Cicek Cavdar is an Associate Professor at the School of Electrical Engineering and Computer Science (EECS) at KTH Royal Institute of Technology , Sweden. She leads the Intelligent Network Systems research group and specializes in Telecommunication Networks , with a focus on Beyond 5G/6G Mobile Networks , Energy Efficiency , and AI-Assisted Network Management . PhD in Computer Science (2009) from University of California, Davis and Istanbul Technical University Her research spans Cell-Free Massive MIMO , Reconfigurable Intelligent Surfaces (RIS) , UAV Communication Systems , and Green Network Technologies . She actively contributes to 6G Network Architecture and Non-Terrestrial Networks , including satellite and aerial systems. Recent publications highlight AI-driven network optimization for handover management, energy-aware resource allocation , and multi-agent reinforcement learning in complex communication environments. She teaches advanced courses in Communication Systems , Machine Learning , and Software Engineering at KTH.
Zhibo Pang is an Adjunct Professor at KTH Royal Institute of Technology's Department of Intelligent Systems (EECS) and Senior Principal Scientist at ABB Corporate Research Sweden. His work focuses on digital transformation in industry and healthcare, spanning robotics, AI, control systems, and wireless communication. He leads projects in embodied intelligence, Industry 4.0, and Healthcare 4.0, with 23 granted patents and over 120 journal papers. Education: PhD in Electronic and Computer Systems (KTH, 2013), MBA in Innovation & Growth (University of Turku, 2012). Key Roles: IEEE Technical Committee Chair, Editor of 6 IEEE journals, ABB Inventor of the Year (2016, 2018, 2021). Research Interests: Robotics safety, wireless automation, federated learning, digital twins, and IoT security. Recent Projects: Cloud-fog automation frameworks, robot skin systems for healthcare, and latency-aware industrial control. His work bridges academia and industry through cross-functional collaborations.
Marianna Ivashina is a Professor and Head of the Antenna Systems Research Group at Chalmers University of Technology's Department of Electrical Engineering . Her work focuses on array antennas , antenna integration with electronics , optimal beamforming , and over-the-air measurement methods . The group has achieved international recognition for innovations in ultra-wideband (UWB) feeds , Gap waveguide antennas , and Doherty-power-amplifier-integrated antennas for 5G/6G and radio telescope applications. Key projects include the SSF Sweden-Taiwan collaboration , EU Horizon 2020 MyWave , and VINNOVA ENERGETIC initiatives. Her recent publications emphasize millimeter-wave (mmWave) communication and reconfigurable intelligent surfaces (RIS) , with applications in 5G/6G networks , satellite communication (SatCom) , and advanced antenna testing chambers . She explores beamforming optimization , self-interference mitigation , and hybrid OTA environments to enhance wireless system performance. The group's work bridges theoretical advancements with practical implementations, including RFSoC testbeds and high-efficiency antenna arrays . Marianna leads major research programs funded by Ericsson , VINNOVA , and EUREKA EURIPIDES2 , addressing challenges in beamforming , antenna-IC integration , and automated design for 5G/6G . These projects highlight her role in advancing millimeter-wave communication and sensor integration technologies.
