Find Academic Supervisors

• Information Retrieval
• Natural Language Processing
• Turkish Language Processing
• +4 more

Bekir Taner Dincer is a Professor at Muğla Sıtkı Koçman University, Faculty of Engineering, Department of Computer Engineering. He has been actively teaching courses including Web Development and Programming, Artificial Intelligence, Data Mining, Natural Language Processing, and Senior Design Projects for multiple academic years including the upcoming 2025-2026 term. Dr. Dincer earned his Bachelor's degree in Statistics from Middle East Technical University (1988-1993), followed by a Master's degree in Statistics and Computer Science from Muğla Sıtkı Koçman University (1996-1998), and completed his Doctorate in Computer Science from Ege University's International Computer Institute (1998-2004). His research focuses on Information Retrieval, Natural Language Processing (particularly for Turkish language), and related computational linguistics areas. His work addresses challenges in Turkish language processing including morphological analysis, constituent chunking, information retrieval systems, and term weighting methods. He has made significant contributions to adapting information retrieval techniques for agglutinative languages like Turkish, which presents unique challenges compared to Indo-European languages. His publication record shows a consistent research trajectory with recent work (2013-2018) focusing on risk-sensitive evaluation methods, learning to rank, entity recognition in big data, and specialized approaches for Turkish language processing. His research often bridges theoretical information retrieval concepts with practical applications for Turkish text processing. Dr. Dincer has served as editor for prestigious publications including the International ACM SIGIR Conference proceedings and ACM Transactions on Information Systems journal, demonstrating recognition of his expertise by the international research community. He has supervised numerous graduate students, guiding PhD and Master's theses on topics including unsupervised syntactic disambiguation for Turkish, statistical analysis of word roots and affixes, and information retrieval system design. His research has been supported by TÜBİTAK projects including the Design of a Statistics-Driven Selective Information Retrieval System (2015-2018) and the Design of a Statistical Information Access System (2011-2014).

• Project Management
• Construction Management
• Building Information Modeling
• +6 more

Neziha Yılmaz is a Researcher affiliated with the Civil Engineering Department at Istanbul Technical University's Civil Engineering Faculty. Her work focuses on integrating Building Information Modeling (BIM), Mixed Reality technologies, Machine Learning, and Artificial Intelligence into construction management and facility operations. Education: PhD in Structural Engineering (2020), Istanbul Technical University Master's in Building Management (2017), Istanbul Technical University Bachelor's in Civil Engineering (2012), Istanbul Technical University Research interests span Virtual Reality, Augmented Reality, Digital Twin applications, and data-driven decision-making in construction. She has explored topics like RFI analysis optimization, occupant feedback systems in BIM, and cross-cultural office leasing criteria using AHP methodology. Her articles emphasize practical applications of emerging technologies in construction asset management, building design, and usability evaluations of mixed reality solutions. No scientific awards or grants are explicitly listed in available records. She currently advises no formal graduate students. Professional Experience includes roles as a BIM Engineer at Gülermak Nurol Makyol Metro Construction Partnership (2019–2020) alongside academic duties since 2020.

