Find Academic Supervisors

• Medical Image Analysis
• Deep Learning
• Machine Learning
• +7 more

İlkay Öksüz is an Associate Professor in the Department of Computer Engineering at Istanbul Technical University (ITU), where he has been serving since 2021, following his appointment as a Doctoral Academic Staff member in 2020. He previously held research positions at King's College London (2017–2020), The University of Edinburgh (2016), and Yale University (2015–2016). He earned his Ph.D. in Computer, Decision and Systems Science from IMT School for Advanced Studies Lucca, Italy, in 2017, under the supervision of Prof. Sotirios Tsaftaris. B.Sc. in Electronics Engineering, Istanbul Technical University (2010) M.Sc. in Electrical-Electronics Engineering, Bahçeşehir University (2013) Ph.D. in Computer, Decision and Systems Science, IMT School for Advanced Studies Lucca (2017) His research focuses on medical image analysis, particularly in cardiac MRI, with core interests in image segmentation, registration, quality assessment, and reconstruction using deep learning. He also explores electricity price forecasting and explainable AI. His work bridges machine learning with clinical applications, aiming to improve diagnostic accuracy and automation in radiology. The 15 most recent publications highlight a strong trend in applying deep learning to medical imaging, especially cardiac and prostate MRI, mammography, and ECG analysis. A significant emphasis is placed on explainability , optimization , and clinical applicability , with frequent participation in MICCAI challenges and collaborations with radiology departments. Projects also extend into energy forecasting, showing interdisciplinary versatility. Scientific awards include: 2024 ITU Young Scientist Award in Engineering 2024 Parlar Research Incentive Award He leads the Predictive Intelligence and Medical Imaging (PIMI) Lab at ITU, mentoring graduate students and managing multiple funded projects, including the TUBITAK International Fellowship. His lab has achieved top placements in national and international AI competitions such as Teknofest and MICCAI challenges. He serves as principal investigator (PI) on several active grants focused on interpretable deep learning for medical imaging and electricity forecasting. The PIMI Lab, under his leadership, actively participates in high-impact medical AI challenges and has consistently achieved top rankings in competitions related to prostate cancer detection, breast imaging, and cardiac MRI reconstruction, demonstrating strong translational research impact.

• Audio and Speech Processing
• Signal Processing
• Image Processing
• +3 more

Serkan KESER is an Associate Professor in the Department of Electrical and Electronics Engineering at the Faculty of Engineering and Architecture, Ahi Evran University, Turkey. He has been serving as a full-time faculty member since 2018 and previously served as Head of Department from 2018-2021. His educational background includes a PhD in Electrical and Electronics Engineering from Eskişehir Osmangazi University (2009-2018), a Master's degree in the same field from the same institution (2005-2008), and a Bachelor's degree in Electrical and Electronics Engineering from Mustafa Kemal University (1999-2005). Dr. KESER's research focuses on three main areas: Audio and Speech Processing : Including speaker identification, isolated word recognition, and speech coding techniques Signal Processing : With applications in fiber optic sensor systems and acoustic positioning Image Processing : Covering face recognition, image compression, and denoising techniques His recent publications demonstrate a strong trend toward integrating machine learning and deep learning approaches with traditional signal processing methods. He has made significant contributions in applying subspace methods to various domains including speech recognition, image processing, and sensor technologies. His work often bridges theoretical signal processing concepts with practical applications in areas like smart home systems, medical imaging, and environmental monitoring. Dr. KESER has successfully supervised five Master's students to completion, with thesis topics spanning deep learning applications for class attendance systems, photovoltaic systems, speaker identification, brain tumor classification, and speech-controlled robotic arms. He has led four research projects, including development of fiber optic motion sensors, smart home models using Arduino microcontrollers, and science outreach initiatives. His teaching portfolio includes advanced courses in digital image processing, artificial neural networks, digital signal processing, and machine learning at both undergraduate and graduate levels. Dr. KESER's research impact is reflected in his publication metrics: 30 total publications with 117 citations (h-index 5) through the UNIS system, 25 publications with 180 citations (h-index 6) on Google Scholar, and strong representation in Scopus and Web of Science databases.

