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Mikael SkoglundView profile

Professor

• Information theory
• Communications
• Signal processing
• +5 more

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.

Alexios Balatsoukas-StimmingView profile

Assistant Professor

• VLSI Circuits for Communications
• Error-Correction Coding Theory
• Non-Linear Signal Processing
• +3 more

Dr. Alexios Balatsoukas-Stimming is an Assistant Professor in the Electronic Systems group of the Department of Electrical Engineering at Eindhoven University of Technology (TU/e). His research focuses on the intersection of communications, hardware design, and machine learning, with specific interests in VLSI circuits for communications, error-correction coding, non-linear signal processing, and massive MIMO systems. He also explores applications of approximate computing and machine learning in communication signal processing. Education: Dipl.-Ing. (2010) Electronics and Computer Engineering, Technical University of Crete MSc (2012) Electronics and Computer Engineering, Technical University of Crete PhD (2016) Computer and Communications Sciences, École polytechnique fédérale de Lausanne (EPFL) Research Interests: His work emphasizes interdisciplinary approaches to improve communication systems' speed, reliability, and energy efficiency. Key areas include VLSI implementation of coding algorithms, belief propagation decoding, and leveraging machine learning for signal processing tasks. He has contributed to advancements in polar codes, LDPC codes, and full-duplex communication systems. Affiliations: Holds an honorary adjunct assistant professor position at Rice University (USA). Active in conferences and journals as a committee member, founding editor (IEEE journal), and reviewer. Labs/Teams: Associated with the Signal Processing for Communications Lab , Electronic Systems group, Center for Wireless Technology Eindhoven , and the EAISI initiative at TU/e.

• Wireless Networks
• Applied Mathematics
• Quantum Information Theory
• +3 more

Prof. Holger Boche is a Full Professor of Theoretical Information Technology at the Technical University of Munich (TUM), leading the ACES Lab and TQSD Working Group. He holds dual doctorates in Engineering (TU Dresden) and Mathematics (TU Berlin), with prior roles at TU Berlin and the Fraunhofer Institute. His research focuses on wireless networks, applied mathematics (optimization/game theory), and quantum information theory. Affiliations: TUM School of Computation, Information and Technology; Member of German National Academies (Nationale Akademie der Wissenschaften Leopoldina, Berlin-Brandenburgische Akademie) Research interests include network information theory, quantum communication, and computability limits in AI. Notable awards: IEEE Fellowship (2011), Leibniz Prize (2008), Vodafone Innovation Award (2006). Active in 6G research, including molecular communication, quantum networks, and integrated sensing-communication systems. Awards and grants: Over 20 academic grants including BMBF-funded 6G-life hub, Exzellenzcluster MCQST/CASA. Supervised 25+ PhD/Master students. Key publications in IEEE Transactions on Information Theory, Signal Processing, and quantum communication journals.

Homa NikbakhtView profile

Research Fellow

• Wireless Communication
• Information Theory
• Network Coding
• +4 more

Homa Nikbakht is a Visiting Postdoctoral Research Associate at Princeton University, affiliated with the Weizmann Institute of Science. She operates within the realm of wireless communication and information theory, focusing on integrated sensing and communication (ISAC), network coding, and adversarial error correction. Role: Postdoctoral Fellow Affiliation: Weizmann Institute of Science Office: 305 Friend Center, Princeton University Adviser: H. Vincent Poor Her research centers on wireless communication systems, particularly addressing challenges in low-latency and ultra-reliable communication, stochastic network models, and finite blocklength regime analysis. She explores the integration of sensing and communication in multi-target environments and develops advanced coding strategies for adversarial channels. The 15 most recent articles highlight her work in ISAC systems, heterogeneous delay constraints, and network coding. Key trends include the application of reinforcement learning to ISAC, analysis of mixed-delay traffic in 5G/6G systems, and optimization of coding schemes for time-sensitive targets. As a visiting researcher at Princeton University's Friend Center, she contributes to the advancement of communication protocols and collaborates within the institute's research teams. Her work addresses critical challenges in future-generation networks and secure data transmission.

