جست‌وجوی استاد و پژوهشگر

İsmail ÖZTELمشاهده پروفایل

استادیار

• Artificial Intelligence
• Deep Learning
• Image Processing
• +۳ مورد دیگر

Dr. İsmail ÖZTEL serves as an Assistant Professor in the Department of Computer Engineering at Sakarya University's Faculty of Computer and Information Sciences. He has been a faculty member since 2019, following his tenure as a Research Assistant from 2012-2019 at the same institution. His educational background includes: Doctorate in Computer and Information Engineering (2014-2018) from Sakarya University with thesis on "Facial expression detection on partial and full face images using machine learning methods" Master's Degree in Computer and Information Engineering (2012-2014) from Sakarya University with thesis on "Driver simulator for educational purposes" Bachelor's Degree in Computer Engineering (2007-2011) from Sakarya University Dr. ÖZTEL's research focuses on artificial intelligence, deep learning, and computer vision with significant applications in healthcare, mobile technology, and public safety. His work has evolved from foundational facial expression recognition to sophisticated medical applications including skin disease classification using smartphones, monkeypox detection from skin lesions, and pandemic response systems for face mask detection. His research demonstrates strong interdisciplinary connections between computer science and healthcare. An analysis of his publication trends reveals a clear progression toward increasingly complex deep learning architectures applied to real-world problems, with recent work emphasizing medical applications using mobile technology and public health safety systems. His 2023-2025 publications show particular focus on skin disease classification, intelligent vehicle systems, and hybrid feature extraction methods for pandemic response. Dr. ÖZTEL has served as a reviewer for numerous prestigious journals including Expert Systems With Applications (multiple years), World Wide Web, Multimedia Tools and Applications, and Journal of King Saud University - Computer and Information Sciences, demonstrating his recognition in the academic community across multiple domains. His research projects include work on facial expression detection in open scientific databases (2020), performance evaluation of transfer learning approaches (2019), and current projects on brain tumor classification systems and earthquake safety education for individuals with developmental disabilities. His international research experience includes collaboration with Filiz Bunyak in 2017, indicating global engagement in his field.

Engin Erzinمشاهده پروفایل

استاد

• Artificial Intelligence
• Multimedia Systems
• Computer Vision
• +۶ مورد دیگر

Engin Erzin is a Professor at Koç University's College of Engineering, leading the KUIS AI Lab and Multimedia, Vision and Graphics Lab . His research focuses on AI-driven human-centric systems, affective computing, and multimodal interaction analysis. He has contributed extensively to robotics, speech processing, and human-robot interaction through over 70 peer-reviewed publications since 2008. Research interests include: Affective computing and emotion recognition from speech/gestures Human-robot interaction and socially engaging agents Speech-driven animation and gesture synthesis Multimodal data fusion for interaction analysis Deep learning applications in robotics and biomedical engineering Recent work emphasizes: Developing adaptive pHRI controllers for manufacturing tasks Creating engagement measurement frameworks for human-machine interfaces Advancing Turkish speech recognition through self-supervised learning Designing multimodal databases for interaction studies Labs: KUIS AI Lab : Focuses on AI applications in robotics and human-computer interaction Multimedia Lab : Specializes in vision, graphics, and audiovisual analysis

• Software Engineering
• Real-time Systems
• Medical Informatics
• +۱ مورد دیگر

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 ARSLANمشاهده پروفایل

مدرس

• Database Management Systems
• Data Structures and Algorithms
• Machine Learning
• +۳ مورد دیگر

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.

