جست‌وجوی استاد و پژوهشگر

• Cloud Computing
• Educational Technology
• Computer Networks
• +۴ مورد دیگر

Sławomir Zieliński is a Lecturer at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków. His academic role involves teaching and research focused on cloud technologies and educational informatics. He maintains an office at D-17, ul. Kawiory 21, and can be contacted via email at slawek@agh.edu.pl or phone at +48 12 328 33 77. Zieliński's research explores intersections between cloud computing and educational technology, particularly: Cloud-native applications and serverless architectures for environmental monitoring Automated orchestration of educational services in cloud environments IoT-enhanced collaborative learning platforms Software-defined networking optimizations Remote teaching methodologies and pandemic-responsive education systems Performance evaluation frameworks for distributed systems His work demonstrates consistent innovation in adapting cloud infrastructure to educational challenges. Recent publications (2015-2024) reveal strong thematic focus on cloud-based educational technologies, distributed systems optimization, and pandemic-era teaching solutions. Dominant research threads include: Cloud infrastructure for remote education (6+ publications) Performance evaluation methodologies for networks and cloud services (4 publications) IoT integration in educational ecosystems (3 publications) Serverless computing applications in environmental systems

• Wireless Communication
• Quantum Communication
• Robotics and Mechatronics Systems
• +۱۱ مورد دیگر

Professor TUĞRUL ÇAVDAR is a distinguished academic at Karadeniz Technical University's Faculty of Engineering, Department of Computer Engineering, where he has served as a full Professor since 2024. Previously, he held positions as Associate Professor (2018-2024), Assistant Professor (2007-2018), and Lecturer (2005-2007). He also served as a visiting Assistant Professor at Northeastern University's Electrical & Computer Engineering department from 2012-2013. Currently, he serves as Head of Department at Karadeniz Technical University since 2010, and as Erasmus Program Institutional Coordinator since 2013. Dr. Çavdar completed his Doctorate (1997-2003), Postgraduate (1994-1997), and Undergraduate (1990-1994) studies all in Electronic Engineering at Karadeniz Technical University. His research spans multiple cutting-edge domains including Wireless Communication, Quantum Communication, Robotics and Mechatronics Systems, Humanoid Robots, Quantum Cryptography, Computer Networks, and Artificial Intelligence applications. His work bridges theoretical foundations with practical implementations in next-generation communication systems. His publication portfolio demonstrates a clear progression from traditional communication systems toward quantum and AI-enhanced networking solutions. Early works focused on wireless communication algorithms and robotics, while his recent publications emphasize quantum communication, machine learning applications in networking, and IoT security. His research shows strong interdisciplinary connections between computer engineering, quantum mechanics, and artificial intelligence. 170 H-Index (WoS) 351 H-Index (Scopus) 496 H-Index (Scholar) 3 H-Index (TrDizin) 4 H-Index (Sobiad) Professor Çavdar has supervised 11 theses including 5 doctoral and 6 master's students. He has secured numerous research grants from TÜBİTAK and other funding bodies, with recent projects focusing on quantum communication, AI optimization in composite materials, and autonomous systems. He serves as Editor for the Turkish Journal of Electrical Engineering & Computer Sciences and has been actively involved in reviewing for multiple international journals. His leadership extends to serving on assistant professorship appointment committees for various Turkish universities.

• Computer Networks
• Internet of Things (IoT)
• Network Security
• +۴ مورد دیگر

Markus Hidell is an Associate Professor at the Royal Institute of Technology (KTH) , specializing in computer networks, IoT systems, and network security. His teaching includes courses like Advanced Internet Technology and Security and Data Privacy on the Internet , where he serves as examiner or teacher. Research Focus : IoT architectures, energy-efficient networking, and security in distributed systems. Recent Publications : Investigate IoT scalability, buffer management algorithms, SDN security, and LTE vulnerabilities. Key Technical Areas : Network virtualization, delay-tolerant systems, and smart city infrastructure.

