I. - Basic information

I.1 - Surname

Ünal Özpalamutcu

I.2 - Name

Deniz

I.3 - Degrees

Professor 2021-Assoc Prof. 2012-Assistant Prof. 2008--PhD.2006,-M.Sc 2002- BSc-1998

I.4 - Year of birth

16.011976

I.5 - Name of the workplace

Comenius Univversity

I.6 - Address of the workplace

Odbojárov 10, 820 05 Bratislava

I.7 - Position

Professor

I.8 - E-mail address

denizunal@uniba.sk

I.10 - Name of the study field in which a person works at the university

Mathematics, Statistics, Financial Mathematics, Risk Analysis

I.11 - ORCID iD

https://orcid.org/0000-0002-4095-3039

II. - Higher education and further qualification growth

II.1 - First degree of higher education

II.a - Name of the university or institution

B. Sc, MARMARA UNIVERSITY, Education Faculty-

II.b - Year

1993-1998

II.c - Study field and programme

Teaching of Mathematics- Department of Education

II.2 - Second degree of higher education

II.a - Name of the university or institution

Master, İHSAN DOĞRAMACI BİLKENT UNIVERSITY,

II.b - Year

2000-2002

II.c - Study field and programme

Science Facuty- Mathematics Department

II.3 - Third degree of higher education

II.a - Name of the university or institution

PhD, ÇUKUROVA UNIVERSITY,

II.b - Year

2003-2006

II.c - Study field and programme

Science Faculty- Statistic Department

II.4 - Associate professor

II.a - Name of the university or institution

Çukurova University

II.b - Year

2012

II.c - Study field and programme

Statistics

II.5 - Professor

II.a - Name of the university or institution

Çukurova University

II.b - Year

2021

II.c - Study field and programme

Statistics

II.6 - Doctor of Science (DrSc.)

II.a - Name of the university or institution

PhD, ÇUKUROVA UNIVERSITY,

II.b - Year

2003-2006

II.c - Study field and programme

Science Faculty- Statistic Department

III. - Current and previous employment

III.a - Occupation-position	III.b - Institution	III.c - Duration
Professor	Comenius University-Management Faculty	2024-
Professor	Çukurova University Science Faculty	2021-2023
Associative Prof.	Çukurova University Science Faculty	2012-2021
Assistant Prof.	Çukurova University Science Faculty	2008-2012
Research Assistant	Çukurova University Science Faculty	2004-2008
Research Assistant	Bilkent University -Science Faculty Math.	2000-2003

IV. - Development of pedagogical, professional, language, digital and other skills

V. - Overview of activities within the teaching career at the university

V.1 - Overview of the profile courses taught in the current academic year according to study programmes

V.1.a - Name of the profile course	V.1.b - Study programme	V.1.c - Degree	V.1.d - Field of study
Mathematics I	Comenius University-Management Faculty

V.2 - Overview of the responsibility for the delivery, development and quality assurance of the study programme or its part at the university in the current academic year

V.3 - Overview of the responsibility for the development and quality of the field of habilitation procedure and inaugural procedure in the current academic year

V.4 - Overview of supervised final theses

V.4.1 - Number of currently supervised theses

V.4.2 - Number of defended theses

V.5 - Overview of other courses taught in the current academic year according to study programmes

VI. - Overview of the research/artistic/other outputs

VI.1 - Overview of the research/artistic/other outputs and the corresponding citations

VI.1.1 - Number of the research/artistic/other outputs

VI.1.a - Overall

VI.1.b - Over the last six years

VI.1.2 - Number of the research/artistic/other outputs registered in the Web of Science or Scopus databases

VI.1.a - Overall

VI.1.b - Over the last six years

VI.1.3 - Number of citations corresponding to the research/artistic/other outputs

VI.1.4 - Number of citations registered in the Web of Science or Scopus databases

VI.1.5 - Number of invited lectures at the international, national level

VI.2 - The most significant research/artistic/other outputs

Comparison of Data Mining Classification Algorithms Determining the Default Risk

Scientific Programming

2019 | Journal article

DOI: 10.1155/2019/8706505

WOSUID: WOS:000459098200001

Contributors: Cigsar, Begum; Unal, Deniz

URL

http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000459098200001&KeyUID=WOS:000459098200001

