• 82 Citations
  • 4 h-Index
20122020

Research output per year

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Personal profile

Biography

Dr Sara Sharifzadeh completed her PhD study in Computer Science  in Technical University of Denmark, Department of applied Mathematics and Computer Science in 2015. Upon Completion of her PhD, she started her new career as Research Associate in Data Science at Loughborough University. She joined Coventry University in 2018 as a Lecturer in the School Computing, Electronics and Mathematics.

During her study and research career, Dr Sharifzadeh was involved in several industrial research projects funded by EPSRC and Danish Council for Strategic Research and industrial partners. Her main areas of research include signal/image analysis, machine learning, artificial intelligence and 3D point cloud data analysis.

Research Interests

  • Signal, image and video analysis
  • Multivariate data analysis
  • Machine learning
  • Artificial Intelligence (AI)
  • Spectral signal/image analysis
  • 3D point cloud data analysis
  • Robotics
  • Embedded systems

 

Education/Academic qualification

Computer Science, Doctorate, Technical University of Denmark

20112015

Multimedia Technologies, MSc, Autonomous University of Barcelona

20092010

Electronics Engineering, MSc

20042007

Electronics Engineering, Degree

19992002

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Research Output

  • 82 Citations
  • 4 h-Index
  • 8 Conference proceeding
  • 6 Article
  • 2 Poster

Robust hand-eye calibration of 2D laser sensors using a single-plane calibration artefact

Sharifzadeh, S., Biro, I. & Kinnell, P., 1 Feb 2020, In : Robotics and Computer-Integrated Manufacturing. 61, 10 p., 101823.

Research output: Contribution to journalArticle

Open Access
File
  • 2 Citations (Scopus)

    Farm Detection based on Deep Convolutional Neural Nets and Semi-supervised Green Texture Detection using VIS-NIR Satellite Image

    Sharifzadeh, S., Tata, J. & Tan, B., 2019, DATA 2019 - Proceedings of the 8th International Conference on Data Science, Technology and Applications. Hammoudi, S., Quix, C. & Bernardino, J. (eds.). SciTePress, Vol. 1. p. 100-108 9 p. (DATA 2019 - Proceedings of the 8th International Conference on Data Science, Technology and Applications).

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding

    Open Access
    File
  • 6 Downloads (Pure)

    Sparse Feature Extraction for Activity Detection Using Low-Resolution IR Streams

    Karayaneva, Y., Sharifzadeh, S., Jing, Y., Cherry, K. & Tan, B., 2019, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA). IEEE, p. 1837-1843 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding

    Open Access
    File
  • 7 Downloads (Pure)

    Abnormality detection strategies for surface inspection using robot mounted laser scanners

    Sharifzadeh, S., Biro, I., Lohse, N. & Kinnell, P., May 2018, In : Mechatronics. 51, p. 59-74 16 p.

    Research output: Contribution to journalArticle

    Open Access
    File
  • 7 Citations (Scopus)
    48 Downloads (Pure)

    Sparse supervised principal component analysis (SSPCA) for dimension reduction and variable selection

    Sharifzadeh, S., Ghodsi, A., Clemmensen, L. H. & Ersbøll, B. K., 1 Oct 2017, In : Engineering Applications of Artificial Intelligence. 65, p. 168-177 10 p.

    Research output: Contribution to journalArticle

  • 12 Citations (Scopus)