جست‌وجوی استاد و پژوهشگر

• Science Education
• Early Childhood Education
• Special Education
• +۳ مورد دیگر

Jale KALEMKUŞ is an Assistant Professor at Kafkas University's Vocational School of Social Sciences, Department of Child Care and Youth Services. She has been serving as a full-time faculty member since 2017 and currently holds the position of Department Chair (2020-present). Her academic career at Kafkas University spans multiple roles including Lecturer and Doctoral Faculty Member, with extensive teaching experience across various early childhood education courses. Education: PhD in Classroom Education, Institute of Educational Sciences, Necmettin Erbakan University (2014-2018) Master's Degree in Classroom Teaching, Institute of Social Sciences, Selçuk University (2006-2009) Bachelor's Degree in Basic Education, Faculty of Education, Kocaeli University (2002-2006) Jale KALEMKUŞ specializes in Science Education with particular focus on early childhood development, special education, and educational technology applications. Her research explores metacognition, argumentation techniques, and the integration of digital tools in science instruction. She has developed expertise in analyzing children's perceptions of scientific concepts and investigating effective teaching methodologies for primary education. Her publication record shows a strong trend toward educational technology integration in science education, with increasing focus on artificial intelligence applications, augmented reality, and digital storytelling in recent years. The research consistently addresses practical classroom applications while maintaining strong theoretical foundations in cognitive development and learning sciences. Scientific Awards: Best Researcher Award from ScienceFather (2025) TÜBİTAK Publication Incentive Award (2024) Academic Incentive Award from Kafkas University (2024) Academic Incentive Award from Kafkas University (2023) Dr. KALEMKUŞ has demonstrated significant impact in her field with 116 citations across her 32 publications. She has taught over 140 courses spanning early childhood development, special education principles, science and mathematics education, and learning-teaching techniques. Her collaborative research network includes scholars from Ordu University, Necmettin Erbakan University, and various international institutions. Her professional activities extend to creating traditional educational materials showcased in multiple national exhibitions (2013-2016), demonstrating her commitment to both digital and hands-on educational approaches. She maintains an active research agenda focused on 21st century learning skills and innovative science teaching methodologies.

• Materials Physics
• General Physics
• Electromagnetism
• +۱ مورد دیگر

Türkan MALKOÇ serves as an Assistant Professor and Department Head at Kafkas University's Kağızman Vocational School within the Department of Medical Services and Techniques since 2018. Her academic career spans materials physics research with focus on shape memory alloys and magnetic properties, while teaching opticianry courses including Opticianry I-III, Refraction, Contact Lens, and Quality Assurance. Education: PhD in Physics (2011-2014), Fırat University, Institute of Science Associate Degree in Law (2011-2013), Anadolu University, Open Education Faculty MSc in Physics (1999-2002), Fırat University, Institute of Science Bachelor of Arts in Physics (1995-1999), Fırat University, Faculty of Arts and Sciences Research Focus: Dr. MALKOÇ specializes in Materials Physics with emphasis on shape memory alloys, particularly ferromagnetic variants. Her work investigates the relationship between thermal treatments, microstructure, and magnetic behavior in Heusler alloys (NiMnSn, FeCrV systems) and Co-based alloys. She employs both experimental methods like thermal analysis and crystal structure characterization, alongside theoretical modeling approaches including the Transverse Ising Model. Her research has significant implications for developing advanced magnetic shape memory materials with potential applications in sensors and actuators. Publication Trends: Her 11 publications (6 journal articles, 5 conference papers) demonstrate consistent focus on shape memory alloys since 2003, with increased specialization in magnetic shape memory materials since 2014. Recent work centers on Heusler alloys, particularly examining electron concentration effects and thermal treatment impacts on phase transformation behavior. The research shows strong international recognition with 94 total citations and an h-index of 3. Research Leadership: Dr. MALKOÇ has led two significant research projects as Principal Investigator: 'Thermal treatment effect on NiMnSn-based magnetic shape memory alloy' (2022-2023) and 'Modeling of Cr doping effect on Fe50−xCr25+xV25 Heusler alloy' (2022-2023). She previously contributed as Researcher to 'Production and investigation of ferromagnetic shape memory alloys' (2013-2015). Her collaborative network spans multiple Turkish universities including Fırat University, Gazi University, and Bitlis Eren University, with frequent collaboration with researchers like Fethi Dağdelen and Mediha Kök.