Accelerating the premiums for annuities, life annuities and life insurance

Communications in Statistics - Theory and Methods

2019-06-03 | Journal article

DOI: 10.1080/03610926.2018.1564329

Part of ISSN: 0361-0926

Part of ISSN: 1532-415X

URL

http://dx.doi.org/10.1080/03610926.2018.1564329

The Effect of Gender and Gender-Dependent Factors on the Default Risk

Revista De Cercetare Si Interventie Sociala

2018 | Journal article

WOSUID:Contributors: Cigsar, Begum; Unal, Deniz

URL

http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000457127100002&KeyUID=WOS:000457127100002

Comparison of the iterative stein-rule and the usual estimators of the disturbance variance under the pitman nearness criterion in a linear regression model with proxy variables

Communications in Statistics - Theory and Methods

2013 | Journal article

DOI: 10.1080/03610926.2011.593287

EID: 2-s2.0-84877939575

Contributors: Ünal, D.; Yüksel, G.

URL

http://www.scopus.com/inward/record.url?eid=2-s2.0-84877939575&partnerID=MN8TOARS

Çığşar, B., Ünal, D., Boulou, A. H. B., & Alshahaby, B. (2024) Logistic and CSG Growth Models for Predicting Life Expectancy. Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 29(2), 503-513.

URL:

https://dergipark.org.tr/tr/pub/yyufbed/issue/86882/1432156

VI.3 - The most significant research/artistic/other outputs over the last six years

Alpman Burcu, Ünal Deniz (2019). ACCELERATING THE PREMIUMS FOR ANNUITIES, LIFE ANNUITIES AND LIFE INSURANCE. Communication in Statistics Theory and Methods ( No: 4652387)

Boga, S., Çığşar, B., & Ünal, D. (2023). Determining Consumer Default Risk with Data Mining Techniques: An Empirical Analysis on Turkey. International Journal of Contemporary Economics and Administrative Sciences, 13(1), 084-100

Ünal, D., Çığşar, B., Alam, D., Atalar, Ş. E., Gümüş, S. İ., & Çakıtlı, A. (2023). Reading The World With Statistical Literacy: Results of An Emprical Study. Bilge International Journal of Science and Technology Research, 7(2), 198-203.

Çığşar Begüm, Ünal Deniz (2019). Comparison of Data Mining Classification Algorithms Determining the Default Risk. Scientific Programming, 2019, 1-8., Doi: 10.1155/2019/8706505 ( No: 4819935)

VI.4 - The most significant citations corresponding to the research/artistic/other outputs

Comparison of data mining classification algorithms determining the default risk

B Çığşar , D Ünal - Scientific Programming, 2019 - Wiley Online Library

Big data and its analysis have become a widespread practice in recent times, applicable to

multiple industries. Data mining is a technique that is based on statistical applications. This…

Save Quote Number of times cited: 86 Related articles All 6 versions

URL for Citations:

https://scholar.google.com/scholar?cites=12005128613583877244&as_sdt=2005&sciodt=0,5&hl=tr

Gompertz, logistic and brody functions to model the growth of fish species Siganus rivulatus

Ü Deniz , H YELDAN , GÜL Eylem … - Acta Biologica …, 2017 - actabiologicaturcica.com

The purpose of this study is to apply the Gompertz, Logistic and Brody models, which are

mostly used in literature because of having good capacities to describe growth, thanks to the …

Save Quote Number of times cited: 9 Related articles All 4 versions

URL for Citations:

https://scholar.google.com/scholar?cites=9190130477323943037&as_sdt=2005&sciodt=0,5&hl=tr

The effects of the proxy information on the iterative Stein-rule estimator of the disturbance variance

D Ünal - Statistical Papers, 2010 - Springer

In a regression model with proxy variables, we consider the iterative estimator of the

disturbance variance to obtain more precise estimates. In the formula of the estimator of the …

Save Quote Number of times cited: 7 Related articles All 12 versions

URL for Citations:

https://scholar.google.com/scholar?cites=10564685144316121335&as_sdt=2005&sciodt=0,5&hl=tr

Mixture distribution approach in financial risk analysis

K Kocak, N Calis , D Unal - Journal of Business Economics and …, 2013 - haberpark.org.tr

In recent years, major changes occurred in the prices of stock exchange and appeared the necessity

of measuring the financial risk. Nowadays, Value-atRisk (VaR) is often used to calculate …

