Pedergnana, Matthieu Joseph

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Profile URL
https://gcris.yasar.edu.tr/handle/123456789/12904
Name Variants
Job Title
Dr.Öğr.Üyesi
Email Address
Main Affiliation
01.01.10.02. Mimarlık Bölümü
Status
Current Staff
Website
ORCID ID
0000-0001-7343-4166
Scopus Author ID
59919309700
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
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matthieu.joseph.pedergnana.jpg (7.72 KB)

Sustainable Development Goals

NO POVERTY1
NO POVERTY
0
Research Products
ZERO HUNGER2
ZERO HUNGER
0
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GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
0
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QUALITY EDUCATION4
QUALITY EDUCATION
0
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GENDER EQUALITY5
GENDER EQUALITY
0
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CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
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AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
0
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DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
1
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
1
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REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
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SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
0
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RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
2
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CLIMATE ACTION13
CLIMATE ACTION
1
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LIFE BELOW WATER14
LIFE BELOW WATER
0
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LIFE ON LAND15
LIFE ON LAND
0
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PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
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PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
1
Research Products
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Scholarly Output

6

Articles

5

Views / Downloads

0/0

Supervised MSc Theses

0

Supervised PhD Theses

0

WoS Citation Count

4

Scopus Citation Count

6

Patents

0

Projects

0

WoS Citations per Publication

0.67

Scopus Citations per Publication

1.00

Open Access Source

4

Supervised Theses

0

JournalCount
Mobilya ve Ahşap Malzeme Araştırmaları Dergisi2
Discover Computing1
Energy & Environment1
Mechanisms and Machine Science -- Unified International Conference on Emerging Technologies in Cyber-Physical Systems and Industrial AI, UNIfied 2024 -- 25 November 2024 through 27 November 2024 -- Jaipur -- 3414991
Sustainability1
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Now showing 1 - 6 of 6
  • Thumbnail Image
    Article
    Citation - Scopus: 1
    Ahşap malzemede kerf kesim tekniği üzerine bir değerlendirme
    (DergiPark, 2024) Yenal Akgün; Gökçe Kırkpınar; Matthieu Joseph Pedergnana; Pedergnana, Matthieu Joseph; Kırkpınar, Gökçe; Akgün, Yenal
    Ahşap geleneksel endüstriyel yapı malzemelerine kıyasla sağladığı hafiflik ve çevresel avantajlar ile mimarlar iç mimarlar ve mobilya tasarımcıları için her zaman ilham kaynağı olmuştur. Ahşap uygun kalınlıklarda doğru kesim ve üretim teknikleri uygulandığında esnek bir yapıya dönüştürülebilmektedir. Bu esnekliği kazandırma yöntemlerinden birisi de kerf kesim tekniğidir. Kerf kesim tekniği bir panel üzerinde belirli bir desen veya şekil oluşturmak için kesimler yaparak sert bir malzemeyi esnek hale getirmeye dayanır. Bu sayede karmaşık fabrikasyon yöntemlerine ve ileri teknoloji malzemelere ihtiyaç duymadan esnek ve şekil değiştirme özelliğine sahip mimari elemanlar ve mobilya ürünleri tasarlanabilir. Bu çalışmada kerf kesim tekniğinin ahşap ürünlerdeki kullanım alanları incelenerek kesim teknolojileri üretim teknikleri kesim tipleri ve desen türleri üzerinden bir sınıflandırma yapılmaktadır. Kerf kesim tekniğinin ahşap işleri alanında önemini ve son yıllarda artan ilgiyi vurgulayan bu çalışma tasarımcılar ve üreticiler için yenilikçi bir üretim yöntemi sunmaktadır. Bu teknik esnek ve estetik açıdan özgün tasarımların geliştirilmesine katkıda bulunarak ahşap ürünlerin kullanım alanlarını genişletme potansiyeline sahiptir.
  • Thumbnail Image
    Article
    Citation - WoS: 2
    Citation - Scopus: 2
    LLM-based embeddings for clustering and predicting integrated reporting quality levels of companies
    (Springer Science and Business Media B.V., 2025) Mert Sarioglu; Gorkem Sariyer; Mert Erkan Sözen; Sarioglu, Mert; Sariyer, Gorkem; Sozen, Mert Erkan
    Artificial Intelligence (AI) offers various useful functions and algorithms that provide numerous benefits for firms to enhance their decision-making process. Moreover with the adoption of Integrated Reporting (IR) reporting practices which are critical communication channels for companies have become more practical. Given the importance of subjects it is believed that addressing LLM embeddings based AI methodologies will contribute positively to IR quality (IRQ) to achieve better results. Additionally grouping companies according to their IRQ characteristics will lead time and cost efficiency in decision-making. So that the main purpose of this study is to cluster companies with respect to their IRQ characteristics based on LLM embeddings and to use this grouping in further decision-making. This paper therefore provides significant evidence whether LLM is useful tool of AI techniques in IR practices and LLM-based clustering is an efficient way of generating predictions for decision-making. To do so the sample size of the study consists of 260 published IR in 2019. This study also introduces a novelty to the literature on the applicability of LLM with small data sets considering that the number of integrated reports published in a year is low or when the sample considered will be small. The findings reveal the superiority of LLM while indicating the usefulness of LLM in prediction of IRQ regarding different indicators of firms. Given the empirical evidence shown the techniques and steps should be adapted by firms both in identifying ways to improve IRQ and in different AI applications in the future. © 2025 Elsevier B.V. All rights reserved.
