جست‌وجوی استاد و پژوهشگر

• Distributed Systems
• Computer Networks
• Peer-to-peer Algorithms
• +۶ مورد دیگر

Öznur Özkasap is a Professor in the Department of Computer Engineering at Koc University's Graduate School of Sciences and Engineering. She serves as Head of Department and has research interests spanning distributed systems, computer networks, and energy-efficient networking protocols. Her work integrates artificial intelligence into distributed computing frameworks and explores security in peer-to-peer systems. Education: PhD (2000), MSc (1994), and BS (1992) from Ege University Research Areas: Distributed Systems, Cloud/Edge Computing, Network Security, and AI applications in distributed environments Her recent publications focus on blockchain-assisted distributed systems, federated learning optimization, and energy-efficient frameworks for software-defined networks. She explores multi-objective load balancing, decentralized energy trading, and secure P2P architectures. Key trends include cross-disciplinary applications of distributed computing in healthcare and energy systems. Professor Özkasap contributes to advancing edge computing, IoT-based sensor systems, and privacy-preserving mechanisms in decentralized environments. Her work addresses challenges in reliable network protocols, microgrid energy sharing, and security vulnerabilities in autonomous systems.

• Hybrid Control Systems
• Hierarchical Control Systems
• Distributed Consensus-Based Control
• +۳ مورد دیگر

Jörg Raisch is a Professor of Control Systems at the Technische Universität Berlin since March 2006. He previously held positions at Otto-von-Guericke University Magdeburg and the Max Planck Institute for Dynamics of Complex Technical Systems. His research focuses on hybrid and hierarchical control systems , distributed consensus-based control , and control of time-dependent event-discrete systems using tropical algebras. Alma Mater: University of Stuttgart (Technical Cybernetics), UMIST Manchester (Control Systems) Postdoctoral work: University of Toronto (Systems Control Group) His work spans applications in process technology , medical systems , and energy technology . Recent publications emphasize max-plus algebra , P-time event graphs , and over-the-air consensus in clustered networks. He has served on editorial boards of journals like Automatica and Discrete Event Dynamic Systems , and led the IFAC Technical Committee TC1.3 on Discrete Event and Hybrid Systems from 2017-2020. Awards: DFG fellowship for habilitation

• 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.

Farzad Hashemzadehمشاهده پروفایل

دانشیار

• Control Theory
• Multi-Agent Systems
• Networked Control Systems
• +۳ مورد دیگر

Assoc. Prof. Dr. Farzad Hashemzadeh is an academic faculty member at Istanbul Technical University's Faculty of Electrical and Electronics Engineering, Department of Control and Automation Engineering. With a PhD from Tabriz University (2008-2012), he has served on the university's Faculty Council (2019) and currently leads research projects in control theory and robotics. Educational Background: PhD in Electrical Engineering from Tabriz University Administrative Role: Member of Faculty Council (2019) His research focuses on Control Theory with applications in Multi-Agent Systems , Networked Control Systems , Adaptive Control , and Power Electronics . Recent projects include hybrid control for electric vehicle power supplies and distributed control algorithms for multi-agent systems. Scientific activity shows consistent publication output since 2006, with 85 research outputs and 1 active project (2024-2026) on bidirectional DC-DC switching power supplies. Scopus h-index is 16 with 1603 citations. Professional contributions include innovative work in networked control systems stability analysis, aerial transportation demand modeling, and observer-based predictive control. He supervises research projects and has developed patents related to driver fatigue detection systems and quadcopter movement testing equipment.

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.

• 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-).

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.

Serap Şahinمشاهده پروفایل

استادیار

• Cybersecurity
• Information Systems Security
• Cryptology
• +۵ مورد دیگر

Serap Şahin is an Assistant Professor in the Computer Engineering Department at Izmir Institute of Technology. She holds a B.S. (1987), M.Sc. (1989), and Ph.D. (2006) in Computer Engineering from Ege University. Her academic career began in 2002 after working at Arkas Holding as an Information Systems Coordinator, where she managed transportation and logistics systems. She completed a postdoctoral fellowship at the European Commission’s Joint Research Center (2010) focusing on Next Generation Network Security, supported by TUBITAK. Her research interests span cybersecurity, information systems security, cryptology, and cloud computing security. Notable contributions include studies on social network privacy, blockchain applications, forensic data analysis, and homomorphic encryption systems like EDU-VOTING. She has published widely in journals such as the International Journal of Information Security Science and Turkish Journal of Electrical Engineering and Computer Sciences. Key achievements include a TUBITAK Postdoctoral Fellowship (2010) and leadership in projects like “Homomorphic Cryptosystem Based Electronic Election System Solution” funded by BAP. Her work bridges theoretical cryptography with practical applications in secure communication, data privacy, and network security.

• Dynamical Systems
• Delay Differential Equations
• Complex Systems
• +۷ مورد دیگر

Fatihcan Atay is a Professor of Mathematics at Bilkent University's Department of Mathematics. He previously held a position at the Max Planck Institute for Mathematics in the Sciences in Leipzig. His research focuses on dynamical systems, delay differential equations, and complex networks, with applications to traffic flow modeling, epidemiology, and neural systems. He has contributed to theoretical frameworks analyzing synchronization, stability, and bifurcations in systems with time delays. His work bridges pure and applied mathematics, addressing challenges in engineering, neuroscience, and social systems. Key research themes include: Stability analysis of traffic flow models with discrete/distributed delays Synchronization dynamics in anticipatory agent networks Mathematical modeling of infectious disease transmission Spectral clustering and structural balance in signed graphs Notable contributions include frameworks for analyzing delay-induced phenomena in coupled systems, stability criteria for time-delay networks, and applications of graph theory to complex systems. His research has been published in leading journals across mathematics, physics, and engineering disciplines.

Ünal ÇAVUŞOĞLUمشاهده پروفایل

دانشیار

• Cybersecurity
• Network Security
• Intrusion Detection Systems
• +۶ مورد دیگر

Prof. Dr. Ünal Çavuşoğlu is an Associate Professor at the Department of Software Engineering, Faculty of Computer and Information Sciences, Sakarya University. With a doctorate in chaos-based encryption algorithms (2016) and a master's degree comparing network simulation tools (2014), his research focuses on cybersecurity, machine learning, and chaos theory. He has contributed extensively to intrusion detection systems, IoT security, and cryptographic protocols. Education: Doctorate (2016), Master's (2014), and Bachelor's (2011) in Computer Engineering. Research Interests: Cybersecurity frameworks, machine learning adaptation for threat detection, chaotic encryption, and IoT communication protocols. Recent Work: 2025 publications on homomorphic encryption and LSTM-based intrusion detection demonstrate cutting-edge applications of deep learning in security domains. His 2019-2024 publications reveal a trajectory from foundational chaos theory to applied IoT and cloud security solutions. Key methodologies include genetic algorithms, fractional calculus, and hybrid encryption systems.