Tommy Svensson is a Professor of Communication Systems at Chalmers University of Technology, where he leads research on wireless systems on air interface and wireless backhaul network technologies. He received his Ph.D. in information theory from Chalmers in 2003 and has extensive industry experience from Ericsson AB, working with core, radio access and microwave networks. His primary research interests include: Design and analysis of mobile communication systems Physical storage algorithms Multi-user access and resource allocation Cooperative/context-aware/secure communication mm-wave/sub-THz communication C-V2X and JCAS Satellite networks Sustainable design and comprehensive architecture Professor Svensson has been actively involved in numerous European research projects including WINNER I/II/+, ARTIST4G (contributing to 3GPP LTE standards), METIS, mmMAGIC, and 5GCar (towards 5G), and Hexa-X, RISE-6G, SEMANTIC, ROBUST-6G, and ECO-eNET (towards 6G). He also contributes to the Chase/ChaseOn and WiTECH antenna systems center of excellence at Chalmers, focusing on mm-wave and (sub)-THz solutions for various wireless scenarios. His publication record is extensive, with 6 books, 111 journal papers, 151 conference papers, and 80 public EU project deliverables to his name. Professionally, he serves as: Founding member/editor of the IEEE JSAC Series on Machine Learning in Communications and Networks Chair of the award-winning IEEE Sweden Vehicular Technology/Communications/Information Theory Societies chapter Editor of IEEE Transactions on Wireless Communications and IEEE Wireless Communications Letters Lead local organizer of EuCNC & 6G Summit 2023 Coordinator of the Communication Engineering Master's Program at Chalmers
Nikolaos Kolomvakis is a researcher in the Division of Communication Systems at KTH Royal Institute of Technology in Sweden. He is also a visiting researcher at Ericsson AB in Stockholm. Previously, from 2017 to 2023, he held positions as Systems Engineer and Senior Researcher at Ericsson. His research focuses on wireless communications and signal processing, particularly on developing baseband physical-layer algorithms for distributed/cell-free massive MIMO, holographic MIMO, and large intelligent surfaces. Education: Ph.D. in wireless communications from Chalmers University of Technology , supervised by Prof. Mats Viberg with co-supervision from Prof. Thomas Eriksson and Prof. Michail Matthaiou M.Sc. in information technology & electrical engineering from ETH Zurich (2012) Research Interests: Wireless communications Signal processing Distributed/cell-free massive MIMO Holographic MIMO Large intelligent surfaces Publications: Recent work includes analyzing nonlinear distortion in large arrays and active reconfigurable intelligent surfaces (2025) Exploring spatial frequencies in near-field communications (2025) Investigating 6G performance through gigantic MIMO (2025)
Alireza Saberkari is an Associate Professor and Docent at Linköping University, affiliated with the Department of Electrical Engineering and the Division of Electronics and Computer Engineering (ELDA). His work bridges analog, digital, and mixed-signal electronics with applications in biomedical systems, wireless power, and energy-efficient integrated circuits. Research Interests: His research spans low-power analog and mixed-signal IC design, energy harvesting, RF circuits, and the miniaturization of Nuclear Magnetic Resonance (NMR) systems for portable spectroscopy. He is actively involved in developing integrated solutions for wireless cell fluorescence detection and intelligent surfaces for mid-range wireless power transfer. Recent Publication Trends: His recent publications (2024–2025) emphasize circuit-level innovations in switched-capacitor amplifiers, RF-DC rectifiers, and NMR front-ends, reflecting a strong focus on energy efficiency, integration, and system co-design for portable and biomedical applications. Scientific Projects: Nuclear Magnetic Resonance (NMR) Miniaturization for Spectroscopy (VR, 2023–2026) Efficient Mid-Range Wireless Power Transfer with Intelligent Surfaces (EMPTIS, ELLIIT, 2023–2027) ENGINED - Efficient Organic Energy Module (Vinnova, Phase I, 2023–2024) Micrometer-Scale Wireless Cell Fluorescence Detection Device (SSF Med-X, 2020–2024) Advising and Grants: While no formal students are listed, his leadership in multiple externally funded projects indicates active supervision and mentorship. He has secured funding from major Swedish research agencies including VR, ELLIIT, Vinnova, and SSF, demonstrating strong grant acquisition and collaborative research capabilities. Labs and Research Teams: He is a core member of the Electronics and Computer Engineering (ELDA) division at Linköping University, contributing to a multidisciplinary team focused on advancing electronics for real-world applications in healthcare, energy, and communication systems.
