جستجوی استاد راهنمای دانشگاهی

• Education
• Preschool Education
• Social Sciences
• +۵ مورد دیگر

Assoc. Prof. Şule Erden Özcan is an academic at Çukurova University, Faculty of Education, Department of Basic Education, Preschool Teaching Department. She holds a PhD in Preschool Education and has been active in academia since 2000. Çukurova University (2023–present), Associate Professor Çukurova University (2014–2017), Lecturer Research Interests: Focused on early childhood education, attachment theory, socio-cultural contexts, gender perceptions, and STEM integration in preschool settings. Recent Publications: 15 peer-reviewed articles (2002–2025) exploring theory of mind, refugee child education, media impact, and geometric transformations in preschoolers. Scientific Awards: Cahit Arf Publication Encouragement Award (2022) Supervised Theses: Mentored 10 graduate students in topics ranging from creativity in preschool STEM to refugee child integration. Projects: Led TUBITAK-funded initiatives on seasonal migrant education, teacher burnout, and geometric cognition in children.

Tuğrul TAŞCIمشاهده پروفایل

استادیار

• Artificial Intelligence
• Natural Language Processing
• Computer Vision
• +۳ مورد دیگر

Tuğrul TAŞCI serves as an Assistant Professor in the Department of Information Systems Engineering at Sakarya University's Faculty of Computer and Information Sciences, where he has maintained continuous academic service since 2001. His career progression includes Research Assistant positions across multiple university units before advancing to his current faculty role in 2016. His academic credentials include: Doctorate in Computer and Information Engineering (2014) from Sakarya University Institute of Science, thesis: Real-Time Motion Tracking with Particle Filtering Based on Data Fusing Master's degree in Computer and Information Engineering (2004) with thesis: Design of an Integrated Web-Based Distance Education System Bachelor's degree in Computer Engineering (2001) with thesis: Course Scheduling with Genetic Algorithms Dr. TAŞCI's research centers on Artificial Intelligence applications, particularly Natural Language Processing for Arabic text and Computer Vision . His work integrates particle filtering , data fusion , and optimization algorithms (e.g., Artificial Bee Colony, Firefly) to solve problems in text summarization, motion tracking, and image processing. Recent publications demonstrate expansion into deep learning for industrial defect detection and time series analysis. Analysis of his 2019-2024 publications reveals three dominant research trajectories: (1) Arabic NLP with focus on extractive summarization using PageRank and word embeddings, (2) Computer vision systems for motion tracking and text detection leveraging particle filters and curvature features, and (3) Hybrid optimization techniques applied to diverse domains from emergency management to customer churn prediction. Current academic advising activities and research grant details are not publicly documented in available sources. Similarly, no institutional laboratories or research teams are explicitly associated with his profile in the provided materials.

• 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.

• Industrial Engineering
• Stochastic Processes
• Quality Management
• +۱ مورد دیگر

Sonya Javadi is an Assistant Professor in the Department of Industrial Engineering at Işık University 's Faculty of Engineering and Natural Sciences. Her academic work focuses on stochastic processes, quality control, and supply chain management. Fields of Study: Industrial Engineering, Stochastic Processes, Quality Management Teaching: Courses in Stochastic Models, Supply Chain Management, Game Theory, and Network Theory Her research spans stochastic modeling , supply chain logistics , and quality control systems . Recent work includes analyzing pandemic impacts on urban supply chains and developing optimal stopping strategies for inventory management. She has advised students on predictive maintenance simulations and contributes to advancing industrial engineering methodology through control chart innovations.

• Child Development
• Early Childhood Education
• Parent–child interaction
• +۷ مورد دیگر

Prof. Dr. Arzu ÖZYÜREK is a full Professor at the Department of Child Development, Faculty of Health Sciences, Karabük University, Türkiye. Since 2019 she has served as both Department Chair and Programme Chair, while previously holding roles such as Associate Professor, Assistant Professor, Erasmus Coordinator and Research Centre Director. She is an active faculty member with 393 publications and 488 citations (h-index 31 on Google Scholar). Education PhD, Child Development and Education, Gazi University, Institute of Educational Sciences (2009) MSc, Child Development and Education, Gazi University (2004) BA, Child Development and Household Management Education, Gazi University (1995) Associate Degree, Health Programs, Ondokuz Mayıs University (1991) Research Focus Her research centres on developmental processes in early and middle childhood, with particular emphasis on parent–child interaction, emotional and social competence, temperament, bullying and victimization, values education, and Montessori pedagogy. She investigates protective and risk factors influencing children’s adjustment, develops measurement instruments, and evaluates intervention programmes delivered in family, school and digital settings. Publication Trends Across 2023–2025 her work has increasingly targeted digital contexts, including Instagram addiction, web-based early-math family programmes, and remote education during COVID-19. Earlier studies explored humour development, moral values, emotional regulation and attachment in adolescents and preschoolers. Methodologically she employs scale development, experimental and quasi-experimental designs, CHAID analyses, and cross-cultural comparisons. Grants & Projects Principal Investigator, “Digital Storytelling to Support Early Mathematical and Literacy Skills” (TÜBA/TÜBİTAK, 2024–2025) Coordinator, “Learning About Earthquake, Reducing My Anxiety” (TÜBA/TÜBİTAK, 2024) Principal Investigator, “The Effect of Starting the Day with Sports on Children” (Karabük University, 2017–2018) Principal Investigator, “Montessori Education and Problem-Solving Skills in Preschoolers” (Karabük University, 2016–2017) Researcher, EU/UNESCO PIKTES project for Syrian children’s integration (2019) Supervision & Teaching She has supervised more than 40 master’s and 10 doctoral theses and currently teaches courses ranging from “Experimental Studies in Curriculum” at PhD level to “Family Education” at undergraduate level. Her advisees investigate topics such as temperament-based programmes, refugee children, Montessori applications, and early mathematical literacy. Laboratory & Teams Prof. ÖZYÜREK leads the Child Development Research and Application Centre at Karabük University, hosting interdisciplinary teams of students, early-career researchers and international collaborators working on intervention design, scale adaptation, and family-focused projects.

