جست‌وجوی استاد و پژوهشگر

Faik Boray Tekمشاهده پروفایل

دانشیار

• Medical Image Analysis
• Deep Learning
• Artificial Neural Networks
• +۷ مورد دیگر

Assoc. Prof. Dr. Faik Boray Tek is a faculty member in the Department of Artificial Intelligence and Data Engineering at Istanbul Technical University (ITU), Faculty of Computer and Informatics. He joined ITU in August 2022 after serving as an Assistant Professor in Computer Engineering at Işık University from 2009 to 2022. His research bridges artificial intelligence and healthcare, with a strong focus on medical image analysis. Education: PhD in Medical Image Analysis, University of Westminster, UK (2007) MSc in Electrical and Electronics Engineering, Middle East Technical University (2003) BSc in Electronic Engineering, Başkent University (2000) His research interests include deep learning, artificial neural networks, medical image analysis, malaria diagnosis, and retinal disease detection . He leverages advanced AI models for diagnosing Alzheimer's disease and diabetic retinopathy using optical coherence tomography (OCT) and OCT angiography (OCTA). His work also extends to Text-to-SQL systems and neuron modeling. Recent publications (2023–2025) demonstrate a strong trend in medical AI , particularly in ophthalmology and neurodegenerative disease diagnosis. He employs foundational models, segmentation techniques, and hybrid architectures to analyze OCT and OCTA scans. Additional work focuses on time-series forecasting via enhanced recurrent units and systematic reviews of AI in healthcare. His publications appear in IEEE Access, Pattern Recognition, and UBMK proceedings. Scientific Awards: Above Threshold Award, TÜBİTAK (2024) Dr. Tek leads active research projects funded by TÜBİTAK and ITU-BAP, including "Optical Coherence Tomography (and Angiography) Scans and Deep Learning-Based Alzheimer's Disease Diagnosis" and "Two-Dimensional Adaptive Local Connected Neuron Model" . He has advised multiple theses and supervised research outputs, indicating active mentorship. His collaborations include Heidelberg Collaboratory for Image Processing (2015). He is affiliated with research labs and teams at ITU focused on AI and data engineering, contributing to both academic and applied innovations in medical diagnostics and neural architectures.

• Spatial Audio
• Psychoacoustics
• Binaural Audio Reproduction
• +۷ مورد دیگر

Florian Klein is a Postdoctoral Researcher and Research Assistant at the Electronic Media Technology Group within the Department of Electrical Engineering and Information Technology at Technische Universität Ilmenau. He holds a Dr.-Ing. degree from 2021 and conducts research in spatial audio, binaural synthesis, and auditory perception. Research Interests: His work focuses on psychoacoustics, auditory adaptation, room acoustics, and augmented reality audio. He investigates how listeners perceive and adapt to spatial audio cues, particularly in binaural reproduction systems. His research includes perceptual experiments on externalization, localization, auditory memory, and the impact of room acoustics on virtual auditory experiences. The analysis of his recent publications reveals a strong trend toward understanding perceptual thresholds and memory in spatial audio contexts, with increasing focus on augmented and virtual reality applications. Key themes include just-noticeable differences in reverberation, robust room acoustics estimation, and the creation of open datasets for spatial audio research. Scientific Contributions: Developed methodologies for robust reverberation time estimation in non-ideal conditions. Conducted perceptual studies on auditory memory and room identification. Created and published open datasets (R3VIVAL, SRIR collections) for spatial audio research. Explored perceptual matching of room acoustics for auditory augmented reality. Advising and Grants: While no specific students or grants are mentioned in the provided text, his active publication record and leadership in dataset creation suggest involvement in research projects and potential mentoring of junior researchers. His work is likely supported by institutional or project-based funding related to audio engineering and perception research. Labs and Teams: He is a core member of the Electronic Media Technology Group at TU Ilmenau, working on advanced audio systems and perceptual evaluation. His research utilizes specialized facilities for measuring spatial room impulse responses, including mobile robotic platforms and variable acoustics laboratories.

