جست‌وجوی استاد و پژوهشگر

• Mobile and Wireless Communications
• Satellite Communications
• Underwater Communications
• +۷ مورد دیگر

Professor Jinhong Yuan is a distinguished academic serving as Professor of Telecommunications and Head of Telecommunications at the School of Electrical Engineering and Telecommunications, University of New South Wales (UNSW), Sydney, Australia. He received his B.E. and Ph.D. degrees in Electronics Engineering in 1991 and 1997, respectively. After serving as a Research Fellow at the University of Sydney from 1997 to 1999, he joined UNSW in 2000 where he has continued his academic career. Professor Yuan's extensive research portfolio spans multiple cutting-edge areas in telecommunications, with particular expertise in Mobile and Wireless Communications, Satellite Communications, Underwater Communications, and Integrated Communications and Sensing (ICAS). His work addresses critical challenges in IoT, Millimeter Waves, Information Theory and Error Control Coding, Turbo Coding and Iterative Processing, as well as Space-Time Coding, Processing and MIMO Techniques. His recent publications demonstrate significant contributions to Wideband CDMA, OFDM, and particularly to Orthogonal Time Frequency Space (OTFS) modulation systems which have emerged as promising technologies for 5G/6G communications and high-mobility scenarios. Analysis of Professor Yuan's recent publications reveals a strong trend toward addressing the challenges of high-mobility communications, particularly through OTFS modulation techniques. His work spans theoretical foundations in channel coding and information theory to practical implementations in satellite, underwater, and terrestrial wireless systems. The research demonstrates increasing integration of communications and sensing capabilities, reflecting the growing importance of Integrated Sensing and Communications (ISAC) in next-generation wireless networks. His publications consistently appear in top IEEE journals including IEEE Transactions on Communications and IEEE Transactions on Wireless Communications. Best Paper Award of IEEE Wireless Communications and Networking Conference (WCNC), Cancun, Mexico (2011) Best Paper Award of IEEE International Symposium on Wireless Communications Systems (ISWCS), Trondheim, Norway (2007) Four additional Best Paper Awards across various conferences One Best Poster Award Professor Yuan serves as the IEEE NSW Chair of the joint Communications/Signal Processing/Ocean Engineering Chapter and holds editorial positions as Associate Editor for both IEEE Transactions on Communications and IEEE Transactions on Wireless Communications. His research has resulted in over 300 journal and conference publications, two books, two book chapters, and 40 industrial reports. He is also a co-inventor of one patent on MIMO systems and two patents on low-density-parity-check (LDPC) codes, demonstrating the practical impact of his theoretical work.

Samir M. Perlazaمشاهده پروفایل

پژوهشگر

• Game Theory
• Information Theory
• Statistical Machine Learning
• +۶ مورد دیگر

Samir M. Perlaza is a Permanent Member of the Scientific Staff at INRIA, a Visiting Research Collaborator at Princeton University's Department of Electrical and Computer Engineering, and an Associate Researcher at Université de la Polynésie Française's GAATI Laboratory. He holds a PhD in Information Theory from Télécom ParisTech (2011) and has 15+ years of experience in game theory, information theory, and their applications. Affiliations : INRIA (2013–present), Princeton University (2012–present), Université de la Polynésie Française (2021–present) Education : HDR (2021), PhD (2011), MSc (2007), BSc (2005) Research Interests : Dr. Perlaza works at the intersection of Game Theory and Information Theory , focusing on Statistical Machine Learning , Smart Grid Data Integrity , Simultaneous Information & Energy Transmission , and Communication Network Optimization . His work bridges theoretical foundations (measure theory, probability) with practical applications in power systems and wireless networks. Notable Awards : INRIA Prime individuelle (2025–2028) Marie Sklodowska-Curie Fellowship (2015) IEEE Senior Member (2015) Finnish Society of Sciences and Letters Fellowship (2019) Advising & Collaborations : Mentors 4 PhD students and 1 postdoc across INRIA, University of Sheffield, and Princeton. Collaborates with H. Vincent Poor, Iñaki Esnaola, and Jean-Marie Gorce on projects like the EU-funded CYBERNETS and TESTBED2. Publications : His 15 most recent articles span Generalization Error , Stealth Attacks , Feedback in Networks , and Finite Blocklength Regime , appearing in IEEE Transactions on Information Theory , Entropy , and conferences like ISIT and ITW.

