1

Turgay IBRIKCI, PhD.

Cukurova University

Electrical and Electronics Engineering Department

Adana, 01330, TURKEY

Tel: +90 (322) 338 6868 ext 139 (work)

e-mail: ibrikci@cu.edu.tr, turgayibrikci@gmail.com

PERSONAL

Language skills: Turkish, English

Marital Status: Married, two children

Personal skills: Create ideas to solve problems, excellent computer skills and data

analysis supervises others, works and manages in culturally diverse

environment.

EDUCATION

PhD. Jan 1994 – Jan 2000 Cukurova University, Electrical and Electronics Engineering

Department, Computer Science Subdivision,

Adana, Turkey.

Msc. 1991-1993 M. S Computer Science. Southern Nova University, Computer

Science Department, Forth Lauderdale, FL. USA

Non Degree 1989-1990 English Language. University of Florida, English Language Institute,

Gainesville, FL USA.

BS 1977 – 1981 Cukurova University, Physics Department, Adana, Turkey.

WORK EXPERIENCE

2014 – 2017 Assoc. Prof. Dr. Cukurova University, Data Center, Adana, Turkey.

2014 – Present Assoc. Prof. Dr. Cukurova University, Biotechnology Research and

Application Center (Biotechnology), Adana, Turkey.

2014 – Present Assoc. Prof. Dr. Cukurova University, Computer Eng. Depart., Adana,

Turkey

2014 – Present Assoc. Prof. Dr. Cukurova University, Electrical and Electronics Eng.

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Depart., Computer Science Subdivision, Adana, Turkey.

2003 – 2014 Asst. Prof. Dr. Cukurova University, Computer Eng. Depart., Adana,

Turkey.

2000 – 2014 Asst. Prof. Dr. Cukurova University, Electrical and Electronics Eng.

Depart., Adana, Turkey.

1993 - 2000 Lecturer &

Researcher.

Cukurova University, Electrical and Electronics Eng.

Depart., Adana, Turkey.

1984 – 1988 Computer

Analyst and

Programmer.

Elsan Computer Company Adana Turkey.

1982- 1984 Computer

Analyst and

Programmer.

Cukurova University, Computer Center, Adana, Turkey.

RESEARCH INTERESTS

Computational Biology: Protein Structures, Motifs, Contact maps

Neural Networks: Creating new algorithms for computational learning

Pattern Recognition: Classification and clustering.

Software Engineering: Numerical Programming and Computing with C/C++, C#, MATLAB

Master Students

1. Hazal Su Bıçakcı (2017)

2. Kerem SALÇIN (2017)

3. Mahmood Najeeb ABED (2017)

4. Derya BİLGİÇ-Biyoteknoloji (201)

Supervised Master Theses

1- Nusaibah Khalid ABDULMAJEED (2017), “Classification the dataset in medical care

(breast cancer) Using machine learning algorithm”, Supported by Çukurova University

Research Fund. (FYL-2016-6805)

2- Jean De Dieu UWISENGEYIMANA (2017), “Diagnosing Knee Pathology Using Surface

Electromyography (SEMG) and Artifical Neural Networks”, Supported by Çukurova

University Research Fund. (FYL-2017-7864).

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3- Mustafa Özber YÜCEKUL (2015), “Using Machine Learning Methods to Predict Protein

Contact Map”

4- İclal ÇETİN TAŞ (2012), "Depiction of Hemorrhagic Regions Caused By Diabetic

Retinopathy Images by Using Image Enhancement and Basic Classification Methods", Co-

advisor Asst. Prof. Dr. Sami Arıca (Çukurova Univ.), Supported by Çukurova University

Research Fund. (MMF-2011YL2)

5- Esra KARABULUT (2012), “A Research on Performance of Decision Support Systems in

Diagnosis of Coronary Artery Disease”, Supported by Çukurova University Research Fund

(MMF-2011YL19).

6- Mehmet Onur ŞAHLAR (2011), "Library Based Image Reconstruction on X-Ray Films for

External Fixator Automation", Supported by Çukurova University Research Fund. (MMF-

2009YL58), Technical Research Council of Turkey (TÜBİTAK 106M0466).

7- Okan ŞEN (2010), "Segmentation and Classification of Magnetic Resonance Images by

Neural Networks",

8- Gökhan ÇETİN (2010), "Artificial Neural Networks by Using the Internet Traffics on the

Internet Exit Routers (MRTG) Estimated Traffic Analysis and Planning for Future"

9- Jale BEKTAŞ (2010), "Segmentation of Brain Region of MRIs and Comparisons between

Autistic and Healthy Adolescent".

10- Ahmet AYDIN (2009), "Applications of Medical Image Processing Techniques on a

Biomechanics System", Supported by Çukurova University Research Fund. (MMF-

2008YL20) and, The Scientific and Technical Research Council of Turkey (TÜBİTAK-

106M0466) (PI: Prof. Dr. İbrahim Deniz Akçalı).

11- Emine GEZMEZ (2007), "Clustering MRI Images with Principal Component Analysis

Methods".

12- Şehy Şamil ASLAN (2006), "Computer Controlled Robot Car".

13- Gülçin YİĞİTLER (2005), “New Techniques for Classification, Enhancement, and Fusion

of Multispectral Remote Sensing Images”, Co-advisor Prof. Dr. Okan ERSOY (Purdue

Univ., USA).