• Political Communication
• Public Relations
• Social Media Strategies
• +۳ مورد دیگر

Dr. İbrahim Ethem ERDİNÇ is a Lecturer in the Department of Public Relations and Advertising at Kastamonu Üniversitesi. He earned his PhD (2017) and Master's (2010) in Advertising and Promotion from Marmara University, where he also completed his BA (2006) in the Faculty of Communication. Since 2022, he has served as a full-time academic staff member at Kastamonu Üniversitesi, previously working as a Research Assistant at Trabzon Üniversitesi from 2009 to 2022. PhD (2017): Advertising and Promotion, Marmara University Master's (2010): Advertising and Promotion, Marmara University BA (2006): Public Relations and Advertising, Marmara University Associate Degree (2003): Economics and Administrative Programs, Kocaeli University His research focuses on political communication, public relations strategies, and digital media applications. He explores how political actors use social media, cross-cultural advertising dynamics, and institutional identity construction in higher education. His recent work analyzes political campaigns, crisis communication during pandemics, and youth voter behavior. His publications include studies on McDonald's cross-cultural advertising (2025), digital political communication in Turkey (2022), and institutional identity in state universities (2021). He has collaborated with researchers like Özer Silsüpür and Ferda Yağmur Yurtsever, with citations primarily in Turkish academic databases. He has supervised one Master's thesis (Esra Dalfidan, 2024) and teaches courses ranging from Political Communication to Technology Literacy. His academic collaborations include work with Kemal Avcı on institutional image studies.

• Religious Education
• Theology
• Islamic Studies
• +۳ مورد دیگر

Prof. Ahmet KOÇ is a Professor at the Faculty of Theology at 29 Mayıs University. His academic journey includes undergraduate studies (1983), graduate studies (1993), and a doctorate (1996) from Marmara University. He has dedicated his career to advancing religious education and theological studies. Education Background: Bachelor's Degree: Marmara Üniversitesi (1983) Master's Degree: Marmara Üniversitesi (1993) Doctorate: Marmara Üniversitesi (1996) Research Interests: Religious Education methodologies and curriculum development Theological studies focusing on Islamic education and communication Analysis of religious education policies and teacher training Publications reflect a focus on religious education challenges, curriculum design, and theological analysis. His work explores effective communication in religious instruction and the role of Islamic education in contemporary contexts. Advising and Grants: While specific advisees are not listed, his research has addressed teacher training and curriculum development, suggesting involvement in academic mentorship. No grants explicitly mentioned.

• Human-Computer Interaction
• User Interface Design
• Conscious overload and loss in hypermedia educational environments
• +۷ مورد دیگر

Prof. Dr. Muhammet DEMİRBİLEK serves as a Professor in the Faculty of Education, holding joint appointments across the Department of Educational Sciences, Department of Science, and Department of Curriculum and Instruction. His academic work centers on the intersection of educational technology and human cognition within digital learning environments. His educational background includes a Licence in Electronic Engineering from Istanbul University (1993), a Master's degree in Electrical-Electronic Engineering (with thesis) from Istanbul University (1996), and a Doctor of Philosophy in Education from the University of Florida (2004). DEMİRBİLEK's research examines critical challenges in digital education including conscious cognitive overload in hypermedia environments, user interface effectiveness measurement, and the design of immersive learning systems. His work spans simulation-based environments, 3D virtual spaces, educational gaming mechanics, and social network integration in pedagogy. He investigates how multimedia production impacts teaching efficacy while addressing practical implementation challenges in diverse educational contexts. His publication record (2009-2023) reveals consistent focus on technology-mediated learning across international contexts, particularly examining social media's dual role as both distraction and collaborative tool. Key trends include bibliometric analysis of learning analytics, smartphone usage patterns among students, and cross-cultural studies of ICT adoption in European adult education. His work frequently employs mixed-method approaches to evaluate digital tools like GeoGebra in mathematics instruction and lecture capture systems in specialized fields.

Ismail Sengor Altingovdeمشاهده پروفایل

دانشیار

• Information Retrieval
• Web Search and Mining
• Big Data
• +۳ مورد دیگر

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.

