جستجوی استاد راهنمای دانشگاهی

Demet CEYLANمشاهده پروفایل

مدرس

• Destination Image Studies
• Human Resources in Hospitality
• Tourism Management
• +۴ مورد دیگر

Demet CEYLAN is a Lecturer at Antalya Bilim University with over 25 years of experience in the tourism sector, including leadership roles such as Financial Controller, CFO, and Board Member in multinational companies. She holds a PhD in Tourism Management from Akdeniz University (2023), an MS in International Tourism Management (2018), and a BA in Business Administration (1992) from Boğaziçi University. BA: Business Administration, Boğaziçi University MS: International Tourism Management, Akdeniz University PhD: Tourism Management, Akdeniz University Her research focuses on destination image studies , human resources in hospitality , tourism management , and applied tourism education . She pioneered the Management Shadowing Program since 2016, bridging industry and academia for managerial training. Her publications span topics like destination image analysis , competency measurement , and managerial skill development , with articles in international journals and conferences. She received the Outstanding Master's Thesis Award at the 10th World Conference for Graduate Research in Tourism, Hospitality, and Leisure.

Idriss Dagalمشاهده پروفایل

استادیار

• Renewable Energy Systems
• Photovoltaic Systems
• Power Electronics
• +۶ مورد دیگر

Idriss Dagal serves as an Assistant Professor at Beykent University's Department of Electrical and Electronics Engineering. With a PhD and Master's in Electrical Engineering from Yildiz Technical University (2015 and 2023 respectively), and additional academic credentials from Ethiopian Airlines Aviation University and Mongo Polytechnics University, his career bridges academic research with industry experience as a Sales Engineer. PhD: Yildiz Technical University (2015) Master's: Yildiz Technical University (2023), Ethiopian Airlines Aviation University (2008) Bachelor's: Mongo Polytechnics University (2006) His research focuses on renewable energy systems , particularly photovoltaic power optimization using metaheuristic algorithms (Hybrid PSO-Salp Swarm, Gray Wolf Optimization). He also explores control systems for solar energy and aircraft dynamics, including PID and fuzzy logic controllers. Additional work spans machine learning applications in energy and medical diagnostics, along with power electronics for battery charging. Recent publications highlight 15 2025 articles on topics like hybrid energy systems , AI-driven MPPT , and aircraft control frameworks . His work appears in journals such as Scientific Reports , IEEE Access , and International Journal of Aeronautical and Space Sciences . Teaching experience includes courses in Electrical Machines and Information Technologies . Non-university roles at Elektra Electronic Company and Aktif Group Company involved sales engineering, complementing his academic profile with industry insights.

• Hydrology
• Water Resources
• Coastal Sciences and Engineering
• +۳ مورد دیگر

Prof. Ercan Kahya is a Professor of Civil Engineering at Istanbul Technical University (ITU), holding roles as Rector of Taskent Architecture and Construction Institute (2021–2024) and ITU-TRNC Rector (2012–2020). He earned his Ph.D. in Hydrology from UCLA and has held academic positions at Selcuk University and visiting roles at American Universities in Dubai. His research focuses on hydrology, water resources, coastal sciences, and hydroclimatology, addressing drought analysis, climate impacts, and modeling. Over 20 students have completed theses under his supervision, covering topics like flood risk, precipitation modeling, and climatic variability. His work integrates advanced statistical methods, machine learning, and environmental data analysis. Recently, he has explored gridded precipitation products, drought indices, and climate change effects on rainfall patterns. Education: Ph.D. in Hydrology, University of California, Los Angeles (1989–1993) M.Sc. in Civil Engineering, Polytechnic University, New York (1986–1988) B.Sc. in Civil Engineering, Istanbul Technical University (1980–1984) Research Interests: Drought dynamics, hydroclimatic modeling, climate teleconnections, and environmental data analytics. His articles highlight advancements in streamflow prediction, drought forecasting via machine learning, and spatial analysis of climate indices. He has contributed to policy-related studies on flood risk and erosion assessment. Currently, he oversees ongoing research on energy efficiency in Uzbekistan’s residential buildings and the Black Sea region’s hydrological challenges. His memberships include the International Association of Hydrological Sciences and the Nutrigenetics Epigenetics Association (Vice President, 2020–2024).