İBRAHİM RIZA HALLAÇView profile

Assistant Professor

• Artificial Intelligence
• Machine Learning
• Parallel and Distributed Systems
• +3 more

İbrahim Rıza Hallaç is an Assistant Professor at RAFET KAYIŞ FACULTY OF ENGINEERING, Department of Computer Engineering. He holds a PhD (2021), Master's (2014), and Bachelor's (2011) in Computer Engineering from Firat University, with doctoral research on social media analysis using deep learning methods under advisor Galip Aydın. His research focuses on: Artificial Intelligence and language models Machine learning for distributed systems Big data analytics and cloud computing Natural language processing applications Social media sentiment analysis Radar-based object detection systems His publications (2015-2024) demonstrate consistent focus on machine learning applications across diverse domains including social network analysis, distributed computing, Turkish NLP, and sensor data processing. Recent works emphasize radar-based multi-target detection (2024), credit scoring models (2023), and wind speed estimation (2023), reflecting expertise in scaling AI solutions for real-world problems. He has led four national R&D projects: Deep Learning-Based Face Recognition Authorization System (2017-2019) DEĞİRMEN Big Data Analysis Platform for Turkish Armed Forces (2017-2021) KOSGEB Innovation Program for Face Recognition Systems (2017-2019) Cloud-Based Social Media Reputation Analysis System (2015-2017) No students, awards, or contact emails are documented in available records.

Selma TekirView profile

Associate Professor

• Natural Language Processing
• Text Mining
• Machine Learning
• +5 more

Selma Tekir is an Associate Professor in the Computer Engineering Department at Izmir Institute of Technology. She completed her undergraduate studies in Computer Engineering at Ege University in 2001, followed by a master's degree from Izmir Institute of Technology in 2004, and earned her PhD from Ege University in 2010. In 2009, she worked as a visiting researcher at the University of Konstanz, Germany. Her educational background includes: B.Sc.: Computer Engineering, Ege University (2001) M.Sc.: Computer Engineering, Izmir Institute of Technology (2004) Ph.D.: Computer Engineering, Ege University (2010) Dr. Tekir's research spans multiple areas of natural language processing and computational linguistics, with a particular focus on Turkish language processing. Her work explores text mining, news analysis, information warfare, and the application of deep learning techniques to linguistic problems. She has made significant contributions to counterfactual detection in Turkish, multi-modal language models, and the integration of symbolic reasoning with neural approaches. Her research often bridges theoretical advances with practical applications, particularly in the Turkish language context which presents unique challenges as a morphologically rich agglutinative language. Analysis of her recent publications reveals a strong trend toward advancing natural language understanding systems for Turkish, developing methods for counterfactual detection, enhancing question answering systems with knowledge graphs, and applying graph neural networks to biological sequence analysis. Her work demonstrates growing interest in combining symbolic reasoning with neural approaches and exploring self-reflection capabilities in language agents. Dr. Tekir has received research funding for projects including: Consistency and Reliability Assessment in News Chains (TÜBİTAK ARDEB 3501) Application of Data Analysis and Visualization Techniques on Historical Sources (BAP) She teaches courses including CENG 381 - Stochastic Processes, CENG 613 - Scientific Research Methods in Computer Science, and SEDS 501 - Introduction to Data Science.

