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.
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)
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)
Zinat Behdad is a Researcher at the Division of Communication Systems within the School of Electrical Engineering and Computer Science (EECS) at KTH Royal Institute of Technology , Stockholm, Sweden. Her work bridges wireless communications and sensing technologies. Education: Master of Science in Electronics and Communications Engineering, Isfahan University of Technology, Iran (2017) Research Interests: Wireless Communications Integrated Sensing and Communication (ISAC) Cell-Free Massive MIMO URLLC (Ultra-Reliable Low-Latency Communication) Energy Efficiency RF Energy Harvesting Article Trends: Her publications emphasize Cell-Free Massive MIMO systems, with a focus on integrated sensing and communication (ISAC) , mmWave technology , and energy efficiency . Key areas include target detection , power allocation , and URLLC optimization , reflecting her work on balancing sensing accuracy and communication reliability. The 2018 paper explores RF energy harvesting in IoT networks through cooperative strategies. Affiliation and Lab: She is based at the Division of Communication Systems , KTH EECS, working on advanced wireless technologies with applications in security, energy sustainability, and 5G/6G networks.
Joakim Jaldén is a Professor at the Division of Information Science and Engineering, School of Electrical Engineering and Computer Science (EECS), KTH Royal Institute of Technology. He holds a Ph.D. in Electrical Engineering from KTH (2007) and completed post-doctoral studies at Vienna University of Technology (2007-2009). With affiliations at Stanford University and ETH Zürich, his academic journey reflects global expertise. 2002: M.Sc. in Electrical Engineering, KTH 2007: Ph.D. in Electrical Engineering, KTH 2007-2009: Post-Doctoral Researcher, Vienna University of Technology Jaldén's research spans Signal Processing , Wireless Communications , and Biomedical Data Analysis . He pioneered MIMO communications and later developed ELISpot/FluoroSpot analysis algorithms commercialized by Mabtech AB. His work on cell migration tracking (IEEE ISBI 2012) and distributed optimization (ECO-PANDA method) demonstrates interdisciplinary impact. Key publication trends include Hidden Markov Models for DNA sequencing, Reinforcement Learning in communication systems, and Low-Complexity Beamforming for MU-MIMO networks. His 2024 work on mmWave MIMO beam coherence showcases continued leadership in wireless channel modeling. Scientific recognition includes: IEEE Signal Processing Society 2006 Young Author Best Paper Award Ingvar Carlsson Career Award 2009 (Swedish Foundation for Strategic Research) IEEE ISBI 2012 Best Paper Award Bitplane Awards (2013-2015) for cell tracking challenges As Program Director of KTH's 5-year Electrical Engineering Degree Program (CELTE) since 2016 and Vice-Chair of EECS Faculty Board , Jaldén leads academic initiatives. His collaborations with industry (e.g., Mabtech AB) and roles as examiner for advanced courses in communication systems highlight his educational impact.
Ki Won Sung is an Associate Professor at KTH Royal Institute of Technology, specializing in wireless communication systems and network optimization. His research focuses on 5G/6G technologies, integrated sensing-communication systems, cell-free massive MIMO, and stochastic network modeling. Research interests include: Wireless network architecture design and optimization Resource allocation in multi-user communication systems Integrated sensing and communication (ISAC) Stochastic modeling of ultra-dense networks Energy-efficient communication protocols Millimeter wave and massive MIMO systems His recent publications demonstrate strong emphasis on beyond-5G systems, particularly cell-free massive MIMO deployments and URLLC applications. Research trends show consistent focus on network optimization through advanced signal processing, geometric decomposition methods, and cross-layer protocol design. Teaching activities include course management and examination for multiple degree projects and core courses: Communication Systems (IK2200) Mathematical Statistics (IX1501) Mobile Networks and Services (IK2560) Radio Networks (IK2510) Stochastic Simulation (II2206) Wireless Systems (IK1330)
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.
Aleksei Fedorov is a Researcher at the Department of Communications Engineering, Lund University, affiliated with the LTH Profile Area on AI and Digitalization and ELLIIT. His work contributes to UN Sustainable Development Goals related to Industry, Innovation, and Infrastructure. Fedorov specializes in advanced communication systems, antenna design, and sensing technologies. Research interests include Massive MIMO systems, antenna array characterization, maritime channel modeling, and 6G network deployments. He has collaborated on projects such as SIVERT (Swedish Government-funded simulation of wireless technologies) and developed open-source tools for network simulation. Recent contributions focus on integrating communication and sensing in industrial environments, autonomous vehicle safety frameworks, and practical 6G solutions. His work bridges theoretical research with practical implementations, emphasizing real-world applications in industrial IoT and vehicular systems. Notable collaborations include projects with Linköping University (via ELLIIT) and international conferences on antennas, propagation, and intelligent vehicles. Fedorov's research emphasizes cross-disciplinary approaches to next-generation wireless systems.