• Food Chemistry
• Food Technologies
• Bioactive Compounds
• +۳ مورد دیگر

Dr. Göktürk ÖZTÜRK serves as an Assistant Professor in the Food Processing Department at Kaman Vocational School, Kirsehir Ahi Evran University, Turkey. He has been a full-time academic staff member since 2023, following his previous role as an Instructor at the same institution from 2007 to 2018. Since 2022, he has also held the position of Department Head at Kirsehir Ahi Evran University, demonstrating both academic and administrative leadership. His educational background includes: PhD in Food Engineering from Erciyes University (2012-2018) Master's Degree in Food Engineering from Erciyes University (2009-2012) Bachelor's Degree in Food Engineering from Selçuk University (2001-2006) Associate Degree in Theology from Anadolu University (2017-2020) Bachelor's Degree in Theology Completion Program from Ondokuz Mayıs University (2024) Dr. ÖZTÜRK's research centers on Food Chemistry and Food Technologies, with particular emphasis on bioactive compounds in food systems, sustainable utilization of agricultural byproducts, and functional food development. His work investigates the physicochemical, rheological, and sensory properties of diverse food products including traditional Turkish foods, dairy products, and nut-based formulations. He has made significant contributions to understanding extraction methods for valuable compounds from food waste materials. His publication record reveals a consistent scholarly trajectory focused on food science and technology, with increasing emphasis on sustainable approaches to food processing. Recent work demonstrates sophisticated methodological approaches including PCA, Taguchi method, TOPSIS, and response surface methodology for optimizing food processes and product development. His research shows a clear progression from fundamental studies to applied research with practical implications for the food industry. Dr. ÖZTÜRK has participated as a researcher in two significant projects: 'Production of Phenolic Compound-Rich Extract from Hazelnut Husk Waste and Investigation of Its Potential Use in Food Technology' (2015-2018) and 'Examination of the Physical, Chemical, Functional and Rheological Aspects of Using Certain Vegetable Juices in Ice Milk Production' (2010-2011). He serves on the editorial board of European Food Science and Engineering journal and has performed numerous peer reviews for international scientific publications.

• 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.

Hakan Yamanمشاهده پروفایل

استاد

• Project and Construction Management
• Building Information Modeling (BIM)
• Multi-agent Systems
• +۳ مورد دیگر

Hakan Yaman is a Professor at the Department of Architecture , Faculty of Architecture , Istanbul Technical University . With over 35 years of experience, he specializes in Project and Construction Management with a focus on Building Information Modeling (BIM) , Multi-agent Systems , and Sustainable Construction . PhD in Building Science from Istanbul Technical University (1996) Current academic roles: Graduate Program Coordinator, Faculty Board Member His research bridges Construction Economics , Urban Transformation , and Digital Compliance through innovative models like the BIM-Based Building Regulation Compliance Control and Multi-agent Contractor Prequalification systems. Recent works examine Multifamily Residential Design Optimization and Construction Sector Dynamics in Turkey. Notable awards include: 2022 ITU Academic Performance Award 2022 ITU Publication Encouragement Award 2016 Anadolu University Most Successful Paper Award