Yong Jin Daniel KimView profile

Associate Professor

• Digital Communications
• Information Theory
• Channel and Source Coding
• +3 more

Yong Jin Daniel Kim is an Associate Professor of Electrical and Computer Engineering at Rose-Hulman Institute of Technology. His expertise spans digital communications, information theory, channel coding, and signal processing. He teaches courses in wireless systems, signals and systems, and circuits. Education: PhD in Electrical Engineering, McGill University (2013) MS in Electrical Engineering, McGill University (2007) BA in Mathematics/Computer Science, Simon Fraser University (2005) Research Interests: Dr. Kim focuses on advancing communication systems through innovative signal design and coding strategies. His work emphasizes characterizing multi-terminal network capacity limits, optimizing signal mappings in noisy channels, and developing near-capacity coding systems. He has pioneered research on Faster-than-Nyquist (FtN) signaling and MIMO precoding for next-generation broadcast systems. Publications Trends: His recent work explores 6G architecture via Rate-Splitting Multiple Access, superposition transmission in MIMO-OFDMA systems, and interference mitigation techniques. A recurring theme is maximizing spectral efficiency through advanced coding and precoding algorithms. Teaching & Advising: He advises on IEEE student organizations and fosters student engagement in research projects. His teaching spans digital communications, information theory, and signal processing fundamentals. No specific grants or awards are listed in his profile. Labs/Teams: He developed a wireless communication testbed using software-defined radio, emphasizing practical implementation of theoretical concepts. His research team collaborates on FtN signaling and MIMO system optimization.

Raymond KnoppView profile

Professor

• Wireless Communications
• 5G and 6G Networks
• Software-Defined Radio
• +12 more

Raymond Knopp is a Professor and Head of the Communication Systems Department at EURECOM, a renowned research and higher education institution in Sophia Antipolis, France. He is a leading figure in wireless communication systems, with a focus on 5G/6G, OpenAirInterface (OAI), software-defined radio, and physical layer innovations. His work bridges theoretical foundations with practical implementations through open-source platforms and real-world testbeds. His research interests span a wide spectrum, including wireless communications, 5G and 6G networks, software-defined radio, MIMO systems, channel coding, signal processing, and ultra-reliable low-latency communications (uRLLC). He is particularly known for his contributions to OpenAirInterface, a pivotal open-source platform for wireless research and development. His recent work explores UAV-aided localization, time synchronization, reproducible experimentation, and the evolution of 6G technologies. Knopp's publication record is extensive and recent, with research trends showing a strong focus on open-source wireless innovation, testbed development, and performance evaluation in real-world scenarios. His work emphasizes reproducibility, open science, and the transition from theoretical concepts to deployable systems, particularly in the context of 5G NR and future 6G networks. Themes include positioning, uRLLC, hardware calibration, and CI/CD for wireless platforms. His scientific recognition includes a Best Student Paper Award at the European Wireless Conference 2011 for his work on interference-aware receivers in mixed CSIT channels, highlighting his contributions to interference management in wireless networks. Raymond Knopp advises students and leads a research team at EURECOM, contributing to both academic and industry-oriented projects. He teaches graduate courses in 'Digital Communication' and 'Signal Processing Theory and Technologies' and participates in continuing education for industry professionals. His work is supported by numerous grants and collaborations, particularly around the OpenAirInterface ecosystem and European research initiatives. His research is conducted within the Communication Systems Department at EURECOM, where he leads a team focused on next-generation wireless technologies. The lab is deeply involved in the OpenAirInterface community and contributes to major testbeds like SLICES-RI, enabling cutting-edge experimentation in beyond-5G networks.

