جست‌وجوی استاد و پژوهشگر

• Production Management
• Operations Strategy
• Sustainability in Production
• +۴ مورد دیگر

Gamze Karayaz serves as a full-time Assistant Professor in Business Administration at Işık University's Faculty of Economics, Administrative and Social Sciences. Holding a PhD from Old Dominion University (2006) and a Bachelor's from Dokuz Eylül University (1993), she teaches Production Management, Business Project Management, and Strategic Management in both Turkish and English mediums across undergraduate to doctoral programs. Educational background includes: PhD in Social Sciences, Old Dominion University (2000-2006) Bachelor of Business Administration, Dokuz Eylül University (1988-1993) Her research integrates production management with sustainability and operations strategy, particularly examining virtual team effectiveness through knowledge management frameworks and cultural influences on crisis project management. Recent work explores warehouse optimization algorithms and green supply chain practices in Turkish industries, emphasizing practical applications for sustainable operations. Publication trends reveal consistent focus on project management evolution (2006-2020), with early works establishing virtual team frameworks, mid-career studies addressing organizational maturity and cultural impacts, and recent contributions tackling warehouse logistics and sustainability metrics. Cross-cutting themes include Turkish business contexts, international collaborations, and methodological diversity from experimental studies to case analyses. Scientific recognition includes: The Faculty Excellence Award in Academics (U.S. Engineering Management Department) Two-time recipient of Işık University's 'Most Favorite Faculty Member' award from Business Department students As an advisor, she supervises master's theses on agile project management and green supply chains while leading international grants including NASA-sponsored geographical database research, U.S. Coast Guard port security modeling, and EU-funded ENTERPRISE entrepreneurship initiatives. Current projects focus on SME sustainability, consume-aware education, and trade missions. Her professional ecosystem spans PMI Turkey (serving as 2012 President), European Operations Management Association, and transnational collaborations with Monterrey Tech and Robert Morris University, driving virtual team research and curriculum development.

• Distributed Database Design
• Query Optimization
• Evolutionary Algorithms
• +۸ مورد دیگر

Prof. Ahmet Cosar is a faculty member in the Department of Computer Engineering at the Middle East Technical University (METU), Ankara, Turkey. He holds a PhD in Computer Science from the University of Minnesota (1996), an MS in Computer Engineering from Bilkent University (1988), and a BS in Computer Engineering from METU (1986). His research focuses on distributed database design, query optimization, evolutionary algorithms, computer networks, and cloud computing. He leads the Intelligent Data Analysis Group (IDAG) and teaches courses such as CENG 240, CMPE 275, and CENG 280. Education: PhD, Computer Science, University of Minnesota, 1996 MS, Computer Engineering, Bilkent University, 1988 BS, Computer Engineering, METU, 1986 Research Interests: Query optimization in distributed databases Evolutionary algorithms (e.g., genetic algorithms, particle swarm optimization) Cloud computing and data warehouse design Machine learning applications in cybersecurity Wireless sensor networks and data fusion Publications: Over 50 peer-reviewed articles in journals like Computers & Industrial Engineering and Neurocomputing , focusing on optimization algorithms, cloud resource allocation, and machine learning techniques. Recent work includes island-parallel metaheuristics for graph coloring and reinforcement learning for adaptive interventions. Advising & Grants: Supervised over 30 graduate students (PhD and MS) in areas like evolutionary algorithms, cloud databases, and sensor networks. Active in research grants related to distributed systems and big data. Labs/Teams: Leads the Intelligent Data Analysis Group (IDAG), collaborating on projects in optimization, machine learning, and cloud computing.

