Emine Yaman

Dr. Emine Yaman

Vanredni profesor Dr.
Dekan Edukacijskog fakulteta

B F2.7C

Degree	Faculty/Program	University	Year
PhD	Computer Engineering	Vienna University of Technology	2015
Dipl.Ing.	Engineering/Medical Informatics and Computer Engineering	Vienna University of Technology	2008
BSc.	Engineering/Medical Informatics and Computer Engineering	Vienna University of Technology	2006

Title	Faculty/Program	University	Period
Dean	Faculty of Education	International University of Sarajevo	10.2018-present
Assist.Prof.Dr	Computer Science and Engineering	International University of Sarajevo	09.2015-10.2018
Senior Assistant	Computer Science and Engineering	International University of Sarajevo	10.2008-09.2015

PUBLICATIONS

Yaman, E., Yaman, M.A., Subasi, A., Rattay, F. “Emg Signal Classification using Decision Trees and Neural Networks”, IJAS International Journal of Arts and Sciences, Bad Hofgastein (Austria) ISSN: 1944-6934::4(20):285-292(2011).

Yaman, M.A, Yaman, E., Subasi, A., Rattay, F. “Automatic Gender Classification from Color Images using Support Vector Machines”, IJAS International Journal of Arts and Sciences, Bag Hofgastein(Austria) ISSN: 1944-6934::4(20):279-283(2011).

Gursoy, O., Yaman, M.A., Yaman, E. “Performance Analysis on Students’ Gpas And Course Averages using Datamining Techniques”, The Journal of Knowledge Economy & Knowledge Management, Sarajevo(Bosnia and Herzegovina), vol. 7, issue. 1, ISSN:1308-3937, 2012.

Yaman, E., Yaman, M.A., Gursoy, O. “Analysis of Effects on Customer Segmentation using Datamining Methods”, The Journal of Knowledge Economy & Knowledge Management, Sarajevo(Bosnia and Herzegovina), 2012.

Yaman, E. “ Cluster Analysis using Data Mining Techniques”, First European Conference of Technology and Society, Sarajevo(Bosnia and Herzegovina), 2013.

Yaman, E., Midik A., Aydin,S., Yaman, M.A., “ EEG Signal Classification using K-NN and Voted Perceptron Methods”, First European Conference of Technology and Society, Sarajevo(Bosnia and Herzegovina), 2013.

Yaman, E., Jahic, N., “ Classification of Diabetes Patients using Datamining Technics”, International Molecular Biology and Biotechnology Congress, Sarayevo(Bosnia and Herzegovina), 2014.

Kutlay, M. A., Yaman, E., “Comparison of Different Machine Learning Algorithms for National Flags Classification”, Southeast Europe Journal of Soft Computing, Sarajevo(Bosnia and Herzegovina), vol.4, no.2, ISSN: 2233-1859, 2015.

Suljevic-Pasic, A., Yaman, E., “Categorizing Stars with Known Properties Using the Expectation-Maximization Clustering Algorithm”, Southeast Europe Journal of Soft Computing, vol.6 no.2 ISSN 2233 – 1859, 2017.

Yaman, E., Zerdo, Z. “Analyzing for Patterns in the Cattell’s 16 Personality Factors Dataset using Social Segmentation“,Wseas Transactions on Systems, vol 17, E-ISSN: 2224-2678, 2018.

Subasi, A., Yaman, E.,Somaily, Y., Alynabawi, H.A., Alobaidi, F., Altheibani, S., “Automated EMG Signal Classification for Diagnosis of Neuromuscular Disorders using DWT and Bagging”, Procedia Computer Science 140(2018)230-237, ScienceDirect.

Yaman, E., Musić, A., Zerdo, Z., “Using Classification to Determine Whether Personality Profiles of Countries Affect Various National Indexes”, International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO), DOI: 10.1109/ICCAIRO.2018.00017, Page(s):48 – 52, Prague, Czech Republic, IEEE Publisher, 2018.

Spahić, R., Bašić, D., Yaman, E., “Zeka - Friendy Chatterbot”, Southeast Europe Journal of Soft Computing, vol.8 no.1, ISSN 2233 – 1859, 2019.

Subasi, A., Yaman, E., “EMG Signal Classification using Discrete Wavelet Transform and Rotation Forest”, International Conference on Medical and Biological Engineering (CMBEBIH), DOI: https://doi.org/10.1007/978-3-030-17971-7_5, volume:73, Page(s): 29 – 35, Banja Luka, Bosnia and Herzegovina, Springer Nature Switzerland AG 2020, 2019.

WRITTEN BOOKS

Yaman, M.A., Yaman, E., Electronic Health Records. VDM Verlag Dr. Muller GmbH&Co, 2011.

RESEARCH INTERESTS

Business Intelligence, Data Mining, Machine learning, Computer vision, Digital signal processing, Robotic in medicine, Telemedicine.

TEACHING ACTIVITIES

UNDER GRADUATE COURSES

GRADUATE COURSES

REFEREED FOR THE JOURNALS

PROJECTS

Research Title: Diagnosis of Neuromuscular Disorders Using Wavelet Based Feature Extraction Methods and Ensemble Classifiers.
Research Field: Major: Electrical and Computer Engineering Minor:Biomedical Specific:Machine Learning
Duration of Proposed Research: 2 Years

Year: 2018.

ENS213 Programming for Engineers

Syllabus