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Süreyya Özöğür-Akyüz

  • Head of Mathematics Department
  • Bahçeşehir University

Bio

Süreyya Özöğür-Akyüz received the B.S. degree in mathematics from Middle East Technical University, Ankara, Turkey, in 2002 and the Ph.D. degree from the Institute of Applied Mathematics, Middle East Technical University, in 2009. She has been working with the Department of Mathematics, Bahçeşehir University since 2009. She contributed many multidisciplinary applications of Machine Learning such as bioinformatics, finance, business analytics but also involved in theoretical machine learning from optimization perspective. Her research interests include machine learning, optimization, neuroscience, biomedical applications, and bioinformatics.

Academic Positions

  • Present 2018

    Head of Mathematics Department

    Bahçesehir University, Faculty of Engineering and Natural Science/Department of Mathematics

  • Present 2017

    Associate Professor

    Bahçesehir University, Faculty of Engineering and Natural Science/Department of Mathematics

  • 2017 2015

    Assistant Professor

    Bahçesehir University, Faculty of Engineering and Natural Science/Department of Biomedical Engineering

  • 2015 2013

    Assistant Professor

    Bahçesehir University, Faculty of Engineering and Natural Science/Department of Mathematics and Computer

  • 2013 2011

    Research Fellow

    University of Surrey, Faculty of Engineering Science, Centre For Vision Statistical and Signal Processing (CVSSP), Surrey, UK

  • 2010 2010

    Visiting Scientist

    Fraunhoufer Institiute SCAI, Bioinformatics Bonn, Germany

  • 2011 2009

    Assistant Prof.

    Bahçesehir University, Faculty of Science and Letters/Department of Mathematics and Computer

  • 2009 2007

    Research Fellow

    Sabancı University, Faculty of - Department of Engineering and Natural Science/Electronic Engineering (Vision and Pattern Analysis LAB)

  • 2002 2007

    Research Assistant

    Middle East Technical University, Institute of Applied Mathematics

  • 2007 2006

    Research Fellow

    University College London, Computer Science, Supervised by John Shawe-Taylor (during PhD)

Education & Training

  • Ph.D. 2009

    Ph.D. Applied Mathematics/ Scientific Computation

    Middle East Technical University

  • Msc 2005

    Applied Mathematics/ Scientific Computation

    Middle East Technical University

    Msc Thesis

    “Mathematical Modeling of Enzymatic Reactions, Simulation and Parameter Estimation”

    Supervisors

    Prof. Dr. Bülent Karasözen, Prof. Dr. Gerhard Wilhelm Weber

  • Bachelor2002

    Bachelor of Arts in Mathematics

    Middle East Technical University

    PhD Thesis

    A Mathematical Contribution of Statistical Learning And Continuous Optimization Using Infinite And Semi-Infinite Programming To Computational Statistics

    Supervisors

    Prof. Dr. Gerhard Wilhelm Weber (METU, TR), Prof. Dr. John Shawe-Taylor (UCL, UK)

Honors, Awards and Grants

  • 2011
    7. Marie Curie Intra European Fellowship, EU7th Framework
    Project “OPTDIVA” held in University of Surrey, UK.
  • 2011
    6. Microsoft Imagine Cup Grants 2011
    In Software category, students: Unal Akyuz, Gizem Akturk, Onur Yazici, Okan Kilic, mentored by Süreyya Özöğür-Akyüz.
  • 2010
    PhD Dissertation Award
    In the shortlist of among three finalist of EURO 24th International Conference on Operational Research.
  • 2010
    3. Microsoft Imagine Cup
    In Software category, became third in Turkey finals, students: Ünal Akyüz, Gizem Aktürk, Onur Yazici, Okan Kiliç, mentored by Süreyya Özöğür-Akyüz.
  • 2010
    DAAD Scholarship(German Academic Exchange Service)
    Funding for collaboration of scientific visit to Fraunhofer Institutei Dept. of Bioinformatics, SCAI in Bonn, Germany with Prof. Martin Hofmann Apitius.
  • 2006
    PASCAL Funding
    Collaboration of scientific visit to University College London (UCL), UK, Department of Computer Science, with Prof. John Shawe-Taylor.

