David M Johnson is a Researcher and Software Engineer at the School of Computing, University of Utah, specializing in cloud infrastructure, wireless systems, and network security. He designs and builds software for large-scale testbeds like CloudLab, CapNet, and POWDER, focusing on low-level system interactions and secure network architectures. Research Interests: His work spans computer systems virtualization security forensics software-defined networking (SDN) capability-based network design mobile sensor networks and emphasizes least-privilege principles and end-to-end containment in cloud and wireless environments. Publication Trends: Recent articles highlight his contributions to radio dynamic zones open RAN (Radio Access Network) slicing spectrum sharing secure network capabilities testbed automation kernel-level debugging with a strong focus on open-source tool development for wireless and cloud research. Scientific Recognition: He received the 2024 IEEE DySPAN Award Paper for his work on POWDER-RDZ. Collaborative Efforts: Johnson has worked extensively with teams on projects like A3 (attack diagnosis), Stackdb (stackable debugging), and SeaCat (secure application containment), often bridging systems software with security and network innovations.
Piet Demeester is a distinguished researcher in the Department of Information Technology at Ghent University (Universiteit Gent) in Belgium. With a continuous publication record from 1994 through 2024, he has established himself as a leading expert in optical communications, wireless networking, and network virtualization technologies. His work bridges the gap between fundamental research and practical implementation in next-generation communication systems. Dr. Demeester's research spans several critical areas in modern telecommunications: Advanced optical communication systems and radio-over-fiber technologies 5G/6G wireless networks and massive MIMO implementations Network function virtualization and software-defined networking Millimeter wave and terahertz communication systems Network management and performance optimization His recent publications demonstrate a strong focus on integrating optical and wireless technologies to address capacity challenges in next-generation networks. The research shows particular emphasis on sigma-delta modulation techniques, distributed antenna systems, and realistic human exposure modeling for emerging wireless technologies. His work consistently appears in top-tier journals including IEEE Communications Magazine, IEEE Access, and IEEE Journal on Selected Areas in Communications. Dr. Demeester maintains extensive collaborations within Ghent University and with international partners, frequently working with researchers such as Filip De Turck, Bart Dhoedt, Mario Pickavet, and Didier Colle. These collaborations have resulted in numerous high-impact publications addressing critical challenges in telecommunications infrastructure.
K. Chilukuri is a researcher in the fields of Computer Science and Engineering, with a focus on Cognitive Radio Networks, Wireless Sensor Networks, and Software-Defined Networking. Their work also extends to Engineering Education, particularly in developing frameworks for online learning. Key research interests include: Reinforcement Learning for network optimization Controller placement in software-defined networks Security mechanisms in cognitive radio systems Active learning pedagogies mapped to course outcomes Recent publications (2024-2025) highlight advancements in: Proximal Policy Optimization for channel allocation Energy-efficient routing in wireless sensor networks Scalable controller placement with balancing constraints Earlier work (2015-2018) includes contributions to: Online education paradigms (PPP: Prepare, Present, Publish) Swallowing physiology analysis post-intubation Provider mobility challenges in content-centric networks
Francine Krief is a Professor with extensive research in network management , QoS optimization , and context-aware security across cognitive radio networks, IoT, and vehicular systems. Her work integrates blockchain and fuzzy logic for secure, efficient resource allocation. Key Research Areas : Network Security, Cognitive Radio, IoT, Edge Computing Collaborations : Active partnerships with researchers like Mohamed Aymen Chalouf, Badr Benmammar, and Tidiane Sylla Publication Trends : Over the past decade, Krief has focused on blockchain applications in IoT security (2021), energy-efficient cognitive radio (2019), and SDN-based vehicular networks (2019). Recent work (2025) addresses user-centric IoT service placement in edge infrastructures.
Rafael Marin-Lopez is a full-time Lecturer in the Department of Information and Communications Engineering at the University of Murcia, Spain. He earned his B.E., M.E., and Ph.D. in Computer Science from the University of Murcia in 1998, 2000, and 2008, respectively, and completed a pre-doctoral internship at Toshiba America Research (2005-2006). His research focuses on Authentication, Authorization, Access Control, and Key Distribution across mobile networks , Intelligent Transport Systems (ITS) , and Internet of Things (IoT) . He actively contributes to standardization, co-authoring RFC 5193 , RFC 5609 , RFC 5637 , and the IEEE 802.21a standard. His recent publications analyze trends in IoT bootstrapping (e.g., CoAP-based solutions), cloud SSO for federated access, secure handover protocols in mobile networks, and privacy frameworks for Kerberos. He has advised Dan Garcia-Carrillo on IoT bootstrapping research and participated in European/national projects, including software-defined networking (SDN) and network function virtualization (NFV) security. Contact: rafa@um.es , Facultad de Informática, Campus de Espinardo, Murcia, Spain.
