جست‌وجوی استاد و پژوهشگر

Aysun Bozantaمشاهده پروفایل

استادیار

• Reinforcement Learning
• Natural Language Processing
• Data Science
• +۴ مورد دیگر

Aysun Bozanta is an Assistant Professor at Bogazici University, specializing in data-driven research with applications in reinforcement learning, NLP, and social network analytics. She holds a Ph.D. in Management Information Systems from Bogazici University and completed postdoctoral research at Toronto Metropolitan University's Data Science Lab. Education Undergraduate: Işık University, Mathematical Engineering, MIS (DM) M.A.: Boğaziçi University, MIS Ph.D.: Boğaziçi University, MIS Postdoc: Toronto Metropolitan University - Data Science Lab Research Focus Her work bridges machine learning and real-world problems, with emphasis on: reinforcement learning for logistics (food delivery, courier routing), NLP (sentiment analysis, LLM evaluation), and social media analytics (misinformation, public policy responses). Epidemiologic modeling of COVID-19 interventions and recommender systems are additional key areas. Publication Trends Recent articles (2021-2025) reveal a strong focus on applied AI: reinforcement learning optimizes delivery systems; NLP research evaluates Turkish language models and classifies software requirements; COVID-19 studies model policy impacts; and social media analyses explore misinformation propagation. Transformer architectures and replication studies feature prominently. Awards & Recognition Best Paper Award at CASCON'21 for transformer-based requirements classification TUBITAK Post-Doctoral Research Fellowship (2019-Present) Projects & Collaboration Toronto Metropolitan University Project: "Intraday Trading Data Analytics with Financial News from Twitter" (2019-Present, TUBITAK-funded) Toronto Metropolitan University Project: "Getir-Courier Assignment by Reinforcement Learning" (2019-2020) Erasmus+ Project: "Online Vocational Education Platform" (2017-2019) Boğaziçi University Project: "Industry 4.0 Standardization Roadmap for Turkey" (2017-2019) Boğaziçi University Project: "Context-Aware Location Recommender System" (2016-2019) Labs & Teams Affiliated with Toronto Metropolitan University's Data Science Lab during postdoctoral work, focusing on reinforcement learning and NLP projects.

• Medical Oncology
• Lung Cancer
• Breast Cancer
• +۳ مورد دیگر

Professor İRFAN ÇİÇİN is a full-time Professor in the Department of Internal Medicine at Istinye University's Faculty of Medicine, specializing in Medical Oncology. His research spans multiple cancer types, with a focus on biomarker discovery, treatment efficacy, and prognostic modeling in lung, breast, renal, and hepatocellular carcinomas. He actively contributes to multicenter studies, including the Turkish Oncology Group (TOG), enhancing clinical understanding of cancer therapeutics. His research interests center on: Oncological biomarkers (e.g., Prognostic Nutrition Index, ALBI grade) Targeted therapies and biosimilars in advanced cancers Real-world treatment outcomes and survival analysis Recent publications (2020-2023) highlight trends in precision oncology, including validation of risk models, biosimilar efficacy trials, and mechanistic studies on treatment toxicity. No scientific awards are documented in the provided text.

• Social Sciences
• Ethics
• Philosophy
• +۷ مورد دیگر

Assoc. Prof. Salih Yalin is an academic at Erciyes University within the Faculty of Theology, Philosophy and Religious Sciences , specializing in Philosophy and Religious Sciences . With the rank of Associate Professor , his career spans over two decades, including roles as Assistant Professor (2010-2022) and Research Assistant (1998-2010). Education : Doctorate, Erciyes University , 2008 (Islamic Philosophy: Concept of Substance in Ibn Rushd and Suhrawardi) Postgraduate, Erciyes University , 2000 (Categories in Ibn Rushd's Philosophy) Undergraduate, Erciyes University , 1996 (Theology) Research Interests include Islamic Philosophy , Ethics , Political Philosophy , and Comparative Metaphysics . His work focuses on medieval Islamic thinkers like Averroes , Avicenna , and Suhrawardi , analyzing concepts such as justice , moral responsibility , and state theory . Publications highlight trends in Islamic ethical frameworks , political structures , and manuscript studies . Recent works (2024) address Islamic political philosophy , justice theories , and Turkish intellectual history , while earlier studies explore family ethics and metaphysical concepts in medieval Islamic thought. Academic Leadership includes Head of Department (2023–Present) and Vice Dean (2017–2020). He has supervised 15 theseses on topics ranging from Aristotelian ethics to Islamic political theory , and co-authored books analyzing key Islamic philosophical texts.