Nurettin Cenk Turgayمشاهده پروفایل

دانشیار

• Differential Geometry
• Mathematical Analysis
• Geometric Analysis
• +۳ مورد دیگر

Nurettin Cenk Turgay is an Associate Professor in the Department of Mathematics Engineering at Istanbul Technical University. His research focuses on differential geometry, particularly in the study of hypersurfaces, Gauss maps, and biconservative surfaces in various geometric spaces such as Minkowski, Euclidean, and Robertson-Walker spacetimes. He has led several projects funded by TÜBİTAK and SRP, including studies on biconservative hypersurfaces, biharmonic submanifolds, and geometric properties of surfaces in semi-Riemannian manifolds. Key areas of research include the classification of surfaces with specific geometric properties (e.g., pointwise 1-type Gauss maps, constant mean curvature) and the analysis of rotational and helical surfaces in higher-dimensional spaces. His work often involves collaboration with international researchers, emphasizing geometric analysis and applications of partial differential equations in manifold theory. Education: Advanced degrees in Mathematics Engineering (details not specified). Projects: Euclid ve Minkowski uzaylarındaki bikonzörvatif yüzeylerin şekil operatörleri üzerine (2023-2024). Robertson- Walker Uzay Zamanların Alt Manifoldları (2022-2024). YarıRiemannsal uzay formlarındaki bikonzörvatif ve biharmonik yarıminimal yüzeyler (2017-2020). Grants: Multiple TÜBİTAK and SRP grants since 2014. His recent articles (2021-2025) explore topics like biconservative PNMCV surfaces in Minkowski spaces, generalized constant ratio hypersurfaces, and geometric isometries in higher-dimensional Euclidean spaces. Awards and honors are not explicitly mentioned in the provided text.

Atabey Kaygunمشاهده پروفایل

استاد

• Topology
• Geometry
• Algebra
• +۶ مورد دیگر

Prof. Dr. Atabey Kaygun is a full-time Professor at the Department of Mathematics within the Faculty of Letters at Istanbul Technical University. His primary research focuses on pure mathematics including Topology, Geometry, Algebra, and Number Theory, with significant contributions to applied fields like Topological Data Analysis and Quantum Algebra. He holds a PhD from Ohio State University and has held academic positions internationally including at Bahçeşehir University, Max Planck Institute for Mathematics, and the University of Buenos Aires. Research Interests: Prof. Kaygun's work bridges theoretical mathematics with computational applications. His core expertise includes: Algebraic topology (Cyclic Homology, Hochschild Cohomology) Quantum algebra (Hopf algebras, Quantum Groups) Computational topology (Persistent Homology, Topological Data Analysis) Interdisciplinary applications in machine learning and Ottoman historical analysis Publication Trends: His recent articles (2018-2024) demonstrate a dual focus: Theoretical developments in noncommutative geometry and quantum algebras Applied computational methods for topological data analysis and historical text mining Emerging work in educational data mining and stochastic process classification Research Projects & Advising: He leads projects funded by Istanbul Technical University's BAP program: Lefschetz Numbers and Cartan Determinant Conjecture (2022-2024) Dold-Kan Theorem for Crossed Simplicial Groups (2021-2022) Relationships between Topological Data Analysis and Machine Learning (2020-2022) Currently supervising 14 graduate theses in mathematics and computational methods.

Fahrettin Horasanمشاهده پروفایل

دانشیار

• Machine Learning
• Data Security
• Recommender Systems
• +۳ مورد دیگر

Dr. Fahrettin Horasan is an Associate Professor in the Department of Computer Engineering at the Faculty of Engineering and Natural Sciences . His research focuses on applied computational methods in data security, machine learning, and information retrieval systems. Specialized in medical image watermarking and encryption using matrix decomposition techniques (SVD, ULV) Developed novel collaborative filtering recommender systems with hybrid approaches and matrix approximation Contributions in sentiment analysis for healthcare and e-commerce domains His recent publications highlight interdisciplinary work combining cryptology, biomedical imaging, and large-scale data processing. Notable methods include chaotic system-based encryption, latent semantic indexing, and gradient boosting for darknet traffic analysis. While specific awards, educational background, and student advisement details are not publicly detailed in the provided texts, his technical output reflects active engagement in computational science advancements.

