جست‌وجوی استاد و پژوهشگر

• Electrical Machines and Energy Conversion
• Control Theory and Applications
• Electric Motor Drives
• +۱ مورد دیگر

Uğur Ufuk KÖRPE serves as a full-time Researcher in the Department of Electrical and Electronics Engineering at Ahi Evran University's Faculty of Engineering and Architecture since 2021. His academic foundation includes comprehensive education from Karabük University across all degree levels. Academic Background: PhD in Electrical and Electronics Engineering (2022), Karabük University MSc in Electrical and Electronics Engineering (Thesis, 2020-2022), Karabük University BSc in Electrical and Electronics Engineering (2015-2020), Karabük University Specializing in Electrical Machines and Energy Conversion with emphasis on Control Theory and Applications, Dr. KÖRPE's research focuses on advanced control methodologies for electric motors. His work addresses critical challenges in motor drive systems including parameter variations, magnetic saturation effects, and thermal dependencies through innovative predictive and adaptive control frameworks. Current investigations integrate machine learning techniques with traditional control paradigms to enhance motor performance in electric vehicle applications. Publication analysis reveals concentrated expertise in model predictive control (MPC) variants for permanent magnet and induction machines, with recent work (2021-2025) demonstrating progressive sophistication from basic MPC implementations to reinforcement learning-enhanced adaptive systems. Key thematic developments include unscented Kalman filter integration for real-time parameter estimation and deep reinforcement learning for handling nonlinear motor characteristics. Research Funding: Principal Researcher for ‘Speed Control Implementation in Brushless AC Motors’ (2022-2023), funded by Higher Education Scientific Research Projects Collaborative work primarily occurs with Karabük University researchers including Ozan Gülbudak and Mustafa Gökdað, forming a consistent research team across six publications between 2021-2025. Current investigations focus on robust control solutions for electric vehicle propulsion systems under varying operational conditions.

Erhun Kundakcıoğluمشاهده پروفایل

استاد

• Combinatorial Optimization
• Decision Analytics
• Supply Chain Management
• +۹ مورد دیگر

Erhun Kundakcıoğlu is a Professor in the Department of Industrial Engineering at Ozyegin University's Faculty of Engineering. He received his Ph.D. in Industrial and Systems Engineering from the University of Florida (2009) with a minor in Computer and Information Science and Engineering, following an M.S. in Industrial Engineering at Sabancı University (2004) and B.S. at Bilkent University (2002). He served as Assistant Professor at University of Houston (2009-2013) and Director/Distinguished Scientist at Optym (2019-2021). Ph.D.: Industrial and Systems Engineering, University of Florida (2009) M.S.: Industrial Engineering, Sabancı University (2004) B.S.: Industrial Engineering, Bilkent University (2002) His research focuses on combinatorial optimization and decision making under uncertainty , with applications in healthcare analytics , sustainable energy systems , supply chain management , and data science . He has developed optimization models for inventory control, lot sizing, and routing problems under uncertain demand/supply conditions, particularly in healthcare and humanitarian contexts. His work with the Datart Lab integrates mathematical programming into practical solutions for industry partners. Recent publications highlight his expertise in disaster relief inventory simulation, healthcare inventory management, and time series decomposition optimization. He supervises active graduate students including Deniz N. Yoltay (Ph.D.) and Buket İpek Akbal (M.S.). Early Career Award, TUBITAK Teaching Excellence Award, University of Houston Florida Chapter Scholarship, HIMSS Foundation As Associate Editor for the Journal of Global Optimization , Optimization Letters , and SN Operations Research Forum , he contributes to academic discourse in optimization and analytics. His consulting firm Datart R&D Management Consulting bridges academic research with industry applications in Turkey and abroad.

• Biomedical Engineering
• Bioelectronics
• Artificial Intelligence
• +۳ مورد دیگر

Rüştü Murat Demirer serves as an Assistant Professor in the Department of Electrical and Electronics Engineering at Işık University's Faculty of Engineering and Natural Sciences. His academic career spans decades with active teaching responsibilities including Biomedical Engineering courses such as Clinical Care Informatics, Biosignal Processing, and Medical Imaging since at least 2012 across multiple institutions including Işık University and Bahçeşehir University. His educational foundation includes: PhD in Biomedical Engineering from Boğaziçi University (1983-2002) MS in Energy from Istanbul Technical University (1980-1982) BS in Electronics and Communications Engineering from Kocaeli University (1976-1980) Dr. Demirer's research integrates Biomedical Engineering with cutting-edge computational neuroscience, focusing on Bioelectronics, Artificial Intelligence applications, and Neuroscience. He pioneers methodologies for analyzing brain dynamics through EEG/ECoG signal processing, entropy-based biomarker development, and machine learning algorithms for neurological and psychiatric conditions. His work bridges theoretical neuroscience with clinical applications in epilepsy, bipolar disorder, and brain-computer interfaces. Analysis of his publication trends reveals strong interdisciplinary convergence between neuroscience, biomedical engineering, and artificial intelligence. Key methodological themes include Hilbert transform applications, nonlinear dynamics in brain signals, entropy quantification for psychiatric diagnostics, and hybrid machine learning approaches for medical signal classification. This research trajectory demonstrates consistent innovation in translating complex brain signal analysis into clinically relevant diagnostic tools. Dr. Demirer has actively mentored 11 graduate students (10 Master's and 1 PhD) between 2013-2025. His advisees' research spans diverse applications including: Machine learning for cybersecurity threat detection Cryptocurrency market analysis using predictive modeling EEG/eye-tracking fusion for cognitive decision studies Medical diagnostics through convolutional neural networks Natural language processing for offensive language detection He maintains professional engagement as a member of the Chamber of Electrical Engineers (Elektrik Mühendisleri Odası) while teaching specialized courses across biomedical engineering, cybersecurity, and data science domains.

Erhan Budakمشاهده پروفایل

استاد

• Manufacturing processes
• Machining and machine tools
• Machine dynamics
• +۵ مورد دیگر

Erhan Budak is a Professor at Sabanci University's Faculty of Engineering and Natural Sciences, specializing in manufacturing engineering. With a Ph.D. in Mechanical Engineering from the University of British Columbia, he has held academic positions since 1994 and founded Maxima Manufacturing R&D in 2008. His work focuses on machining dynamics, tool design, and manufacturing process optimization. Sabanci University (2011-Present: Professor; 2004-2011: Associate Professor; 2000-2004: Assistant Professor) Pratt & Whitney Canada (1994-2000: Manufacturing R&D Engineer) Founder of Maxima Manufacturing R&D (2008) Research Interests: Manufacturing processes, machining dynamics, tool design optimization, chatter stability analysis, virtual manufacturing systems, and thermo-mechanical modeling. His publications demonstrate expertise in 5-axis milling, process damping, and industrial applications. Scientific Contributions: Developed analytical methods for chatter stability prediction Innovative tool design approaches for increased productivity Advancements in 5-axis machining simulations Thermo-mechanical force modeling Process damping identification techniques Awards: CIRP Taylor Medal (2003) Outstanding Achievement Award from Pratt & Whitney Canada (1998) Multiple scholarships from UBC and TUBITAK Industrial Applications: Collaborates with Maxima Ltd. for implementing research outcomes in manufacturing environments. Maintains editorial roles with CIRP Journal, International Journal of Advanced Manufacturing Technology, and Journal of Machining Science and Technology.