Research Summary

Interests


Computational Statistics, Machine Learning, Deep Learning, Numerical Optimization, Semi-infinite Optimization, Facial Expression Classification, Ensemble Pruning, Kernel Learning, Ensemble Classification Ensemble Clustering, Computational Biology.

Thesis Supervised

Current MSc Students

  • Deniz Sedar Suna Data mining and Machine Learning for Forecasting sales price and order fulfillment ratio in Steel Pipe Production Industry, Bahcesehir University, Industrial Engineering.
  • Aymane Benkhaldoun Stock Market Prediction using Sentiment Analysis and Deep Learning,Bahcesehir University, Big Data Analytics.
  • Omar Bashar Ghanım Aljarrah, Machine learning-based Data classification for IoT, Bahcesehir University, Information Technologies.

Current PhD Students

  • Duygu Üçüncü (2018-ongoing) Convergence Analysis of NonConvex Optimization models in Machine Learning, Yıldız Technical University, Department of Mathematics (co-supervisor).
  • Muhammad Ammar Ali (2018- ongoing) Developing a Machine Learning Algorithm to Predict Weight Gain of Obesity Disease Through EEG Recording, Bahçeşehir University, Computer Engineering.
  • Ceylan Demir (2019- ongoing) Developing Fuzzy and Sparse Models for Deep Learning Architectures, Bahcesehir University, Computer Engineering.
  • Buse Çisil Otar (2020 – ongoing) Autoselection of Deep Learning Architecture by Second Order Conic Sparse Models, Bahcesehir University, Industrial Engineering.

Past Alumni

  • Gülnur Şahin (2012) Maximum Margin Multiple Kernel Clustering By Semi – Infinite Programming, Bahçeşehir University, Department of Mathematics.
  • İrem Karaduman (2012) Reconstruction of Signalling Pathways by Novel Graph Theoretical Approach, Bahcesehir University, Department of Mathematics.
  • Deniz Topuz (2014) Topics in Machine Learning and Data Mining, Bahçeşehir University, Department of Mathematics (PhD Candidate at Koc University).
  • Buse Çisil Otar (2018) Ensemble Pruning by DC Programming, Bahçesehir University, Industrial Engineering (PhD Candidate at Bahçeşehir University).
  • Büşra Ekşi (2019) Classifıcation of EEG Signals for a Given Creativity Task Using Machine Learning Techniques, Computer Engineering (Vice IT Inspector at Albaraka Banking Group).
  • Ceylan Demir (2019) Ensemble Based Feature Selection with Hybrid Model, ITU Mathematics Engineering, (Business Analyst at IBTECH A.S.).
  • Koray Yılmaz (2020) Sales Prediction in the Fast-Food Sector Using Time Series Data, Bahçeşehir Üniversity, Computer Engineering (at Boğaziçi University).
  • Ender Akpınar (2020) Support Vector Boosting, A Large Scale Parallel SVM Approximation, Bahçeşehir University, Computer Engineering (PhD Candidate at Sabancı University).
  • Pınar Karadayı Ataş (2020) Ensemble Pruning Using Optimization Modeling, Bahçeşehir University, Computer Engineering (instructor at Istanbul Arel University).

Research Projects

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    TUBITAK 1001 - Research and Development Project (01/03/2019 - 01/09 2022)

    Pruning the Layers of Deep Neural Networks with Sparse Second Order Conic Programming

    Principal Investigator:

    Assoc. Prof. Dr. Süreyya Akyüz

    Researchers:

    Prof. Dr. Gözde Ünal (ITU)

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    TUBITAK 1001 - Research and Development Project (01/06/2018 – 31/12/2020)

    Predicting the Diet Treatment of Obesity Disease Through Brain Electric Ativity Alterations by Developing an Artificial Intelligence Algorithm

    Principal Investigator:

    Assoc. Prof. Dr. Süreyya Akyüz

    Researchers:

    Prof. Dr. Zümray Dokur Ölmez (ITU)

    Dr. Adil Deniz Duru

    Consultants:

