Find Academic Supervisors

• Machine Learning
• Healthcare Systems
• Logistics and Supply Chain Management
• +4 more

Assoc. Prof. Dr. Seda Yanık Özbay is an academic at Istanbul Technical University (ITU), affiliated with the Department of Industrial Engineering and the Department of Business Administration within the College of Engineering. She holds a PhD in Industrial Engineering from ITU and has extensive professional experience spanning academia and industry. Education: PhD in Industrial Engineering, Istanbul Technical University (2006–2011) Master’s in Engineering Management (Thesis), ITU (2002–2004) Bachelor’s in Industrial Engineering, ITU (1995–1999) Research Focus: Her work integrates machine learning, optimization, and decision science with applications in healthcare systems, sustainable logistics, transportation engineering, and educational technology. Notable areas include AI-driven disease diagnosis, supply chain optimization, and stakeholder-oriented decision frameworks for distance education. Recent publications emphasize ensemble methods in medical diagnostics and multi-criteria approaches to public transportation design. Articles Trends: Her 2020–2024 work showcases growth in AI applications (e.g., coronary disease prediction) and sustainability-focused solutions (e.g., micro-credentials in e-learning). Collaborations often bridge technical domains like neural networks with societal challenges in healthcare and education. Awards: No specific awards listed. Advising & Grants: While advising details are not explicitly stated, her publications reflect collaborative research with graduate students and industry partners. Research activities include grants related to logistics optimization and smart transportation systems. Labs/Teams: Engaged in interdisciplinary groups at ITU’s Industrial Engineering Department, focusing on operations research and applied AI solutions.

Halil Ibrahim CebeciView profile

Associate Professor

• Business Intelligence
• Data Mining
• Machine Learning
• +9 more

Assoc. Prof. Dr. Halil Ibrahim Cebeci is an Associate Professor at Sakarya University's Faculty of Business Administration, Department of Management Information Systems. With over a decade of academic experience, he specializes in business intelligence, data analytics, and decision support systems, contributing significantly to both research and education in these fields. Education: Doctorate in Industrial Engineering from Sakarya University (2004-2011) Master's in Industrial Engineering from Sakarya University (2002-2004, 2017-2021) Bachelor's in Industrial Engineering from Istanbul University (1998-2002) Dr. Cebeci's research focuses on the intersection of data science and business decision-making. His work spans social media analytics, multi-criteria decision making, airport efficiency analysis, and digital transformation of cities and organizations. He employs advanced methodologies including machine learning, sentiment analysis, and fuzzy logic to address complex business problems. His research has practical applications in transportation, public administration, and supply chain management. Analysis of Dr. Cebeci's recent publications reveals a strong trend toward social media analytics and its business applications, with significant contributions to transportation systems analysis and multi-criteria decision frameworks. His work increasingly integrates artificial intelligence techniques with traditional operations research methods, demonstrating interdisciplinary approaches to contemporary business challenges. Many of his studies apply computational methods to real-world problems in Turkish and international contexts. Dr. Cebeci actively supervises graduate students through various thesis and project courses, guiding research in business intelligence, data mining, and decision support systems. He has participated in numerous research projects related to digital transformation, business analytics, and decision support systems development.

• Information Retrieval
• Text Categorization
• Search Engines
• +4 more

Abdül Kadir GÖRÜR is a Lecturer in the Department of Computer Engineering at Çankaya University. He serves as Head of the Division (Data Analytics) and Vice Director (Institute of Graduate Studies). His research focuses on Information Retrieval, Text Categorization, and Search Engine Evaluation, with expertise in Machine Learning applications. Education: Bachelor of Engineering in Electrical and Electronics Engineering, Eastern Mediterranean University (1993) Master of Science in Electrical and Electronics Engineering, Eastern Mediterranean University (1997) Doctor of Philosophy in Computer Engineering, Eastern Mediterranean University (2004) Thesis: Text Categorization Using Inductive Learning Algorithm and Experiments with Document Representation Research Interests: Dr. GÖRÜR’s work spans: Search Engine Optimization for Turkish Language Documents Deep Learning for Multi-Label Text Classification Constraint Programming in Manufacturing Scheduling Data Mining in Healthcare Systems Inductive Learning Algorithms (ILA) Development Professional Contributions: His publications address topics ranging from workforce scheduling optimization to plagiarism detection systems in e-learning platforms. Recent work emphasizes neural network architectures for text categorization and real-time data processing frameworks. Laboratory & Teams: While specific lab affiliations aren’t detailed, his administrative roles indicate involvement in data analytics initiatives and graduate research coordination.

