جستجوی استاد راهنمای دانشگاهی

Ali Karakuşمشاهده پروفایل

دانشیار

• Computational Fluid Dynamics
• High-Order Finite Element Methods
• Multiphase Flows
• +۵ مورد دیگر

Ali Karakuş is an Associate Professor of Mechanical Engineering at the Middle East Technical University (METU) in Ankara, Turkey. His research focuses on computational fluid dynamics, high-order numerical methods, multiphase flows, and GPU-accelerated scientific computing. He leads the Accelerated Multiphysics (AMiP) research group, which develops advanced algorithms for multiphysics problems using modern parallel architectures. Education: B.Sc. (2005), M.Sc. (2009, Mersin University), Ph.D. (2015), all from METU. His work emphasizes high-order discontinuous Galerkin methods, physics-informed neural networks, and software development (e.g., libParanumal ). Key achievements include the 2024 Lecturer of the Year Award from the METU Parlar Foundation and recognition of the NekRS solver as a groundbreaking paper in Parallel Computing . He supervises a team of PhD and MSc students working on topics like adaptive mesh refinement, level-set interface capturing, and GPU-accelerated solvers. Recent projects include developing physics-informed neural networks for fluid flow problems and Boltzmann-based methods for compressible flows.

Muhammed Fatih ADAKمشاهده پروفایل

دانشیار

• Computer Software
• Data Mining
• Artificial Learning
• +۷ مورد دیگر

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

• Optical Wireless Communications
• Visible Light Communications
• Channel Modeling
• +۵ مورد دیگر

Dr. Farshad Miramirkhani serves as an Assistant Professor in the Department of Electrical and Electronics Engineering at Isik University's Faculty of Engineering and Natural Sciences. As a full-time lecturer and IEEE Senior Member, he directs the OPTWiCOM Research Group focusing on physical-layer design of optical wireless communication systems. Education: BSc in Electrical and Electronics Engineering, Isfahan University (2007-2011) MSc in Electrical and Electronics Engineering, Isfahan University (2011-2014) PhD in Electrical and Electronics Engineering, Ozyegin University (2015-2018) Research Focus: His expertise spans channel modeling and characterization for visible light communication (VLC) systems across medical, vehicular, and underwater environments. Current investigations include machine learning-enhanced adaptive modulation for medical body sensor networks, 5G/6G integration with VLC, and infrared communications. His work emphasizes practical applications in health monitoring and next-generation wireless infrastructure. Publication Trends: Recent publications (2021-2025) demonstrate a clear trajectory toward health-focused VLC applications and standardization contributions. Over 60% of his recent work addresses medical body sensor networks and channel modeling for healthcare, while significant efforts support IEEE 802.11bb standardization through reference channel models for diverse environments. Machine learning integration for adaptive systems represents a growing research thread. Awards and Recognition: IEEE 802.11bb-2023 Working Group Award (2023) Board of Trustees Outstanding Scientific Achievement Award (Isik University, 2019 & 2020) Best Paper Award at IEEE BlackSeaCom 2019 Ord. Prof. Bedri Karafakioglu Research Incentive Award (2019) IEEE Turkey Section Doctoral Thesis Award Academic Leadership: Dr. Miramirkhani advises Master's students on VLC-integrated health monitoring systems and vehicular communications. His OPTWiCOM group secures funding through projects like 'Innovative Optical Wireless Technologies for 5G and Beyond' and 'LiFi for In-Flight Entertainment Systems', providing graduate students with full tuition waivers, housing, health insurance, and research stipends. He teaches core courses including Wireless Communications and Introduction to Communication Systems. Research Infrastructure: The OPTWiCOM group maintains specialized facilities for VLC channel emulation and physical-layer testing, with active collaborations on medical body sensor networks and underwater communications. Current initiatives focus on machine learning-enhanced VLC systems for 6G networks and standardization of light communication protocols.

• 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.