Save Quote Number of times cited: 4 Related articles

URL for Citations:

https://scholar.google.com/scholar?cites=4493567003910943471&as_sdt=2005&sciodt=0,5&hl=tr

[PDF] Comparison of the iterative Stein-rule and the usual estimators of the error variance under the Pitman nearness criterion

D Ünal , G Yüksel - Hacettepe Journal of Mathematics and Statistics, 2009 - haberpark.org.tr

… Deniz Ünal ∗ and Güzin Yüksel∗† … Unal [10] compared this estimator with the OLS

estimator with respect to the MSE criterion in a regression model with proxy variables. The aim of…

Save Quote Number of times cited: 2 Related articles All 3 versions

URL for Citations:

https://scholar.google.com/scholar?cites=3858014727875091827&as_sdt=2005&sciodt=0,5&hl=tr

VI.5 - Participation in conducting (leading) the most important research projects or art projects over the last six years

Data Mining Classification Algorithms in Credit Risks, scientific research project supported by Higher Education Institutions,

Supported by the Higher Education Institution

Comparison of the Iterative Stein rule and the Usual Estimators of the Disturbance Variance under the Pitman Nearness Criterion in a Linear Regression Model with Proxy Variables

Supported by the Higher Education Institution

Examining the Conditions that will strengthen the Success of the Iterative SteinRule Estimator of The Disturbance Variance in Proxy Model

Supported by the Higher Education Institution

The Types of Annuities with Flexible Payment Premium

APPROACHES TO GROWTH MODELS AND NEW GROWTH MODELS,

Supported by the Higher Education Institution

DISCOVER LIFE WITH MATHEMATICS- Statistical literacy, DENİZ ÜNAL&KAMURAN TARIM,

Supported by the TÜBİTAK

VII. - Overview of organizational experience related to higher education and research/artistic/other activities

VII.a - Activity, position	VII.b - Name of the institution, board	VII.c - Duration
Prof. Dr.	Çukurova University	2021-2023
Assoc. Prof.	Çukurova University	2008-2021
Assitant Prof.	Çukurova University	2006-2008
Research Assistant	Çukurova University	2003-2006
Research Assistant	Bilkent University	2000-2002

Name and surname:	prof. Deniz Ünal Özpalamutcu, PhD.
Document type:	Research/art/teacher profile of a person
The name of the university:	Comenius University Bratislava
The seat of the university:	Šafárikovo námestie 6, 818 06 Bratislava

I. - Basic information

II. - Higher education and further qualification growth

II.1 - First degree of higher education

II.2 - Second degree of higher education

II.3 - Third degree of higher education

II.4 - Associate professor

II.5 - Professor

II.6 - Doctor of Science (DrSc.)

III. - Current and previous employment

IV. - Development of pedagogical, professional, language, digital and other skills

V. - Overview of activities within the teaching career at the university

V.1 - Overview of the profile courses taught in the current academic year according to study programmes

V.2 - Overview of the responsibility for the delivery, development and quality assurance of the study programme or its part at the university in the current academic year

V.3 - Overview of the responsibility for the development and quality of the field of habilitation procedure and inaugural procedure in the current academic year

V.4 - Overview of supervised final theses

V.4.1 - Number of currently supervised theses

V.4.2 - Number of defended theses

V.5 - Overview of other courses taught in the current academic year according to study programmes

VI. - Overview of the research/artistic/other outputs

VI.1 - Overview of the research/artistic/other outputs and the corresponding citations

VI.1.1 - Number of the research/artistic/other outputs

VI.1.2 - Number of the research/artistic/other outputs registered in the Web of Science or Scopus databases

VI.1.3 - Number of citations corresponding to the research/artistic/other outputs

VI.1.4 - Number of citations registered in the Web of Science or Scopus databases

VI.1.5 - Number of invited lectures at the international, national level

VI.2 - The most significant research/artistic/other outputs

VI.3 - The most significant research/artistic/other outputs over the last six years

VI.4 - The most significant citations corresponding to the research/artistic/other outputs

VI.5 - Participation in conducting (leading) the most important research projects or art projects over the last six years

VII. - Overview of organizational experience related to higher education and research/artistic/other activities

VIII. - Overview of international mobilities and visits oriented on education and research/artistic/other activities in the given field of study

IX. - Other relevant facts