SERHAT KILIÇARSLANمشاهده پروفایل

دانشیار

• Data Mining
• Machine Learning
• Bioinformatics
• +۲ مورد دیگر

Serhat Kiliçarslan is an Associate Professor at the Software Engineering Department of Bandırma Onyedi Eylül Üniversitesi, Faculty of Engineering and Natural Sciences. He also serves as Deputy Director of the Distance Education Application and Research Center and Deputy Head of the Software Engineering Department. His academic roles include Doctor Lecturer at Bandırma Onyedi Eylül Üniversitesi and Lecturer positions at Gaziosmanpaşa University since 2012. Education: No formal education details provided in the text. His research focuses on data mining, machine learning, bioinformatics, deep learning, and image processing. Key areas include feature extraction methods for agricultural pest classification, medical image analysis using deep learning architectures, and development of novel activation functions for neural networks. His work bridges computer science with applications in healthcare, agriculture, and industrial quality control. Recent publications (2023–2025) highlight advancements in AI-driven solutions for medical diagnosis (e.g., glaucoma, melanoma), agricultural product classification (hazelnuts, apples), and material science modeling. His research emphasizes hybrid approaches combining optimization algorithms with deep learning frameworks. Statistical Contributions: 41 articles (out of 329), 31 papers/congresses (out of 185), and 4 books/chapters (out of 46) within his department attributed to his work. No scientific awards or grant details are mentioned in the provided text. He holds student office hours on Tuesdays 11:00–13:00.

Levent Arslanمشاهده پروفایل

استاد

• Speaker Recognition
• Voice Conversion
• Robust Speech Recognition
• +۵ مورد دیگر

Levent Arslan is a full-time Professor at Boğaziçi University, focusing on speech processing, machine learning, and artificial intelligence. His research interests include speaker recognition, voice conversion, robust speech recognition, and natural language processing. He has contributed extensively to the development of systems for spoken language identification, automated training, and customer experience analytics. His work bridges technical innovations with business applications, such as analyzing corporate strategies in industries like steel manufacturing. Research Highlights: Speaker verification, deep learning for intent detection, cross-cultural business ethics, and automated error correction in NLP. Key Contributions: Over 50 publications since 2001, spanning speech enhancement, voice conversion systems, and educational technology. His recent studies emphasize leveraging transformer models for domain adaptation and addressing data imbalance in NLP tasks. Arslan’s analytical frameworks are applied in call center operations, fraud detection, and enterprise success metrics analysis. While no explicit awards or grants are cited, his work reflects a strong focus on practical solutions for real-world challenges.

• Applied Geophysics
• Geophysical Engineering
• Non-Destructive Testing
• +۴ مورد دیگر

Orhan Apaydın is a Researcher at the Department of Geophysical Engineering, Istanbul Technical University. He holds a PhD in Geophysical Engineering (2023), an MSc with Thesis in Geophysical Engineering (2020), and a BSc in Geophysical Engineering (2014). His research focuses on applied geophysics, particularly Ground Penetrating Radar (GPR), non-destructive testing, and deep learning applications in geophysical imaging. He has contributed to studies on reinforced concrete structure analysis, buried object detection using AI models like Faster R-CNN and YOLOv5, and portable measurement systems for through-obstacle imaging. Education: PhD in Geophysical Engineering (2023), Istanbul Technical University MSc in Geophysical Engineering (2020), Istanbul Technical University BSc in Geophysical Engineering (2014), Istanbul Technical University Research Highlights: His work integrates GPR with advanced computational methods to address challenges in structural integrity assessment and subsurface imaging. Recent studies include developing deep learning algorithms for object detection in GPR data and optimizing portable measurement systems for field applications. Awards: 3rd Best Presentation at the 5th Virtual Student Conference (Society of Exploration Geophysicists, 2021) Grants/Advising: No specific grants or advisee information is available in the provided texts. His current role as a Research Assistant involves academic duties within the department.

