Trellis Coded Modulation Professors and Supervisors

Gabriele LigaView profile

Assistant Professor

Eindhoven University of TechnologyNetherlands

Gabriele Liga is an Assistant Professor at the Department of Electrical Engineering, Eindhoven University of Technology (TU/e), affiliated with the Signal Processing Systems (SPS) Group. He holds a Marie Curie Eurotech Fellowship focusing on signal shaping techniques for nonlinear optical fiber channels. His academic journey includes a Ph.D. in optical communications from University College London, followed by postdoctoral research in digital signal processing and nonlinearity compensation. Education: B.Sc. in Telecommunications Engineering from Università degli Studi di Palermo (2005), M.Sc. in Telecommunications Engineering from Politecnico di Milano (2011), and a Ph.D. in Optical Communications from University College London (2017). Research Interests: Digital communications, information theory, fiber-optic systems, nonlinearity compensation, channel coding, and multi-user optical communication theory. His work emphasizes achieving transmission limits through signal shaping and advanced signal processing techniques. Projects: Active roles in NESTOR (Next-gen optical networks), QuNEST (quantum communication security), Fun-NOTCH (nonlinear optical channel fundamentals), and SSTOC (signal shaping tailored to optical channels). Collaborations span institutions globally, focusing on optical fiber communication challenges. Awards: 2023 ACP/POEM Best Student Paper Award and 2019 OECC Best Paper Award. Serves as a reviewer for IEEE journals and OSA publications. Labs/Teams: Core member of the SPS Group and involved in interdisciplinary projects blending theory and experimental validation.

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Husheng LiView profile

Professor

Purdue UniversityUnited States

Husheng Li is a Professor of Aero and Astro Engineering at Purdue University's School of Aeronautics and Astronautics. He holds a PhD in Electrical Engineering from Princeton University and bachelor's and master's degrees in Electronic Engineering from Tsinghua University. Education: PhD in Electrical Engineering, Princeton University BS and MS in Electronic Engineering, Tsinghua University Research Interests: Dr. Li's work focuses on autonomous and connected systems , UAV sensing and communications , and joint design of control and communication systems . His research integrates cyber-physical systems , statistical signal processing , and wireless communications , with recent emphases on integrated sensing and communications (ISAC) , MIMO systems , and waveform optimization . His innovations span OTFS modulation , secure ISAC networks , and multi-functional waveform design . Publications: His articles explore cutting-edge topics like waveform sensitivity analysis , spectral efficiency in ISAC , and secure communication protocols . His work bridges theoretical information theory with practical system implementations , often validated through experimental demonstrations. Grants & Advising: While specific grants or student advisees are not detailed here, his research aligns with major trends in autonomous systems and 6G communication technologies . His lab likely contributes to Purdue's broader efforts in smart infrastructure and cyber-physical systems .

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Dan RaphaeliView profile

Researcher

Leipzig UniversityGermany

Dr. Dan Raphaeli is a faculty member at the School of Electrical Engineering within the Iby and Aladar Fleischman Faculty of Engineering at Tel Aviv University. His research focuses on advanced communication systems and signal processing techniques. Trellis Coded Modulation Decoding algorithms and Turbo codes Maximum likelihood equalization analysis Noncoherent detection methods for coded modulation Carrier tracking in mobile communications Multipath fading mitigation Spread spectrum systems and Multiuser CDMA OFDM receiver design Contact: daniraf@tauex.tau.ac.il

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Masoud SalehiView profile

Associate Professor

Northeastern UniversityUnited States

Dr. Masoud Salehi is an Associate Professor and Associate Chair for Graduate Studies in the Department of Electrical and Computer Engineering at Northeastern University, USA. He holds a BS (Summa Cum Laude) from Tehran University and MS/PhD from Stanford University. Previously, he worked at Isfahan University of Technology and Tehran University. His research focuses on error-correcting codes, information theory, digital communications, and physical-layer security. He has authored influential textbooks including Communication Systems Engineering (Prentice-Hall) and Contemporary Communication Systems Using MATLAB . Education: BS (Tehran U.), MS/PhD (Stanford U.). Visiting Professor at Eindhoven University of Technology (1988-1989). Research Interests : Network information theory, source-channel matching, data compression, turbo coding, coding for fading channels, digital watermarking. Recent work emphasizes physical-layer security in multi-user wireless networks and jamming mitigation strategies. Grants & Industry : Supported by NSF, GTE, NUWC, CenSSIS, Analog Devices. Consulted for Teleco Oilfield Services and AT&T. Awards : 2024 Outstanding Faculty Service Award. Editorial Board member of International Journal of Electronics and Communications . Key Contributions : Developed precoding techniques for MIMO systems, game-theoretic jamming mitigation, and LDPC decoding algorithms. Active in the Institute of Information Assurance (IIA) and Communications, Control & Signal Processing research group at Northeastern.