• Computer Systems
• Network Applications
• Protocols
• +۳ مورد دیگر

Voravit Tanyingyong is a Lecturer at Kungliga Tekniska Högskolan (KTH Royal Institute of Technology) working in the Division of Communication Systems within the School of Electrical Engineering and Computer Science. He has been working at KTH since 2003, demonstrating a long-standing commitment to the institution. His contact information includes telephone number +46 8 790 42 08 and email voravit@kth.se, with his office located at Malvinas Väg 10. Dr. Tanyingyong received his PhD in Information and Communication Technology from KTH in 2021, with his doctoral thesis titled "Performance, Availability, and Scalability in Open Networking Platforms for Internet Services." Prior to that, he completed his Licentiate thesis at KTH in 2014 titled "Performance and Reliability in Open Router Platforms for Software-Defined Networking," establishing a strong foundation in networking research. Dr. Tanyingyong's research interests span computer systems, network applications, protocols, architectures, and the Internet of Things (IoT). His work demonstrates a consistent focus on practical implementations of networking technologies with applications in various domains including environmental monitoring, healthcare, and smart grids. His research bridges theoretical networking concepts with real-world implementations, particularly in the area of IoT systems where he has developed testbeds for air quality monitoring and smart grid applications. A significant portion of his work addresses performance, reliability, and scalability challenges in modern networking environments. Analysis of Dr. Tanyingyong's publication history reveals a clear evolution in his research focus. Early work centered on router/server performance and OpenFlow switching, reflecting the emergence of Software-Defined Networking. More recently, his research has shifted toward IoT applications, with publications on scalable IoT sensing systems, air quality monitoring, and IoT for smart DC grids. His work consistently addresses practical implementation challenges while maintaining theoretical rigor, with a particular emphasis on system performance, reliability, and scalability. The interdisciplinary nature of his research connects computer networking with environmental science, healthcare, and energy systems. Advanced Internetworking (IK2215) - Teacher Internet of Things (IK1332) - Teacher Networks and Communication (IK1203) - Teacher Ethics and Sustainable Development for Engineers (II2210) - Course Responsible Projects and Project Methods (II1302) - Course Responsible Multiple degree projects as examiner across Computer Engineering, Computer Science and Electrical Engineering specializations Dr. Tanyingyong has established himself as a dedicated educator who bridges theoretical networking concepts with practical implementations. His teaching portfolio reflects his research expertise while covering essential networking fundamentals and emerging IoT technologies. As course responsible for Ethics and Sustainable Development for Engineers, he demonstrates commitment to broader engineering principles beyond technical skills.

C. (Chrysa) Papagianniمشاهده پروفایل

استادیار

• Network Softwarization
• Software-Defined Networking
• Network Slicing
• +۷ مورد دیگر

Dr. C. (Chrysa) Papagianni is an Assistant Professor at the Informatics Institute within the Faculty of Science, Mathematics and Computer Science at the University of Amsterdam . She holds a Ph.D. in Electrical and Computer Engineering from the National Technical University of Athens and has held academic and research positions at institutions including the University of Maryland, Hellenic Open University, and Nokia Bell Labs (Belgium). Ph.D., Electrical and Computer Engineering, NTUA (2009) M.Sc., Information Systems (2017-2019), Hellenic Open University Her research focuses on network softwarization , SDN , network slicing , and AI/ML-driven network intelligence for next-generation networks. Recent work explores machine learning for resource allocation , programmable data planes , and intent-based networking . Her publications span journals like IEEE Transactions on Network and Service Management and conferences including IEEE ICC and IEEE CoNEXT . Key projects include NSF FABRIC , H2020 FED4FIRE+ , and 5Growth platform development. She contributes to technical standards in edge computing and cloud-native networks via 5GPPP white papers.

• Telematics Engineering
• SDN (Software-Defined Networking)
• Mobile Networks
• +۳ مورد دیگر

Pablo Fondo Ferreiro is a Postdoctoral Researcher at the University of Vigo , affiliated with the School of Telecommunications Engineering and the Department of Telematics Engineering . He works within the TC1 Information Technology Group at the Research Center for Telecommunication Technologies in Vigo Campus. PhD in Telematics Engineering from University of Vigo (2022) Thesis: "SDN Architecture for Creating Simple and Flexible Cellular and Mobile Networks" Advisor: Dr. Felipe Gil Castiñeira His research focuses on software-defined networking, mobile network architecture, and telecommunications technologies.

