جست‌وجوی استاد و پژوهشگر

Fatma AKALINمشاهده پروفایل

استادیار

• Medical Image Analysis
• Deep Learning
• Bioinformatics
• +۴ مورد دیگر

Dr. Fatma AKALIN serves as an Assistant Professor in the Department of Information Systems Engineering at Sakarya University's Faculty of Computer and Information Sciences. Previously, she held a Research Assistant position at the same institution starting in 2020. Her academic foundation was built through a Bachelor's and Master's in Computer Engineering from Sakarya University. Education: M.Sc. in Computer Engineering, Sakarya University (2018-2020) B.Sc. in Computer Engineering, Sakarya University (2014-2018) Dr. AKALIN's research bridges artificial intelligence with critical medical diagnostics challenges. She pioneers novel applications of deep learning architectures and bio-inspired optimization algorithms across diverse healthcare domains. Her work spans dental radiology for periapical lesion detection, cardiac diagnostics for arrhythmia and heart failure prognosis, gastrointestinal anomaly identification through capsule endoscopy, and genomic sequence analysis for leukemia classification. She has developed specialized techniques including the Crocodile and Egyptian Plover (CEP) optimization algorithm and synthetic data generation methods to address medical data scarcity. Analysis of her 2022-2025 publications reveals a strategic focus on medical image processing with consistent innovation in YOLO-based object detection, ensemble classifiers, and hybrid deep learning models. Her research trajectory demonstrates increasing sophistication in integrating domain-specific constraints with algorithmic advancements, particularly in overcoming data limitations through synthetic data generation and optimization techniques. Dr. AKALIN has not received documented scientific awards or fellowships. Available information does not indicate student advisement or external grant funding. No dedicated research laboratories or collaborative teams are specified in current materials.

MEHMET BASARANمشاهده پروفایل

دانشیار

• STEM Education
• Curriculum Development
• Instructional Design
• +۵ مورد دیگر

Dr. Mehmet Başaran is an Associate Professor at Gaziantep University, College of Education, Department of Educational Sciences . He specializes in curriculum and instruction, with a focus on STEM education, early childhood education, and technology integration in teaching. His career spans roles from Lecturer (2015) to current Associate Professor status (2022), alongside a post-doctorate at the University of Minnesota-Twin Cities (2024). Education : PhD in Educational Sciences (Gaziantep University, 2018), MA in Educational Programs and Instruction (Bilkent University, 2013), BA in Mathematics (Hacettepe University, 2011) His research explores: STEM education across K-12 and teacher training Computational thinking and coding for preschoolers Inquiry-based teaching and educational technology AI applications in education (e.g., ChatGPT studies) Social integration of marginalized groups Recent publications focus on digital tools for early coding, AI impact on medical education, and pandemic-era teaching challenges. He has advised 17 master’s and 1 doctoral student, contributed to 12 book chapters, and participated in TÜBİTAK projects like "STEM&Maker Teacher Training" and "Nuclear Sciences School for Teachers." Scientific awards include 2023 Gaziantep University Science Award and TÜBİTAK advisor prizes. Administrative roles include: Vice Dean (2019-2023) Quality Committee Member (2020) Research Center Deputy Director (2022)

Süleyman Meteمشاهده پروفایل

دانشیار

• Operations Research
• Modeling and Optimization
• Multi-criteria Decision Making
• +۴ مورد دیگر

Süleyman Mete is an Associate Professor in the Industrial Engineering Department at Gaziantep University's Faculty of Engineering. He has been serving in this position since 2021, following previous roles as a Doctor Lecturer at Gaziantep University (2019-2021) and Munzur University (2017-2019). His academic career began as a Research Assistant at Gaziantep University (2011-2016) and Tunceli University (2010-2011). Dr. Mete earned his Doctorate in Industrial Engineering from Gaziantep University (2013-2017), followed by a Master's degree in Industrial Engineering from the same institution (2011-2013). He completed his undergraduate studies in Industrial Engineering at Selcuk University (2005-2010). Dr. Mete's research focuses on Operations Research, Modeling and Optimization, and Multi-criteria Decision Making. His work spans several specialized areas including disassembly line balancing, humanitarian logistics, risk assessment, and fuzzy logic applications. His research integrates mathematical programming with practical industrial applications, particularly in disaster response, sustainable manufacturing, and supply chain optimization. He has developed innovative approaches combining various multi-criteria decision-making methods with fuzzy logic to address complex real-world problems in occupational safety, transportation, and humanitarian aid distribution. His extensive publication record demonstrates a clear trajectory toward increasingly complex applications of optimization techniques, particularly in humanitarian contexts. Recent work shows a strong focus on drone-assisted logistics, urban mobility sustainability, and advanced risk assessment methodologies using various fuzzy set approaches. His research consistently bridges theoretical methodological development with practical applications in industrial engineering problems. University 2% Most Influential Scientist (2023) University 2% Most Influential Scientist (2022) Dr. Mete has successfully supervised numerous graduate students through their thesis work, with a particular focus on humanitarian logistics, disassembly line balancing, and risk assessment applications. His research projects include "Sustainable, Digital, and Smart Humanitarian Logistics in Disaster Relief Operations" (EU-funded) and "Data-Driven and Web-Based Decision Support System Development for Integrated Optimization of Vector Control Process" (Tübitak 1505). He has also served as a visiting researcher at Karlsruhe Institute of Technology (KIT) in Germany under the TÜBİTAK 2219 Postdoctoral Research Program. Dr. Mete's work demonstrates strong integration between theoretical methodological development and practical applications, particularly in humanitarian contexts and industrial engineering problems. His research group appears to focus on optimization techniques applied to real-world challenges in disaster response, sustainable manufacturing, and supply chain management.

