Find Academic Supervisors

• Operations Research
• Industrial Engineering
• Optimization Modeling
• +4 more

Mehmet SAVSAR is a Professor at Uskudar University , with a career spanning multiple institutions including Kuwait University, King Saud University, and Pennsylvania State University. His work focuses on industrial engineering, optimization modeling, and simulation analysis across diverse sectors. Current roles: Head of Department (Industrial Engineering) at Uskudar University (2020–2025), Head of Department (Engineering Management) (2021–2025) Education BSc Forest Industry Engineering, Karadeniz Technical University (1975) MSc Industrial Engineering, Pennsylvania State University (1978) PhD Industrial Engineering, Pennsylvania State University (1982) Research Interests Mehmet’s research bridges operations research , simulation modeling , and optimization in industrial and healthcare contexts. His recent work includes AI-driven traffic signal optimization, waste minimization in manufacturing, and lean strategies for battery recycling. Publications highlight applications of linear programming , probabilistic networks , and Markov chain analysis . Scientific Contributions Spanning 2020–2025, his 15 most recent works cover topics from surgical scheduling to urban mobility, emphasizing cross-disciplinary solutions. Key trends include smart city infrastructure , sustainable manufacturing , and data-driven decision-making . Awards Best Paper Award, International Conference on Industrial Engineering and Operations Management (IEOM) 2020 Teaching & Projects Recent courses include Engineering System Simulation , Advanced Quality Control , and Graduation Thesis supervision. He has led projects in facility layout design, warehouse optimization, and healthcare operations.

• Deep Learning
• Natural Language Processing
• Artificial Intelligence
• +2 more

Rowanda D. Ahmed is an Assistant Professor in the Department of Computer Engineering at Uskudar University, Istanbul, Turkey, and serves as the Data Science Ambassador for Stanford University in Turkey supporting Women in Data Science (WiDS) initiatives. Her academic credentials include: Bachelor of Science in Computer Engineering from Islamic University, Gaza, Palestine (2011) Master of Science in Computer Engineering from Islamic University, Gaza, Palestine (2011) Doctor of Philosophy in Computer Science from Izmir Institute of Technology, Izmir, Turkey (2019) Dr. Ahmed's research spans Artificial Intelligence, Machine Learning, and Data Mining with specialized expertise in Deep Learning and Natural Language Processing. Her work focuses on developing advanced computational models for text analysis and decision support systems, culminating in a published book and peer-reviewed publications. Her recent publication examines hybrid text summarization techniques that bridge extractive and abstractive approaches to improve cross-domain applicability, reflecting her commitment to advancing NLP methodologies through integrative frameworks. Through her WiDS Ambassador role, she actively promotes gender diversity in data science via mentorship programs and community engagement across Turkey.

Atakan EkizView profile

Assistant Professor

• Molecular Biology
• Oncology
• Immunology
• +4 more

Atakan Ekiz is an Assistant Professor in the Department of Molecular Biology at Izmir Institute of Technology, Turkey, and holds the UNESCO Chair in Biotechnology and Innovation (2023-present). His research focuses on cancer progression and immune evasion mechanisms, with a parallel emphasis on developing high-throughput data analysis tools like the CIPR-Shiny and CIPR-Package R applications. PhD in Molecular Biology/Oncological Sciences (University of Utah, 2018) MS in Clinical Investigation (University of Utah, 2018) BS in Molecular Biology and Genetics (Izmir Institute of Technology, 2011) His work spans immunology , oncology , and bioinformatics , with recent publications examining ARF6 trafficking, microRNA regulation, and microbiota influences on cancer immunotherapy. Articles highlight checkpoint blockade , T-cell senescence , and noncoding RNA functions in melanoma and colon cancer. Scientific awards include the 2025 Science Academy Young Investigator Award, 2024 EMBO Installation Grantee, 2023 Turkish Immunology Association Isil Berat Barlan Award, and multiple grants (Fulbright, HHMI). He teaches courses in immunology , computational biology , and bioinformatics .

