Gizem Kayişoğlu is an Assistant Professor in the Department of Maritime Transportation and Management Engineering at Istanbul Technical University. Her research focuses on cybersecurity challenges in maritime systems, human error probability, and risk assessment methodologies. She actively explores vulnerabilities in shipboard systems such as ECDIS, VDR, and radar while emphasizing regulatory compliance and maritime safety standards. Her work integrates frameworks like CORAS, Fuzzy FUCOM, and SLIM to address cybersecurity dynamics and human factors in maritime operations. Key collaborations involve analyzing ransomware threats, AIS system vulnerabilities, and port infrastructure protection through interdisciplinary approaches. Her articles highlight trends in maritime cybersecurity, including ransomware mitigation, cyber hygiene practices, and critical infrastructure protection. She has contributed to developing risk assessment tools and checklists tailored for maritime environments, emphasizing both technological and human aspects of safety. No scientific awards have been explicitly mentioned. She has not listed formal advisees, and her professional activities focus on advancing maritime cybersecurity through academic and applied research.
Pelin Bolat is an Associate Professor in the Department of Fundamental Sciences at Istanbul Technical University (ITU), College of Maritime Studies. She is actively engaged in maritime cybersecurity, risk assessment, and maritime safety research. Her work is supported by multiple BAP and EU-funded projects, with ongoing research extending into 2025. Her research interests include cybersecurity in maritime navigation systems, dynamic positioning, port state control, and GHG emissions in the maritime sector. She applies advanced methodologies such as fuzzy FUCOM, CORAS framework, and association rule mining to analyze cyber and operational risks. Her recent publications (2023–2025) reflect a strong trend in maritime cybersecurity, focusing on ECDIS, RADAR, ransomware, and cyber hygiene. These works span high-impact journals in maritime engineering and technology, demonstrating interdisciplinary engagement with computer science, safety engineering, and policy analysis. She serves as a principal investigator on several key projects, including cyber risk assessment of bridge navigation equipment and system dynamic modeling of maritime GHG emission measures. She also mentors 15 theses in progress, indicating her active role in student supervision. Her collaborative network includes researchers like Gökhan Kayişoğlu and international partners. While no formal awards are listed, her leadership in EU and BAP projects underscores her academic prominence.
Doç. Dr. Muhammed Aras is an Associate Professor in the Department of Mechanical Engineering at Baskent University (Başkent Üniversitesi), with a research focus on sustainable machining processes, tool wear monitoring, and surface roughness optimization. His work spans advanced manufacturing technologies, energy storage systems, and biomedical device design. PhD in Manufacturing Engineering (2018), Gazi Üniversitesi MSc in Mechanical Education (2013), Gazi Üniversitesi BSc in Mechanical Engineering (2010), Tabriz Islamic Azad University Research interests include sustainable machining (dry/hard turning, cooling-lubrication strategies), tool wear analysis (CBN, ceramic and coated inserts), and surface integrity optimization using AI-based methods (firefly algorithm, TOPSIS, Grey Relational Analysis). His 15 most recent articles (2017-2024) examine topics like: Surface roughness prediction in dry hard turning Energy storage technology viability assessments Cutting parameter optimization for various steels Acoustic/vibration monitoring in machining He has received scientific awards including the Teşvik Ödülü (Encouragement Award, 2015). His patent on an automatic orthognathic surgery articulator and book chapters on tool monitoring systems demonstrate his multidisciplinary impact.
