جست‌وجوی استاد و پژوهشگر

• Blockchain Technology
• Cyber Security
• Computer Networks
• +۶ مورد دیگر

Enis Karaarslan is a Professor in the Department of Computer Engineering at Muğla Sıtkı Koçman University's Faculty of Engineering. With a distinguished academic career spanning over two decades, he has established himself as a leading expert in blockchain technology, cybersecurity, and decentralized systems. His educational background includes a Bachelor's, Master's, and Doctorate all from Ege University, completed between 1994 and 2008. Dr. Karaarslan's research interests focus on the intersection of emerging technologies and practical applications, particularly in blockchain for disaster management, cybersecurity systems, metaverse technologies, and AI applications. His work demonstrates a consistent pattern of addressing real-world challenges through technological innovation, with a strong emphasis on privacy preservation and decentralized architectures. Analysis of his publication record reveals a significant trend toward blockchain applications across various domains including disaster response, healthcare, voting systems, and identity management. His recent work shows increasing focus on metaverse technologies and digital twin applications, reflecting his ability to stay at the forefront of emerging technological paradigms. The breadth of his research spans from theoretical foundations to practical implementations, with numerous papers addressing performance metrics, security evaluations, and real-world case studies. Best Paper Award (2016) Multiple TÜBİTAK research projects as principal investigator or consultant Extensive editorial work for journals including Journal of Metaverse As an educator, Dr. Karaarslan has supervised numerous graduate students through their thesis work and teaches advanced courses in computer networks, decentralized systems, and cybersecurity. His research projects demonstrate strong industry and government collaboration, particularly with TÜBİTAK-funded initiatives addressing national security, privacy concerns, and technological infrastructure development. His laboratory work focuses on practical implementations of theoretical concepts, with emphasis on testbed development for blockchain applications and security evaluation frameworks.

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.

Tuğkan Tuğlularمشاهده پروفایل

استاد

• Software Engineering
• Software Testing
• Model-Based Development
• +۳ مورد دیگر

Tuğkan Tuğlular is a Professor in the Department of Computer Engineering at Izmir Institute of Technology (IYTE). He earned his B.Sc., M.Sc., and Ph.D. from Ege University's Computer Engineering Department in 1993, 1995, and 1999, respectively. Prior to joining IYTE in 2000, he worked as a research assistant at Purdue University (1996–1998). He has served as the Head of the Informatics Board at IYTE (2003–2007) and currently advises the Rector on Information Technologies. With over 60 publications, his research focuses on model-based testing, software product line engineering, and cybersecurity. Education: B.Sc. in Computer Engineering, Ege University (1993) M.Sc. in Computer Engineering, Ege University (1995) Ph.D. in Computer Engineering, Ege University (1999) Research Interests: Model-based testing methodologies, software product line testing, formal methods in software engineering, and cybersecurity. His work emphasizes automated test case generation, mutation testing, and the integration of behavioral-driven development with software architectures. Projects: He leads the TÜBİTAK ARDEB 1001 project on developing event sequence graph-based test generation methods for agile software product lines. His contributions span cybersecurity frameworks, container logistics systems, and enterprise web security infrastructure. Teaching: Teaches courses such as Fundamentals of Programming, Software Systems Development, and Software Testing at IYTE.

Celal Yasarمشاهده پروفایل

استاد

• Electrical Facilities
• Electrical Energy and Power Systems
• Optimization Algorithms
• +۳ مورد دیگر

Prof. Dr. Celal Yasar is a Professor of Electrical-Electronics Engineering at Dumlupınar University's Faculty of Engineering since 2020. He previously held roles as Associate Professor (2014–2020) and Assistant Professor (2001–2014). He has served as Vice Dean twice (2005–2010 and 2017–2020) and Vocational School Director (1995–1997). His education includes a PhD in Electrical-Electronic Engineering from Eskişehir Osmangazi University (1999), a Master's from Anadolu University (1988), and a Bachelor's from Istanbul Technical University (1980). Research focuses on optimization algorithms applied to electrical energy systems, including power distribution, hydrothermal scheduling, and smart grid technologies. Notable projects include 'Optimization Applications for Multidimensional Engineering Problems' (2022–2024) as a consultant and 'Improving the performance of heuristic algorithms for power distribution' (2016–2017). He has authored 85+ publications on topics like gravitational search algorithms, artificial bee colony approaches, and environmental economic dispatch problems. No scientific awards are listed. He teaches courses such as 'Smart Grid Applications,' 'Optimal Operation of Energy Systems,' and 'High Voltage Techniques.' His work emphasizes algorithmic solutions for energy system challenges with a focus on efficiency and sustainability.

