Find Academic Supervisors

• Earthquake Engineering
• Structural Dynamics
• Seismic Risk Assessment
• +3 more

Prof. Dr. Hakkı Polat Gülkan is a Professor at Başkent University's Civil Engineering Department. With a PhD (1971) and Master's (1968) from the University of Illinois in Civil Engineering and a Bachelor's (1966) from METU, his career spans over five decades in earthquake engineering, structural dynamics, and disaster management. PhD: University of Illinois, Civil Engineering (1971) Master's: University of Illinois, Civil Engineering (1968) Bachelor's: Middle East Technical University, Civil Engineering (1966) His research focuses on seismic risk assessment, structural behavior under extreme loads, and disaster mitigation strategies. Key contributions include earthquake simulator development, ground motion analysis, and retrofitting techniques for masonry and reinforced concrete structures. He has published extensively on deformation limits, response spectra, and historical building preservation. Recent work includes 15+ articles from 2024-2012 analyzing Istanbul's seismic hazards, Marmara region dynamics, and post-earthquake structural integrity. Conference papers address Turkey's endemic building vulnerabilities and deformation thresholds for seismic isolation systems. Scientific Achievements: Elected to U.S. National Academy of Engineering (2023) As an active journal reviewer for 13+ publications (2023-2024), he contributes to advancing earthquake engineering discourse. His teaching portfolio includes advanced structural analysis, concrete mechanics, and seismic design courses.

Selin AslanView profile

Assistant Professor

• Applied Mathematics
• Computational Mathematics
• Imaging Science
• +2 more

Selin Aslan serves as an Assistant Professor in the Department of Mathematics at Koç University, Istanbul, Turkey, where she conducts research at the intersection of computational mathematics and imaging science. Her academic appointments and research activities are centered within the university's mathematics department, contributing to both undergraduate and graduate education in mathematical sciences. Her educational qualifications include: PhD in Mathematics from Virginia Polytechnic Institute and State University (2018) Master's in Mathematics from Rochester Institute of Technology (2013) B.A. in Mathematics from Ege University (2010) Dr. Aslan's research program focuses on developing advanced computational methods for solving inverse problems in imaging, with particular expertise in phase retrieval, tomographic reconstruction, and ptychography. Her work bridges theoretical mathematics with practical applications in medical imaging, microscopy, and materials science, emphasizing algorithmic innovation and computational efficiency. She integrates techniques from deep learning, optimization theory, and high-performance computing to address challenges in image reconstruction under physical constraints. Analysis of her publication record reveals a consistent trajectory toward solving complex imaging problems through hybrid approaches that combine physics-based models with data-driven techniques. Her recent work demonstrates increasing emphasis on scalability for large datasets, robustness in photon-limited scenarios, and real-time processing capabilities, with applications spanning biomedical imaging to advanced microscopy. No scientific awards were documented in the available sources. Information regarding student advising and research grant activities was not specified in the provided materials, though her publication record suggests active research collaboration. Her computational focus implies engagement with high-performance computing resources for large-scale image reconstruction tasks. While specific laboratory infrastructure details were unavailable, her research on multi-GPU implementations and distributed computing indicates utilization of advanced computational facilities for handling large-scale imaging datasets.

Özkan KaleView profile

Associate Professor

• Earthquake Engineering
• Engineering Seismology
• Ground Motion Prediction
• +3 more

Özkan Kale is an Associate Professor at the Department of Civil Engineering, TED University. He holds academic affiliations with the Graduate Programs in Civil Engineering and has served as a Coordinator for academic activities. His professional experience includes roles as a research associate at Bogazici University Kandilli Observatory and Earthquake Research Institute (2015) and Rice University (2016). He teaches courses such as 'Structural Analysis', 'Earthquake Resistant Design', and 'Probability and Statistics for Engineers', reflecting his expertise in Civil Engineering education. Dr. Kale's research focuses on earthquake engineering and engineering seismology, particularly ground motion characterization, probabilistic seismic hazard analysis, and seismic design spectra. He has contributed to national and international projects, including the development of ground motion predictive models and strong-motion databases for Turkey and Europe. His work emphasizes uncertainty quantification in seismic evaluations and the application of advanced statistical methods to improve seismic risk assessment. Recent publications highlight his analysis of ground motions from the 2023 Türkiye earthquakes, evaluation of site effects in Kahramanmaraş, and development of regional ground-motion models. His research trends emphasize data-driven methodologies, regional adaptation of models, and practical applications for infrastructure resilience. Dr. Kale advises on academic projects and has been involved in several research grants focused on seismic hazard and risk mitigation. He actively contributes to the TED University academic community through teaching and coordinating graduate programs.

