Turgay IBRIKCI, PhD.

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:
Marital Status:
Personal skills:
Turkish, English
Married, two children
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 – Present
Assos. Prof. Dr.
2014 – Present
Assos. Prof. Dr.
2014 – Present
Assos. Prof. Dr.
Cukurova University, Biotechnology Research and
Application Center (Biotechnology), Adana, Turkey.
Cukurova University, Electrical and Electronics Eng.
Depart., Computer Science Subdivision, Adana,
Turkey.
Cukurova University, Computer Eng. Depart., Adana,
1
2014 – Present
Assos. Prof. Dr.
2003 – 2014
Asst. Prof. Dr.
2000 – 2014
Asst. Prof. Dr.
1993 - 2000
Lecturer &
Researcher.
Computer Analyst and
Programmer.
Computer Analyst and
Programmer.
1984 – 1988
1982- 1984
Turkey
Cukurova University, Biotechnology Research and
Application Center (Biotechnology)
Cukurova University, Computer Eng.Depart., Adana,
Turkey.
Cukurova University, Electrical and Electronics Eng.
Depart., Adana, Turkey.
Cukurova University, Electrical and Electronics Eng.
Depart., Adana, Turkey.
Elsan Computer Company Adana Turkey.
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
Supervised Master Theses
1- Mustafa Özber YÜCEKUL (2015), “Using Machine Learning Methods to Predict Protein
Contact Map”
2- İclal ÇETİN TAŞ (2012), "Depiction of Hemorrhagic Regions Caused By Diabetic
Retinopathy Images by Using Image Enhancement and Basic Classification Methods", Coadvisor Asst. Prof. Dr. Sami Arıca (Çukurova Univ), Supported by Çukurova University
Research Fund. (MMF-2011YL2)
3- 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) .
4- Mehmet Onur ŞAHLAR (2011), "Library Based Image Reconstruction on X-Ray Films for
External Fixator Automation", Supported by Çukurova University Research Fund. (MMF2009YL58) , Technical Research Council of Turkey (TÜBİTAK 106M0466).
5- Okan ŞEN (2010), "Segmentation and Classification of Magnetic Resonance Images by
Neural Networks",
2
6- Gökhan ÇETİN (2010), "Artificial Neural Networks by Using the Internet Traffics on the
Internet Exit Routers (MRTG) Estimated Traffic Analysis and Planning for Future"
7- Jale BEKTAŞ (2010), "Segmentation of Brain Region of MRIs and Comparisons between
Autistic and Healthy Adolescent".
8- Ahmet AYDIN (2009), "Applications of Medical Image Processing Techniques on a
Biomechanics System", Supported by Çukurova University Research Fund. (MMF2008YL20) and, The Scientific and Technical Research Council of Turkey (TÜBİTAK106M0466) (PI: Prof. Dr. İbrahim Deniz Akçalı).
9- Emine GEZMEZ (2007), "Clustering MRI Images with Principal Component Analysis
Methods".
10- Şehy Şamil ASLAN (2006), "Computer Controlled Robot Car".
11- Gülçin YİĞİTLER (2005), “New Techniques for Classification, Enhancement, and Fusion
of Multispectral Remote Sensing Images”, Co-advisor Prof. Dr. Okan ERSOY (Purdue
Univ., USA).
12- 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).
Supervised PhD. Thesises
I. Completed Theses:
1.
Mustafa KARABULUT (2011), "Employing Data Mining Techniques on Biological
Sequences for Transcript for Transcription Factor Binding Identification".
2.
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).
3.
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. Students:
3
1- Jale BEKTAŞ (2013- ), “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 (2014 - ) “Investigation of Deep Learning
Approaches for Biomedical Data Classification”
4
PROJECTS
A. Supported by TÜBİTAK (The Scientific and Technical Research Council of Turkey)
Project Name
New Fixator Automation
Budget
281,000
Date
01.12.2012/3
0.11.2015
15.02.2007/
14.08.2010
01.09.2006/
30.09.2008
Position
Researcher
ProjectNo
112M406
Fixator Automation
200,000
Researcher
106M466
Application of Artificial Neural Networks in the
Prediction of Critical Buckling Loads of Helical
Compression Springs
Application of Computational and Statistical
Intelligent Methods on Determining Functions of
ordered and disordered proteins and Drug Design
The Prediction of Secondary Protein Structure by
Using Support Machine Techniques
103,130
Researcher
106M307
38,760
01.06.2005/
30.09. 2007
PI
104T505
2,176
01.04.2001/
01.02. 2003
PI
100E037
B. Supported by Çukurova University Research Foundation:
Project Name
Investigation the structural relationships on
amyloid proteins with Bioinformatics perspective
A Research on Performance of Decision Support
Systems in Diagnosis of Coronary Artery Disease
Detection of Diabetic Retinopathy Complication by
Using Computational Learning Methods on Images
Using Clustering and Classification Methods for
Predictionin Between Autistic and Normal MRI
Automation Library Based on X-ray Identification
for External Fixator
Image Processing and Border Detection on X-ray
images
Functional Classification of Disordered and MultiLabeled Proteins
Budget
10,000
Date
06.11.2013/0
5.11.2015
01.12.2011/3
0.11.2012
01.03.2011/2
8.02.2012
07.04.2009/
06.07.2011
01.10.2009/
30.09.2010
01.10.2008/
30.10.2009
07.04.2006/
06.04.2007
Position
PI
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
The Application of Secondary Protein Structure by
Using Support Machine and Neural Networks
Techniques
1,040
01.09.2002/
30.08.2003
01.03.2000/
28.02.2001
PI
FBE-2002
YL328
MMF2000/41
1,000
1,980
8,000
2,000
2,000
3,960
1,000
5
PI
PI
PI
PI
PI
PI
PI
Project No
MMF-2013
BAP19
MMF-2011
YL19
MMF-2011
YL2
MMF-2009
BAP02
MMF-2009
YL58
MMF-2008
YL20
MMF-2006
D12
INTERNATIONAL VISITS AND COLLABORATIONS
June 2 – 6, 2014
Oct 21 -25, 2013
June –Aug. 2012
June-Sept., 2011
Jan 18- 19, 2010
July 13-16, 2009
(Visiting Researcher) Machine Learning & Bioinformatics Univ. of Aveiro,
Portugal, ERASMUS-LL (Contact Person: Prof. Carlos BASTOS)
(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.
