Jan Piotr Chudzikiewicz is an Assistant Professor at the Faculty of Cybernetics of Warsaw University of Technology. His research focuses on cybersecurity, military IoT systems, wireless sensor networks (WSN), and fault tolerance mechanisms. He has extensively collaborated on projects involving trusted platform modules (TPM) for securing communication, hypercube network architectures, and reliability engineering in embedded systems. Key contributions include developing authentication protocols for WSNs, optimizing resource placement in fault-tolerant networks, and integrating security frameworks into military IoT infrastructure. His work often combines theoretical analysis with simulation-based validation, addressing challenges in both civilian and defense-oriented network systems. Notable publications span topics such as secured sensor domains, hypercube network reconfiguration, and reliability solutions for MIoT. His interdisciplinary approach bridges computer science, electrical engineering, and cybersecurity to address real-world operational challenges.
Amirali Amiri is a PostDoc Researcher at TU Wien's Department of Automation Systems, part of the Faculty of Informatics. His work focuses on systems engineering, IoT integration, and cyber-physical systems. He teaches courses like Fundamentals of Digital Systems and Computer Engineering Project . His research emphasizes supply chain optimization, IoT performance, and IT/OT convergence security. Notable contributions include model-based approaches for IIoT lifecycle management and self-adaptive systems. Recent studies explore MQTT broker deployment architectures, semantic annotation for runtime models, and graph-based safety analysis. His work bridges theoretical frameworks with empirical validation in industrial automation contexts. Amiri has contributed to conferences such as IEEE ICM, ICPS, and ETFA, addressing challenges in cloud-based routing, cybersecurity, and DevOps integration.
Florian Ferdinand Huemer is a PostDoc Researcher at the Embedded Computing Systems department (E191-02 Faculty Council Substitute Member) within the Faculty of Informatics at Vienna University of Technology. His work focuses on fault-tolerant asynchronous circuits, delay-insensitive communication protocols, and FPGA reliability analysis. BSc , Vienna University of Technology Dipl.-Ing. , Vienna University of Technology Dr.techn. , Vienna University of Technology Key research areas include: Fault-Tolerant Computing : Designing systems resilient to transient faults and radiation effects. Asynchronous Circuits : Developing quasi-delay-insensitive logic and Muller pipelines. Embedded Metrology : Applying polarization cameras and time-to-digital converters for industrial measurements. Recent publications address: 2024 : Polarization camera-based inline thickness measurement and FPGA ring oscillator synchronization. 2023 : Mitigating single-event transients in QDI logic. 2021 : Automated fault-injection frameworks and QDI pipeline sensitivity analysis. Projects funded by the Austrian Science Fund (FWF) during 2013-2018 explored self-stabilizing Byzantine fault-tolerant algorithms. Supervisions include: Haschke (2024): QDI adder comparison Spitzer (2024): Automated fault-injection framework Schwendinger (2022): Asynchronous circuit testing tools Pircher (2022): Smart SoC testing via IJTAG Behal (2021): QDI design template fault sensitivity
Raimund Kirner is an academic at the Institute of Computer Engineering (E191-01) at Technische Universität Wien , specializing in real-time and embedded systems. His career spans research in Worst-Case Execution Time (WCET) Analysis , Time-Triggered Communication , and Automated Testing for safety-critical systems. He has contributed to projects such as ALL-TIMES, COSTA, and HINT, focusing on timing predictability and composability in real-time systems. Key Research Areas : WCET Analysis, Real-Time Systems, Embedded Testing, Time-Predictable Computing Notable Collaborations : Peter Puschner, Andreas Prantl, Martina Zolda Recent Publications analyze cybersecurity in automotive networks, quantitative interface evaluation for time-triggered systems, and synchronization trade-offs. His work bridges theoretical timing models with practical compiler and hardware solutions for deterministic execution. Awards : Recipient of the Mobilitätsstipendium der Creditanstalt AG (2003) for outstanding dissertation. Advising includes supervising 11 theses from 2002–2014 on topics like Automated Load Balancing , WCET Estimation , and Compiler Timing Models .
