Eğitim Fakültesi Dekanı
Education
| 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 |
Academic Experience
| 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
- Algorithms and Data Structures
- Database Management
- Introduction to Data Mining
- Architecture and Inplementation of Database Management
- Introduction to Programming
- Introduction to Computer Engineering
- Computer Technology
- Social, Legal and Ethical Issues in Computing
- Artificial Intelligence
- Introduction to Machine Learning
GRADUATE COURSES
- Advance Data Mining
- Advance Database Management Systems
- Advance Artificial Intelligence
REFEREED FOR THE JOURNALS
- Neural Computing and Applications (Springer) since 2016.
- Biomedical Engineering and Computational Biology, Sage Journals, since 2018.
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
Homework 1 (Deadline 15.03.2020)
Homework 2 (Deadline 29.03.2020 )
,
CS 302 Algorithms and Data Structures
ppt 4-Insertion Sort, Selection Sort
ppt 5-Divide-Conquer(Quick Sort-Merge Sort)
ppt 6- Binary Trees, Tree Traversal
ppt 8- Balanced Binary Search Trees
Codes of Linear Search and Binary Search
Codes of Bubble Sort and Insertion Sort
,
CS404 ARTIFICIAL INTELLIGENCE
4.Informed Search and Exploration
5. Constraints Satisfaction Problems
,
EE418 Introduction to Machine Learning
Homework 1 (submission deadline 21.11.2019)
Homework 2 (submission deadline 28.11.2019)
Homework 3 (submission deadline 05.12.2019)
,
CS306 Database Management