Nesli Erdoğmuşمشاهده پروفایل

استادیار

• Biometric Recognition
• Face Recognition
• Fingerprint Recognition
• +۳ مورد دیگر

Nesli Erdoğmuş is an Assistant Professor in the Department of Computer Engineering at the Izmir Institute of Technology (IYTE) . She joined the faculty in 2016 after completing postdoctoral research at Idiap Research Institute in Switzerland and a PhD in Multimedia Communication from EURECOM and Telecom ParisTech, France. Her research focuses on biometric recognition, face and fingerprint authentication, and cybersecurity. Education: B.Sc. and M.Sc. in Electrical and Electronics Engineering, Middle East Technical University (2005, 2008) Ph.D. in Multimedia Communication, EURECOM & Telecom ParisTech, France (2012) Research Interests: Dr. Erdoğmuş leads the CSIGB research group, specializing in anti-spoofing techniques for biometric systems, 3D face recognition, and synthetic data generation for fingerprints. Her work addresses challenges in secure authentication, including spoofing attacks using 3D masks and deep learning-based intrusion detection. Grants & Projects: Synthetic Production of Latent Fingerprints (TÜBİTAK UİDB 2515) Landscape Image Recognition and Turkish Adaptation (TÜBİTAK BİDEB 2236) Labs/Teams: CSIGB Research Group, focusing on biometric systems and computer vision applications.

Reha Civanlarمشاهده پروفایل

استاد

• Computer Networking
• Multimedia Communications
• Wireless Communications
• +۳ مورد دیگر

Reha Civanlar serves as Vice Rector and Founding Dean of the Faculty of Engineering at Ozyegin University, Istanbul, following a distinguished career spanning AT&T Labs-Research, Bell Labs, and DOCOMO USA Labs where he was Executive Vice President (2006-2008). His academic leadership extends to prior roles as Visiting Professor at Koc University (2002-2006) and research department head at major telecommunications laboratories. His educational foundation includes: PhD in Electrical & Electronics Engineering, North Carolina State University (1984) MS in Electrical & Electronics Engineering, METU (1981) BS in Electrical & Electronics Engineering, METU (1976) Dr. Civanlar's research focuses on computer networking and multimedia communications , with pioneering contributions to video compression, wireless systems, and Internet-based multimedia delivery. His work bridges theoretical innovation and practical implementation, particularly in scalable video coding and real-time communication systems. Analysis of his 2015-2021 publications reveals sustained leadership in video conferencing technologies, noise reduction algorithms, and software-defined networking for wireless systems. Key thematic threads include content-adaptive video processing, multi-view video transmission for 3DTV applications, and optimization of multimedia delivery over heterogeneous networks. His scientific recognition includes: IEEE ASSP Group's Best Paper Award (1985) Fulbright Scholar designation IEEE Fellow (2005) Dr. Civanlar has directed major research initiatives including the Visual Communications Research Department at AT&T and DOCOMO's Computer Networks and Media Research Laboratory. He currently provides strategic guidance through advisory roles at Vidyo Inc. (USA) and Argela Teknolojileri AS (Turkey), while shaping academic direction as Vice Rector at Ozyegin University. His laboratory leadership has consistently produced industry-adopted innovations in multimedia communications standards.

Sümeyye KAYNAKمشاهده پروفایل

استادیار

• Artificial Intelligence
• Cloud Computing
• Environmental Informatics
• +۳ مورد دیگر

