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Pusatlı, Özgür Tolga

Profile Picture
Profile URL
https://hdl.handle.net/20.500.12416/8907
Name Variants
Pusatlı, O. Tolga
Pusatli, Tolga
Pusatli, T.
Pusatli, O.T.
Pusatli, Ozgur Tolga
Pusatlı, T.
Tolga Pusatli, O.
Job Title
Doç. Dr.
Email Address
pusatli@cankaya.edu.tr
Main Affiliation
03.07. Yönetim Bilişim Sistemleri
03. İktisadi ve İdari Birimler Fakültesi
01. Çankaya Üniversitesi
03.07. Yönetim Bilişim Sistemleri
Yönetim Bilişim Sistemleri
03. İktisadi ve İdari Birimler Fakültesi
01. Çankaya Üniversitesi
Status
Current Staff
Website
ORCID ID
0000-0002-2303-8023
Scopus Author ID
57821219800
Turkish CoHE Profile ID
51704
Google Scholar ID
OHvyKU0AAAAJ
WoS Researcher ID
C-6912-2019
Files
00833.jpg (164.74 KB)

Sustainable Development Goals

15

LIFE ON LAND
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0

Research Products

14

LIFE BELOW WATER
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0

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4

QUALITY EDUCATION
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0

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16

PEACE, JUSTICE AND STRONG INSTITUTIONS
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1

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7

AFFORDABLE AND CLEAN ENERGY
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0

Research Products

10

REDUCED INEQUALITIES
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2

ZERO HUNGER
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0

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11

SUSTAINABLE CITIES AND COMMUNITIES
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0

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9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
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6

CLEAN WATER AND SANITATION
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0

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5

GENDER EQUALITY
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0

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17

PARTNERSHIPS FOR THE GOALS
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2

Research Products

12

RESPONSIBLE CONSUMPTION AND PRODUCTION
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0

Research Products

8

DECENT WORK AND ECONOMIC GROWTH
DECENT WORK AND ECONOMIC GROWTH Logo

1

Research Products

3

GOOD HEALTH AND WELL-BEING
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0

Research Products

13

CLIMATE ACTION
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0

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1

NO POVERTY
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0

Research Products
Documents

23

Citations

286

h-index

9

Go to Scopus profile
Documents

14

Citations

231

Go to WoS profile
Scholarly Output

24

Articles

12

Views / Downloads

530/0

Supervised MSc Theses

1

Supervised PhD Theses

0

WoS Citation Count

195

Scopus Citation Count

234

WoS h-index

7

Scopus h-index

7

Patents

0

Projects

0

WoS Citations per Publication

8.13

Scopus Citations per Publication

9.75

Open Access Source

3

Supervised Theses

1

JournalCount
22nd International Conference on Neural Information Processing (ICONIP) -- NOV 09-12, 2015 -- Istanbul, TURKEY1
ACM International Conference Proceeding Series -- 6th International Conference on Computer and Technology Applications, ICCTA 2020 -- 14 April 2020 through 16 April 2020 -- Antalya -- 1604901
ACM International Conference Proceeding Series -- 9th International Conference on Software and Information Engineering, ICSIE 2020 -- 11 November 2020 through 13 November 2020 -- Virtual, Online -- 1662851
Computers and Concrete1
Cyber Security and Threats: Concepts, Methodologies, Tools, and Applications1
Current Page: 1 / 5

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Scholarly Output Search Results