Alptekin Temizelمشاهده پروفایل

استاد

• Computer Vision
• Deep Learning
• GPU Computing
• +۳ مورد دیگر

Dr. Alptekin Temizel is a Full Professor at the Graduate School of Informatics, Middle East Technical University (METU), Ankara, Turkey. He leads the METU Deep Learning and Computer Vision Lab (DLCV) and the GPU Research and Education Center. His research focuses on computer vision, deep learning, GPU computing, and medical image analysis. He holds a B.Sc. in Electrical and Electronic Engineering from METU (1999) and a Ph.D. in Computer Vision from the University of Surrey, UK (2006). Affiliations: Executive Board Member, Neuroscience and Neurotechnology Center of Excellence Executive Board Member, METU Center for Image Analysis (OGAM) DLI Certified Instructor and DLI University Ambassador (NVIDIA) Education: B.Sc.: Electrical and Electronic Engineering, METU, Turkey (1999) Ph.D.: Center for Vision, Speech and Signal Processing (CVSSP), University of Surrey, UK (2006) Research Interests: Deep Learning & Computer Vision Applications Medical Image Analysis & Healthcare AI Adversarial Machine Learning & Model Security GPU Parallel Computing & System Optimization Federated Learning in Medical Imaging Recent Achievements: 3rd place in Federated Brain Tumor Segmentation (FeTS) Challenge at MICCAI 2021 Developed SAHI package (2M+ downloads) LIMUC dataset for Ulcerative Colitis endoscopy Teaching: MMI 727: Deep Learning: Methods & Applications MMI 713: Applied Parallel Programming on GPU DI 725: Transformers and Attention-Based Deep Networks MMI 712: Machine Learning Systems Design & Deployment

Ahmet Sayarمشاهده پروفایل

دانشیار

• Distributed Systems
• Big Data
• Data-Intensive Computing
• +۷ مورد دیگر

Assoc. Prof. Dr. Ahmet Sayar is an Associate Professor at the Department of Computer Engineering, Faculty of Engineering at Kocaeli University, Turkey. He holds an M.Sc. (2001) and Ph.D. (2009) in Computer Science from Syracuse and Indiana Universities, USA. His research focuses on Distributed Systems, Big Data, Data-Intensive Computing, Geographic Information Systems (GIS), and Exploratory Data Analysis (EDA). He has co-authored over 150 papers, 15 book chapters, and 1 book. Currently, he serves as Head of Student Affairs at Kocaeli University and as an associate editor for multiple journals. Education: M.Sc. in Computer Science, Syracuse University (2001) Ph.D. in Computer Science, Indiana University (2009) Research Interests: Parallel and Distributed Algorithms Big Data Analytics & Cloud Computing Machine Learning Applications (e.g., Image Processing, NLP) GIS and Remote Sensing Blockchain Technology for IoT and Logistics Recent Trends in Articles: His recent work emphasizes real-time data processing (e.g., video stream analytics), blockchain for supply chains, and AI-driven solutions for healthcare, transportation, and urban management. He explores ethical aspects of web scraping and low-code platforms for process automation. Advising & Grants: Advised 18 master’s/phd theses. Involved in TÜBİTAK projects and KOSGEB innovation programs. Member of editorial boards and national advisory committees. Labs/Teams: Leads university-level student affairs initiatives and collaborates on interdisciplinary projects involving distributed systems and big data frameworks.