14- İrem ERSÖZ (2003), “Secondary Structure Prediction of Hemoglobin by Using Combined

Neural Networks”, Supported by Çukurova University Research Fund. (FBE-2002YL328)

and The Scientific and Technical Research Council of Turkey (EEEAG-100E037) (PI:

Assist. Prof. Dr. Turgay İbrikçi).

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Supervised PhD. Theses

I. Completed Theses:

1. Jale BEKTAŞ (2017), “Use of Data Mining Techniques to Determine Presence of

Coronary Artery Disease and Deriving a Risk Score by Employing Risk Factors".

2. Esra MAHSERECİ KARABULUT (2016), “Investigation of Deep Learning Approaches

for Biomedical Data Classification”, Çukurova University Research Fund. (FDK-2015-

4395)

3. Mustafa KARABULUT (2011), "Employing Data Mining Techniques on Biological

Sequences for Transcript for Transcription Factor Binding Identification".

4. İrem ERSÖZ KAYA (2008), "Computational Prediction of Disordered Regions in

Proteins", Co-advisor Prof. Dr. Okan ERSOY (Purdue Univ., USA), Supported by

Çukurova University Research Fund. (MMF-2006D12) and, The Scientific and Technical

Research Council of Turkey (TBAG-104T505) (PI: Assist. Prof. Dr. Turgay İbrikçi).

5. Ayça ÇAKMAK PEHLİVANLI (2008), "Consensual Classification of Drug / NonDrug

Compounds for Drug Design", Co-advisor Prof. Dr. Okan ERSOY (Purdue Univ., USA),

Supported by Çukurova University Research Fund. (MMF-2006D11) and, The Scientific

and Technical Research Council of Turkey (TBAG-104T505) (PI: Assist. Prof. Dr. Turgay

İbrikçi).

II. PhD. Student:

1. Eyüp GÜRCAN (2017)

2. Fahriye GEMCİ FURAT (2017)

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PROJECTS

A. Supported by TÜBİTAK (The Scientific and Technical Research Council of Turkey)

Project Name Budget Date Position Project No

New Fixator Automation 281,000 01.12.2012/3

04.04.2016

Researcher 112M406

Fixator Automation 200,000 15.02.2007/

14.08.2010

Researcher 106M466

Application of Artificial Neural Networks in the

Prediction of Critical Buckling Loads of Helical

Compression Springs

103,130 01.09.2006/

30.09.2008

Researcher 106M307

Application of Computational and Statistical

Intelligent Methods on Determining Functions of

ordered and disordered proteins and Drug Design

38,760 01.06.2005/

30.09. 2007

PI 104T505

The Prediction of Secondary Protein Structure by

Using Support Machine Techniques

2,176 01.04.2001/

01.02. 2003

PI 100E037

B. Supported by Çukurova University Research Foundation:

Project Name Budget Date Position Project No

Processing Bioinformatics Data in the era of Big Data by

Machine Learning 12,000 04.10.2017 /

04,10,2019

PI FBA-2017-9121

Diagnosing Knee Pathology Using Surface

Electromyography SEMG and Artificial Neural

Networks

4.287 08.03.2017 /

08.03.2018

PI FYL-2017-

7864

Classification the dataset in medical care breast

cancer Using machine learning algorithms

2.800 29.08.2016/

29.08.2017

PI FYL-2016-

6805

Using Artificial Intelligence Methods Diagnosis of

Acute Ischemic Stroke Detection

5,000 01.01.2015/

30.12.2017

Researcher NigdeUnv.-

490

Investigation the structural relationships on amyloid

proteins with Bioinformatics perspective

10,000 06.11.2013/

05.11.2015

PI MMF-2013

BAP19

A Research on Performance of Decision Support

Systems in Diagnosis of Coronary Artery Disease

1,000 01.12.2011/3

0.11.2012

PI MMF-2011

YL19

Detection of Diabetic Retinopathy Complication by

Using Computational Learning Methods on Images

1,980 01.03.2011/2

8.02.2012

PI MMF-2011

YL2

Using Clustering and Classification Methods for

Predictionin Between Autistic and Normal MRI

8,000 07.04.2009/

06.07.2011

PI MMF-2009

BAP02

Automation Library Based on X-ray Identification for

External Fixator

2,000 01.10.2009/

30.09.2010

PI MMF-2009

YL58

Image Processing and Border Detection on X-ray

images

2,000 01.10.2008/

30.10.2009

PI MMF-2008

YL20

Functional Classification of Disordered and Multi-

Labeled Proteins

3,960 07.04.2006/

06.04.2007

PI MMF-2006

D12

Drug Design by Artificial Neural Networks as Data

Mining Tools

3,960 07.04.2006/

06.04.2007

PI MMF-2006

D11

Optimizing of the Required Parameters by Using

Kernel Functions of Support Vector Machine to Find

Protein Structure

3,500 01.01.2005/

31.12.2005

PI MMF-2004

BAP21

Neural Networks With Information Theory on

Secondary Structures of Protein

1,040 01.09.2002/

30.08.2003

PI FBE-2002

YL328

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The Application of Secondary Protein Structure by

Using Support Machine and Neural Networks

Techniques

1,000 01.03.2000/

28.02.2001

PI MMF-

2000/41

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INTERNATIONAL VISITS AND COLLABORATIONS

June 1-5, 2015 (Participant) Theoretical and Practical Course "High Performance and Cloud

Computing for Bioinformatics", BIOS - Centro de Bioinformática y Biología

Computacional, Colombia

June 2 – 6, 2014 (Visiting Researcher) Machine Learning & Bioinformatics Univ. of Aveiro,

Portugal, ERASMUS-LL (Contact Person: Prof. Carlos BASTOS)

Oct 21 -25, 2013 (Participant) International Center for Genetic Engineering and

Biotechnology(ICGEB) (2013), “Applications of Bioinformatics in Modern

Moleculer Biology”, ICGEB – New Delhi Component Aruna Asaf Ali Marg,

New Delhi – 110067 India.