MURAT GÜLBAYمشاهده پروفایل

استادیار

• Industrial Engineering
• Fuzzy Logic
• Quality Management
• +۲ مورد دیگر

Murat GÜLBAY serves as an Assistant Professor at Gaziantep University's Naci Topçuoglu Vocational School within the Department of Machine and Metal Technologies. With continuous academic service at Gaziantep University since 1996 (interrupted only by a 2000-2007 appointment at Istanbul Technical University), he has progressed from Research Assistant to his current rank, while also holding administrative roles as Department Chair during 2011-2022. His educational trajectory features: PhD in Industrial Engineering (2003-2007), Istanbul Technical University MSc in Industrial Engineering (1997-1998), Gaziantep University BSc in Mechanical Engineering (1991-1996), Gaziantep University Bachelor's in Public Administration (2018-2020), Anadolu University (Open Education) Associate's in Justice (2016-2018), Anadolu University (Open Education) Dr. GÜLBAY's research centers on fuzzy logic applications in industrial systems, with foundational work in fuzzy statistical process control evolving into broader implementations across quality management, supply chain optimization, and multi-criteria decision making. His methodology integrates linguistic variables and advanced fuzzy sets to address uncertainty in industrial contexts, bridging theoretical frameworks with practical engineering solutions. Publication trends reveal consistent scholarly output from 2004-2020, with early contributions establishing fuzzy control chart methodologies (2004-2007) expanding into logistics, robotics, and sustainable energy systems. This progression demonstrates adaptive application of fuzzy mathematics to increasingly complex industrial challenges, particularly in multi-attribute decision environments under uncertainty. He has supervised one Master's student (Mehmet Pekmezci, 2015) on fuzzy modeling of logistics problems, while maintaining professional relevance through Hazardous Materials Safety Consultant (TMGD) and Class A Occupational Safety Expert certifications that directly inform his research in industrial risk management and supply chain safety.

• Technical Textiles
• Textile Science
• Textile Technology
• +۲ مورد دیگر

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

Tufan Kumbasarمشاهده پروفایل

استاد

• Fuzzy Logic
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر

Prof. Dr. Tufan Kumbasar is a faculty member at the Department of Control and Automation Engineering , Istanbul Technical University , where he has served as a Professor since 2024. He previously held roles as Associate Professor (2019-2024), Vice Dean (2017-2020), and Guest Professor at the University of Alaska Fairbanks (2016). His research spans multiple domains in computational intelligence and control systems. PhD in Control and Automation Engineering (ITU, 2012) Postdoctoral Research (University of Essex, 2012) Master's and Bachelor's in Control and Automation Engineering (ITU, 2008 and 2006) His work focuses on Type-2 Fuzzy Logic Systems , Deep Learning Integration , and Uncertainty Quantification with applications in Drone Swarms , Autonomous Vehicles , and Medical Robotics . Recent publications highlight hybrid control methodologies combining conventional and fuzzy logic, AI-driven system identification , and real-world implementations of learning frameworks. 2023 BAGEP Science Academy Young Academician Achievement Award 2022 IEEE Türkiye Outstanding Young Scientist Award 2021 Parlar Foundation Research Encouragement Award Best Publication Awards (2015, 2018) As a Principal Investigator , he leads projects like KAYRA Search and Rescue Robot and UMAY Search and Rescue Robot , emphasizing Deep Learning-based Type-2 Fuzzy Systems and Reliable Uncertainty Quantification . His teaching innovations include transforming Feedback Control Systems into MATLAB environments via Deep Learning Pipelines .

• Animal Nutrition
• Nutritional Diseases
• Dairy Cattle Management
• +۳ مورد دیگر

