جست‌وجوی استاد و پژوهشگر

Emre Ugurمشاهده پروفایل

دانشیار

• Robotics
• Robot Learning
• Cognitive Robotics
• +۵ مورد دیگر

Emre Ugur is an Associate Professor in the Department of Computer Engineering at Bogazici University, where he serves as the head of the Cognition, Learning and Robotics (CoLoRs) laboratory. His research focuses on bridging the gap between continuous sensorimotor experiences and discrete symbolic representations in robotics. Funded by major international sources including the European Commission's Horizon 2020 program and TUBITAK, his work has significant implications for cognitive robotics and autonomous systems. Education: PhD in Computer Engineering from Middle East Technical University (METU, Turkey) Ugur's research interests center on cognitive and developmental approaches to robotics, with particular emphasis on neuro-symbolic integration, affordance learning, and symbol emergence. His work explores how robots can autonomously develop high-level cognitive capabilities through continuous interaction with their environment, similar to human cognitive development. His approach combines machine learning, cognitive science, and robotics to create systems that can learn, predict, and reason about their actions. His recent publications reveal a strong trajectory toward neuro-symbolic robotics, where he develops methods for extracting discrete symbolic representations from continuous sensorimotor experiences. This work enables robots to perform complex planning and reasoning tasks while maintaining connection to physical reality. There is also significant focus on social robotics, particularly in human-robot interaction, social navigation, and embodied cognition. Scientific Awards: The Young Scientist Award by the Science Academy (BAGEP) The Excellence in Teaching Award by the Faculty of Engineering (2023) As Principal Investigator of major projects including INVERSE (EU Horizon 2025), DEEPPLAN (TUBITAK), and previously DEEPSYM and IMAGINE, Ugur has established a robust research program that bridges theoretical advances with practical applications. He has supervised numerous PhD and Master's students who have made significant contributions to the field. His leadership extends to organizing major workshops at top robotics conferences including IROS, RSS, and ICRA. At the Cognition, Learning and Robotics (CoLoRs) lab, Ugur leads research on cognitive robotics, developmental robotics, and neuro-symbolic AI. The lab explores fundamental questions about how robots can develop understanding of their actions, learn from interaction, and form abstract representations necessary for high-level cognition. Current projects focus on symbolic reasoning, prediction, and planning in robotic systems.

• MEMS (Micro-Electro-Mechanical Systems)
• Biosensors
• Biomedical Instrumentation
• +۸ مورد دیگر

Yiğit Dağhan Gökdel is an Associate Professor in the Department of Electrical and Electronics Engineering at Istanbul Bilgi University, Faculty of Engineering and Natural Sciences. He serves as the Chair of the department and advisor to the Rector. His work bridges engineering, biomedical instrumentation, and microsystems, with a strong focus on MEMS, biosensors, and optical devices. He leads the Microsystems Research Group and the Biosensors Research Group, and has coordinated numerous funded research projects from TÜBİTAK and institutional grants. Education: Postdoctoral Research Associate, Biomedical Engineering, University of Texas at Austin, 2012 PhD, Electrical and Electronics Engineering, Bogazici University, 2011 MS, Electrical and Electronics Engineering, Bogazici University, 2007 BS, Electrical and Electronics Engineering, Bilkent University, 2004 His research centers on the design, fabrication, and application of MEMS-based sensors and systems for biomedical and industrial use. Key areas include disposable biosensors for toxin detection, soft robotics sensors, laser scanning confocal microscopy, and structural health monitoring of wind turbines. His work integrates materials science, microfabrication, and system integration for real-world deployment. The 15 most recent publications highlight a consistent trend in developing miniaturized, low-cost, and often disposable MEMS devices for healthcare and environmental monitoring. Topics span piezoresistive sensors, 3D-printed scanners, optical imaging systems, and IoT-enabled monitoring, reflecting a multidisciplinary approach combining electrical engineering, materials, and biomedical applications. Scientific Awards: BAP, Bogazici University Best Dissertation Award, Jun. 2011 He has successfully led multiple research grants, including TÜBİTAK projects on smart home platforms, paper-based biosensors, and biopsy catheters for early cancer detection. He has advised over 18 graduate students, including one PhD and numerous Master’s theses. His leadership extends to editorial roles, program coordination, and institutional governance. Dr. Gökdel leads two active research groups: the Microsystems Research Group and the Biosensors Research Group. These teams focus on developing innovative MEMS solutions for medical diagnostics, industrial monitoring, and robotics, often leveraging 3D printing and low-cost fabrication techniques.