June –Aug. 2012 Cornell University, Ithaca, NY, USA

June-Sept., 2011 (Visiting Researcher) The Department of Genetics, Institute of

Bioinformatics, Univ. of Georgia, Athens, GA, USA. (Director: Prof. Dr.

Jessica Kissinger)

Jan 18- 19, 2010 (Participant) International Center for Genetic Engineering and

Biotechnology (ICGEB) and United Nations University (BIOLAC),

“Caribbean Training Programme on Bioinformatics: Applications of

Structural and Computational Biology in Biomedical Sciences”, The

University of the West Indies, St. Augustine Campus, Trinidad and Tobago.

July 13-16, 2009 (Participant) “IPCV2009- The 2009 International Conference on Image

Processing, Computer Vision, and Pattern Recognition”, Las Vegas,

Nevada, USA

Nov. 11 -14, 2007 (Participant) ANNIE 2007, Neural Networks, Fuzzy Logic, Evolutionary

Computation, Swarm Intelligence, and Complex Systems, Systems

Engineering - Smart Engineering Systems Laboratory, University of

Missouri-Rolla, MO USA

July 14 – 18, 2007 (Visiting Researcher) Machine Learning & Bioinformatics, Univ. of Aveiro,

Portugal, ERASMUS-LLP (Contact Person: Prof. Carlos BASTOS)

May 8 -10, 2007 (Participant) European Science Foundation (2007), “ESF Mining of High-

Throughput Data in Functional Genomics”, Coleraine, Northern Ireland.

June 2004 – Sept

2004

(Visiting Researcher) Research on Brain Imaging & Bioinformatics Univ. of

Texas at Houston Center of Computational Biomedicine (Director: Prof. Dr.

Michael BRANDT)

June 2001 – July

2002

(Visiting Researcher) Research on Brain Imaging, Univ. of Texas at Houston

Center of Computational Biomedicine (Director: Prof. Dr. Michael

BRANDT)

June - Sept., 1999 (Visiting Researcher) Research on Neuronal Network and Prediction of

Protein Structure. Univ. of Florida, Computational Neural Engineering Lab.

Gainesville, FL USA. Prof. Dr. Jose C. PRINCIPE)

June - Sept., 1997 (Visiting Researcher) Research on Neuronal Network and Prediction of

Protein Structure. Univ. of Arkansas, Computer Engineering Dept.

Fayetteville, AR, USA.

Sept., 27 – Oct.7,

1996

(Participant) NATO Advance Study Institute International School of Neural

Nets “Learning in Graphical Models”, Ettore Maiorana Centre, Erice,

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ITALY (Full Support by NATO, Prof. Dr. Michael I. JORDAN)

MEMBERSHIP

2001 – 2010 IEEE Biomedical Society

2000 – 2010 IEEE 8. Region Cukurova Univ. Counselor

1995 – 2000 IEEE 8. Region Cukurova Univ. Student Chairman

1995 – 2012 IEEE Member

1995 – 2012 IEEE Computer Society

REVIEWER and REFREE

Editor

International Journal of Academic Research in Computer Engineering (Deputy Editor)

SM Journal of Biomedical Engineering (SMJBE) (Editorial Board)

Journal of Data Mining in Genomics & Proteomics (Guest Editor) Special Issue, “Algorithms

for Molecular Biology”, (Sept. 2013)

Turkish Journal of Electrical Engineering & Computer Sciences (Special issue)

Refereeing for Journals

Applied Soft Computing (2013- )

PLOS ONE (2013- )

BMC Medical Information and Decision Making (2012 -)

Journal of Medical Systems (2012 -)

Bioinformatics (2008 - 2011)

Expert Systems (2009 -)

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Turkish Journal of Biochemistry (2008 -)

Refereeing for Projects and Conferences

TÜBİTAK-Secondary Education Research Projects Competition (2014) - Mediterranean Coast

Computer Juror

TÜBİTAK-Secondary Education Research Projects Competition (2013) - Mediterranean Coast

Computer Juror

TÜBİTAK-2013-2214/2219 Bioengineering Assessment (2013) - External Consultant

TUBITAK - Turkish Journal of Electrical Engineering & Computer Sciences (Topic Editor -

Arbitration) (2010 -)

10th TÜBİTAK - 1001 Research Projects - (2011 -)

11th Science, Industry and Technology Ministry – Technical Development Projects - (2012)

14th IC-IC Sept 2008 International Conference on Intelligent Computing. 15-18, 2008

13th IC-IC Aug 2007 International Conference on Intelligent Computing. 21-24, 2007

12th IC-IC Aug 2006 International Conference on Intelligent Computing. 16-19, 2006

Symposium Duties-Turkish

1. SIU-2016 May 16-19, 2016 Zonguldak, Turkey (Conference Technical Committee)

2. SIU-2015 May 16-19, 2015 Malatya, Turkey (Conference Technical Committee)

3. SIU-2014 April 23-25, 2014 Bursa Turkey (Conference Technical Committee)

4. ELECO-2013 28 -30 November 2013, Bursa, Turkey

5. ELECO-2012 29 November-1 December 2012, Bursa, Turkey

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6. ITUSEM'2009 Cukurova University, 15-16 October 2009, (the Executive Board Member)