• Forest Engineering
• Transportation in Forestry
• Measurement Technologies
• +۱۱ مورد دیگر

Korhan Enez is a Professor in the Department of Forest Engineering at Kastamonu University, Turkey. He has held various academic and administrative roles since 2002, including Head of the Department, Board Member, and Director of Vocational Schools. His career spans institutions like Karadeniz Technical University and Kastamonu University, focusing on forest engineering and environmental science. Education: PhD in Forest Engineering, Karadeniz Technical University (2008) Master's in Forest Engineering, Gazi University (2002) BSc in Forest Engineering, Karadeniz Technical University (1997) Research Interests: Transport, measurement, and information technologies in forestry Forest fire potential mapping Pest infestation modeling Workforce ergonomics and safety Impact of forest roads on ecosystems Decomposition dynamics of logging residues Scientific Work Trends: Recent publications focus on GIS and remote sensing applications in forest fire and pest management Integration of deep learning and analytical hierarchy processes for ecological modeling Assessment of ergonomic risks in forestry operations Quantifying environmental impacts of logging and infrastructure Collaborations: Long-term partnerships with researchers like Gonca Ece Özcan, Burak Arıcak, and Temel Sarıyıldız Contributions to international projects including EU-funded FORESTVET and UN-supported Insect-IMP Advising: Mentored 7 master's and PhD students on topics like forest road impacts, fire management, and workforce satisfaction

• Wireless Communications
• Intelligent Signal Processing
• Biomedical Engineering
• +۳ مورد دیگر

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.

• Information Systems
• Modeling and Simulation
• Artificial Intelligence
• +۳ مورد دیگر

Dr. Erke Arıbaş is a Lecturer at Istanbul Technical University's Faculty of Computer and Informatics , specializing in the Department of Computer Engineering . His research spans interdisciplinary domains including artificial intelligence, simulation modeling, and biophysics applications. Education: PhD in Computational Science and Engineering (2001-2013), Istanbul Technical University MA in Information Systems Design and Management (2001), Istanbul Technical University (Evening Education) BS in Physics (1992-1996), Istanbul Technical University BS in Physics (1996-2000), University of Missouri-Rolla His research focuses on generative AI applications , autonomous systems , and multi-phase flow simulations with thermal modeling. He has contributed to fields ranging from smart city cybersecurity to biomechanical modeling of blood flow. Article trends show expertise in AI-personality modeling integration , unmanned aerial vehicle design , and biofluid dynamics with specialized focus on red blood cell aggregation and arterial hemodynamics.

Tolga Ayavمشاهده پروفایل

استاد

• Formal Methods for Software Testing
• Hardware Component and On-Chip System Tests
• Real-Time and Fault-Tolerant Embedded Systems
• +۵ مورد دیگر

Professor Tolga Ayav is affiliated with the Department of Computer Engineering at Izmir Institute of Technology , where he has served as faculty since 2006. He received his BSc in Electrical and Electronics Engineering (1995) from Dokuz Eylül University, MSc in Computer Engineering (1999) from Izmir Institute of Technology, and PhD in Computer Engineering (2004) from Ege University. He was a researcher at INRIA Rhone-Alpes in 2005. Education BSc: Electrical and Electronics Engineering, Dokuz Eylül University (1995) MSc: Computer Engineering, Izmir Institute of Technology (1999) PhD: Computer Engineering, Ege University (2004) Research Interests include formal methods for software testing, hardware component and on-chip system tests, real-time and fault-tolerant embedded systems, blockchain applications, and machine learning. His work focuses on: Formal verification techniques Real-time system optimization Hardware-software co-design Blockchain-based security solutions Mathematical modeling in testing Recent Publications span topics like: Deep learning for livestock monitoring Blockchain in IoT security Fourier expansion in fault analysis Optimized data replication strategies Finite state machine testing Scientific Awards include: Best Paper Award at IEEE CBDCom 2016 for cloud data replication research Teaching includes courses such as: CENG 312: Computer Networks CENG 523: Advanced Topics in Real-Time Systems CENG 215: Circuits and Electronics Projects he has led include: TÜBİTAK TEYDEB: Spectrally Efficient Small Cell Base Station Design BAP: Dedicated Server for Physical Network Applications Lab Leadership : He leads the DCS Research Group at Izmir Institute of Technology, focusing on distributed computing and real-time systems.