• Technical Textiles
• Textile Science
• Textile Technology
• +2 more

Naciye Sündüz OĞUZ serves as an Assistant Professor at Kastamonu University's Araç Rafet Vergili Vocational School in the Medical Services and Techniques Department since 2025. Previously, she held lecturing positions at Pamukkale University's Faculty of Architecture and Design (2023-2024) and Kastamonu University's Vocational School in Textile, Clothing, Footwear and Leather Department (2012-2025), while also serving as Deputy Director of the Vocational School (2024-2025) and Department Head (2019-2021). Her academic credentials include a PhD in Textile Engineering from Süleyman Demirel University (2019) focusing on radiation-shielding antibacterial fabrics, a Master's degree from the same institution (2012) examining radiation effects on antibacterial properties, and a Bachelor's degree in Textile Engineering from Kahramanmaraş Sütçü İmam University (2009). She maintains proficiency in English with a ÜDS score of 66 (2010). Dr. OĞUZ specializes in Technical Textiles with concentrated expertise in radiation-shielding and antibacterial applications. Her research integrates nanotechnology, functional finishes, and statistical methods to develop advanced medical and protective textiles. She has pioneered work on silver nanoparticle coatings, gamma radiation effects, and Taguchi methodology for textile quality optimization, establishing herself at the intersection of textile engineering and biomedical applications. Her publication portfolio demonstrates consistent focus on radiation protection and antibacterial textile technologies, with recent work emphasizing medical applications of technical textiles and nanosilver-enhanced functionality. The 2023-2024 publications particularly highlight gamma radiation shielding properties and nanosilver applications in woven fabrics, reflecting her ongoing commitment to protective textile innovation. She secured research funding for the project 'Effect of radiation rays on the antibacterial properties of fabrics' (2011-2012) and has maintained significant collaborations with Feyza Akarslan Kodaloğlu (4 publications) and Mehmet Dayık (4 publications). Throughout her career, Dr. OĠUZ has taught diverse vocational courses including Textile Technology, Mathematics, Foreign Language, and specialized subjects like Nanotechnology and Smart Textiles, demonstrating comprehensive pedagogical engagement across engineering and medical domains.

Burak Galip AslanView profile

Lecturer

• Decision-support systems
• Expert systems
• Forecasting
• +7 more

Burak Galip Aslan is a Lecturer in the Computer Engineering Department at Izmir Institute of Technology (IZTECH). He has been affiliated with the institution since 2000. His academic journey includes a B.Sc. in Electrical and Electronics Engineering from Dokuz Eylul University (2000), an M.Sc. in Computer Software from IZTECH (2003), and a Ph.D. in Computer Engineering from Ege University (2010). Education: B.Sc. Electrical and Electronics Engineering, Dokuz Eylul University (2000) M.Sc. Computer Software, Izmir Institute of Technology (2003) Ph.D. Computer Engineering, Ege University (2010) Research Interests: His work focuses on educational technology, adaptive learning systems, and computational methods in education. Key areas include decision-support systems, Bayesian modeling for academic achievement, cloud-based e-learning architectures, and learning style analysis through behavioral data. He also explores hands-on educational approaches in computer hardware instruction for secondary students. Courses Taught: Core courses include Logic Design (CENG 214), Microprocessors (CENG 384), Probability and Statistics (CENG 222), Professional Ethics in Computer Engineering (CENG 411), and Research Methodology (CENG 518). His teaching integrates laboratory work involving digital circuits, microcontroller programming, and ethical considerations in technology. Publications: His research highlights include studies on Bayesian techniques in language education, cloud deployment for e-learning systems, and learning style validation frameworks. Recent work emphasizes practical educational tools like hardware teaching modules for high school students. Laboratory Contributions: Develops hands-on experiments in digital systems design, including BCD-to-7-segment displays, combinational circuits, and microcontroller-based projects. These labs emphasize troubleshooting, ADC interfacing, and embedded systems development.

EMİNE BALCIView profile

Associate Professor

• Learning Disability
• Dyslexia
• Teaching First Reading and Writing
• +3 more

Assoc. Prof. EMİNE BALCI is an Associate Professor in the Department of Basic Education and Classroom Education at the Faculty of Education, Alanya Alaaddin Keykubat University. She holds a PhD in Classroom Education from Gazi University (2015) and has extensive experience in special education, particularly focusing on learning disabilities, dyslexia, and early literacy development. Her academic roles include serving as Vice Dean and Department Head at her institution. Completed a PhD on 'Evaluation of education programs for dyslexia in the US' (2015) Supervised multiple theses addressing educational challenges like differentiated instruction and fair values teaching Active in curriculum development for Turkish language education in primary schools Her research emphasizes early identification of dyslexia risks, multisensory learning interventions, and teacher training. Recent publications (2023) explore phonological awareness development and creative drama methods for communication skills. Engaged in national workshops for updating Turkish language curricula and textbook reviews. No scientific awards explicitly mentioned. Advisory work includes mentoring 10+ graduate students and participating in over 20 academic conferences. Lab/team involvement includes collaborative projects on educational policy and inclusive teaching methods.