• Software Engineering
• Real-time Systems
• Medical Informatics
• +1 more

Prof. Dr. Yaşar Güneri ŞAHİN serves as the Dean of the Faculty of Engineering and Computer Sciences at Izmir University of Economics, where he also holds a professorship in the Department of Software Engineering. With over two decades of experience in both academia and industry, he has established himself as a prominent figure in software engineering, real-time systems, and educational technologies. His academic journey began with a Bachelor's degree in Computer Engineering from Middle East Technical University in 1994, followed by a Master's in Computer Education from Gazi University in 1999, and culminated with a Ph.D. in Industrial Technology from Gazi University in 2005. Prior to joining Izmir University of Economics in 2008, he served as a faculty member at Yaşar University starting in 2005, and before that, he gained nearly a decade of industry experience in high-level management roles overseeing numerous software projects for both public and private sectors. Prof. ŞAHİN's research spans several interconnected domains with a strong emphasis on practical applications. His work in software engineering focuses on project management methodologies, team building models for educational contexts, and database systems. In real-time systems, he has made significant contributions to forest fire detection technologies using innovative approaches like animal-based biological sensors and radio-acoustic sounding systems. His educational technology research addresses challenges in nursing education, special education for individuals with autism, and internet resource utilization by university students. Notably, his interdisciplinary approach bridges computer science with healthcare applications, particularly in medical informatics where he has developed public health information systems and tools for medical data entry. His scholarly output demonstrates a consistent trajectory of innovation across multiple domains, with particular concentration in the period from 2007-2013. While his early work focused on foundational software engineering concepts and database systems, his research evolved to address pressing societal challenges including forest fire detection, healthcare information systems, and educational technologies. This evolution reflects his ability to identify emerging technological needs and apply software engineering principles to diverse real-world problems. His contributions have been recognized through multiple prestigious awards: TÜBİTAK Scientific Publication Awards (2008-2012) İzmir University of Economics Scientific Publication Awards (2008-2011) As an academic advisor, Prof. ŞAHİN has supervised doctoral and master's theses on diverse topics including heart failure management, triage algorithms for multiple injuries, and software project selection metrics for small and medium enterprises. His administrative leadership extends beyond his deanship to include serving on juries for national art, design, and architecture competitions, as well as evaluating research projects for TEYDEB and TÜBİTAK. His grant activities include serving as a project reviewer and monitor for various technology development initiatives including "Bulut," "ARAGES," "SADE," and "SWH-ATLANTIS." Prof. ŞAHİN maintains an active research laboratory environment focused on real-time systems and software engineering applications. His work often involves interdisciplinary collaboration, particularly with medical professionals on health informatics projects and with education specialists on technology-enhanced learning initiatives. Current research directions appear to focus on the intersection of software engineering principles with healthcare applications and environmental monitoring systems.

Serdar ARSLANView profile

Lecturer

• Database Management Systems
• Data Structures and Algorithms
• Machine Learning
• +3 more

Dr. Serdar Arslan is a Lecturer at the Department of Computer Engineering at Cankaya University. He holds a PhD in Computer Engineering from Middle East Technical University (METU), with a thesis on multidimensional data indexing. His academic background includes a Master's (2005) and Bachelor's (2001) in Computer Engineering from METU and Hacettepe University, respectively. His research focuses on database systems, machine learning, multimedia data indexing, and forecasting models. Education: Bachelor of Engineering, Computer Engineering, Hacettepe University (2001) Master of Science, Computer Engineering, METU (2005) Doctor of Philosophy, Computer Engineering, METU (2018) Research Interests: Machine Learning applications in healthcare forecasting and financial markets Advanced indexing techniques for multimedia databases (e.g., MM-FOOD structure) Natural language processing for stance detection in political discourse Hybrid forecasting models combining LSTM and Prophet algorithms Domain-specific NLP for product name extraction in Turkish text Publications: His recent work emphasizes machine learning-driven solutions for complex systems, including pandemic modeling, cryptocurrency analysis, and conflict discourse analysis. His earlier contributions focused on multimedia indexing and image retrieval systems using MPEG-7 standards. The 2025 paper on OSINT architecture frameworks highlights his expanding focus on cybersecurity and system design. Labs/Teams: While no specific lab is mentioned, his GitHub repositories (e.g., Forecasting, NLP projects) suggest active involvement in collaborative research projects related to his domains.