AYSUN SUNGURHANمشاهده پروفایل

استاد

• Old Turkish Literature
• Poetic Analysis
• Cultural History
• +۳ مورد دیگر

AYSUN SUNGURHAN is a Professor at the Department of Turkish Language and Literature within the Faculty of Humanities and Social Sciences at Kırıkkale University. She completed her PhD at Gazi University in 1999 with a thesis on Kınalızâde Hasan Çelebi's Tezkiretü'ş-Şu'arâ . Her academic career spans multiple institutions, including Gazi University, Adnan Menderes University, and Kırıkkale University. She specializes in Old Turkish Literature, focusing on poet tezkires, sociocultural and psychological dimensions of classical texts, and historical literary criticism. Education: Bachelor’s in Turkish Language and Literature, Gazi University (1991) Master’s in Turkish Literature, Gazi University (1994) PhD in Turkish Literature, Gazi University (1999) Her research centers on Ottoman poetic anthologies , particularly Kınalı-zade Hasan Çelebi's Tezkiretü'ş-Şu'arâ , analyzing poetic structures , biographical methodologies , and cultural symbolism . She has extensively studied 15th-17th century Turkish poetry, including themes like child-rearing practices , sea imagery , and festive poetry . Recent publications (2024) explore sociocultural and psychological aspects of Ramadan qasidas , 15th-century educational philosophy in Muradnâme , and poetic identity in tezkires. Her work bridges textual criticism , literary historiography , and comparative analysis across Ottoman and Anatolian traditions.

• History of Religions
• Hinduism
• Tantric Traditions
• +۲ مورد دیگر

Dr. Beyza Aybike Deveci is a Research Assistant at the Department of Philosophy and Religious Sciences, Faculty of Theology, Kastamonu University (Turkey). Holding a PhD in History of Religions from Ankara University (2018), she also earned dual master's degrees in Indology (2016) and History of Religions (2017), along with a BA in Theology (2011) and Eastern Languages (2015). Research Focus: Tantric traditions in Hinduism, goddess worship, religious symbolism, cross-cultural comparisons between Western and Eastern religious practices Key Contributions: Expertise in analyzing Tantric rituals, historical reception of Tantra in Turkey, and mythological interpretations in Hindu texts Her publications span journal articles, book chapters, and conference proceedings examining Tantric elements in Hindu festivals, goddess cults, and scriptural interpretations. Recent work explores the eroticization of Tantra in international scholarship and its cultural reception in Turkey. She contributes as an editor to international academic volumes and serves on the editorial board of national journals like Dini Araştırmalar and Doğu Dilleri Dergisi .

• Machine Learning
• Artificial Intelligence
• Natural Language Processing
• +۳ مورد دیگر

Mehmet Salih KURT is a Lecturer in the Department of Computer Software within the Faculty of Engineering at Hakkari University. His academic work focuses on machine learning applications in natural language processing, web technologies, and healthcare diagnostics. Hakkari University, Faculty of Engineering, Department of Computer Software Research Interests : Dr. KURT's research spans Artificial Intelligence with emphasis on Text Classification , Deep Learning for web content analysis, and Machine Learning in medical diagnosis. His work addresses societal challenges like hate speech detection and health informatics. Publication Trends : Recent publications demonstrate expertise in applying Support Vector Machines and Neural Networks to multidisciplinary problems, including social media moderation and diabetes prediction. Common themes include algorithm optimization and real-world implementation. Contact : Email: mehmetsalihkurt@hakkari.edu.tr Phone: +90 (438) 212-12-12 | Internal: 6132

Levent ÇALLIمشاهده پروفایل

دانشیار

• Data Science
• Machine Learning
• Service Quality
• +۵ مورد دیگر

Assoc. Prof. Dr. Levent ÇALLI is an academic at Sakarya University , Faculty of Computer and Information Sciences, Department of Data Science and Analytics. He holds a Doctorate in Production Management and Marketing (2010) and a Post-Doctorate at University of Portsmouth (2014). Academic Rank: Associate Professor (since 2011) Previous Roles: Research Assistant (2008-2011) in Information Systems Engineering, Distance Education Application and Research Center (2004-2008) Research Interests center on data science applications in service quality, technology adoption, and digital transformation. His work employs machine learning , text mining , and topic modeling to analyze customer behavior in sectors like aviation, hospitality, and mobile banking. Recent publications focus on sustainable urban transport and service robotics . Article Trends show a strong focus on machine learning (2016-2025) and technology adoption (2014-2022). Key topics include service robot integration , customer churn analysis , and digital maturity in SMEs. Scientific Awards include: Best Paper - International Joint Conference on Hospitality & Tourism 2021 Sakarya Üniversitesi Bilim Ödülleri - 2025 Academic Duties involve teaching Electronic Commerce , International Marketing , and Database Systems , alongside supervising TÜBİTAK-funded student projects on AI applications in agriculture and logistics.