Raif BAYIRمشاهده پروفایل

استاد

• Robotics
• Hybrid and Electric Vehicles
• Artificial Intelligence
• +۳ مورد دیگر

Prof. Dr. Raif Bayır is a Turkish academic at Karabük University's College of Engineering, Department of Mechatronics Engineering. With a career spanning 2000-2024, he has held continuous full-time faculty positions from Assistant Professor to Professor. His research focuses on Robotics, Hybrid/Electric Vehicles, and Artificial Intelligence. Doctorate: Gazi University (2005) - Electronics & Computer Education Postgraduate: Gazi University (1998) - Electronics & Computer Education Undergraduate: Gazi University (1995) - Electronics & Computer Education His work integrates Artificial Intelligence techniques into Electric Vehicle systems, Robotics, and Agricultural Engineering applications. Recent publications emphasize Deep Learning for Mask Detection, Real-Time Battery Monitoring, and Autonomous Navigation Systems. Scientific awards include: 2017 METU Line-Following Robot 1st Prize 2016 TÜBİTAK Domestic Product Award 2015 TÜBİTAK Electromobil Best Design Prize He has advised over 20 graduate theses on topics spanning Electric Vehicle Components, Beehive Monitoring Systems, and Intelligent Control Applications. His research teams have developed multiple TÜBİTAK-supported projects including Automotive Test Stands and Battery Management Systems.

• Image Processing
• Artificial Intelligence
• Machine Learning
• +۶ مورد دیگر

Doç. Dr. Emre Sümer, currently serving as an Associate Professor at the Department of Computer Engineering within Baskent University , focuses on image processing, deep learning, and their applications in medical diagnostics and computer vision. His work bridges artificial intelligence with healthcare and geographic information systems. PhD (2011) : Geodesy and Geographic Information Technologies, Middle East Technical University MS (2004) : Geodesy and Geographic Information Technologies, Middle East Technical University BS (2001) : Computer Engineering, Baskent University His research spans medical imaging (e.g., Parkinson's and Alzheimer's detection), steganography for secure data transmission, and machine learning applications in healthcare and urban planning. Recent publications highlight CNN-based diagnostics, sign language recognition, and innovative advertising systems. Scientific awards include the First Oral Presentation Award at the International Congress on Artificial Intelligence in Health (2020). He has supervised multiple PhD/MSc theses on topics like zero-shot sign language recognition and steganography methods. Email: esumer@baskent.edu.tr

• Ergonomics and Human Factors
• Risk Assessment and Management
• Multi-Criteria Decision Making
• +۶ مورد دیگر