    Prof. Dr. Nerses Bebek (neurology, Istanbul University, Head of Neurology Dept)

    Dr. Can Ergün ( Head of Nurtition and Dietetics Dept BAU)

    Gizem Yılmaz (Neuro-physcology)

  • image

    TUBITAK 3501 Career Development Project (2017-2019)

    Ensemble Clustering Selection by Optimization of Accuracy-Diversity Trade off

    Principal Investigator:

    Assoc. Prof. Dr. Süreyya Akyüz

    Researchers:

    Pınar Karadayı Ataş (PhD Student)

    Buse Otar (MSc. Student)-Past Alumni

    Zeynep Ergin (Bsc )

    Hayriye Anıl (Bsc)

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    Ongoing Researches with Audencia Business School (Nantes, France)(2018 - )

    Customer Analytics, Big Data Analytics for Marketing: the search for methods to improve analytical Customer Relationship Management efforts, including (but not limited to) predictive methods and data mining in function of customer scoring and personalization of communicationAudencia Business School (Nantes, France).

    Researchers:

    Assoc. Prof. Dr. Süreyya Akyüz

    Assoc. Prof. Dr. Koen De Bock

    Pınar Karadayı Ataş (PhD Student)

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    Ongoing Researches with EU Poznan University of Technology(2018 - )

    Optimality Conditions for Non Convex Optimization Models in Machine Learning Problems, Quadratic Sparse Problems in ML

    Researchers:

    Prof. Gerhard Wilhelm Weber

    Assoc. Prof. Dr. Süreyya Akyüz

    Assoc. Prof. Erdal Gül (Yıldız Technical University)

    Duygu Üçüncü PhD cand at Yıldız Technical University)

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    EU7 SICA Collaborative Project (small or medium-scaled focused research project) with focus on Eastern Europe and Central Asia(2010-2014)

    New Algorithms for Host Pathogen Systems Biology / Bioinformatics

    Project Partners :

    University of Heidelberg (UHEI), Germany

    University Hospital Heidelberg (UKL-HD), Germany

    Institute Natiol de la Sante et de la Recherche Medicale (INSERM), France

    Institute of Cytology and Genetics of the Siberian Branch of the

    Russian Academy of Sciences (ICG), Russia

    St. Petersburg State Polytechnical University (SPBSPU), Russia

    Middle East Technical University (METU), Turkey

    Bahcesehir University (BU), Turkey- yürütücü S. Özöğür-Akyüz

    PBSoft LLC (PBSOFT), Russia

    NovaMechanics Ltd. (NovaMechanics), Cyprus

    ORT Braude College (OBD), Israel

    University of Technology Dresden (TUD), Germany

  • image

    EU7 Marie Curie Intra European Fellowship(2011-2013)

    Mathematical Modelling of Ensemble Classifier Systems Via Optimization of Divergence-Accuracy Trade off / Optimization

    Position in the Project: Scholar (Postdoc)

    Project Subject/Area: Mathematical Modelling of Ensemble Classifier Systems Via Optimization of Divergence-Accuracy Trade off / Optimization

    Funding Organization: European Union 7th Framework

    University/Country where the project is carried out: University of Surrey, Surrey,UK

    Principal Investigator: Dr. Terry Windeatt, University of Surrey, England

    Duration of the Project: 2011 March- 2013 March

    Total Budget of Project: 183.000 Euro

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    SPICE(2007-2008)

    Fraud Detection by data mining and machine learning techniques and optimization

    Position in the Project: Research Fellow, supervised by Prof. Dr. Aytül Erçil

    Project Subject/Area: Fraud Detection by data mining and machine learning techniques and optimization

    Funding Organization: EU 6th Network of Excellence

    University/Country where the project is carried out: Computer Vision and Pattern Analysis Lab (VPA lab), Electrics and Electronics Department, Faculty of Engineering Science and Natural Science, Sabancı University, Istanbul, Turkey.