Murat İSKENDERView profile

Professor

• Educational Psychology
• Psychological Counseling
• Student Motivation
• +3 more

Prof. Dr. Murat İSKENDER is a Professor at the Department of Educational Sciences, Faculty of Education, Sakarya University. He specializes in educational psychology, psychological counseling, and crisis intervention. His research focuses on student motivation, academic procrastination, and the impact of social support systems. Teaches courses such as Crisis Intervention, Educational Psychology, and Psychological Counseling Seminars. Advised over 30 doctoral and master’s theses, including studies on cyberbullying prevention programs and student stress management. Published extensively in peer-reviewed journals, focusing on topics like attachment theory and educational interventions. His work emphasizes practical applications of psychological principles in educational settings, contributing to student well-being and institutional development.

Muhammed Fatih ADAKView profile

Associate Professor

• Computer Software
• Data Mining
• Artificial Learning
• +7 more

Muhammed Fatih ADAK is an Associate Professor at Sakarya University's Faculty of Computer and Information Sciences, Department of Computer Engineering. His work spans software engineering, artificial intelligence, and sensor systems with applications in energy, healthcare, and industrial automation. Doctorate: Sakarya University (2016) - Electronic Nose Data Classification with AI Master's: Kocaeli University (2012) - Elevator Simulator Design Bachelor's: Dokuz Eylul University (2009) - Computer Engineering Research focuses on machine learning , software testing , fuzzy logic , anomaly detection , and decision support systems . His articles (2013-2024) explore AI-driven solutions for natural gas monitoring, medical diagnostics, and industrial processes. Recent publications include systematic reviews of AI integration in software engineering phases and predictive models for gas consumption and voice pathology. He supervises graduate students and contributes to academic projects like Smart Gas Sensor Systems and Adaptive Online English Placement Exams . Teaches courses: Data Structures, Fuzzy Logic, Software Testing, Java Programming Co-authored books: Principles of Programming Languages , Visual Programming Managed EU-funded projects like HOPE (street rehabilitation) and AI-Enhanced Performance Evaluation Platforms Develops applications for visually impaired education and workplace safety systems

• Science Education
• Inquiry-Based Learning
• STEM Education
• +6 more

Gökhan Kaya is an Associate Professor at Kastamonu University's Faculty of Education, Department of Mathematics and Science Education. His research focuses on classroom interaction, inquiry-based learning, and STEM education materials. He has participated in EU-funded projects like SAILS and MaSDiV and led national initiatives such as the STEM & Makers Fest/Expo since 2015. Dr. Kaya serves as an associate editor for the Journal of Research in STEM Education and is affiliated with organizations like the European Science Education Research Association (ESERA) and the Fen Eğitimi ve Araştırmaları Derneği (FEAD). PhD in Primary Science Education, Hacettepe University (2017) MSc in Primary Education, Hacettepe University (2011) BSc in Mathematics and Science Education, Hacettepe University (2009) His research emphasizes classroom discourse analysis, formative assessment in science education, and family engagement in STEM. He has developed frameworks for integrating computational thinking into STEM and explored nature-based learning environments like forest schools. His work often addresses diversity in education and equity in teaching practices. Recent publications highlight his contributions to inquiry-based learning, teacher training programs (e.g., ALACT model), and interdisciplinary STEM activities. Notable projects include TÜBİTAK-funded initiatives and EU collaborations on open schooling. Dr. Kaya has advised multiple Master's theses on topics like children's science perception and risk-based play in early education. He has held administrative roles as Bologna Coordinator since 2020 and taught courses spanning scientific research methods, statistics, and early childhood education at both undergraduate and graduate levels. His professional activities include organizing international conferences and serving as a reviewer for academic panels. Dr. Kaya's work bridges science education research with public engagement through initiatives like the STEM Makers Fest.