Muhammad Yahya is a researcher at Nanjing University of Aeronautics and Astronautics with affiliations to institutions like Universiti Malaysia Terengganu and Norwegian University of Life Sciences. His work bridges optical network-on-chip (ONoC) and cybersecurity domains. H-index: 21 Total citations: 1,400+ Research Interests: Focus on photonic interconnects for manycore processors, heuristic optimization algorithms for crosstalk reduction, and security vulnerabilities in optical networks. Key projects include: Designing non-blocking optical switches with reduced power consumption Developing DPA-resistant cryptographic architectures for lightweight ciphers Creating heuristic fusion mapping algorithms combining PSO and SA Publication Trends: Recent articles (2018-2023) demonstrate expertise in optical router design , fault analysis of encryption protocols, and machine learning applications to network optimization. Technical Contributions: Invented the PSO_SA algorithm for crosstalk optimization, HoneyComb ROS reconfigurable switches, and two-domain MATLAB frameworks for computational mathematics.
Professor Kandeepan Sithamparanathan is a Professor and Head of the Department of Electrical and Electronic Engineering at RMIT University's School of Engineering. He also serves as the Associate Dean for Electronic and Telecommunications Engineering. His research focuses on next-generation communication systems, including 5G/6G networks, satellite communications, machine learning applications, and security in communication technologies. He has received significant recognition, including Best Paper Awards and an IEEE Certificate of Appreciation for 10 years of dedication to the field. Professor Sithamparanathan collaborates extensively with global industry partners such as Thales, Ericsson, and Telstra, as well as research organizations like the German Aerospace Center and CSIRO. He actively supervises PhD students and has secured substantial research funding grants. His teaching spans advanced topics in wireless communications, satellite systems, and signal processing, and he leads initiatives like the Smart Sat CRC, RMIT Space Industry Hub, and WILAB to advance smart communication technologies and IoT. Awards: Best Paper Award, IEEE Conference on Wireless for Space and Extreme (2019) IEEE Communication Society Certificate of Appreciation (2015) Best Paper Award, International Conference on Personal Satellite Services (2012) Advising & Grants: Supervises many PhD students and mentors early-career researchers via multi-million dollar grants. Leads projects on 6G wireless systems, UAV communications, and AI-driven security solutions. Labs & Teams: Program Lead for Advanced Communications and IoT at RMIT Space Industry Hub; Deputy Lead of WILAB, advancing optical and wireless innovations.
Jim Plusquellic is a Professor in the Department of Electrical and Computer Engineering at the University of New Mexico. He holds leadership roles including Director of the Integrated Circuit Hardware Analysis Laboratory (IC-HAL) and President/CEO of IC-Safety, LLC. His research focuses on hardware security, trust, and IoT systems, with contributions to PUF-based authentication and Trojan detection. He has authored/co-authored over 100 refereed publications and holds multiple patents. Plusquellic has been honored with awards such as the IEEE Computer Society's Outstanding Contribution Award and induction into the HOST Hall-of-Fame. Education: Ph.D., Computer Science, University of Pittsburgh, 1997 M.S., Computer Science, University of Pittsburgh, 1995 B.S., Biology, Indiana University of Pennsylvania, 1983 Research & Grants: Lead PI for the "Trusted and Assured Microelectronics Theme" under ASU's SWAP Hub ($2.5M, 2024-2028) NSF-funded projects on hardware security primitives and DFM (e.g., $300K for regional process variation analysis) Industry collaborations with Sandia National Labs, IBM, NASA, and commercial entities Key Contributions: Co-founder of the IEEE International Symposium on Hardware-Oriented Security and Trust (HOST) Developed PUF-based authentication protocols (e.g., PUF-Cash for digital currency) Authored book chapters on hardware security and Trojan detection Labs & Teams: Integrated Circuit Hardware Analysis Laboratory (IC-HAL) Collaboration with Enthentica Inc. and IC-Safety for hardware security commercialization
Dr. Deepak Sahoo is an Associate Professor in the School of Mathematics and Computer Science at Swansea University, part of the Faculty of Science and Engineering. His research focuses on innovative interfaces between people and computers, with particular emphasis on sustainable and ubiquitous technologies. He is actively involved in postgraduate supervision and has contributed to over 70 publications since 2001, spanning topics from robotics and IoT to nanotechnology. His work explores novel materials like liquid metals and photovoltaic surfaces to create interactive systems that enhance human-computer interaction. Dr. Sahoo collaborates internationally, addressing challenges in community policing, elderly care technology, and slum community co-design. He teaches modules including 'Robotics Fundamentals' and 'Future Interaction Technologies MRes Project.' Research Interests: Dr. Sahoo specializes in designing interfaces that leverage cutting-edge materials and energy-efficient methods. His work includes tactile displays using liquid metals, self-powered IoT devices, and co-design methodologies for socially impactful technologies. He emphasizes sustainability and accessibility in his projects, such as developing companion robots for older adults and community-driven policing tools. Publications Overview: His recent work (2021–2025) highlights advancements in multimodal robotics, self-powered interfaces, and participatory design for marginalized communities. Earlier contributions (2001–2017) explore nanoscale imaging, spintronic sensors, and acoustic manipulation techniques. These studies reflect his interdisciplinary approach, bridging computer science, materials science, and engineering. Grants & Projects: He leads projects like 'PV-Interfaces: Self-Powered Interfaces via Photovoltaic Surfaces' (2018) and collaborates on initiatives involving slum community co-design of smart materials. His research frequently intersects with real-world applications, such as improving physical activity in older adults and enhancing public safety through technology. Labs & Teams: Based at Swansea's Computational Foundry, he contributes to the university's research themes in Future Interaction Technology and Sustainable Computing. His team develops prototypes like liquid-metal displays and energy-harvesting systems, emphasizing hands-on innovation.