Mallikarjun Tatipamulaمشاهده پروفایل

استاد

• 5G
• Distributed Cloud Computing
• Edge Computing
• +۵ مورد دیگر

Dr. Mallikarjun Tatipamula is a distinguished academic professional currently serving as a Professor. His work spans cutting-edge technological domains at the intersection of telecommunications, cloud computing, and artificial intelligence. Research Focus: 5G networking and distributed systems Technical Expertise: Edge computing, SDN/NFV architectures Technological Innovation: AI/ML integration in IoT and network infrastructure

Elisa Bertinoمشاهده پروفایل

استاد

• Information Security
• Database Systems
• Privacy and Access Control
• +۶ مورد دیگر

Elisa Bertino is the Samuel D. Conte Professor of Computer Science at Purdue University, where she also directs the Purdue Cyberspace Security Lab (Cyber2Slab) and serves as Research Director at CERIAS. Since joining Purdue in January 2004, her work has integrated rigorous theory with practical solutions across information security, database systems, and emerging cyber-physical domains. Education Ph.D. in Computer Science, University of Pisa (1980) Research Interests Professor Bertino’s research portfolio is exceptionally broad, spanning information security and assurance , database and data mining technologies , and AI-driven cybersecurity . She pursues foundational advances in access-control models (RBAC, ABAC, trust negotiation), secure data publishing and broadcast protocols for XML and streaming data, privacy-preserving analytics through differential privacy and secure multi-party computation, and zero-trust architectures for 5G/6G and software-defined networks. Application domains include secure mobile and IoT ecosystems, medical informatics, and humanities data. Recent Publication Trends Her 2024–2025 publications reveal a strategic pivot toward next-generation network security (5G/6G, SDN/NFV), trustworthy AI (federated learning, transformer-based malware analysis), and privacy technologies (differential privacy, homomorphic encryption). A recurring theme is the rigorous integration of AI techniques with cryptographic and systems-level defenses to achieve scalable, privacy-preserving security solutions. Scientific Awards & Honors IEEE Fellow ACM Fellow IEEE Computer Society Technical Achievement Award (2002) IEEE Tsutomu Kanai Award (2005) ACM Athena Lecturer Award (2019) Kristian Beckman Award (2020) IEEE 2021 Innovation in Societal Infrastructure Award Advising & Grants Professor Bertino has mentored a large cohort of doctoral students and post-doctoral researchers. Recent externally funded projects include NSF “Privacy-Enhanced Secure Data Provenance” (2011-2016), NIST “Advancing Commercial Participation in the NSTIC Ecosystem” (2012-2013), and Sypris Electronics “Security Techniques for Smart Mobile Devices” (2012). Laboratories & Teams She leads the Cyber2Slab (Cyber Space Security Lab), a vibrant research group investigating insider-threat mitigation, IoT and drone security, digital identity management, cloud data protection, and AI-assisted defense mechanisms. The lab collaborates extensively with federal agencies, industry partners, and international research consortia such as the Data Analytics and Information Science International Technology Alliance (DAIS ITA).

• Deep Learning
• Internet of Things (IoT) Security
• Software Defined Networking (SDN)
• +۴ مورد دیگر

Adnan Akhunzada is a prolific researcher with extensive contributions to computer science, particularly in artificial intelligence, cybersecurity, and internet of things. His work spans deep learning architectures, software defined networks, and security frameworks for emerging technologies. Research Interests include: Deep learning for micro-expression and image analysis Quantum control systems with reinforcement learning AI-based phishing and malware detection Federated learning for drone services Cryptographic protocols for UAV communications Publication Trends show expertise in: Hybrid neural network architectures Cybersecurity for industrial IoT Privacy-preserving crowdsourcing Sign language recognition datasets 5G-assisted cognitive communication