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Maximum Margin Multiple Kernel Clustering By Semi - Infinite Programming, Bahçeşehir University

Gülnur Şahin ,S. Özöğür -Akyüz
Master Thesis Bahçeşehir University

Reconstruction of Signalling Pathways by Novel Graph Theoretical Approach

İrem Karaduman ,S. Özöğür -Akyüz
Master Thesis Bahçeşehir University

Topics in Machine Learning and Data Mining

Deniz Topuz ,S. Özöğür -Akyüz
Master Thesis Bahçeşehir University

Ensemble Pruning by DC Programming

Buse Çisil Otar ,S. Özöğür -Akyüz
Master Thesis Bahçeşehir University

An Optimization Model for Ensemble Feature Selection with Accuracy Diversity Trade-Off

Pınar Karadayı Ataş ,S. Özöğür -Akyüz
PhD Thesis Bahçeşehir University

Developing a Machine Learning Algorithm to Predict Weight Gain of Obesity Disease Through EEG Recording

Muhammad Ammar Ali ,S. Özöğür -Akyüz
PhD Thesis Bahçeşehir University

Guldogus, B., N. Abdullah, A. Muhammad Ammar and A. Sureyya,
Journal Paper Preprint submitted to Computers & Operations Research July 27, 2022

Serum Copper and Zinc Status in Obstructive Sleep Apnea Patients

Akyüz, A, T. Yurdun, Z. Pelin and O. Ercan,
Journal Paper European Sleep Research Society September 2006 - Vol. 15 Issue s1 Page v-281. (Abstract Published in Refereed Journal)

Optimization of gene-environment networks in the presence of errors and uncertainty with Chebychev approximation

G.-W. Weber, P. Taylan, Z. Alparslan-Gök, S. Özöğür-Akyüz and B. Akteke-Öztürk
Journal Paper the Operational Research journal of SEIO (Spanish Statistics and Operations Research Society) 16, 2 (2008) 284-318

Pattern Analysis for the Prediction of Eukoryatic Pro-peptide Cleavage Sites

S. Özöğür,J. Shawe-Taylor, G.-W. Weber and Z.B. Ögel
Journal Paper Discrete Applied Mathematics (DAM), Volume 157, Issue 10, 28 May 2009, pp. 2388-2394.

A review on data mining and continuous optimization applications in computational biology and medicine

G.-W. Weber, S. Özöğür -Akyüz and E. Kropat
Journal Paper in Embryo Today, Birth Defects Research (Part C) 87 (2009) pp.165-181

Infinite Kernel Learning via infinite and semi-infinite programming

S. Özöğür-Akyüz, G.-W. Weber
Journal Paper in the special issue of OMS (Optimization Methods and Software), Volume 25 Issue 6, pp. 937-970, 2010

On Numerical Optimization theory of Infinite Kernel Learning

S. Özöğür-Akyüz, G.-W. Weber
Journal Paper Journal of Global Optimization, 48, Issue 2 (2010), Page 215 -239, 2010.

Selection of Representative SNP Sets for Genome-Wide Association Studies: A Metaheuristic Approach

G. Üstünkar,S. Özöğür-Akyüz, G.-W. Weber, Y. Aydın Son, C. M, Friedrich
Journal Paper Optimization Letters, 6, pp: 1207–1218, 2012

Serum Copper And Zinc Status In Obstructive Sleep Apnea Patients

Akyüz A, Karsli Ceppioğlu S, Yurdun T, Pelin Z, Akyüz S.
Journal Paper JTurk J Pharm Sci 2013;10:415-424.

Pruning of Error Correcting Output Code by Optimization of Accuracy-Diversity Trade off

Özöğür-Akyüz,S, Windeatt, T., Smith, R.
Journal Paper Machine Learning, Volume 101, Issue 1 (2015), pp: 253-269.