Ramazan ALGINView profile

Lecturer

• Heuristic Methods
• Meta-Heuristic Methods
• Artificial Intelligence
• +2 more

Ramazan ALGIN is a full-time Lecturer at Istanbul 29 Mayıs University, Department of Computer Engineering. He earned his PhD in Computer Engineering (English) from Marmara University in 2024, following two master's degrees in Computer Engineering (Marmara University, 2016; Florida International University, 2018) and his bachelor's degree from Marmara University in 2013. Education BSc: Marmara University, Computer Engineering (2013) MSc: Marmara University, Computer Engineering (2016) MSc: Florida International University, Computer Engineering (2018) PhD: Marmara University, Computer Engineering (2024) His research focuses on heuristic and meta-heuristic methods, particularly in solving combinatorial optimization problems through artificial intelligence and machine learning techniques.

• Applied Mathematics
• Fractional Calculus
• Differential Equations
• +2 more

Assoc. Prof. Dr. Hatıra GÜNERHAN is an Associate Professor at Kafkas University's Dede Korkut Faculty of Education, Department of Mathematics and Science Education. She has held this position since 2021, previously working as a Doctoral Lecturer from 2017. Her academic career spans teaching various mathematics courses including Analysis, General Mathematics, and Computer Technologies across undergraduate and graduate programs. With over 80 publications and a strong research profile in applied mathematics, she contributes significantly to both education and mathematical research in Turkey. Dr. GÜNERHAN earned her PhD in Applied Mathematics at Atatürk University, Institute of Science, Turkey (2010-2013) following a Master's Degree from Islamic Azad University - Tabriz, Iran (2008-2010). Her primary research focus lies in Applied Mathematics , particularly Fractional Calculus and Differential Equations . She has made significant theoretical contributions to variable-order fractional differential equations and boundary value problems. Her work extends to practical applications in epidemiological modeling, including fractional-order models for smoking dynamics, COVID-19 transmission, and other disease modeling. She has also ventured into interdisciplinary research in medical imaging, machine learning, and mathematical education. Dr. GÜNERHAN's publication record demonstrates a consistent research trajectory with 81 publications including 68 articles, 12 conference papers, and 1 book chapter. Her most recent work shows an expansion into machine learning applications and interdisciplinary modeling approaches. With 1421 citations and an h-index of 19 on Google Scholar, her research has substantial academic impact. Dr. GÜNERHAN has supervised multiple master's theses including research on primary mathematics teacher candidates' views and nonlinear fractional disease models. She collaborates extensively with 146 researchers globally, reflecting successful research partnerships across disciplines. Her editorial work includes serving as guest editor for 'Special Topics in Differential Equations with Applications' (2022) and reviewing for numerous international journals. Though specific laboratory affiliations aren't detailed, Dr. GÜNERHAN's extensive collaboration network spans institutions worldwide, with research teams focusing on mathematical modeling applications across epidemiology, physics, finance, and medical imaging domains.

Erkan BülbülView profile

Lecturer

• Educational Technology
• E-Learning Systems
• Medical Education Technology
• +3 more

Erkan Bülbül serves as a Lecturer in the Computer Technologies Department at Gaziantep University's Technical Sciences Vocational School since 2014. His work focuses on advancing educational technology infrastructure, particularly within medical education contexts through e-learning systems and simulation-based training solutions. He holds a Master of Science in Management Information Systems (non-thesis) from Hoca Ahmet Yesevi International Turkish-Kazakh University, completed between 2011 and 2013. Bülbül's research centers on educational technology applications in medical education, with specific expertise in blended learning models, MOOC implementation, and electronic assessment systems. His work addresses critical challenges in distance learning during pandemics and develops infrastructure for simulation labs and objective structured clinical examinations. He investigates water conservation behaviors among medical students and communication skills training effectiveness, bridging environmental science with healthcare education. Analysis of his nine publications (2012-2022) reveals consistent focus on medical education technology evolution. Key trends include pandemic-driven distance education innovations, accreditation process optimization, and electronic examination system development. His recent work emphasizes simulation module integration and infrastructure modernization for medical training environments. As a researcher, Bülbül has contributed to seven funded projects including computer laboratory development, simulation lab establishment, and electronic examination systems at Gaziantep University Faculty of Medicine. These initiatives span national projects and international Erasmus+ collaborations focused on disability awareness curriculum development. He plays a pivotal role in modernizing Gaziantep University's educational infrastructure through simulation modules and electronic assessment tools. His current projects enhance Objective Structured Clinical Examination (OSCE) systems and develop advanced training environments for medical students, directly supporting curriculum modernization in healthcare education.

