Software-Defined Networking (SDN) Professors and Supervisors

Keshav Soodمشاهده پروفایل

مدرس ارشد

Deakin UniversityAustralia

Dr. Keshav Sood is a Senior Lecturer at Deakin University's School of Information Technology, where he leads research in cybersecurity, AI, and next-generation networks. His affiliations include roles as Graduate Research Coordinator and South Asia Country Coordinator. He completed his PhD at Deakin University and a post-doctoral fellowship at the University of Newcastle. Research Interests: Dr. Sood focuses on securing distributed systems, with emphasis on: Federated learning for intrusion detection in IoT/5G networks Biometric privacy in immersive technologies (VR/AR) RF fingerprinting for IoT device authentication Quantum-resistant software-defined networks Adversarial robustness in voice authentication systems His publications consistently explore AI-driven security frameworks, with recent work addressing data sparsity in IoT sensors, cross-domain IIoT authentication, and phishing mitigation using large language models. Awards: Professor of IT Award (2016) IEEE TNSE Excellent Reviewer (2023) Deakin HDR Supervision Award (2023) Course Team Award for Industry Certification Alignment (2021) Supervision & Grants: Dr. Sood currently advises 8 graduate researchers and has secured $655,313 in competitive funding. Key projects include: Smart Farming Cyber Resilience (DFAT Maitri Grant) Secure Access for Critical Infrastructure (Cyber CRC) IoT Data Integrity for Defense Systems (Australian Defence) He leads the Deakin Cyber Research and Innovation Centre, focusing on scalable security solutions for industry partners.

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ONUR POLATمشاهده پروفایل

مدرس

Bingol UniversityTurkey

Dr. Onur Polat serves as a Lecturer at Bingol University's Faculty of Engineering and Architecture, specializing in cybersecurity research with focus on Distributed Denial of Service (DDoS) attack detection in Software Defined Networking (SDN) environments. His work extends to critical applications in Vehicular Ad Hoc Networks (VANET) and SCADA systems. Research interests include: Network Security and Cybersecurity Software Defined Networking (SDN) Machine Learning for Intrusion Detection Vehicular Networks Security Industrial Control System Protection AI-driven Real-time Monitoring Analysis of his 9 journal publications (2020-2024) reveals consistent innovation in AI-powered security frameworks, with recent work emphasizing hybrid models combining convolutional networks, decision trees, and ensemble methods for VANET and SCADA environments. His research demonstrates increasing sophistication in handling 'pandemic-scale' attacks and real-time traffic monitoring. Dr. Polat maintains active research collaboration with co-authors including H. Polat and M. Türkoğlu, presenting at IEEE conferences since 2016. Prospective students should note his focus on practical security solutions for emerging network infrastructures, with opportunities to contribute to impactful cybersecurity research in transportation and industrial systems.

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Michał Pióroمشاهده پروفایل

استاد

Gdańsk University of TechnologyPoland

Michał Pióro serves as a Professor at the Department of Computer Communications within the Faculty of Electronics Telecommunications and Informatics at Gdańsk University of Technology. His office is located in Building A of the Faculty (room 149), where he actively conducts research and teaching in network engineering disciplines. His research centers on network optimization and resilience, with specialized focus on Software Defined Networking (SDN) controller placement, Free Space Optics (FSO) networks under weather disruptions, and industrial control systems for Industry 4.0. Key methodologies include min-max optimization, uncertainty set modeling, and game-theoretic approaches to address node-targeted attacks and atmospheric interference. His work bridges theoretical optimization with practical network design challenges in wireless communications. Analysis of recent publications (2021-2024) reveals consistent innovation in enhancing network robustness through mathematical optimization. His research demonstrates particular expertise in developing joint optimization frameworks for SDN controller placement and creating weather-resilient FSO network configurations using advanced uncertainty modeling. These contributions address critical gaps in maintaining network functionality during attacks and adverse environmental conditions. Scientific awards: No scientific awards were mentioned in the provided information Advising and grants: No information regarding student supervision or research grants was provided

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Artur Tomaszewskiمشاهده پروفایل

دانشیار

Gdańsk University of TechnologyPoland

Dr. Artur Tomaszewski is an Associate Professor at Gdańsk University of Technology, working in the Department of Teleinformatics within the Faculty of Electronics, Telecommunications and Informatics. His office is located in Building A, room 149. His research interests include: Computer Networking Software-Defined Networking (SDN) Wireless Communication Network Optimization 5G Networks Network Security Dr. Tomaszewski's recent research focuses on advanced networking technologies, with particular emphasis on controller placement optimization in SDN architectures, coordinated spatial reuse in Wi-Fi networks, and network function virtualization in 5G systems. His work combines theoretical optimization approaches with practical networking applications, addressing challenges in network reliability, performance, and security. His publications from 2021-2025 demonstrate a consistent research trajectory in network optimization, with increasing focus on machine learning applications in networking and next-generation Wi-Fi standards. He has contributed to both theoretical frameworks and practical implementations in the field of computer networking. Dr. Tomaszewski collaborates with researchers internationally, as evidenced by his co-authorship on publications with scholars from various institutions worldwide. Contact information: Email: artur.tomaszewski@pg.edu.pl

