جست‌وجوی استاد و پژوهشگر

George N. Karystinosمشاهده پروفایل

استاد

• Communication Theory and Systems
• Wireless Communications
• Signal Processing
• +۹ مورد دیگر

George N. Karystinos is currently a Professor and Dean of the School of Electrical and Computer Engineering at the Technical University of Crete , Greece. He joined TUC in 2005 and was promoted to full Professor in 2019. His academic journey began with a Ph.D. in Electrical Engineering from SUNY Buffalo (2003) and a Diploma in Computer Engineering and Science from the University of Patras (1997). Specialty: Communication theory, coding theory, adaptive signal processing Key research areas: Wireless communications, signal waveform design, L1-norm principal component analysis Leadership: Dean of School of ECE (2021–present) His work focuses on noncoherent detection for RFID/IoT systems and L1-norm PCA for robust signal processing. Recent publications explore power line communication and low-complexity sequence detection . Scientific Awards: 2003 IEEE Transactions on Neural Networks Outstanding Paper Award 2001 IEEE ICT Best Paper Award 2018 IEEE MOCAST Best Student Paper Award 2015 IEEE ICASSP Best Student Paper Award 2013 IEEE ISWCS Best Paper Award 2011 IEEE RFID-TA Second Best Student Paper Award He is affiliated with the Telecommunications Laboratory at TUC and has supervised award-winning research in wireless systems and signal processing.

Dan Raphaeliمشاهده پروفایل

پژوهشگر

• Trellis Coded Modulation
• Decoding Algorithms
• Turbo Codes
• +۸ مورد دیگر

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

Lie-Liang Yangمشاهده پروفایل

استاد

• Wireless Communications
• Wireless Networks
• Signal Processing for Wireless Communications
• +۲ مورد دیگر

Lie-Liang Yang is a Professor of Wireless Communications at the University of Southampton's School of Electronics and Computer Science. With a career spanning over two decades at the institution, he has held roles from Postdoctoral Fellow to his current professorship. His research focuses on wireless communications, networks, signal processing, and emerging areas like molecular and nano communications. BEng (Shanghai Tiedao University, 1988) MEng (Beijing Jiaotong University, 1991) PhD (Beijing Jiaotong University, 1997) Postgraduate Certificate in Education (University of Southampton, 2005) His work spans advanced modulation techniques (e.g., OTFS, index modulation), reconfigurable intelligent surfaces, terahertz communication, and integrated sensing-communication systems. Recent publications emphasize next-generation wireless technologies, including 5G/6G, mmWave systems, and orbital angular momentum applications. Active projects include Beyond The Generations and Pervasive Wireless Intelligence , sponsored by EPSRC and Huawei. He has also contributed to editorial roles in IEEE Transactions on Vehicular Technology , IEEE Access , and special issues for IEEE Journal on Selected Areas in Communications and others. Scientific accolades: Fellow of the IEEE (USA) Fellow of the IET (UK) IEEE Vehicular Technology Society Distinguished Lecturer He supervises multiple PhD students in the School of Electronics and Computer Science, including Yi Zhao , Hugo Zakaria Jose Hawkins , and Zhou Lu . His research group integrates wireless communications with interdisciplinary applications in nanotechnology and machine-type communications.

• Wireless Communications
• Telecommunications
• Algorithms Design
• +۳ مورد دیگر

Professor Robert G. Maunder is affiliated with the University of Southampton and leads research in wireless communications, algorithms design, and hardware implementation. He has been with the School of Electronics and Computer Science since 2000, advancing from Lecturer to Professor in 2017. BEng (First Class) in Electronic Engineering (2003) PhD in Telecommunications (2007) His research focuses on joint source/channel coding and optimizing wireless communication systems through algorithm-hardware co-design. Recent work includes 5G non-terrestrial networks, OTFS modulation, and quantum code decoding. Key collaborators include Prof. Lajos Hanzo and Prof. Sir Bashir Al-Hashimi. Selected awards: IEEE Senior Member (2012), Chartered Engineer (IET, 2013), Fellow of the IET (2017). He supervises PhD student Arumjeni Mitayani and founded AccelerComm Ltd to commercialize soft-IP solutions.