MEHMET ALI YÜZBAŞIOĞLUمشاهده پروفایل

مدرس

• Accounting
• Forensic Accounting
• Management and Cost Accounting
• +۷ مورد دیگر

Mehmet Ali Yüzbaşıoğlu is a Lecturer at Gaziantep University's Oğuzeli Vocational School in the Law Department, where he has been teaching since 2013. His academic career spans multiple disciplines including accounting, mathematics, law, and computer science, reflecting his diverse educational background. He teaches courses in financial management, cost accounting, computer programming, and various law subjects. His research interests primarily focus on accounting systems, forensic accounting, and the integration of technology in accounting practices. He has published extensively on computerized accounting systems, cryptocurrency accounting, and the legal aspects of financial management. His work bridges the gap between traditional accounting practices and modern technological advancements, with particular attention to Turkish legal frameworks. His recent publications demonstrate a strong trend toward examining the intersection of accounting, technology, and law, with significant focus on cryptocurrency accounting, data protection in accounting systems, and green finance. His research shows increasing specialization in how digital transformation affects traditional accounting practices, particularly within the Turkish regulatory environment. TUBITAK 2211-A Doctoral Scholarship (2018) Yüzbaşıoğlu has served in various administrative roles at Gaziantep University, including Department Head and Vocational School Vice Rector. His research projects primarily focus on mathematics education techniques, though his publications indicate a stronger research trajectory in accounting and finance. He has led six research projects related to mathematics education, demonstrating his commitment to pedagogical innovation despite his primary research focus shifting toward accounting. His academic profile reflects a multidisciplinary approach, with affiliations across mathematics, computer science, law, and business administration departments. This diverse background enables him to approach accounting problems from multiple perspectives, particularly valuable in examining the technological and legal dimensions of modern accounting practices.

Musa BALTAمشاهده پروفایل

استادیار

• Computer Networks
• Cybersecurity
• Artificial Intelligence
• +۶ مورد دیگر

Musa BALTA is an Assistant Professor in the Department of Cyber Security Engineering at Sakarya University's Faculty of Computer and Information Sciences. He maintains an active research and teaching career focusing on cybersecurity, computer networks, and artificial intelligence applications in critical infrastructure protection. His educational background includes a Doctorate (2012), Master's Degree (2009-2016), and License (2004-2009), all from Sakarya University in Computer and Information Engineering/Computer Engineering. His doctoral thesis focused on SDN-based VANET architecture for urban traffic management systems. Dr. BALTA's research spans several critical areas including cybersecurity for critical infrastructure (particularly water and energy systems), software-defined networking, vehicular ad-hoc networks, and fuzzy logic applications in traffic management. His work demonstrates a consistent focus on applying artificial intelligence techniques to solve real-world problems in network security and transportation systems. He has developed secure testbed infrastructures for both energy and water management systems, highlighting his contribution to critical infrastructure protection. His publication record shows a clear trajectory from network topology discovery (early career) to sophisticated applications of AI in critical infrastructure security (recent work). The most recent publications focus on image-based security techniques for water infrastructure, advanced testbed development for energy systems, and continued work on intelligent traffic management solutions. EFQM Excellence Award Dr. BALTA teaches various computer engineering courses including Logic Circuits, Computer Engineering Design, Internet Engineering, Network Programming, and Network Security. His current course load demonstrates expertise across foundational computer engineering topics and specialized security courses. He has supervised graduation projects and appears to be involved in several research projects related to critical infrastructure security, including projects titled 'Artificial Intelligence and Big Data Supported Water Quality Monitoring and Anomaly Detection System for Water Management Systems,' 'Integrated Security Management Platform Design and Application for Meter Management Systems in Software Defined Smart Grids,' and 'Development of Cybersecurity Capabilities for Energy Critical Infrastructure (SYNERGY) Project.' His research group appears to focus on critical infrastructure protection, with particular emphasis on developing testbed infrastructures for both energy (CENTER Energy) and water (CENTER Water) systems. This work positions his team at the intersection of cybersecurity, industrial control systems, and critical national infrastructure protection.