Jean Pierre David is a Full Professor in the Department of Electrical Engineering at Polytechnique Montréal. He has been with the institution since January 2006, was promoted to Associate Professor in June 2013, and became a Full Professor in June 2021. His research focuses on digital systems design, reconfigurable systems, and hardware implementations of artificial intelligence applications. David received his Electrical Engineering degree (specializing in electronics) from the University of Liège (Belgium) in 1995. He completed his Ph.D. in June 2002 at the Catholic University of Louvain, with research focused on reconfigurable systems (FPGAs). Before joining Polytechnique Montréal, he was a professor at the University of Montreal from August 2002 to January 2006. Jean Pierre David's research spans several key areas in electrical engineering and computer science. His primary focus is on digital systems design, configuration, and programming, with particular expertise in reconfigurable systems such as FPGAs and microcontrollers. He has made significant contributions to Hardware Description Languages (HDL), developing methodologies for fast, safe, and simple design of digital architectures. His work extends to Hardware-in-the-Loop (HIL) simulation, Deep Packet Inspection (DPI) for high-speed communications (10GBE, 40GBE, 100GBE), and applications of digital systems in artificial intelligence, particularly neural network implementations. David's recent research has increasingly focused on energy-efficient AI hardware, RISC-V processor design for neural network acceleration, and specialized architectures for low-precision computation. His publication record shows a clear evolution from foundational work in digital system design and FPGA implementation toward increasingly sophisticated applications in artificial intelligence and neural network acceleration. The most recent publications demonstrate expertise in creating specialized hardware for efficient AI computation, with a strong emphasis on low-precision and binary neural networks that can run efficiently on resource-constrained devices. His work bridges computer architecture, electrical engineering, and artificial intelligence, creating practical hardware solutions for emerging computational challenges. David is affiliated with several important research groups and institutions including the Strategic Microsystems Group of Quebec (ReSMiQ), the Institute of Electrical and Electronics Engineers (IEEE), and the Institute for Data Valorization (IVADO). His work has been recognized through numerous publications in high-impact journals and conferences, with a total of 108 publications to his name. Professor David has supervised an impressive number of graduate students throughout his career, mentoring 9 Ph.D. students and 24 Master's students to completion. His students have worked on diverse topics including FPGA-based neural network acceleration, hardware implementations of deep learning algorithms, energy harvesting systems for IoT devices, and specialized architectures for low-precision computation. His lab appears to maintain strong connections with industry through various research projects and collaborations with researchers like Yves Savaria. His research laboratory focuses on the intersection of hardware design and artificial intelligence, with particular emphasis on creating efficient implementations of neural networks on specialized hardware platforms. The lab maintains strong connections with industry partners and collaborates extensively on projects related to network processing, AI acceleration, and energy-efficient computing systems.
Fernando Ramos is an Associate Professor at the Higher Technical Institute (University of Lisbon) in the Department of Computer Engineering . His work focuses on Software-Defined Networking (SDN) , Network Security , and Machine Learning applications in networking . Teaches courses: Master's Dissertation in Telecommunications and Computer Engineering Introduction to Computer Architecture Computer Organization Advanced Topics in Networks and Distributed Systems Ramos is actively involved in research on malicious traffic detection , network virtualization , and fault-tolerant systems . Recent projects include Peregrine (ML-based security) and FlowLens (efficient traffic classification). His publications highlight trends in programmable data planes , multi-cloud security , and energy-efficient networking , with notable work on Random Linear Network Coding and Secure Network Monitoring .
