Find Academic Supervisors

• Computer Science
• Artificial Intelligence
• Algorithms
• +4 more

F. Yeşim İKİKAT serves as a Researcher at the Department of Computer Engineering within the Faculty of Engineering at Turkish-German University, a position held since 2022. Her academic foundation spans computational engineering with interdisciplinary applications in security systems and semantic analysis. Her educational qualifications include: Doctorate in Computer Engineering from Istanbul Technical University Institute of Graduate Education (2019) Master's in Computer Engineering from Yildiz Technical University Institute of Science (2014-2019, with thesis) Bachelor's in Computer Engineering from Atilim University Faculty of Engineering (2007-2012) Research interests center on Artificial Intelligence, Algorithms and Computational Theory, and Information Security and Cryptology, with specialized work in Parallel Algorithms, Natural Language Processing, and Image Encryption. Her methodology combines computational modeling with cryptographic techniques to solve complex engineering and information system challenges, particularly in high-performance computing environments and secure data transformation. Publication trends reveal evolving expertise from computational mechanics (2012 thermoelasticity simulations) to security applications (2018 image encryption) and semantic analysis (2015 Wikipedia linking). This progression demonstrates consistent application of algorithmic innovation across engineering simulations, multimedia security, and knowledge representation domains. No scientific awards were documented in the source material. Advising activities and research grants are not referenced in the available information. Laboratory affiliations or research team memberships were not specified in the provided text.

Can ÖzturanView profile

Professor

• Blockchain Technologies
• Parallel Processing
• High Performance Computing
• +4 more

Can Özturan is a Professor in the Department of Computer Engineering at Bogazici University in Istanbul, Turkey. He joined the department as a faculty member in 1996 after completing his Ph.D. in Computer Science from Rensselaer Polytechnic Institute in 1995 and working as a Postdoctoral Staff Scientist at the ICASE (Institute for Computer Applications in Science), NASA Langley Research Center. His research interests span Blockchain Technologies, Parallel Processing, High Performance Computing, Graph Algorithms, Scientific Computing, Resource Management, and Grid/Cloud Computing. Over his career, his research focus has evolved from parallel processing and graph algorithms toward blockchain technologies, particularly focusing on privacy-preserving techniques, fraud detection, and performance optimization in Ethereum systems. An analysis of his recent publications (2021-2025) reveals a strong concentration on blockchain applications, with particular emphasis on privacy-preserving protocols using zero-knowledge proofs, fraud detection in transaction graphs, and performance optimization for blockchain systems. His work bridges theoretical computer science with practical blockchain implementations, often applying parallel processing techniques to blockchain challenges. Professor Özturan teaches courses in Blockchain Programming (CMPE483), Parallel Processing (CMPE478), Systems Programming (CMPE230), Graph Algorithms (CMPE528), and Compiler Design (CMPE425), demonstrating his expertise across both foundational and emerging areas of computer engineering.

Tolga AyavView profile

Professor

• Formal Methods for Software Testing
• Hardware Component and On-Chip System Tests
• Real-Time and Fault-Tolerant Embedded Systems
• +5 more

Professor Tolga Ayav is affiliated with the Department of Computer Engineering at Izmir Institute of Technology , where he has served as faculty since 2006. He received his BSc in Electrical and Electronics Engineering (1995) from Dokuz Eylül University, MSc in Computer Engineering (1999) from Izmir Institute of Technology, and PhD in Computer Engineering (2004) from Ege University. He was a researcher at INRIA Rhone-Alpes in 2005. Education BSc: Electrical and Electronics Engineering, Dokuz Eylül University (1995) MSc: Computer Engineering, Izmir Institute of Technology (1999) PhD: Computer Engineering, Ege University (2004) Research Interests include formal methods for software testing, hardware component and on-chip system tests, real-time and fault-tolerant embedded systems, blockchain applications, and machine learning. His work focuses on: Formal verification techniques Real-time system optimization Hardware-software co-design Blockchain-based security solutions Mathematical modeling in testing Recent Publications span topics like: Deep learning for livestock monitoring Blockchain in IoT security Fourier expansion in fault analysis Optimized data replication strategies Finite state machine testing Scientific Awards include: Best Paper Award at IEEE CBDCom 2016 for cloud data replication research Teaching includes courses such as: CENG 312: Computer Networks CENG 523: Advanced Topics in Real-Time Systems CENG 215: Circuits and Electronics Projects he has led include: TÜBİTAK TEYDEB: Spectrally Efficient Small Cell Base Station Design BAP: Dedicated Server for Physical Network Applications Lab Leadership : He leads the DCS Research Group at Izmir Institute of Technology, focusing on distributed computing and real-time systems.