Banu Günel Kılıçمشاهده پروفایل

استاد

• Signal Processing
• Artificial Intelligence
• Software Engineering
• +۴ مورد دیگر

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

• Parallel and Distributed Systems
• Machine Learning
• Embedded Systems
• +۴ مورد دیگر

Dr. Kadir Özlem is a Researcher at Istanbul Technical University's Department of Computer Engineering within the Computer and Informatics School. His work bridges computer engineering with soft robotics and wearable technology, focusing on textile-based sensor systems and actuation mechanisms. PhD in Computer Engineering 2018–present: Researcher at Istanbul Technical University 2016–2018: Software Engineer at Pinnera His research spans soft robotics , machine learning , sensor systems , and textile engineering . Recent projects explore: Cloud-based control systems for telerehabilitation gloves Fog computing frameworks in electronic textiles Thermally actuated textile exoskeletons Scalable fabrication of biaxial fabric motors He has contributed to 20+ publications since 2019, focusing on capacitive sensors , gesture recognition , ECG monitoring , and smart clothing . Collaborations span Turkey, Czech Republic, Poland, and Switzerland. His work integrates computer science with materials engineering , creating wearable systems for health monitoring, rehabilitation, and interactive applications. He utilizes 3D knitting , fog computing , and nature-inspired designs to develop flexible, scalable solutions.

• Textile and Fashion Design
• Garment Production
• Textile Engineering
• +۳ مورد دیگر

Raşit ARSOY serves as a full-time Lecturer and Department Head in the Textile and Fashion Design Department at Kafkas University's Faculty of Fine Arts since 2019. Holding a PhD in Textile Engineering from Süleyman Demirel University, he bridges academic theory with industrial applications in textile manufacturing and fashion technology. Education: PhD in Textile Engineering, Süleyman Demirel University, Faculty of Engineering (2010-2015) Master's in Technology of Clothing Products, Azerbaijan University of Technology (2000-2002) Bachelor's in Garment Technology and Construction, Azerbaijan University of Technology (1996-2000) His research centers on optimizing garment production through textile engineering innovations, with emphasis on bias tape efficiency, fabric waste reduction, and bonding technologies. He develops specialized software solutions for ready-made clothing industry challenges while advancing textile machinery design and sustainable manufacturing practices. Analysis of his 32 publications reveals a consistent focus on practical industrial applications, particularly software-driven efficiency improvements in cutting rooms and bias tape management. His work increasingly integrates mechanical engineering principles with fashion technology to solve production bottlenecks. Scientific Awards: Ispartek 2012 Proje Pazarı - Dalga Enerji Sistemi (2012) ARSOY has secured three research projects as principal investigator for software development initiatives targeting bias tape optimization (2021-2023, 2024-2025) and co-investigated adhesive technology development (2012-2014). Though actively teaching 40+ courses including Technical Drawing and Garment Design, he has no thesis advisees. His collaborative network spans 8 researchers including Gabil Abdulla (16 joint works) and İbrahim Üçgül (8 publications), reflecting strong interdisciplinary partnerships in textile engineering.

Aykut GÜVENمشاهده پروفایل

استادیار

• Cybersecurity
• Biometrics
• Database Systems
• +۴ مورد دیگر

Aykut GÜVEN is an Assistant Professor at Istanbul Beykent University , Faculty of Engineering and Architecture, Department of Computer Engineering. He has held academic positions at multiple institutions, including Sabancı University, Doğuş University, and Marmara University. Current Affiliation: Istanbul Beykent University, Faculty of Engineering and Architecture, Computer Engineering Department Previous Affiliations: Sabancı University (Lecturer), Istanbul Sabahattin Zaim University (Doctor Lecturer), Doğuş University (Expert), Marmara University (Research Assistant) Educational background : Doctorate (2014), Doğuş University, Institute of Science Master's (2002) in Information Technologies (Non-Thesis), Gebze Institute of High Technology Licence (1993), Istanbul Technical University His research interests focus on cybersecurity , biometric authentication , and database performance . He explores keystroke and typing rhythm methods for user authorization, IoT security, and database scalability. His publication trends emphasize: Biometric security systems using keystroke and writing rhythm algorithms Comparative analysis of relational and column-based databases Cybersecurity vulnerabilities in IoT ecosystems Non-university experience includes teaching roles and technical consulting. Despite a prolific career in cybersecurity and database optimization, no scientific awards are documented in the provided text.