Lajos Hanzoمشاهده پروفایل

استاد

• Wireless Communications
• Optical Wireless Systems
• Signal Processing
• +۵ مورد دیگر

Lajos Hanzo is a distinguished Professor at the University of Southampton's School of Electronics and Computer Science (ECS), where he has established himself as a leading authority in wireless communications and signal processing. His academic profile showcases extensive contributions to the field with over 1400 publications and significant recognition through multiple prestigious fellowships. Dr. Hanzo received his degree in electronics in 1976 and his doctorate in 1983, followed by an honorary doctorate in 2009. His educational background laid the foundation for a career that has continually evolved with communication technologies from early wireless systems through to contemporary 6G research and quantum communications. Hanzo's research spans wireless communications, optical wireless systems, MIMO technologies, and increasingly intersects with artificial intelligence applications for next-generation networks. His work demonstrates remarkable synergy between theoretical foundations and practical implementations, addressing challenges in spectral efficiency, channel capacity, and reliable transmission across diverse communication scenarios. He has made seminal contributions to space-time coding, non-orthogonal multiple access (NOMA), and index modulation techniques that have influenced multiple generations of wireless standards. Analysis of his recent publications reveals a clear progression toward more complex communication paradigms, with increasing focus on 6G technologies, integration of deep learning with traditional communication theory, and exploration of quantum-inspired communication approaches. His work consistently addresses the tension between theoretical capacity limits and practical implementation constraints, with recent papers demonstrating particular interest in millimeter-wave communications, visible light communication, and massive connectivity solutions for IoT applications. FREng (Fellow of the Royal Academy of Engineering) FIEEE (Fellow of the IEEE) FIET (Fellow of the Institution of Engineering and Technology) Fellow of EURASIP (European Association for Signal Processing) DSc (Doctor of Science) While specific details of his advising activities aren't prominently featured in the provided materials, Hanzo's extensive publication record spanning multiple decades suggests significant mentorship of graduate students and postdoctoral researchers. His research has clearly attracted substantial funding to support investigations across wireless communications, with particular emphasis on coding theory, MIMO systems, and next-generation network architectures. The collaborative nature of his recent work indicates ongoing engagement with international research consortia addressing 5G evolution and 6G standardization.

John Fonsekaمشاهده پروفایل

استاد

• Communication Theory
• Modulation & Coding
• Coded Modulation
• +۶ مورد دیگر

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.

Karystinos Georgeمشاهده پروفایل

استاد

• Communication theory and systems
• Coding theory
• Adaptive signal processing
• +۶ مورد دیگر

Prof. George Karystinos is a Professor at the Technical University of Crete (TUC), School of Electrical and Computer Engineering (ECE), where he leads the Telecommunications Laboratory. His academic journey includes a Ph.D. in Electrical Engineering from SUNY Buffalo (2003) and a Diploma in Computer Engineering from the University of Patras (1997). He previously held a faculty position at Wright State University before joining TUC in 2005. His research focuses on communication theory, coding, adaptive signal processing, wireless systems, and neural networks. Key interests include spreading code design, interference suppression, adaptive antenna arrays, and noncoherent detection techniques. His work has led to advancements in power line communication, MIMO systems, and low-complexity decoding algorithms. Prof. Karystinos has received prestigious awards, including the 2003 IEEE Transactions on Neural Networks Outstanding Paper Award and the 2001 IEEE International Conference on Telecommunications Best Paper Award. He is an active member of IEEE societies in Communications, Signal Processing, and Information Theory. He teaches core courses such as Signals and Systems , Information Theory and Coding , and Probability and Random Processes . His laboratory emphasizes practical applications of theoretical concepts, with recent projects on smart photovoltaic systems and cascaded H-bridge converter control. His research spans 20+ years, yielding over 80 publications in top journals/conferences. Current efforts address challenges in IoT communication, noncoherent detection for RFID, and energy-efficient signal processing. He collaborates internationally on projects funded by Greek and EU research programs.