Dr. Alper ÇAĞLAYAN is currently an Assistant Professor at Karabük University, Eflani Vocational School in the Department of Plant and Animal Production . Previously, he served as a Lecturer at Ağrı İbrahim Çeçen University (2015-2018). His academic journey includes a PhD in Animal Science and Nutrition from Ankara University (2005-2011) and a Bachelor's Degree in the same field from 1992-1998. University: Karabük University School: Eflani Vocational School Department: Plant and Animal Production Rank: Assistant Professor (2018-present) Research Interests : Dr. Çağlayan specializes in Animal Nutrition and Nutritional Diseases , with a focus on optimizing dairy cattle and poultry productivity through feed additives and genetic selection. His work spans herd management , ruminant metabolism , and prevention of neonatal calf deaths . He has contributed to understanding protected fats and hydroxy acid supplements in animal diets. Publication Trends : His 15 most recent works (2011-2024) emphasize dairy cattle nutrition (4), poultry production (3), feed technology (3), and herd health protocols (2). Key contributions include studies on hydroxy-methylthio-butyric acid applications and phytochemical feed additives for quail and dairy cows. Professional Collaborations : Co-authored works with Şahin Çadırcı (9 joint publications), Ramazan Küçükkara (8), Adnan Şehu (5), and Songül Yüca (2). Administrative Roles : Served on University Board of Directors (2019-present, Karabük University; 2017-2018, Ağrı İbrahim Çeçen University).

Işılay Tekçeمشاهده پروفایل

استادیار

• Project/Construction Management
• Performance Studies
• Facility Management
• +۵ مورد دیگر

Dr. Işılay Tekçe is an Assistant Professor at Ozyegin University, specializing in Project/Construction Management and Sustainability. Previously, she served as an Assistant Professor at Okan University (2010-2013) and conducted research at Istanbul Technical University's Project Management Center (2000-2010). She holds a PhD from Istanbul Technical University (2010) with a dissertation on multi-criteria performance measurement for construction contractors. Education: B.Sc. in Architecture, Istanbul Technical University (2000) M.Arch in Project and Construction Management, Istanbul Technical University (2002) PhD in Architecture - Building Sciences, Istanbul Technical University (2010) Research focuses on: Performance measurement in construction Sustainability in healthcare and office buildings Occupant satisfaction through BIM and IoT integration Multi-criteria decision-making in facility management Her work includes FP7 projects and publications on green retrofitting, post-occupancy evaluation tools, and acoustic/thermal comfort in buildings. Awards and international recognition highlight her contributions to sustainable construction practices.

• Artificial Intelligence
• Neural Networks
• Robotics
• +۵ مورد دیگر

Abdullatif Baba is an Assistant Professor in the Department of Computer Engineering at Turkish Aeronautical Association University. His research focuses on interdisciplinary applications of artificial intelligence, robotics, and sustainable energy systems. He develops solutions for smart infrastructure, including AI-driven energy forecasting, autonomous drones for grid maintenance, and hyperspectral imaging techniques. His research interests span: AI/ML Systems : Neural networks, probabilistic forecasting, and FPGA-accelerated deep learning Robotics : Autonomous drones with computer vision for industrial and energy applications Sustainable Energy : Solar-based systems, smart grid optimization, and consumption prediction Security : Chaos-based cryptographic systems for secure communications Recent publications (2020-2024) demonstrate strong trends in practical AI implementations. Key themes include energy forecasting using adaptive neural networks (11 papers), robotics for infrastructure maintenance (4 papers), computer vision for biometrics and imaging (3 papers), and cryptographic systems (2 papers). Methodologies frequently involve hybrid approaches combining ANN, fuzzy logic, and hardware acceleration. No awards, students, or grant details were mentioned in the source material. Research collaborations include institutions in Turkey and the Middle East.

Orhan Deniz GENÇAĞAمشاهده پروفایل

استادیار

• Signal and Image Processing
• Machine Learning
• Knowledge Discovery and Data Mining
• +۹ مورد دیگر