Tuğrul TAŞCIمشاهده پروفایل

استادیار

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

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

• Turkology
• Turkish Language Education
• Teaching Turkish as a Foreign Language
• +۴ مورد دیگر

Prof. Dr. Hayrullah Kahya is a full-time faculty member at the Faculty of Education, Yildiz Technical University , where he has served since 2011. Appointed as an Assistant Professor in 2011, he was promoted to Associate Professor in 2018 and Professor in 2023. He conducted research at Indiana University Bloomington (2014–2015) under a TÜBİTAK scholarship and has coordinated the Erasmus Program for his department from 2015–2024. He is the founder and editor-in-chief of the IBAD Journal of Social Sciences (since 2016). Education : PhD in Turkish Language Education (Marmara University, 2010) Academic Roles : Assistant Professor (2011), Associate Professor (2018), Professor (2023) International Collaboration : Visiting Scholar at Indiana University (2014–2015) His research focuses on Turkology , Turkish Language Education , and Teaching Turkish as a Foreign Language . His work includes discourse analysis of Ottoman Turkish children’s literature, migration studies through Turkmen genealogy texts like Shajara-i Tarākima , and adaptation of Turkish literature for special education (e.g., Braille versions for visually impaired learners). He has explored syntax flexibility in Turkish, historical media (e.g., Angeliaforos Çocuklar İçün ), and cultural integration through language teaching methods. His publications include two books and numerous articles in SSCI (Q1) , AHCI (Q1) , and Scopus databases. Key projects involve the Uyum Çocuk (Harmonization Child) platform , addressing social sustainability through migrant integration, and critical editions of historical Turkic texts like Mûnisû’l-Uşşâk and Firdavsu’l-İkbal . His editorial work on the IBAD Journal of Social Sciences highlights his commitment to academic dissemination.

• Signal Processing
• Embedded Systems
• Machine Learning
• +۲ مورد دیگر

Dr. Ergun Erçelebi is a Professor at Gaziantep University's College of Engineering , Department of Electrical and Electronics Engineering. With expertise in Signal Processing , Embedded Systems , and Machine Learning , he has led research in power electronics, wireless localization, and biomedical applications. PhD in Electrical-Electronics Engineering (Gaziantep University, 1999) MSc in Electrical-Electronics Engineering (Gaziantep University, 1992) BSc in Electrical-Electronics Engineering (Middle East Technical University, 1990) His research spans power electronics (multilevel inverters, photovoltaic systems), signal processing (speech enhancement, wavelet transforms), and embedded systems (UAV control, RFID localization). Recent work focuses on hybrid optimization techniques and deep learning for harmonic reduction, modulation classification, and biomedical antenna design. His 2021-2024 publications demonstrate trends in machine learning applications for Turkish lira recognition, UAV-bird classification, and metamaterial design. Earlier work (2014-2020) includes energy management systems, medical imaging phantoms, and smart home automation. 2024: Stanford Most Effective Scientists recognition 15+ patents in embedded systems and medical devices He has supervised 7+ graduate student projects and led 8 research grants, including TÜBİTAK 1501 funding for wearable nebulizer design. His work includes developing smart security systems , remote energy management devices , and RFID-based indoor localization solutions.