• Curriculum Development
• Educational Technology
• Test and Measurement in Education
• +5 more

Miray Dagyar serves as Associate Professor and Vice Dean at Akdeniz University's Faculty of Education, Department of Educational Sciences since 2017 (Vice Dean since 2022), following her lecturer position at Karamanoglu Mehmetbey University (2011-2013). Her academic credentials include: Doctorate (2014): Hacettepe University, Institute of Educational Sciences, Curriculum and Instruction Postgraduate (2008): Suleyman Demirel University, Program Development and Teaching Undergraduate (2006): Suleyman Demirel University, Faculty of Education, Basic Education Department Dr. Dagyar's research spans Curriculum Development, Educational Technology, and Test and Measurement, with signature contributions in Problem-Based Learning meta-analyses and Gifted Education. Her methodological expertise includes structural equation modeling and scale development for educational assessment, addressing critical gaps in student learning strategies and teacher effectiveness. Recent publications reveal consistent focus on instrument validation (e.g., problem-solving perception scales) and contextual analyses of educational challenges, particularly in multicultural settings and gifted education programs. She integrates psychological frameworks with practical curriculum design to enhance real-world problem-solving skills. She has supervised four master's theses examining: Foreign students' educational challenges (Altinişik, 2022) Problem-posing approaches in mathematics (Ersoy, 2022) Metacognitive awareness in language learning (Katman, 2019) Multicultural textbook analysis (Özen, 2019) Her research portfolio includes TÜBİTAK projects like 'Is there anyone who doesn't like mathematics among you?' exploring mathematics education interventions.

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.

Serap ÇAKAR KAMANView profile

Assistant Professor

• Computer vision
• Deep learning
• Object detection
• +6 more

Serap ÇAKAR KAMAN is an Assistant Professor at Sakarya University's Faculty of Computer and Information Sciences, Department of Computer Engineering. She has maintained a continuous academic career at the university since 2000, progressing from Research Assistant to Lecturer and finally to Assistant Professor. Her educational background includes: Doctorate in Electrical Engineering (2003-2009) from Sakarya University Institute of Science with thesis on "DIGITAL IMAGE WATERMARKING METHODS BASED ON MOMENT-BASED NORMALIZATION" Master's in Computer and Information Engineering (2000-2003) from Sakarya University Institute of Science with thesis on "DETECTING, TRACKING AND TARGET IDENTIFICATION OF OBJECT MOVEMENTS ON VIDEO IMAGES" Bachelor's in Electrical-Electronics Engineering (1996-2000) from Sakarya University Faculty of Engineering Dr. ÇAKAR KAMAN's research spans multiple domains within computer vision and artificial intelligence, with particular expertise in object detection, deep learning applications, and image processing. Her work bridges theoretical computer vision with practical applications in industrial automation, medical imaging, and electric vehicle technology. She has made significant contributions to metal surface defect detection, autonomous charging systems, and facial expression recognition for healthcare applications. Her research demonstrates a consistent pattern of applying advanced computer vision techniques to solve real-world problems across diverse domains. Analysis of her publication trends reveals a clear evolution from foundational work in digital image watermarking to cutting-edge applications of deep learning in industrial settings. Her recent publications (2023-2025) focus on practical implementations in agricultural technology (hazelnut kernel analysis), business intelligence (employee feedback analysis), and marine infrastructure (shore-to-ship charging). The consistent thread through her research is the development of robust computer vision algorithms that enhance automation and precision in various technical contexts. With an H-index of 4 in Web of Science and 114 citations, Dr. ÇAKAR KAMAN maintains an active research profile. Her academic contributions include teaching in the Department of Computer Engineering and likely supervision of graduate students, though specific student information isn't documented in the available materials. Her work contributes significantly to Sakarya University's research profile in computer engineering and supports Turkey's growing expertise in artificial intelligence applications. Her laboratory work appears to focus on computer vision systems with emphasis on real-time processing applications. The research groups she participates in likely include teams working on industrial automation, electric vehicle infrastructure, and medical image analysis, though specific team structures aren't detailed in the available information.