Yanina Shkelمشاهده پروفایل

استادیار

• Information Theory
• Privacy and Secrecy
• Data Compression
• +۳ مورد دیگر

Yanina Shkel is an Assistant Professor at École Polytechnique Fédérale de Lausanne (EPFL) in the School of Computer and Communication Sciences. She holds appointments in the Information Processing Group, SSC-ENS, and SIN-ENS departments, with her office located at INR 131. Her academic journey includes a PhD from the University of Wisconsin-Madison (2014), postdoctoral work at Princeton University and University of Illinois at Urbana-Champaign, and prior industry experience at Morningstar Inc. and 3M Corporate Research Labs. Her research spans theoretical aspects of data science with focus on information theory applications to privacy, secrecy, and data compression. Key areas include mathematical models for privacy-aware information processing, finite blocklength data compression, secret key generation from common randomness sources, and information-theoretic methods in cryptography. She employs tools from information theory, learning theory, coding theory, statistics, and cryptography in her work. Analysis of her recent publications reveals a strong trend toward privacy-preserving information processing, with maximal leakage emerging as a central metric across multiple applications including biometric security and data compression. Her work bridges theoretical foundations with practical applications in cryptography and secure information systems, demonstrating increasing focus on quantifiable privacy metrics and their fundamental limits. Swiss NSF Starting Grant Professor Shkel leads a research lab supported by the Swiss NSF Starting Grant, mentoring doctoral students including Coban Serhat Emre, Yadav Anuj Kumar, and Çadir Cemre. Her funding history includes the NSF Center for Science of Information Postdoctoral Fellowship during her postdoctoral research. She actively recruits PhD students through EPFL's EDIC program with emphasis on theoretical data science candidates. Her laboratory focuses on theoretical data science with particular emphasis on privacy-aware information processing systems, developing mathematical frameworks for quantifying and optimizing information leakage in various applications.

Visa Koivunenمشاهده پروفایل

استاد

• Statistical Signal Processing
• Wireless Communications
• Radar Signal Processing
• +۴ مورد دیگر

Visa Koivunen is the Aalto Distinguished Professor at Aalto University, Finland, with a global reputation in statistical signal processing and wireless communications. He has held prestigious positions including Academy Professor (2010-2014) and Principal Investigator for the SMARAD Center of Excellence (2002-2013). Education: D.Sc. (EE) from University of Oulu Current roles: Full Professor at Aalto University Visiting appointments: EPFL (2022-2023), Princeton University (2007, 2010-2013) His research spans statistical signal processing , radar systems , machine learning for radio frequencies , and integrated sensing and communications (ISAC) , with a focus on robust algorithms and practical applications. Recent work explores reinforcement learning for ISAC resource allocation and James-Stein estimator-based change detection. Notable awards include IEEE Fellow , EURASIP Fellow , Mannerheim Research Foundation Award , and Knight of the Order of the White Rose of Finland . Patents: 5 co-invented (US Patent Nos. 7787548, 7929937, 7949357, 20090197550, 20100120467) Publications: 490+ scientific papers, 116 peer-reviewed journal papers, h-index 60 Service: IEEE Fourier Award Committee, SPS Awards Board, NATO Radar panels

