Murat Babek Salman is a Postdoctoral Fellow at the Royal Institute of Technology (KTH) , affiliated with the Communication System department. His research focuses on wireless communication systems, particularly in Massive MIMO, hybrid beamforming, and nonlinear signal processing for hardware impairment mitigation. His work addresses challenges in 5G/6G networks, full-duplex communication, and radar system optimization. Dr. Salman's recent publications highlight advancements in MIMO-OFDM radar, transitioning to gigantic MIMO for 6G, and developing low-complexity algorithms for nonlinear distortion compensation. His research spans both theoretical analysis and practical implementations for efficient physical layer design. His contributions include: Direction of Arrival (DoA) estimation techniques Power allocation strategies in massive MIMO Nonlinear detection algorithms for hybrid systems Quantization-aware ISAC system design
Mahmoud Zaher is a Postdoctoral Fellow at the Royal Institute of Technology (KTH) in Stockholm, Sweden. His academic work includes teaching roles as an assistant for Degree Project in Computer Science (II142X) and as a teacher for Communication Systems (IK2200) and Radioelectronics (IL2219) . His research focuses on wireless communication and network optimization, particularly in Cell-Free Massive MIMO systems, federated learning over wireless networks, and interference management techniques. Research Trends : His recent publications highlight advancements in energy-efficient communication, latency reduction in distributed learning systems, and interference modeling for improved spectral efficiency. Topics span full-duplex relaying, beamforming, power allocation, and mmWave mobility. Teaching Roles : He contributes to academic programs in computer science and radioelectronics, reflecting his expertise in telecommunications and signal processing.
Rahim Rahmani is a full Professor at Stockholm University's Department of Computer and Systems Sciences, where he leads the laboratory for Distributed Immersive Participation . His work bridges Distributed Systems , Internet of Things (IoT) , and Healthcare Technology , with a focus on security, edge computing, and immersive systems for societal challenges. Research Interests : Distributed Intelligence, Edge Computing, Blockchain, Extended Reality (XR), Adversarial Machine Learning, and Cognitive Controllers for 5G/6G networks. Teaching : Program Director for the Master's Programme in Computer and Systems Sciences, teaching courses on IoT, Network Security, and Computer Architecture. Publication Trends : His recent work emphasizes secure data sharing in IoV using Blockchain, Federated Learning for healthcare diagnostics (e.g., sepsis and COVID-19 detection), and XR platforms for autism support. Key subfields include Context-Aware Systems , Decentralized Identity Management , and Edge-Cloud Collaboration .
Ziwei Wang is a Lecturer in Robotics at Lancaster University and co-theme lead of the Lancaster Intelligent, Robotic and Autonomous Systems Centre (LIRA). He holds a Ph.D. in Automation from Tsinghua University and previously worked as a Research Associate at Imperial College London's Department of Bioengineering before joining Lancaster. Research Focus : Teleoperation systems, human sensorimotor augmentation, AI-based telerobotics, haptic interaction, and control technologies for extreme environments. His work addresses challenges in remote surgery, space robotics, and nuclear decommissioning through prescribed-performance control, reinforcement learning, and fuzzy modeling. Scientific Contributions : Over 70 publications in journals like IEEE Transactions on Automatic Control and IEEE/ASME Transactions on Mechatronics . Key projects include the Future AI and Robotics for Space (FAIR-SPACE) Hub and RAICo Fellowships. Awards include Best Paper at ICAC 2022 and IROS 2024 New Generation Star recognition. Academic Roles : Associate Editor for IET Journal of Engineering and Biomimetic Intelligence and Robotics , with leadership in IEEE conference committees. Teaches Mechanics Engineering and Machine Learning in Engineering at Lancaster.
Stanislav Lange is an Associate Professor at the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU). His research focuses on network function virtualization, 5G/6G network slicing, quality of service (QoS), quality of experience (QoE), and machine learning applications for network management. His recent publications address decentralized autoscaling, 5G New Radio scheduling impacts, and survivability of network slices during outages. Key trends in his work include network intelligence, in-network computing, and deterministic performance guarantees in virtualized environments. Lange contributes to teaching courses in network programming, cybersecurity, and computer networks for instrumentation. His collaborations span IEEE conferences and journals, addressing challenges in network virtualization, resource optimization, and next-generation communication systems.