Prof. Dr. Gülin Feryal Ural is a Professor of Industrial Engineering at Baskent University's Faculty of Engineering. With a PhD in Industrial Engineering from Kocaeli University (2013), she has established herself as a prominent researcher in ergonomics, risk assessment, and multi-criteria decision making. Her academic journey includes a Master's in Business Administration (2006) and BSc in Industrial Engineering (2004), both from Kocaeli University. Dr. Ural's educational background is deeply rooted in Industrial Engineering, with a PhD from Kocaeli University in 2013, followed by a Master's degree in Business Administration in 2006 and her undergraduate degree in Industrial Engineering in 2004, all from the same institution. This strong foundation has enabled her to bridge theoretical knowledge with practical applications in her research and teaching. Her research interests span multiple domains within Industrial Engineering, with a strong focus on Ergonomics and Human Factors Management , Risk Assessment and Management , and Multi-Criteria Decision Making methodologies. Dr. Ural has pioneered approaches integrating various decision-making techniques like KEMIRA-M, DEMATEL, and Entropy methods to address complex problems in occupational safety, usability evaluation, and production systems. Her work often bridges theoretical frameworks with practical industrial applications, particularly in healthcare, manufacturing, and educational settings. Analysis of Dr. Ural's extensive publication record reveals a clear trajectory toward increasingly sophisticated risk assessment methodologies and ergonomics applications. She has consistently advanced the integration of multiple decision-making techniques to create holistic assessment frameworks. Her research shows particular strength in adapting these methods to specific industry contexts, from healthcare to manufacturing, and increasingly incorporating machine learning approaches for risk prediction. The interdisciplinary nature of her work is evident in publications spanning engineering, healthcare management, and educational research domains. Dr. Ural has actively contributed to academic service through editorial roles, including membership on the editorial board of the International Journal of Intelligent Computing and Cybernetics and serving as an editor for the International Journal of Lean Six Sigma since 2023. Her teaching portfolio is extensive and reflects her research expertise, covering courses such as Ergonomics and Human Factors Management, Work Study, Lean Production, Occupational Health and Safety, Risk Analysis and Risk Management, and Special Topics in Industrial Engineering. This comprehensive teaching approach ensures her students receive both theoretical foundations and practical applications of Industrial Engineering principles.

• 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.

Süleyman Sadi SEFEROGLUمشاهده پروفایل

استاد

• Educational Technology
• Computer Education
• Instructional Technologies
• +۵ مورد دیگر

Dr. Süleyman Sadi SEFEROGLU is a Professor at Hacettepe University's Faculty of Education, Department of Computer Education and Educational Technologies in Ankara, Turkey. With an extensive publication record spanning over two decades, he has established himself as a leading scholar in educational technology and digital transformation in education. His research interests focus on educational technology, computer education, instructional technologies, digital transformation in education, information and communication technologies, digital literacy and citizenship, technology policy, and artificial intelligence applications in education. His work bridges theoretical frameworks with practical applications in educational settings. Professor SEFEROGLU's recent publications (2022-2025) demonstrate a strong focus on contemporary challenges including digital addiction, AI in education, teacher technostress, digital risk behaviors, and the evolving landscape of educational technology. His research shows a clear trajectory toward understanding the psychological, social, and pedagogical implications of digital transformation in education. He has been actively involved in numerous international conferences as both presenter and invited speaker, reflecting his standing in the educational technology community. His work has increasingly addressed the intersection of emerging technologies like artificial intelligence with educational practice. Professor SEFEROGLU has supervised thesis and dissertation work, though specific student names are not detailed in the available information. His professional activities include participation in accreditation processes and educational policy discussions, particularly regarding Turkey's educational technology initiatives.

Merve AYDINمشاهده پروفایل

مدرس

• Industrial Design
• Human-Computer Interaction
• Inclusive Design
• +۵ مورد دیگر

Merve AYDIN is a Lecturer at Istanbul Beykent University , affiliated with the Vocational School and Design Department . She previously held roles as a Lecturer and Research Assistant at the Applied Sciences College and Industrial Product Design Department at Beykent University. Doctorate : Istanbul Technical University (2016) Master's : Middle East Technical University (2010) Licence : Anadolu University (2005) Her research focuses on Industrial Design , Inclusive Design , and Medical Device Design , with a strong emphasis on Collaborative Design and Traditional Craft Integration . Her recent publications explore deployable structures, human-computer interaction, and inclusive design education. Key trends in her articles include deployable design , contextual user research , and sustainable craft-based practices . Her work bridges academic theory with real-world applications, particularly in enhancing accessibility and preserving artisanal traditions.