Now showing 1 - 10 of 24
  • Thumbnail Image
    Conference Object
    Security Requirements in Iot Environments
    (Springer Science and Business Media Deutschland GmbH, 2022) Koyuncu, M.; Pusatlı, T.; Binglaw, F.
    The Internet of Things (IoT) is a relatively new concept as it connects things (or objects) that do not have high computational power. The IoT helps these things see, listen, and take action by interoperating with minimal human intervention to make people’s lives easier. However, these systems are vulnerable to attacks and security threats that could potentially undermine consumer confidence in them. For this reason, it is critical to understand the characteristics of IoT security and their requirements before starting to discuss how to protect them. In this scope, the present work reviews the importance of security in IoT applications, factors that restrict the use of traditional security methods to protect IoTs, and the basic requirements necessary to judge them as secure environments. © 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
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    Book Part
    Maintaining Cybersecurity Awareness in Large-Scale Organizations: a Pilot Study in a Public Institution
    (IGI Global, 2023) Aslan, M.; Pusatli, T.
    Research was conducted to increase the awareness of employees with regard to cyber security to fill the gap in the literature where few studies on how effective the measures implemented in organizations were reported. This research uses the outcome of the phishing drills that a public institution applied to its personnel, participation of said personnel in awareness training, and the reading statistics of regularly published information security bulletins. This has been beneficial in determining the methods to increase the cyber security awareness of personnel in organizations with 1,000 or more personnel; users were considered as a whole, and not individually evaluated. Findings report that organizations can increase users' cybersecurity awareness by systematically conducting phishing exercises, providing awareness training, and regularly publishing information security bulletins. The awareness of reading bulletins rapidly increased after phishing exercises and training and decreased in the following months; however, an increase was observed in the long term. © 2023, IGI Global. All rights reserved.
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    Article
    A Prelımınary Work On Investıgatıng Unıted Natıons’s Egovernment Crıterıa In Mıddle East Countrıes
    (2017) Hussein, Mohammed; Pusatlı, O. Tolga
    The benefits of e-government initiatives empowered by the information and communication technologies, are acknowledged widely with assessment criteria published by the United Nations regularly over the last 15 years. One of the reasons that United Nations has taken such assessment into agenda is the apparent advantages of such initiatives over the citizen, society and government. In parallel literature review and current status of Middle East countries, these issues are investigated with examples: Internet users, awareness and training, culture, intention to use e-government applications of the citizens, portal and interoperability. It is noted that assessment of human capital indices for these countries should be read carefully while considering these topics. The findings reveal the impact of human capital index on evaluating egovernment performance; geographical area and population also affect the adoption of e-government. For this, follow-up work is suggested to investigate the level of information and communication technology and computer literacy along with these factors in the region. This research has limitations which include the sources of information, exclusive economic and legal issues and a number of measurement methods.
  • Thumbnail Image
    Book Part
    A Model To Assist the Maintenance Vs. Replacement Decision in Information Systems
    (IGI Global, 2013) Regan, B.; Pusatli, O.T.
    An extensive literature review shows that Information Systems (IS) are changed and eventually replaced by substitutes under the influence of productivity, popularity, and specialisation of IS along with associated available support facilities, maintenance activities, failures, and user feedback. This chapter compiles those factors emerged from software engineering, IS, software quality assurance measurements, and computer science literature. A final product is a proposed model bringing those factors together as they are suspected to raise a need for taking the decision of evaluating change requests that may lead to a further maintenance or replace the IS. While keeping in mind that limitations on advanced testing exist, an expected service of such a model may help decision makers to explain maintenance/replacement decision of IS/component in a more itemized manner, hence diminish overburden pressure of experience responsibility on them. © 2014, IGI Global.
  • Thumbnail Image
    Conference Object
    Citation - Scopus: 5
    Investigating End User Errors in Oil and Gas Critical Control Systems
    (Association for Computing Machinery, 2020) Alrawi, L.N.; Pusatli, T.
    System availability and efficiency are critical in the petroleum sector as any fault affecting those systems may negatively impact operations resources, such as money, human resources and time. Therefore, it has become important to investigate the reasons for such errors. In this study, human error has been targeted since a number of these errors is projected to increase in the sector. The factors that affect end user behavior are investigated in addition to an evaluation of the relation between system availability and human behavior. An investigation has been performed following the descriptive methodology in order to gain insights into human error factors. Questionnaires related to software/hardware errors and errors due to the end user were collected from 81 site workers. The findings indicate a potential relation between end user behavior and system availability. Training, experience, education, work shifts, system interface, usage of memory sticks and I/O devices were identified as factors affecting end user behavior, hence system availability and efficiency. © 2020 ACM.
  • Thumbnail Image
    Article
    Citation - WoS: 19
    Citation - Scopus: 18
    Innovative Stability Analysis of Complex Secondary Toppling Failures in Rock Slopes Using the Block Theory
    (Springer Heidelberg, 2025) Mao, Yimin; Azarafza, Mohammad; Bonab, Masoud Hajialilue; Pusatli, Tolga; Nanehkaran, Yaser A.