• Forest Road Planning
• Forest Harvesting and Transportation
• GIS & Remote Sensing Applications in Forestry
• +۱ مورد دیگر

Prof. Dr. Abdullah Emin AKAY is a faculty member at Bursa Technical University, affiliated with the Faculty of Forestry and the Department of Forest Engineering . His research focuses on forest road planning, harvesting operations, GIS/Remote Sensing applications, and ergonomics in forestry. Research Highlights: Advanced geospatial techniques for forest fire risk mapping Optimization of logging operations via UAVs and machine learning Assessment of forest road impacts on fire suppression effectiveness Ergonomic safety in forestry machinery operations Recent publications emphasize the integration of GIS and AI for environmental risk assessment, with applications in erosion modeling, wildfire prediction, and sustainable forest infrastructure planning. Key methodologies include Random Forest , Artificial Neural Networks , and UAV photogrammetry . Prof. AKAY has made significant contributions to improving forest road standards for firefighting accessibility and optimizing timber extraction processes through multi-criteria decision analysis.

• Forest Ecology
• Remote Sensing
• Geographic Information Systems (GIS)
• +۵ مورد دیگر

Burhan GENCAL is a Researcher at the Department of Forest Engineering , Faculty of Forestry , Bursa Technical University . His work focuses on Geographic Information Systems (GIS) , Dendrometry , Forest Yield , and Remote Sensing . Recent publications highlight advancements in Deep Learning for forest monitoring, Land Use/Land Cover Analysis , and Integrated Pest Management . Research Trends : Over the past five years, Dr. GENCAL has investigated spatiotemporal changes in forest ecosystems, soil nutrient dynamics in relation to topography, and precision forestry using drone technology. His studies often integrate GIS and satellite imagery for sustainable forest management. Contact : Email: burhan.gencal@btu.edu.tr Phone: +90 (224) 300 3514 Address: Mimar Sinan Campus, A Block / 417, Bursa Technical University

Gönenç Onayمشاهده پروفایل

استادیار

• Logic
• Algebra
• Machine Learning
• +۳ مورد دیگر

Gönenç Onay is a mathematician affiliated with Galatasaray University as an Assistant Professor, focusing on logic, algebra, and machine learning. He actively bridges pure mathematics with applied computational methods, contributing to seismic data analysis through the Sismomath platform and co-organizing interdisciplinary workshops and seminars. PhD in Pure Mathematics (Paris) Master’s from University Grenoble Experienced in teaching/research roles across Paris, Istanbul, and Münster His research spans mathematical logic, algebraic structures, and machine learning optimization techniques. Recent work introduces the SMB optimizer, challenging existing methods like ADAM and SGD. He is deeply involved in academic outreach, organizing seminars and workshops on mathematics education and formal sciences. Publications highlight his interdisciplinary efforts in machine learning and seismic data analysis. He collaborates internationally, as seen in the 2024 workshop co-organized with Pascale Roure at Yıldız Teknik University, featuring Oxford scholars. He engages in academic mentorship and promotes cross-disciplinary dialogue, particularly between French and Turkish educational approaches in mathematics.

• Approximation Theory
• Summability Theory
• Nonlinear Approximation
• +۳ مورد دیگر

Oktay Duman is a Full Professor of Mathematics at TOBB University of Economics and Technology (TOBB ETU) in Turkey. He has been a faculty member in the Department of Mathematics since 2004 and currently serves as the Dean of the Faculty of Arts and Sciences and the Head of the Department of Mathematics. Dr. Duman earned his Ph.D. in Mathematics from Ankara University in 2003. His research focuses on approximation theory and summability theory, with significant contributions to nonlinear operators, statistical convergence, and fuzzy approximation. He has authored over 100 scientific articles and four international books. Approximation Theory Summability Theory Nonlinear Operators Statistical Convergence Fuzzy Approximation Korovkin-Type Theorems Recent publications highlight his work on hybrid Shepard–Lagrange operators, max-product approximations, and summability applications in multivariate and complex function approximation. His research trends include enhancing convergence rates and error estimation through novel operator combinations. Scientific honors include: Research Reward dedicated to Professor Masatoschi Gündüz Ikeda (2004) Best Organizer Award (Brussels, 2019) Associate Member of Turkish Academy of Sciences (TÜBA) (2012) Principal Member of Turkish Academy of Sciences (TÜBA) (2020) Dr. Duman has supervised 12 graduate students (four doctoral) and secured grants like the TUBITAK grant for his 2015 visiting scientist role at the University of Central Florida. He has chaired organizing committees and participated in scientific committees at numerous conferences.