7. ITUSEM'2007 Cukurova University, 18-19 October 2007, (the Executive Board Member)

8. ITUSEM'2005 Cukurova University, 17-19 November 2005, (the Executive Board Member)

9. INISTA'2005 International Symposium on Innovations in Intelligent Systems and

Applications, 15 to 18 June 2005, Istanbul (Scientific Committee Member)

10. BIYOMUT'2005 National Meeting of Biomedical Engineering - Bogazici University, May

25 to 27, 2005, (Program Member)

11. TAINN'96 5 Turkish Symposium on Artificial Intelligence and Neural Networks -

Bogazici University, Istanbul, (Local Organizing Committee Member)

Awards:

Best Paper : F. G. Furat, T. İbrikci (2017), “Tumor Type Detection Using Naïve Bayes

Algorithm on Gene Expression Cancer RNA-Seq Data Set”, International Conference on

Engineering Technologies(ICENTE’17) Presenter: F.G. Furat

Best Session Paper: “E. M. Karabulut, T. Ibrikci (2016), “Texture analysis of Melanoma

Images for Computer-aided Diagnosis”, International Conference on Intelligent Computing,

Computer Science and Information Systems (ICCSIS-16). Presenter: T. Ibrikci

Excellent Oral Presentation: “JaleBektaş, T. Ibrikci (2017), “Hybrid Classification Procedure

Using SVM with LR on Two Distinctive Datasets Submission”, 2017 6th International

Conference on Software and Computer Applications Proceedings (ICSCA-2017) Presenter:

T. Ibrikci

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PUBLICATIONS

A. International Journals

1. J. Bektaş, T. Ibrikçi, I.T. Özcan (2017), “Classification of Real Imbalanced Cardiovascular

Data Using Feature Selection and Sampling Methods: A Case Study with Neural Networks and

Logistic Regression”, Int. J. on Artificial Intelligence Tools, (ISI) Vol. 26 (6)

DOI: 10.1142/S0218213017500191,

http://www.worldscientific.com/doi/abs/10.1142/S0218213017500191?src=recsys

2. Ü. Yılmaz, Ö. Türksoy, T. İbrikçi, A. Teke (2017), “Estimation of Electrical Characteristics and

Maximum Power Point of Photovoltaic Panel”, Jour. of Electrical Systems. Jun 2017, 13 (2),

p:255-265.

http://eds.a.ebscohost.com/eds/detail/detail?vid=0&sid=28ea8282-e378-4cb7-87b6-

43f0571d9dd2%40sessionmgr4010&bdata=Jmxhbmc9dHImc2l0ZT1lZHMtbGl2ZQ%3d%3d#

AN=123478421&db=a9h

3. I.E. Kaya, A.Ç. Pehlivanli, E.G. Sekizkardeş, T. Ibrikci (2017), “PCA Based Clustering for

Brain Tumor Segmentation of T1w MRI Images”,

Computer Methods and Programs in Biomedicine, (ISI), 140: 19–28

DOI:10.1016/j.cmpb.2016.11.011

http://www.sciencedirect.com/science/article/pii/S0169260716304199

4. E.M. Karabulut, T. Ibrikci (2017), “Discriminative deep belief networks for microarray based

cancer classification”. Biomedical Research, (ISI), 28 (3): 1016-1024

http://www.biomedres.info/biomedical-research/discriminative-deep-belief-networks-for-

microarray-based-cancer-classification.pdf

5. J. de Dieu Uwisengeyimana, A. Teke, T. Ibrikci (2016), "Current Overview of Renewable

Energy Resources in Rwanda", Journal of Energy and Natural Resources; 5(6): 92-97 DOI:

10.11648/j.jenr.20160506.13

http://article.sciencepublishinggroup.com/pdf/10.11648.j.jenr.20160506.13.pdf

6. J de Dieu Uwisengeyimana, NK Al_Salihy, T. Ibrikci (2016), "Statistical Performance Effect of

Feature Selection Techniques on Eye State Prediction Using EEG", International Journal of

Statistics in Medical Research, 5(3):224-230

http://lifescienceglobal.com/pms/index.php/ijsmr/article/view/4036

7. T. Ibrikci, E. M. Karabulut, J. D. Uwisengeyimana (2016), "Meta Learning on Small

Biomedical Datasets", Lecture Notes in Electrical Engineering, (376): 933-939,

DOI:10.1007/978-981-10-0557-2_89 - 7th International Conference on Information Science &

Applications (ICISA) 2016

http://link.springer.com/chapter/10.1007/978-981-10-0557-2_89

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8. E.M. Karabulut, T. Ibrikci (2014), “Analysis of Cardiotocogram Data for Fetal Distress

Determination by Decision Tree Based Adaptive Boosting Approach”, Journal of Computer and

Communications, 2: 32-37, DOI:10.4236/jcc.2014.29005

http://www.scirp.org/journal/PaperInformation.aspx?PaperID=47718

9. E.M. Karabulut, T. Ibrikci (2014), “Effective Automated Prediction of Vertebral Column

Pathologies Based on Logistic Model Tree with SMOTE Preprocessing”, Journal of Medical

Systems, (ISI); 38(5):50. DOI:10.1007/s10916-014-0050-0

http://link.springer.com/article/10.1007/s10916-014-0050-0#page-1

10. I. Ersöz Kaya, A. Çakmak Pehlivanli, and T. Ibrikci, (2014),”Enhanced Prediction of

Intrinsically Disordered Regions with the Optimized Data”, Int. Jour. of Bioscience,