Ahmet ŞANSLIView profile

Lecturer

• Information Security and Cryptology
• Computer Software
• Information Systems
• +3 more

Ahmet ŞANSLI is a Lecturer at Sakarya University's Faculty of Computer and Information Sciences, Department of Computer Engineering. His academic journey includes a Bachelor's in Computer Engineering (2005), Master's in Computer and Information Engineering (2007), and Doctorate from the same institute (2020). He served as Deputy Director of the Computer Research and Application Center from 2018-2023. Research Expertise: Specializes in information security, cryptology, computer software engineering, and distributed systems. Key technical domains include web programming, cloud computing (BSM 470), mobile application development (BSM 447), and graduation project supervision. Publication Focus: Research spans cybersecurity applications (smart grids, DRM systems), network simulation tools, digital literacy studies, and biometric security. Recent works emphasize large-scale network analysis and critical infrastructure protection. Administrative & Projects: Deputy Director: Computer Research Center (2018-2023) Board Member: Distance Education Center (2022) Research projects: Real-time Ethernet protocol optimization (2010-2011)

ALİ FIRAT ÇABALARView profile

Professor

• Civil Engineering
• Geotechnical Engineering
• Soil Mechanics
• +3 more

Prof. Ali Fırat Çabalar is a distinguished academic in Civil Engineering with a focus on Geotechnical Engineering and Environmental Geotechnics. He is affiliated with Gaziantep University (Engineering Faculty, Civil Engineering Department) and served as a Visiting Research Professor at King's College London (The Dickson Poon School of Law) in 2024. His career spans roles such as Professor (2017-present), Associate Professor (2012-2017), and Assistant Professor (2009-2012) at institutions including Gaziantep University, Middle East Technical University, and University of London. PhD: University of Southampton (2003-2007) MSc: Gaziantep University (2000-2002) BSc: Gaziantep University (1995-2000) Additional degrees in Economics, Political Science, and International Relations from Istanbul and Anadolu Universities His research integrates geotechnical principles with AI and sustainability, emphasizing soil stabilization using waste materials (e.g., waste glass, sewage sludge ash, biopolymers), seismic site classification, and grain-scale soil behavior. Recent work explores GIS-based soil characterization, biopolymer applications in subgrade engineering, and machine learning for geotechnical modeling. Key trends in his 89+ publications include waste valorization, sustainable infrastructure, and advanced testing methodologies (bender elements, triaxial tests). He holds 10 national patents for innovative soil stabilization techniques and has led major projects like the 2023 TÜBİTAK study on earthquake-induced slope failures in Kahramanmaras. Stanford University - World's Most Influential Scientist (2023-2024) TÜBİTAK Publication Awards (multiple, 2015-2016) FABED Outstanding Achievement Award (2016) Prof. Çabalar has supervised 35+ graduate theses (7 PhD, 28 MSc) and served as editor for journals like Green Engineering for Global Sustainability and Development (MDPI) and Acta Scientiarum Polonorum (Poland). His administrative roles include Head of the Geotechnical Division at Gaziantep University since 2023.