Infinite Kernel Learning by Multi-Local Algorithm

Özöğür-Akyüz S.,Üstünkar G., Weber G.-W.,
Journal Paper in International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), Vol. 30, No. 4 (2016) 1651004 (21 pages)

A Novel Approach for Panel Data: An Ensemble of Weighted Functional Margin SVM Models

B. Eygi Erdoğan, S. Özöğür-Akyüz, P. Karadayı Ataş
Journal Paper Information Sciences, Volume 557, May 2021, Pages 373-381, https://doi.org/10.1016/j.ins.2019.02.045

Classification of Motor Imagery Task by Using Novel Ensemble Pruning Approach

M. A. Ali,D. Üçüncü, P. Karadayı Ataş, S. Özöğür Akyüz
Journal Paper IEEE Transactions on Fuzzy Systems 2019, 28.1: 85-91. DOI: 10.1109/TFUZZ.2019.2900859

Ensemble cluster pruning via convex-concave programming

S. Özöğür AkyüzOtar, B.Ç.Otar, P.Karadayı Atas
Journal PaperComputational Intelligence, 2020, 36(1), pp. 297–319

Ensemble Learning Based Feature Selection Using Convex Concave Programming

P.Karadayı AtasS. Özöğür Akyüz
Journal PaperAuthorea. September 27, 2020. DOI: 10.22541/au.160120622.23149162

Dynamical modelling of enzymatic reactions, simulation and parameter estimation with genetic algorithms.

S. ÖzöğürA.G. Sağdıçoğlu Celep, B. Karasözen, N. Yıldırım and G.-W. Weber
Conference Papers In: HIBIT proceedings of International Symposium on Health Informatics and Bioinformatics, Turkey’05, Antalya, Turkey, November, 2005, pp. 78–84.

Biological Data Mining by Using SVM and Pattern Analysis

S. Özöğür, G.-W. Weber and J. Shawe-Taylor
Conference Papers in EURO XXI, 21st European Conference on Operational Research, Iceland, 2-5 July 2006, pp. 49 (abstract).

Serum Zinc and Copper Level Determination in Obstructive Sleep Apnea Patients

A. Akyüz, T. Yurdun, Z. Pelin, S. Özöğür and O. Ercan
Conference Papers(in 6th IC-TST; 6th International Congress of Turkish Society of Toxicology “Chemical Safety and Toxicology”, Antalya, Turkey, 2-5 November, 2006, pp. 140 (abstract).

Serum Copper and Zinc Status in Obstructive Sleep Apnea Patients

A. Akyüz, T. Yurdun, Z. Pelin, S. Özöğür and O. Ercan
Conference Papers(poster) in 8th Congress of the European Sleep Research Society, Innsbruck, Austria, September 12-16, 2006.

Model Selection via Test Margin

S. Özöğür, Z. Hussain, and J. Shawe-Taylor
Conference Papers in EURO XXII European Conference on Operational Research, Prague, July, 2007, pp. 236 (abstract).

Learning with Infinitely Many Kernels via Semi- Infinite Programming

S. Özöğür-Akyüz , G.-W. Weber
Conference Papers In ISI Proceedings of Euro Mini Conference on Continuous Optimization and Knowledge Based Technologies, ISBN: 978-9955-28-283-9,Vilnius Gediminas Technical University Publishing House “Technika”, 2008, pp. 342- 348.

Infinite kernel learning by infinite and semi-infinite programming

S. Özöğür-Akyüz , G.-W. Weber
Conference Papers Proceedings of the Second Global Conference on Power Control and Optimization, AIP Conference Proceedings 1159, Conference Location and Date: Bali, Indonesia, 1-3 June 2009, Subseries: Mathematical and Statistical Physics; ISBN 978-0-7354-0696-4 (August 2009) 306-313; A.H. Hakim, P. Vasant and N. Barsoum, guest eds.

On New Model Selection Methods for Error Correcting Output Codes (ECOC)

S. Özöğür-Akyüz , T. Windeatt
Conference Papers in 23rd European Conference on Operational Research, in session “Multi-View Learning in Machine Learning”, Bonn, Germany, July 5-8, 2009, pp. 275 (abstract).

Sleep Stage Classification using ECOC

S. Özöğür-Akyüz, A.Ö. Argunşah, A. Akyüz and T. Windeatt
Conference Papers (poster) in 4th International Symposium on Health Informatics and Bioinformatics (HIBIT), Ankara, Turkey, April 16-17, 2009.