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John FonsekaView profile

Professor

University of Texas at DallasUnited States

John Fonseka is a Professor of Electrical Engineering at the University of Texas at Dallas (UT Dallas), affiliated with the Erik Jonsson School of Engineering and Computer Science. He holds a Ph.D. in Electrical Engineering from Arizona State University (1988), an M.Eng. from Memorial University of Newfoundland (1985), and a B.Sc. from the University of Moratuwa, Sri Lanka (1980). His research focuses on communication theory , particularly in modulation and coding , with emphasis on bandwidth-efficient techniques and throughput enhancement. Key areas include coded modulation, error control coding, channel capacity calculations, and transmission over fading channels. He has explored topics such as quadrature multiplexed CPM, trellis-coded modulation with adaptive constellations, and capacity analysis in Nakagami- and Rician-fading environments. Notable contributions include work on CPFSK error reduction, noncoherent detection strategies, and OFDM applications. His publications span IET Communications , IEEE Transactions on Communications , and Electronics Letters , reflecting expertise in both theoretical and applied signal processing. Fonseka’s academic profile reflects over three decades of contributions to reliable communication systems, with a focus on optimizing performance in challenging channel conditions.

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Kaiquan WuView profile

Researcher

Eindhoven University of TechnologyNetherlands

Kaiquan Wu is a doctoral candidate and postdoc researcher at Eindhoven University of Technology (TU/e), Netherlands, specializing in digital signal processing for fiber-optic communication systems. His research focuses on error correction codes, coded modulation, and channel modeling. PhD Candidate in Electrical Engineering (Signal Processing Systems) Postdoc in Electrical Engineering (ICT Lab) Member of the ICONIC , BIT-FREE , and DIGI-OPT research projects Research interests include combating signal impairments in optical systems through advanced DSP techniques, such as decision feedback equalizers (DFE), geometric shaping, and low-complexity detection algorithms. He has published extensively on FSO systems, IM-DD links, and energy dispersion analysis. Collaborations involve developing simplified FSO channel models, low-complexity architectures for data center applications, and patent innovations in amplitude shaping methods. His work contributes to increasing the capacity of optical communication systems while reducing complexity and error rates.

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Carmela GaldiView profile

Associate Professor

University of SannioItaly

Carmela Galdi is an Associate Professor at the Department of Engineering, University of Sannio, Italy. Her research focuses on telecommunications engineering, with a strong emphasis on remote sensing technologies, radar/satellite signal processing, and environmental monitoring applications. Key research areas include: Advanced CFAR detection techniques for radar systems GNSS-R (Global Navigation Satellite System Reflectometry) for land and ocean altimetry Wind speed retrieval algorithms using satellite data Speckle reduction in SAR (Synthetic Aperture Radar) imagery Multi-spectral thermal anomaly detection Development of MATISSE, a meteorological aviation support system Her publications span from 1996 to 2024, showing sustained expertise in radar signal processing, satellite communication systems, and environmental data analysis. While no formal scientific awards are documented in the provided materials, her collaborative work with institutions like CIRA (Italian Aerospace Research Centre) and multiple international projects indicates significant professional impact. Recent work includes comparative studies of CYGNSS and Sentinel-1 wind speed products for tropical cyclone monitoring, and the development of adaptive mobility systems for smart transportation. She has contributed to GNSS-R coherent signal focusing techniques to enhance spatial resolution, and has co-authored foundational studies on multidimensional signal detection in Gaussian clutter environments. Her research frequently intersects with: Climate science applications Digital communication systems Geospatial data analysis Environmental hazard detection Advanced mathematical modeling Signal processing for aviation safety

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Emmanuel BoutillonView profile

Professor

Technical University of MunichGermany

Professor Emmanuel Boutillon holds a position at Université de Bretagne Sud (UBS) within the Lab-STICC (UMR 6285), specializing in VLSI architectures and communication systems. His academic career includes roles as an Assistant Professor at Telecom ParisTech (1997-2000) and research engineer positions at institutions like ENST and Philips Research. He has supervised over 25 PhD students, focusing on topics such as LDPC codes, Turbo codes, and hardware implementation. Education: Engineering degree from Telecom ParisTech (1986-1990). Research Interests: Non-binary LDPC codes, QCSP transmission, AI-aided FEC decoding, and high-speed communication architectures. Key projects include the French ANR-funded AI4Code (2021-2024) and QCSP (2019-2023) initiatives. His industry collaborations involve companies like Turbo-Concept and Orange Labs, with emphasis on real-time encoder/decoder solutions. He has published extensively on topics like trellis aggregation and 8PSK demapper design.