• Operations Research
• Fuzzy Logic
• Modeling and Optimization
• +3 more

Assistant Professor Tusan Derya is affiliated with Başkent University in the College of Engineering , Industrial Engineering Department . Their research focuses on Operations Research Fuzzy Logic Modeling and Optimization with applications in routing problems and logistics. Their recent publications address variations of the Traveling Salesman Problem (2020-2024), Team Orienteering (2016), and Vehicle Routing (2011) using Mixed-Integer Programming and Fuzzy Logic approaches. They have contributed to Portfolio Optimization models (2024) and Autonomous Distribution Systems (2024).

• Operations Research
• Combinatorial Optimization
• Vehicle Routing Problems
• +5 more

Prof. TEMEL ÖNCAN is a Professor of Industrial Engineering at Galatasaray University's Faculty of Engineering and Technology, specializing in Operations Research. He has been serving in this position since 2016, after previously holding the ranks of Associate Professor (2009-2015) and Assistant Professor (2006-2009) at the same institution. His academic journey began with a Doctorate from Bogazici University's Department of Industrial Engineering (1998-2004), following a Postgraduate degree from the same institution (1996-1998). His educational background includes: Doctorate (1998-2004) from Bogazici University, Faculty of Engineering, Department of Industrial Engineering Postgraduate (1996-1998) from Bogazici University, Faculty of Engineering, Department of Industrial Engineering Prof. Öncan's research interests span Operations Research, Combinatorial Optimization, Vehicle Routing Problems, Facility Location Problems, Assignment Problems, Network Design, Warehouse Management, and Scheduling. His work has resulted in numerous publications in prestigious journals such as European Journal of Operational Research, Networks, and Annals of Operations Research. His recent research focuses on conflict-constrained optimization problems, facility location models, and warehouse management systems, demonstrating consistent contributions to theoretical and applied aspects of Operations Research. His publication trends show a strong focus on combinatorial optimization problems with practical applications in logistics, transportation, and supply chain management. Many of his recent works address complex variants of classical optimization problems with additional constraints that better reflect real-world scenarios. Prof. Öncan has successfully supervised 12 theses across various topics in Operations Research and has led numerous research projects funded by TUBITAK and higher education institutions. His projects have focused on conflict-constrained optimization problems, facility location models, and warehouse management systems. He has held significant managerial roles, including University Executive Board Member at Galatasaray University's Continuing Education Application and Research Center since 2012. His international experience includes postdoctoral research at the University of Montreal (2005-2006), University of New Brunswick (2005), and a visiting lecturer position at Columbia University (2004-2005).

Uğur DoğrusözView profile

Professor

• Computer Science
• Graph Theory
• Algorithm Design
• +2 more

Prof. Dr. Uğur Doğrusöz is a faculty member actively engaged in academic research, particularly in algorithm development for graph visualization. While specific institutional affiliation details are not provided in this excerpt, his work focuses on computational methods for complex data structures. Research Focus: Specializes in static and incremental automatic layout algorithms for compound graphs Scientific Recognition TÜBİTAK 1001 Program Grant recipient (2025) for graph layout algorithm research

Belgin Ergenç BostanoğluView profile

Associate Professor

• Database Systems
• Data Mining
• Privacy-Preserving Techniques
• +3 more

Belgin Ergenç Bostanoğlu is an Associate Professor in the Computer Engineering Department at Izmir Institute of Technology (Turkey). Her research focuses on query optimization in distributed databases, association rule mining, privacy-preserving data mining, and graph-based algorithms. She leads the Dworld research laboratory and has held academic and industry roles since the 1980s. Education: B.Sc. in Computer Engineering, Middle East Technical University (1983) M.Sc. in Computer Engineering, Izmir Institute of Technology (2002) Ph.D. in Computer Engineering, Paul Sabatier University, France (2008) Research Interests: Dynamic frequent itemset mining and hiding under multiple support thresholds Subgraph mining in evolving graphs Federated query processing over linked data Privacy-preserving techniques in distributed databases Medical NLP applications (e.g., TurkMedNLI dataset) Her recent work emphasizes large-scale graph analysis, medical NLP dataset development, and adaptive join operators for federated SPARQL queries. She has contributed to over 30 peer-reviewed publications and led projects like the TÜBİTAK ARDEB 3501 platform for dynamic frequent itemset mining. Teaching: Courses include Advanced Database Management Systems, Knowledge Discovery, and Privacy-Preserving Data Mining. Labs & Projects: Manages Dworld lab and coordinates projects such as 'Turkish Medical NLP Model Development' (BAP-funded) and the Behavioral Next Generation Wireless Networks COST Action.