José Mairton Barros da Silva Jr. is an Assistant Professor in the Division of Computer Systems at Uppsala University, Sweden, starting April 2023. Prior to this, he was a Marie Skłodowska-Curie Postdoctoral Fellow jointly at Princeton University (Department of Electrical and Computer Engineering) and KTH Royal Institute of Technology (Division of Network and Systems Engineering). He holds a Ph.D. in Electrical Engineering and Computer Science from KTH, supervised by Carlo Fischione and Gábor Fodor, and BSc and MSc degrees in Telecommunications Engineering from the Federal University of Ceará, Brazil. Ph.D. in Electrical Engineering and Computer Science, KTH Royal Institute of Technology, 2019 MSc in Telecommunications Engineering, Federal University of Ceará, 2014 BSc in Telecommunications Engineering (with honors), Federal University of Ceará, 2012 His research lies at the intersection of wireless communications and machine learning, with a focus on federated learning, communication efficiency, full-duplex systems, millimeter-wave communications, and vehicular networks. He investigates how to optimize distributed machine learning over constrained wireless channels, leveraging techniques in signal processing, optimization, and network design to improve efficiency, fairness, and scalability. The recent publications highlight a strong trend toward integrating machine learning with wireless system design, particularly in enabling efficient federated learning over-the-air, reducing communication overhead via quantization and lazy aggregation, and enhancing full-duplex mmWave systems through low-resolution hardware and smart beamforming. His 2022 survey on Wireless for Machine Learning serves as a foundational reference in the field. He has been recognized with prestigious awards, including: Marie Skłodowska-Curie Fellowship (2022–2025) Grant from the Ericsson Research Foundation (2022) He has been actively involved in research leadership and dissemination, having served as Secretary for the Full-Duplex and Self-Interference Cancellation Emerging Technologies Initiatives (2018–2021), co-chaired workshops at IEEE GLOBECOM, and delivered tutorials on 'Wireless for Machine Learning' at major IEEE conferences (ICASSP, PIMRC, ICC, GLOBECOM). He has also taught in the KTH-Ericsson Data Science Micro Degree Program. His research has been supported by competitive grants and collaborative institutions including Ericsson, Princeton, and KTH. He contributes to open science through GitHub, where he shares code for full-duplex mmWave beamforming algorithms. He has been affiliated with research labs and teams at KTH, Princeton, GTEL (Brazil), and Rice University, working closely with leading experts in communication theory and machine learning. His future work is expected to advance intelligent, energy-efficient, and scalable wireless systems for distributed AI.
Khac-Hoang Ngo is an Assistant Professor at the Division of Communication Systems, Department of Electrical Engineering, Faculty of Science and Engineering, Linköping University, Sweden, where he has been working since September 2024. Research Interests: His research focuses on fundamental and practical aspects of wireless communications and information theory. Key areas include massive random access, privacy in machine learning, age of information, MIMO systems, and noncoherent communications. His goal is to derive theoretical insights and translate them into efficient system designs for next-generation wireless networks. Publication Trends: His recent 2025 publications, primarily in arXiv, emphasize theoretical foundations and novel design approaches in noncoherent MIMO, over-the-air synchronization, and unsourced random access for IoT and massive connectivity scenarios. These works reflect a strong trend toward addressing scalability, energy efficiency, and low-latency challenges in future wireless systems using information-theoretic tools. Scientific Awards: Golden Globe Award in Science and Technology for under-35 Vietnamese researchers (2024) Best Paper Award, IEEE SSP Workshop (2023) Best Paper Award, ATC Conference (2021) Signal, Image & Vision Ph.D. Thesis Prize, France (2021) "Impact Science" Second Prize, CentraleSupélec (2021) Honda Young Engineers and Scientists Award, Japan (2013) Advising and Grants: There is no information available in the provided text regarding students he has advised or research grants he has received. However, given his recent appointment as Assistant Professor and strong publication and award record, he is likely to be building his research group and securing independent funding. Labs and Teams: While the specific lab or research group affiliation is not explicitly stated, his work is situated within the Division of Communication Systems at Linköping University, suggesting collaboration with researchers in communication theory, signal processing, and wireless networking.
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.
Dr. Venkatesh Tentu is a Post-Doctoral Researcher at the Department of Electrical Engineering, Chalmers University of Technology in Gothenburg, Sweden. His academic journey includes a Ph.D. and an integrated MTech degree from the Indian Institute of Technology (IIT) Kanpur, completed in 2024. His research focuses on cutting-edge advancements in wireless communication and intelligent systems, particularly in integrated sensing and communications, cell-free massive MIMO systems, UAV-based networks, convex optimization, and deep learning applications for next-generation (beyond 5G/6G) communication frameworks.