Devrim AKCAView profile

Professor

• Photogrammetry
• Geodesy
• 3D Modeling
• +4 more

Prof. M. Devrim AKCA is a full Professor at the Department of Computer Engineering, Isik University, Istanbul, Turkey. Previously, he held academic positions at the same university in Civil Engineering (2019–2023) and Information Technologies (2009–2011). He earned his PhD in Photogrammetry from ETH Zurich (2007), followed by roles as Senior Research Associate and Research Assistant at ETH's Institute of Geodesy and Photogrammetry. His expertise spans photogrammetry, 3D modeling, laser scanning, and remote sensing. Education: Ph.D. in Geodesy and Photogrammetry (ETH Zurich, 2007) M.Sc. in Geodesy and Photogrammetry (Karadeniz Tech. U., 2000) B.Sc. in Geodesy and Photogrammetry (Karadeniz Tech. U., 1997) Research Interests: Focuses on 3D surface matching, laser scanner data analysis, cultural heritage documentation, and structural deformation monitoring. His work integrates advanced algorithms for precision in geomatics and environmental monitoring. Awards: Carl Pulfrich Award (2009) ETH Silver Medal (2008) ISPRS Young Author Award (2004) Publons Peer Review Awards (2017–2018) Grants & Roles: Editor for journals like ISPRS Photogrammetry and Remote Sensing. Served on technical committees for international conferences. Holds patents on TLS error modeling and mesh reconstruction.

• Wireless Communications
• Intelligent Signal Processing
• Biomedical Engineering
• +3 more

Sanam MOGHADDAMNIA serves as an Assistant Professor in the Department of Electrical and Electronics Engineering at the Faculty of Engineering, Turkish-German University, Turkey. He holds a BSc from Tabriz University (2002), and both MSc (2006) and PhD (2012) degrees in Electrical Engineering from Leibniz Universität Hannover, Germany. Prior to his current position, he worked as a Research Assistant and Postdoctoral Researcher at Leibniz Universität Hannover from 2006 to 2018. His educational background includes: BSc in Electrical and Electronics Engineering from Tabriz University, Iran (1997-2002) MSc in Electrical Engineering and Information Technologies from Leibniz Universität Hannover, Germany (2003-2006) PhD in Electrical Engineering and Computer Science from Leibniz Universität Hannover, Germany (2006-2012) His research spans wireless communications, telemetry, intelligent signal processing, and data analysis with significant applications in healthcare (including ECG-based diagnostics, sepsis prediction, and gait analysis), telecommunications, and industrial sectors. He demonstrates expertise in machine learning applications for biomedical signal interpretation and has contributed to both theoretical wireless communications frameworks and practical medical device assessments. Analysis of his 2016-2024 publications reveals a strategic pivot toward biomedical engineering applications while maintaining core wireless communications research. His work shows increasing focus on non-invasive medical diagnostics using physiological signals, machine learning for healthcare analytics, and precision assessment of medical devices, alongside continued contributions to MIMO systems and channel estimation techniques. Scientific Awards: None mentioned in source material. He actively manages and acquires collaborative research projects with industrial partners across healthcare and telecommunications sectors. No student advisement details are provided in the available documentation. His research involves interdisciplinary collaboration with industrial partners but no specific laboratory or team names are documented in the source material.