Ahmet Feyzi AteşView profile

Assistant Professor

• Computer Science
• Software Engineering
• Data Mining
• +7 more

Ahmet Feyzi Ateş is an Assistant Professor at FMV Işık University 's Faculty of Engineering and Natural Sciences, Department of Computer Science and Engineering. He previously served as an Assistant Professor at İstinye University, where he founded the Department of Software Engineering. His research focuses on Semantic Web technologies, Multi-Agent Systems, Data Mining, and Telecommunications protocols. PhD, Ege University (2008): Thesis on Semantic Web and Multi-Agent technologies for telecommunications services. MSc, University of Southern California (1994): Specialization in Data Communications and Computer Networks. MSc, Bilkent University (1993): Thesis on Formal Protocol Specifications and Conformance Testing. BSc, Yıldız Technical University (1990): First in class, Department of Computer Science and Engineering. Dr. Ateş's research integrates Semantic Technologies with Agentic AI to develop autonomous systems. His work in Data Mining applies to Call Center Text Analysis and Network Problem Detection. He explores Formal Methods for Protocol Verification and has contributed to Mobile Network Integration through Crowdsourcing. Recent publications highlight trends in Telecommunications , Software Engineering , and AI , with sub-fields like Agent-Based Services, Multimedia Synchronization, and Entitlement Management. His Semantic Technologies Lab drives innovation in Agentic AI systems. 2017 : Eşik Üstü Teşvik Ödülü (TÜBİTAK) for H2020 privacy-preserving big data projects. 2017 : Eşik Üstü Teşvik Ödülü (TÜBİTAK) for H2020 critical technology research. Dr. Ateş has held leadership roles in industry, including Project Manager at Turk Telekom and R&D Group Manager at Defne Communications. He holds a national patent for a data privacy query system and advises startups in algorithmic trading and influencer marketing.

• Graphic Design
• Art and Design
• Education in Art
• +5 more

Deniz Kürşad is an Associate Professor and current Head of Department in the Department of Graphic Design at Canakkale Onsekiz Mart University's Faculty of Fine Arts, where she has served since 2010. Promoted from Research Assistant (2010-2017) to Assistant Professor (2017-2021) and finally Associate Professor in 2021, she also holds multiple leadership roles including Faculty Management Board Member and Ethics Committee Member. Her educational background includes: PhD in Competence in Art, Hacettepe University, Faculty of Fine Arts, Department of Graphics (2016) MA in Postgraduate Studies, Suleyman Demirel University, Faculty of Fine Arts, Department of Graphics (2008) Bachelor's Degree, Mersin University, Faculty of Fine Arts, Department of Graphics (2003) Kürşad's research spans Graphic Design, Art and Design, Accessibility, and Branding with focus on visual identity systems and interdisciplinary applications. Her work bridges architectural visualization, typography in public spaces, and universal design principles, emphasizing practical implementation in educational and professional contexts. Analysis of her 14 recent publications (2014-2024) reveals consistent focus on three-dimensional visual communication, accessibility in branding, and environmental graphic design. Her work demonstrates strong integration of theoretical frameworks with practical applications, particularly in public space branding, responsive web design, and cross-disciplinary design methodologies. She has secured significant research funding including the 2022-2024 project 'Symbolization of Çanakkale's Historical and Cultural Values for Application on Textile Surfaces' as Principal Investigator, alongside editorial roles for the International Journal of Troy Art and Design since 2020. Her academic supervision extends through curriculum development in courses like Packaging Design and Web Design. Kürşad maintains active artistic engagement through international exhibitions including the 9th Çanakkale Biennial and interdisciplinary projects addressing cultural heritage and social issues like violence against women, demonstrating the practical application of her theoretical research.

• Educational Technology
• Data Mining in Education
• Artificial Intelligence in Education
• +3 more

Hakan GÜLDAL is an Assistant Professor at the Faculty of Education, Trakya University, with a research focus on educational technology and data mining applications in education. He holds degrees in Computer Engineering (BSc, MSc, PhD) and teaches courses in Database Management Systems and Programming Languages . BSc, MSc, PhD in Computer Engineering from Trakya University Assistant Professor since 2018 Specializes in machine learning for educational analytics His research explores technology acceptance models, cloud-based learning systems, and classification algorithms applied to educational datasets. Recent work examines chatbots as educational tools and predictive modeling of student performance. Publications span 2010-2024, with a focus on Cloud computing in education Machine learning for student assessment Learning management system analysis He contributes to international conferences and journals in educational technology. Teaching includes foundational courses in database systems and programming languages, reflecting his technical background.