• Error-Correction Coding
• FPGA/ASIC Design
• Multicore Architectures
• +3 more

Christophe Jégo is a researcher specializing in hardware/software co-design for communication systems, with affiliations suggesting connections to Université de Bordeaux's College of Engineering. His core expertise spans error-correction coding (LDPC, polar, turbo codes), FPGA/ASIC implementations, and high-performance computing architectures for telecommunications. Research interests focus on: Hardware acceleration of communication algorithms (LDPC/polar decoders, FFT processors) Multicore/GPU optimization for real-time signal processing RTL design automation tools and high-level synthesis frameworks 5G physical layer implementations including MIMO detection Resource-constrained embedded systems for IoT and space applications Publication analysis reveals strong emphasis on: FPGA implementations of communication blocks (67% of recent works) Parallel processing techniques for LDPC/polar decoding (2014-2025) Open-source tool development for hardware design (AFF3CT, Odatix) Cross-layer optimization from algorithms to silicon implementation

Minsung KimView profile

Assistant Professor

• Quantum Computing
• Wireless Communications
• Artificial Intelligence
• +3 more

Minsung Kim is an Assistant Professor at the Department of Computer Science and WINLAB at Rutgers University , where he leads the EXceL: NextG Wireless and Emerging Computing Systems Laboratory . He previously served as a Postdoctoral Associate at Yale University and earned his Ph.D. in Computer Science from Princeton University , supported by the Siebel Scholars Fellowship and Qualcomm Innovation Fellowship . Research Focus: Quantum and quantum-inspired computing systems for next-generation wireless networks, particularly accelerating baseband processing via quantum optimization techniques. His work bridges wireless communication, AI, and emerging computational paradigms like Ising machines and MIMO systems. Scientific Awards: Prof. Chin Ok Lee & Ms. Kwanghee Kim Early Career Award (2025) Siebel Scholars Fellowship (2024) KOCSEA Moon-Jung Chung Scholarship (2023) Qualcomm Innovation Fellowship (2021) Advising: Mentors Ph.D. students Shuo Huang and Zeqiao Zhou , and postdoc Byungjun Kim . Previously advised visiting students at Yale and Princeton.

Karystinos GeorgiosView profile

Professor

• Telecommunications theory and systems
• Coding theory
• Adaptive signal processing
• +7 more

George N. Karystinos is a Professor at the School of Electrical and Computer Engineering , Technical University of Crete , where he has served since 2005. Since 2021, he also holds the position of Dean of the School. Previously, he was an Assistant Professor at Wright State University (2003–2005). Education: Ph.D. in Electrical Engineering, State University of New York at Buffalo , 2003 Diploma in Computer Engineering and Science, University of Patras , 1997 Additional studies in Piano, National Conservatory of Athens and State University of New York at Buffalo Research Interests: His research spans telecommunications theory and systems , coding theory , adaptive signal processing , wireless communications , MIMO systems , neural networks , and optimization with limited data . He is particularly known for contributions to L1-norm PCA , noncoherent detection , RFID systems , and code design for CDMA . Scientific Awards: IEEE Transactions on Neural Networks Outstanding Paper Award (2003) IEEE ICT Best Paper Award (2001) IEEE ISWCS Best Paper Award (2013) IEEE ICASSP Best Student Paper Award (2015) IEEE RFID-TA Second Best Student Paper Award (2011) IEEE MOCAST Best Student Paper Award (2018) Laboratory and Teaching: He leads research at the Telecommunications Laboratory and teaches courses such as Signals and Systems , Information and Code Theory , and Probability and Random Process Theory . Grants and Projects: While specific grant details are not listed, his extensive publication record and award history indicate active participation in funded research projects, particularly in wireless communications and signal processing.