Prof. Sadettin Emre Alptekin is a full Professor of Industrial Engineering at Galatasaray University, Faculty of Engineering and Technology, where he also serves as Vice Dean. Since joining the university as a research assistant in 2000, he has steadily advanced through the academic ranks, becoming an Assistant Professor (2006–2010), Associate Professor (2010–2023), and finally Professor in 2023. Education: PhD (Dr), Industrial Engineering, Istanbul Technical University, Institute of Science and Technology, 2001–2006 MSc, Industrial Engineering, Galatasaray University, Faculty of Engineering and Technology, 1999–2001 BSc, Industrial Engineering, Istanbul Technical University, Faculty of Management, 1995–1999 Languages: Advanced English (C1), Upper-Intermediate French (B2), Advanced German (C1) Research Interests: Prof. Alptekin’s research focuses on Computer Learning , Fuzzy Sets and Systems , and Decision Support Systems . His work integrates artificial intelligence, machine learning, and soft-computing techniques to solve complex industrial and managerial problems in areas such as supply chain management, quality function deployment, blockchain adoption, and mental-health prediction. Publication Trends: Across more than 50 refereed publications, Prof. Alptekin has consistently explored hybrid intelligent models that combine fuzzy logic, machine learning, and multi-criteria decision-making. Recent articles emphasize deep-learning-based anomaly detection in industrial time-series data, blockchain adoption in supply chains, and machine-learning applications in subjective well-being and mental-health modeling. Scientific Awards & Honors: No specific awards or medals are listed in the provided documents. Research Leadership & Funding: Since 2008 he has been the principal investigator (executive) of 12 nationally funded projects, covering topics such as Industry 4.0 sub-system design, Internet of Things applications, artificial neural networks in organizational decision-making, big-data analytics, and strategic decision processes. Graduate Advising: He has formally supervised at least 8 master’s theses and numerous undergraduate projects. Representative thesis titles include Gaussian-process-regression-based man-hour prediction, machine-learning-driven human-behavior modeling, recommender-system design for e-commerce, thyroid-nodule diagnosis from scintigraphic images, software-effort estimation via neural networks, spreadsheet heuristics for joint-replenishment problems, cross-selling decision systems in insurance, and profitability analyses of Turkish banks under disinflation. Laboratories & Teams: While no dedicated laboratory name is disclosed, his continuous role as Vice Dean and principal investigator implies active leadership of the Industrial Engineering department’s research clusters in intelligent systems and decision support technologies.
Prof. Dr. Seyhan ÖZTÜRK is an Associate Professor at Kafkas University's Faculty of Economics and Administrative Sciences, Department of Accounting. She has held full-time academic positions since 2010, progressing from Research Assistant to Associate Professor (2019–present). She also serves as the Head of the Accounting Department. Education: PhD in Accounting and Finance, Atatürk University (2011–2015) Master's in Business Administration, Istanbul University (2005–2011) Bachelor's in Business Administration, Istanbul University (2005–2009) Research Interests: Her work centers on Accounting Ethics, Forensic Accounting, and Internal Control, with applications in sustainability, corporate governance, and digital transformation. She explores ethical dilemmas in accounting, fraud detection methodologies, and the impact of regulatory frameworks on financial transparency. Publications: Her recent articles (2020–2025) emphasize sustainability accounting, financial performance analysis, and technology's role in accounting education. Themes include ESG metrics, bibliometric studies on climate accounting, and ethical challenges in SME financial reporting. Advising & Grants: She has supervised 16+ graduate students (PhD/Master’s) in topics like accounting ethics and financial modeling. She led a research project (2019–2021) testing bankruptcy prediction models on the Borsa Istanbul exchange.
Başar Öztayşi is a Professor at the Department of Industrial Engineering , Istanbul Technical University , with expertise in fuzzy logic, multi-criteria decision making, and decision science. He has held administrative roles including Associate Professor (2017–present), Deputy Director of the Institute (2016–2017), and Assistant Professor (2013–2017). Fields of Study : Fuzzy Logic, Multi-criteria Decision Making, Decision Science Contact : oztaysib@itu.edu.tr , +90 212 293 1300 Research Interests focus on applying fuzzy set theory to complex decision problems, including financial management, risk assessment, and smart city energy systems. His work extends to industry 4.0 applications and process mining in e-commerce. Recent Publications (2024) analyze fuzzy approaches in financial management, risk assessment, and Industry 4.0, with subfields spanning bibliometric trends, allocation optimization, and sustainable energy planning. Earlier works explore AHP matrix consistency, file distribution models, and customer segmentation. Awards : Best Paper Award, FLINS 2018 Science - Art Awards