Data Mining and Knowledge Discovery studies in psychophysiological and paradoxical sleep apnea patients

B. Kaymakoğlu, A. Akyüz, S. Özöğür-Akyüz, N. Baykal and F. Özgen
Conference Papers in 23rd European Conference on Operational Research, in session “Data Mining and Healthcare Informatics”, Bonn, Germany, July 5-8, 2009, pp. 298 (abstract).

Medical Image Retrieval and Automatic Annotation: VPA-SABANCI at ImageCLEF 2009

Unay D., Soldea O., Ozogur-Akyuz S., Cetin M., Ercil
Conference Papers Proc. of Cross-Language Evaluation Forum (CLEF) Workshop in conjunction with ECDL’09, Corfu - Greece, 2009.

Application of Advanced Machine Learning Methods For SNP Discovery in Complex Disease Association Studies

G. ÜstünkarS. Özöğür-Akyüz, U. Sezerman, G.-W. Weber and N. Baykal
Conference Papers in Proceedings of International Congress on Computational and Applied Mathematics (ICCAM), Antalya, September 2009 (abstract).

SNP-Complex Disease Association by Simulated Annealing Approach

G. Üstünkar,S. Özöğür -Akyüz and G.-W. Weber
Conference Papers extended abstract, 8th International Conference on Optimization: Techniques and Applications (ICOTA8), Shanghai, China, December 10-13, 2010.

Online web based solution for environmental sustainable development

U. Akyüz, O. Yazici, O. Kilic, G. Akturk, E. Mert, B. Uzunlu, B. Ozturk, S. Ozogur-Akyuz
Conference Papers In Proceedings of 24th European Conference on Operational Research (EURO XXI), pp 14, 2010.

Application of advanced machine learning methods for tag snp selection in complex disease association studies

G. Üstünkar, S. Özöğür-Akyüz, G.W-Weber, N. Baykal
Conference Papers In Proceedings of 24th European Conference on Operational Research (EURO XXI), pp 35, 2010.

Adapted Infinite Kernel Learning by Multi-Local Algorithm

S. Özöğür-Akyüz, G.W.-Weber
Conference Papers In Proceedings of 24th European Conference on Operational Research (EURO XXI), pp. 78, 2010

Analysis of SNP-complex disease association by a novel feature selection method

G. Ustünkar, S. Özöğür- Akyüz, G.-W. Weber and Y.A. Aydin Son
Conference Papers in Operations Research Proceedings 2010, Selected Papers of the Annual International Conference of the German Operation Research Society, B. Hu, K. Morasch, S. Pickl and M. Siegle, eds., Springer, Berlin, Heidelberg, 2011, 21-26.

A novel graph theoretical approach for reconstruction of signalling pathways by genetic algorithm

S. Özöğür-Akyüz, A. Kaygun, İ. Karaduman
Conference Papers In Proceedings of European Chapter on Combinatorial Optimization ECCO 2012, pp.6, Antalya, 2012.

Ensemble Pruning via DC Programming

S. Özöğür-Akyüz, T. Windeatt
Conference Papers R. Smith, In Proceedings of 24th European Conference on Operational Research (EURO XXV), pp149, Vilnius, Lithuania, 2012.

Pruning Error Correcting Output Code (ECOC) by Using Optimization

S. Akyüz, T. Windeatt, S. Raymond
Conference Papers International Conference on Machine Learning (ICML), Workshop on Optimization in Machine Learning, poster presentation, 2012.

Learning Weights of Multiple Kernels by Genetic Algorithm: integrated with ECOC

S. Özöğür-Akyüz, T. Windeatt
Conference Papers EURO, INFORMS 26th Conference on Operational Research, pp. 27, Rome, Italy, 2013.

