Shan Sirwan Mustafa Khazendar

Education

Sep 2011– Mar 2016

PhD in Computer Science (University of Buckingham, Buckingham, UK).

Research project entitled: Computer-aided Diagnosis of Gynaecological Abnormality using B-mode Ultrasound Images

Jan 2007– Jan 2008

MSc. degree in Innovative Computing (University of Buckingham, Buckingham, UK).

Research project entitled: Ethnicity Recognition from Face Images

Nov 1999 – July 2003

BSc. degree in Statistics and Computer (College of Commerce, University of Sulaimani, Iraq).

Employment History

2016– Present

Lecture at (Statistics and Informatics and Accounting) department, College of Administration and Economics, University of Sulaimani, Iraq.

2017- 2018

Visiting Lecturer at the Kurdistan Technical Institute, IT department, Sulaimani, Iraq.

2013

Teaching three months of Data Mining Course at the University of Buckingham, Buckingham, UK.

2008-2011

Lecturer at the Accounting department, College of administration and Economic, University of Sulaimani, Iraq.

2004 – 2006

IT and Network Supporter at the University of Sulaimani / Computer Center, Iraq.

Teaching Skills

· Image Processing

· Medical Image Processing

· Data Mining

· Management Information System

· Fundamental of Programming C,C++

· MATLAB Software (Mathwork)

Languages

· Kurdish (Mother tongue)

· English – excellent command (understanding, reading and writing)

· Arabic – excellent command (understanding, reading and writing)

Collaborative activities

§ 2012-2016 Department of Early Pregnancy, Imperial College, Queen Charlotte's and Chelsea Hospital, London, UK.

§ 2012-2016 Department of Cancer and Surgery, Queen Charlotte's and Chelsea Hospital, Imperial College, London, UK

§ 2012-2016 Department of Obstetrics and Gynaecology, University Hospital KU Leuven, Leuven, Belgium.

Training Courses and Invited Talk

Training Courses

§ International Ovarian Tumour Analysis (IOTA) group, International Society of Ultrasound in Obstetrics and Gynaecology (ISUOG) educational course, Advanced Course in Gynaecological Ultrasound: Imaging in Oncology, on 17-18 January 2014, London, UK.

§ International Ovarian Tumour Analysis (IOTA) group, International Society of Ultrasound in Obstetrics and Gynaecology (ISUOG) educational course, Advanced Course in Gynaecological Ultrasound: Using Ultrasound for the Diagnosis and Management of Gynaecological Malignancy, on 30 November and 1 December 2012, London, UK.

§ English Language, English department, university of Buckingham, Sep 2006, Buckingham, UK

§ Teaching Methods, University of Sulaimani, 2010.

Invited Talk

§ International Ovarian Tumour Analysis (IOTA) group, International Society of Ultrasound in Obstetrics and Gynaecology (ISUOG) educational course, Advanced Course in Gynaecological Ultrasound: Imaging in Oncology, on 17-18 January 2014, London, UK.

§ First International Ovarian Tumour Analysis (IOTA) Congress, Department of Obstetrics and Gynaecology, University hospital KU Leuven, on 26-27 April 2013, Leuven, Belgium.

Publications and Presentations

Publications

1. Khazendar S., Sayasneh A., Al-Assam H., Du H., Kaijser J., Ferrara L., Timmerman D., Jassim S., Bourne T., Automated Characterisation of Ultrasound Images of Ovarian Tumours: The Diagnostic Accuracy of a Support Vector Machine and Image Processing with a Local Binary Pattern Operator, Facts, views & vision in ObGyn, 2015, Vol. 7, No.1, pp. 7-15.

2. Khazendar S.,Farren J., Al-Assam H., Sayasneh A., Du H., Jassim S., Bourne T., Automatic Identification of Miscarriage Cases Supported by Decision Strength using Ultrasound Images of the Gestational Sac, Annals of the BMVA, UK, 2015, No. 5, (pp. 1−16).

3. Khazendar S., Sayasneh A., Al-Assam H., Du H., Kaijser J., Ferrara L., Timmerman D., Jassim S., Bourne T., Automated Classification of Static Ultrasound Images of Ovarian Tumours based on Decision Level Fusion, 6th Computer Science and Electronic Engineering Conference (CEEC), University of Essex, UK, 2014, (pp. 148-153), IEEE.

4. Khazendar S.,Farren J., Al-Assam H., Sayasneh A., Du H., Jassim S., Bourne T., Automatic Identification of Early Miscarriage Based on Multiple Features Extracted From Ultrasound Images, Medical Image Understanding and Analysis Conference MIUA, City University London, UK, 2014, (pp.131-136).

5. Khazendar S.,Farren J., Al-Assam H., Sayasneh A., Du H., Jassim S., Bourne T., Automatic Segmentation and Classification of Gestational Sac Based on Mean Sac Diameter using Medical Ultrasound Image, SPIE Sensing Technology+ Applications. International Society for Optics and Photonics, Baltimore, Maryland, USA, 2014, vol. 9120, (pp. 91200A-91200A).

6. José Martínez-Más, Andrés Bueno-Crespo, Shan Khazendar, Manuel Remezal-Solano, Juan-Pedro Martínez-Cendán, Sabah Jassim, Hongbo Du, Hisham Al Assam, Tom Bourne, Dirk Timmerman, Evaluation of machine learning methods with Fourier Transform features for classifying ovarian tumors based on ultrasound images, PLoS ONE 14(7): e0219388

Posters

1. Khazendar S., Sayasneh A., Du H., Timmerman D., Bourne T., Preisler J., Guha S., Kaijser J., Jassim S., Enhancing Static Ultrasound Images for Classification of Types of Human Ovarian Tumour, Biotrinity Meeting, , Newbury, Berkshire, UK, 2013.

2. Khazendar S., Sayasneh A., Du H., Timmerman D., Bourne T., Preisler J., Kaijser J., Jassim S., A Preliminary Study of Automatic Classification of Ultrasound Images of Ovarian Tumours using Support Vector Machine classifier, Human Capacity Development Program HCDP, Kurdistan students conference, University of Nottingham, Nottingham, UK, 2013.