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Catherine DouillardView profile

Professor

Technical University of MunichGermany

Catherine Douillard is a Professor in the Department of Mathematical and Electrical Engineering at IMT Atlantique. She holds an engineering degree from École Nationale Supérieure des Télécommunications de Bretagne (1988), a doctorate in electronics from the University of Western Brittany (1992), and accreditation to supervise research from the University of Southern Brittany (2004). Her research focuses on digital communications, error-correcting coding, iterative decoding, and coded modulations for multi-antenna and NOMA systems. She led the 'Coding, Constellations and Interleaving' group in DVB-NGH standardization (2010–2012) and received the IEEE/SEE Glavieux Award (2009) for industrial impact in coding. She chairs major coding symposiums like ISTC and leads projects such as NF-PERSEUS (5G networks) and AI4CODE (AI-driven FEC design). Her work emphasizes resource allocation in IoT, NOMA, and full-duplex systems. Key contributions include optimizing non-binary turbo codes for IoT, applying machine learning to interleaver design, and exploring full-duplex relay architectures. She supervises interdisciplinary teams across IMT Atlantique, Lebanese University, and international partners. Current projects address 6G challenges like low-latency decoding and coexistence of eMBB/URLLC services. Research awards include the Glavieux Prize and leadership in European initiatives (EPIC, FANTASTIC-5G). She contributes to standardization bodies (DVB) and chairs conferences, bridging academia and industry through projects like Beyond5G (sovereign 5G networks) and QCSP (NB-code for IoT).

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LUCACIU RaduView profile

Researcher

Politehnica University Timisoara (UPT)Romania

Dr. Eng. LUCACIU Radu is a researcher and academic affiliated with the Department of Communications at the Faculty of Electronics and Telecommunications, Politehnica University of Timișoara. His career spans over two decades, beginning as a trainer (1999–2002), followed by roles as an assistant (2002–2020), and currently serving as a project manager since 2020. He holds a PhD in Engineering awarded in 2011 under the supervision of Prof. Miranda Naforniță. His research focuses on optical communication systems, coding theory, and wireless technologies, with notable contributions to OCDMA systems and turbo codes. He has been recognized with the 'Bologna Professor' diploma (2019) and several prestigious paper awards. Key research interests include optical communications, radar sensor technology, and dynamic coding solutions. Notable projects include developing dynamic OCDMA coding methods to reduce interference and enhancing automotive radar trajectory estimation using polynomial fitting. He has advised students on significant diploma projects, including 'Automatic diagnosis of airbag unit elements' (2017) and 'RADAR Demonstration Stand in Automotive' (2019). His work spans international collaborations with institutions like the University of Central Lancashire (UK), Aristotle University of Thessaloniki (Greece), and others. Administratively, he has served on the Communications Department Council and organized academic events, including the ISETC conference. He is an active member of professional associations like the European Association for Telematics Applications (EATA) and contributes to journals such as the Electronic Journal of e-Learning and International Journal of Knowledge and Learning . His contributions to smart city applications, multimedia technologies, and open data initiatives reflect his interdisciplinary impact.

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Hung Viet NguyenView profile

Research Fellow

University of SurreyUnited Kingdom

Hung Viet Nguyen is a Research Fellow at the 5G Innovation Centre, University of Surrey, UK, within the Institute for Communication Systems. He holds a PhD in Electronics and Electrical Engineering from the University of Southampton (2013), an MEng in Telecommunications from Asian Institute of Technology (2002), and a BEng in Electronics & Telecommunications from Hanoi University of Science and Technology (1999). His research focuses on quantum communications, including quantum error correction, quantum algorithms, and quantum key distribution (QKD), alongside classical domains like cooperative communications, channel coding, and network coding. He has contributed to EU-funded projects such as CONCERTO and OPTIMIX, and his work bridges quantum and classical information systems. Key research areas include: - Quantum error correction codes and topological codes (e.g., surface codes, color codes) - Quantum network coding and quantum channel capacities - Network-coding aided cooperative communications - Applications in 5G-NR and future wireless systems Publications highlight advancements in QKD protocols over free-space optics, quantum turbo codes for memory channels, and quantum-assisted routing optimization. His work on classical-to-quantum coding isomers and Pareto-optimal routing algorithms underscores interdisciplinary innovation. Nguyen’s contributions also extend to MIMO systems, antenna optimization, and energy-efficient ad hoc networks. Labs/Teams: Active member of the 5G Innovation Centre and collaborator with the School of Electronics & Computer Science, University of Southampton.