Gözde Gül ŞahinView profile

Assistant Professor

• Natural Language Processing
• Semantics
• Procedural Language Understanding
• +5 more

Gözde Gül Şahin is an Assistant Professor in the Computer Science and Engineering Department at Koç University's College of Engineering, where she leads research at the intersection of natural language processing and machine learning. She is affiliated with KUIS AI (Koç University Artificial Intelligence Research Center) and serves as Principal Investigator for a major Tübitak-funded project on procedural language understanding. Previously, she was a postdoctoral researcher at the Ubiquitous Knowledge Processing Lab (UKP) at Technical University of Darmstadt, working with Prof. Iryna Gurevych, and completed her PhD at Istanbul Technical University under the supervision of Prof. Eşref Adalı. Dr. Şahin's research focuses on pushing the boundaries of natural language processing by building machine learning models and open-access tools for world's languages, with particular emphasis on semantics, procedural language understanding, and the abstraction and reasoning capabilities of large language models. Her work bridges theoretical linguistics with practical NLP applications, especially for low-resource and morphologically complex languages like Turkish. She has made significant contributions to multilingual probing frameworks, grammatical error correction for Turkish, and understanding how machines can learn from small data through projects like PuzzLing Machines. Her recent publications reveal a consistent research trajectory toward understanding procedural language and improving model generalizability across domains. She has developed frameworks for evaluating multilingual representations (LINSPECTOR), created benchmarks for Turkish language understanding (Cetvel), and investigated how language models process step-by-step instructions. Her work often addresses the gap between high performance on standard NLP tasks and real-world applicability, with a strong focus on making NLP more accessible for underrepresented languages. Scientific Awards Tübitak 2232 B-International Fellowship for Outstanding Researchers (2022) Dr. Şahin actively mentors students, having supervised bachelor's students like Max Eichler (now PhD student at UKP/TU Darmstadt) and pre-doctoral researchers like Haritz Puerto. Her current Tübitak-funded project supports 2 Masters students, 2 PhD students, and one postdoctoral researcher working on "Automatic Learning of Procedural Language from Natural Language Instructions for Intelligent Assistance." She has served as Area Chair for COLING 2022 and organized workshops at major NLP conferences including EMNLP. She leads the GGLab at Koç University, which focuses on developing NLP models and datasets for world's languages, with particular attention to Turkish and other low-resource languages. The lab's work spans multiple dimensions of language understanding, from grammatical error correction (GECTurk) to procedural reasoning and multilingual instruction tuning.

• Computer System Software
• Image Processing
• Programming Languages
• +3 more

Murat IŞIK is a Lecturer in the Department of Computer Engineering at the Faculty of Engineering and Architecture, Kırşehir Ahi Evran University. He has been serving as a full-time faculty member since 2017 and currently holds additional administrative positions as Department Head (since 2025) and Research Application Center Deputy Director (since 2024). PhD in Computer and Information Engineering, Sakarya University (2011-2017) MSc in Computer Engineering, Sakarya University (2009-2011) Bachelor's Degree from Dicle University, Batman Technical Education Faculty (2002-2006) Dr. IŞIK's research spans multiple areas in computer science and engineering, with a focus on artificial intelligence applications. His primary research interests include Computer System Software, Image Processing, Programming Languages, Computer Software and Software Engineering, Machine Learning, and Artificial Intelligence. His work demonstrates a strong interdisciplinary approach, applying computer vision and deep learning techniques to diverse fields including medical diagnostics, education technology, and accessibility solutions. His recent publications show a trend toward practical applications of AI in education, healthcare, and everyday life challenges. He has developed innovative solutions such as real-time assessment systems for primary schools, assistive technology for visually impaired individuals, and classification systems using deep learning approaches. Research World Medal and Research World Excellent Paper Award (2016) Dr. IŞIK has successfully supervised multiple master's students and is actively involved in numerous research projects funded by higher education institutions. His projects range from BCI-supported deep learning models for motor/facial movement detection to AI-assisted insole production and intelligent test systems for primary school students. He has secured funding for projects extending through 2027, demonstrating sustained research productivity. He leads the Computer Engineering department's research efforts and has established collaborations with researchers both within Turkey and internationally, particularly in Iraq. His laboratory work focuses on implementing practical AI solutions with an emphasis on accessibility and educational applications.