Banu Günel KılıçView profile

Professor

• Signal Processing
• Artificial Intelligence
• Software Engineering
• +4 more

Prof. Banu Günel Kılıç is a full-time faculty member at Middle East Technical University (METU), where she holds the rank of Professor in the Graduate School of Informatics, Department of Information Systems. She has served in various academic roles since 2004, including previous appointments as Associate Professor (2014-2022) and Assistant Professor (2010-2014), and currently directs the Graduate School of Informatics. Doctorate: Queen's University of Belfast (2001-2004) Postgraduate: University of Bristol (2000-2001) Undergraduate: METU, Electrical Engineering (1995-2000) Her research focuses on signal processing, cybersecurity, and machine learning, with particular emphasis on intrusion detection systems in software-defined networks, acoustic gunshot localization, auditory attention modeling, and security visualization infrastructures. She has supervised 14+ graduate theses, including work on microservice call graphs and institutional investor networks. Recent publications demonstrate strong interdisciplinary work in machine learning and cybersecurity , with specific applications in intrusion detection, cloud resource allocation, and acoustic signal processing. She has contributed to over 25 peer-reviewed publications and holds two standard patents in acoustic source separation technology. Prof. Kılıç has participated in multiple European Union funded projects including EuroCC2 (2023-2026), EUMaster4HPC (2022-2025), and prior FP7 projects like IRIS and DIOMEDES. Her work bridges traditional acoustic signal processing with modern cybersecurity applications in enterprise environments.

• Optics
• Photonics
• Wireless Optical Communication
• +3 more

Serap Altay Arpali is an Associate Professor at Başkent University's Department of Electrical and Electronics Engineering. Her research focuses on optics, photonics, and biomedical imaging with structured illumination techniques. Education: PhD (2007) from Gazi University, MS (2003) from Çankaya University, BS (1999) from Dumlupınar University Research interests include laser beam propagation through turbulent media, optical wireless communication, and on-chip fluorescence imaging for medical diagnostics. Her recent work has emphasized underwater optical communication systems and biological tissue imaging. Scientific contributions span atmospheric optics, beam shaping, and biomedical device development. Key article trends examine beam propagation in turbulent environments, fluorescent imaging for high-throughput blood screening, and adaptive optics algorithms. Publications range from 2003 to 2022, with recent emphasis on practical biomedical applications. Current affiliations include: Department of Electrical and Electronics Engineering, Başkent University Postdoctoral Researcher at University of California Los Angeles (2012)

• Geographic Information Systems (GIS)
• Remote Sensing
• Photogrammetry
• +5 more

Prof. Dursun Zafer Şeker is a faculty member at Istanbul Technical University , where he holds the Department of Geomatics Engineering within the Faculty of Civil Engineering . His work spans Geographic Information Systems , Remote Sensing , and Photogrammetry , with a focus on integrating Deep Learning and UAV technologies for disaster management, environmental monitoring, and infrastructure analysis. Education: PhD in Geodesy and Photogrammetry Engineering (1989) and Master's in Photogrammetry Engineering (1985), both from Istanbul Technical University. Career: Progressed from Research Assistant (1986-1996) to Professor (2004-present), with administrative roles in academic governance. His research explores GIS applications in transportation accessibility, forest fire prevention, and earthquake response. He has pioneered the use of Deep Learning for medical imaging (e.g., multiple sclerosis lesion segmentation) and agricultural disease classification , while also advancing UAV-based monitoring for coastal and archaeological sites. Recent publications highlight a shift toward AI-driven remote sensing for disaster resilience, including super-resolution techniques for historical imagery and object detection in post-earthquake building collapse mapping. Trends emphasize multi-source data fusion (LiDAR, satellite), climate change adaptation , and urban sustainability . Scientific Awards: Dursun Zafer Şeker Prize, FIG Young Surveyors' Competition (2023) Best Poster/Best Short Presentation Awards at MESAEP (2017), Selçuk University (2016), and Çukurova University (2016) Recognition at International Conferences (2015-2025) for remote sensing and geospatial innovation. As an advisor, he has supervised over 20 PhD and Master’s students , spanning topics like gas pipeline leak detection , PM2.5 prediction , and solar plant site selection . His grants include projects funded by TÜBİTAK and Ministry of Development , such as ORBIS and Forest Fire Decision Support Systems . He also serves on editorial boards for International Journal of Environment and Geoinformatics and Map Magazine .

