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Dr. Emine Yaman
Associate Professor Dr.
Dean of Faculty of Education

Education

DegreeFaculty/ProgramUniversityYear

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

TitleFaculty/ProgramUniversityPeriod

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.

 

 

  • 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.

 

 

  • 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.

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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

Syllabus

Homework 1 (Deadline 15.03.2020)

Homework 2 (Deadline 29.03.2020 )

Chapter 1

Chapter 2

Chapter 3

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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CS 302 Algorithms and Data Structures

Syllabus

Grades

ppt 1-Basic Data Structures

ppt 2-Algorithm Analyses

ppt 3-Searching and Sorting

ppt 4-Insertion Sort, Selection Sort

ppt 5-Divide-Conquer(Quick Sort-Merge Sort)

ppt 6- Binary Trees, Tree Traversal

ppt 7- BInary Search Trees

ppt 8- Balanced Binary Search Trees

ppt 9- B Trees

ppt 10- Hashing

ppt 11- Heaps

ppt 12_Graphs

 

Examples about Runtime

Codes of Linear Search and Binary Search

Codes of Bubble Sort and Insertion Sort

Codes of Selection Sort

Codes of Quick Sort

Codes of Merge Sort

 

 

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CS404 ARTIFICIAL INTELLIGENCE

Syllabus

1. Introduction

2. Intelligence Agents

3.Search

4.Informed Search and Exploration

5. Constraints Satisfaction Problems

6. Adversarial Search

7. Logical Agents

8. Uncertainty

9. Data

10. Classification

,

EE418 Introduction to Machine Learning

Syllabus

Description about Project

Homework 1 (submission deadline 21.11.2019)

Homework 2 (submission deadline 28.11.2019)

Homework 3 (submission deadline 05.12.2019)

Chapter 1 _Introduction

Chapter 2_Data

Chapter 3_Data Exploration

Chapter 4_Classification

Chapter 5_Cluster Analysis

Chapter 6_Anomaly Detection

 

 

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CS306 Database Management

Syllabus

Chapter 1

Chapter 2

Chapter 4

Chapter 6

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