• Software Testing
• Model-Based Testing
• Software Product Lines
• +۷ مورد دیگر

Assoc. Prof. Tugkan Tuglular is affiliated with the Department of Computer Engineering at Izmir Institute of Technology, leading the Safety, Security and Reliability of Software Systems (S2RS2) Laboratory. His research focuses on software testing methodologies, model-based systems, and security applications across software product lines. His work spans formal methods for testing (e.g., event sequence graphs, feature modeling), blockchain-enhanced data sharing, and empirical software engineering. He has extensively studied automated test case generation, change impact analysis, and robustness measurement using Bayesian networks. Notable contributions include domain-specific languages for business applications and frameworks for incremental testing in evolving systems. Recent efforts explore federated platforms for source code quality analysis and AI-driven methods for completing graphical software models. His research integrates theoretical foundations with practical tools, emphasizing security and reliability across diverse software domains. Awards: No specific awards listed. Advising/Grants: No student advising records or grant details provided in the text. His lab (S2RS2) focuses on advancing software safety and security through rigorous testing and modeling approaches. Labs/Teams: Leads the S2RS2 Lab, which investigates software systems' reliability through advanced testing techniques and formal modeling.

Recep YILMAZمشاهده پروفایل

استاد

• Business Administration
• Cost Accounting
• ERP Systems
• +۷ مورد دیگر

Prof. Dr. Recep YILMAZ is a faculty member at the Department of Business Administration, Faculty of Business Administration, Sakarya University. His academic roles include teaching and research in cost accounting, management accounting, ERP systems, and financial information management. He holds a full-time professorship and has been actively involved in academic contributions since at least 2003. Education & Professional Background: While specific educational details are not explicitly listed, his extensive publications and project leadership indicate advanced academic credentials in business administration and related fields. Research Interests: Prof. YILMAZ focuses on cost accounting methodologies, ERP system implementations, supply chain optimization, manufacturing process control, and financial accounting standards compliance. His work integrates computer science applications (e.g., deep learning for inventory management) with traditional business disciplines. Article Trends: Recent publications emphasize predictive modeling in environmental risk management, real-time inventory systems, and ERP adoption in IFRS conversion. Earlier work includes studies on flexible manufacturing environments, fraud detection in ERP systems, and activity-based costing practices. Awards: Received the 'Eğitimde Müşemmelik Ödülü' (Excellence in Education Award) from Sakarya University in 2016. Research Projects: Led or contributed to over 20 projects, including real-time inventory models, dam occupancy predictions, and ERP system development. Grants & Mentorship: Supervised 13 doctoral and master’s theses, focusing on topics like ERP integration challenges, financial fair-play criteria in football clubs, and strategic pricing in furniture industries. He has also served on doctoral juries and academic organizing committees. Labs & Teams: Active in interdisciplinary teams developing digital systems (e.g., real-time document control, robotic sensing) and collaborating with industry partners like Arvasis Bilişim.