Sümeyye KAYNAK serves as an Assistant Professor in the Department of Computer Engineering at Sakarya University's Faculty of Computer and Information Sciences. Her academic profile demonstrates interdisciplinary expertise bridging computer science with environmental sustainability and educational technology through computational modeling and data-driven solutions. Her educational foundation includes: Doctorate (2019) from Sakarya University Institute of Science/Computer and Information Engineering with thesis on solar energy potential modeling using 3D data Master's degree (2014) from same institution focusing on AI-based student counseling infrastructure Bachelor's degree (2012) in Computer Engineering from Sakarya University Faculty of Engineering Dr. KAYNAK's research integrates advanced computational methodologies across multiple domains. Her primary focus areas include Artificial Intelligence applications for resource allocation in cloud manufacturing (utilizing genetic algorithms and AHP), Environmental Informatics for flood modeling and hydrological analysis, and Sustainable Energy systems through solar potential estimation tools. Recent work demonstrates significant expansion into geospatial web components for earth science agencies and digital twin frameworks for urban infrastructure resilience, reflecting growing emphasis on climate change adaptation technologies. Publication analysis from 2012-2025 reveals a clear research evolution: early work (2012-2018) concentrated on educational AI systems and solar energy tools, while current output (2023-2025) prioritizes environmental applications with city-scale flood impact modeling, hydroinformatics, and open data frameworks. This trajectory shows increasing sophistication in real-time data analytics and cross-domain integration, particularly between manufacturing systems and environmental monitoring. No scientific awards were documented in the source materials. Regarding academic mentoring, the available documentation contains no references to graduate student supervision or grant-funded research projects. No laboratory affiliations or research team leadership roles were specified in the provided information.

• Web Search Engines
• Text-to-SQL Systems
• Online Social Network Analysis
• +۵ مورد دیگر

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.

Aşkın Demirağمشاهده پروفایل

دانشیار

• Database Management
• Data Mining
• Software Project Management
• +۷ مورد دیگر

Aşkın Demirağ is an Associate Professor at the Department of Information Systems and Technologies, Faculty of Business Sciences at Yeditepe University. He has held academic positions since 2001, including Department Chair and Dean’s Assistant. His research focuses on database management, software methodologies, neuromarketing, and digital transformation. He has supervised over 15 master’s theses and published extensively in international journals. Education: PhD in Information Systems, Marmara University (2004-2011) Master's (Non-Thesis) in Business Administration, Yeditepe University (2002-2004) Bachelor's in Labor Economics, Anadolu University (1993-1999) Research Interests: Combines technical expertise with social analysis, exploring topics like Agile vs. Waterfall software development, neuromarketing's impact on consumer behavior, and ethical challenges in social media surveillance. His work bridges information systems and societal implications of technology. Recent Article Trends: Focus on practical applications of technology in business (e.g., fraud detection, cloud BI solutions) and societal impacts (e.g., elderly media usage, selfie culture). His studies often blend empirical data with theoretical frameworks like panoptic surveillance theory. Awards: Best Presentation Award, University of Minnesota (2014) Administrative Roles: Bologna Coordinator (2011), Department Chair (2015-2020), and Dean’s Assistant (2021). Active in curriculum development and academic policy-making. Labs/Teams: Leads research groups on data mining applications and digital transformation strategies in higher education.

• Computer Science
• Education
• Software Engineering
• +۱۰ مورد دیگر

Assoc. Prof. Güray Tonguç is an Assistant Professor at Akdeniz University, Faculty of Applied Sciences , Department of Management Information Systems. Previously, he served as Lecturer PhD at Akdeniz University's Department of Informatics (2014-2022) and as a Lecturer at Süleyman Demirel University (2008-2014). Education: Doctorate in Energy, Süleyman Demirel University (2002-2014); Master's in Machine Education, Süleyman Demirel University (2004-2007); Bachelor's in Computer Systems Teaching, Süleyman Demirel University (1997-2002) His research spans Computer Science, Education, and Automation , focusing on computer vision, machine learning, and human-computer interaction. Key areas include fish behavior analysis, educational technology, and driver safety systems . Recent publications show trends in applying image processing to biological studies (2025), machine learning for environmental monitoring (2023), and emotional analytics for educational platforms (2020). He has contributed to holographic education (2020), early warning pictograms (2016), and mobile learning (2016) . With 48 WoS publications and H-indices exceeding 50 in multiple databases, his work bridges interdisciplinary domains like agricultural automation, ergonomics, and sustainable technologies . Currently, he applies AI to distance education dynamics and ecological research.

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.