Cigdem Beyan

Cigdem
Photo taken in Zeugma Mosaic Museum

Institute of Perception, Action and Behaviour (IPAB)
School of Informatics
The University of Edinburgh

Address:
Room IF-G.12
IPAB
School of Informatics
University of Edinburgh
10 Crichton Street
Edinburgh EH8 9AB
Scotland, UK

Email:
C.Beyan [at] sms [dot] ed [dot] ac [dot] uk



About Me

I am currently a PhD candidate in the School of Informatics at the University of Edinburgh. I am a member of the Institute of Perception, Action and Behaviour and my supervisor is Prof. R. Bob Fisher. My current research is in computer vision and pattern recognition area and I am working on fish trajectory analysis for Fish4Knowledge project.

Current Fish Trajectory Ground Truth Dataset

Publications

Google Scholar Citations

Patents

A.Temizel, C.Beyan, A Method for Individual Tracking of Multiple Objects, PCT Patent Application to WIPO, 13 April 2011.

Refereed Journal Papers

C. Beyan and R.B. Fisher, Classifying Imbalanced Data Sets Using Similarity Based Hierarchical Decomposition, Pattern Recognition, 2015, doi:10.1016/j.patcog.2014.10.032

C.Beyan, A.Temizel, A Multimodal Approach for Individual Tracking of People and Their Belongings, Imaging Science Journal, Jan. 2015.' doi:http://dx.doi.org/10.1179/1743131X14Y.0000000101

S. McDonagh, C. Beyan, P.X. Huang and R.B. Fisher, Applying semi-synchronised task farming to large-scale computer vision problems, International Journal of High Performance Computing Applications, May 2014. doi: 10.1177/1094342014532965

B. J. Boom, J. He, S. Palazzo, P. X. Huang, C. Beyan, H. Chou, F. Lin, C. Spampinato, R. B. Fisher, Research tool for the analysis of underwater camera surveillance footage, Ecological Informatics, Dec. 2013. doi: dx.doi.org/10.1016/j.ecoinf.2013.10.006

C. Spampinato, E. Beauxis-Aussalet, S.Palazzo, C. Beyan, J. van Ossenbruggen, J. He, B. Boom, X. Huang, A rule-based event detection system for real-life underwater domain, Machine Vision and Applications, 2013, doi: 10.1007/s00138-013-0509-x.

C.Beyan, A.Temizel, Adaptive Mean-Shift for Automated Multi Object Tracking, IET Computer Vision, vol.6, no.1, pp.1-12, doi:10.1049/iet-cvi.2011.0054, Jan. 2012.

C.Beyan, A.Yigit, A.Temizel, Fusion of Thermal and Visible Band Video for Abandoned Object Detection, SPIE Journal of Electronic Imaging, 20(3), 033001 (2011); doi:10.1117/1.3602204, Jul.-Sept. 2011.

Refereed International Conference Papers

C. Beyan, R. B. Fisher, (2013), Detection of Abnormal Fish Trajectories Using a Clustering Based Hierarchical Classifier, Proc. of British Machine Vision Conference (BMVC), Bristol, UK.

C. Beyan, R. B. Fisher, (2013), Detecting abnormal fish trajectories using clustered and labelled data, Proc. of International Conference on Image Processing (ICIP).

C.Beyan, R. B. Fisher, (2012), A Filtering Mechanism for Normal Fish Trajectories, Proc. of 21th International Conference on Pattern Recognition (ICPR), Tsukuba Science City, Japan.

B. J. Boom, P. X. Huang, C. Beyan, C. Spampinato, S. Palazzo, J. He, E. Beauxis-Aussalet, S.-I. Lin, H.-M. Chou, G. Nadarajan, Y.-H. Chen-Burger, J. van Ossenbruggen, D. Giordano, L. Hardman, F.-P. Lin, R. B. Fisher (2012), Long-term underwater camera surveillance for monitoring and analysis of fish populations, Proc. of Int. Workshop on Visual observation and Analysis of Animal and Insect Behavior (VAIB), in conjunction with ICPR 2012, Tsukuba, Japan, 2012.

S. Palazzo, C. Spampinato, C. Beyan (2012), Event Detection in Underwater Domain by Exploiting Fish Trajectory Clustering, Proc. of ACM International Workshop on Multimedia Analysis for Ecological Data, MAED'12 in conjunction with the 20th ACM Multimedia, Nara, Japan.

C.Beyan, A.Temizel, (2011), Mean-Shift Tracking for Surveillance Applications Using Thermal Infrared and Visible Band Data Fusion, Proc. of SPIE Defense, Security and Sensing (Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications VIII), Orlando, USA.

H.Ogul, C.Beyan, O.Eren, K.Yildiz, T.Ercelebi, B.Sonmez, (2010), MicroRNA target recognition from compositional features of aligned microRNA-mRNA dublexes, Proc. of International Symposium on Innovations in Intelligent Systems and Applications (INISTA), Kayseri, Turkey.

C.Beyan, H.Ogul, (2008), A fuzzy k-NN approach for cancer diagnosis with microarray gene expression data, Proc. of 3rd International Symposium on Health Informatics and Bioinformatics (HIBIT), Istanbul, Turkey.

Refereed National Conference Papers (Turkish)

C.Beyan, A.Temizel (2011), Detection of Abandoned Objects Using Thermal and Visible Band Tracking, 19th IEEE Conference on Signal Processing and Communications Applications, April, Antalya, Turkey. (Received Alper Atalay Best Student Paper Award, first place)

C.Beyan, A.Temizel (2011), A Hybrid Multi Object Tracker Using Mean-shift and Background Subtraction, 19th IEEE Conference on Signal Processing and Communications Applications, April, Antalya, Turkey.


Awards


Became Associate Fellow of The Higher Education Academy in recognition of attainment against the UK Professional Standards Framework for teaching and learning support in higher education (18/11/2014).

Edinburgh Global Overseas Research Scholarship (2011-2014).

Principal Career Development Scholarship, Teaching Track, University of Edinburgh (2011-2014).

2010-2011 Academic year Best Thesis Award given by Middle East Technical University (METU) to Postgraduate Thesis including all institutes,2011.

Best Thesis of the Year Award given by Prof. Dr. Mustafa N. Parlar Education and Research Foundation, Middle East Technical University (METU), 2011.

Alper Atalay Best Student Paper Award, first place, 19th IEEE Conference on Signal Processing and Communications Applications, April 2011.

SPIE Student Travel Grant, SPIE Defense, Security, and Sensing Symposium, April 2011.

Second Ranked Graduation from Department of Computer Engineering at Baskent University, 2008 (GPA: 3.64/4.00).

2007-2008 Academic Year Baskent University Academic Achievement Scholarship High Honour (GPA: 3.72/4.00).

2006-2007 Academic Year Baskent University Academic Achievement Scholarship High Honour (GPA: 3.73/4.00).