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Georg SchmidtView profile

Professor

Esslingen University of Applied SciencesGermany

Prof. Georg Schmidt is a Professor at Esslingen University of Applied Sciences since 2011, specializing in communication systems, digital technology, and coding theory. He holds a PhD in algebraic decoding of Reed-Solomon codes and has extensive industry experience, including roles at Ubidyne GmbH and the University of Ulm's Institute of Telecommunications Technology. His research interests span digital signal processing, embedded systems security, and error-correcting codes. He lectures on advanced channel coding and serves on the DV and Foreign Affairs Committees. Education: 1994–2000: Studied Electrical Engineering at the University of Ulm, focusing on systems engineering, communications, and network technology. Doctorate: Algebraic decoding of Reed-Solomon codes over half the minimum distance (University of Ulm). Research Focus: Communication systems and digital signal processing. Coding theory (e.g., Reed-Solomon codes, expander codes). Data security and embedded systems. Motor control and delta-sigma modulation techniques. Recent Publications Trends: Recent work emphasizes practical applications like Bluetooth Low Energy systems, energy harvesting, and advanced motor control algorithms, complementing foundational research in coding theory and error correction. Awards & Grants: No specific awards or grants listed. Active in patenting (e.g., antenna arrays, calibration methods, and energy systems). Advising & Labs: No student advisees listed. Engaged in collaborative projects on coding and industrial communication at Esslingen’s engineering faculty.

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Paul H. SiegelView profile

Professor

University of California, San DiegoUnited States

Paul H. Siegel is a Professor in the Department of Electrical and Computer Engineering at the University of California, San Diego (UCSD), within the Jacobs School of Engineering. He holds an Endowed Chair at the Center for Memory and Recording Research (CMRR) and is affiliated with the California Institute for Telecommunications and Information Technology (Calit2) and the Center for Wireless Communications (CWC). He previously served as Director of CMRR from 2000 to 2011 and maintains an active research and teaching presence at UCSD. Ph.D. in Mathematics, Massachusetts Institute of Technology, 1979 S.B. in Mathematics, Massachusetts Institute of Technology, 1975 Prof. Siegel's research centers on the mathematical foundations of signal processing and coding, with applications to digital data storage and wireless communications. His work spans constrained coding, error-correcting codes, trellis modulation, and algorithm design. He has made foundational contributions to matched spectral null codes, finite-state modulation, and coding for partial response channels. His recent publications emphasize coding for flash and non-volatile memories, polar and LDPC codes, and interference mitigation in high-density storage. His 15 most recent publications (2021–2018) demonstrate continued leadership in constrained coding, shaping codes, insertion/deletion channels, and neural network-based detection. The research integrates deep information-theoretic analysis with practical applications in storage systems, particularly flash and magnetic recording. Topics include rate-compatible codes, locally recoverable codes, polar coding for asymmetric channels, and robust neural networks using coding principles. IEEE Fellow (1997) IEEE Information Theory Society Paper Award (1992) IEEE Communications Society Leonard G. Abraham Prize (1993) IEEE Communications Society Data Storage Technical Committee Best Paper Award (2007) IEEE Information Theory Society Padovani Lecturer (2015) Member, National Academy of Engineering (2008) Best Graduate Teacher Award (2009–2010, 2015–2016) Best Undergraduate Teacher Award (2017–2018) Teacher of the Year, Jacobs School (2007–2008) Outstanding Mentor Award (2020–2021) Prof. Siegel has advised numerous Ph.D. and Master’s students, including Joseph B. Soriaga, Henry D. Pfister, Mohammad H. Taghavi, and Eitan Yaakobi. He has received research funding from industry and government agencies for projects in data storage and communications. He served as Editor-in-Chief of IEEE Transactions on Information Theory (2001–2004) and has held editorial roles in multiple IEEE journals. He co-organizes the Annual Non-Volatile Memories Workshop (NVMW) at UCSD, fostering collaboration in next-generation memory technologies. His primary research lab is the Center for Memory and Recording Research (CMRR), a leading interdisciplinary research center focused on magnetic, optical, and solid-state data storage technologies. CMRR supports projects in coding, signal processing, device physics, and system architecture. Prof. Siegel leads a team of graduate students and postdoctoral researchers investigating advanced coding schemes for emerging memory systems.

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