Professor Miliou N. Amalia is a faculty member at the Department of Informatics, Aristotle University of Thessaloniki. She holds a PhD in Electrical & Computer Engineering from the University of Florida. Her academic roles include Professor and ERASMUS Coordinator. Her research focuses on optical communications, including optoelectronic circuits, 5G networks, and secure optical systems. She has supervised numerous students and contributed to projects like 5G-PHOS and ePhos. Education: BSc Physics (Aristotle University), MSc/PhD in Electrical Engineering (University of Florida) Research interests span optical switching, converged fiber-wireless technologies, and high-speed optical memory architectures. Her work includes over 100 publications in journals like IEEE/OSA and conferences such as OFC and ECOC. She leads initiatives in optical network intelligence and reconfigurable data planes. Administrative roles include curriculum development and international program coordination.
Dr. Luis Vallejo Castro is a Research Fellow at the Digital Signal Processing (DSP) Center of Excellence within the School of Computer Science and Engineering at Bangor University. His research focuses on cutting-edge optical and wireless communication systems, particularly in fiber-wireless convergence, millimeter-wave (mmWave) signal generation, and photonic technologies. He actively collaborates with institutions like the Universitat Politècnica de València (Spain) under projects such as NEWFOCUS, a European initiative advancing future-generation optical wireless communication technologies. Key research interests include seamless integration of optical and wireless networks, dynamic sub-wavelength switching, and security mechanisms for mmWave systems. His work addresses challenges in next-generation networks, such as enhancing bandwidth, reducing latency, and ensuring robust security for 6G and Beyond 5G (B5G) systems. He has contributed to experimental demonstrations of full-duplex communications and full-duplex systems using free-running lasers and photonic techniques. Dr. Vallejo Castro has organized and participated in international training schools and conferences, fostering collaboration across academia and industry. His recent work includes advancements in physical layer security using chaotic digital filters and the development of tunable photonic mmWave generation for flexible network infrastructures. He has secured funding through EU initiatives and maintains active research links with global partners.
Cornelia Brülhart is a Research Associate and PhD Student in the Computer Networks (NET) group at the University of Hamburg since 2023. She holds an M.Sc. in Computer Science from the University of Hamburg (2019). Previously, she worked as a System Engineer at the Centre of Applied Aeronautical Research (ZAL), focusing on distributed systems and communication protocols in aviation. Her research emphasizes zero-trust security models, resilient mission-critical networks, and anomaly detection in time-sensitive domains. She contributes to projects like RESISTANT, enhancing Ethernet standards for embedded systems. Her research interests include Time-Sensitive Communication (especially avionics applications), dynamically configurable networks, and embedded processing platforms. She has collaborated on the DELIA project integrating TSN, FPGAs, and fiber optics. Her work addresses security challenges in critical infrastructure networks. Publications highlight advancements in TSN security, resilient mission-critical systems, and P4-based network solutions. Her projects bridge academic research with industrial applications, particularly in aviation and embedded systems.