Murat SARANمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Gamification
• Intelligent Learning Systems
• +۵ مورد دیگر

Dr. Murat SARAN is an Assistant Professor in the Department of Computer Engineering at Çankaya University, Ankara, Turkey. He serves as Director of the Distance Education Application and Research Center (DEARC), focusing on innovative educational technologies. His academic background includes a PhD (2009) and MSc (2003) in Computer and Educational Technologies from Middle East Technical University (1999-2009). Education: Bachelor's: Middle East Technical University, Computer and Educational Technologies (1999) Master's: Middle East Technical University, Computer and Educational Technologies (2003) PhD: Middle East Technical University, Computer and Educational Technologies (2009) Research Interests: Dr. SARAN specializes in Human-Computer Interaction, Gamification, and Mobile Learning. His work spans algorithmic thinking, context-aware systems, virtual reality integration in education, and data augmentation techniques for machine learning. He has contributed to projects addressing digital literacy in primary education and emotion recognition via computer vision. Key Projects: ICOINS (2018–2020): Developed Industry 4.0 training tools for SMEs (€203,858) Mesh-Based Mobile Education Platform (2012–2014): Managed a TL 373,128 project for SME/educational institutions HESAPRO (2011–2013): Analyzed health-safety-productivity links in workplaces (€103,000) Grants & Labs: His research has been supported by TÜBİTAK and EU grants. He leads the DEARC lab, focusing on distance education innovation and mobile learning systems.

• Health Informatics
• Semantic Web Technologies
• eHealth Interoperability
• +۴ مورد دیگر

Özgür Kılıç is an Associate Professor in the Department of Computer Engineering at Muğla Sıtkı Koçman University's Faculty of Engineering. He holds a Bachelor's degree from Bilkent University (1993-1998), a Master's degree (2001) and PhD (2008) from Middle East Technical University, all in Computer Engineering. As a regular academic staff member, he currently serves as Department Chair of Computer Software and has taught various courses including Mobile Application Development, Artificial Intelligence, Computer Organization, and Software Design Patterns. His research interests focus on Health Informatics, Semantic Web Technologies, and Software Engineering, with particular expertise in eHealth interoperability, mobile computing, and AI applications. Kılıç has made significant contributions to healthcare information systems, developing semantic approaches for clinical statement interoperability and peer-to-peer networks for eHealth communities. His work bridges theoretical computer science with practical healthcare applications, addressing critical challenges in medical data integration and sharing. His research output shows consistent impact over two decades, with publications continuing to be cited through 2022. His recent work has expanded into quality control systems for manufacturing and SEO-based features for learning to rank algorithms, demonstrating the versatility of his research approach. Dr. Kılıç has supervised multiple graduate theses, including work on SEO-based features for learning to rank algorithms (2022) and relational to graph database conversion (2021). He has served as editor for several journals including Gümüşhane University Journal of Science and Sakarya University Journal of Computer and Information Sciences. He has held significant administrative roles, including Department Chair appointments in 2019 and 2020, and participated in the 9th International Symposium on Health Informatics and Bioinformatics in 2015. His teaching portfolio covers a wide range of computer engineering topics from foundational programming to advanced AI and graphics.

• Software Engineering
• Context-Aware Systems
• Public Health Informatics
• +۴ مورد دیگر

Ufuk Çelikkan is an Assistant Professor in the Department of Software Engineering at Izmir University of Economics since September 2008. He holds a Ph.D. and M.S. in Computer Science from North Carolina State University (1995, 1993) and a B.S. in Computer Science from Middle East Technical University (1988). Education : Ph.D., M.S. (NCSU), B.S. (METU) Experience : Researcher at Gemalto Inc. (2007-2008), Software Engineer at IBM (1995-2007), Research Assistant at NCSU and Bilkent University His research focuses on context-aware systems , service-oriented architecture , and IoT applications , often bridging software engineering with health informatics and retail technology . Recent work explores design pattern recommendations , encryption mechanisms , and academic-industry alignment in IT education. Key trends in his publications include context-aware system design , public health informatics , and authentication technologies . He has contributed to interdisciplinary projects involving medical education , laundry business automation , and supermarket behavior analysis .