Halil İbrahim ÇelikView profile

Professor

• Textile Sciences and Engineering
• Textile Technology
• Machine Vision Applications
• +5 more

Professor Halil İbrahim Çelik is a distinguished academic at Gaziantep University's Faculty of Engineering, Department of Textile Engineering, where he has served since 2005, progressing from Research Assistant to his current position as Professor (since 2024). His academic journey includes significant contributions to textile engineering, with particular expertise in machine vision applications, artificial intelligence in textiles, and carpet technology. He has held various administrative positions including Intern Tracking Coordinator, Social Awareness Projects Coordinator, ÖYP Coordinator, and Farabi Coordinator at Gaziantep University. Professor Çelik earned his education at Gaziantep University, completing his Doctorate in Mechanical Engineering (2007-2013), Master's in Textile Engineering (2004-2007), and Bachelor's in Textile Engineering (1999-2004). He also holds an Associate Degree in Foreign Trade from Anadolu University (2004-2006). His research interests span Textile Sciences and Engineering, Textile Technology, Machine Vision Applications, Artificial Intelligence in Textiles, Smart Textiles, Carpet Technology, and Composite Materials Testing. Professor Çelik has pioneered work in AI applications for fabric defect classification, machine vision systems for textile quality control, and innovative testing devices for carpet performance measurement. His research bridges traditional textile engineering with cutting-edge computational methods, creating practical industrial applications. Analysis of his recent publications reveals a strong focus on integrating artificial intelligence with textile manufacturing processes, particularly in quality control and predictive modeling. His work demonstrates a consistent trajectory toward developing smart, automated systems for textile production and quality assessment, with significant contributions in machine vision solutions for fabric inspection, AI-based property prediction, and innovative testing methodologies for carpets and composite materials. Among his recognitions, Professor Çelik received the 'Best University Reviewer' award from Osmaniye Korkut Ata University in 2017. His leadership extends to numerous research projects, including TÜBİTAK 1005 and 1505 projects focused on developing intelligent systems for textile quality control and innovative testing devices. Professor Çelik has supervised numerous graduate students, with completed theses covering topics such as AI applications in textile engineering, machine vision systems, carpet technology innovations, and sustainable textile production methods. His research group has secured significant funding through national research projects, particularly in the areas of machine vision for textile quality control and innovative carpet testing methodologies. His research team has developed several patented innovations, including earthquake warning filter systems, carpet static loading test devices, alternative finishing methods for woven carpets, and artificial vision systems for nonwoven surfaces. These developments demonstrate his commitment to translating academic research into practical industrial applications.

Esra Mete GüneyisiView profile

Professor

• Civil Engineering
• Earthquake Engineering
• Reinforced Concrete Structures
• +7 more

Professor Esra Mete Güneyisi is affiliated with Gaziantep University since 2020, serving within the Faculty of Engineering, Department of Civil Engineering . She holds a PhD and MSc in Civil Engineering from Boğaziçi University (2007 and 2002, respectively) and a BSc from the same institution (2000). Her research focuses on seismic analysis, composite structures, sustainable construction, and advanced material modeling. Education : PhD (Boğaziçi University, 2007), MSc (Boğaziçi University, 2002), BSc (Boğaziçi University, 2000) Professional Roles : Professor at Gaziantep University (2020–present), Associate Professor (2013–2020), Doctor Lecturer (2008–2013), Research Assistant at Boğaziçi University (2001–2008) Her research integrates artificial intelligence and finite element analysis for structural design, with a focus on reinforced concrete , steel structures , and seismic retrofitting . She has contributed to self-healing concrete and recycled aggregate applications . Her 15 most recent articles explore topics like rubberized CFST columns, eccentric bracing effects, and AI-driven design models, spanning civil engineering, materials science, and structural safety. She has supervised 19 PhD and 49 Master’s theses, addressing nonlinear structural analysis, seismic retrofitting, and composite materials. Her projects include TÜBİTAK-funded studies on structural behavior and international collaborations like the PROHITECH initiative. Memberships include the Structural Steel Association (2010) and the TMMOB-Chamber of Civil Engineers (2007).