Biochemistry and Bioinformatics, 4(1): 39-44 , DOI: 10.7763/IJBBB.2014.V4.307

http://www.ijbbb.org/papers/307-CB033.pdf

11. M. Karabulut, T. Ibrikci, (2014), “Identification of transcription factor binding sites using

Gaussian mixture models”, Expert Systems, (ISI), 31(1) 70-80. DOI: 10.1111/exsy.12004

http://onlinelibrary.wiley.com/doi/10.1111/exsy.12004/abstract

12. M. Karabulut, T. Ibrikci, (2012), “A Bayesian Scoring Scheme based Particle Swarm

Optimization algorithm to identify Transcription Factor Binding Sites”, Applied Soft Computing

(ISI), 12(9): 2846-2855. DOI: 10.1016/j.asoc.2012.04.006

http://www.sciencedirect.com/science/article/pii/S1568494612001809

13. C. Türeli Bilen, P.Kokcü, T. Ibrikci (2012) “Application of Artificial Neural Networks

(ANNs) for Weight Predictions of Blue Crabs (Callinectes sapidus RATHBUN, 1896) Using

Predictor Variables”, Mediterranean Marine Science, 12(2) : 439-446. (ISI).

DOI: 10.12681/mms.43

http://www.medit-mar-sc.net/index.php/marine/article/view/43

14. T. Ibrikci, D. Üstün, İ. Ersoz Kaya, (2012), “Diagnosis of Several Diseases by Using a

Novel Hybrid Kernel Support Vector Machine”, Journal of Medical Systems, 36(3) : 1831-1840.

(ISI), DOI: 10.1007/s10916-010-9642-5

http://link.springer.com/article/10.1007%2Fs10916-010-9642-5#page-1

15. A. Aydın, T. Ibrikci, İ.D. Akçalı, (2012), “A Hybrid Image Processing System for X-Ray

Images of an Eexternal Fixator”, Computer Methods in Biomechanics and Biomedical

Engineering, 15(7) : 753-759. (ISI), DOI: 10.1080/10255842.2011.560840

http://www.tandfonline.com/doi/full/10.1080/10255842.2011.560840#.U1oinK2KBnc

16. E. M. Karabulut, T. Ibrikçi, (2012) “Effective Diagnosis of Coronary Artery Disease Using

rotation Forest Ensemble Method”, Journal of Medical Systems, 36(5): 3011–3018. (ISI), DOI:

10.1007/s10916-011-9778-y

http://link.springer.com/article/10.1007%2Fs10916-011-9778-y#page-1

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17. E. M. Karabulut, S.A. Özel, T. Ibrikci, (2012), “A Comparative Study on the Effect of

Feature Selection on Classification Accuracy”, Procedia Technology 1 (2012), 323 – 327. DOI:

10.1016/j.protcy.2012.02.068

http://www.sciencedirect.com/science/article/pii/S2212017312000692

18. İ. Ersöz Kaya, T. Ibrikci, O. K Ersoy, (2011), “Prediction of Disorder with New

Computational Tool: BVDEA”, Expert Systems with Applications. 38(12): 14451-14459. (ISI),

DOI: 10.1016/j.eswa.2011.04.160

http://www.sciencedirect.com/science/article/pii/S0957417411006877

19. M. Karabulut, T. Ibrikci, (2011), “Assessment of Clustering Algorithms for Unsupervised

Transcription Factor Binding Site Discovery”, Expert Systems with Applications, 38(9) : 11160-

11166. (ISI), DOI: 10.1016/j.eswa.2011.02.161

http://www.sciencedirect.com/science/article/pii/S095741741100385X

20. A. Keskiner, T. Ibrikci, M. Çetin (2011), “Yapay Sinir Ağlarıyla Coğrafi Bilgi Sistemi

Ortamında Olasılıklı Sıcaklık Tahmini ve Karşılaştırılması”, Tarım Bilimleri Dergisi, 17 : 241-

252 (Türkçe). (ISI).

https://editor.ankara.edu.tr/index.php/tarim_bilimleri/article/view/818

21. M. Karabulut, T. Ibrikci, (2010), “A Fuzzy Self-organizing Map Algorithm for Biology

Pattern Recognition”, Expert Systems, (ISI), 29(1) 25– 38. DOI:

10.1111/j.1468-0394.2010.00560.x

http://onlinelibrary.wiley.com/doi/10.1111/j.1468-0394.2010.00560.x/abstract

22. T. Ibrikci, M. Karabulut, (2010), “Employing Fuzzy C-Means for DNA Transcription

Factor Binding Site Identification”, Journal of Circuits, Systems, and Computers, 19(1): 15-30.