• Ancient Greek Philosophy
• Ancient Roman Philosophy
• Aristotle Studies
• +6 more

Mary Katrina Krizan serves as Assistant Professor of Philosophy at Bilkent University's Faculty of Humanities and Letters. She joined the department in 2021 after holding academic positions at the University of Wisconsin–La Crosse, Spring Hill College, and California State University, Fullerton. Her educational background includes a PhD in Philosophy from the University of Colorado, Boulder. Her research focuses on: Ancient Greek and Roman philosophical traditions Aristotelian metaphysics and natural philosophy History of scientific concepts (particularly matter, chemistry, and alchemy) Dr. Krizan's scholarly output reveals sustained engagement with Aristotle's theories of matter, elemental transformation, and teleological explanation. Her recent publications demonstrate increasing specialization in meteorological and chemical aspects of Aristotelian physics, with growing emphasis on textual analysis of On Generation and Corruption and Meteorology . Her scientific recognition includes: Quinn Fellowship at the National Humanities Center (2019-2020) She co-leads the 'Natural Philosophy' reading group focusing on weekly determined texts and participates in the Plato reading group (Republic Book VIII in Greek). Her teaching integrates historical analysis with contemporary philosophical methodology.

Özlem BeyarslanView profile

Associate Professor

• Model Theory
• Field Theory
• Graph Theory
• +2 more

Özlem Beyarslan is an Associate Professor in the Department of Mathematics at Boğaziçi University, located in Istanbul, Turkey. She holds a Ph.D. in Mathematics from the University of Illinois at Chicago (2006), an M.S. from Boğaziçi University (1999), and a B.S. in Mathematics from the same institution (1997). Her research focuses on Model Theory, Field Theory, and Graph Theory, with notable contributions to autostructure transformations and classifications of algebraic structures. She has led significant research projects including BAP-7840 (2016) on autostructure transformations of pseudo-finite fields and TÜBİTAK-1001 (2020–2023) on the classification of groups acting on objects. Courses taught recently include Math 222, Math 221, Math 58N, and foundational courses like Math 101. No scientific awards are explicitly listed, though her involvement in national research grants highlights her academic contributions. Advising records and lab affiliations are not detailed in the provided texts.

Şehrabani ALLAHVERDİYEVAView profile

Professor

• Contemporary Turkish Dialects
• Contemporary Turkish Literatures
• Anonymous Folk Literature
• +4 more

Şehrabani ALLAHVERDİYEVA is a Professor at Adıyaman University's Faculty of Arts and Sciences, Department of Turkish Language and Literature. Born in 1959 in Qazax, Azerbaijan, she completed her doctorate at Baku State University (1997–1999) after earning her undergraduate degree in Philology from the same institution (1976–1981). Her academic career includes roles at Azerbaijan Architecture and Construction University (1995–2009), Çukurova University (2007–2008), and Adıyaman University (2009–present), where she became a full professor in 2011. Her research spans: Contemporary Turkish Dialects : Analysis of linguistic features across Turkic languages. Anonymous Folk Literature : Study of oral traditions and minstrel poetry. Philology & Linguistics : Focus on verb morphology, phraseology, and computational applications. Publications emphasize Turkic philology, including cross-linguistic comparisons of Azerbaijani, Turkish, and Russian, with recurring themes of dialectology, literary analysis, and cultural anthropology. Her most recent works (2022–2023) explore verb categorization, toponymy, and digital linguistics. No awards, grants, or student advisorship details are documented. She maintains an active research profile with no indication of retirement or part-time status.

Alper Kürşat UysalView profile

Associate Professor

• Text Classification
• Feature Selection
• Pattern Recognition
• +2 more

Alper Kürşat Uysal is an Associate Professor of Computer Engineering at Alanya Alaaddin Keykubat University. His research develops advanced text classification algorithms and feature selection methods, with applications ranging from spam detection to educational analytics. Research foci: Novel feature selection metrics for text data Imbalanced text classification techniques Short text analysis methodologies Multilingual spam detection systems Affective computing in educational contexts Uysal's publications introduce innovative approaches to feature selection, including the Extensive Feature Selector method and specialized metrics for short text datasets. His work addresses practical challenges in Turkish-language social media content moderation and develops automatic classification systems for educational applications. Recent research examines how feature selection impacts classifier performance on imbalanced text corpora.