Reha Civanlar serves as Vice Rector and Founding Dean of the Faculty of Engineering at Ozyegin University, Istanbul, following a distinguished career spanning AT&T Labs-Research, Bell Labs, and DOCOMO USA Labs where he was Executive Vice President (2006-2008). His academic leadership extends to prior roles as Visiting Professor at Koc University (2002-2006) and research department head at major telecommunications laboratories. His educational foundation includes: PhD in Electrical & Electronics Engineering, North Carolina State University (1984) MS in Electrical & Electronics Engineering, METU (1981) BS in Electrical & Electronics Engineering, METU (1976) Dr. Civanlar's research focuses on computer networking and multimedia communications , with pioneering contributions to video compression, wireless systems, and Internet-based multimedia delivery. His work bridges theoretical innovation and practical implementation, particularly in scalable video coding and real-time communication systems. Analysis of his 2015-2021 publications reveals sustained leadership in video conferencing technologies, noise reduction algorithms, and software-defined networking for wireless systems. Key thematic threads include content-adaptive video processing, multi-view video transmission for 3DTV applications, and optimization of multimedia delivery over heterogeneous networks. His scientific recognition includes: IEEE ASSP Group's Best Paper Award (1985) Fulbright Scholar designation IEEE Fellow (2005) Dr. Civanlar has directed major research initiatives including the Visual Communications Research Department at AT&T and DOCOMO's Computer Networks and Media Research Laboratory. He currently provides strategic guidance through advisory roles at Vidyo Inc. (USA) and Argela Teknolojileri AS (Turkey), while shaping academic direction as Vice Rector at Ozyegin University. His laboratory leadership has consistently produced industry-adopted innovations in multimedia communications standards.
Dr. Sergio Espana Cubillo is an Assistant Professor at Utrecht University within the Software Production research group. His work focuses on Requirements Engineering , Conceptual Modeling , and Software for Organizational Responsibility . He leads the Show your Heart project for sustainability reporting and contributes to SCENTISS (2023-2027) to support social entrepreneurship.
Mohammad Hamad is a leading researcher in the field of Automotive and IoT Cybersecurity at the Technical University of Munich (TUM) within the Department of Computer Engineering. He holds a PhD in Computer Engineering (Dr.-Ing.) from TU Braunschweig (2020) and serves as Group Leader for the "Security for IoT and Autonomous Systems" research group under Prof. Sebastian Steinhorst. Education : PhD in Computer Engineering (TU Braunschweig, 2020) Current Role : Research Group Leader (TUM) Hamad's research focuses on cybersecurity for connected and autonomous vehicles , addressing challenges in intrusion detection, secure communication, and real-time threat mitigation. His work bridges theoretical security models with practical implementations in embedded systems, including time-sensitive networking and decentralized identity management. His recent publications highlight trends in automotive threat modeling , secure MQTT communication , and gamified cybersecurity education through capture-the-flag competitions. He has supervised 25+ student theses on topics spanning attack simulation frameworks, intrusion detection systems, and secure data models. Scientific Contributions: Organized First Workshop on Real-Time Autonomous Systems Security (2024) Co-chaired Security Program Committees for DATE, NordSec, and RTCSA Key projects include EU-funded CyberSecDome (Co-PI) and PANDORA initiatives, alongside tool development like the Simutack attack simulation framework and SEEMQTT secure communication protocol.
Suzanne Jakobs is a Researcher in the Department of Orthopedics and Sports Medicine at Erasmus University Medical Center, specializing in pediatric hip disorders and musculoskeletal development. Her work focuses on clinical and radiological aspects of developmental dysplasia of the hip (DDH) across pediatric populations. Her research interests center on hip dysplasia epidemiology , radiographic assessment methodologies , and evidence-based treatment protocols for pediatric orthopedic conditions. Key areas include acetabular morphology analysis, automated measurement systems, and comparative effectiveness of intervention strategies for infants and children with hip pathologies. Analysis of her recent publications reveals a strong emphasis on systematic reviews of diagnostic criteria , development of open-access imaging tools , and randomized controlled trials for non-surgical interventions . Her work bridges clinical orthopedics with advanced radiological techniques, particularly in defining standardized metrics for hip dysplasia progression and treatment outcomes. Collaborative research dominates her output, with frequent partnerships across Erasmus MC departments and international pediatric orthopedic networks. Current projects include the TRAM-Trial investigating active monitoring versus abduction devices for infant hip dysplasia management.