Emil Björnson is a Professor of Wireless Communications and Head of the Communication Systems Department at KTH Royal Institute of Technology since 2024. He received his Master of Science in Engineering Mathematics from Lund University (2007) and PhD in Telecommunications from KTH (2011). After postdoctoral work at SUPELEC, France (2012-2014), he held faculty positions at Linköping University (2014-2021) before returning to KTH in 2020. Research Focus: MIMO communications, reconfigurable intelligent surfaces, radio resource allocation, machine learning for communications, and energy efficiency Editorial Roles: Editor for multiple IEEE transactions and magazines His research has significantly advanced wireless communication technologies, particularly in Massive MIMO and cell-free systems. He has authored four textbooks, including Massive MIMO Networks (2017) and Introduction to Multiple Antenna Communications and Reconfigurable Surfaces (2024). Scientific awards include: IEEE Fellow Clarivate Highly Cited Researcher Wallenberg Academy Fellow Digital Futures Fellow Multiple IEEE and EURASIP awards (2014-2024)
Artem Vilenskiy is a researcher in the Antenna Systems group at Chalmers University of Technology since 2019. His work focuses on developing active integrated array antenna concepts, 100+ GHz beam-steerable antennas and circuits, MMIC design, computational electromagnetics methods for radiation and scattering problems, and collaboration with Chalmers industrial partners. His educational background includes: MSc Degree (Specialist) in Electrical Engineering from Bauman Moscow State Technical University (BMSTU) in 2011 PhD Degree (Eng.) in "Antennas, Microwave Devices and Its Technology" from BMSTU in 2014 Dr. Vilenskiy's research spans multiple cutting-edge areas in microwave and antenna engineering, with particular emphasis on millimeter-wave and sub-THz frequency ranges. He specializes in reconfigurable intelligent surfaces (RIS), beam-steering technologies, and integrated antenna solutions for next-generation wireless communication systems. His work bridges theoretical electromagnetics with practical implementation challenges, often involving close collaboration with industry to address real-world telecommunications and radar applications. His expertise encompasses both novel antenna architecture design and associated microwave integrated circuits, with significant contributions to mmWave phased arrays and wireless power transfer systems. Analysis of his recent publications reveals a strong and consistent focus on millimeter-wave antenna systems, particularly in developing reconfigurable intelligent surfaces for 5G/6G applications, advanced beamforming techniques, and innovative antenna array architectures. His research spans frequencies from W-band (75-110 GHz) into the sub-THz range, addressing critical challenges in high-frequency wireless communication systems. The publications demonstrate a consistent emphasis on practical implementation, with many papers detailing circuit models, measurement techniques, and experimental validation of theoretical concepts across multiple application domains including satellite communications, wireless backhaul, and quantum computing interfaces. Dr. Vilenskiy has been actively involved in multiple significant research projects: Low-Thermal-Conductance and High-Density Microwave Interconnects for Cryogenic Quantum Computers (2024-2025) Energy Efficient, Beamforming Antenna-IC Integration Solutions for Future 100+GHz Telecommunication Systems (2021-2023) Antenna technologies for beyond 5G Wireless Communication (2020-2025) MyWave - Efficient Millimetre-Wave Communications for mobile users (2019-2023) Integrated Antenna Arrays (2016-2023) Prior to joining Chalmers, Dr. Vilenskiy worked at Samsung Research Institute Russia from 2011-2019 in various engineering roles including research engineer, expert engineer, and project leader. During 2015-2019, he also held a part-time Associate Professor position at BMSTU where he coordinated the MSc course "Applied Electrodynamics of Composite Media". His industry experience in mobile communication, automotive radar, robotics, and wireless power transfer provides valuable practical insights that complement his academic research in antenna systems.