    We present the block theory-based secondary toppling stability analysis method (BTSTSA), an advanced and novel method specifically designed to assess secondary toppling failures in slopes. This innovative method comprehensively accounts for various failure mechanisms and computes the factor of safety (F.S) for rock slopes. Grounded in Block theory principles, particularly the key-block method, and supplemented by limit equilibrium techniques, BTSTSA offers a practical and reliable analytical framework. Our investigation focused on five discontinuous rock slopes in the South Pars region, southwest Iran, which are affected by composite toppling failure mechanisms. The stability analysis results were meticulously verified using the Aydan-Kawamoto method, a recognized benchmark in the field. Comparative analysis consistently demonstrated that the BTSTSA approach generates more conservative estimates of the F.S compared to the Aydan-Kawamoto method. This conservatism underscores the robustness and reliability of the BTSTSA framework and highlights its implications for practical engineering applications. The integration of this innovative analytical method with data from these investigations offers crucial insights for geotechnical engineers, equipping them to manage the complexities of secondary toppling failures in discontinuous rock slopes. These findings emphasize the importance of considering conservatism in engineering applications and provide a more accurate and reliable assessment of slope stability, particularly concerning secondary toppling failures, thereby benefiting geotechnical engineering practices.
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    Conference Object
    Citation - WoS: 13
    Citation - Scopus: 15
    A Survey of Applying Machine Learning Techniques for Credit Rating: Existing Models and Open Issues
    (Springer international Publishing Ag, 2015) Xu, Min; Pusatli, Ozgur Tolga; Wang, Xiang
    In recent years, machine learning techniques have been widely applied for credit rating. To make a rational comparison of performance of different learning-based credit rating models, we focused on those models that are constructed and validated on the two mostly used Australian and German credit approval data sets. Based on a systematic review of literatures, we further compare and discuss about the performance of existing models. In addition, we identified and illustrated the limitations of existing works and discuss about some open issues that could benefit future research in this area.
  • Thumbnail Image
    Article
    Citation - WoS: 1
    Exploring Supportive and Deterrent Factors on Online Shopping in a Developing Country
    (Igi Global, 2020) Pusatli, Tolga; Akman, Ibrahim
    This study explores the influence of the reasons of individuals' supportive and deterrent behaviors against commercial usage of online media in the emerging market of Turkey. The supportive and deterrent factors are grouped in empirical categories as discouragement and encouragement, respectively. The impact of these factors on actual behavior were assessed via intermediary empirical category including the variables inefficiency, efficiency, intention, and subjective norm. A survey was conducted using a sample of 251 observations obtained from the visitors of three large/busy malls using purposive sampling. The multiple least-square regression was utilized to test the nature of the relationships between variables. Results indicated a significant discouraging impact of warranty, finance, habits, security on inefficiency perceptions, an encouraging impact of geography and convenience on efficiency perceptions. Significant behavioral impact of perceptions regarding inefficiency, efficiency, subjective norms, and intention on actual usage of online shopping was also observed.
  • Thumbnail Image
    Book Part
    Citation - Scopus: 2
    A Model to Assist the Maintenance Vs. Replacement Decision in Information Systems
    (IGI Global, 2012) Tolga Pusatli, O.; Regan, B.
    An extensive literature review shows that Information Systems (IS) are changed and eventually replaced by substitutes under the influence of productivity, popularity, and specialisation of IS along with associated available support facilities, maintenance activities, failures, and user feedback. This chapter compiles those factors emerged from software engineering, IS, software quality assurance measurements, and computer science literature. A final product is a proposed model bringing those factors together as they are suspected to raise a need for taking the decision of evaluating change requests that may lead to a further maintenance or replace the IS. While keeping in mind that limitations on advanced testing exist, an expected service of such a model may help decision makers to explain maintenance/replacement decision of IS/component in a more itemized manner, hence diminish overburden pressure of experience responsibility on them. © 2012, IGI Global.
  • Thumbnail Image
    Article
    Citation - WoS: 15
    Citation - Scopus: 15
    Deep Learning Method for Compressive Strength Prediction for Lightweight Concrete
    (Techno-press, 2023) Nanehkaran, Yaser A.; Azarafza, Mohammad; Pusatli, Tolga; Bonab, Masoud Hajialilue; Irani, Arash Esmatkhah; Kouhdarag, Mehdi; Derakhshani, Reza
    Concrete is the most widely used building material, with various types including high-and ultra-high-strength, reinforced, normal, and lightweight concretes. However, accurately predicting concrete properties is challenging due to the geotechnical design code's requirement for specific characteristics. To overcome this issue, researchers have turned to new technologies like machine learning to develop proper methodologies for concrete specification. In this study, we propose a highly accurate deep learning-based predictive model to investigate the compressive strength (UCS) of lightweight concrete with natural aggregates (pumice). Our model was implemented on a database containing 249 experimental records and revealed that water, cement, water-cement ratio, fine-coarse aggregate, aggregate substitution rate, fine aggregate replacement, and superplasticizer are the most influential covariates on UCS. To validate our model, we trained and tested it on random subsets of the database, and its performance was evaluated using a confusion matrix and receiver operating characteristic (ROC) overall accuracy. The proposed model was compared with widely known machine learning methods such as MLP, SVM, and DT classifiers to assess its capability. In addition, the model was tested on 25 laboratory UCS tests to evaluate its predictability. Our findings showed that the proposed model achieved the highest accuracy (accuracy=0.97, precision=0.97) and the lowest error rate with a high learning rate (R2=0.914), as confirmed by ROC (AUC=0.971), which is higher than other classifiers. Therefore, the proposed method demonstrates a high level of performance and capability for UCS predictions.