Faranak Sobhani

Vita

01/2018 - 01/2019
Post-Doctoral Training Fellow, Department of Computer Science, Queen Mary University of London, United Kingdom
01/2017 - 01/2018
Research Scientist, Knowledge Representation and Reasoning, CNR Research Centre, Pisa, Italy
01/2014 - 08/2018
PhD, Computer Scince, Research Assistant, Queen Mary University of London, United Kingdom
06/2005 - 11/2007
MSc, Networking & Data communication, Kingston University, London, United Kingdom
06/1997 - 05/2001
B.S., Telecommunications Engineering, Iran, Shiraz University

Publications

Journal papers

  1. F. Sobhani, Q. Zhang, U. Straccia, Towards a Forensic Event Ontology to Assist Video Surveillance-based Vandalism Detection, in Knowledge and Information Systems (KAIS), 2017.
  2. F. Sobhani, Q. Zhang, U. Straccia, Towards a Forensic fuzzy Event Ontology to Assist Video Surveillance-based Vandalism Detection, submitted to IEEE transactions on fuzzy systems).
  3. 3, Vol:9(2);pp 52-57

Conference papers

  1. F.Sobhani,K. Chandramouli, Q. Zhang, E. Izquierdo, “Formal representation of events in a surveillance domain ontology.” Iin Image Processing (ICIP), 2016 IEEE International Conference on (pp. 913 917).
  2. F.Sobhani, E. Izquierdo, T.Piatrik, Ontology-based forensic event detection using inference rules, in Engineering, Technology and Innovation (ICE/ITMC), 2017 International Conference.
  3. Sobhani, N. F. Kahar, Q. Zhang, An ontology framework for automated visual surveillance system, in Content-Based Multimedia Indexing (CBMI), 2015 13th International Workshop on (pp. 1-7). IEEE.
  4. C. Henersderson, S. Blasi, F. Sobhani, E. Izquierdo, On the impurity of street-scene video footage, in 6th International Conference on Imaging for Crime Detection and Prevention (ICSP-15), pp.1-7, IET,2015.
  5. F. Sobhani , Q. Zhang, E. Izquierdo, Analysis and development of forensic domain ontology using Description Logic, in International Conference Proceedings Series (ICPS) and will be available in ACM Digital Library, ISBN: 978-1-4503-4774-7.