• Telecommunications
• Compressive Sensing
• Cognitive Radio
• +4 more

Ricardo Blasco-Serrano is a researcher affiliated with KTH Royal Institute of Technology , specifically within the School of Electrical Engineering (EES) and the Communication Theory department. His work focuses on telecommunications , with emphasis on compressive sensing , cognitive radio , and network coordination . He has contributed to theoretical frameworks for interference management and sparse signal recovery. Education : Doctorate in Telecommunications from KTH Royal Institute of Technology (2013). His research explores the tradeoff between measurement rates and estimation accuracy in compressive sensing, interference coordination in cognitive radio channels, and polar codes for network compression. Key collaborations include work with Ragnar Thobaben, Mikael Skoglund, and Eduard Jorswieck, supported by EU FP7 grant 257626. Notable publications include work on vehicle-to-everything (V2X) communication , partial support recovery , and MISO cognitive channel strategies . His methods have implications for machine-to-machine communication and network densification .

• Signal Processing
• Information and Coding Theory
• Communication
• +6 more

Assoc. Prof. Dr. Ferkan Yılmaz is an Associate Professor at Istanbul Technical University's Faculty of Electrical and Electronics Engineering, Department of Electronics and Communication Engineering. With a career spanning academia, telecommunications R&D, and forensic expertise, his work focuses on wireless communications, signal processing, and machine learning applications in network optimization. Education Doctorate: Electronic Engineering, Gebze Technical University (2002) MSc: Electronics and Communications Engineering, Istanbul Technical University (2000) BSc: Electronics and Communication Engineering, Yildiz Technical University (1993) His research explores advanced wireless technologies including 5G/6G networks, federated learning over fading channels, MIMO systems with reconfigurable intelligent surfaces, and LoRa applications in LEO satellite communications. Recent projects include a Java-powered 5G/6G simulation platform and RSSI-based indoor positioning systems. Key trends in his publications emphasize fading channel modeling , machine learning for communication systems , and next-generation wireless protocols . His work bridges theoretical analysis with practical implementations in telecommunications. Scientific Recognition Bronze Medal, Istanbul International Invention Fair (ISIF'21) for 'Positioning System' Patent Yılmaz holds active IEEE and IEEE Communications Society memberships, and has contributed to institutional accreditation (MÜDEK), international cooperation programs, and forensic computer science. His collaborations span Vodafone, TÜBİTAK, and leading universities like KAUST and Texas A&M at Qatar.

Walid SaadView profile

Professor

• Wireless Networks
• 5G/6G Systems
• Machine Learning
• +7 more

Walid Saad is a Professor of Electrical and Computer Engineering and the Next-G Wireless Lead at the Virginia Tech Innovation Campus. He leads the Network sciEnce, Wireless, and Security (NEWS) laboratory, focusing on wireless networks, machine learning, quantum communications, and cybersecurity. His research spans 5G/6G systems, game theory, UAVs, and semantic communications. Education: Ph.D. (University of Oslo, 2010), M.E. (American University of Beirut, 2007), B.E. (Lebanese University, 2004). Key awards include the IEEE Fellow distinction, NSF CAREER Award (2013), and multiple best paper awards. He serves as an Area Editor for the IEEE Transactions on Communications and Editor-in-Chief of the IEEE Transactions on Machine Learning in Communications and Networking. Research interests emphasize resilient networks, quantum-enabled systems, and AI-driven communication protocols. His work addresses challenges in next-generation wireless infrastructure and networked cyber-physical systems. Advising and grants include leadership in the NSF-funded NEWS lab and collaborations with the Office of Naval Research. He has been annually recognized as a Clarivate Web of Science Highly Cited Researcher since 2019. Labs/Teams: NEWS laboratory, Virginia Tech Innovation Campus initiatives.