• Computer Vision
• Deep Learning
• Agricultural Technology
• +3 more

Hülya Yalçın is an Assistant Professor in the Department of Mechanical Engineering at Istanbul Technical University. Her research primarily focuses on the application of computer vision and deep learning techniques to solve real-world problems across diverse domains including agriculture, robotics, and human-computer interaction. Research Focus Yalçın's research integrates computer vision , deep learning , and robotics to address challenges in: Agricultural technology (plant recognition, crop yield prediction, growth monitoring) Human biomechanics (prosthetics control, musculoskeletal modeling) Intelligent systems (mobile robot navigation, speech recognition) Healthcare applications (exer-gaming for elderly rehabilitation) Research Trends Analysis of recent publications (2019-2023) reveals three dominant themes: (1) Advanced applications of convolutional and recurrent neural networks in agricultural image analysis, (2) Biomechanical modeling using reinforcement learning for rehabilitation devices, and (3) Optimization techniques for resource-constrained domains like low-resource speech recognition and mobile robotics. Projects and Supervision She has led four major research projects: Plant Classification and Yield Estimation (2018-2020): Developed computer vision techniques for agricultural monitoring Big Data Infrastructure (2017-2018): Mobile dataset management for analytics competitions UAV-based Depth Mapping (2016-2019): Single-camera 3D reconstruction using drones AISENSE Exer-gaming (2011-2015): HCI and computer vision for elderly health improvement Has supervised 10 student researchers.

Mustafa AltunView profile

Professor

• Turkish Language Education
• Teaching Turkish as a Foreign Language
• Applied Linguistics
• +12 more

Prof. Dr. Mustafa Altun is a faculty member at Sakarya University’s Faculty of Education, Department of Turkish and Social Sciences Education. He holds a PhD in Turkish Language and Literature from Istanbul University and has been actively contributing to the fields of Turkish language education, linguistics, and teaching Turkish as a foreign language. His academic service includes teaching at both undergraduate and graduate levels, supervising theses, and leading research projects. His research interests include Turkish language education, applied linguistics, teaching Turkish as a foreign language, Turkish grammar, curriculum development, values education, old Turkish literature, language acquisition, and educational technology. These themes are reflected in his extensive publication record, which spans journal articles, book chapters, and authored volumes. The recent scholarly publications of Prof. Altun demonstrate a strong focus on pedagogical innovation, assessment in language learning, and the integration of technology in teaching Turkish. His work often bridges theoretical linguistics with practical classroom applications, particularly in the context of foreign language instruction. He has contributed to the development of teaching materials, evaluation scales, and curriculum analysis, especially regarding Turkish as a foreign language. Prof. Altun has been involved in editorial and peer-review activities for numerous academic journals, including Journal of Language and Linguistic Studies , Turkish Studies , and Uluslararası İnsan Bilimleri Dergisi . He has also participated in national and international academic organizations as a reviewer, editor, and session chair. He has supervised multiple master’s and doctoral theses on topics such as values education in children’s media, Turkish grammar instruction, and foreign language teaching methodologies. Additionally, he has led and participated in several research projects, including Erasmus+ initiatives and national projects funded by the Ministry of National Education. He has also contributed to academic events as an organizer, moderator, and keynote speaker. Prof. Altun has held administrative roles such as Head of the Department of Turkish Education and Director of the Turkish Language Teaching Application and Research Center at Sakarya University. He continues to teach courses such as New Approaches in Linguistics , Teaching Turkish as a Foreign Language , and Ottoman Turkish , contributing to both undergraduate and graduate education.