• Translation Studies
• Intercultural Education
• Linguistics
• +۴ مورد دیگر

Assoc. Prof. Sadriye GÜNEŞ currently serves as an Associate Professor at Istanbul University, Faculty of Literature, Department of Italian Language and Literature . She holds a PhD in Educational Sciences/Curriculum and Instruction from Yildiz Technical University and has academic credentials in Russian (C1 Advanced), Italian (C1 Advanced), and Bulgarian (C2 Mastery). Education : Doctorate: Yildiz Technical University (2008) Postgraduate: Istanbul University (1999) Undergraduate: Istanbul University (1994) Her research focuses on idioms, translation pedagogy, intercultural education, and cross-linguistic analysis , with particular attention to Bulgarian-Turkish linguistic interactions and metaphorical systems. She has published 47 peer-reviewed works and contributed to EU-funded projects like PERMIT and IPHRAS. Recent publications (2024) explore Bulgarian-Turkish translation dynamics and Italian interjection linguistics . Earlier works analyze animal/plant metaphors, Soviet pseudo-proverbs, and historical grammar comparisons. Her research spans 15 international conferences and includes book chapters on military translation history and multicultural education. Professional roles include Head of Department (2020-2023) and Deputy Head of Department positions. She has supervised 3 theses and participated in 9 funded projects, including TUBITAK grants and Balkan cultural heritage initiatives.

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +۱۲ مورد دیگر

Ahmet Cüneyd Tantuğ is an Associate Professor in the Department of Artificial Intelligence and Data Engineering at the Faculty of Computer and Informatics, Istanbul Technical University (ITU). He has been a core faculty member since 2007 and is among the founders of the ITU Natural Language Processing Group. He has held key administrative roles, including Vice Dean (2011–2015) and Head of IT Department at ITU (2012–2020). BSc, MSc, PhD: Istanbul Technical University, Computer Engineering Guest Researcher: University of Copenhagen, Centre for Language Technology (2006–2007) Dr. Tantuğ’s research spans artificial intelligence, natural language processing, machine learning, and deep learning, with a focus on Turkish and other agglutinative languages. His work includes named entity recognition, dependency parsing, machine translation, word sense disambiguation, and text normalization. He has developed linguistic resources for Turkish and low-resource languages such as Amharic, and has contributed to financial AI and temporal expression extraction. His recent publications highlight advancements in Turkish NLP, including optimal vocabulary sizing, tokenization granularity for LLMs, and transformer-based models for named entity recognition. He has led multiple research projects funded by TÜBİTAK, the European Union, and the Ministry of Development. Scientific awards include: Bedri Karafakioğlu Special Award (2000) Siemens Excellence Award (2007) TeknoGirişim Sermaye Desteği Ödülü (2010) He has supervised numerous master’s and PhD students, with theses on topics such as dependency parsing, named entity recognition, and text normalization. He has also served as a consultant for private sector projects in banking, software, and telecommunications, and as a referee for TÜBİTAK, TEYDEB, and the Ministry of Industry and Technology. Dr. Tantuğ leads and participates in active research projects including Turkish text normalization from user-generated content and improving dependency parsing with augmented features. He is a founding member of the ITU Natural Language Processing Group, which continues to be a central hub for NLP research in Turkey.

• Quranic Recitation (Qiraat)
• Tajweed (Quranic Phonetics and Articulation)
• Quranic Exegesis (Tafsir)
• +۶ مورد دیگر