Serkan Saritasمشاهده پروفایل

استادیار

• Information Security
• Networked Control
• Communication Theory
• +۳ مورد دیگر

Dr. Serkan Saritas is an Assistant Professor in the Department of Electrical and Electronics Engineering at Middle East Technical University (METU). He holds a Ph.D. from Bilkent University (2018) and completed postdoctoral research at KTH Royal Institute of Technology in Sweden (2018–2021). His research focuses on Networked Control Systems, Game Theory applications in security, Communication Theory, and Information Theory. He has authored numerous high-impact publications in top-tier venues such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory, and Automatica. Education: Ph.D. in Electrical and Electronics Engineering, Bilkent University (2013–2018) M.Sc. in Computer Engineering, Bilkent University (2010–2013) B.Sc. in Electrical and Electronics Engineering, Bilkent University (2005–2010) Research Interests: Game-Theoretic Security (e.g., adversarial attacks, authentication strategies) Networked Control Systems (resilience, fault tolerance) Information Theory (signaling games, estimation theory) Communication Theory (channel modeling, detection algorithms) Awards: Recipient of the IEEE Turkey PhD Thesis Award (2020), TÜBİTAK scholarships for graduate studies, and top national exam rankings (1st in ALES 2014, 2nd in ÖSS 2005). Teaching: Recently taught courses like EE348 (Logic Design) and EE494 (Engineering Design) at METU.

Sema Alaçamمشاهده پروفایل

دانشیار

• Architectural Design
• Computational Design
• Artificial Intelligence in Architectural Education
• +۵ مورد دیگر

Sema Alaçam is an Associate Professor at Istanbul Technical University , affiliated with the Department of Architecture . She has active research in computational design , artificial intelligence in architectural education , and sustainable materials like rammed earth and reused wind turbine blades . Her work focuses on: Architectural heritage (e.g., Sinan mosques, Harran houses) Environmental comfort (thermal, natural ventilation) Digital tools (BIM, VR, AI-assisted design) Recent publications include machine learning models for heritage analysis and AI literacy in design education. She leads projects on robotic fabrication and digital stereotomy . Scientific recognition: Multiple İTÜ Academic Performance Awards (2021–2023) Sigradi Best Reviewer Award CAADRIA Best Presentation Award (2014) FABFEST Prizes (2017–2018)

Uğur Algancıمشاهده پروفایل

دانشیار

• Remote Sensing
• Geomatics Engineering
• Land Use and Land Cover Analysis
• +۳ مورد دیگر

Uğur Algancı is an Associate Professor at Istanbul Technical University's Department of Geomatics Engineering in the College of Engineering. His research focuses on remote sensing, satellite image processing, and artificial intelligence applications in geospatial sciences. Current projects include: 2025: Multi-sensor Bathymetric Mapping (SRP Project) 2021-2023: Satellite-Derived Bathymetry for Horseshoe Island (TUBITAK Project) Research interests span: Coastal and marine geospatial analysis Land use/land cover change detection Super-resolution image enhancement AI-driven environmental monitoring Shallow water bathymetry Geospatial decision support systems Recent work demonstrates expertise in: Deep learning for coastline segmentation Historical aerial photograph restoration Forest fire prevention systems Earthquake-related air quality analysis Antarctic bathymetric mapping

Yavuz Selim Hindistanمشاهده پروفایل

مدرس

• Artificial Intelligence
• Data Security and Privacy
• Machine Learning
• +۵ مورد دیگر

Dr. Yavuz Selim Hindistan is a Lecturer in the Department of Management Information Systems at Özyeğin University's Faculty of Business Administration. With over 20 years of industry experience in IT management at companies like Mercedes-Benz Financial Services and Doehler Turkey, he founded Manage IT Remote Consultancy in 2020 to provide academic and strategic IT services. Education : Ph.D. in Management Information Systems (Kadir Has University, 2023), MBA (Bilgi University, 2008), B.Sc. in Physics (Boğaziçi University, 1997) His research focuses on AI applications for data security and privacy, particularly in industrial IoT contexts using GANs and Differential Privacy. He also explores alternative credit evaluation through big data and machine learning. Dr. Hindistan teaches foundational courses in Java programming, cloud computing, database management, and algorithmic thinking. His work bridges digital transformation theory with practical implementation in business and industrial environments.