(ISI), DOI: 10.1142/S0218126610005925

http://www.worldscientific.com/doi/abs/10.1142/S0218126610005925

23. T. Ibrikci, S. Sacma, V. Yıldırım, T. Koca, (2010), “Application of Artificial Neural

Networks in the Prediction of Critical Buckling Loads of Helical Compression Springs”, Journal

of Mechanical Engineering, 56 (6): 409-417. (ISI).

http://ojs.sv-jme.eu/index.php/sv-jme/article/view/117

24. I. Kaya, T. Ibrikci, A. Cakmak, (2008), “Accurate Prediction of Protein Secondary

Structure by Non-Parametric Models”. Journal of Computational Intelligence in Bioinformatics,

1: 1-11.

http://www.ripublication.com/Volume/jcibv1n1.htm

25. A. Ç. Pehlivanlı, T. Ibrikci, O. K Ersoy, (2008), “Consensual Classification of Drug and

Nondrug Compounds”, International Jour. of Computational Biology and Drug Design, 1 (3):

224-234. DOI: 10.1504/IJCBDD.2008.021416

https://inderscience.metapress.com/content/55105wjp7150t105/resource-

secured/?target=fulltext.pdf

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26. A. Ç Pehlivanlı, O. K Ersoy, T. Ibrikci, (2008), “Drug/Nondrug Classification with

Consensual Self-Organising Map and Self-Organizing Global Ranking Algorithms”,

International Jounal of Computational Biology and Drug Design, 1(4): 434-445. DOI:

10.1504/IJCBDD.2008.022212

http://inderscience.metapress.com/content/d422980j035wq572/

27. M. Karabulut, T. Ibrikci, (2008), “Fuzzy C-Means Based Motif Discovery”, Lecture Notes

in Computer Science, 5226: 207-218. (ISI) DOI: 10.1007/978-3-540-87442-3_24

http://link.springer.com/chapter/10.1007/978-3-540-87442-3_24

28. U. Orhan, M. Hekim, T. Ibrikci, (2008), “Supervised Gravitational Clustering with Bipolar

Fuzzification”, Lecture Notes in Artificial Intelligence, 5227: 667-674. (ISI) DOI: 10.1007/978-

3-540-85984-0_8

http://link.springer.com/chapter/10.1007%2F978-3-540-85984-0_80

29. U. Orhan, M. Hekim, T. Ibrikci, (2008), “Gravitational Fuzzy Clustering”, Lecture Notes in

Artificial Intelligence, 5317: 524-531. (ISI). DOI: 10.1007/978-3-540-88636-5_50

http://link.springer.com/chapter/10.1007%2F978-3-540-88636-5_50

B. International Conferences (Proceedings)

1. F. G. Furat, T. İbrikci, (2017),“Tumor Type Detection Using Naïve Bayes Algorithm on

Gene Expression Cancer RNA-Seq Data Set”, International Conference on Engineering

Technologies(ICENTE’17), December 07-09, 2017 Konya/TURKEY

2. F. G. Furat, T. İbrikci, (2017),"Classification of Down Syndrome of Mice Protein Dataset on

MongoDB using Bayesian Network",International Advanced Researches & Engineering

Congress-2017, November16-18, 2017, Osmaniye,TURKEY

3. F. G. Furat, T. İbrikci, (2017),"Application of Feed Forward Backpropagation and Cascade

Forward Backpropagation Neural Network Algorithms to Detect Pulsar Stars", International

Advanced Researches & Engineering Congress-2017, November16-18, 2017,

Osmaniye,TURKEY

4. Bektas J., İbrikçi T.,(2017) "Hybrid Classification Procedure Using SVM with LR on Two

Distinctive Datasets ", The 2017 6th International Conference on Software and Computer

Applications (ICSCA 2017), Bangkok, THAILAND, Feb. 26-28, 2017

5. Al-Salihy N.K., İbrikçi T.,(2017) "Classifying Breast Cancer by Using Decision Tree

Algorithms ", The 2017 6th International Conference on Software and Computer

Applications (ICSCA 2017), Bangkok, THAILAND, Feb.,26-28 2017, pp.1-5

6. T. İbrikçi, İ. E. Kaya, (2016), "SAA proteinlerinin yapısal özelliklerinin makina öğrenme

metotları ile ortaya konulması", 1st International Mediterranean Science&Engineering

Congress(IMSEC2016),Oct.26-28, 2016, Adana/TURKEY, pp:1001-1007

15

7. E. Özcan, M. S. Ardıç, T. İbrikçi, A. Teke(2016), "Bölgesel toplam güneş radyasyonu

tahminlerinde yapay sinir ağları ve destek vektör makineleri metotlarının kıyaslanmaları", 1st

International Mediterranean Science&Engineering Congress(IMSEC2016), Oct.26-28, 2016,

Adana/TURKEY pp:12-17

8. M. Ö. Yücekul, T. İbrikçi(2016), "Prediction of protein residue contact maps by using

supervised learning methods", 1st International Mediterranean Science&Engineering

Congress(IMSEC2016), Oct.26-28, 2016, Adana/TURKEY, pp: 3356-3363

9. İ. E. Kaya, T. İbrikçi, A.Ç. Pehlivanlı(2016), "Düzensiz proteinlerin yapı tahmininde

açıklayıcı özelliklerin etkisi", 1st International Mediterranean Science&Engineering

Congress(IMSEC2016), Oct.26-28, 2016, Adana/TURKEY, pp:4604-4612

10. E. M. Karabulut, T. Ibrikci (2016), “Texture analysis of Melanoma Images for Computer-

aided Diagnosis”, International Conference on Intelligent Computing, Computer Science and

Information Systems (ICCSIS-16), At Pattaya, Thailand, Volume: Vol. II. DOI:

10.15242/IAE.IAE 416011

http://ia-e.org/images/proceedings_pdf/IAE0416011.pdf

11. E. Karabulut, T. Ibrikci, (2015), “Emphysema Discrimination from Raw HRCT Images by

Convolutional Neural Networks”, The 9th International Conference on Electrical and

Electronics Engineering, ELECO 2015, Nov. 26-28, 2015, Bursa, Turkey.

http://ieeexplore.ieee.org/document/7394441/?arnumber=7394441&tag=1

12. İ. D. Akçalı, E. Avşar, A. Durmaz, A. Aydın, M. K. Ün, T. İbrikçi, H. Mutlu, , C. Özkan, Ö.