Kapal Dev is an Assistant Professor at the Department of Computer Science, Munster Technological University (MTU), Ireland, where he has been serving since 2021. He also holds the position of Funded Investigator at CONNECT, Trinity College Dublin, one of Europe's top research centers funded by Science Foundation Ireland. Previously, he was a Postdoctoral Research Fellow with the CONNECT Centre at Trinity College Dublin and worked as a 5G Junior Consultant and Engineer at Altran Italia S.p.A. in Milan, Italy. Dr. Dev's research focuses on Wireless Networks, Security and Privacy, Agentic AI, and Industry 5.0 applications. His work centers on designing effective and efficient communication network protocols for 5G and 6G networks, with emphasis on computational complexity reduction and energy efficiency improvements. His research also addresses data and model privacy preservation, which is increasingly critical with the proliferation of AI services. His recent publications demonstrate strong trends in next-generation wireless networks, particularly 6G systems, UAV communications, federated learning, quantum networking, and AI security applications. His work bridges theoretical innovation with practical implementations for industry 4.0/5.0 applications. Dr. Dev has received numerous prestigious awards including the IEEE ComSoc EMEA Outstanding Young Researcher 2022, The Tom Brazil Excellence in Research Award 2023, and membership in the Global Young Academy (GYA) 2024 (top 45 researchers worldwide). He has also been recognized with the Best workshop Paper award at IEEE WCNC 2024 and the IEEE CTSoc CCN TC Outstanding Service Award 2024. IEEE ComSoc EMEA Outstanding Young Researcher 2022 The Tom Brazil Excellence in Research Award 2023 Global Young Academy (GYA) 2024 membership Best workshop Paper award at IEEE WCNC 2024 IEEE CTSoc CCN TC Outstanding Service Award 2024 2022 Irish Research Council Research Ally Prize Dr. Dev has supervised more than 25 master's and PhD students and secured over €1.5 million in research funding as Principal Investigator for Horizon Europe MSCA Staff exchange, Erasmus+ International Credit Mobility, and Capacity Building for Higher Education projects. He actively contributes to standardization efforts as a working group member of P1954 and serves as founding chair of the IEEE ComSoc special interest group on Industrial Communication Networks. His editorial service spans numerous high-impact journals including IEEE Transactions on Communications and Nature Scientific Reports.
Christos Chrysoulas is an Associate Professor in Software Engineering at Heriot-Watt University's School of Mathematical & Computer Sciences in Edinburgh, UK. He holds a PhD in Electrical Engineering from the University of Patras (2009) and has published over 71 research outputs focusing on Smart Grids, IoT, Machine Learning, Big Data Analytics, and cybersecurity. PhD in Electrical Engineering, University of Patras (2009) Diploma in Electrical Engineering, University of Patras (2003) His research focuses on Smart Grids , Industrial IoT , Explainable AI , and Cybersecurity . Recent work explores generative AI applications in critical infrastructure protection, neurosymbolic learning for cyberattack detection, and cloud-native data platform architectures. Key scientific achievements include: Best Paper Award, IFIPSEC 2024 Leading Light Innovation 2022, Scottish Cybersecurity Awards Best Presentation Award, ICISS 2021 He leads the PROFEEDBACK COST Action project (2021-2025) and co-leads the GLASS EU project (2021-2024) focused on decentralized e-governance. His work contributes to UN Sustainable Development Goals related to industry innovation, sustainable cities, and quality education.