Damla Oğuzمشاهده پروفایل

استادیار

• Data Mining
• Database Systems
• Query Optimization
• +۶ مورد دیگر

Damla Oğuz is an Assistant Professor and Deputy Head of Department in the Department of Computer Engineering at Izmir Institute of Technology. She has held this position since December 2019, following her appointment as an Assistant Professor in the Department of Software Engineering at Yaşar University from 2017 to 2019. Her educational background includes: B.Sc. in Software Engineering (2008) and Industrial Systems Engineering (2009) from Izmir University of Economics M.Sc. in Computer Engineering (2012) from Izmir Institute of Technology Ph.D. in Computer Science (2017) from Paul Sabatier University, France (completed as part of a cotutelle program with Ege University) Damla Oğuz's research focuses on data mining and query optimization in distributed databases . Her work spans multiple areas including high-utility itemset mining, federated query processing, knowledge base evaluation, and the application of large language models in education. She has made significant contributions to understanding how to efficiently process queries across distributed data sources, particularly in the context of semantic web technologies and linked data. Her research often addresses the challenges of scalability, privacy, and performance in large-scale data management systems. Her recent publications demonstrate a clear trend toward addressing contemporary challenges in data management and analysis. Starting with foundational work in itemset mining algorithms, her research has evolved to tackle more complex problems in federated query processing, knowledge base evaluation, and the integration of large language models into educational contexts. The breadth of her work spans theoretical algorithm development, practical system implementation, and educational applications. Her teaching portfolio includes: CENG 212 - Concept of Programming Languages SEDS 502 - Modern Database Management Systems SEDS 535 - Information Extraction CENG 544/SEDS 542 - Large Scale Data Management CENG 465 - Principles of Data-Intensive Systems Her professional activities include: Deputy Head of Department at Izmir Institute of Technology Active research in data management and mining Teaching undergraduate and graduate courses in computer engineering

Serap Şahinمشاهده پروفایل

استادیار

• Cybersecurity
• Information Systems Security
• Cryptology
• +۵ مورد دیگر

Serap Şahin is an Assistant Professor in the Computer Engineering Department at Izmir Institute of Technology. She holds a B.S. (1987), M.Sc. (1989), and Ph.D. (2006) in Computer Engineering from Ege University. Her academic career began in 2002 after working at Arkas Holding as an Information Systems Coordinator, where she managed transportation and logistics systems. She completed a postdoctoral fellowship at the European Commission’s Joint Research Center (2010) focusing on Next Generation Network Security, supported by TUBITAK. Her research interests span cybersecurity, information systems security, cryptology, and cloud computing security. Notable contributions include studies on social network privacy, blockchain applications, forensic data analysis, and homomorphic encryption systems like EDU-VOTING. She has published widely in journals such as the International Journal of Information Security Science and Turkish Journal of Electrical Engineering and Computer Sciences. Key achievements include a TUBITAK Postdoctoral Fellowship (2010) and leadership in projects like “Homomorphic Cryptosystem Based Electronic Election System Solution” funded by BAP. Her work bridges theoretical cryptography with practical applications in secure communication, data privacy, and network security.

Bilgin AVENOĞLUمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Software Engineering
• Cloud Computing
• +۴ مورد دیگر

Dr. Bilgin AVENOĞLU is an Associate Professor at Ankara Üniversitesi's Faculty of Engineering, Department of Software Engineering (since 2022). Previously, he held full-time positions at TED Üniversitesi in similar roles. He holds a Ph.D. in Computer Systems from Orta Doğu Teknik Üniversitesi (2014), an MSc in Computer and Instructional Technology Education (2005), and a BSc in Computer Education (2001). Research Interests: Artificial Intelligence applications in pervasive computing Middleware systems and cloud-based frameworks Optimization algorithms for multi-dimensional problems Context-aware and workflow-based systems Recent Research Trends: Focuses on integrating physiological data with human-machine interfaces, developing robust optimization methods, and middleware solutions for multi-modal interactions. His work bridges software engineering with ambient intelligence and cloud computing. Awards: No awards explicitly listed, but active in TÜBİTAK-funded projects. Grants & Projects: Led a 2018-2022 TÜBİTAK/TÜBA project on physiological data infrastructure for human-machine applications. Collaborates with institutions like Orta Doğu Teknik Üniversitesi and İnönü Üniversitesi. Labs/Teams: No dedicated lab mentioned, but active in cross-institutional research collaborations.