Hasan Karacaمشاهده پروفایل

دانشیار

• Turkish Language
• Old Anatolian Turkish
• Ottoman Turkish
• +۵ مورد دیگر

Associate Professor Hasan Karaca is affiliated with Gaziantep University's Faculty of Arts and Sciences, Department of Turkish Language and Literature. He specializes in Turkish language, historical linguistics, and syntax, with a focus on Old Anatolian Turkish and Ottoman Turkish. PhD: Cumhuriyet University (2013) MA: Gaziantep University (2004) BA: Ondokuz Mayıs University (1994) His research spans Turkish grammar, semantic structures, and historical linguistic analysis. He has supervised 16 graduate theses on topics like Anatolian Turkish manuscripts, Turkic dialects, and lexical studies. Recent publications focus on syntactic transformations, compound verbs, and morphological patterns in Turkish. He teaches courses including General Linguistics , Semantics , and Turkish Sound History . From 2016-2020, he served as Deputy Director of the Domestic Research Application Center at Gaziantep University.

Serkan Özbayمشاهده پروفایل

دانشیار

• Electrical and Electronics Engineering
• Signal Processing
• Computer Vision
• +۴ مورد دیگر

Serkan Özbay serves as an Associate Professor in the Department of Electrical and Electronics Engineering at Gaziantep University's Faculty of Engineering, Turkey. With academic appointments since 2003, he progressed from Lecturer to his current position (2024), maintaining continuous affiliation with the institution where he also completed all his degrees. His career demonstrates deep institutional integration and vertical advancement within the same department. His academic credentials were entirely earned at Gaziantep University: Doctorate (2007-2015): Institute of Science, Electrical and Electronic Engineering Master's (2003-2006): Institute of Science, Electrical and Electronics Engineering (Thesis) Licence (1997-2002): Faculty of Engineering, Electrical and Electronics Engineering Özbay's research centers on signal processing and machine learning applications, with significant contributions to computer vision for medical diagnostics (sinus segmentation, lung cancer detection) and security systems (image/video forgery analysis). His work bridges theoretical algorithms with practical implementations in edge computing and biomedical devices, evidenced by projects like real-time fall detection systems and metamaterial antennas. Recent publications show intensified focus on deep learning since 2020, particularly convolutional neural networks for medical imaging and object tracking. His publication trajectory reveals strategic interdisciplinary expansion: early work (2007-2015) concentrated on spectrum sensing and wireless communications, while post-2020 output pivoted toward AI-driven medical applications and digital forensics. Approximately 70% of his 22 publications (2019-2023) involve deep learning implementations, with strong institutional collaboration patterns—85% co-authored with Gaziantep University researchers. Journal publications predominantly appear in Q2-Q4 SCI-indexed engineering journals, while conference papers target international venues in computer vision and biomedical engineering. As an academic advisor, Özbay has supervised 16 graduate theses (1 PhD, 15 Master's) between 2017-2025, with 11 completed in 2020-2023 alone. Current advisees include students developing Raspberry Pi-based plate recognition systems and real-time fall detection solutions. He additionally mentors 15 undergraduate students in senior design projects annually, as evidenced by 2024 EEE498/499 project meetings. Administrative leadership includes Deputy Head of Department (2016), Erasmus Coordinator (2015-2016), and Institute Board membership (2020-2023).

• Natural Language Processing
• Generative AI
• Social Computing
• +۵ مورد دیگر

Cagri Toraman is an Assistant Professor at Middle East Technical University's Computer Engineering Department, leading the Applied NLP Group. He holds a PhD in Computer Science from Bilkent University (2017) and has industry experience as Software Engineer (Havelsan 2017-2018), Postdoctoral Research Scientist (University of Central Florida 2018-2019), and NLP Team Lead (Aselsan 2020-2023). PhD in Computer Science (Bilkent University, 2017) Postdoctoral Research Scientist (University of Central Florida, 2018-2019) NLP Team Lead (Aselsan, 2020-2023) His research focuses on Natural Language Processing , Generative AI , and Social Computing , with particular emphasis on low-resource language adaptation, hate speech detection, multimodal analysis, and misinformation identification. Recent work examines dataset quality evaluation, transformer optimization with tweet-specific elements, and pejorative language disambiguation for misogyny detection. Notable achievements include receiving the Google Gemma Academic Research Award 2024 . He teaches core courses in Data Structures and Applied Natural Language Processing , emphasizing both theoretical foundations and practical implementation. Research trends show expertise across: Multilingual dataset creation (MiDe22, JL-Hate) Transformer-based hate speech detection Generative AI adaptation for Turkish Ensemble learning in socio-political event extraction Contextual word embeddings analysis Conversational system robustness