Nidhi Simmons is a Lecturer and Royal Academy of Engineering Research Fellow at the Centre for Wireless Innovation (CWI), Queen’s University Belfast. Her research focuses on ultra-reliable communications in 5G/6G networks using machine learning approaches. She holds an M.Sc. in Wireless Communications and Signal Processing (University of Bristol, 2012) and a Ph.D. in Electrical Engineering (Queen’s University Belfast, 2018). She secured the £500k Royal Academy of Engineering Research Fellowship (2020–2026) and the EPSRC New Investigator Award (2025–2028), totaling ~£900k in funding. Her work includes wireless channel modeling, physical-layer security, and ML-driven solutions for reliable networks. Research interests span ultra-reliable communications, ML for 5G+/6G networks, and channel characterization. She has published over 30 IEEE articles and received the Best Paper Award at IEEE ANTS 2023. She serves on technical committees for IEEE conferences (GLOBECOM, VTC) and promotes diversity through mentorship programs for underrepresented engineering students. Awards include the Royal Academy of Engineering Fellowship, EPSRC New Investigator Award, and EPS Postdoc Prize. She actively mentors early-career researchers and supports initiatives like IEEE Women in Engineering and Women in Tech Belfast.
Simon Cotton is a Professor at Queen's University Belfast, affiliated with the School of Electronics, Electrical Engineering and Computer Science and the Wireless Communication Systems Institute. His research focuses on advanced wireless communication systems, including 5G/6G networks, reconfigurable intelligent surfaces (RIS), and millimeter-wave technologies. He has led major projects such as the Future Communications Hub in All-Spectrum Connectivity and contributed to initiatives like the UK Telecoms Innovation Network (UKTIN). His work encompasses channel modeling, antenna design, and machine learning applications in wireless networks. Key awards include the Harold A. Wheeler Prize Paper Award and Philip Leverhulme Prize, reflecting his impactful contributions to the field. He has been actively involved in national committees, such as the Wireless 2030 Report for the UK Government and DCMS 6G Consultation. His research has been widely disseminated through conferences and media, including BBC features on 5G and future wireless technologies. Recent projects span topics like secure wireless systems, energy-efficient MIMO architectures, and AI-driven network optimization. Collaborative work with institutions like the University of Oxford and Strathclyde highlights his role in advancing cross-disciplinary research in next-generation communication networks.
Dr. J. Todd McDonald is a Professor of Computer Science at the University of South Alabama's School of Computing. He serves as Director of the Center for Forensics, Information Technology, and Security (CFITS) and has held academic roles including Associate Professor (2011-2014) and Assistant Professor at the Air Force Institute of Technology (2006-2009). His education includes a Ph.D. in Computer Science from Florida State University (2006), MS in Computer Engineering from AFIT (2000), MBA from University of Phoenix (1996), and BS from the U.S. Air Force Academy (1990). Research Interests: Focus on software/hardware protection (obfuscation, watermarking), malware analysis, secure embedded systems, and cybersecurity. Notable projects include Phase-Space Analysis for seizure prediction, CAN network security, and development of the Program Encryption Toolkit (PET) for circuit protection research. Publications: Over 80 peer-reviewed articles in journals/conferences (e.g., IEEE, ACM) covering topics like side-channel analysis, malware detection, and cybersecurity frameworks. Recent work includes 2025 research on embedded system anomaly detection and 2021 studies in Android malware classification. Awarded Best Poster (IEEE HOST 2016) and Best Paper (CISR 2014) Managed NSF Scholarship for Service program ($6M+ funding) Advised 20+ graduate students in cybersecurity and software protection Led USA's DayZero Cyber Defense Competition teams (5th NCCDC 2017) Labs/Teams: SPERG (System Protection & Exploitation Research Group), CFITS directorship, and leadership in SSPREW workshop series. Active in developing cybersecurity education curricula and industry partnerships.
Brian Kim, Ph.D., is an Assistant Research Professor in the Joint Program in Survey Methodology at the University of Maryland. His research focuses on social network analysis, network sampling methodologies (including respondent-driven sampling), and population size estimation. He holds a Ph.D. in Statistics from the University of California, Los Angeles (2017) and a B.A. in Mathematics and Philosophy from Amherst College (2012). His work emphasizes innovative approaches to survey design and data collection, particularly in addressing challenges related to hard-to-reach populations. Recent publications explore covert communication techniques using adversarial machine learning in wireless networks, reflecting his interdisciplinary expertise in statistics and computer science. Key Research Trends: Kim’s articles highlight advancements in adversarial machine learning for network security, optimization of open RAN systems, and methodological improvements in respondent-driven sampling diagnostics. His studies bridge theoretical statistical frameworks with practical applications in modern communication systems and survey methodologies. Lab/Team Affiliations: His research is conducted within the Joint Program in Survey Methodology, collaborating with institutions and platforms globally to inform public policy and research practices.
