جست‌وجوی استاد و پژوهشگر

Muzaffer Akatمشاهده پروفایل

مدرس

• Mathematical Finance
• Probability Theory
• Financial Engineering
• +۳ مورد دیگر

Muzaffer Akat is a Lecturer in the Department of Finance at Özyeğin University’s Faculty of Business Administration. He holds a Doctorate in Mathematics (Stanford University, 2007), a Master’s in Mathematics (Stanford University, 2003), and a Bachelor’s in Mathematics (Boğaziçi University, 1999). Academic Roles: Teaching Probability for Social Sciences (MATH201), Financial Engineering I (FERM505), and Financial Engineering II (FERM506). Research Interests Muzaffer Akat’s research integrates mathematical finance , probability theory , and stochastic processes to analyze derivatives pricing , credit risk modeling , and stochastic volatility frameworks . His work often bridges pure mathematics (e.g., partial differential equations) with practical financial applications such as algorithmic trading, statistical arbitrage, and numerical methods for complex financial systems. Publication Trends His publications focus on stochastic models in finance, numerical integrators for financial and physical systems (telegraph/hyperbolic equations), and algorithmic trading strategies . Key subfields include fuzzy logic in financial inference , credit risk valuation , and computational methods for stochastic dynamics . Education PhD in Mathematics (Stanford, 2007) MS in Mathematics (Stanford, 2003) BS in Mathematics (Boğaziçi, 1999)

• Hydrology
• Stochastic Modeling
• Water Resources Management
• +۴ مورد دیگر

Bertuğ Akıntuğ is a faculty member in the Department of Civil Engineering at Middle East Technical University, Northern Cyprus Campus. His research focuses on stochastic modeling in hydrology, particularly drought analysis and climate regime shifts. His work includes theoretical and applied studies on Markov-Switching (MS) models for hydrologic time series, comparing their performance with ARMA models in capturing multiyear drought patterns. He has developed innovative disaggregation methods for monthly streamflow simulation and quantified uncertainties in energy drought frequency analysis using Bayesian inference and MCMC techniques. Key publications highlight MS model applications in Manitoba Hydro's hydropower system, emphasizing the importance of reproducing natural flow cycles and addressing parameter/data uncertainties in extreme drought assessments. His research contributes to improving synthetic hydrology methods for water resource management.

Alaattin Kaçalمشاهده پروفایل

استاد

• CAD/CAM
• Computer-aided design and manufacturing
• Machining
• +۶ مورد دیگر

Professor Alaattin Kaçal is a distinguished academic at Kütahya Dumlupınar University's Simav Faculty of Technology, where he serves as Professor of Mechanical Engineering. With a career spanning over two decades, he has progressed through the academic ranks from Research Assistant to his current position as Professor, while also taking on significant administrative responsibilities including Director of Simav Vocational School and Head of Department. Professor Kaçal's educational background includes a Bachelor's degree in Mechanic Education (1994-1998), Master's degree in Mechanical Education (1999-2002), and PhD in Machine Training (2003-2008), all completed at Turkish institutions. His academic journey has been primarily centered at Dumlupınar University, with a notable period at Gazi University during his doctoral studies. His research focuses on CAD/CAM, machining processes, cutting mechanics, and the machinability of engineering materials, with recent emphasis on additive manufacturing technologies. Professor Kaçal has led multiple significant research projects investigating drilling and milling of advanced materials, particularly titanium alloys produced through additive manufacturing methods. With 44 publications to his name, his recent work demonstrates consistent scholarly output in areas related to surface roughness analysis, tool wear mechanisms, and sustainable machining techniques using Minimum Quantity Lubrication. His research employs experimental methodologies combined with statistical analysis, frequently utilizing Taguchi method and increasingly incorporating artificial intelligence techniques for modeling and prediction. As an educator, Professor Kaçal teaches core mechanical engineering courses including Computer-Aided Manufacturing, Manufacturing Technologies, and Machinability of Engineering Materials, while supervising graduate thesis work. His administrative roles reflect his leadership within the institution, contributing to both academic and operational aspects of the faculty.

Cansu Bahçeciمشاهده پروفایل

استادیار

• Econometrics
• Statistics
• Applied Statistics
• +۳ مورد دیگر

Cansu Bahçeci serves as a Research Assistant (academic rank equivalent to Assistant Professor) at Aydın Adnan Menderes University within the Faculty of Political Sciences, holding dual appointments in the Department of Econometrics and Department of Statistics. Her academic credentials include: Bachelor's degree in Statistics from Cukurova University, Faculty of Arts and Sciences (2010-2014) Double major Bachelor's degree in Econometrics from Cukurova University, Faculty of Economics and Administrative Sciences (2010-2014) Master's degree in Econometrics (with thesis) from Cukurova University, Institute of Social Sciences (2015-2018) Doctorate in Econometrics from Dokuz Eylul University, Faculty of Economics and Administrative Sciences (2018-2024) Her research focuses on econometric modeling and statistical methodologies, with particular emphasis on time series analysis and economic data applications. This specialization aligns with her educational background in both Statistics and Econometrics, suggesting expertise in quantitative economic analysis and predictive modeling techniques. As a recent PhD graduate (2024), she is establishing her independent research trajectory. Current information indicates no documented supervision of graduate students or active grant funding in the available records.