Professor Ulku Gurler is a full-time faculty member in the Industrial Engineering Department at Bilkent University, Turkey. Her academic specialization includes Statistics and Applied Statistics, with a focus on developing quantitative methods for industrial systems. Education: PhD, Statistics, University of Pennsylvania MS, Statistics, University of Pennsylvania BS, Statistics, Middle East Technical University High School, TED Ankara College Research Interests: Professor Gurler's research integrates statistical theory with industrial engineering challenges. Key areas include: Stochastic modeling of inventory/maintenance systems Bayesian methods for inventory optimization Nonparametric estimation techniques Reliability and survival analysis frameworks Statistical methods for censored/truncated data Her work supports decision-making in complex industrial environments. Teaching: She delivers courses spanning stochastic modeling, quality control, and research methodologies, including: Stochastic Processes & Models Forecasting Methods and Applications Quality Assurance and Reliability Advanced Statistics Research Practice in IE/OR Contact: EA316 Building, Bilkent University, Ankara 06800, Turkey. Email: ulku@bilkent.edu.tr | Phone: (+90 312) 2901520 | Fax: (+90 312) 2664958
Dr. Müslüm Erol serves as Assistant Professor at Bingöl University's Technical Sciences Vocational School since 2019, following eight years as Lecturer at the same institution. His academic career bridges substantial industry experience including Quality Assurance Manager at Casa EGYPT (Cairo), Planning/Factory Manager at Sad Textile (Istanbul), and Production Planning Manager at Boren Textile. His educational foundation includes: Licence in Textile Engineering from Suleyman Demirel University (2003) Degree in Textile Engineering from Erciyes University (2013) Doctorate in Textile Engineering from Erciyes University (2019) Dr. Erol's research pioneers sustainable textile innovation through chicken feather valorization for acoustic materials and composite structures, while optimizing garment production processes. His work uniquely connects industrial textile manufacturing challenges with advanced material science, particularly in nanofiber applications for medical textiles and sustainable alternatives to conventional materials. This practical-theoretical synergy defines his contribution to circular economy approaches in textile engineering. His publication trajectory reveals increasing focus on sustainable materials since 2018, with recent work concentrating on feather-based composites, nanofiber production parameters, and acoustic properties of textile structures. The research demonstrates consistent industrial relevance through labor cost analysis, defect reduction systems, and technology adoption studies in garment manufacturing. Dr. Erol actively secures research funding as principal investigator for Bingöl University projects while collaborating on Erciyes University research and European Union initiatives. His project portfolio balances fundamental material science (nanofiber development) with immediate industry applications (workforce development, production optimization), reflecting his dual academic-industry perspective. He serves as referee for multiple engineering journals including Türk Doğa ve Fen Dergisi and Çukurova Üniversitesi Mühendislik Fakültesi Dergisi.
Romain Duboscq is a Lecturer at the National Institute of Applied Sciences (INSA) in Toulouse and a member of the Institute of Mathematics of Toulouse (IMT). He is affiliated with Paul Sabatier University (University Toulouse III) as evidenced by his contact information at the Toulouse Institute of Mathematics. His research spans several interconnected areas in mathematical physics: Analysis and numerical simulation of partial differential equations related to quantum mechanics Numerical methods for Gross-Pitaevskii type equations in Bose-Einstein condensates Stochastic Schrödinger equations and their numerical approximation Cauchy problem for stochastic Gross-Pitaevskii equations Stochastic regularization effects and the Itô-Tanaka trick Minimization of quantum entropies under local constraints Duboscq has developed the GPELab toolbox, a free-access Matlab resource for solving Gross-Pitaevskii equations, in collaboration with Xavier Antoine. His research often addresses challenging cases with strong nonlinearity and fast rotation in quantum systems. His work demonstrates a consistent integration of theoretical analysis with practical computational methods, making contributions to both fundamental understanding and applied methodology in quantum mechanical systems. His publication record shows sustained productivity across prestigious journals including Journal of Mathematical Physics, Annales Henri Lebesgue, and ESAIM: Mathematical Modelling and Numerical Analysis. The recent publications (2022-2025) demonstrate continued engagement with multiple research threads, particularly in quantum PDEs, stochastic methods, and computational approaches to quantum systems. Duboscq has received recognition through numerous publications in high-impact journals: Multiple publications in Annales Henri Lebesgue (2022) Work published in Journal of Mathematical Physics (2022) Contributions to ESAIM: Mathematical Modelling and Numerical Analysis (2025) Publications in Annals of Probability (2025) Research in Journal of Functional Analysis (2021) Duboscq maintains active research collaborations with several prominent researchers including Xavier Antoine, Christophe Besse, Renaud Marty, Anthony Réveillac, and Olivier Pinaud. His GPELab toolbox represents a significant contribution to computational tools for quantum physics research. While specific student supervision details aren't provided in the available information, his numerous collaborations suggest an active mentoring role in the research community. Duboscq leads the GPELab research group, which focuses on developing numerical methods and computational tools for quantum mechanical systems, particularly Bose-Einstein condensates modeled by Gross-Pitaevskii equations. The group's work bridges theoretical mathematics with practical computational applications, providing resources that enable more accurate simulations of complex quantum phenomena.
Professor Mehmet Güray Güler holds a faculty position at Istanbul Technical University (ITU) in the Department of Data Science and Analytics within the School of Business. Previously, he served as Professor in ITU's Department of Industrial Engineering (2024) and held progressive academic appointments at Yildiz Technical University from Research Assistant (2005-2013) to full Professor (2022-2024). His educational background includes a PhD in Industrial Engineering from Boğaziçi University (2005-2012), preceded by Master's (2003-2005) and Bachelor's degrees from the same institution. Professional experience includes R&D Manager at Lojika Information Technologies (2014-2015). Research focuses on Modeling and Optimization , Machine Learning , and Operations Research with specific applications in hydrogen supply chains, renewable energy systems, and stochastic optimization. Recent work demonstrates strong emphasis on Turkey's energy transition, with multi-objective models for hydrogen infrastructure and electricity market strategies. Publication trends show increasing focus on sustainable energy systems since 2020, with significant contributions to hydrogen logistics (60% of recent publications) and machine learning applications in energy markets (25%). Key methodological approaches include stochastic programming, multi-objective optimization, and neural network integration. Award highlights: Operations Research Association Member (2006-present) Current research leadership includes the active project Türkiye Hidrojen Tedarik Zinciri Ağı: Strateji ve Politikalar (2024-2026) as Principal Investigator. Grant activities focus on national energy infrastructure development with strong industry-academia collaboration. Laboratory work centers on energy systems modeling with computational infrastructure for large-scale stochastic optimization. Current team focuses on hydrogen economy transition strategies for Turkish national policy development.
