• 64 Citations
  • 4 h-Index
20122020
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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

Fingerprint Dive into the research topics where Sara Sharifzadeh is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Robots Engineering & Materials Science
Inspection Engineering & Materials Science
Robotics Engineering & Materials Science
Lasers Engineering & Materials Science
Robot learning Engineering & Materials Science
Torque measurement Engineering & Materials Science
Sensors Engineering & Materials Science
Principal component analysis Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2012 2020

  • 64 Citations
  • 4 h-Index
  • 7 Conference proceeding
  • 6 Article
  • 2 Poster

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
Farms
Image resolution
Textures
Satellites
Neural networks

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

Sharifzadeh, S., Biro, I. & Kinnell, P., 24 Jun 2019, In : Robotics and Computer-Integrated Manufacturing. 61, 10 p., 101823.

Research output: Contribution to journalArticle

Calibration
Laser
Robot
Robots
Sensor
4 Citations (Scopus)
32 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
Inspection
Robots
Lasers
Geometry
Surface measurement
7 Citations (Scopus)

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

Principal component analysis
Labels
Processing
Feature extraction
Decomposition

Learning Industrial Robot Force/torque Compensation: A Comparison of Support Vector and Random Forests Regression

Al-Yacoub, A., Sharifzadeh, S., Lohse, N., Usman, Z., Goh, Y. M. & Jackson, M., 2016, (846) Telehealth and Assistive Technology / 847: Intelligent Systems and Robotics - 2016. Acta Press

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

Open Access
Robot learning
Torque measurement
Force measurement
Torque
Robots