1-8). IEEE. Virtual Conference.
        [DOI]

  • Cao, H., & Wachowicz, M. (2020). A Holistic Overview of Anticipatory Learning for the Internet of Moving Things: Research Challenges and Opportunities. Special Issue State-of-the-Art in Spatial Information Science. In International Journal of Geo-Information 9(4), 272.
        [DOI]

2019

  • Cao, H., & Wachowicz, M. (2019). An Edge-Fog-Cloud Architecture of Streaming Analytics for Internet of Things Applications. Special Issue Edge/Fog/Cloud Computing in the Internet of Things. In Sensors 19(16), 3594.
        [DOI]

  • Cao, H., Wachowicz, M., Renso, C., & Carlini, E. (2019). Analytics Everywhere: generating insights from the Internet of Things. In IEEE Access, 7, 71749-71769.
        [DOI]

  • Cao, H., & Wachowicz, M. (2019). The design of an IoT-GIS platform for performing automated analytical tasks. In Computers, Environment and Urban Systems, 74, 23-40.
        [DOI]

  • Cao, H., & Wachowicz, M. (2019). Analytics Everywhere for streaming IoT data. In 2019 Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS) (pp. 18-25). IEEE. Granada, Spain.
          [DOI]

  • Cao, H., Brown M., Chen L., Smith R., & Wachowicz, M. (2019). Lessons learned from integrating batch and stream processing using IoT data. In 2019 Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS) (pp. 32-34). IEEE. Granada, Spain.
          [DOI]

  • Parise A., Callejo, M. A. M., Cao, H., Mendonca M., Kohli H., & Wachowicz, M. (2019). Indoor Occupancy Prediction using an IoT Platform. In 2019 Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS) (pp. 26-31). IEEE. Granada, Spain.
          [DOI]

2018

  • Cao, H., Wachowicz, M., Renso, C., & Carlini, E. (2018). An edge-fog-cloud platform for anticipatory learning process designed for internet of mobile things In arXiv: 1711.09745
        [arXiv]

2017

  • Cao, H., Wachowicz, M., & Cha, S. (2017, December). Developing an edge computing platform for real-time descriptive analytics. In Big Data (Big Data), 2017 IEEE International Conference on (pp. 4546-4554). IEEE. Boston, MA, USA.
          [DOI]

  • Maduako, I., Cao, H., Hernandez, L., & Wachowicz, M. (2017, October). Combining edge and cloud computing for mobility analytics. In Proceedings of the Second ACM/IEEE Symposium on Edge Computing (p. 22). ACM. San Jose, CA, USA.
        [DOI]

  • Hernandez, L., Cao, H., & Wachowicz, M. (2017, October). Implementing an Edge-Fog-Cloud architecture for stream data management. In Fog World Congress (FWC), 2017 IEEE (pp. 1-6). IEEE. Santa Clara, CA, USA.
          [DOI]

  • Cao, H., & Wachowicz, M. (2017, August). The design of a streaming analytical workflow for processing massive transit feeds. In 2nd International Symposium on Spatiotemporal Computing. Harvard University, Cambridge, MA, USA.
       

  • Cao, H. (2017). What is the next innovation after the internet of things?. arXiv preprint arXiv:1708.07160. (Technical Report)
     

2016

  • Cha, S., Ruiz, M. P., Wachowicz, M., Tran, L. H., Cao, H., & Maduako, I. (2016, December). The role of an IoT platform in the design of real-time recommender systems. In Internet of Things (WF-IoT), 2016 IEEE 3rd World Forum on (pp. 448-453). IEEE. Reston, Virginia, USA
        [DOI]

  • Cao, H., Maduako, I., Cavalheri, E., Brideau, E., & Wachowicz, M. (2016, September). The Role of Graph Databases in Geomatics. In Geomatics Atlantics 2016, Fredericton, NB, Canada.
          [DOI]

  • Cao, H., Maduako, I., Cavalheri, E., Brideau, E., & Wachowicz, M. (2016, September). How can graph databases improve transit systems? In UNB Research Showcase, University of New Brunswick, Fredericton, NB, Canada.
      [DOI]

2015

  • Cao, V. H., Chu, K. X., Le-Khac, N. A., Kechadi, M. T., Laefer, D., & Truong-Hong, L. (2015, July). Toward a new approach for massive LiDAR data processing. In Spatial Data Mining and Geographical Knowledge Services (ICSDM), 2015 2nd IEEE International Conference on (pp. 135-140). IEEE.
          [DOI]

2012

  • Lung, V. D., Van Hung, C., Loc, N. P., & Quoc, N. V. (2012, December). Analysis of Vietnamese tones to optimize database in speech synthesis using unit selection method. In Signal Processing and Information Technology (ISSPIT), 2012 IEEE International Symposium on (pp. 000043-000048). IEEE.
        [DOI]

2011

  • C Hung, L La, P Duy, & V Lung. (2011) Musical fountain modeling, controlled by audio frequency analysis using FFT algorithm. In Vietnam National Conference on Information Technology. (in Vietnamese)
     

Contact us

Analytics Everywhere Lab

University of New Brunswick
Computer Science Faculty
Room GC107,
550 Windsor St, Fredericton,
Canada, E3B 5A3

Email: hcao3[at]unb[dot]ca

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