Mustafa Sağlam is a Lecturer at Nevşehir Hacı Bektaş Veli University, Faculty of Theology, Department of Basic Islamic Sciences. He holds a PhD in Basic Islamic Sciences from Erciyes University and has been serving as a faculty member since 2015, promoted to Doctor Lecturer in 2021. He currently serves in multiple administrative roles, including Vice Dean and Head of Department. Educational Background: PhD in Basic Islamic Sciences, Erciyes University (2020) MA in Basic Islamic Sciences, Erciyes University (2002) Bachelor of Theology, Dokuz Eylül University (1998) His research focuses on Quranic recitation (qiraat), tajweed, tafsir, and the semantic analysis of Quranic terminology. He teaches undergraduate and graduate courses in Quran reading, tecvid, and specialized topics in recitation science. His scholarly work includes extensive publications in the form of books, peer-reviewed articles, and conference papers, often exploring the nuances of Quranic language, variant readings, and their interpretive implications. He is actively involved in major research projects such as 'Kelimat: Words and Concepts with Similar Meanings in the Qur'an' and the Diyanet’s 'Encyclopedia of Quranic Words.' His recent publications reflect a strong emphasis on classical Islamic sciences, particularly in the areas of qiraat methodology, tafsir criticism, and Quranic lexicography. He frequently contributes to academic symposia on Quranic studies, recitation history, and Ottoman scholarship. His work bridges traditional Islamic scholarship with contemporary academic inquiry. Scientific Contributions: Author of over 15 books on Quranic sciences Multiple peer-reviewed articles in journals such as Umde Dini Tetkikler Dergisi and Tefsir Araştırmaları Dergisi Regular presenter at national and international symposia on Quran and tafsir He supervises several doctoral and master’s students in the Department of Basic Islamic Sciences, guiding research on topics related to qiraat, tajweed, and mushaf studies. He is also engaged in institutional leadership as Bologna Coordinator and member of the Quality Board, contributing to academic quality assurance and curriculum development. He is actively involved in research groups and scholarly networks focusing on Quranic interpretation, recitation sciences, and Islamic intellectual history. His blog contributions reflect his engagement with critical thinking, religious education, and Quranic literacy.

Levent Arslanمشاهده پروفایل

استاد

• Speech Recognition
• Speech Synthesis
• Artificial Intelligence
• +۷ مورد دیگر

Prof. Dr. Levent Arslan is a faculty member at Boğaziçi University, where he has served since 1998. He earned his Ph.D. from Duke University in 1996 and worked as a Research Engineer at Entropic Research in the USA before joining academia. He is also the founder and Chairman of the Board at SESTEK, a pioneering company in Turkish speech recognition and synthesis technologies. His research focuses on speech recognition, speech synthesis, assistive technologies, and natural language processing . His innovations have enabled computer access for visually impaired users through synthesized speech. His work bridges academic research and real-world applications in AI-driven voice systems. The analysis of his recent publications reveals a consistent focus on Turkish language speech technologies, including acoustic modeling, speaker adaptation, emotion detection, and robust feature extraction. His work combines deep learning, signal processing, and linguistic analysis to advance voice interfaces in challenging environments. Levent Arslan has made significant contributions to both research and industry. He holds 15 patents and has published extensively in speech technology. His work at SESTEK exemplifies technology transfer from academia to impactful commercial applications. He has advised multiple students and led research projects in speech processing, though specific names are not listed. His lab or research group likely focuses on spoken language systems and AI for accessibility. Future work may involve multilingual voice assistants, low-resource language modeling, and real-time emotion-aware systems.

• Hittitology
• Archaeology
• Ancient Near Eastern Studies
• +۳ مورد دیگر

Dr. Zekiye Nihan Kırçıl is an Assistant Professor in the Department of Archaeology at Kırşehir Ahi Evran University's Faculty of Science and Letters, holding a full-time position since 2025. She specializes in Hittitology, with research encompassing Hittite texts, religious rituals, material culture, and societal structures of ancient Anatolia. Education: PhD in Hittitology, Ankara University (2018–2023) MA in Hittitology, Ankara University (2013–2017) BA in Ancient Languages and Cultures, Ankara University (2006–2011) Research Focus: Her work centers on deciphering Hittite cuneiform texts to explore religious practices (deities, prayers, priestesses), societal norms (professions, nudity), and material culture (architecture, artifacts). She employs comparative analysis with neighboring civilizations like Mesopotamia and Emar. Publications: Her 21 publications (2019–2025) predominantly analyze Hittite philology and archaeology. Recent works investigate Mesopotamian influences in Hittite prayers, divine iconography, and administrative roles, reflecting consistent thematic depth in reconstructing Bronze Age Anatolian societies. Language Proficiency: Advanced English (YDS:65, 2023; YÖKDİL:88, 2018).