Tuğba Dalyan is an Associate Professor in the Department of Computer Engineering at Istanbul Bilgi University, Faculty of Engineering and Natural Sciences. She holds a Ph.D. in Computer Engineering from Yıldız Technical University (2014), an MSc from Kocaeli University (2007), and dual BSc degrees in Mathematics and Computer Science and Business Administration (Minor) from Istanbul Bilgi University (2003). She has been a faculty member since 2016 and previously served as a Teaching Staff member and Research Assistant at the same institution. Her research focuses on Natural Language Processing , Machine Learning , Deep Learning , Text Mining , Data Science , and Big Data Analytics . Her work spans computational linguistics, sentiment analysis, author profiling, machine translation, and smart systems. She has led and contributed to numerous research projects, particularly in AI-driven urban solutions and health technologies. The most recent publications show a strong trend in Turkish NLP, zero-shot classification, multimodal AI (image captioning), emotional robotics, and decision support systems using fuzzy logic. Her work combines theoretical rigor with practical applications in smart cities, education, and healthcare. Best Paper Award , CICLing 2012 TÜBİTAK 2209-A student project awards (2022–2024) Horizon2020 Eşik Üstü Ödülü , MIMOSCSA 2024 TÜBİTAK 2242 competition: 2nd and 3rd place (2016, 2018) She has advised numerous student research projects, many of which have received national recognition. She has directed multiple TÜBİTAK and institutional research grants, including projects on smart homes, blockchain crowdfunding, mental health, and AI for social polarization. Her leadership roles include Head of Department, Vice Dean, and Director of Graduate Programs. Tuğba Dalyan leads research in AI and NLP with a strong emphasis on Turkish language technologies. She is involved in interdisciplinary teams working on emotional robots, smart city platforms, and citizen science ecosystems. Her lab activities focus on neural networks, text analysis, and intelligent systems development.
Assoc. Prof. Savaş DURMUŞ is affiliated with Kafkas University , where he has held the position of Associate Professor in the Department of International Trade and Logistics since 2021. He previously served as a Department Head (2019–present) and Deputy Institute Director (2012–2015). His academic journey includes a PhD in Economics (2007–2011) and MSc in Business Administration (2001–2004) from Turkish institutions. Education : PhD, Economics, Celâl Bayar University (2007–2011) MSc, Business Administration, Selçuk University (2001–2004) BA, Business Administration, Atatürk University (1988–1993) Research Interests focus on Development Economics , Macro Economics , and Business Cycles , with a strong emphasis on empirical analysis of economic policy, international trade, and financial systems. His work spans topics like tourism economics, energy sector performance, and regional development. Scientific Contributions include 15+ peer-reviewed articles (2020–2024) on themes such as financial development, Dutch disease, and Industry 4.0. He has co-authored studies on tourism’s impact on growth and cross-country analyses of economic complexity. Editorial Work includes roles as editor for international books like Banka ve Finansal Sistem (2016) and Analysis of Economics Applications (2023). He has collaborated extensively with academics such as Dilek Şahin (27 joint publications) and Hasan Ayaydın (17 joint publications).
Prof. Cengiz Kahraman is a Professor in the Department of Industrial Engineering at Istanbul Technical University (ITU). He holds a PhD in Industrial Engineering from ITU and has held numerous academic and administrative roles, including Head of Department (2010–2013) and Vice Dean (2004–2008). His research focuses on fuzzy logic, multi-criteria decision making, engineering economics, and statistical analysis. He has supervised over 60 theses and led projects funded by TUBITAK and private institutions, including studies on fuzzy decision support systems, warranty cost analysis, and performance evaluation systems. Education: PhD in Industrial Engineering, Istanbul Technical University (1992–1996) MSc in Industrial Engineering, Istanbul Technical University (1988–1990) BSc in Industrial Engineering, Istanbul Technical University (1984–1988) Research Interests: Fuzzy logic extensions (e.g., spherical, Pythagorean, neutrosophic sets) Multi-criteria decision-making methodologies (AHP, TOPSIS, VIKOR) Applications in supply chain management, sustainability, and engineering economics Key Awards: Applied Soft Computing Journal Best Paper Award (2024) ITU Engineering Science Award (2023) TUBITAK Science Award (2018) Memorial Da Ruan Award (2014) Recent Projects: Intelligent multi-criteria legal tracking systems Fuzzy inference techniques for debt collection optimization Social innovation platforms for education volunteers Warranty cost modeling for Arçelik products Grants & Advising: Recipient of multiple TUBITAK Publication Incentives (2011–2015) Advisor to over 60 graduate students in fuzzy decision-making and engineering Directed projects totaling over ₺1.2 million in funding Labs/Teams: Leads research groups focusing on fuzzy decision systems and sustainable engineering solutions.