Xinyu Fengمشاهده پروفایل

استاد

• Programming Languages
• Formal Methods
• Concurrency Theory
• +۳ مورد دیگر

Xinyu Feng is a Professor at the Department of Computer Science and Technology , Nanjing University , and collaborates with Huawei . His work focuses on programming languages and formal methods , particularly concurrent system software verification , separation logic , and certified compilation . His research has produced influential contributions in verifying low-level system software with hardware interrupts, preemptive threads, and concurrent data structures. Notable publications include work on progress guarantees for concurrent objects modular verification of synchronization primitives parameterized memory models . In professional activities, he has served on program committees for major conferences like PLDI'21 , POPL'18 , and CAV'16 . He received a Distinguished Paper Award at PLDI'19 .

Rodrigo Fonsecaمشاهده پروفایل

دانشیار

• distributed systems
• networking
• operating systems
• +۵ مورد دیگر

Rodrigo Fonseca is an Associate Professor with Tenure in the Computer Science Department at Brown University's School of Engineering. He received his PhD from UC Berkeley in 2008 under Ion Stoica, focusing on execution tracing for distributed systems. His educational background includes a PhD in Computer Science from UC Berkeley (2008). Fonseca's research focuses on distributed systems, networking, and operating systems, with particular interest in understanding complex system behavior. His work spans distributed tracing and debugging (X-Trace, Pivot Tracing), network management in datacenters (2DFQ, Planck), power management in mobile systems (Quanto, Application Modes), and software-defined networking (Participatory Networking, Simon). His research integrates theoretical insights with practical implementations that have influenced both academic and industrial systems. His publication record shows a strong focus on distributed system instrumentation, with recurring themes of causal tracing, resource management, and network monitoring. The most recent publications demonstrate continued innovation in data-aware indexing structures, in-network packet analysis, and context propagation techniques for distributed systems. Fonseca has received significant recognition including an NSDI Test of Time Award for X-Trace, an NSF CAREER Award, and a Best Paper Award at SOSP for Pivot Tracing. His work has been consistently published in top-tier venues including SIGCOMM, NSDI, SOSP, and OSDI. He has mentored numerous graduate students, with five PhD graduates as of 2019 who have gone on to positions at Google, Microsoft, Apple, and MPI-SWS. His research has been supported by funding from the National Science Foundation, Google, Intel, and Microsoft Research, where he also spent visiting periods. He is actively involved in the research community, having served on program committees for major conferences and co-organizing workshops including HotCloud and the New England Networking and Systems Day. In 2019-2020, he served as PC co-chair for HotNets and General Chair for SoCC'2020.

• Cybersecurity
• Software-Defined Networking
• Power Systems
• +۳ مورد دیگر

Hellen Maziku serves as an Assistant Professor at Tennessee State University and is recognized as a former researcher at CREDC (Center for Resilient Electric Energy Delivery Systems or equivalent research center). Her research expertise spans critical domains including: Cybersecurity for critical infrastructure Software-Defined Networking (SDN) applications Power system resilience and security modeling Robust Networked Control Systems for Electric Distribution Systems (EDS) She has led significant investigations into security risk modeling for EDS using SDN architectures, with specific contributions to evaluating multi-controller security in SDN environments and developing resilience frameworks for IEC 61850-based substation communication protocols. Her work demonstrates strong interdisciplinary integration of network security principles with power grid operational requirements.

Mamatas Eleftheriosمشاهده پروفایل

دانشیار

• Wireless and Mobile Networks
• Quality of Service
• Network Management
• +۴ مورد دیگر

Mamatas Eleftherios serves as an Associate Professor in the Department of Applied Informatics at the University of Macedonia, specializing in next-generation wireless networking research and education. His academic credentials include a Diploma in Electrical and Computer Engineering (2003) and PhD in Computer Networks (2008), both from Democritus University of Thrace, Greece. Research focuses on critical networking challenges: Wireless/Mobile Networks infrastructure Quality of Service optimization Software-Defined Networking (SDN) architectures Energy-efficient communication protocols Stochastic modeling for network performance His publication portfolio comprises 8 books, 37 journal articles, and 59 conference papers reflecting deep technical engagement. Teaching responsibilities include BUSINESS DATA COMMUNICATIONS (ISC501), COMPUTER SYSTEMS (AIC105), and advanced topics in network performance analysis. No scientific awards or grant information appears in the provided documentation.