• Data Engineering
• Data Science
• Indoor Location-Based Services
• +۳ مورد دیگر

Tiantian Liu is an Assistant Professor in the Department of Computer Science at Aalborg University, under the Technical Faculty of IT and Design. Her research focuses on data engineering and systems, particularly in the context of indoor location-based services and data science. Research Interests: Her work spans data management, indoor positioning, spatiotemporal databases, and scalable systems. She applies techniques from data science and computer science to solve challenges in real-time data processing, data quality, and context-aware applications. The publication trend from 2020 to 2024 shows a consistent focus on data engineering, with topics including indoor LBS, query optimization, distributed systems, and data integration. Her research combines theoretical database principles with practical system implementations. Scientific Awards: Prize (1) Advising and Grants: While no formal students are listed, she has participated in externally funded research projects. She was a project participant in Data Management Foundations for Indoor LBS (2019–2021), contributing to foundational work in indoor data systems. Labs and Teams: She is a member of the Data Engineering, Science and Systems research group at Aalborg University, collaborating on data-intensive systems and applications.

• Data Structures and Algorithms
• Robotics
• Artificial Intelligence
• +۴ مورد دیگر

Mustafa AKSU is a Lecturer at Ahi Evran University, Faculty of Engineering and Architecture, Department of Computer Engineering. He holds a Doctorate (2016) from İnönü University in Computer Hardware, a Master's (2004) in Electrical and Electronics Engineering from Kahramanmaraş Sütçü İmam University, and a BSc (1998) in Computer Science Engineering from Kocaeli University. Current Position: Doctor Öğretim Üyesi (Lecturer) since 2022 Previous Role: Full-time Teaching Staff at Kahramanmaraş Sütçü İmam University (2001-2022) His research focuses on Data Structures and Algorithms , with significant contributions to skip ring/skip list innovations and their applications in robotics, artificial intelligence, and image processing. Key interests include: Algorithm optimization Machine learning applications Image segmentation techniques Mobile system development Renewable energy simulations Publications showcase expertise in data structures, robotics, and energy systems, with a recent 2024 paper on COVID-19 prediction algorithms and a 2023 book chapter on robotic simulation importance . Collaborations span institutions including İnönü University, University of Turku, and Gaziantep University. As a thesis advisor, he has guided three Master's students in 2024. Professional experience includes department chairmanship (2011-2014) and extensive teaching roles since 2001.

• Algorithmic Game Theory
• Graph Theory
• Approximation Algorithms
• +۵ مورد دیگر

Buğra Çaşkurlu is an Assistant Professor in the Department of Artificial Intelligence Engineering at TOBB University of Economics and Technology, where he has been affiliated since 2014. Previously, he served as a Postdoctoral Research Associate at West Virginia University (2010-2013). He holds a PhD and MS in Computer Science from Rensselaer Polytechnic Institute, and a BS from Bilkent University. His research spans algorithmic game theory , graph theory , and approximation algorithms , with applications in network design, operations research, and computer security. Key focus areas include equilibrium computation, coalition formation, resource allocation, and optimization in networked systems. His publications demonstrate consistent focus on game-theoretic modeling and algorithmic solutions, with recent work exploring Nash equilibria, social coalition structures, and security-aware systems. Earlier contributions address combinatorial optimization and network coding challenges.