• Modern Turkish Language
• Historical Northeastern Turkish Language
• Turkic Languages
• +۴ مورد دیگر

Prof. Dr. Nadir İLHAN is a full-time Professor at Kırşehir Ahi Evran University's Faculty of Arts and Sciences, Department of Turkish Language and Literature. His career spans institutions like Fırat University and Ahi Evran University, with administrative roles including Dean and Department Head. BA, 1987 - Fırat University MA, 1992 - Kirsehir Ahi Evran University PhD, 1998 - Fırat University His research focuses on Modern Turkish Language , Historical Northeastern Turkic Dialects , and lexicography. He explores Turkic language evolution, dialectology, and sociolinguistic patterns, particularly in Anatolian and Central Asian contexts. His recent publications analyze historical dictionaries like Dîvânü Lügati't-Türk , archaic Turkish vocabulary, dialectal plural suffixes, and semantic shifts in literary texts. Articles span journals such as Turkish Studies and Journal of Academic Social Science Studies . He has served as principal investigator for 5 research projects, including Şeyyad İsa'nın Salsal-namesi and Elazığ Dialect Dictionary , with editorial roles in international journals like Uluslararası Yunus Emre Sosyal Bilimler Dergisi (2024 Editor).

• New Media
• Text Mining
• Sentiment Analysis
• +۵ مورد دیگر

Sadettin Demirel is an Assistant Professor at the Department of Journalism, Faculty of Communication, Üsküdar University (Istanbul, Türkiye). Since 2024 he holds a full-time faculty position after serving as a research assistant in 2023; his teaching portfolio spans journalism, data journalism, new-media coding, AI in media and data analytics at both undergraduate and master’s levels. Education BSc, Public Relations and Publicity, Kadir Has University, 2016 MSc, New Media, Kadir Has University, 2018 MSc, Investigative Journalism, University of Gothenburg (Swedish Institute Scholar), 2019 PhD, Journalism, İstanbul University, 2023 – Dissertation: “Analyzing the Relationship Between Emotions and User Interactions in News on Twitter” Research Interests Dr. Demirel’s work lies at the intersection of communication science and computational methods . He applies text mining, sentiment analysis, network analysis and AI-based classification to large-scale social-media data—especially Twitter—to understand public discourse surrounding politics, health crises, emerging technologies and societal events. Core themes include new media, data journalism, social networks, AI perception and digital privacy. Publications at a Glance Across seven Scopus-indexed journal articles (2023-2025) he has examined global AI perceptions, ChatGPT sentiment shifts, COVID-19 vaccine narratives, earthquake reflections, Hagia Sophia debates, metaverse discourse and financial domination communities on Twitter. These studies collectively highlight his methodological rigor in computational communication research and his focus on Turkish and global online publics. Scientific Awards & Fellowships Swedish Institute Scholarship for master’s studies at University of Gothenburg (2018-2019) Administrative & Service Roles Member, Strategy Development Commission (2023–) Member, Faculty Digital Education Commission (2023–) Member, Graduation Commission (2023–) Member, News & Announcements Commission (2023–) Member, Applied Training Areas Commission (2023–) Member, Student Communication Commission (2023–) Founding Board Member, Data Literacy Association (VOYD) (2018–) Teaching & Supervision Dr. Demirel currently teaches 15 distinct courses, including Data Journalism, Coding for New Media, AI Applications, Media & Artificial Intelligence, Digital Storytelling, Data Analytics, Journalism Practice on the Internet, Graduation Projects and Internship . He has not yet listed specific supervised theses. Labs & Teams He actively collaborates with the Data Literacy Association (VOYD), a civil-society initiative he co-founded to promote data literacy, open data and data journalism across Türkiye.