Turgay IBRIKCI, PhD. Cukurova University

Turgay IBRIKCI, PhD. Cukurova University

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 solve problems, excellent computer skills and data
analysis supervises others, work and manage in culturally diverse
environment.
EDUCATION
PhD. Jan 1994 – Jan 2000 Cukurova University, Electrical and
Electronics Engineering Department, Computer Science, 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. Cukurova University, Electrical and Electronics Eng.
Depart., Adana, Turkey.
2014 – Present
Assos. Prof. Dr. Cukurova University, Computer Eng. Depart., Adana,
Turkey.
2003 – 2014
Ass. Prof. Dr. Cukurova University, Computer Engineering Department,
Adana, Turkey.
2000 – 2014
Ass. Prof. Dr. Cukurova University, Electrical and Electronics
Engineering Department, Adana, Turkey.
1993 - 2000
Lecturer & Researcher. Cukurova University, Electrical and
Electronics Engineering Department, Adana, Turkey.
1984 – 1988
Senior Computer Analyst and Programmer. Elsan Computer Company
Adana Turkey. Developed the new programs for tax
collection agencies and construction companies.
1982- 1984
Computer Analyst and Programmer. Cukurova University, Computer
Center, Adana, Turkey. Developed a new billing
system for City of Adana Utility Services.
RESEARCH INTERESTS
Computational Biology
Protein Structures, Motifs
Neural Networks :
Creating new algorithms for computational learning
Pattern Recognition :
Brain Imaging and Activities.
Software Engineering
Numerical Programming and Computing with C/C++, C#, MATLAB
Supervised Master Theses
1- 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)
2- 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) .
3- 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).
4- Okan ŞEN (2010), "Segmentation and Classification of Magnetic Resonance Images by
Neural Networks",
5- Gökhan ÇETİN (2010), "Artificial Neural Networks by Using the Internet Traffics on the
Internet Exit Routers (MRTG) Estimated Traffic Analysis and Planning for Future"
6- Jale BEKTAŞ (2010), "Segmentation of Brain Region of MRIs and Comparisons between
Autistic and Healthy Adolescent".
7- 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).
8- Emine GEZMEZ (2007), "Clustering MRI Images with Principal Component Analysis
Methods".
9- Şehy Şamil ASLAN (2006), "Computer Controlled Robot Car".
10- 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).
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) .
Supervised PhD. Theses
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:
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".
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
Dutie
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
2.1760
01.04.2001/
01.02. 2003
PI
100E037
B. Supported by Çukurova University Research Foundation:
Project Name
Amiloid Proteinler Arasındaki Yapısal İlişkilerin
Biyoinformatik Yönünden İncelenmesi
Smartphone Based Pigmented Skin Lesion
Checking and Melanoma Diagnosis System
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
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
5,940
1,000
1.980
8.000
2.000
2.000
3.960
1.000
Date
06.11.2013/0
5.11.2015
01.09.2012/3
0.01.2014
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
Dutie
PI
PI
PI
PI
PI
PI
PI
PI
PI
Project NO
MMF-2013
BAP19
MMF-2012
D15
MMF-2011
YL19
MMF-2011
YL2
MMF-2009
BAP02
MMF-2009
YL58
MMF-2008
YL20
MMF-2006
D12
INTERNATIONAL VISITS AND COLLABORATION
Oct ,21 -25 2013
June – August 2012
(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, (Full Support).
Cornell University, Ithaca, NY, USA
June-September 2011 (Visiting Researcher)
Studies on Genetics of Malaria,
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) 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, (Full Support).
May 8 -10 2007
(Participant) European Science Foundation (2007), “ESF Mining of HighThroughput Data in Functional Genomics”, Coleraine, Northern
Ireland, 8-10 Mayıs 2007, (European Sci. Foundation).
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, ITALY (Full Support by NATO, Prof. Dr. Michael I.
JORDAN)
MEMBERSHIP
1995 – Present
1995 – Present
1995 – 2000
2000 – Present
2001 – Present
IEEE Member
IEEE Computer Society
IEEE 8. Region Cukurova Univ. Student Chairman
IEEE 8. Region Cukurova Univ. Counselor
IEEE Biomedical Society
PROJECTS in SCIENTIFIC JOURNALS and REFEREEING
 Guest Editor-OMICS Publishing Group - Journal of Data Mining in Genomics &
Proteomics Open Access, Special Issue, Title: Algorithms for Molecular Biology, (Sept.
2013)
 BMC Medical Informations and Decision Making (2012 -)
Journal of Medical Systems (2012 -)
 TUBITAK - Turkish Journal of Electrical Engineering & Computer Sciences (Topic Editor
- Arbitration) (2010 -)
 Expert Systems (2009 -)
 Turkey Journal of Biochemistry (2008 -)
 Bioinformatics (2008 - 2011)
 TÜBİTAK-Secondary Education Research Projects Competition (2014) - Mediterranean
Coast Computer Juror
 TÜBİTAK-2013-2214/2219 Bioengineering Assessment (2013) - External Consultant
 TÜBİTAK-Secondary Education Research Projects Competition (2013) - Mediterranean
Coast Computer Juror
 10th TÜBİTAK - 1001 Research Projects - (2011 -)
 11th Science, Industry and Technology Ministry - Teknogirişim Projects - (2012)
 12th 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
 14th IC-IC Aug 2006 International Conference on Intelligent Computing. 16-19, 2006
Duties Symposium
1. SIU-2014 April 23-25, 2014 Bursa Turkey
2. ELECO-2013 28 -30 November 2013, Bursa, official
3. ELECO-2012 29 November-1 December 2012, Bursa, official
4. ITUSEM'2009 University, Member of the Executive Board
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
9. TAINN'96 5 Turkish Symposium on Artificial Intelligence and Neural Networks Bogazici University, Istanbul, Local Organizing Committee Member
PUBLICATIONS
1.
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
2.
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
3.
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
4.
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
5.
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
6.
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
7.
E. M. Karabulut, T. Ibrikci, (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
8.
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
9.
İ. Ersöz Kaya, T. Ibrikci, O. K Ersoy, (2011), “Prediction of Disorder with New
Computational Tool: BVDEA”, Expert Systems with Applications. 38(12): 1445114459. (ISI), DOI: 10.1016/j.eswa.2011.04.160
10.
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
11.
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).
12.
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).
13.
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
14.
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).
15.
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.
16.
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
17.
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
18.
M. Karabulut, T. Ibrikci, (2008), “Fuzzy C-Means Based Motif Discovery”,
Lecture Notes in Computer Science, 5226: 207-218. DOI: 10.1007/978-3-54087442-3_24
19.
U. Orhan, M. Hekim, T. Ibrikci, (2008), “Supervised Gravitational Clustering with
Bipolar Fuzzification”, Lecture Notes in Artificial Intelligence, 5227: 667-674. DOI:
10.1007/978-3-540-85984-0_8
20.
U. Orhan, M. Hekim, T. Ibrikci, (2008), “Gravitational Fuzzy Clustering”, Lecture
Notes in Artificial Intelligence, 5317: 524-531. DOI: 10.1007/978-3-540-886365_50
B. International Conferences (Proceedings) :
1.
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, Almanya.
2.
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 (Özetçe).
3.
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, ABD.
4.
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, ABD.
5.
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
6.
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
7.
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, Çek Cumhuriyeti.
8.
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.
9.
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, ABD.
10. 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.
11. 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, ABD.
12. 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, Hindistan.
13. 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, Fransa.
D. 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 Classication 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 Analizing 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), “Comprative
Modelling 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.
E. 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.
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.
It is updated on 03/24/2014