Ahmet SayarView profile

Associate Professor

• Distributed Systems
• Big Data
• Data-Intensive Computing
• +7 more

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

• Relational Database Management Systems
• Software Engineering
• Algorithm Analysis and Data Structures
• +3 more

Prof. Dr. Ayla Sayli serves as a Professor in the Department of Mathematics Engineering at Yildiz Technical University's Faculty of Chemical and Metallurgical Engineering, Istanbul, Turkey. She has maintained continuous academic service at YTU since 1999, progressing from Assistant Professor (1999-2010) to Associate Professor (2011-2017), and achieving full Professorship in 2017. Her administrative contributions include ERASMUS coordination roles within YTU's EU Office from 2003-2010. Her academic credentials feature: BSc in Mathematical Engineering from Yildiz Technical University (1989) MSc in Mathematical Engineering from Yildiz Technical University (1991) PhD in Computer Science from University of Essex, UK (1999) Her research spans critical computational domains including database systems, software development methodologies, algorithmic complexity, and data-intensive technologies. Her work integrates theoretical computer science with practical engineering applications, particularly in relational database optimization, software lifecycle management, and emerging big data analytics frameworks. Current investigations focus on scalable data mining techniques and system design paradigms for complex information environments. Scientific Awards: No specific awards were documented in the source material. Prof. Sayli has supervised 11 thesis projects while actively participating in 3+ research initiatives funded by DPT, TUBITAK, and European Union programs since 2006. Her project leadership encompasses both technical execution as team member and strategic guidance as consultant across multidisciplinary R&D endeavors.

Can YÜZKOLLARView profile

Assistant Professor

• Image Processing
• Reversible Watermarking
• Fingerprint Recognition
• +4 more

Can Yüzükollar serves as an Assistant Professor in the Department of Computer Engineering at Sakarya University's Faculty of Computer and Information Sciences, where he has been a lecturer since 2018 following 13 years as an expert at the university's Computer Research and Application Center (2005-2018). Education: Doctorate (2007-2018) from Sakarya University's Institute of Science/Computer and Information Engineering with thesis: "Regional based adaptive reversible image watermarking based on interpolation errors". Master's (2005-2007) from Sakarya University's Institute of Science/Computer and Information Engineering with thesis: "Fingerprint and speaker recognition using artificial neural networks". Licence (2000-2004) from Sakarya University's Faculty of Engineering/Department of Computer Engineering. Research Interests: Dr. Yüzükollar specializes in secure image processing , particularly reversible watermarking techniques using interpolation error expansion and histogram modification. His work bridges biometric security (fingerprint/speaker recognition via neural networks) and energy systems optimization , with recent expansion into deep reinforcement learning for image authentication. Core methodologies include neural networks, cryptographic hashing, and algorithmic optimization for digital media security. Publication Trends: His scholarly output reveals an evolving trajectory from foundational biometric research (2007) through intensive image security contributions (2013-2018) to contemporary interdisciplinary work in deep learning (2023) and renewable energy (2021). The 2023 deep reinforcement learning paper signifies a strategic pivot toward AI-driven image authentication, while the 2021 wind energy publication demonstrates applied optimization expertise beyond core computer engineering domains.

• Computer Engineering
• Bioinformatics
• Software Engineering
• +3 more

Onur Can Karabulut is a Researcher at Mugla Sitki Kocman University, Faculty of Engineering, Department of Computer Engineering. He serves as regular academic staff while pursuing his doctoral studies in the Computer Software division. His educational background includes: Bachelor's Degree in Computer Engineering from Mugla Sitki Kocman University (2011-2016) Master's Degree in Bioinformatics (thesis-based, English program) from Mugla Sitki Kocman University (2016-2020) Doctoral studies in Bioinformatics at Mugla Sitki Kocman University (2021-Present) Mr. Karabulut's research focuses on the intersection of computer science and biological data analysis. His work spans computational biology, data-intensive software engineering, and bioinformatics applications. With dual expertise in computer engineering and bioinformatics, his research likely explores algorithm development, data analysis techniques, and specialized software solutions for biological problems. As a Researcher in the Department of Computer Engineering, he contributes to teaching and research activities while advancing his doctoral work in bioinformatics.