• Computer Engineering
• Multimedia Security
• Embedded Systems
• +4 more

Cem Taşkın is an Assistant Professor at the Department of Computer Engineering, Trakya University, and has served as Department Head since January 2023. Previously, he was Assistant Professor at Tunca Vocational School (2011-2014) and held administrative roles as School Director (2013-2017) and Deputy Director (2012-2013). He earned his PhD in Computer Engineering from Trakya University in 2010. High School: Kırklareli Anatolian High School (1999) Bachelor's: Trakya University, Computer Engineering (2003) Master's: Trakya University, Computer Engineering (2006) PhD: Trakya University, Computer Engineering (2010) His research focuses on Computer Engineering , Multimedia Security , and Embedded Systems , with a strong emphasis on encryption techniques for MPEG video streams and mobile/web application development. Recent work includes applying interactive mobile applications for pediatric chemotherapy treatment (2022) and optimizing embedded systems as dashboards (2016). Publication trends reveal expertise in video encryption (I-frames, byte alignment, XOR operations), chaotic algorithms for sound data security, and software development for educational and administrative systems. His work bridges theoretical cryptography with practical implementations in multimedia and embedded environments. Supervised Master's Theses: Altuğ Yiğit - Human Insight in Business Processes with Deep Learning Temel Yavuz - Corporate Content-Information Management Systems Murat Emre Yücel - Text Classification with Active Learning Projects: Led initiatives at Trakya University on mobile application development laboratories (2016), campus automation systems (2016), and MPEG audio querying (2008). Participated in KOSGEB's R&D Innovation Project for Dream Cash Register/Barkot Systems (2012).

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.

Ismail Sengor AltingovdeView profile

Associate Professor

• Information Retrieval
• Web Search and Mining
• Big Data
• +3 more

Dr. Ismail Sengor Altingovde serves as an Associate Professor in the Department of Computer Engineering within the College of Engineering at Middle East Technical University (METU) in Ankara, Turkey. Previously, he completed his B.S. and M.S. degrees at Bilkent University, followed by a Ph.D. in Computer Engineering from Bilkent in 2009. His academic journey includes post-doctoral research at Bilkent University (2009-2011) and L3S Research Center in Hannover, Germany (2011-2012) before joining METU. His educational background includes: B.S. in Computer Engineering, Bilkent University (1999) M.S. in Computer Engineering, Bilkent University (2001) Ph.D. in Computer Engineering, Bilkent University (2009) - Thesis: "Improving The Efficiency of Search Engines: Strategies for Focused Crawling, Searching, and Index Pruning" Dr. Altingovde's research focuses on Information Retrieval , particularly Web Search and Mining, Big Data analysis, and Database Management Systems. His work addresses critical challenges in search result diversification, query performance prediction, and scalable indexing techniques. He has pioneered approaches in handling zero-result queries, integrating social signals into search, and developing neural information retrieval models. His research bridges theoretical algorithm design with practical implementations for real-world search engines. His publication record demonstrates a strong trajectory in search technologies, with recent work emphasizing neural information retrieval, social media integration in search, and cross-lingual search systems. The research shows consistent focus on improving search relevance while addressing scalability challenges in modern web-scale systems. His work spans both theoretical contributions and practical implementations with industry relevance. Among his notable recognitions: Distinguished Young Scientist 2016 award (GEBIP) from Turkish Academy of Sciences (TUBA) 2013 Yahoo! Faculty Research and Engagement Program (FREP) award (selected from 27 researchers across 24 countries) Dr. Altingovde actively contributes to the research community through professional service including co-chairing ECIR 2017 short paper track and serving on program committees for CIKM, SIGIR, and Web Science conferences. He has secured multiple research grants from TÜBITAK (Scientific and Technological Research Council of Turkey) including projects on query result caching, semantic relationships for search scalability, and domain-specific search engines. His work connects academic research with practical applications through collaborations with industry partners like Yahoo! Research. He leads research within METU's Computer Engineering Department, contributing to projects like LivingKnowledge (focusing on fact, opinions and bias in time) and previously participating in European projects like MUSCLE (Multimedia Understanding through Semantics, Computation, and Learning). His laboratory work emphasizes experimental validation of search algorithms with real-world datasets and practical implementations.