• Sociology of the Body
• Sociology of Health
• Sports Sociology
• +۳ مورد دیگر

Cihan AKKAYA is an Assistant Professor at Karabük University's Hasan Doğan Faculty of Sports Sciences, Department of Coaching Education since 2017. Previously, he served as a Research Assistant at Akdeniz University (2005-2015) and held administrative roles as MYO/Yüksekokul Deputy Director (2018-2019). Educational Background: PhD in Sociology, Akdeniz University (2015) Master's in Sociology, Akdeniz University (2009) BA in Sociology, Akdeniz University (2005) His research focuses on Sociology of the Body and Health Sociology , examining topics such as digital culture in sports, gender representations in football media, and social stratification in sports participation. He integrates theoretical frameworks like Bourdieu's habitus and Norbert Elias' civilizing process into sports analysis. The 2023-2021 publications analyze digital transformation in sports (esports, virtual identity), gender dynamics in football media, health behavior patterns, and class-based sports inequality. His methodological approach spans empirical studies, theoretical literature reviews, and cross-cultural comparisons. Advising: He has supervised two master's theses on gender in football media and workplace satisfaction in sports departments. Collaborated with Yılmaz Kaplan (2013-2015) on social class analysis and with Ayşın Sadıglı (2023) on gender studies in sports media. Scientific Impact: With an h-index of 3 and 24 citations, his work appears in journals like Mediterranean Journal of Humanities and Gaziantep University Journal of Social Sciences, alongside book chapters and conference papers.

Gokberk Cinbisمشاهده پروفایل

دانشیار

• data-efficient machine learning
• few-shot learning
• zero-shot learning
• +۶ مورد دیگر

Gökberk Cinbiş is an Associate Professor at the Department of Computer Engineering, Middle East Technical University (METU), leading research in data-efficient machine learning with minimal supervision. His work spans zero-shot, few-shot, weakly-supervised, and self-supervised learning, with applications in vision-language integration and large-scale image/video understanding. PhD from Université de Grenoble (2014) M.A. from Boston University (2010) His research focuses on generative models, meta-learning, and robust computer vision systems. Recent work explores sparsity in parameter-efficient fine-tuning, token embeddings for vocabulary extension, and domain-aware LoRA components for personalization. Notable trends in his publications include: Advancements in zero-shot and few-shot learning Applications in remote sensing (SAR2ET for evapotranspiration) Meta-learning and hybrid augmentation techniques Sign language recognition and industrial vision benchmarks Scientific honors include: Science Academy - Young Scientist Award (BAGEP 2024) Google Faculty Research Award (2019-2020) Best PhD Thesis Prize by AFRIF (2015) Alper Atalay Best Student Paper Award (2016) He has supervised MSc students Gencer Sumbul and Berkan Demirel, secured TUBITAK grants on meta-learning and any-shot learning, and organized workshops on industrial inspection at CVPR and ECCV. Cinbiş leads METU ImageLab, focusing on computer vision and machine learning.

Erol ÖZÇELİKمشاهده پروفایل

استاد

• Cognitive Psychology
• Educational Technology
• Multimedia Learning
• +۷ مورد دیگر

Prof. Dr. Erol ÖZÇELİK is a Professor of Psychology at Atılım University's Faculty of Arts and Sciences. He holds a Ph.D. in Cognitive Sciences from Middle East Technical University and has been a full-time faculty member since 2009. His academic roles include serving as Bologna Coordinator and Chair of the Fun Science Center Management Board. His research focuses on cognitive psychology, educational technology, and neuroscience applications in learning environments. He has advised over 15 master’s students in topics ranging from emotional arousal effects on memory to surgical simulation training. Education: Ph.D. (2008) in Cognitive Sciences from Middle East Technical University, M.Sc. (2002) in Computer and Instructional Technology Education, B.Sc. (1999) in Computer Science. Research Interests: Cognitive mechanisms of learning and memory Impact of emotional arousal on educational outcomes Human-computer interaction in learning environments Neuroscience-based instructional design Simulation-based surgical education Eye-tracking methodologies for cognitive assessment Grants & Projects: Lead investigator on TÜBİTAK-funded projects including 'Küçük Dahiler Bilgisayar Kullanıyor' (Robotics Education) and 'Endoscopy Training Simulation Validation'. Developed the ECE surgical simulation platform validated through 3 published studies. Awards: Recognized for contributions to educational technology and cognitive research through institutional awards at Atılım University and TÜBA grants. Labs/Teams: Active in the Fun Science Center and Educational Computer-Based Environment (ECE) research group. Collaborates with neuroimaging teams at Hacettepe University and computer science groups at Middle East Technical University.