• Supply Chain Management
• Operations Research
• Flexible Manufacturing Systems
• +۶ مورد دیگر

MÜJDE GENEVOIS is a Professor at Galatasaray University's Faculty of Engineering and Technology, Department of Industrial Engineering. She has been a faculty member since 1993, progressing from Research Assistant to full Professor, with significant administrative roles including Vice Dean (2023-2024) and Secretary General (2016-2023). Her educational background includes a Doctorate (1996-1999) and Postgraduate studies (1995-1996) from Institut National Ploytechnique de Grenoble in Industrial Engineering, and an Undergraduate degree (1989-1993) from Istanbul Technical University in Business Engineering. Professor Genevois specializes in supply chain management, particularly focusing on ATM cash optimization, sustainable manufacturing, and decision support systems. Her research integrates operations research, fuzzy logic, and mathematical programming to solve complex industrial problems. She has developed innovative approaches for cash management in banking systems, flexibility assessment in manufacturing, and sustainable product design. Her publication record shows a clear trajectory from theoretical operations research in early career to applied banking and sustainability research in recent years. The most recent articles demonstrate strong focus on ATM cash management optimization, bullwhip effect mitigation in supply chains, and application of computational intelligence in financial and healthcare domains. As an academic advisor, she has supervised 28 graduate theses across diverse topics including cash replenishment strategies, reverse logistics networks, sustainability in supplier selection, and flexibility portfolio management. She has led numerous research projects funded by Higher Education Institutions, with recent projects focusing on disease risk prediction, supply chain operations under uncertainty, and banking sector ATM and cash management systems. Professor Genevois maintains an active research laboratory focused on industrial engineering applications, with current work emphasizing machine learning applications in cash demand prediction, sustainable supply chain management, and healthcare operations optimization.

• Computer Science
• Artificial Intelligence
• Machine Learning
• +۹ مورد دیگر

Prof. Dr. Hayri Sever is a full-time faculty member at Çankaya University, Department of Computer Engineering, since 2018. He previously held professorship roles at Hacettepe University (1997-2018), University of Massachusetts Amherst (2000-2002), and Başkent University (2003-2007). His academic journey includes a PhD in Computer Science from the University of Louisiana at Lafayette (1995), a Master's from the University of Maine (1991), and a BSc in Computer Engineering from Hacettepe University (1987). Education: PhD (1995), Computer Science, University of Louisiana at Lafayette MS (1991), Computer Science, University of Maine BSc (1987), Computer Engineering, Hacettepe University Prof. Sever's research spans Artificial Intelligence, Data Mining, Natural Language Processing, Cybersecurity, and Machine Learning . His recent work focuses on applications in violence detection in videos, sentiment analysis, blockchain security, medical decision support systems, and Turkish language processing. He has supervised over 40 graduate students in topics ranging from deep learning to blockchain and IoT security. His 15 most recent publications (2019-2024) highlight expertise in deep learning for video analysis , blockchain reputation systems , 3D CNN applications , and sentiment analysis in Turkish/Arabic . Collaborations include institutions like Hacettepe University, University of Massachusetts, and international projects funded by TÜBİTAK, UNESCO, and the UN. He has led projects such as "KGYS: Smart Support Software Development" and "DiCoMa: Disaster Control Management" , with roles as researcher, coordinator, and advisor. Professional memberships include IEEE (2005-), ACM (2002-), and Tübitak (2005-).

Husnu Yenigunمشاهده پروفایل

استاد

• Automata Theory
• Concurrency Theory
• Formal Methods
• +۵ مورد دیگر

Husnu Yenigun is a Professor at Sabanci University's Computer Science and Engineering Program , Faculty of Engineering and Natural Sciences (Istanbul, Turkey). He earned his BSc, MSc, and PhD in Electrical and Electronics Engineering from Middle East Technical University (Ankara) in 1992, 1995, and 2000 respectively. His professional career includes roles at TUBITAK (1992-1997), Bell Laboratories (1997-1998), and as a consultant at Bell Labs (1999-2000). Research interests: Dr. Yenigun specializes in automata and concurrency theory, formal methods, software quality assurance, model checking, and complexity relief techniques for software verification. His work bridges theoretical automata analysis with practical testing frameworks. Key publication trends: His recent work spans automata synchronization (2018-2021), matrix optimization (2017-2018), and adaptive testing sequences (2016-2018), with applications in Wireless positioning systems Finite state machine verification Parallel computing Formal method implementations Professional activities: He serves on technical program committees for major conferences like MODELSWARD, QRS, and ICTSS (2016-2025). He chaired the programming committee for ICTSS 2013 and 2017, and co-chaired UYMS 2018. He also acted as guest editor for the International Journal on Software Tools for Technology Transfer (2016). Contact: yenigun@sabanciuniv.edu | Office: FENS 2054, Sabanci University