Ensemble Clustering Selection by Optimization of Accuracy-Diversity Trade off

S. Özöğür-Akyüz
Conference Papers In Proceedings of 28th European Conference on Operational Research (EURO XXVIII), 2016, Poznan, Poland

Ensemble Learning by Two Step-Margin Based Model Selection: Case Study on Bankruptcy Data in Turkish Commercial Banks

B. Eygi Erdoğan, S. Özöğür-Akyüz
Conference Papers In Proceedings of International Conference On Trends And Perspectives In Linear Statistical Inference, LINSTAT 2016, Istanbul, Turkey

Ensemble Clustering Selection with Additional Bound Constraints

S. Akyüz
Conference Papers In Proceedings of International Conference On Trends And Perspectives In Linear Statistical Inference, LINSTAT 2016, Istanbul, Turkey

Clustered Support Vector Regression: House Price Prediction Case Study

B. Eygi Erdoğan, S. Özöğür- Akyüz
Conference Papers In Proceedings of Xth International Statistics Days Conference, Giresun, Turkey, 2016

Regularized ensemble pruning by optimizing accuracy diversity trade-off

S Akyüz
Conference Papers Conference of the International Federation of Operational Research Societies (IFORS), Quebec, Canada, 2017

A novel ensemble pruning approach for ANN-based churn prediction ensemble models

S. Akyüz, K.W. De Bock, P. Karadayi Ataş
Conference Papers in Abstract Proceedings of European Conference on Operations Research, EURO 2018, Valencia, Spain.

Ensemble learning by disciplined convex and concave programming

K.W De Bock, P. Karadayi Ataş, S. Akyüz
Conference Papers in Abstract Proceedings of European Conference on Operations Research, EURO 2018, Valencia, Spain.

Optimality Conditions for Sparse Quadratic Optimization Problem

D. Üçüncü, S. Akyüz, E. Gül, G. Wilhelm-Weber
Conference Papers H. C. Rodrigues et al. (Eds.): EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization, pp. 766–777, 2019

Tuning Accuracy-Diversity Trade-off in Neural Network Ensemble via Novel Entropy Loss Function

Muhammad Ammar Ali, Yusuf Sahin, Süreyya Özöğür-Akyüz, Gozde Unal
Conference Papers (Under Review) 29th IEEE Signal Processing And Communications Applications Conference (SIU 2021)

Infinite Kernel Learning by Semi-infinte Optimization: Integrated with New Model Selection Algorithm

Akyüz Süreyya
Books LAP LAMBERT Academic Publishing, Sayfa Sayısı 172, ISBN: 978-3845434988, English(Scientific Book)

Mathematical Modelling of Enzymatic Reactions: Simulation and Parameter Estimation by Genetic Algorithm

Akyüz Süreyya
Books VDM Verlag Dr. Müller, Sayfa Sayısı 88, ISBN:978-3-639- 13153-6, English(Scientific Book)

A Weighted Ensemble Learning by SVM for Longitudinal Data: Turkish Bank Bankruptcy

Erdogan B.E., Akyüz S.Ö.
Book Chapters In: Tez M., von Rosen D. (eds) Trends and Perspectives in Linear Statistical Inference. Contributions to Statistics. Springer, Cham, doi https://doi.org/10.1007/978-3-319-73241-1_6

Selected Papers of the Annual International Conference of the German Operations Research Society

Üstünkar Gürkan, Akyüz Süreyya, Weber Gerhard Wilhelm, Aydın Son Yeşim
Book ChapterSpringer-Verlag Berlin Heidelberg, Editör: Hu, B., Morasch, K., Pickl, S., Siegle, M., ISBN:978-3-642-20009-0, English(Scientific Book),

Multilingual Information Access Evaluation II. Multimedia Experiments, Section name:(Automated X-Ray Image Annotation)

Akyüz Süreyya, Ünay Devrim, Soldea Octavian, Çetin Müjdat, Erçil Aytül
Books Springer Berlin Heidelberg, ISBN:978-3-642-15751-6, English (Scientific Book)

Mathematical Modelling of Enzymatic Reactions: Simulation and Parameter Estimation by Genetic Algorithm

Akyüz Süreyya
Book Chapters VDM Verlag Dr. Müller, Sayfa Sayısı 88, ISBN:978-3-639- 13153-6, English(Scientific Book)

Data Mining, Annals of Information Systems, Section name:(Prediction with the SVM using test point margins)

Akyüz Süreyya
Book Chapters Hussain Zakria, Shawe Taylor John, Springer US, ISBN:1934-3221, English (Scientific Book)

Operations Research Proceedings 2008, Section name:(New Optimization Methods in Data Mining)