Cornell University, Ithaca, NY, USA
(Visiting Researcher) The Department of Genetics, Institute of
Bioinformatics, Univ. of Georgia, Athens, GA, USA. (Director: Prof. Dr.
Jessica Kissinger)
(Participant) International
Center for Genetic Engineering and
Biotechnology (ICGEB) ve 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.
(Participant) “IPCV2009- The 2009 International Conference on Image
Processing, Computer Vision, and Pattern Recognition”, Las Vegas,
Nevada, USA
(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)
(Participant) European Science Foundation (2007), “ESF Mining of HighMay 8 -10, 2007
Throughput Data in Functional Genomics”, Coleraine, Northern Ireland.
June 2004 – Sept (Visiting Researcher) Research on Brain Imaging & Bioinformatics Univ. of
Texas at Houston Center of Computational Biomedicine (Director: Prof. Dr.
2004
Michael BRANDT)
June 2001 – July (Visiting Researcher) Research on Brain Imaging, Univ. of Texas at Houston
Center of Computational Biomedicine (Director: Prof. Dr. Michael
2002
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, (Participant) NATO Advance Study Institute International School of Neural
Nets “Learning in Graphical Models”, Ettore Maiorana Centre, Erice,
1996
ITALY (Full Support by NATO, Prof. Dr. Michael I. JORDAN)
Nov. 11 -14, 2007
6
MEMBERSHIP
2001 – 2010
2000 – 2010
1995 – 2000
1995 – Present
1995 – Present
IEEE Biomedical Society
IEEE 8. Region Cukurova Univ. Counselor
IEEE 8. Region Cukurova Univ. Student Chairman
IEEE Member
IEEE Computer Society
REVIEWER and REFREE
Journals
 Guest Editor-OMICS Publishing Group - Journal of Data Mining in Genomics & Proteomics
 Open Access, Special Issue, Title: Algorithms for Molecular Biology, (Sept. 2013)
 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 -)
 Turkish Journal of Biochemistry (2008 -)
Refereeing
 TÜBİTAK-Secondary Education Research Projects Competition (2014) - Mediterranean Coast
Computer Juror
 TÜBİTAK-Secondary Education Research Projects Competition (2013) - Mediterranean Coast
Computer Juror
7
 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
1. SIU-2014 April 23-25, 2014 Bursa Turkey
2. ELECO-2013 28 -30 November 2013, Bursa, Turkey
3. ELECO-2012 29 November-1 December 2012, Bursa, Turkey
4. ITUSEM'2009 Cukurova University, 15-16 October 2009, the Executive Board Member
5. ITUSEM'2007 Cukurova University, 18-19 October 2007, the Executive Board Member
6. ITUSEM'2005 Cukurova University, 17-19 November 2005, the Executive Board Member
7. INISTA'2005 International Symposium on Innovations in Intelligent Systems and
Applications, 15 to 18 June 2005, Istanbul Scientific Committee Member
8. BIYOMUT'2005 National Meeting of Biomedical Engineering - Bogazici University, May
25 to 27, 2005, Program Member
8
9. TAINN'96 5 Turkish Symposium on Artificial Intelligence and Neural Networks Bogazici University, Istanbul, Local Organizing Committee Member
Teaching – BS and Graduate Courses
1. EEE-117 Computer Programming
2. INF-101 Fundamentals of Information Technology
3. EEE-425 Programming Languages
4. EEE-448 Computer Networks
5. BIL-438 Computational Biology
6. BIL-429 Human-Computer Interactions
7. BIL-252 Operating Systems
8. BIL-304 Software Engineering
9. EE-587 Artificial Intelligent
10. EE-589 Introduction to Neural Networks
11. EE 588 Advanced Topics in Neural Networks
9
PUBLICATIONS
A. International Journals
1.