Sona Mardikyanمشاهده پروفایل

استاد

• Information Systems
• Multivariate Statistics
• Data Mining
• +۱ مورد دیگر

Prof. Dr. Sona Mardikyan is a faculty member at Bogazici University, specializing in quantitative methods and information systems. Her educational background includes a B.S. in Control and Computer Engineering from Istanbul Technical University, an M.A. in Industrial Engineering from Bogazici University, and a Ph.D. in Business Administration (Quantitative Techniques) from Istanbul University. She teaches courses such as Statistics, Data Mining, Multivariate Statistical Methods, and Information Systems Technologies. Her research focuses on Information Systems , Multivariate Statistics , Data Mining , and e-Learning . She investigates technology adoption patterns, social media analytics, educational technology impacts, and e-commerce optimization, often using advanced statistical modeling and AI techniques. Her publications emphasize emerging technological trends, including AI-driven customer analytics, social media metrics, IoT scientometrics, and digital transformation in education and business. A consistent focus on empirical validation and real-world applications characterizes her work. Awards: Best Paper Award at the 5th International Management Information Systems Conference (2018) for research on call center efficiency using text mining. She actively mentors academic projects and contributes to international conferences, though specific student advisees and grants are not detailed in the source material.

N. Ziya Perdahçıمشاهده پروفایل

دانشیار

• Network Science
• Social Network Analysis
• Data Analytics
• +۳ مورد دیگر

N. Ziya Perdahçı is an Associate Professor at Bogazici University, specializing in Management Information Systems . His research focuses on network science applied to social, educational, and business contexts, including stochastic block models, customer segmentation, and digital platform analysis. He teaches courses in programming, databases, and business application development. Education: Undergraduate: Bogazici University, Physics M.A.: Bogazici University, Physics Ph.D.: Bogazici University, Physics Research Interests: Stochastic Block Models Statistical Social Network Analysis Customer/Product Segmentation Technology Adoption Users’ Interconnectedness Analytics Social Network Correlations Patents: Electricity generation device (TR 2007 07104B, 2007) Ceramic sliced helical heater (24466, 1990) His recent work explores digitalization in art (NFTs, Metaverse), technology acceptance models for website analysis, and co-purchase behavior in e-commerce. He has published extensively on network-based theories in education, healthcare, and cloud computing environments. He collaborates frequently with Mehmet Nafiz Aydin and Kenan Kafkas on interdisciplinary projects combining physics principles with information systems research. His book chapters cover metadata action networks and big data analytics frameworks.

Birgül Kutlu Bayraktarمشاهده پروفایل

استاد

• Information Systems
• Remote Education
• Artificial Neural Networks
• +۴ مورد دیگر

Birgül Kutlu Bayraktar is a Professor at Boğaziçi University, Turkey, with a distinguished career spanning over two decades in information systems and educational technologies. Her work bridges theoretical computer science with practical applications in learning environments and corporate training. Her academic foundation includes: High School: BAL Undergraduate: Boğaziçi University, Electrical Engineering Masters: Michigan Tech University, Electrical Engineering Ph.D.: Ege University, Computer Engineering Professor Kutlu Bayraktar's research centers on Information Systems , Remote Education , Artificial Neural Networks , and Artificial Intelligence , with significant contributions to Recommender Systems , Learning Management Systems , and Serious Games . Her work explores how technology enhances educational outcomes, particularly through mobile and virtual environments, while addressing corporate e-learning adoption and location-based social applications. She emphasizes user experience and behavioral impacts in digital learning contexts. Analysis of her 2013-2020 publications reveals a strong trajectory in AI-driven educational tools, including mobile serious games for programming education and hybrid recommender systems for location-based services. Her research consistently connects theoretical models with empirical studies in Turkish and international contexts, demonstrating expertise in both quantitative analysis and human-centered design. Scientific Awards: No awards were documented in the source material. Regarding academic mentorship, the provided information does not specify supervisees or grant funding, though her extensive publication record suggests significant research leadership. No dedicated laboratories or formal research teams are mentioned, though her frequent collaborations with researchers like A. Bozanta and H. Kimiloglu indicate active interdisciplinary networks.