Murat İSKEFİYELİ serves as an Associate Professor in the Department of Cyber Security Engineering within the Faculty of Computer and Information Sciences at Sakarya University. His academic career at the institution spans 27 years since 1998, progressing from Research Assistant through Lecturer (2009-2010), Assistant Professor (2010), and current Doctor Lecturer (2018) positions. His educational trajectory includes: Doctorate (2002-2010): Sakarya University Institute of Science, Electronics, thesis on "Modeling and performance analysis of WiMAX (IEEE 802.16)-Profibus interconnection element using petri nets" Master's Degree (1998-2002): Sakarya University Institute of Science, Electrical and Electronics Engineering (MA with Thesis) Bachelor's Degree (1994-1998): Sakarya University Faculty of Engineering, Electrical-Electronics Engineering Dr. İSKEFİYELİ's research integrates cybersecurity with artificial intelligence methodologies, focusing on anomaly detection systems for critical infrastructure and IoT environments. His work develops lightweight intrusion detection mechanisms using deep learning architectures, with specialized applications in facial anti-spoofing and two-factor authentication systems. He also pioneers optimization algorithms for multistage pumping stations and load-shifting operations in industrial control systems through dynamic programming approaches. No scientific awards were documented in the source material. Advising activities and research funding details were not specified in the provided information. Research laboratory affiliations and team structures were not mentioned in the available documentation.
Ameen Chilwan is a Lecturer at the Norwegian University of Science and Technology (NTNU) , affiliated with the Department of Information Security and Communication Technology . His research focuses on Networking , Software-Defined Networks (SDN) , and Cloud Computing , with additional work on Machine Learning applications in smart grids and Underwater Sensor Networks . Teaching: Courses include Interconnected Networks and Network Security (DCSG2001), Applied Networking (TTM4180), and Data Communication and Networks (DCSG1006). Email: ameen.chilwan@ntnu.no Research Trends: His publications from 2011–2024 emphasize network modeling, delay analysis, and energy-efficient protocols for SDNs, real-time systems, and cloud environments. Key themes include OpenFlow , 5G Edge Clouds , and Smart Grid Optimization .
Besmir Tola serves as Associate Professor in the Department of Information Security and Communication Technology at the Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU). His academic trajectory progressed from Researcher (2019-2020) to Assistant Professor (2020-2022) and current Associate Professor role since 2022, following a Marie Curie Research Fellowship (2015-2019). He maintains active industry connections through visiting positions at Nokia Bell Labs (2016) and SIKT (2018). His educational background includes: Master of Science in Electronic and Telecommunication Engineering, University of Siena, Italy PhD in Information Security and Communication Technology, NTNU Dr. Tola's research program centers on critical challenges in network virtualization and security, with four pillars: dependability modeling of softwareized networks, performance analysis of virtualized services, wireless security, and orchestration of softwarized networks. His work bridges theoretical modeling and practical implementation, particularly addressing carrier-grade requirements for Network Functions Virtualization (NFV) in telecom infrastructure. Key contributions include novel approaches to software rejuvenation for NFV-MANO systems and redundancy allocation mechanisms for high-availability services. Analysis of his 15+ publications (2015-2023) reveals an evolving research trajectory: early work established foundational models for cloud service failures (2017), followed by comprehensive NFV availability frameworks (2019-2021), and recent innovations in offline communication security (2022-2023). The publications consistently address resilience engineering across journals like IEEE Transactions on Network and Service Management and conferences including IEEE INFOCOM. His primary recognition is the prestigious Marie S. Curie Research Fellowship under the CleanSky ITN project, enabling international collaboration on critical network virtualization challenges. This fellowship represents significant competitive research funding in the European research landscape. Dr. Tola actively contributes to pedagogy as instructor for core networking courses including Interconnected Networks and Network Security (DCST2001) and Data Communication and Networks (DCST1006), implementing innovative flipped classroom approaches as documented in his 2022 UNIPED Program presentation. He advises bachelor students in the Digital Infrastructure and Cyber Security program through DCST2900 thesis supervision. He leads research within NTNU's Networking Research Group and extends impact through Cisco Networking Academy accreditation for CCNA, DevNet, CyberOps, and Cloud Security training. His IEEE leadership includes Chairing the NTNU Student Branch (2018-2021) and serving on the Norway Section Executive Committee (2018-2019).
Everson Borges is a Researcher at Trinity College Dublin and a lecturer at Instituto Federal do Espírito Santo (IFES). He is also a doctoral candidate at the Federal University of Espírito Santo (UFES), focusing on Dependable Networks. Education: Master’s degree in Operational Research and Computational Intelligence from Universidade Cândido Mendes. Bachelor’s degree in Information Systems from Centro Universitário São Camilo. His research and professional expertise center on computer network infrastructure, including technologies such as freertr, Linux, Windows servers, wireless LANs, Software-Defined Networking (SDN), and PolKA. He emphasizes dependable network design and implementation. At IFES, he contributes to academia as a lecturer, teaching Information Technology at Campus Cachoeiro de Itapemirim. His doctoral work at UFES under Professor Magnos Martinello extends his research in network dependability.