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.

• Computer Science
• Artificial Intelligence
• Machine Learning
• +10 more

Dr. Tolga Berber is an Assistant Professor at the Faculty of Science, Karadeniz Technical University . With a PhD in Computer Engineering from Dokuz Eylül University, his academic career spans over 20 years, including roles as Deputy Head of Department (2013–2023) and extensive research in Computer Sciences, Artificial Intelligence, and Medical Informatics .

• 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.

Aykut GÜVENView profile

Assistant Professor

• Cybersecurity
• Biometrics
• Database Systems
• +4 more

Aykut GÜVEN is an Assistant Professor at Istanbul Beykent University , Faculty of Engineering and Architecture, Department of Computer Engineering. He has held academic positions at multiple institutions, including Sabancı University, Doğuş University, and Marmara University. Current Affiliation: Istanbul Beykent University, Faculty of Engineering and Architecture, Computer Engineering Department Previous Affiliations: Sabancı University (Lecturer), Istanbul Sabahattin Zaim University (Doctor Lecturer), Doğuş University (Expert), Marmara University (Research Assistant) Educational background : Doctorate (2014), Doğuş University, Institute of Science Master's (2002) in Information Technologies (Non-Thesis), Gebze Institute of High Technology Licence (1993), Istanbul Technical University His research interests focus on cybersecurity , biometric authentication , and database performance . He explores keystroke and typing rhythm methods for user authorization, IoT security, and database scalability. His publication trends emphasize: Biometric security systems using keystroke and writing rhythm algorithms Comparative analysis of relational and column-based databases Cybersecurity vulnerabilities in IoT ecosystems Non-university experience includes teaching roles and technical consulting. Despite a prolific career in cybersecurity and database optimization, no scientific awards are documented in the provided text.

• 3D Printing
• Additive Manufacturing
• Welding
• +6 more

Ulas Yaman is an Assistant Professor in the Department of Mechanical Engineering at Middle East Technical University (ODTÜ), Ankara, Turkey. He holds a PhD (2014), MSc (2010), and BSc (2007) in Mechanical Engineering from ODTÜ, with a minor in Mechatronics. His academic career includes a Visiting Assistant Professor role at Purdue University (2014-2015) and Research Assistant positions at ODTÜ (2007-2014). Education: PhD, Mechanical Engineering, ODTÜ (2007-2014) MSc, Mechanical Engineering, ODTÜ (2007-2010) BSc, Mechanical Engineering, ODTÜ (2003-2007) Minor in Mechatronics, ODTÜ (2004-2007) Professor Yaman's research focuses on 3D Printing, Additive Manufacturing, CAD/CAM architectures, FPGA-based embedded systems, and computational geometry for manufacturing . His work addresses challenges in dimensional accuracy, interior structure optimization, and command generation paradigms for CNC and 3D printing systems. He developed the LIPRO pipeline, leveraging Python-based scripting and List Processors to reduce G-code file sizes by up to 99.7% in FDM applications. Scientific Contributions: Fundamental advancements in 2.5D curve offset generation using mathematical morphology Innovative shrinkage compensation techniques for FDM 3D printing Hybrid manufacturing systems integrating additive and subtractive processes Query-based CAD/CAM architectures for heterogeneous printing Real-time interpolator implementations on FPGA hardware Awards & Grants: Best Paper Award, IEEE Workshop on Intelligent Solutions in Embedded Systems (2016) TÜBİTAK 1001 Project Grant (2017-2020) for Hybrid Manufacturing Systems TÜBİTAK 3001 Grant (2017-2018) for LIPRO Pipeline Development ODTÜ-BAP Grant (2016) for Dimensional Accuracy Improvement TÜBİTAK PhD Scholarship (2010-2014) As an educator, he has taught advanced courses including ME 533 - Computer-Aided Design and ME 414 - System Dynamics at ODTÜ since 2015. His laboratory leads projects on smart manufacturing systems and develops open-architecture platforms for experimental validation of novel fabrication paradigms.