Dr. Eren Kamber is a Researcher at the Department of Industrial Engineering, Rafet Kayış Faculty of Engineering, Alanya Alaaddin Keykubat University. His roles include academic teaching and research in production management, supply chain logistics, and fuzzy decision-making methodologies. He holds a PhD in Industrial Engineering from Istanbul Technical University and has conducted postdoctoral research at the same institution. Education: PhD in Industrial Engineering, Istanbul Technical University (2019) MSc in Industrial Engineering, Alanya Alaaddin Keykubat University (2017) BSc in Industrial Engineering, Istanbul Technical University (2004) Research Focus: Dr. Kamber specializes in multi-criteria decision-making frameworks, fuzzy logic applications, and Industry 4.0 integration. His work addresses sustainable agriculture systems, green logistics optimization, and supply chain resilience. Notable projects include irrigation pump prioritization models and circular economy-driven logistics park location analyses. Grants & Advising: He has led several research projects on decision-making methodologies and advised multiple collaborative studies with industry partners. His work often involves cross-disciplinary collaborations with agricultural and environmental sectors. Labs/Teams: Active in the university's Industrial Engineering Research Group, focusing on advanced decision support systems and smart manufacturing solutions.
Burhaneddin İzgi serves as an Associate Professor in the Department of Mathematics Engineering at Istanbul Technical University, where he maintains an active research profile with projects extending through 2025. His work bridges theoretical mathematics with computational applications, particularly in game-theoretic problem solving. Research interests center on Game Theory and Stochastic Differential Equations, with specialized focus on matrix norm-based solution methods for zero-sum, fuzzy, and stochastic matrix games. Recent work integrates Artificial Intelligence techniques to address large-scale game complexity, reflecting interdisciplinary innovation across Numerical Analysis and Fuzzy Mathematics. Article trends (2022-2025) reveal consistent advancement of matrix norm methodologies across diverse game types, increasingly incorporating machine learning for computational efficiency. Publications demonstrate strong theoretical grounding in Mathematics while addressing practical applications in finance (e.g., IPO modeling) and decision systems. Scientific recognition includes: 2210 - Yurt İçi Yüksek Lisans Burs Programı (2008) 2211 - Yurt İçi Doktora Burs Programı (2010) Matematik Bölüm Birinciliği (2008) Üniversite İkinciliği ödülü (2008) Research funding includes TUBITAK-supported projects such as 'Stokastik Oyunlar İçin Matris Norm Tabanli Yeni Çözüm Yöntemleri Ve Yapay Zeka Uygulamalari' (2021-2023) and current grants developing chaos theory approaches for stochastic matrix games (2024-2025), demonstrating sustained external validation of his research program.
Assoc. Prof. Dr. Adem YOLCU is an active faculty member at Kafkas University's Faculty of Arts and Sciences, Department of Mathematics, specializing in advanced topological structures with applications in decision-making systems. Holding a PhD in Mathematics from Kafkas University (2020), he has established himself as a leading researcher in fuzzy topology and soft set theory. PhD in Mathematics (2020), Kafkas University Master's in Mathematics (2016), Kafkas University Bachelor's in Mathematics (2014), Kafkas University His research focuses on the intersection of topology, fuzzy logic, and decision theory, particularly exploring neutrosophic soft sets, hypersoft topological spaces, and their applications in multi-criteria decision-making problems. His work bridges theoretical mathematics with practical computational applications in risk assessment and building safety analysis. Recent publications demonstrate a consistent trajectory in developing novel frameworks for fuzzy parameterized systems, with 15+ articles published between 2019-2024 in SCI/ESCI-indexed journals. His work shows particular strength in extending classical topological concepts to neutrosophic and Pythagorean fuzzy environments. As an academic advisor, he has supervised Master's research including Büşra Aka's thesis on neutrosophic soft multisets. His collaborative network spans international researchers including Taha Yasin Öztürk (60+ joint publications), Florentin Smarandache, and Sadık Bayramov. His research group focuses on computational topology applications, with particular emphasis on developing mathematical frameworks for uncertainty handling in decision support systems. Current projects include hypersoft set applications in sustainable security systems and Fermatean fuzzy topological structures.