Akyüz Süreyya, Öztürk Basak, Tchemisova Tatiana,Weber Gerhard Wilhelm
Book Chapter Springer-Verlag Berlin Heidelberg, Editör:Bernhard Fleischmann, Karl-Heinz Borgwardt, Robert Klein,Axel Tuma , ISBN:978-3-642-00141-3, English (Scientific Book)

Recent Advances in Statistics, Section name:(Statistical learning and optimization methods in data mining)

Weber Gerhard Wilhelm, Taylan Pakize, Akyüz Süreyya, Öztürk Basak
Book Chapter Turkish Statistical Institute Press, Editör:H.Ö. Ayhan, I. Batmaz, , ISBN:978-975-01606-0-8, English (Scientific Book)

This software mainly has two parts:

  • Ensemble Clustering Selection By Optimization of Accuracy Diverstiy Trade Off (.\scikit-feature-master\EnsembleMethodsByOptimization)
  • Ensemble Feature Selection By Optimization of Accuracy Diverstiy Trade Off (.\scikit-feature-master\skfeature\function,.scikit-feature-master\EnsembleMethodsByOptimization)

Download Source Code

Current Teaching

  • 2020 2021

    Linear Algebra with ApplicationsI (Fall)

    Mathematical Data Analysis (Spring)

    Principles of Large-Scale Machine Learning (PhD course) (Spring)

    Optimization (PhD course)(Spring)

    Bahçeşehir University

Teaching History

  • 2009

    Introduction to Probability and Statistics

    Sabancı University

  • 2009 2010

    Linear Algebra with Matlab (Fall)

    Linear Algebra with Matlab (Spring)

    Numerical Optimization (Msc - Spring)

    Bahçeşehir University

  • 2011 2012

    Lineer Algebra with Matlab (Fall)

    Differential Equations (Fall)

    Bahçeşehir University

  • 2012 2013

    Calculus I (Fall)

    Calculus II (Spring)

    Bahçeşehir University

  • 2013 2014

    Calculus I (Fall)

    Calculus II (Spring)

    Calculus I (Summer)

    Bahçeşehir University

  • 2014 2015

    Calculus I (Fall)

    Enginneering Mathematics (Msc -Fall)

    Calculus II (Spring)

    Bahçeşehir University

  • 2015 2016

    Calculus I(Fall)

    Calculus II(Spring)

    Bahçeşehir University

  • 2016 2017

    Calculus I (Fall)

    Linear Algebra and Differential Equations (Fall)

    Linear Programming(PhD Course)(Fall)

    Introduction to Bioinformatics (Spring)

    Computational Biology II (Spring)

    Numerical Optimization (PhD Course - Spring)

    Calculus I (Summer)

    Linear Algebra (Summer)

    Bahçeşehir University

  • 2017 2018

    Calculus II (Fall)

    Linear Algebra and Differential Equations (Fall)

    Linear Optimiation/Optimization Techniques (PhD Course)(Fall)

    Calculus I (Spring)

    Computational Biology II (Spring)

    Optimization (PhD Course - Spring)

    Calculus I (Summer)

    Bahçeşehir University

  • 2018 2019

    Computational Biology I (Fall)

    Linear Algebra with Applications(Fall)

    Linear Optimization/Optimization Techniques (PhD Course)(Fall)

    Data Mining (Spring)

    Computational Biology II (Spring)

    Differential Equations (Spring)

    Optimization for Machine Learning/Optimization (PhD Course - Spring)

    Bahçeşehir University

Contact & Meet Me

  •    office: +90 212 381 0534
  •    fax : +90 212 381 0550
  •    sureyya.akyuz@eng.bau.edu.tr
  •    @Sureyya_Akyz
  •    Süreyya Akyüz Özöğür

At My Office

You can find me at my office located at Bahçeşehir University, Faculty of Engineering and Natural Sciences.

I am at my office every day from 8:00 until 17:00 am, but you may consider a call to fix an appointment.

At My Lab

You can find me at Computer Vision Lab at first floor of Faculty of Engineering and Natural Sciences, If I am not at my office.