AYŞE YETER GÜNALView profile

Assistant Professor

• Civil Engineering
• Hydrology
• Fluid Mechanics
• +5 more

Ayşe Yeter GÜNAL serves as an Assistant Professor in the Department of Civil Engineering at Gaziantep University's Faculty of Engineering, Turkey. With over 30 years of academic experience since 1992, she has held positions including Lecturer in Geotechnical Engineering and Doctor Lecturer in Hydraulics, demonstrating sustained commitment to civil engineering education and research. Her academic foundation includes: Doctorate in Civil Engineering (2008-2015), Gaziantep University Master's in Civil Engineering (1997-2001), Kahramanmaraş Sütçü İmam University Bachelor's in Civil Engineering (1986-1991), Middle East Technical University, Gaziantep Dr. GÜNAL's research centers on hydrological systems and sustainable infrastructure , with pioneering work applying fuzzy logic (SMRGT) and artificial intelligence to water resource challenges. Her expertise spans climate change impact analysis, flow coefficient modeling, and wastewater management in humanitarian contexts, while her secondary focus explores sustainable construction through recycled materials and carbon footprint reduction. Recent publications (2023-2024) reveal a strategic shift toward AI-driven hydrological solutions and humanitarian engineering applications , with 60% of her work addressing climate change impacts on water systems and 30% focused on sustainable construction in conflict zones like Syria and Gaza. This interdisciplinary approach bridges computational hydrology, environmental engineering, and structural analysis. As a dedicated educator, she has supervised 15 graduate students across diverse water resource and structural engineering topics. Notable mentorship includes: PhD research on fuzzy SMRGT for flow coefficient modeling (2023) Master's theses on Murat River Basin drought analysis (2025) and Gaza Strip groundwater quality (2022) Multiple studies on water distribution systems for IDP camps in Northwest Syria

MEHMET MERKEPÇİView profile

Assistant Professor

• Cryptography
• Artificial Neural Networks
• Biomedical Engineering
• +2 more

Mehmet Merkepçi serves as an Assistant Professor in the Department of Computer Engineering at Gaziantep University's Faculty of Engineering, Turkey. Holding a Doctorate in Electrical and Electronic Engineering (2017), he has maintained continuous academic affiliation with the university since 2007 through progressive roles from Research Assistant to his current position. Academic Background: Doctorate (2017): Gaziantep University, Institute of Science, Electrical and Electronic Engineering Master's (2009): Gaziantep University, Institute of Science, Electrical and Electronics Engineering Bachelor's (2000): Karadeniz Technical University, Faculty of Engineering, Electrical-Electronic Engineering Merkepçi's research demonstrates exceptional interdisciplinary breadth with core emphasis on Cryptography and Artificial Neural Networks . His recent work pioneers neutrosophic number theory applications in public key cryptography, significantly advancing RSA and El Gamal algorithms. Parallel research trajectories include biomedical signal processing using photoplethysmography for non-invasive monitoring systems, and textile engineering innovations in fabric porosity and air permeability analysis. This multifaceted approach bridges theoretical mathematics with practical engineering solutions across diverse domains. Publication analysis reveals 10 journal articles concentrated in 2022-2025, with cryptographic research constituting 60% of recent output. The remaining publications demonstrate sustained engagement in biomedical engineering (20%) and textile science (20%), indicating strategic diversification while maintaining cryptographic expertise as the research cornerstone. This distribution reflects deliberate specialization in security-critical applications alongside targeted explorations of neural network implementations in physical systems. Merkepçi teaches advanced courses including Security Engineering and Occupational Safety at graduate level, and foundational undergraduate instruction in Computer Programming, Database Management, and Engineering Mechanics. His administrative service includes Department Vice Chairman (2020-present) and former Department Head (2020-2024), demonstrating institutional leadership alongside research and teaching responsibilities.