Prof. Dr. Kumru Didem Atalay is a distinguished academic at Başkent University, specializing in Industrial Engineering . With a PhD in Statistics from Ankara University (2007), she has made significant contributions to Operations Research , Fuzzy Logic , and Decision Support Systems . Her work bridges statistical analysis with real-world applications in healthcare logistics, pandemic response, and manufacturing optimization. Education: PhD (2007), MS (2000), BS (1998) in Statistics from Ankara University Current Role: Professor in Industrial Engineering at Başkent University Her research focuses on stochastic processes , fuzzy modeling , and healthcare operations , particularly in pandemic-era service quality and microchannel manufacturing. She has developed innovative methods for project scheduling , risk analysis , and multi-criteria decision-making . Recent publications examine Covid-19's impact on education quality and fuzzy linear programming for project scheduling . She applies intuitionistic fuzzy models to optimize manufacturing systems and hesitant fuzzy regression for pandemic death count estimation. Scientific recognition includes a Runner-up Prize at the 15th ICMSEM (2021) and a Bronze Medal at ISIF21 (1970). She supervises advanced research on topics like multi-trip home healthcare routing and fuzzy quality function deployment .
Veysi Başhan serves as an Assistant Professor in the Department of Marine Engineering within the Faculty of Naval Architecture and Ocean Engineering at Istanbul Technical University (ITU). His academic profile demonstrates active engagement in maritime engineering research with current publications extending through 2025 and an active research project on hybrid renewable energy systems analysis. Professor Başhan's research spans critical maritime engineering domains with particular emphasis on renewable energy integration, risk assessment methodologies, and marine propulsion systems. His work innovatively combines fuzzy logic, Bayesian networks, and multi-criteria decision-making approaches to address complex challenges in maritime operations, energy systems, and safety protocols. This interdisciplinary approach bridges traditional marine engineering with modern computational techniques for risk analysis and system optimization. His publication portfolio reveals a clear trajectory toward sustainable maritime technologies, with increasing focus on wind-solar hybrid systems, alternative fuels like methanol, and autonomous navigation reliability. The research demonstrates consistent application of fuzzy-based analytical frameworks across diverse maritime contexts from engine performance to ballast water treatment systems. Current research activities include the 2024 project "Hibrit Yenilenebilir Enerji Sistemlerinde Arızaların Analizi ve Çözüm Önerileri" (Analysis of Failures in Hybrid Renewable Energy Systems and Solution Proposals), indicating ongoing commitment to solving practical engineering challenges in renewable energy integration for maritime applications. His scholarly impact is evidenced by 32 research outputs, 366 Scopus citations, and an h-index of 9.
Cafer Erhan Bozdağ is an Assistant Professor at Istanbul Technical University (ITU), affiliated with both the Department of Business Administration and the Department of Industrial Engineering. He holds a PhD in Industrial Engineering from ITU (1994) and has been a lecturer since 1989. His expertise spans operations research, supply chain management, and decision-making systems, with a focus on fuzzy logic applications, simulation modeling, and risk assessment. Education: PhD in Industrial Engineering, ITU (1994) Master's in Industrial Engineering, ITU (1988) Bachelor's in Industrial Engineering, ITU (1984) Research Interests: Dr. Bozdağ's work integrates interdisciplinary approaches to solve complex industrial and business problems. He has pioneered studies in supply chain risk management, agent-based modeling for social behaviors (e.g., organ donation dynamics), and simulation techniques for pedestrian flow optimization (e.g., ITU Science Center design). His fuzzy multi-criteria decision-making frameworks have been applied to new product development risk assessment and job evaluation systems in the metal industry. Projects & Contributions: Lead researcher on projects like the Metal Industry Work Grouping System (MESS) and a Fuzzy Group Decision Making Approach for Supply Chain Risk Assessment (2015–2021). Developed simulation models for microgrid market design, arterial reconstruction, and lean production systems. Advising & Mentoring: Supervised over 20 graduate theses since 2004, covering topics from ATM cash optimization to technology strategy in defense industries. Notable advisees include Zeynep Arslan (Scrum team performance analysis) and Yakup Turgut (machine learning-driven agent-based models). Labs/Teams: Active in ITU's Industrial Engineering and Business Administration research groups, focusing on systems analysis, decision support systems, and applied operations research.