Bo Weiمشاهده پروفایل

استادیار

• Stochastic Analysis
• Optimal Control
• Robust Control
• +۵ مورد دیگر

Bo Wei is an Assistant Professor in the Faculty of Business Administration at Ozyegin University, specializing in Operations Management. He holds a PhD in Industrial and Systems Engineering from Texas A&M University, an MS in Control Theory, and a BS in Automation from the University of Science and Technology of China. Prior to joining Ozyegin, he served as a visiting assistant professor at Bilkent University and a research fellow at the National University of Singapore. His educational background: PhD in Industrial and Systems Engineering, Texas A&M University MS in Control Theory, University of Science and Technology of China BS in Automation, University of Science and Technology of China Dr. Wei's research centers on stochastic analysis and control theory (optimal control, robust control, adaptive control) with applications to service systems, alongside constrained convex optimization, online optimization, inventory control, supply chain management, and service systems. His work bridges theoretical developments in stochastic processes and optimization with practical operations management challenges, emphasizing mathematical rigor in solving real-world logistical problems. His publication record (2014-2025) reveals a consistent focus on stochastic clearing systems, shipment consolidation, and inventory control. He employs advanced techniques including diffusion processes, semi-infinite programming, and randomized algorithms to analyze service performance, delay penalties, and optimization under uncertainty. The research demonstrates strong interdisciplinary connections between probability theory, operations research, and supply chain applications. Dr. Wei has not been mentioned to have received any scientific awards in the provided text. Information about Dr. Wei's advising activities, research grants, laboratories, or collaborative teams is not provided in the text. He teaches core operations courses including Business Decision Modeling (BUS 201), Service Operations Management (OPER 314), and Operations Management (OPER 202).

• Fractional Calculus
• Applied Mathematics
• Mathematical Analysis
• +۲ مورد دیگر

Prof. Fahd JARAD is a Professor in the Department of Mathematics at Çankaya University's Faculty of Arts and Sciences. With a strong academic background including a PhD from Bilkent University, he has established himself as a prominent researcher in fractional calculus and applied mathematics. His academic journey includes teaching courses such as Calculus and Introduction to Differential Equations. Education: PhD in Mathematics, Bilkent University (1996-2001) Master's in Mathematics, Bilkent University (1994-1996) Bachelor's in Mathematics, Middle East Technical University (1989-1993) Prof. JARAD's research primarily focuses on fractional calculus, differential equations, and mathematical modeling. His work spans theoretical developments in fractional operators and their applications to physical phenomena including fluid dynamics, heat transfer, and epidemiological modeling. He has made significant contributions to the theory of fractional derivatives, particularly the Caputo-Katugampola derivative, weighted fractional proportional operators, and conformable fractional calculus. His publication record shows a remarkable output of 277 publications, with a strong recent focus on fractional differential equations and their applications. The trends in his research indicate a growing interest in combining fractional calculus with real-world problems in fluid dynamics, epidemiology, and control theory. His work often bridges theoretical mathematics with practical applications, demonstrating the versatility of fractional calculus as a modeling tool. Scientific Recognition: Extensive publication record with 277 publications Active research in fractional calculus and its applications Significant contributions to fractional differential equations theory Prof. JARAD has supervised numerous graduate students, including 10 master's and doctoral candidates. His research has involved collaborations across multiple disciplines, particularly in applying mathematical models to physical and biological systems. He has also served as Department Head at Çankaya University from 2016-2018, demonstrating leadership in academic administration alongside his research and teaching responsibilities. His laboratory and research team focus on fractional calculus applications, differential equations, and mathematical modeling. Current work appears to be exploring novel fractional operators and their applications to complex physical systems, with particular emphasis on developing robust numerical methods for solving fractional differential equations.