Ahmet Onur Durahimمشاهده پروفایل

مدرس

• Artificial Intelligence
• Big Data Analytics
• Social Network Analysis
• +۴ مورد دیگر

Ahmet Onur Durahim is a Lecturer at Boğaziçi University , specializing in Artificial Intelligence, Big Data Analytics, and Cybersecurity. With a PhD in Computer Science and Engineering from Sabancı University, his research focuses on social media analysis, cryptographic protocols, and network security. Education: Sakarya Anadolu Lisesi (High School) Boğaziçi University: B.S. in Industrial Engineering and Construction Engineering (Double Major) Boğaziçi University: M.S. in Civil Engineering Sabancı University: PhD in Computer Science and Engineering Durahim's research spans AI applications in social media, big data processing, and security protocols for wireless networks. His work includes sentiment analysis on Twitter, spam detection frameworks, and cryptographic authentication systems. Recent publications highlight his contributions to cryptocurrency interest identification, music emotion classification, and spam review detection. His methodological focus includes semi-supervised learning and imbalanced data handling.

Zuhal Tanrıkuluمشاهده پروفایل

استاد

• Information Systems Development
• Information Systems Management
• Systems Success and Failure
• +۳ مورد دیگر

Zuhal Tanrıkulu is a Professor in the field of Management Information Systems, with a multidisciplinary background in Electronics and Communication Engineering, Control and Computer Engineering, and Business Administration. She has taught courses spanning enterprise information systems, global IS success metrics, soft computing applications, and graduate seminars. Research Focus: Her work centers on information systems development, systems success/failure analysis, e-learning technologies, and health information systems. Recent publications emphasize password security algorithms, mobile learning sustainability, and data mining applications. Publication Trends: Over the past decade, her research spans cybersecurity, digital transformation, and educational technology. Key subfields include network security protocols, business model innovation, and intelligent system integration in service processes.

Semiha Tedik Başaranمشاهده پروفایل

استادیار

• Wireless communications
• Network coding
• 5G and beyond networks
• +۷ مورد دیگر

Semiha Tedik Başaran is an Assistant Professor in the Department of Electronics and Communication Engineering at Istanbul Technical University's Faculty of Electrical and Electronics Engineering. She received her PhD in Telecommunications Engineering from Istanbul Technical University in 2019 and has been working at the university since 2011, first as a Research Assistant and then as an Assistant Professor starting in 2020. Her educational background includes: PhD in Telecommunications Engineering from Istanbul Technical University (2013-2019) MSc in Telecommunications Engineering with Thesis from Istanbul Technical University (2011-2013) Bachelor's Degree in Electronics and Communication Engineering (Double Major) from Istanbul Technical University (2006-2011) Dr. Başaran's research focuses on wireless communications, network coding, and next-generation wireless networks. Her work spans theoretical analysis and practical implementation of communication systems, with particular emphasis on network coded cooperation, physical layer security, and wireless network reliability. She has made significant contributions to understanding the performance of network coded systems in various wireless environments, including satellite communications and 5G/6G networks. Her recent publications demonstrate a growing interest in integrating artificial intelligence with wireless communications, particularly for IoT applications and edge computing, while also advancing research in THz communication systems and their challenges in adverse weather conditions. Her scientific achievements have been recognized with several prestigious awards: Doctoral Thesis Award from Istanbul Technical University (2020) IEEE Türkiye Doctoral Thesis Award (2020) Best Poster Award at IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE-2016) (2016) Dr. Başaran serves as Principal Investigator for multiple research projects including 'Designing 5G and Beyond Cellular Private Networks Secure Against DDoS Attacks,' 'Performance Analysis of THz Communication Systems,' 'Coverage Analysis of LEO Satellite Systems,' and 'Development of Multiple Access Techniques Providing Low Latency Performance for Next Generation Communication Systems.' Her h-index of 8 (based on Scopus) reflects her impactful contributions to the field of wireless communications, with 36 research outputs spanning from 2013 to 2024. She maintains an active research lab focused on wireless communications and network coding, where her team works on both theoretical analysis and practical implementation of next-generation communication systems using software-defined radio platforms, with strong international collaborations extending across multiple countries as indicated by her research footprint.