Orhan Deniz GENÇAĞA is an Assistant Professor in the Department of Electrical and Electronic Engineering at Antalya Bilim University since 2017. Prior to this, he held postdoctoral and research associate roles at SUNY Albany (2007), National Oceanic and Atmospheric Administration (NOAA) Center of CUNY (2009–2011), University of Texas Department of Space Sciences, and Carnegie Mellon University. His academic career spans interdisciplinary projects in signal processing, statistics, and systems modeling. Education: Ph.D. in Electrical and Electronic Engineering from Boğaziçi University M.S. in Electrical and Electronic Engineering from Boğaziçi University B.S. in Electrical and Electronic Engineering from Yıldız Teknik University Research Interests: GENÇAĞA’s work focuses on statistical signal processing, Bayesian inference, uncertainty modeling, causality, chaos theory, and remote sensing. His expertise extends to heavy-tailed processes, acoustic echo cancellation, source separation, and system identification, with applications in machine learning, information theory, and speech processing. Professional Roles and Affiliations: He chaired the IEEE Pittsburgh Signal Processing and Control Systems Societies, served as general chair for the First ECEA, and organized MaxEnt 2007. Additionally, he is a member of the editorial board of Entropy and an inventor in two US patents. Scientific Awards: NATO Research Fellowship

• Machine Learning
• Image Processing
• Bioinformatics
• +۷ مورد دیگر

Abdulkerim Çapar is an Assistant Professor in the Faculty of Computer and Informatics at Istanbul Technical University, where he is affiliated with the Department of Computer Science. His research lies at the intersection of machine learning, image processing, and bioinformatics, with a strong emphasis on biomedical applications including digital pathology and neuroscience. His educational background includes a PhD in Computer Engineering from Istanbul Technical University, along with earlier degrees in Electronics and Communication Engineering from the same institution. He has also been a research assistant at both Istanbul Technical University and Wake Forest University Center for Artificial Intelligence. Dr. Çapar's research interests center on developing machine learning and computer vision methods for medical image analysis, particularly in fluorescence microscopy, myelin quantification, cervical and breast cancer diagnostics, and calcium imaging for neurological disorders. His work contributes to UN Sustainable Development Goals in health and innovation. His recent publications (2020–2024) reflect a strong trend in interpretable AI for histopathology, automated scoring systems for cancer biomarkers, and segmentation techniques for neural structures. He has published in high-impact journals such as PLoS ONE , IEEE JBHI , and Biomedical Signal Processing and Control . Scientific Awards: Dr. Akın Çakmakcı Thesis Award, Türkiye Technology Development Foundation, 2012 Memberships: Turkish Brain Research and Neurosciences Association (TÜBAS), 2019–present Grants and Projects: He has led or contributed to research on automated myelin detection, digitization of herbarium collections, and AI-assisted cervical cytopathology. He holds a patent for a method and system for automated myelin detection in fluorescence microscopy using machine learning. Labs and Collaborations: Dr. Çapar collaborates with interdisciplinary teams in neuroscience and medical imaging, including researchers from Wake Forest University and other Turkish institutions. His work involves close collaboration with medical experts in pathology and neurology.

• Solid Mechanics
• Additive Manufacturing
• Computer Aided Design and Manufacturing
• +۵ مورد دیگر

Abdurrahim TEMİZ is an Assistant Professor at the Faculty of Technology, Karabük University , Department of Industrial Design Engineering. He earned his PhD (2022) and MSc (2018) in Industrial Design Engineering from the same institution, following a BSc in Mechanical Engineering (2014). Education: PhD (2022), MSc (2018), BSc (2014) from Karabük University Current Roles: Assistant Professor (2022–present), Deputy Head of Department (2023–present) His research focuses on Solid Mechanics, Additive Manufacturing, Computer Aided Design, Material Design , and Finite Element Analysis . He has led projects on 3D-printed PLA optimization, auxetic structures, and biodegradable magnesium implants , with over 15 publications in SCI/Scopus-indexed journals. His recent work explores TPMS lattice structures for biomedical applications, process parameter optimization in additive manufacturing, and functionally graded materials for implants. Collaborations include researchers from Turkey, Ukraine, and Azerbaijan, with 39 citations (h-index: 8). He has supervised 3 Master’s theses on topics like 3D-printed waste recycling, annealing optimization , and sustainable packaging , while teaching courses in Computer Aided Design, Rapid Prototyping , and Scientific Project Preparation .