• Control Systems
• Networked Control Systems
• Automotive Engineering
• +5 more

Mehmet Akar is a full-time Professor at the Department of Electrical and Electronics Engineering, Faculty of Engineering, Boğaziçi University. His research focuses on control systems, networked control systems, multi-agent coordination, wireless communication, and optimization algorithms. He has contributed extensively to the fields of distributed consensus protocols, resilient networks, and resource allocation in heterogeneous systems. His work integrates mathematical system theory with practical applications in automotive systems, wireless networks, and industrial process control. Key research themes include cluster consensus in multi-agent networks, Byzantine-resilient algorithms, and adaptive control strategies for complex systems. Recent publications emphasize distributed algorithms for resource allocation in NOMA/MEC systems and fault-tolerant consensus mechanisms. His research also addresses challenges in vehicular platooning, industrial process modeling, and time-delay systems. Award-winning interdisciplinary contributions bridge theoretical advancements and real-world applications, with active engagement in both academic research and industry collaborations.

Ahmet Sinan CEVIKView profile

Professor

• Combinatorial Group Theory
• Graph Theory
• Algebraic Combinatorics
• +5 more

Prof. Dr. Ahmet Sinan CEVIK is a Professor of Mathematics at the Department of Mathematics, Faculty of Science, Selcuk University, Konya, Turkey. He holds editorial roles in several journals including Guest Editor for special issues in Symmetry, Computer Modeling in Engineering & Sciences , and serves on the Advisory Board of TWMS Journal of Applied and Engineering Mathematics . His primary research interests span Combinatorial Group Theory, Graph Theory, Semigroup Theory, and Topological Indices, with a focus on algebraic structures, graph invariants, and their applications. Prof. CEVIK has authored numerous textbooks including Introduction to Algebra (multiple editions) and Lecture Notes - I: Some Topics of Combinatorial Group Theory . He has published over 100 peer-reviewed articles in high-impact journals like Proceedings of the Edinburgh Mathematical Society , Communications in Algebra , and Applied Mathematics and Computation . His research emphasizes Gröbner-Shirshov bases, group presentations, and topological indices of graphs. He has collaborated extensively with global researchers such as Prof. Kinkar Ch. Das, Ivan Gutman, and Ismail Naci Cangul. His work bridges algebraic structures with graph theory, contributing to both theoretical advancements and applied mathematical problems.

Necati ARASView profile

Professor

• Inventory Control
• Product Recovery Network Design
• Reverse Logistics Management
• +7 more

Necati ARAS is a Professor in the Department of Industrial Engineering at Bogazici University. He holds a PhD from Bogazici University (1999). His research focuses on inventory control, reverse logistics, supply chain optimization, and the application of artificial neural networks in complex systems. He has published extensively on topics including facility location, wireless sensor networks, disaster preparedness, and competitive market strategies. Education: PhD, Bogazici University, 1999 ARAS's work bridges theoretical optimization with real-world applications, particularly in logistics, network security, and smart cities. His contributions include models for minimizing contagion spread in networks, optimizing multi-tier cloud computing, and improving vehicle routing efficiency. Recent research emphasizes strategic resource allocation and mitigating misinformation in social networks. Despite no listed awards, his prolific publication record (over 70 articles) reflects sustained academic impact. His research often addresses humanitarian challenges like disaster response and infrastructure protection. ARAS has advised numerous projects but no specific student names are provided in the text. His research teams likely focus on interdisciplinary collaboration between operations research, computer science, and civil engineering.

Shahram TAHERIView profile

Assistant Professor

• Biomedical Image
• Signal Processing
• Deep Learning
• +2 more

Shahram TAHERI is an Assistant Professor in the Department of Computer Engineering at Antalya Bilim University (ABU), Turkey, since 2019. Previously, he served as a faculty member at Azad University, Iran, for 8 years. He holds a Ph.D. in Computer Engineering from Eastern Mediterranean University, a Master’s from Shiraz University, and a Bachelor’s from Shahid Bahonar University of Kerman. Research Interests: Biomedical Image Processing Signal Processing Deep Learning Pattern Recognition Neural Networks Key Trends in Publications: His work focuses on applying deep learning and neural networks to biomedical image and signal processing, particularly in age estimation, cancer histopathology, and animal classification. His research spans both multi-stage feature fusion and magnification-specific analysis.