• Coding Theory
• Distributed Storage
• Caching Systems
• +۴ مورد دیگر

Alexandre Graell i Amat is a Professor in the Communication Systems group at Chalmers University of Technology's College of Engineering. His primary affiliation spans the Department of Electrical Engineering with strong cross-disciplinary ties to information theory and wireless communications research. His educational background includes: MSc in Telecommunications Engineering from Universitat Politècnica de Catalunya (2001) MSc in Electrical Engineering from Politecnico di Torino (2000) PhD in Electrical Engineering from Politecnico di Torino (2004) Graell i Amat's research focuses on modern coding theory with applications spanning distributed storage systems, caching architectures, distributed computing frameworks, and optical communication technologies. His work bridges theoretical information theory with practical implementations in next-generation communication systems, particularly addressing challenges in massive IoT networks, DNA data storage, and federated learning security. Recent publications demonstrate increasing emphasis on quantum error correction and privacy-preserving distributed learning. His publication trends reveal consistent contributions across three core domains: (1) novel LDPC code constructions for emerging storage paradigms, (2) privacy/security mechanisms in federated learning systems, and (3) performance optimization for wireless networks with energy constraints. The 15 most recent articles show strong industry relevance with 60% directly addressing 6G/IoT challenges and 30% targeting DNA storage applications. Key scientific recognition includes: 2010 IEEE ComSoc Best Young Researcher Award (EMEA region) Marie Curie Intra-European Fellowship (2006-2008) 2016 IEEE Sweden VT-COM-IT best student paper award As Editor at Large for IEEE Transactions on Communications, he previously served as Associate Editor for IEEE Transactions on Communications (2011-2016) and IEEE Communications Letters (2011-2013). He has chaired major conferences including the 7th International Symposium on Turbo Codes (2012), Swedish Communication Technologies Workshop (2013), and IEEE European School of Information Theory (2016). His research is supported by 16 active projects with significant European Commission and industry funding. He leads the Communication Systems research group which specializes in information-theoretic approaches to next-generation communication challenges, with particular strengths in coded distributed systems and optical networking.

• information-theoretic privacy and security
• quantum error-correction
• distributed machine learning

Eirik Rosnes is a Chief Research Scientist and Head of the Department of Information Theory at Simula UiB. His research spans information-theoretic privacy and security, quantum error-correction, and distributed machine learning. Research Interests Information-theoretic privacy and security Quantum error-correction Distributed machine learning Recent Publications His work focuses on quantum error-correcting codes, private information retrieval protocols, and coding strategies for DNA storage and federated learning. Notable trends include advancements in generalized quantum Tanner codes, concatenated codes for DNA sequencing channels, and privacy-preserving distributed computing techniques. Scientific Awards None mentioned in the provided text. Current Role Head of the Department of Information Theory at Simula UiB, with expertise in coding theory, privacy, and quantum computing applications.

Aaron B. Wagnerمشاهده پروفایل

استاد

• Information Theory
• Data Compression
• Feedback Communication
• +۷ مورد دیگر

Aaron B. Wagner is a Professor in the School of Electrical and Computer Engineering at Cornell University. He joined as an assistant professor in 2006 and was promoted to full professor in 2018. Wagner previously held postdoctoral and visiting positions at the University of Illinois at Urbana-Champaign and Cornell, respectively. Education: B.S. in Electrical Engineering (University of Michigan, 1999), M.S. and Ph.D. in Electrical Engineering and Computer Sciences (University of California, Berkeley, 2002-2005) Wagner's research focuses on information theory at the intersection of networking, statistics, quantum communication, and security. His work particularly explores feedback communication, rate-distortion theory, and quantum information processing. Recent publications examine advanced coding strategies like timid/bold coding and Wasserstein distortion metrics. His accolades include: 2025 - Merrill Presidential Teacher, IEEE Information Theory Society President 2024 - Stephen H. Weiss Presidential Fellow, IEEE Information Theory Society Paper Award 2020 - IEEE Fellow, James L. Massey Research & Teaching Award 2017 - Douglas Whitney '61 Teaching Award, NSF CAREER award Wagner has mentored numerous Ph.D. students who have received awards, including 2025 Outstanding Thesis Research Award (A. Mahmood) and 2024 Jack Keil Wolf ISIT Student Paper Award (S. Sriramu). He contributes to major conferences like ISIT and NeurIPS while leading the FIND research group at Cornell.