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    Article
    Citation - WoS: 2
    Citation - Scopus: 2
    The Effect of Corporate Governance on the Quality of Integrated Reporting and ESG Risk Ratings
    (Multidisciplinary Digital Publishing Institute (MDPI), 2025) Murat Çolak; Mert Sarioglu; Sarioglu, Mert; Colak, Murat
    Integrated Reporting (IR) has gained prominence as a comprehensive approach to corporate disclosure yet theoretical clarity is still developing regarding how governance mechanisms shape IR quality and its relation to ESG risk ratings. Addressing this gap this study explores the influence of board and audit committee characteristics on IR quality and whether an improved IR quality is associated with a lower ESG risk. Drawing on different theories this research examines how governance structures enhance transparency and accountability in line with societal expectations. Based on panel data from 158 firms across four years (2019–2022) a random effects Panel EGLS regression model is employed along with an endogeneity check. Findings show that board independence and the presence of women members significantly enhance the IR quality while board size is not a determining factor. Similarly audit committee independence and meeting frequency positively influence the IR quality whereas committee size does not. Furthermore firms with a higher IR quality demonstrate significantly lower ESG risk scores. These results underscore the theoretical proposition that effective governance improves disclosure credibility and reduces information asymmetry. This study suggests that reinforcing board independence and diversity can enhance reporting quality and stakeholder trust offering a strategic path toward more sustainable and transparent corporate behavior. © 2025 Elsevier B.V. All rights reserved.
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    Article
    Analysis of disaggregated level energy use income geopolitical risk energy transition and energy price impact on decarbonization of main sectors in BRICS countries by marginal analysis
    (SAGE Publications Inc., 2025) Mustafa Tevfik Kartal; Dilvin Taşkın; Serpil Kılıç Depren; Piotr F. Borowski; Mert Sarioglu; Taskin, Dilvin; Sarioglu, Mert; Kılıç Depren, Serpil; Depren, Serpil Kilic; Kartal, Mustafa Tevfik; Borowski, Piotr F.
    This study analyzes the impact of critical factors (i.e. energy consumption (EC) income (GDP) geopolitical risk (GPR) energy transition and energy prices). In doing this the study focuses on Brazil Russia India China and South Africa (BRICS) countries which are the leading emerging countries considers carbon dioxide (CO2) emissions industry power and transport sectors uses yearly data from 2000 to 2022 and performs a kernel-based regularized least squares (KRLS) approach to uncover the marginal impact of the factors. The outcomes demonstrate that (a) the impacts of the factors on sectoral CO2emissions vary marginally across economic sectors factors used and levels of the variables, (b) the statistical significance of the factors considered differentiate which implies that some factors are much more critical than others across countries and sectors, (c) for industry sector CO2emissions Brazil can benefit from the marginal decreasing impact of gas and renewable EC GDP and GPR whereas it is valid in Russia (South Africa) for gas (GPR and energy prices) impact, (d) for power sector CO2emissions Brazil can use nuclear EC energy transition and energy prices whereas nuclear and renewable EC as well as GDP and GPR (renewable EC and GPR) is beneficial for Russia (South Africa), (e) for transport sector CO2emissions GPR (renewable EC) can be relied on in Brazil (Russia), and (f) the KRLS approach has a superior prediction capacity reaching 99.8%. Overall the study empirically shows the varying marginal impacts of the factors on the decarbonization of the sectors. © 2025 Elsevier B.V. All rights reserved.
  • Thumbnail Image
    Article
    Citation - Scopus: 1
    Experimental analysis of the bending behaviour of woods with kerf-cutting technique, Kerf-kesme tekniği uygulanmış ahşapların eğilme davranışının deneysel analizi
    (Bekir Cihad Bal, 2025) Gökçe Kırkpınar; Yenal Akgün; Matthieu Pedergnana; Pedergnana, Matthieu Joseph; Akgün, Yenal; Kırkpınar, Gökçe
    Wood has been recognised for its ecological benefits and lightness throughout history. Its flexibility can be significantly enhanced when processed with proper techniques inspiring various architectural products and furniture. This study aims to investigate the bending capacity of different natural wood samples made flexible using the kerf-cutting technique and the maximum load they can bear at their maximum bending capacity. Although there are studies on how kerf-cutting techniques can increase the flexibility of various wood products the relationship between the bending capacity provided by the kerf technique and load-bearing capacity has not been examined making this study original. The paper first examines the general physical properties and bending capacities of different wood types. Then a two-stage experimental study is presented. The first step discusses the effects of different kerf-cutting techniques on wood flexibility. The bending and load-bearing capacities of three different types of wood are investigated in the second step. Results indicate that ash has the highest flexibility while walnut demonstrates greater load-bearing strength than ash making it suitable for designs requiring higher strength. © 2025 Elsevier B.V. All rights reserved.
  • Thumbnail Image
    Conference Object
    Machine Learning-Driven Clustering Based Environmental, Social, and Governance Performance Prediction Model
    (Springer Science and Business Media B.V., 2026) Sarioglu, Mert; Sariyer, Gorkem; Ramtiyal, Bharti