Ali Kiliçمشاهده پروفایل

استادیار

• Mechanical Engineering
• Mechatronics
• Robotics
• +۳ مورد دیگر

Ali Kiliç is an Assistant Professor at the Department of Mechanical Engineering , Gaziantep University Faculty of Engineering . He has been actively involved in education, research, and project leadership in mechanical engineering, robotics, mechatronics, and electrospinning technology since 2017. Education: Earned his Doctorate (2016), MSc (2010), and Bachelor's (2005) in Mechanical Engineering, all from Gaziantep University. Research Interests span advanced robotics, mechatronic system design, electrospinning technology, variable stiffness actuators, industrial automation, and 3D printing. His work bridges mechanical design with intelligent control systems and innovative material processing techniques. Article Trends focus on nanofiber production, robotic sorting systems, TRIZ-based design, and filament winding machines. His publications highlight interdisciplinary approaches combining materials science, mechanical engineering, and control theory, with a strong emphasis on industrial applications and process optimization. Thesis Supervision includes doctoral and master's students working on additive manufacturing, variable stiffness actuators, and deep learning applications in food sorting. Collaborations are frequently with Sadettin Kapucu , a prominent researcher in robotics and mechatronics.

• Signal Processing
• Speech and Language Processing
• Machine Learning
• +۳ مورد دیگر

Prof. Dr. Ümit Güz serves as a full-time Professor in the Department of Electrical and Electronics Engineering at Işık University's Faculty of Engineering and Natural Sciences. With over two decades of academic experience, his expertise spans biomedical signal processing, speech technology, and machine learning applications. Education: Post-Doc (2006-2007): SRI International, Menlo Park, CA - Speech Technology and Research Laboratory Post-Doc (2007-2008): UC Berkeley, International Computer Science Institute PhD (1997-2002): Istanbul University, Electronics Engineering MSc (1995-1997): Istanbul University, Electronics Engineering BSc (1990-1994): Istanbul University, Electrical-Electronics Engineering Associate Degree (1988-1990): Yıldız Technical University, Computer Programming His research centers on multimodal biometric systems using ECG and speech signals, medical image compression techniques, and Turkish language processing. Key innovations include SYMPES speech modeling framework and quadtree-based energy pattern blocks for biomedical image compression. His work bridges theoretical signal processing with practical healthcare and security applications. Publication trends reveal consistent focus on biometric identification (fingertip ECG/speech fusion), efficient compression algorithms for medical data (ECG/EEG/images), and semi-supervised learning for Turkish sentence segmentation. Recent work emphasizes multi-view learning strategies and deep neural network integration in compression systems. Scientific Awards: J. William Fulbright International Fellow (Postdoc Scholar Program, USA) Overseas Postdoctoral Research Award (TÜBİTAK BİDEB, Turkey) Prof. Güz has supervised 9 master's theses and 2 PhD dissertations on biometric recognition, speech compression, and medical image processing. His research is supported by TÜBİTAK grants including Project No 107E182 (Turkish spoken language processing) and Project No 10A301 (ECG-based biometric recognition). He actively contributes to IEEE and IEICE as a longstanding member.