Ebru ALBAYRAKمشاهده پروفایل

دانشیار

• Educational Technologies
• Instructional Design
• E-Learning
• +۱۲ مورد دیگر

Ebru ALBAYRAK is an Associate Professor in the Department of Educational Sciences at the Faculty of Education, Sakarya University, Turkey. She is actively engaged in teaching, research, and academic service in the fields of educational technologies, instructional design, and teacher education. Institution: Sakarya University School: Faculty of Education Department: Department of Educational Sciences Email: ealbayrak@sakarya.edu.tr Phone: +90 (264) 295 54 54 Her research interests include educational technologies, gamification, mobile learning, flipped classrooms, computational thinking, digital citizenship, and programming instruction. She has published widely in international journals and has contributed to book chapters on teacher education and technology integration. The recent publications reflect a strong focus on innovative teaching methods in computer science and teacher education, including systematic reviews on e-learning in medical education, gamification, pair programming, and mobile learning in distance education. Her work bridges theory and practice, emphasizing evidence-based pedagogical design. Scientific Awards: Young Researcher Third Prize, ITTES 2016 She has supervised graduate students and contributed to national and international research projects, including TÜBİTAK-funded initiatives. She teaches both undergraduate and graduate courses such as Educational Technologies, Mobile Learning, Gamification, and Distance Education. She also serves on academic committees and editorial boards, demonstrating her active role in the scholarly community.

Şerif Bahtiyarمشاهده پروفایل

استاد

• Information Security and Cryptology
• Algorithms and Computation Theory
• Computer and Communication Networks
• +۲ مورد دیگر

Şerif Bahtiyar is a Professor at the Computer Engineering Department , Istanbul Technical University, specializing in Information Security, Cryptology, and Cybersecurity. His research bridges Computer Science and Financial Systems with a focus on UAV security, digital wallets, and decentralized identity systems. His scholarly contributions include 15+ publications on topics like deep reinforcement learning for UAV security (2024), GPT-based phishing detection (2024), and GANs for synthetic jamming attacks (2024). Current projects emphasize secure key management frameworks and malicious domain detection. 2025 : GenAI-Based Jamming Attacks on UAVs (IEEE Access) 2024 : Malicious DNS over HTTPS Detection and Dual-Layered Domain Detection Scientific Awards include the ITEA Innovation Award (2017) , MasterCard Best Researcher (2013) , and TUBITAK Postdoctoral Support (2012) . He has led major projects like the ADAX Cybersecurity Initiative (2013-2015) funded by the European Union.

Kübra Kalkan Çakmakçıمشاهده پروفایل

دانشیار

• Network Security
• Computer Networks
• Internet of Things
• +۵ مورد دیگر

Kübra Kalkan Çakmakçı is an Associate Professor in the Department of Computer Science at Ozyegin University's Faculty of Engineering in Istanbul, Turkey. She has been serving as faculty since 2018, following her postdoctoral research at the University of Oxford. Her academic journey includes visiting researcher positions at prestigious institutions including École Polytechnique Fédérale de Lausanne (EPFL), Microsoft Redmond, and Northeastern University during her graduate studies. Her educational background includes: PhD in Computer Engineering from Boğaziçi University (2016) MSc in Computer Science and Engineering from Sabancı University (2011) BSc in Computer Science and Engineering from Sabancı University (2009) Dr. Kalkan's research primarily focuses on network security with special emphasis on emerging technologies. Her work bridges theoretical security frameworks with practical implementations in real-world systems. She has developed innovative approaches to securing IoT ecosystems, implementing blockchain solutions for network security challenges, and creating robust defense mechanisms against DDoS attacks in software-defined networks. Her research methodology often combines cryptographic techniques with network architecture innovations to address contemporary security challenges in distributed systems. Analysis of her recent publications reveals a strong trend toward blockchain-integrated security solutions for IoT and SDN environments. Her work consistently addresses privacy preservation, trust management, and authentication challenges in decentralized systems. The research demonstrates increasing sophistication in combining multiple security paradigms to create comprehensive protection frameworks for next-generation network architectures. Her scientific achievements have been recognized with prestigious awards: IEEE Turkey PhD Thesis Award Bogazici University BAP PhD Thesis Award Dr. Kalkan has successfully supervised numerous graduate students through their academic journeys, with many continuing their careers in academia and industry. Her advising approach emphasizes both theoretical foundations and practical implementation skills. While specific grant information isn't detailed in the provided text, her extensive publication record suggests successful funding acquisition for her research initiatives. She maintains active collaborations with researchers globally, as evidenced by her diverse publication venues and visiting researcher experiences. Her research group appears to focus on network security challenges in emerging technologies, with particular attention to IoT security frameworks, blockchain applications in networking, and software-defined networking security mechanisms. The team's work demonstrates a strong practical orientation with potential real-world implementations in various network security scenarios.