Panagiotis Papadimitriouمشاهده پروفایل

دانشیار

• Software-Defined Networking
• Network Function Virtualization
• Cloud Networking
• +۶ مورد دیگر

Panagiotis Papadimitriou serves as an Associate Professor at the Department of Applied Informatics, University of Macedonia in Thessaloniki, where he leads the NetCloud research group. Previously, he held positions as Assistant Professor at Leibniz University Hanover's Institute of Communications Technology and as a Post-Doctoral Researcher at Lancaster University (UK) and Telecom SudParis (France), with additional research experience at the University of Cambridge. His research spans Internet architectures and technologies with emphasis on Network Function Virtualization (NFV), Software-Defined Networking (SDN), Time-Sensitive Networking (TSN), Internet-of-Things (IoT), and Edge Computing. His work includes ML-assisted NFV orchestration (SFC-graph embedding, transformation, and multi-domain partitioning), network slicing orchestration, programmable dataplanes with P4, deterministic networks, datacenter network fabrics, and edge computing. Notable research outcomes include distributed network processing architectures (MIDAS, DistNSE), multi-provider service mapping mechanisms (Nestor), open-source NFV orchestration platforms (TeNOR), and orchestration platforms for cross-slice communication (MESON). His recent publications show a strong focus on In-Band Network Telemetry, Service Function Chain optimization, Time-Sensitive Networking implementations, and cross-slice communication systems, demonstrating his leadership in network virtualization and edge computing research areas. His work consistently addresses practical implementation challenges while advancing theoretical foundations in network management. Scientific Recognition: Senior Member of IEEE Associate Editor of IEEE Transactions on Network and Service Management Counselor of the IEEE Student Branch at University of Macedonia As Principal Investigator of the Horizon Europe NEPHELE project and previous EU-funded projects (NECOS, T-NOVA, CONFINE), he has secured over 1M euro in research funding. He actively contributes to the academic community through conference organization roles including IEEE ICC NGNI 2025, IEEE ICIN 2024, and IFIP/IEEE CNSM 2022 as General Co-Chair. The NetCloud research group he leads maintains a dedicated edge computing facility used for both research and teaching, and is known for its commitment to open-source software and community service through academic network resources. His educational background includes a Ph.D. in Electrical and Computer Engineering from Democritus University of Thrace (2008), an M.Sc. in Information Technology from University of Nottingham (2001), and a B.Sc. in Computer Science from University of Crete (2000).

• Vehicular Networks
• Data Analytics
• Wireless Communication
• +۵ مورد دیگر

Dr. G. G. Md. Nawaz Ali is an Assistant Professor in the Department of Computer Science & Information Systems at Bradley University's College of Liberal Arts & Sciences, where he has taught since Fall 2021. His academic journey includes previous positions as Assistant Professor at the University of Charleston and postdoctoral fellowships at Clemson University and Nanyang Technological University in Singapore. Education Ph.D. in Computer Science, City University of Hong Kong B.Sc. in Computer Science and Engineering, Khulna University of Engineering & Technology Research Focus Dr. Ali's research addresses critical challenges in intelligent transportation systems through work in: Vehicle-to-everything (V2X) communication architectures Software-defined vehicular networks (SDN-VANET) Real-time data broadcasting and scheduling Network coding optimization Multimodal sentiment analytics Mobile computing frameworks Awards & Recognition IDETC/CIE 2019 Best Paper Award IARIA ICCGI 2014 Best Paper Award ATNAC 2011 Student Travel Grant City University of Hong Kong Outstanding Academic Performance Award (2013) Academic Service As an active IEEE member, Dr. Ali contributes to the academic community through editorial review and technical program committees for premier conferences and journals in vehicular networking and intelligent systems.