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Simona Halungaمشاهده پروفایل

استاد

University POLITEHNICA of BucharestRomania

Simona Halunga is a Full Professor at the National University of Science and Technology Politehnica Bucharest, Faculty of Electronics, Telecommunications and Information Technology. She leads research in the Wireless Networks and Internet of Things Laboratory, focusing on cutting-edge communication technologies and security aspects. Her research interests span a wide spectrum of modern communication technologies. She specializes in Wireless Networks, Internet of Things, 5G/6G technologies, Signal Processing, and Network Security. Her work particularly focuses on practical implementations of communication systems in challenging environments, including UAV communications, LoRaWAN networks, and secure data transmission. She has made significant contributions to understanding electromagnetic vulnerabilities, TEMPEST security, and the development of secure communication protocols for IoT applications. Her publication record shows consistent focus on emerging communication technologies, with recent work examining the integration of AI and machine learning in network management, optimization of wireless resources, and addressing security challenges in distributed systems. Her research often bridges theoretical concepts with practical implementations, as evidenced by numerous experimental studies and real-world testing campaigns. 212 publications with 44,818 reads 2,233 citations Professor Halunga has been actively involved in numerous research projects, including the EREMI project funded under ERASMUS+ KA203, which focuses on developing advanced interdisciplinary higher education curriculum for resource efficiency in manufacturing. She collaborates extensively with researchers both within her institution and internationally. Her laboratory work encompasses both theoretical research and practical implementation, with significant contributions to understanding electromagnetic vulnerabilities of various devices, development of secure communication protocols, and optimization of wireless network performance in diverse scenarios.

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Michael Scharfمشاهده پروفایل

استاد

Esslingen University of Applied SciencesGermany

Professor Michael Scharf is a faculty member at Esslingen University of Applied Sciences, where he serves as Professor for Communication Networks since September 2018. His expertise lies in communication networks, with a particular focus on TCP/IP protocols, network management, and optimization techniques. Esslingen University of Applied Sciences, School of Computer Science and Information Technology Professor for Communication Networks (2018-present) Laboratory Management of Communication Technology Laboratory Dr. Scharf's research interests span applied communication networks, with special emphasis on modern TCP/IP applications for IoT and Automotive Ethernet, as well as network management and data modeling using NETCONF/YANG frameworks. His work bridges theoretical networking concepts with practical implementations, particularly in the areas of congestion control, multipath transport, and application-layer traffic optimization. His publication portfolio demonstrates consistent contributions to networking research, with recent focus on YANG data modeling for TCP, IoT networking standards, and ALTO protocol extensions. The research trajectory shows evolution from congestion control mechanisms to modern network data modeling and IoT applications. Best presentation/demo award for 'Monitoring and Abstraction for Networked Clouds', Proc. ICIN, Oct. 2012 Chair of the TCPM working group in the IETF from 2011 to 2022 Reviewer for TCP/UDP port numbers allocation by IANA since 2022 Dr. Scharf has supervised numerous student works including Bachelor's and Master's theses, study projects, and research projects. His industry experience prior to academia included significant roles at Alcatel-Lucent Bell Labs and Nokia, where he worked on network management systems and was recognized as a Distinguished Member of Technical Staff. He leads the Communication Technology Laboratory (KTlab) at Esslingen University, which focuses on practical implementations and testing of communication network technologies, particularly in the areas of cyber-physical networks, embedded systems communication, and automotive communication networks.

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Kawashima Ryotaمشاهده پروفایل

دانشیار

Nagoya Institute of Technology (NIT)Japan

Kawashima Ryota is an Associate Professor at Chubu University in the Department of Information Engineering, Network Field. He holds a PhD in Information Science from The Graduate University for Advanced Studies (2010) and a Master's in Software Information Science from Iwate Prefectural University (2007). Prior to his academic career, he worked as an R&D Engineer at Stratosphere, Inc. and ACCESS CO., LTD. His research focuses on: High-performance cloud-native networking and NFV infrastructure optimization CPU cache efficiency and I/O parallelization in virtualized environments Transparent acceleration techniques for distributed databases and key-value stores Low-latency solutions for beyond-5G network architectures Recent publications (2020-2024) demonstrate strong emphasis on: Optimizing cloud-native network functions for terabit-class throughput Reducing virtualization overhead through hardware-aware resource allocation Developing proxy-based acceleration layers for NewSQL and distributed KVS Addressing latency/jitter challenges in next-generation networks Awards & Honors: IEEE FNWF'24 Best Paper Award (2024) IEICE ICM Research Award (2023) IEEE NFV-SDN Best Paper Award (2018) IEICE Communications Society Best Paper Award (2017) Research Leadership: Secured competitive grants including JSPS Kakenhi (¥16.9M direct funding) for terabit-class cloud networking research. Mentored award-winning students including IEEE Nagoya Section Excellent Student Award recipient Yuki Taguchi. Active in industry collaborations with Bosco Technologies on NFV efficiency.

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