Bekir Tevfik Akgünمشاهده پروفایل

استاد

• Artificial Intelligence
• Information Security
• Internet of Things
• +۴ مورد دیگر

Prof. Bekir Tevfik Akgün serves as Professor and Dean of the Faculty of Computer and Information Sciences at Yeditepe University, with prior academic appointments at Istanbul Okan University (Department Head, Institute Director), Ohio State University, and Yildiz Technical University (Dean). His expertise spans artificial intelligence, information security, computer graphics, and distributed systems, supported by extensive research funding and supervision of 19 graduate students. Educational background includes: Ph.D. in Control and Computer Engineering, Istanbul Technical University (1991) M.S. in Control and Computer Engineering, Istanbul Technical University (1984) B.S. in Electrical Engineering, Istanbul State Academy of Engineering and Architecture (1981) His research integrates theoretical and applied computer science, with recent focus on AI-driven environmental monitoring (forest fire detection via drone-IoT networks), bioinformatics security, and advanced color models. Early work established foundational contributions in digital art (marbled paper techniques) and real-time operating systems, evolving into contemporary applications in energy management and autonomous systems. Publication trends since 2001 reveal consistent innovation across domains: computer graphics (2004-2024), distributed systems (2001), and emerging AI/IoT applications (2022-2024). The interdisciplinary nature of his work bridges theoretical computer science with practical implementations in security, environmental science, and human-computer interaction. Scientific Awards: No major scientific awards were listed in the provided information. Advising and Grants: Supervised 18 master's theses and 1 doctoral dissertation covering autonomous vehicles, deep learning, and IoT systems. Secured over 1.5 million Turkish Lira in research funding through TÜBİTAK projects including Smart Renewable Energy Management System (2018-2021, 159,636 TL) and Advanced Autonomous Bus System (2018-2021, 915,810.99 TL), with additional projects in battery management and metrobus efficiency. Labs and Teams: Project descriptions indicate leadership in autonomous systems teams and energy management research groups, though specific laboratory affiliations are not detailed in the source text.

Nergis Aşarمشاهده پروفایل

پژوهشگر

• Human-environment Interactions
• Communication Roles in Environmental Relations
• Information Communication Technology (ICT)
• +۲ مورد دیگر

Nergis Aşar is a Research Assistant at Istanbul Technical University's Department of Landscape Architecture, focusing on interdisciplinary research at the intersection of technology and human-environment interactions. Current affiliation: Istanbul Technical University Department: Landscape Architecture Her research explores how Information Communication Technology (ICT) influences human-environment relationships, with a particular interest in communication roles and digital landscape dynamics. In 2022, she published work analyzing ICT's impact on environmental communication trends, emphasizing digital mediation's role in shaping human-nature interactions.

Özlen Konuمشاهده پروفایل

دانشیار

• Comparative Transcriptomics
• Cancer Systems Biology
• Zebrafish Models
• +۵ مورد دیگر

Özlen Konu is an Associate Professor in the Department of Molecular Biology and Genetics at Bilkent University. Her research focuses on comparative transcriptomics between zebrafish and mammals, cancer systems biology, and zebrafish xenotransplantation models for drug screening in diseases like glioma and NASH. She has contributed to developing bioinformatics tools such as CAP-RNAseq and ZenoFishDb, and her work spans gene-drug-phenotype interactions, RNA-seq analysis, and systems biology applications. B.S. in Biological Sciences, Middle East Technical University (1987) M.S. and Ph.D. in Biology, Texas Tech University (1992, 1999) Postdoctoral Fellow, University of Tennessee at Memphis (2000-2002) Research Interests: Comparative transcriptomics leverages zebrafish-mammal genomic similarities to identify conserved signaling pathways. Her cancer systems biology work integrates RNA-seq and omics data to model gene networks. The Konu Lab also develops zebrafish platforms for xenografts and drug screens in human disease contexts. Publication Trends: Recent articles emphasize drug-induced liver injury, bioinformatics tool development (CAP-RNAseq), and zebrafish models for cancer and disease. Topics include genetic polymorphisms, miRNA profiling, gene network analysis, and computational methods for transcriptomic data. Labs and Collaborations: Leads the Konu Lab (konulab.bilkent.edu.tr) and collaborates with the European Drug-Induced Liver Injury Network (PRO-EURO-DILI-NET). Her work bridges experimental and computational approaches across translational medicine and functional genomics.

Gözde Gül Şahinمشاهده پروفایل

استادیار

• Natural Language Processing
• Semantics
• Procedural Language Understanding
• +۵ مورد دیگر

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
• +۳ مورد دیگر

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.

• Artificial Intelligence
• Robotics
• Reinforcement Learning
• +۳ مورد دیگر

Ozgur S. Oguz is an Assistant Professor in the Department of Computer Engineering at Bilkent University, leading the Learning for Intelligent Robotic Agents (LiRA) Lab. His research focuses on developing algorithms for autonomous agents, emphasizing learning, reasoning, and planning capabilities in robotics and decision-making domains. Prior to joining Bilkent, he was a postdoctoral researcher at the Max Planck Institute for Intelligent Systems and Stuttgart University, and earned his PhD from TU Munich in Human-Robot Interaction (HRI). He holds degrees from UBC and Koç University. His research interests span AI, robotics, reinforcement learning, and robotic manipulation planning. Notable contributions include work on curriculum-based reinforcement learning, safe learning frameworks for dynamical systems, and hybrid planning algorithms for sequential manipulation tasks. He actively teaches courses such as Learning for Robotics (CS 449/549) and Artificial Intelligence (CS 461). Recent publications highlight advancements in diffusion-based curriculum learning, corrected experience replay methods, and neural field representations for articulated object manipulation. His work frequently appears in top venues like NeurIPS, ICRA, and IROS. He mentors graduate and undergraduate students in AI and robotics, with current opportunities for postdoctoral researchers. Key collaborations include projects with the Cluster of Excellence IntCDC and the LiRA Lab’s focus on interdisciplinary robotics research.

