1
Turgay IBRIKCI, PhD.
Cukurova University
Electrical and Electronics Engineering Department
Adana, 01330, TURKEY
Tel: +90 (322) 338 6868 ext 139 (work)
e-mail: [email protected], [email protected]
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).
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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