• Software Engineering
• Parallel Algorithms
• Computer Networks
• +7 more

Prof. Hasan BULUT is a full-time faculty member at Ege University's Faculty of Computer and Information Sciences, Department of Computer Engineering. His primary research focuses on software engineering, parallel algorithms, computer networks, artificial intelligence, and algorithm design. He has contributed to fields like distributed systems, data structures, and bioinformatics through innovative algorithmic solutions. His academic work spans over two decades, with notable contributions to machine learning applications in energy forecasting, DNA sequence analysis, and cloud computing optimization. Key areas of expertise include hybrid machine translation models, real-time data clustering, and optimization techniques for computational problems. Prof. BULUT's recent publications emphasize interdisciplinary approaches, combining deep learning with traditional methods to solve challenges in healthcare informatics, financial prediction, and bioengineering. His work on network slicing techniques for 5G and beyond networks highlights cutting-edge contributions to modern communication systems. Despite an extensive publication record and collaborations within Ege University, no formal scientific awards or grant information is explicitly mentioned in the provided texts. His academic career includes supervising numerous research projects but specific student advisee details are not documented here.

Elif YıldırımView profile

Researcher

• Statistics
• Machine Learning
• Health Informatics
• +7 more

Elif Yıldırım is a Researcher at the Computer Engineering Department , Istanbul Technical University . She is currently pursuing her PhD in Computer Engineering after completing a Master's degree in Computer Engineering (2022) and a Bachelor's degree in Industrial/Computer Engineering (2016-2020). PhD in Progress: Computer Engineering, Istanbul Technical University (2025) Master's: Computer Engineering, Istanbul Cultural University (2022) Bachelor's: Industrial Engineering & Computer Engineering, Marmara University (2017); Computer Engineering, Istanbul City University (2016) Her research focuses on Statistics and Machine Learning with applications in Health Informatics and Public Health . She specializes in Survival Analysis, Regression Modeling, and Psychometric Scale Validation , particularly in post-pandemic contexts and cross-cultural adaptations. Recent trends show her work spans Nutrition Literacy , Long COVID Prediction , and Joint Modeling of Longitudinal Data . She has published in journals like Frontiers in Nutrition and eBioMedicine while maintaining a Scopus h-index of 22 .

• Turkish Education
• Reading Fluency
• Writing Fluency
• +4 more

Huzeyfe BİLGE serves as an Associate Professor in the Department of Turkish and Social Sciences Education at Kafkas University's Dede Korkut Faculty of Education since 2023. Previously, he held positions as Doctoral Lecturer (2020-2023) and Research Assistant (2017-2020) at the same institution, with additional research experience at Gazi University (2016). His academic credentials include: PhD in Turkish Language Education, Gazi University (2019) Master's in Turkish Education, Erzincan University (2015) Bachelor's in Turkish and Social Sciences Education, Uludağ University (2012) Specializing in Turkish language pedagogy, BİLGE investigates reading fluency , writing fluency , and vocabulary development with particular focus on Turkish as a foreign language learners and bilingual students. His research examines methodological interventions like echo reading, analyzes curriculum evolution (2006-2019 programs), and explores relationships between fluency components and comprehension. His publication record shows consistent scholarly output with 15 recent articles spanning educational assessment, psychometrics, and language teaching methodology. Key trends include increasing emphasis on AI applications in language education (2024), cross-linguistic analysis of Arabic-Turkish learners (2022), and validation of fluency assessment tools using Rasch modeling (2022). No scientific awards are documented in available records. As an academic advisor, he currently supervises one Master's student (Betül Altundal Ökdem, 2025 thesis). His research is supported by two university-funded projects: The Effect of Fluent Reading Practices on Turkish Teacher Candidates' Views on Reading (2018-2021) and Developing Fluent Reading Skills of Students with Reading Difficulties in Middle School (2018-2020). BİLGE teaches 30+ courses including Initial Reading and Writing Instruction , Fluent Reading Skills , and Vocabulary Development across undergraduate and graduate programs. He maintains active professional development through 15+ methodology certificates from AYEUM (2022-2023) and holds membership in the American Psychological Association (2022-present).