• Software Engineering
• Gamification
• Agile Methodologies
• +۵ مورد دیگر

Murat Yilmaz is an Associate Professor at the Department of Computer Engineering , Faculty of Engineering , Gazi University , Turkey. With over 14 years of industrial experience in software development, including roles at Huawei Research Centre and HAVELSAN A.Ş., he bridges academic research with practical software methodologies. Research Focus : Gamification in software engineering, agile transformations, virtual reality (VR) for training, and human-computer interaction. Industrial Collaboration : Partners include Huawei, HAVELSAN A.Ş., Kreatin Studios, and Portakal Technologies. Expertise : Software architecture, empirical research, motivational models, and digital governance in the metaverse. His recent publications explore gamification in sleep health, bias in AI systems, metaverse applications, and microservices decomposition. He employs explainable AI and VR for software process improvement, with a strong emphasis on productivity, fairness, and efficiency in development teams.

Mustafa Kucukislamogluمشاهده پروفایل

استاد

• Organic Chemistry
• Biochemistry
• Medicinal Chemistry
• +۳ مورد دیگر

Prof. Dr. Mustafa Kucukislamoglu is a full professor at the Department of Chemistry , Faculty of Science , Sakarya University , Turkey. He has actively contributed to organic chemistry research, particularly in enzyme inhibition studies and natural compound synthesis, since the early 2000s. Research Interests: Synthesis of natural compounds (flavonoids, coumarins, anthocyanins) Structure-activity relationships (SAR) in enzyme inhibitors Carbonic anhydrase and tyrosinase inhibition mechanisms Solvent-free and green catalytic methods Phthalocyanine and Schiff base derivatives Adsorption of pollutants using bio-based materials Recent Publications focus on medicinally relevant heterocycles, anticancer agents, and Alzheimer's disease multitarget compounds. He has also supervised over 20 thesis projects, including doctoral and master's works on flavonoid synthesis, anthocyanin derivatives, and industrial catalyst applications.

• 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.

• Management Information Systems
• Data Mining
• Data Analysis
• +۱۲ مورد دیگر

Asst. Prof. BAŞAK GÖK is a faculty member in the Department of Management Information Systems at the Faculty of Applied Sciences, Gazi University . She has been affiliated with Gazi University since 2009 and currently holds the academic rank of Assistant Professor. She previously served as a lecturer at Hacı Bayram Veli University and as a visiting researcher and lecturer at Texas Tech University, USA. Her academic career is deeply rooted in interdisciplinary research, bridging education, technology, and management. Her educational background includes: Bachelor's and Master's in Physics Education from Gazi University Second Master's and PhD in Management Information Systems (Interdisciplinary), Gazi University Postdoctorate at Texas Tech University, Institute for Measurement, Methodology, Analysis and Policy (IMMAP), USA (2019–2020) Her research interests span Management Information Systems, Data Mining, Distance Education, Service Quality, Performance Evaluation, Scale Development, Structural Equation Modeling, and Digital Transformation . She applies advanced analytical methods to assess educational technologies, e-commerce platforms, and organizational systems. Her work emphasizes practical solutions in information systems, particularly in education and logistics. She has published extensively in peer-reviewed journals and conferences, with recent work focusing on disinformation detection, financial literacy, warehouse optimization, and 5G technology adoption. Her publications reflect a strong trend in applied data science and decision support systems across educational and business contexts. Scientific Contributions: Active peer reviewer for journals such as Gazi Mühendislik Bilimleri Dergisi , Journal of Information Systems and Management Research , and Information Technologies Journal Contributor to international book chapters on Digital Transformation and Green Computing Member of editorial and review boards for ESCI and nationally indexed journals She has supervised student projects and is currently leading a social research project on the relationship between financial literacy and future anxiety among Gazi University students. She has also participated in an Erasmus-funded project on mobile learning for women artisans. Her academic service includes leadership roles such as Vice Dean (2023–2024) and Deputy Head of Department (2022–2023), demonstrating strong institutional engagement. She is affiliated with research groups and labs focused on data analytics, educational technology, and information systems design , often collaborating with researchers like H. Gökçen and others. Her ongoing work continues to explore digital transformation, AI applications, and sustainability in computing.