Damla OğuzView profile

Assistant Professor

• Data Mining
• Database Systems
• Query Optimization
• +6 more

Damla Oğuz is an Assistant Professor and Deputy Head of Department in the Department of Computer Engineering at Izmir Institute of Technology. She has held this position since December 2019, following her appointment as an Assistant Professor in the Department of Software Engineering at Yaşar University from 2017 to 2019. Her educational background includes: B.Sc. in Software Engineering (2008) and Industrial Systems Engineering (2009) from Izmir University of Economics M.Sc. in Computer Engineering (2012) from Izmir Institute of Technology Ph.D. in Computer Science (2017) from Paul Sabatier University, France (completed as part of a cotutelle program with Ege University) Damla Oğuz's research focuses on data mining and query optimization in distributed databases . Her work spans multiple areas including high-utility itemset mining, federated query processing, knowledge base evaluation, and the application of large language models in education. She has made significant contributions to understanding how to efficiently process queries across distributed data sources, particularly in the context of semantic web technologies and linked data. Her research often addresses the challenges of scalability, privacy, and performance in large-scale data management systems. Her recent publications demonstrate a clear trend toward addressing contemporary challenges in data management and analysis. Starting with foundational work in itemset mining algorithms, her research has evolved to tackle more complex problems in federated query processing, knowledge base evaluation, and the integration of large language models into educational contexts. The breadth of her work spans theoretical algorithm development, practical system implementation, and educational applications. Her teaching portfolio includes: CENG 212 - Concept of Programming Languages SEDS 502 - Modern Database Management Systems SEDS 535 - Information Extraction CENG 544/SEDS 542 - Large Scale Data Management CENG 465 - Principles of Data-Intensive Systems Her professional activities include: Deputy Head of Department at Izmir Institute of Technology Active research in data management and mining Teaching undergraduate and graduate courses in computer engineering

Hakan YıldızView profile

Assistant Professor

• Algorithms
• Computational Geometry
• Machine Learning

Hakan Yıldız is an Assistant Professor in the Department of Computer Engineering at Middle East Technical University (METU) in Ankara, Turkey, specializing in theoretical computer science and applied machine learning research. He earned his PhD from the University of California, Santa Barbara, establishing his foundation in advanced computational methods. Dr. Yıldız's research centers on Algorithms , Computational Geometry , and Machine Learning , with particular emphasis on theoretical algorithm analysis and geometric computation frameworks. His work bridges theoretical foundations with practical applications in data-intensive domains, contributing to advancements in computational efficiency and pattern recognition systems. These research strands demonstrate strong alignment with contemporary challenges in artificial intelligence and computational theory. He actively recruits graduate and undergraduate students for cutting-edge research in Machine Learning and Theoretical Algorithm Analysis, maintaining an open-door policy for motivated researchers. As a departmental Erasmus coordinator, Dr. Yıldız facilitates international academic exchanges for METU's Computer Engineering students. His service includes developing Q&A resources for outbound students and coordinating academic processes. He also contributed significantly as a scientific committee member for the European Girls' Olympiad in Informatics (EGOI 2022) held in Antalya, Turkey, supporting international computational talent development.

• Economic Growth
• Energy Economics
• Environmental Economics
• +5 more

Dr. Hakan Acaroğlu is a Professor of Economics at the Faculty of Economics and Administrative Sciences, Department of Economics at Eskisehir Osmangazi University. He holds a B.S. in Electrical & Electronics Engineering (2002), M.S. in Economics (2005), and Ph.D. in Economics (2010). His career progression includes roles as Research Assistant (2003), Assistant Professor (2011–2018), and Associate Professor (2018–2024) before becoming a full Professor in 2024. His research focuses on Energy Economics, Economic Growth, and Environmental Sustainability, particularly renewable energy integration, electricity markets, and sustainable development. Education: B.S. Electrical & Electronics Engineering, Eskisehir Osmangazi University (2002) M.S. Economics, Eskisehir Osmangazi University (2005) Ph.D. Economics, Anadolu University (2010) Research Interests: Renewable Energy Systems & Policy Environmental Economics & Sustainability Mathematical Economics Modeling Electricity Market Design Human Capital Development His recent publications (2022–2025) emphasize energy storage optimization, AI applications in energy systems, environmental Kuznets curve validity, and climate change mitigation strategies. He has authored over 79 WoS-indexed papers with a significant H-index of 231 (Scholar). His work bridges engineering principles with economic analysis, particularly in Turkey's energy transition and sustainable development challenges. Grants & Projects: 13 UN Sustainable Development Goals-linked projects 11 open-access research initiatives Dr. Acaroğlu's research lab focuses on energy economics and policy analysis, collaborating with institutions globally to address climate change through innovative energy solutions. His work emphasizes data-driven policy frameworks for renewable energy adoption and sustainable growth pathways.