Anushka Stancheva serves as a Lecturer at New Bulgarian University's Faculty of Mathematics, Department of Telecommunications, following her tenure as Associate Professor (2011-2021). Holding a PhD in Electromagnetic Compatibility of Radio Electronic Equipment, she specializes in wireless communication systems and spectrum management. Her educational background includes: Doctorate (1990) in Communication and Computer Engineering from Technical University, Sofia, with thesis on radio interference resistance Master of Engineering (1977) in Radio Engineering from Higher Machine and Electrical Engineering Institute, Varna Dr. Stancheva's research focuses on Electromagnetic Compatibility analysis, mathematical modeling of wireless systems (GSM/UMTS/LTE/5G), radio frequency spectrum management, and biological effects of electromagnetic fields. Her work bridges theoretical EMC frameworks with practical industry applications in mobile communications and regulatory compliance. Her 15 most recent publications (2015-2018) demonstrate concentrated expertise in 5G spectrum allocation, LTE interference mitigation, cognitive radio systems, and regulatory frameworks for radio equipment. These works reveal evolving research trajectories toward next-generation mobile networks and increasingly stringent EMC standards. She has directed significant projects including GSM network digitization for 350,000+ subscribers, mobile fraud management systems, and WHO-collaborated health impact studies of electromagnetic fields. Her administrative leadership includes directing NBU's Telecommunications Master's program (2011-2012) and serving as Program Director (2012-2016). Professionally active, she chairs the Space Communications section at the Bulgarian Astronautical Society, serves on WRC-2019 preparation committees, and contributes to WHO electromagnetic radiation research initiatives.
Iakovos Venieris is a Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), with over 350 publications and leadership of the ICBNet research group. He holds a PhD in Electrical and Computer Engineering from NTUA (1990) and a Dipl.-Ing. from the University of Patras (1988). Research Interests : Distributed systems, security & privacy, machine learning in networks, wireless communications, intelligent networks, and communications software architecture. His scientific contributions span federated learning for 6G/IIoT, MIMO-OFDMA optimization, privacy-aware access control, and intelligent broadband networks. Recent works focus on stacked intelligent metasurfaces, beamforming, and constraint-aware edge AI. Awards : Recipient of multiple national and international academic awards, with papers nominated for top conference honors (e.g., EuCAP 2015 Best Paper, GIIS 2018 Best Student Paper). Leadership Roles : Director of ICBNet, contributor to IEEE/ACM journals, and co-editor of foundational books on broadband networks and object-oriented software. Projects : Led national/international initiatives in network management, telehealth platforms (inCASA), and cyber-physical system standardization.
Stefan Höst is a Senior Lecturer and Head of Department at Lund University's Faculty of Engineering, Department of Electrical and Information Technology. He leads the Secure and Networked Systems research group and contributes to the ELLIIT initiative on IT and mobile communication. Current projects include DIGITHUBSE (Digital Europe Programme 2022-2025) and A5GARD (5G residential assurance 2020-2023) Previously led FU5ION (5G network research 2018-2019) and H-OPTO (optical network deployment 2016-2020) Research Focus: Active in Information Theory , Communication Systems , and Network Security , with key contributions to OFDM signal processing , fronthaul compression , and 5G infrastructure . His work intersects with sustainable development goals through digitalization and cloud deployment research. Publications: 51 total research outputs including 9 articles, 26 conference papers, and a 2019 IEEE Press book on communication theory. Recent work explores DCT-based compression , packet loss correlation , and latency-critical cloud services .
Nikolaos Alachiotis is an Associate Professor at the Digital Society Institute, specializing in Artificial Intelligence, Field-Programmable Gate Arrays (FPGA), and Genomics. His work bridges Hardware Acceleration with Bioinformatics , focusing on scalable solutions for genomic analysis and evolutionary biology. Research Themes: AI Hardware, FPGA Optimization, Population Genetics Key Collaborations: Delft University of Technology, Zenodo, Frontiers in High-Performance Computing Research Focus Alachiotis develops deep learning and FPGA-based tools for selective sweep detection and phylogenetic inference , enabling faster genomic analyses. His work spans convolutional neural networks , spiking networks , and adaptive computing for bioinformatics and radio astronomy. Recent articles highlight trends in AMD Versal SoC applications, deep learning for natural selection , and scalable genomic pipelines . Scientific Awards Outstanding Student Paper Award (2023) Supervised Work His supervised projects include Accelerating Selective Sweep Detection and Effective Data Preprocessing Techniques , often in collaboration with institutions like Zenodo and Frontiers journals.