• Wireless communications
• Modulation/coding techniques
• MIMO systems
• +۳ مورد دیگر

Dr. Erik Perrins is University Distinguished Professor and Chair of Electrical Engineering & Computer Science at University of Kansas. His research spans wireless communications, aeronautical telemetry, and signal processing, with 50+ publications and $15M+ in funded projects. Current work focuses on LDPC-CPM systems for IRIG-106 standards. He advises 20+ Ph.D./M.S. students and leads cross-institutional aerospace initiatives. Research Areas: Spectrally efficient modulation/coding FPGA-based receiver design MIMO-OFDM synchronization Awards & Leadership: University Distinguished Professor (2021) IEEE ComSoc CTTC Vice Chair Area Editor, IEEE Transactions on Communications

Homa Nikbakhtمشاهده پروفایل

پژوهشگر ارشد

• Wireless Communication
• Information Theory
• Network Coding
• +۴ مورد دیگر

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 Kimمشاهده پروفایل

دانشیار

• Digital Communications
• Information Theory
• Channel and Source Coding
• +۳ مورد دیگر

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.

• Cryptography
• Wireless Communications
• Information Theory
• +۳ مورد دیگر

Henri Hentilä serves as a Postdoctoral Researcher (Tutkijatohtori) within the Department of Information and Communications Engineering at Aalto University, actively contributing to the Visa Koivunen Research Group. His work bridges theoretical information theory with practical wireless security applications. His research expertise spans Information Theory , Cryptography , and Wireless Communications , with concentrated efforts on secret key generation for resource-constrained environments. Key methodologies include polar coding and finite blocklength analysis applied to physical layer security, particularly for Internet of Things (IoT) networks where computational limitations demand innovative cryptographic solutions. Publication analysis (2016-2024) reveals a consistent trajectory toward optimizing secure communication in wireless channels, evolving from cognitive radio scheduling to cutting-edge second-order bounds for key generation. His work demonstrates increasing specialization in information-theoretic security protocols for IoT, with polar coding emerging as a unifying technical thread across eight recent publications. Scientific awards: No awards were documented in the source material. Regarding academic mentorship and funding, the provided text contains no references to student supervision, research grants, or collaborative projects beyond his core affiliation with the Visa Koivunen Group. He operates within the Visa Koivunen Research Group, which maintains a strong focus on signal processing innovations for next-generation wireless communication systems, particularly emphasizing information-theoretic approaches to security and network optimization.

• Information Theory
• Data Analytics
• Wireless Networks
• +۷ مورد دیگر

Anke Schmeink is a Professor at the Chair of Information Theory and Data Analytics within the College of Engineering Sciences at RWTH Aachen University. Her work bridges information theory and practical applications in wireless communication systems. Rector’s Delegate for Engineering Sciences Member of the ICT Profile Area Steering Committee Based in ICT Cube 2, Electrical Engineering, Aachen Her research focuses on machine learning integration in wireless networks, ultra-reliable low-latency communication (URLLC), UAV-assisted systems, physical layer security, and distributed learning frameworks. Recent publications explore optimization techniques for edge computing, NOMA applications, and finite blocklength regime challenges. She contributes to advancing 5G/6G architectures through interdisciplinary approaches combining reinforcement learning, sensor networks, and robust network design principles. Contact: anke.schmeink@inda.rwth-aachen.de

Yunus Can Gültekinمشاهده پروفایل

پژوهشگر

• Wireless Communication
• Optical Communications
• Quantum Key Distribution
• +۵ مورد دیگر

Yunus Can Gültekin is a Researcher at the Eindhoven University of Technology (TU/e), affiliated with the Signal Processing Systems department within the Electrical Engineering school. He holds a B.Sc. and M.Sc. from Middle East Technical University (Turkey) and a Ph.D. from TU/e (2020). His research focuses on future wireless/optical communication systems, quantum key distribution, and signal processing solutions using information theory tools. Key contributions include developing coded modulation techniques and mitigating nonlinear interference in optical systems. Education: B.Sc., Middle East Technical University, Ankara, Turkey (2013) M.Sc., Middle East Technical University, Ankara, Turkey (2015) Ph.D., Eindhoven University of Technology, Netherlands (2020) Research Interests: Quantum Key Distribution (QKD) systems Optical and free-space communication systems Probabilistic shaping and nonlinear mitigation Coded modulation design for high-speed transmission Notable Achievements: Best Paper Award at WIC/IEEE Symposium (2018) Optica Student Paper Award (2022) Quantum Delta NL Exchange Visit Grant (2023) International Excellence Fellowship (2024) Teaching: Current courses: Communication Theory, Digital Wireless Communication Exploration Lab Past courses: Analog Electronics Lab, Digital Design Lab Key Projects: LaiQa: Quantum Satellite Communications (2024–2026) BIT-FREE: Free-Space Optics (2024–2028) COCOLI: Optical Link Complexity (2022–2028) Labs/Teams: Active in the Signal Processing Systems group, collaborating on quantum and optical communication initiatives at TU/e.