S. Biçer,(2015), “Singularity Detection in An External Fizator of Gough-Stewart Plotform

Type”, International Conference on Innovation Technologies, IN-TECH 2015 Oct. 09-11,

2015, Dubrovnik, Croatia.

13. İ. D. Akçalı, E. Avşar, Member, IEEE, M. K. Ün, A. Aydın, Member, IEEE, T. İbrikçi, H.

Mutlu, Ö. S. Biçer, C. Özkan, A. Durmaz (2014) “Displacement Analysis of Robotic Frames

for Reliable and Versatile Use as External Fixator”, The 4th Annual IEEE International

Conference on CYBER Technology in Automation, Control, and Intelligent Systems (IEEE-

CYBER 2014), p:180-185, June 4-7, 2014 Hong Kong, China

14. İ. D. Akçalı, M. O. Şahlar, K. Ün, A. Aydın, T. Ibrikci, R. Esen, M. Gülşen, H. Bayram, H.,

(2009), “A Mathematical Model in the Implementation of a Stewart-Gough Platform as an

External Fixator”, Medical Physics and Biomedical Engineering World Congress, IFMBE

Proceeding 25/V :708-711, 7-12 Sept. 2009, Munih, Germany.

15. İ. D. Akçalı, M. O. Şahlar, A. Aydın, T. Ibrikci, K. Ün, R. Esen, M. Gülşen, H. Bayram,

(2009), “Alignment of Bone Fragments Through the Deployment of a Stewart Platform

Mechanism”, Artificial Organs, 33(8): A99 (Abstract).

16

16. J. Bektas, T. Ibrikci (2009), “Using Threshold Techniques with K-Means Approch for MRI

Segmentation”, The 2009 International Conf. on Image Processing, Computer Vision, and

Pattern Recognition (IPCV'09), 2: 651-655, 13-16 July 2009, Las Vegas, Nevada, USA.

17. U. Orhan, I. Ersoz, T. Ibrikci(2007), “Prediction of Disordered Regions of Proteins with N-

Pieces Naive Algorithm”, Intelligent Engineering Systems Through Artificial Neural

Networks: Smart System Engineering (ANNIE'07), 17: 43-48, 11-14 Nov. 2007, St. Louis,

Missouri, USA.

18. G. Yiğitler, O. K. Ersoy, T. Ibrikci (2005), “New Transform Techniques for Enhancement

and Fusion of Multispectral and Hyperspectral Images”, ICSC Congress on Computational

Intelligence Methods and Applications (CIMA2005), 15-17 Dec. 2005, İstanbul, Türkiye.

DOI: 10.1109/CIMA.2005.1662344

19. T. Ibrikci, A. Cakmak, I. Ersoz, O. K. Ersoy(2005), “Hemoglobin Secondary Structure

Predicts with Four Kernels on Support Vector Machines”, ICSC Congress on Computational

Intelligence Methods and Applications (CIMA2005), 15-17 Dec. 2005, İstanbul, Türkiye.

DOI: 10.1109/CIMA.2005.1662310

20. T. Ibrikci, A. Çakmak, I. Ersöz, O. K. Ersoy (2005), “Support Vector Machines on

Hemoglobin Secondary Structures”, 3rd European Medical & Biological Engineering

Conference (EMBEC'05), 11(1), 20-25 Nov. 2005, Prag, Czech Republic.

21. C. Şahin, T. Ibrikci, R. Erol, (2005), “Neural Networks Approach to the Lot Sizing

Problem”, 35th International Conference on Computers and Industrial Engineering

(CIE2005), 15-19 June 2005, İstanbul, Türkiye.

22. I. Ersoz, T. Ibrikci, A. Cakmak, O. K. Ersoy, (2004), “Secondary Structure Prediction of

Hemoglobin by Neural Networks”, Intelligent Engineering Systems Through Artificial Neural

Networks: Smart System Engineering (ANNIE'04), 14: 837-842, 7-10 Nov. 2004, St. Louis,

Missouri, USA.

23. M. Brandt, J. Frederick, T. Ibrikci, L. Kramer, K. Davidson, and J. Fletcher, (2003),

“Estimation of Brain Tissue Volumes from Magnetic Resonance Scans in Spina

Bifida”, Thirty-First Annual International Neuropsychological Society Conference, Journal

of the International Neuropsychological Society, 9, 176, 5-8 Feb. 2003, Honolulu, Hawaii.

24. T. Ibrikci, M. Brandt, G.Wang, M. Açıkkar (2002), “Mahalanobis Distance with Radial

Basis Function Network on Protein Secondary Structures”, 24rd International IEEE-

Engineering in Medicine and Biology (EMBS2002), 3: 2184-2185, 23-26 Oct. 2002,

Houston, TX, USA.

25. V. Krishnamurthi, T. Ibrikci, S. Arıca (1995), “Signal of Processing and Modeling of the

Response of Crayfish Photosensitive Ganglion”, International 14th IEEE-Engineering in

Medicine and Biology (EMBS1995), 2: 74-75, 15-18 Feb. 1995, New Delhi, India.