• Analysis
• Function Theory
• Graph Theory
• +5 more

Prof. Dr. Ali Hikmet Deger is a faculty member at the Department of Mathematics, Faculty of Science, Karadeniz Technical University. He has held various administrative roles, including Pedagojik Formasyon Koordinatörü (2024–present) and Vice Dean of the Faculty (2024–2025). Doctorate: Karadeniz Technical University, Mathematics (2011) Master’s: Karadeniz Technical University, Mathematics (2006) Bachelor’s: Atatürk University, Mathematics (2003) His research focuses on connections between suborbital graphs , special number sequences , and continued fractions , integrating graph theory with number theory and hyperbolic geometry . He explores how Fibonacci , Lucas , and Pell sequences generate geometric structures and identities in modular groups. Key trends in his 15 most recent publications (2025–2020) include: 2025: Lorentz matrix and Fibonacci/Lucas relations 2024: Metric comparisons in suborbital graphs 2023–2022: Matrix-graph duality, algorithmic vertex analysis 2021–2020: Continued fractions, Γ-invariant equivalence, and geometric transformations He has supervised four theses (2025–2021) and executed multiple projects, including TUBITAK-funded "Comparison of Metrics..." (2024–2025) and "Sürekli Kesirlerin Yinelenme Bağıntıları..." (2018–2022).

• High Performance Computing (HPC)
• Data Locality
• GPU Computing
• +7 more

Dr. Didem Unat is an Associate Professor at Koç University, College of Engineering, Department of Computer Engineering . Her research focuses on High Performance Computing (HPC) , GPU Computing , and Compiler Design , with particular emphasis on data locality optimization, multi-GPU communication, and adaptive mesh refinement. She leads the Parallel and Multicore Computing Lab , driving innovations in exascale co-design and heterogeneous system optimization. ACM SIGHPC Emerging Woman Leader in Technical Computing Award (2021) ERC Starting Grant (1.5M EUR) for the SparCity Project (2025) EuroHPC Grant for Extreme Scale Technologies and Applications (2025) 2025 BAGEP Award (Science Academy) Her work bridges Computer Architecture and Machine Learning , addressing challenges in data locality , multi-GPU systems , and performance portability . Recent publications highlight trends in sparse tensor optimization , asynchronous AMR execution , and compiler support for heterogeneous memory . She has developed tools like ComScribe for intra-node GPU communication analysis and ReuseTracker for multicore reuse distance analysis. Dr. Unat’s research is supported by grants from ERC and EuroHPC , reflecting her leadership in exascale technologies and GPU-centric systems . She contributes to the evolution of tiling abstractions , dynamic LLM training , and lightweight communication detection for modern architectures.

• Web Search Engines
• Text-to-SQL Systems
• Online Social Network Analysis
• +5 more

Özgür Ulusoy is a Professor of Computer Engineering at Bilkent University, Turkey. He has held academic positions since 1993, including Assistant Professor (1993–2003) and Associate Professor (1998–2003) before becoming a full Professor in 2003. He earned his Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign in 1992, following an M.S. (1988) and B.S. (1986) in Computer Engineering from Bilkent University and Middle East Technical University, respectively. His research focuses on web search engines, text-to-SQL systems, social network analysis, multimedia databases, and wireless/mobile systems. Notable projects include developing domain-specific web portals, optimizing query result caching, and exploring semantic relationships for search engine efficiency. He has directed over 20 sponsored projects funded by TÜBITAK, EU, and international collaborations, involving topics like data mining in mobile networks and real-time database scheduling. Ulusoy’s work bridges theoretical contributions with practical implementations, including prototyping video database systems and educational search engines. His research often emphasizes scalability, efficiency, and user-centric design. He has advised graduate students such as Arif Usta and Akifhan Karakayalı. His team’s contributions span algorithm development, system prototyping, and interdisciplinary applications in multimedia, social networks, and cloud computing. Key grants include projects on information retrieval paradigms in SQL translation (TÜBITAK, 2019–2021), refreshment strategies for web search caching (TÜBITAK, 2010–2011), and semantic relationships in search engines (TÜBITAK, 2008–2010). His recent work addresses challenges in IoT sensor networks, cloud resource scheduling, and mitigating misinformation in online platforms.

• Hybrid Control Systems
• Hierarchical Control Systems
• Distributed Consensus-Based Control
• +3 more

Jörg Raisch is a Professor of Control Systems at the Technische Universität Berlin since March 2006. He previously held positions at Otto-von-Guericke University Magdeburg and the Max Planck Institute for Dynamics of Complex Technical Systems. His research focuses on hybrid and hierarchical control systems , distributed consensus-based control , and control of time-dependent event-discrete systems using tropical algebras. Alma Mater: University of Stuttgart (Technical Cybernetics), UMIST Manchester (Control Systems) Postdoctoral work: University of Toronto (Systems Control Group) His work spans applications in process technology , medical systems , and energy technology . Recent publications emphasize max-plus algebra , P-time event graphs , and over-the-air consensus in clustered networks. He has served on editorial boards of journals like Automatica and Discrete Event Dynamic Systems , and led the IFAC Technical Committee TC1.3 on Discrete Event and Hybrid Systems from 2017-2020. Awards: DFG fellowship for habilitation