Zhenyu Li is a doctoral student at the KTH Royal Institute of Technology in the Division of Communication Systems . He earned his bachelor's degree from Xidian University (2021) and a master's degree from KTH (2023). His research focuses on wireless network design assisted by reconfigurable intelligent surfaces (RISs) and resource management in RIS-enhanced networks to address requirements in diverse communication scenarios. B.Sc., Xidian University, Xi'an, China (2021) M.Sc., KTH Royal Institute of Technology, Stockholm, Sweden (2023) Research Interests : Advancing wireless communication through RIS technologies, optimizing mmWave network coverage in indoor dense spaces, and developing resource management strategies for next-generation networks. His work bridges theoretical modeling with practical applications in high-frequency communication systems. Publications : Recent contributions include theoretical and applied studies on mmWave channel modeling, self-sustainable metasurface-assisted systems, and mixed deployment strategies for RISs in indoor environments. These works emphasize performance optimization and energy efficiency. Contact : zhenyuli@kth.se
Henk Wymeersch is a Professor at Chalmers University of Technology's Communication Systems department, part of the School of Electrical Engineering. He leads the Radio Localization and Sensing research area and is affiliated with the FORCE Research Center on optical communication. His work focuses on algorithm design and system analysis for 5G/6G systems, emphasizing integrated communication, localization, and sensing. Notable contributions include RIS-aided positioning, bistatic/multistatic sensing, and joint communication-sensing frameworks. Research Interests: His primary areas include Reconfigurable Intelligent Surfaces (RIS), 6G positioning/sensing, integrated ISAC systems, mmWave/V2X positioning, and distributed radar networks. Recent work explores challenges in near-field localization, OFDM-based ISAC under hardware impairments, and privacy-preserving techniques for localization systems. Publications: Over 485 publications (2025) highlight his expertise in mmWave SLAM, RIS applications, and 6G enablers. Recent trends focus on 6G sustainability, distributed ISAC architectures, and leveraging RIS for robust localization in cluttered environments. Affiliations: Active in the Communication Systems Group and FORCE Research Center. Collaborates internationally on Hexa-X 6G projects and standards development.
Federico Ciccozzi is an Associate Professor in Computer Science at Mälardalen University's School of Innovation, Design and Engineering, where he leads the ASSO research group and the VR ORPHEUS project. He also serves as Head of Research Education in Computer Science and Electronics at the university. His academic journey includes a M.Sc. in Global Software Engineering (via the GSEEM program) and a Ph.D. in Computer Science and Engineering from Mälardalen University (2014), followed by promotion to Docent (Associate Professor) in 2017. Education: M.Sc. in Global Software Engineering (GSEEM program, joint between Mälardalen, L'Aquila, and Amsterdam) Ph.D. in Computer Science and Engineering (Mälardalen University, 2014) Docent (Associate Professor) in Computer Science (Mälardalen University, 2017) His research focuses on model-driven engineering, robotics software engineering, and software architecture. He has pioneered work in blended modeling approaches, EAST-ADL extensions, and formal verification of complex systems, particularly in robotics and automotive domains. Recent projects emphasize industrial collaborations, such as optimizing ROS2 multi-robot systems and enhancing safety-critical software through model-based methodologies. Research Contributions: Developed frameworks for transforming surface languages into augmented EAST-ADL models Advanced blended modeling techniques across JetBrains MPS and Eclipse tools Examined consistency management in industrial model-driven development Edited special issues on model-driven engineering and low-code development His work bridges academic innovation and industrial practice, with notable projects like the Rubus Component Model for vehicular systems. He actively organizes workshops (e.g., RoSE, ASYDE) and contributes to standardization efforts like the Portable Test and Stimulus Standard. Labs/Teams: Leads the ASSO research group, focusing on advanced software engineering methodologies and robotics systems development.