17

26. T. Ibrikci, V. Krishnamurthi (1995), “Application of Neural Network for Home Security

System”, the Second International Conference on Artificial Neural Networks and Genetic

Algorithms (ICANNGA'95), sf: 448-451, 19-21 April 1995, Alès, France.

C. National Journals

1. A.Aydin, İ. D. Akçalı, E. Avsar, M. K. Ün, H. Mutlu, T. İbrikçi, Ömer S. Bicer, C. Özkan

and A. Durmaz (2015), Tekil Olmayan Fiksatör Otomasyonu, Ç.Ü. Journal of Faculty of

Engineering and Architecture, 30(2), 81-92. (Turkish)

2. E. Avsar, İ. D. Akcali, A. Aydin, M. K. Ün, H. Mutlu, T. İbrikçi, C. Özkan and Ö. S. Bicer

(2015), Ortopedik Uygulamalarda Bilgisayarlı Denetim Sistemi, Ç.Ü. Journal of Faculty of

Engineering and Architecture, 30(2), 93-101. (Turkish)

3. J. Bektaş, T. İbrikçi, (2013), “An MRI Study on Volumetric Changes in the Brain of Female

Adolescents with Autism”, Ç.Ü. Journal of Faculty of Engineering and Architecture, 28 (2):

27-34.

4. T. İbrikçi, O.Şen (2012), “Comparison of Nonlinear Classification on Brain MRI’s”, Ç.Ü.

Journal of Science and Engineering, 28 (3): 128-137.

5. İ.D. Akçalı, M.O. Şahlar, A. Aydın, T. Ibrikci, K. Ün, R. Esen, M. Gülşen, H. Bayram,

(2010), “Ortopedik Klinik Uygulamaları için Bir Fiksatörün Tasarımı İmalatı ve Kullanışı”,

Mühendislik ve Makina, 51 (600): 2-9. (Turkish)

6. G. Çetin, T. Ibrikci, (2010), “Internet Traffic Forecasting and Analyzing of Turkey by Using

Neural Networks”, Ç.Ü. Journal of Science and Engineering, 23(3): 187-198.

7. I. Kaya, Ersöz, T. Ibrikci, O. K Ersoy, (2008), “Prediction of Protein Disorder Regions with

Support Vector Machines”, Ç.Ü. Journal of Faculty of Engineering and Architecture, 23 (2):

257-267.

8. U. Eşme, I. Kaya, Ersöz, F. Kahraman, A. Sağbaş, T. Ibrikci, (2008), “Comparative

Modeling in Low Plasticity Burning (LPB) Process Using Back-Propagation (BPN) and

General-Regression Networks (GRNN)”, Ç.Ü. Journal of Faculty of Engineering and

Architecture, 23 (2): 1-13.

D. National Conferences (Turkish)

1. İ. D. Akçalı, E. Avşar, A. Durmaz, İ. Sağdıç, A. Aydın, M.K. Ün, H. Mutlu, T. İbrikçi, C.

Özkan, Ö. S. Biçer(2015), “Fiksatörün En Yakın Noktalar Yaklaşımıyla Tekillik Denetimi”,

Tıp Teknolojileri Ulusal Kongresi, TIPTEKNO’15, 15-18 Ekim 2015, Bodrum, Türkiye

18

2. G. Dişken, T. İbrikçi, (2015), “Mel-Frekans Kestral Katsayıları ve Dinamik Zaman Bükmesi

Yöntemi Kullanılarak Konuşma-Dışı Seslerin Tanınması- Recognition of non-speech sounds

using Mel-frequency cepstrum coefficients and dynamic time warping method”, SİU-2015,

16-19 Mayıs 2015, 48-51, Malatya, Türkiye

3. İ. Çetin Taş, T. İbrikçi, S. Arıca (2012), “Fundus Floresan Anjiografi Görüntülerinde

Diyabetik Retinopati Nedeniyle Oluşan Kanamaların Kümeleme, Sınıflama ve İyileştirme

Yöntemlerini Kullanarak Belirginleştirilmesi”, ELECO 2012, 29 Kasım-01 Aralık 2012,

Bursa, Türkiye. (Turkish)

4. E. Karabulut, T. İbrikçi (2010), “Birleştirilmiş Yapay Sinir Ağlarıyla Parkinson Hastalığı

Teşhisi”, ELECO 2010, 2-5 Aralık 2010, Bursa, Türkiye. (Turkish)

5. İ.D. Akçalı, M.O. Şahlar, A. Aydın, T. İbrikçi, K. Ün, R. Esen, M. Gülşen, H. Bayram,

(2009), “Ortopedik Klinik Uygulamalar İçin Bir Fiksatörün Tasarımı İmalatı ve Kullanılışı”,

III. Ulusal Tıbbi Cihazlar İmalatı Sanayi Kongre ve Sergisi (TİSKON 2009), 33-43, 6-7

Kasım 2009, Samsun, Türkiye. (Turkish)

6. İ.D. Akçalı, M.O. Şahlar, A. Aydın, T. İbrikçi, K. Ün, R. Esen, M. Gülşen, H. Bayram,

(2009), “Stewart Platform Mekanizmasının Konuşlandırılmasıyla Kemik Fragmanlarının

Hızlanması”, 2. Ulusal Yapay Organlar ve Destek Sistemleri Kongresi, 16, 23-26 Nisan 2009,

Antalya, Türkiye. (Turkish)

Citation Report :

1. With ISI Web of Science: 55 cited Average Citations per Item: 1.77

h-index :4

2. With Google Scholar: 173 cited h-index: 8

i10 = 4

*It is updated on 15/12/2017