Frans M.J. WillemsView profile

Professor

• Information Theory
• Data Compression
• Digital Communication
• +5 more

Frans M.J. Willems is a Full Professor Emeritus at Eindhoven University of Technology (TU/e), affiliated with the Signal Processing Systems group within the Department of Electrical Engineering. His primary research focuses on information theory, including multi-user communication systems, data compression, digital communication, biometrics, and privacy/security aspects of information systems. Education: MSc in Electrical Engineering (1979), TU/e PhD in Mathematics (1982), University of Leuven Research Contributions: Willems has authored over 295 publications and holds multiple patents. His work spans foundational topics like context-tree weighting algorithms, biometric privacy frameworks, and MIMO communication systems. He served as IEEE Transactions editor (1988–2006) and became an IEEE Fellow in 2005. Projects: DIGI-OPT : Optical fiber communication technologies (2018–2026) MyWave : Energy-efficient massive MIMO systems (2019–2023) RESCURE : Cybersecurity for critical infrastructure (2018–2020) Awards: IEEE Fellow (2005). Advisory Roles: Advised Philips Research on information theory applications (1999–2018). Supervised 35 students and contributed to 11 major research projects. Labs/Teams: Leads the Signal Processing Systems group at TU/e, collaborating on topics like nonlinear optical channels and secure communication systems.

Zhiyuan YanView profile

Professor

• Coding Theory
• Wireless Communications
• VLSI Design
• +4 more

Zhiyuan Yan is a Professor and Associate Chair in the Department of Electrical and Computer Engineering at Lehigh University. He holds a B.E. from Tsinghua University and M.S./Ph.D. degrees from the University of Illinois at Urbana-Champaign. His research focuses on coding theory, VLSI design, wireless communications, and embedded systems. He is a Senior Member of the IEEE and received the NSF CAREER Award in 2011. Educational Background: B.E., Electrical Engineering, Tsinghua University M.S., Electrical Engineering, University of Illinois at Urbana-Champaign Ph.D., Electrical Engineering, University of Illinois at Urbana-Champaign Research Interests: His work spans coding theory (including polar codes and LDPC codes), VLSI implementations for communication systems, and cybersecurity through physical unclonable functions (PUF). He explores neuromorphic computing, memristive neural networks, and hardware-efficient error correction techniques. His contributions include efficient decoder architectures and distributed storage solutions. Scientific Awards: 2011: NSF CAREER Award Advising & Grants: While specific student names aren't listed, his research has been supported by multiple grants. His lab focuses on collaborative projects between academia and industry, emphasizing practical implementations of theoretical advancements. Lab & Teams: His research team develops cutting-edge VLSI systems, neural network accelerators, and secure communication protocols. Collaborations include work on memristive hardware and neuromorphic computing architectures.

Xinrong LiView profile

Professor

• Wireless Communications
• Sensor Networks
• Signal Processing
• +7 more

Xinrong Li is a Professor in the Department of Electrical Engineering at the University of North Texas. He serves as the Associate Department Chair and holds an office in Discovery Park B231. His research focuses on wireless communications, sensor networks, signal processing, and IoT applications with emphasis on indoor geolocation, environmental monitoring, and smart systems development. He has contributed to advancements in Bluetooth mesh networking, thermal imaging-based occupancy detection, and additive manufacturing for aerospace components. His work integrates machine learning with sensor systems for real-time data analysis. Dr. Li has extensive experience in wireless sensor network design, including low-cost environmental monitoring systems and Raspberry Pi/Arduino-based implementations. He has explored energy-efficient protocols, time synchronization algorithms, and anti-collision RFID systems. His research also spans bioenergy systems, particularly gas production modeling during biomass pyrolysis using Gaussian functions. Key contributions include pioneering methods in indoor geolocation via UWB and RSS measurements, super-resolution TOA estimation, and cooperative localization algorithms. He has published over 60 articles since 2000, focusing on topics like MIMO systems, secrecy diversity in wireless channels, and compressive sampling for sensor networks. His work bridges theoretical foundations with practical applications in smart cities, agriculture automation, and environmental sustainability. Dr. Li has led projects in distributed energy management for microgrids and developed novel decoding methods for space-time coded MIMO systems. His educational contributions include curriculum design for project-oriented electrical engineering programs emphasizing lifelong learning. He maintains active collaborations in international research networks and serves on editorial boards for smart networking journals.