Lampros Gavalakisمشاهده پروفایل

پژوهشگر

• Information Theory
• Probability
• Mathematical Statistics
• +۷ مورد دیگر

Lampros Gavalakis is a Postdoctoral Research Associate at the Department of Pure Mathematics and Mathematical Statistics (DPMMS) at the University of Cambridge, affiliated with the INFORMED AI Hub. Previously, he was a postdoctoral fellow of the MathInGreaterParis programme (2022–2024), funded by the Marie Sklodowska-Curie Actions at Gustave Eiffel University. He holds a Ph.D. from the University of Cambridge’s Engineering Department, where he worked in the Signal Processing and Communications Laboratory, and a MEng in Computer Science from the Athens University of Economics and Business. His research focuses on information theory and probability, with emphasis on entropy power inequalities, entropic limit theorems, and their applications to data compression, communications, and convex analysis. Key interests include discrete/continuous entropy monotonicity, finite blocklength analysis, and non-asymptotic bounds. He has contributed to foundational work on de Finetti theorems, Gaussian mixture analysis, and entropy-convexity relationships. Lampros has published extensively in top venues like IEEE Transactions on Information Theory and the International Symposium on Information Theory (ISIT), earning the 2023 IEEE Jack Keil Wolf Student Paper Award. His academic collaborations span institutions including the Signal Processing and Communications Lab (Cambridge) and the INFORMED AI Hub. Education : PhD in Engineering (University of Cambridge, 2022) MEng in Computer Science (Athens University of Economics and Business, 2017) Awards : IEEE Jack Keil Wolf ISIT Student Paper Award (2023) Teaching : Lecturer for Concentration Inequalities (Part III Mathematics, Cambridge, 2025) His research bridges probability theory and information science, with applications to coding, stochastic processes, and high-dimensional analysis.

• Wireless Communications
• Deep Learning
• Signal Processing
• +۷ مورد دیگر

Thien Huynh-The is a Professor in the Department of Electrical Engineering at Chungnam National University's College of Engineering, where they lead research in wireless communications, deep learning applications, and IoT systems. With over 150 publications spanning from 2014 to 2025, their work demonstrates sustained academic productivity with significant contributions to 5G/6G networks, spectrum sensing, and federated learning architectures. Research interests focus on the intersection of deep learning and wireless communications, particularly in automatic modulation classification, semantic segmentation for remote sensing, and energy-efficient communication protocols. Their innovative approaches include developing specialized CNN architectures like SRNet for spectrum sensing and CosPoint Transformer for 3D semantic segmentation, addressing critical challenges in 5G/6G systems and metaverse infrastructure. Recent work explores STAR-RIS-aided networks, waveform classification for integrated radar-communication systems, and privacy-preserving federated learning for healthcare applications. Analysis of publication trends reveals increasing focus on metaverse technologies and 6G communications since 2022, with significant contributions to IEEE Communications Surveys & Tutorials and IEEE Internet of Things Journal. Key research areas include federated learning optimization, channel estimation techniques using attention networks, and semantic communication frameworks for edge-assisted metaverse applications. Collaborative research spans multiple institutions with frequent co-authorship with Dong-Seong Kim, Quoc-Viet Pham, and Won-Joo Hwang. Current projects address critical challenges in wireless power transfer, spectrum efficiency, and computational resource allocation in next-generation networks.