Güvenç Şahinمشاهده پروفایل

استاد

• Operations Research
• Transportation Planning
• Electricity Markets
• +۲ مورد دیگر

Güvenç Şahin is a Professor at Sabanci University specializing in Operations Research with applications in transportation systems and energy markets. His research employs advanced optimization techniques to solve complex real-world problems including public transit planning, electricity market design, and supply chain logistics. Research interests span: Transportation optimization (vehicle routing, crew scheduling) Electricity market competition analysis Multi-period resource allocation Agent-based simulation of market behavior Combinatorial algorithm design Publication analysis reveals consistent focus on mathematical optimization in energy and transportation domains. Recent work (2024-2025) emphasizes algorithmic solutions for market collusion detection and vehicle routing problems, while earlier contributions established foundational work in railway optimization and electricity market simulation. No scientific awards are documented in available sources. His collaborative projects demonstrate active engagement with European research institutions on transportation and energy systems. While no dedicated lab is specified, his research involves optimization modeling teams addressing transportation networks and energy market dynamics, frequently utilizing high-performance computing resources for large-scale simulations.

• Mathematics Education
• Mathematical Resilience
• Error Handling in Mathematics
• +۳ مورد دیگر

Zekiye MORKOYUNLU is an Assistant Professor in the Department of Mathematics and Science Education at Kirsehir Ahi Evran University's Faculty of Education. With a strong academic background including a PhD from Middle East Technical University and another doctoral degree from Atatürk University, she has established herself as a dedicated mathematics educator and researcher. Her educational background includes: PhD in Mathematics Education from Middle East Technical University (2013) Master's Degree in Mathematics Education from University of Leeds, UK (2011-2012) PhD in Mathematics Education from Atatürk University (2011-2017) Bachelor's Degree in Secondary School Science and Mathematics Education from Atatürk University (2002-2007) Dr. MORKOYUNLU's research focuses primarily on mathematics education with special emphasis on mathematical resilience, error handling in mathematics learning, parental involvement in math education, and gifted student education. Her work explores how students develop mathematical thinking and how educators can create supportive learning environments that encourage mathematical reasoning despite challenges and mistakes. She has particularly investigated how parental support affects middle school students' mathematical achievement and how error-based activities can improve preservice teachers' reflective thinking skills. Her publication record shows consistent output with significant activity in recent years, particularly in 2023-2025, with research spanning mathematical resilience, error handling activities, gifted education, and teacher training. Her work appears in both international and national journals, with a focus on practical applications for mathematics educators. Scientific recognition includes: YLSY 2007 award from the Ministry of National Education Dr. MORKOYUNLU has supervised four master's students to completion, with two additional students currently working under her supervision. She teaches a variety of courses including Middle School Mathematics Curriculum, Activity Development in Mathematics Teaching, Qualitative Research Methods in Mathematics Education, and Geometry and Measurement Teaching. Her research projects include 'Teacher Candidates' Level of Gaining Student Recognition Competence' and 'Design of Dynamic Software-Supported Activities for Gifted Students Using Design-Based Research Method.'

SADIK ALASHANمشاهده پروفایل

دانشیار

• Hydraulic Engineering
• Hydrology
• Water Resources
• +۴ مورد دیگر

Dr. Sadik Alashan serves as Associate Professor in the Faculty of Engineering and Architecture at Bingol University, Turkey, specializing in Civil Engineering disciplines through teaching courses including Hydraulics, Hydrology, Fluid Mechanics, and Water Resources Structures. His academic journey spans over a decade at Bingöl University with progressive appointments from Research Assistant to current Associate Professor status. Education: Ph.D. in Hydraulic and Water Resources Engineering, Istanbul Technical University (2011-2016) M.S. in Hydraulic Engineering, Firat University (2008-2011) B.S. in Civil Engineering, Dicle University (1999-2003) Research Focus: Dr. Alashan pioneers statistical methodologies for hydrological trend analysis, particularly advancing Sen's Innovative Trend Analysis (ITA) into frameworks like S-IPTA and ITA-NF. His work bridges climate science and water engineering through drought assessment in Mediterranean regions, earthquake recurrence modeling in Eastern Turkey, and machine learning applications for hydraulic structures. Recent publications demonstrate evolution from foundational ITA refinements (2016-2020) toward integrated climate-hydrology frameworks (2023-2025), with increasing international collaboration. Scientific Awards: No major scientific awards listed in the provided information Academic Contributions: Dr. Alashan has co-supervised Master's research on climate impacts to river systems and serves as reviewer for leading journals including Water Resources Management and Natural Hazards. His publication trajectory shows consistent output with 15+ articles in the last five years, primarily in Q1 hydrology/climate journals. While no formal lab is specified, his computational research group focuses on methodological innovation for water resource challenges in semi-arid regions. Research Environment: Based in Bingöl (Eastern Turkey), his work addresses regional water security through earthquake-prone basin studies and Mediterranean drought analysis. His recent shift toward machine learning integration (2025 publications) indicates evolving technical capacity within his research group, leveraging computational approaches to solve practical hydraulic engineering problems.

• Partial Differential Equations
• Quantum Mechanics
• Numerical Analysis
• +۴ مورد دیگر

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.