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
2.
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
3.
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
4.
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
5.
M. Karabulut, T. Ibrikci (2012), “A Bayesian Scoring Scheme based Particle Swarm
Optimization algorithm to identify Transcription Factor Binding Sites”, Applied Soft
Computing, 12(9): 2846-2855. (ISI), DOI: 10.1016/j.asoc.2012.04.006
http://www.sciencedirect.com/science/article/pii/S1568494612001809
6.
M. Karabulut, T. Ibrikci (2012), “A Fuzzy Self-organizing Map Algorithm for Biology Pattern
Recognition”, Expert Systems, 29(1) 25– 38. (ISI), DOI: 10.1111/j.468-0394.2010.00560.x
http://onlinelibrary.wiley.com/doi/10.1111/j.1468-0394.2010.00560.x/abstract
7.
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
8.
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
9.
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
10
http://link.springer.com/article/10.1007%2Fs10916-011-9778-y#page-1
10. E. M. Karabulut, S.A. Özel, T. Ibrikci (2011), “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
11. 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
12. 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
13. A. Keskiner, T. Ibrikci, M. Çetin (2011), “Yapay Sinir Ağlarıyla Coğrafi Bilgi Sistemi
Ortamında Olasılıklı Sıcaklık Tahmini ve Karşılaştırılması”, Tarım Bilimleri Dergisi, 17 : 241252 (Turkish). (ISI).
https://editor.ankara.edu.tr/index.php/tarim_bilimleri/article/view/818
14. C. Türeli Bilen, P.Kokcü, T. Ibrikci (2011) “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).
http://www.medit-mar-sc.net/index.php/marine/article/view/43
15. 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
16. 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
17. 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
18. 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/resourcesecured/?target=fulltext.pdf
11
19. 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/
20. M. Karabulut, T. Ibrikci, (2008), “Fuzzy C-Means Based Motif Discovery”, Lecture Notes in
Computer Science, 5226: 207-218. DOI: 10.1007/978-3-540-87442-3_24
http://link.springer.com/chapter/10.1007/978-3-540-87442-3_24
21. U. Orhan, M. Hekim, T. Ibrikci (2008), “Supervised Gravitational Clustering with Bipolar
Fuzzification”, Lecture Notes in Artificial Intelligence, 5227: 667-674. DOI: 10.1007/978-3540-85984-0_8
http://link.springer.com/chapter/10.1007%2F978-3-540-85984-0_80
22. U. Orhan, M. Hekim, T. Ibrikci (2008), “Gravitational Fuzzy Clustering”, Lecture Notes in
Artificial Intelligence, 5317: 524-531. 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.
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 (IEEECYBER 2014),p:180-185, June 4-7, 2014 Hong Kong, China
2.
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.
3.
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).
4.
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.
5.
U. Orhan, I. Ersoz, T. Ibrikci(2007), “Prediction of Disordered Regions of Proteins with NPieces 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.
12
6.
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
7.
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
8.
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.
9.
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.
10. 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.
11. 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.
12. T. Ibrikci, M. Brandt, G.Wang, M. Açıkkar (2002), “Mahalanobis Distance with Radial
Basis Function Network on Protein Secondary Structures”, 24rd International IEEEEngineering in Medicine and Biology (EMBS2002), 3: 2184-2185, 23-26 Oct. 2002,
Houston, TX, USA.
13. 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.
14. 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.
13
C. National Journals
1.
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.
2.
T. İbrikçi, O.Şen (2012), “Comparison of Nonlinear Classification on Brain MRI’s”, Ç.Ü.
Journal of Science and Engineering, 28 (3): 128-137.
3.
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)
4.
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.
5.
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.
6.
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. 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)
2.
E. Karabulut, T. İbrikçi (2010), “Birleştirilmiş Yapay Sinir Ağlarıyla Parkinson Hastalığı
Teşhisi”, ELECO 2010, 2-5 Aralık 2010, Bursa, Türkiye. (Turkish)
3.
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)
4.
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)
14
Citation Report :
1. With ISI Web of Science 24 cited
http://apps.webofknowledge.com/summary.do?product=UA&parentProduct=UA&sea
rch_mode=CitationReport&parentQid=1&qid=2&SID=Q1Gteu6zwuceksSvt6N&&up
date_back2search_link_param=yes&page=3
Average Citations per Item : 1.00
h-index :3
2. With Google Scholar 75 cited
http://scholar.google.com.tr/citations?hl=tr&user=ZsoLPsgAAAAJ&view_op=list_wo
rks&gmla=AJsN-F61Thz7cfrGPGJmtPWPTMOKiSrXII8CSqsIZe5mCoMSOpj921wVTixAPzB1VG228YDd
31hJeAn6tET_EPCaWZp4MIFCMsEW9J4eTlhaAfGbeNIbVw
h-index : 5
i10 = 1
*It is updated on 30/01/2015
15