Cemil ÖZمشاهده پروفایل

استاد

• Computer Science
• Artificial Intelligence
• Computer Vision
• +۹ مورد دیگر

Prof. Cemil ÖZ is a full-time Professor at Sakarya University's Faculty of Computer and Information Sciences, where he has held academic positions since 1998. He leads research in computer vision, artificial intelligence, and medical imaging applications, with ongoing projects in virtual simulation systems and machine learning diagnostics. Education PhD in Electrical and Electronics Engineering, Sakarya University (1995-1998), specializing in neural network-based robotic trajectory control Master's in Electronics and Computer Education, Marmara University (1989-1993), focusing on adaptive robotic control systems Bachelor's in Electronics and Communication Engineering, Yıldız University (1986-1989) Research Focus Prof. ÖZ's interdisciplinary research bridges computer science with healthcare, industrial applications, and security. Primary domains include: Medical AI : Machine learning for neuroimaging diagnostics (e.g., multiple sclerosis differentiation) Virtual Simulation : Industrial and educational systems (welding/driving simulators) Computer Vision : 3D reconstruction, object detection, and facial analysis Applied ML : Hybrid algorithms for predictive modeling in security and social media Publication Trends Recent articles (2019-2024) demonstrate strong emphasis on AI-driven healthcare solutions (38% of works), particularly neurological disorder diagnostics using MRI/spectroscopy data. Virtual training systems constitute 27% of output, focusing on industrial/educational simulations. Remaining publications advance computer vision techniques (3D reconstruction, object detection) and security applications (terrorism prediction, sentiment analysis). Methodologically, deep learning (YOLO, CNN) and sensor integration (Kinect) are predominant.

Sait Erkovanمشاهده پروفایل

استادیار

• Inverse Problems
• Partial Differential Equations
• Mathematical Modeling
• +۳ مورد دیگر

Asst. Prof. Dr. Sait Erkovan is currently affiliated with Yeditepe University's Faculty of Computer and Information Sciences, Department of Information Systems and Technologies. He has previously held academic positions at Halic University (2020), Halic University's Faculty of Engineering, Department of Software Engineering (2018), Piri Reis University (2010), and Gebze High Technology Institute (2010). PhD in Mathematics from Gebze High Technology Institute (2019) MSc in Mathematics from Sakarya University (2010) and Gebze High Technology Institute (2012) BSc in Mathematics from Ataturk University (2009) His research focuses on inverse problems in heat equations, bioheat transfer modeling, and orthogonal polynomials. He has published extensively on numerical methods for determining unknown coefficients in heat equations, with applications in thermal analysis and biomedical engineering. The published works highlight his expertise in theoretical and computational approaches to inverse problems, Fourier series analysis for bioheat transfer, and spherical orthogonal polynomials in interpolation. His research bridges mathematical theory with practical engineering and biomedical applications. He has supervised Master’s theses, including TUTKU DOH’s 2022 study on machine learning algorithms for network traffic analysis at Halic University. He has also served as Vice Department Head (2022) and Acting Department Head (2022) at Halic University.

Cem Direkoğluمشاهده پروفایل

استادیار

• Computer Vision
• Pattern Recognition
• Image and Video Analysis
• +۷ مورد دیگر

Cem Direkoğlu is a faculty member in the Department of Electrical and Electronics Engineering at Middle East Technical University - Northern Cyprus Campus (METU NCC), within the College of Engineering. His research is centered on computer vision and image analysis, with a strong emphasis on feature extraction, human behavior modeling, and video understanding. Research Interests: His primary research areas include computer vision, pattern recognition, image and video analysis, and signal processing. He focuses on human (individual and group) behavior analysis in sports and surveillance contexts, video event detection, object detection and localization, motion analysis and tracking, and feature/shape/skeleton extraction and segmentation. His ongoing projects involve crowd behavior analysis in surveillance videos, team behavior analysis in sports, and player detection and classification. Publication Trends: His recent work (2004–2014) shows a consistent focus on applying physical analogies (e.g., heat flow) and mathematical models to shape and feature extraction. Later publications shift toward higher-level video understanding, particularly in sports and surveillance, using motion trajectories, team activity modeling, and information retrieval methods for event detection. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: There is no information available regarding students supervised or research grants received. However, his involvement in projects like SAVASA (TRECVid) suggests participation in collaborative research initiatives. Labs and Research Teams: While no specific lab is named, his work appears to be conducted within the research ecosystem of the Electrical and Electronics Engineering department at METU NCC, likely involving collaboration with researchers in multimedia and computer vision, as evidenced by co-authorship with researchers from institutions like Dublin City University.