Erdal ÖZCANView profile

Lecturer

• Turkish Language Education
• Teaching Turkish as a Foreign Language
• Language Teaching Methodology
• +7 more

Lecturer Dr. Erdal ÖZCAN is affiliated with the Department of Turkish and Social Sciences Education at the Faculty of Education, Sakarya University. He teaches undergraduate courses in Turkish language education, children's literature, drama in education, and teaching practice. His academic email is eozcan@sakarya.edu.tr. His research focuses on Turkish language education, particularly teaching Turkish as a foreign or second language. Key areas include digital technologies in language teaching, textbook analysis, teacher training, and language acquisition. He has published in journals and conference proceedings on topics such as gamification (e.g., ClassDojo), readability of textbooks, and academic Turkish for international students. His recent publications show a strong trend in integrating technology into language pedagogy, with studies on digital reality tools, online learning challenges, and use of apps in motivating foreign learners. He also examines curriculum design across countries and the linguistic challenges faced by bilingual Turkish students. Editor of Türkçenin Eğitimi-Öğretimi Üzerine Çalışmalar (2012) Editor of Türkçenin Eğitimi Öğretimi Üzerine Araştırmalar (2012) Editorial board member, Uluslararası Çocuk Edebiyatı ve Eğitim Araştırmaları Dergisi (2022) Dr. ÖZCAN has supervised teaching practice courses and coordinated academic programs such as the Farabi Exchange Program. He has organized academic events like the 'Dünya Dili Türkçe' symposium (2023) and led the Sakarya University Turkish Education Student Club. He has also contributed to national projects on online Turkish teaching for educators abroad. He is actively involved in curriculum development and teacher education, with no indication of part-time or retired status.

• Biomedical Signal Processing
• Medical Imaging
• Deep Learning
• +3 more

Devrim Unay is a Professor in the Department of Electrical-Electronics Engineering at İzmir Democracy University. His research focuses on biomedical signal processing, medical imaging, and AI-driven solutions for healthcare and agriculture. He leads the AIDA (Artificial Intelligence and Data Analytics) Research and Application Center, advancing interdisciplinary projects such as automated cell analysis, tumor suppression nanomedicines, and fruit grading systems. Unay has authored over 50 peer-reviewed publications and contributed to initiatives like the EURASIP Journal on Advances in Signal Processing as an Associate Editor. His work includes datasets like WHAD/CAMAD and software frameworks like BIAFLOWS. He holds roles such as Chair of the IEEE Signal Processing Society’s Challenges and Data Collections Subcommittee. Education: Not explicitly stated in provided texts, inferred via academic rank and publications. Research interests span AI applications in microscopy, CT imaging for disease detection (e.g., COVID-19), and nanomedicine. He leads projects funded by TEYDEB, including cloud-based image analysis tools for industrial applications. His articles emphasize image segmentation, deep learning pipelines, and interdisciplinary collaborations in neuroscience and agriculture. Key Projects: SSNOMBACTER database, Neubias bioimage analysis framework, and AI-driven fruit grading systems. Unay’s contributions include organizing conferences like TıpTekno’22 and serving on technical committees such as IEEE BISP TC and Tübitak ARDEB.

Başak Esin KÖKTÜRK-GÜZELView profile

Assistant Professor

• Statistical Learning Theory
• Signal Processing
• Pattern Recognition
• +5 more

Başak Esin KÖKTÜRK-GÜZEL is an Assistant Professor at İzmir Democracy University's Electrical and Electronics Engineering Department and Co-Founder of Zoi Data. Her research focuses on Image Processing, Machine Learning applications in Marketing AI, and interdisciplinary projects in biotechnology and healthcare. She actively collaborates on initiatives like the ERA-NET NEURON project (Brain-Body interactions) and the INSECTAI Annual Meeting (insect conservation). Recently published work combines statistical methods and machine learning to optimize xylanase production in Fermentation (MDPI). Education: Unspecified in text. Affiliations: İzmir Democracy University, Zoi Data. Research Interests include Statistical Learning Theory, Signal Processing, and real-world applications like Sales Prediction and Customer Segmentation. She emphasizes translating machine learning into practical tools for clinicians and researchers through Zoi Data. Key Projects: Participated in the 2025 ERA-NET NEURON kick-off meeting and presented at the Workshop on Advancing Medical Imaging. Active in COST Action CA22129 for insect monitoring. Grants/Awards: None explicitly mentioned. Collaborative projects highlighted instead. Zoi Data focuses on automated bioanalytical imaging solutions, aligning with her mission to drive healthcare innovation through AI-driven tools.