Mikael Skoglund is a Professor and Head of the Division of Information Science and Engineering at KTH Royal Institute of Technology. His academic roles include membership in the Executive Committee of Digital Futures, and leadership in projects such as Humanizing the Sustainable Smart City (HiSSx) and PERCy. He holds a Ph.D. from Chalmers University of Technology (1997) and became a Professor at KTH in 2003. Education: Ph.D. in Signal Processing, Chalmers University of Technology, 1997 Docent in Signal Processing, KTH, 2001 Professor of Communication Theory, KTH, 2003 Research Interests: Focus on Information Theory, Communications, Signal Processing, Networks, Security and Privacy, Quantum Information, and Inference & Learning. His work bridges theoretical foundations with applications in wireless systems, federated learning, and privacy mechanisms. Projects & Collaborations: Leading initiatives in integrated sensing and communication (ISAC), federated learning, and smart city technologies. Active in strategic research areas like ICT-TNG and Digital Futures. Awards: IEEE Fellow (2023). Students & Grants: Supervised over 40 Ph.D. and postdoc researchers. Notable students include Borja Rodríguez Gálvez (Ph.D. 2024) and Amirreza Zamani (Ph.D. 2023). Active in securing grants for projects like PERCy and HiSSx. Labs/Teams: Part of the Digital Futures research center and the Division of Information Science and Engineering at KTH, fostering interdisciplinary innovation in digital technologies.
Karl-Ludwig Besser serves as Assistant Professor in the Division of Communication Systems within Linköping University's Department of Electrical Engineering since January 2025. Previously, he completed a postdoctoral fellowship at Princeton University's Department of Electrical and Computer Engineering (March 2023–December 2024), following his 2022 PhD from Technische Universität Braunschweig. His academic foundation includes: Dipl.-Ing. in Electrical Engineering, Technische Universität Dresden (2018) PhD in Electrical Engineering, Technische Universität Braunschweig (January 2022) Dr. Besser's research centers on ultra-reliable communication systems , physical layer security under resource constraints , and copula-based modeling of channel dependencies . His work bridges theoretical information theory with practical machine learning applications, particularly in reconfigurable intelligent surfaces (RIS) and integrated sensing-communication (ISAC) systems. Recent publications demonstrate expertise in secret-key budget management for resilient networks and UAV swarm coordination using 3D beamforming techniques. Analysis of his 15 most recent publications (2024–2025) reveals three dominant themes: (1) RIS optimization using physics-informed neural networks addressing mutual coupling challenges, (2) fundamental limits of physical layer security in dependent fading channels with secret-key budgets, and (3) machine learning solutions for UAV mobility management and mmWave resource allocation. His work consistently targets ultra-reliable low-latency communication (URLLC) requirements for next-generation networks. As part of Linköping University's Communication Systems division, Dr. Besser contributes to research initiatives including Wireless Communications for Distributed Intelligence and Integrated Sensing and Communications (ISAC) . While specific grant details aren't documented in source materials, his research aligns with European 6G initiatives and national security-focused wireless projects. The division actively supervises 25+ PhD students across topics including drone swarm communication, energy-efficient signal processing, and smart city sensor networks, where Dr. Besser likely participates in student mentorship.
Anubhab Chowdhury is a Postdoctoral Research Fellow at Linköping University's Department of Electrical Engineering, working under Prof. Erik G. Larsson in the Communication Systems Group since July 2024. Previously, he completed his Ph.D. at the Indian Institute of Science (IISc) Bangalore under Prof. Chandra R. Murthy, defending his thesis on cell-free system optimization in June 2024. His educational background includes: Ph.D. in Electrical and Computer Engineering, Indian Institute of Science, Bangalore (2024) M.Tech. in Communication Systems, Indian Institute of Technology, Guwahati B.Tech. in Electronics and Communication Engineering, Jalpaiguri Government Engineering College Chowdhury's research centers on signal processing innovations for next-generation wireless systems. He specializes in developing cell-free massive MIMO architectures that integrate communication and sensing functionalities, with particular expertise in dynamic TDD protocols and full-duplex operations. His work tackles critical challenges in channel estimation, beamforming, and resource allocation for 6G networks, often addressing real-world constraints like drone interference and bi-directional communication requirements. Recent publications (2024-2025) reveal a sharp focus on practical implementations of integrated sensing-communication systems, with increasing emphasis on security applications like drone jamming. His output demonstrates consistent publication in top-tier IEEE venues, showing both theoretical depth and implementation awareness. His scientific recognition includes: Prime Minister Research Fellowship (2020-2023) Qualcomm Innovation Fellowship finalist (2023) IEEE Transactions on Communications Exemplary Reviewer (2022) IISc Best Presentation Award (2024) SPCOM Student Travel Grant (2024) Currently funded through Linköping University's institutional support, Chowdhury operates within Prof. Larsson's established research ecosystem. While not independently supervising students, he contributes to the group's mentoring activities and maintains active collaboration with IISc Bangalore. His work shows strong translational potential, particularly in defense-related wireless applications and next-generation cellular infrastructure. As a core member of Linköping's Communication Systems Group, he leverages the department's advanced wireless testbeds and computational resources. His research direction aligns with emerging 6G standards, focusing on scalable cell-free architectures that overcome traditional MIMO limitations through intelligent resource sharing and duplexing innovations.