Ming Xiao is an Associate Professor in the Division of Information Science and Engineering at KTH Royal Institute of Technology's School of Electrical Engineering and Computer Science (EECS). He is affiliated with the Digital Futures Faculty and leads research in wireless communications, machine learning, and network coding. His work focuses on 6G networks, distributed learning, and secure communications. Affiliations: KTH EECS, Digital Futures, Swedish Research Council, EU Horizon Europe projects Roles: Editor for IEEE Transactions on Wireless Communications, TPC Co-Chair for VTC Fall Research Interests: Dr. Xiao's expertise spans wireless communication systems (e.g., mmWave, NOMA), network coding, machine learning applications in communications, and energy-efficient distributed systems. He has pioneered work on intelligent reconfigurable surfaces (RIS), federated learning in edge computing, and integrated sensing-communications (ISAC). Projects: Ongoing EU-funded projects include ASCENT (autonomous vehicular networks) and COVER (unmanned aerial vehicles for emergency response). Past projects include 6G channel coding and intelligent energy management in smart communities. Grants: Over 12 active grants from VR, EU Horizon Europe, FORMAS, STINT, and VINNOVA Awards: IEEE Vehicular Technologies Society Best Paper Award (2023), World Top 2% Researcher (2020–2023), Highly Cited Researcher in Computer Science/Engineering. Labs/Teams: Leads the KTH Digital Futures initiative, collaborates with RISE Research Institutes, and manages a team of 12 PhD students/postdocs focusing on 6G, distributed ML, and secure IoT.
Aamir Mahmood is an Associate Professor at the Department of Computer and Electrical Engineering at Mid Sweden University and an Adjunct Professor at NUST, Pakistan. His research focuses on 5G/6G wireless communication , Industrial IoT , RF interference management , and time synchronization . Education: B.Sc. NUST (2002), M.Sc. and Ph.D. Aalto University (2008, 2014) Collaborations: Nokia Research Center, IEEE Sweden VT-COM-IT His recent work explores STAR-RIS for 6G IoT, NOMA for industrial networks, and deep reinforcement learning in MEC systems. Key trends include ultra-reliable communication for industrial automation and interference management in heterogeneous networks. Awards : IEEE WCNC’13 Best Paper Ericsson Research Foundation Grant Nokia Foundation grant STINT grants IEEE Sweden VT-COM-IT Best Student Journal Paper Award Swedish Institute funding Interreg Aurora funding Awarded 80+ peer-reviewed publications and active in IEEE leadership roles.
Rob Maaskant is a Professor at Chalmers University of Technology in the Department of Communication, Antennas and Optical Networks . His research focuses on advanced antenna systems, particularly in mm-Wave and massive MIMO technologies, with significant contributions to full-duplex communication, reconfigurable intelligent surfaces (RIS), and hybrid over-the-air (OTA) testing environments. Key Research Themes : Antenna array optimization, self-interference mitigation, contactless IC integration, and beamforming for satellite and terrestrial communication systems. Recent Publications (2025-2023) highlight innovations in neural network-driven antenna synthesis, back-scattering RIS characterization, and wideband quadraxial feed designs, emphasizing practical implementations in mm-Wave and 5G/6G systems. Collaborative Projects include hybrid test chamber development with colleagues like Oleg Iupikov and Pavlo Krasov, and co-design of power amplifier-integrated arrays with Marianna Ivashina.
Xuesong Cai is an Associate Professor (Docent) in the Department of Electrical and Information Technology at Lund University, Sweden. He serves as an Associate Senior Lecturer and holds roles in ELLIIT and the NEXTG2COM Competence Centre. His research focuses on radio propagation, millimeter-wave (mmWave), and terahertz (THz) channel modeling for 5G and beyond wireless systems. He has published over 70 peer-reviewed papers and leads projects like 'Breaking the Barriers of Terahertz Communications.' Education: B.S. and Ph.D. (Hons.) from Tongji University (2013, 2018), with internships at Huawei and postdocs at Aalborg University, Nokia Bell Labs, and Lund University. Recognized with awards including the EU Marie Skłodowska-Curie Fellowship and Swedish Research Council grants. Key research interests include high-resolution parameter estimation, channel emulation, and radio-based localization. He is an Associate Editor for IEEE journals and a Senior IEEE Member. Projects span distributed MIMO, channel sounding technologies, and 6G initiatives. Supervised research students include Xu Y. and Al-Ameri A. His work contributes to UN SDGs related to innovation and infrastructure. Current grants include funding from the Crafoord Foundation and Swedish Research Council.