• Optimization
• Learning Systems
• Image & Video Processing
• +3 more

Dr. Ufuk ÖZKAYA is a Lecturer in the Department of Electrical and Electronics Engineering at Süleyman Demirel University's Faculty of Engineering and Natural Sciences. His research focuses on optimization, learning systems, and image/video processing. He holds a PhD in Electronics and Communication Engineering from Yildiz Technical University (2011), following a Master's (2005) and Bachelor's (2003) from Süleyman Demirel University. His work spans interdisciplinary applications, including Ottoman character recognition, biomedical signal analysis, and generative adversarial networks (GANs) for image processing. Notable contributions include GAN-based text segmentation methods and secure digital image scrambling algorithms. With an h-index of 6 and 133 citations, his research bridges theoretical advancements and practical solutions in telecommunications and medical imaging. Education: BSc (2003), MSc (2005) from Süleyman Demirel University; PhD (2011) from Yildiz Technical University Research Interests: Optimization algorithms, neural networks, biomedical signal processing, document analysis Selected Projects: Development of automated calcium imaging analysis systems, Ottoman document digitization His recent work emphasizes applying deep learning to historical document analysis and medical diagnostics, reflecting a commitment to both technological innovation and cultural preservation.

Ferdi DOĞANView profile

Assistant Professor

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +7 more

Ferdi Doğan is an Assistant Professor in the Department of Computer Engineering at Adıyaman University. He holds a PhD in Software Engineering (2021, Fırat University), an MSc in Computer Systems (2012, Sakarya University), and a BSc in Computer Systems (2002, Selçuk University). His research focuses on artificial intelligence, machine learning, deep learning, image processing, and cybersecurity. He has led TÜBİTAK projects on AI-driven solar panel defect detection, SCADA system security, and post-earthquake psychological analysis using AI. He is a member of IEEE and ACM, and has presented at over 10 international conferences. Professional Experience: Joined Adıyaman University as a Lecturer in 2007, became Department Head (2011-2019), and is currently Director of the Research and Application Center. He advises graduate theses and consults on TÜBİTAK projects. His applied research includes AI in agriculture, solar energy, and SCADA security algorithms. Teaching: Courses include Artificial Neural Networks, Internet Programming, and Software Engineering. He has taught at both undergraduate and graduate levels since 2002, with over 50 recorded courses in programming, algorithms, and web design. Awards: No specific awards listed but has secured TÜBİTAK grants and participated in international projects. His work has been cited over 12 times in peer-reviewed journals.

• Computer Vision
• Deep Learning
• 3D Point Cloud Processing
• +7 more

Yusuf Hüseyin Şahin is an Assistant Professor in the Department of Computer Engineering at Istanbul Technical University, Faculty of Computer and Informatics. He earned all his academic degrees—B.Sc., M.Sc., and Ph.D.—from the same institution in Computer Engineering. His research lies at the intersection of computer vision, deep learning, and 3D data processing, with applications in medical imaging, architectural heritage, and drone-based vision systems. B.Sc., M.Sc., Ph.D. in Computer Engineering, Istanbul Technical University His primary research interests include 3D point cloud processing, deep learning, image segmentation, adversarial attacks, and medical image analysis. He has published extensively on these topics, particularly focusing on point cloud registration, segmentation, and classification using neural networks. His recent work explores uncertainty modeling, active learning, and generative models for both synthetic data creation and real-world applications. The trend in his publications from 2017 to 2024 shows a clear progression from foundational work in CNN-based 3D classification and cerebral vessel analysis to advanced topics such as dynamic graph networks, conformal prediction, and heritage digitization. His work bridges theoretical machine learning with practical applications in healthcare and cultural preservation. He is currently leading a research project titled "Konformal Tahmin ile Sıcaklık Tahmin Modellerinde Doğruluğun Arttırılması" (Improving Temperature Prediction Accuracy Using Conformal Forecasting), funded under the SRP program from 2025 to 2026. This indicates an expanding interest in predictive modeling and uncertainty quantification. While no scientific awards are listed in the provided texts, his h-index of 5 and 293 citations on Scopus reflect an active and growing research profile. Dr. Şahin teaches undergraduate courses such as Data Structures (BLG 223E) and Object-Oriented Programming (BLG 252E). He has no listed advisees or thesis supervision records. He is part of a collaborative research network involving Gozde Unal and other researchers in medical and architectural computer vision. His lab activities appear to focus on deep learning for 3D data, with emphasis on robustness, efficiency, and real-world deployment.