Meltem Aksoyمشاهده پروفایل

دانشیار

• Sustainable Urban Development
• Social Housing Practices
• User Participation in Design
• +۷ مورد دیگر

Meltem Aksoy is an Associate Professor at the Department of Architecture, Istanbul Technical University. Her academic work spans urbanization processes, social housing practices, and digital design technologies, with a particular focus on user participation and ecological sustainability in the built environment. Current affiliation: Department of Architecture, Istanbul Technical University Research themes: Composite cities, informal settlements, parametric design, ambient intelligence Her research explores: Intersections of digital technologies and spatial perception Methodologies for participatory social housing Computational approaches to architectural decision-making Temporal-spatial dynamics in contemporary urbanization Recent publications demonstrate trends in: AI-assisted design negotiation frameworks Fuzzy logic applications in architectural performance Critical analyses of composite urban structures Evolution of home-street relationships She has supervised 33 graduate theses spanning topics from: Architectural essay films Political space narratives Smart facade technologies Urban data representation

Barış Akgünمشاهده پروفایل

استادیار

• Human-Robot Interaction
• Machine Learning for Robotics
• Artificial Intelligence for Robotics
• +۴ مورد دیگر

Barış Akgün is an Assistant Professor at Koç University since September 2016. Previously, he was a Post-Doctoral Fellow at the Electrical and Computer Engineering Department of The University of Texas at Austin. He holds a PhD in Robotics from the Georgia Institute of Technology (2015), an MSc in Computer Science, and a BSc in Mechanical Engineering with a Mechatronics minor from the Middle East Technical University (2010 and 2007, respectively). Research Interests: Designing systems/algorithms for robots to learn from demonstration and autonomously operate in complex environments Human-robot collaboration and safety in shared spaces Machine learning applications for sequential/time-series data His work focuses on enabling robots to operate reliably alongside humans through advanced learning methodologies. No scientific awards or grants have been explicitly mentioned in the provided information. No advising/grant details are available. Current lab/team affiliations are not specified.

Errikos Melissinosمشاهده پروفایل

استادیار

• Macroeconomics
• Finance
• Monetary Economics
• +۳ مورد دیگر

Errikos Melissinos is an Assistant Professor of Finance at Özyeğin University's Faculty of Business. He holds a PhD in Economics from Goethe University Frankfurt, an MA in Economics and Finance from the Barcelona School of Economics, and a Bachelor's in Law from the University of Athens. His research focuses on monetary economics, asset pricing, and computational methods, with special emphasis on real term premia in consumption-based models and solution methods for complex economic models. Prior to his current position, he worked at the Leibniz Institute for Financial Research SAFE and the Deutsche Bundesbank. His research explores topics such as stochastic volatility effects on bond premia, perturbation methods for recursive utility models, and multidimensional skill learning in labor markets. Current work in progress includes analysis of stock market participation and equity premium puzzles, as well as regional Phillips curve dynamics. Teaching responsibilities include courses in Finance (FIN202), Investments (FIN301), and International Finance (FIN401). No scientific awards are explicitly mentioned, though his active research output indicates potential for future recognition. He has no listed advisees/students or grant information in the provided materials. His work frequently intersects with computational techniques applied to macro-finance problems, reflecting a strong methodological focus complementing his theoretical contributions.

• Audio and Speech Processing
• Signal Processing
• Image Processing
• +۳ مورد دیگر

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.