Majdoddin Esfandiari is a Postdoctoral Researcher at Aalto University's Department of Information and Communications Engineering, affiliated with the Esa Ollila Group. His research focuses on wireless communications, signal processing, and machine learning. Education : Master's degree in Engineering and Technology from Shiraz University (2018). His research interests include channel estimation, direction-of-arrival (DoA) estimation, millimeter-wave systems, and sparse signal processing. He employs machine learning techniques like AdaBoost and reinforcement learning to address challenges in one-bit quantized systems and massive MIMO architectures. Recent publications highlight advancements in one-bit millimeter-wave MIMO systems (2025), ISAC resource allocation (2025), and covariance matrix estimation (2025). Key trends include low-resolution signal processing, AI-driven resource optimization, and robustness in correlated noise environments. He contributes to projects such as 6G ISAC (2023-2026) and MASSIVE AND SPARSE ANTENNA ARRAY PROCESSING (2019-2021). Collaborations span Finland and international institutions.
Mark Stefan Oude Alink is an Associate Professor at the University of Twente , specializing in Integrated Circuit Design . His work bridges Artificial Intelligence Hardware , Radio Frequency Engineering , and Optical Characterization of semiconductor devices. Research Interests : Focus on silicon-on-insulator (FDSOI) technologies, intermodulation effects in RF systems, and energy-efficient circuit architectures. Key Contributions : Pioneered low-power direct-conversion receivers, advanced PIN-diode responsivity, and linearizer systems for power amplifiers. Scientific Awards include the Else Kooi Prize (2013) , Master Thesis Prize (2009) , and CIVI Propedeuseprijs (2002) , reflecting early and mid-career excellence. Publications highlight trends in 850 nm optical characterization , low-power RF design , and SOI device optimization , with recent work extending to 2025. Collaborations span intermodulation analysis , AI hardware acceleration , and spectrum sensing in cognitive radio systems.
Katarzyna Mierzejewska is a researcher at the University of Warmia and Mazury in Olsztyn, affiliated with the Department of Ichthyology and Aquaculture and Animal Bioengineering. Her scientific discipline spans Zootechnics and fishing, with a focus on fish parasitology, telemetry, and population dynamics. Parasitological studies of fish (Gobiiformes and others) Fish telemetry using hydroacoustics and radio telemetry Fish population analysis and invasive species monitoring Cross-disciplinary work in digital transformation and CSR in energy SMEs Her recent publications highlight interdisciplinary research trends, including parasite-host interactions, telemetry-based fish behavior studies, and organizational agility in the energy sector. She has co-supervised one PhD student and serves as a promoter for doctoral research. The department’s infrastructure supports telemetry studies, parasite research, and energy sector analyses.
Ahmed Ewaisha is an Associate Professor at Arizona State University (ASU) in the School of Electrical, Computer and Energy Engineering. He is also an Affiliate Faculty member at the Center of Muslim Experience in the US at ASU. PhD in Electrical Engineering, Arizona State University (2016) MSc in Electrical Engineering, Nile University, Egypt (2011) BSc (Honors) in Electrical Engineering, Alexandria University, Egypt (2009) His research focuses on wireless communications and networking, with an emphasis on algorithm development for quality-of-service (QoS) in real-time applications like audio and video data. His work spans cognitive radio systems, MIMO technology, machine learning in telecommunications, and optimization of deadline-constrained traffic in cellular networks. His recent publications address scheduling in URLLC and eMBB systems, machine learning for MIMO channel prediction, and power allocation in cognitive radios. Key themes include interference management, 5G network optimization, and real-time traffic handling. He teaches courses such as Analog and Digital Circuits , Circuits I , and Python for Rapid Engineering Solutions , alongside thesis and research seminars.