• multiple access
• coding theory
• information theory
• +۴ مورد دیگر

Dmitry Sergeevich Osipov is a Professor at the Moscow Institute of Electronics and Mathematics (part of National Research University Higher School of Economics ), with 22 years of scientific and teaching experience . He has been employed at HSE since 2013 and also serves as a Senior Researcher at the Institute for Information Transmission Problems (IITP RAS) since 2003. Education: Doctor of Technical Sciences (2023), Moscow Institute of Physics and Technology Candidate of Technical Sciences (2008), Moscow Institute of Physics and Technology Specialist (2003), Bauman Moscow State Technical University in 'Aircraft Control Systems' Research Interests include multiple access coding theory , wireless communication , information theory , wireless optical communication , and the Internet of Things . His work focuses on nonparametric detection, order statistics, and robust communication systems under interference. Recent Publications emphasize nonparametric reception techniques , coding schemes for FH OFDMA systems , and wireless channel simulation , with applications in IoT and massive machine-to-machine communication. Scientific Awards: Laureate of the Moscow Government Prize (2013) in Information and Communication Technologies Recipient of Faculty of Computer Science Gratitude (2018) Advising includes mentoring students on: Nonbinary code decoding (Malakhova, 2019) Soft decoding techniques (Titov, 2017) Signal-code constructions (Subbotin, 2016) Multiagent system strategies (Egorov, 2015)

• Wireless Digital Communications
• Indoor Localization
• Error Control Coding
• +۱۲ مورد دیگر

Dr. Ian D. Marsland is an Associate Professor in the Department of Systems and Computer Engineering at Carleton University, Faculty of Engineering and Design. He holds a Ph.D. in Electrical Engineering from the University of British Columbia and has been a faculty member since 1999. His research is centered on wireless digital communications, with a focus on error control coding, noncoherent detection, iterative decoding, and indoor localization. B.Sc.Eng. (Honours) in Mathematics and Engineering, Queen's University, 1987 M.Sc. in Electrical Engineering, University of British Columbia, 1994 Ph.D. in Electrical Engineering, University of British Columbia, 1999 His research interests span wireless digital communications , including indoor localization using wireless networks , error control coding (LDPC, turbo, polar codes) , noncoherent receiver design , and applications of iterative decoding . His work bridges theoretical communication systems with practical implementation in modern wireless networks. The analysis of his recent publications (2020–2024) reveals a strong trend toward advanced modulation and coding schemes such as SCMA , faster-than-Nyquist signaling , and polar codes , often integrated with machine learning (e.g., neural network-aided detection) and high-resolution localization techniques. His work frequently appears in high-impact IEEE journals like IEEE Transactions on Communications and top conferences including ICC and GlobeCom . Dr. Marsland has not been explicitly mentioned as receiving scientific awards in the provided texts. He actively advises graduate students and has collaborated extensively with researchers including H. Yanikomeroglu , R.H. Gohary , and T. Shehata . His research has been supported through academic grants and industrial partnerships, though specific grant details are not listed. He supervises work in areas such as MIMO systems, SCMA, polar coding, and indoor positioning. Dr. Marsland leads a research group focused on wireless communications and signal processing, with active projects in next-generation multiple access, low-latency detection, and robust communication in fading and interference-prone environments. His lab contributes to both theoretical advancements and practical implementations in modern wireless systems.

• Wireless Digital Communications
• Noncoherent Receiver Design
• Error Control Coding
• +۵ مورد دیگر

Dr. Ian D. Marsland is an Associate Professor in the Department of Systems and Computer Engineering at Carleton University (Faculty of Engineering and Design). He holds a Ph.D. from the University of British Columbia and has been affiliated with Carleton since 1999. His research focuses on wireless digital communications, noncoherent receiver design, error control coding, and indoor localization using wireless networks. He has contributed to advancements in SCMA, FTN signaling, and polar codes, with a strong emphasis on iterative decoding applications. Education: B.Sc.Eng. (Honours) in Mathematics and Engineering, Queen's University (1987) M.Sc. in Electrical Engineering, University of British Columbia (1994) Ph.D. in Electrical Engineering, University of British Columbia (1999) Research Interests: Wireless communication systems (stationary/mobile) Error control coding (LDPC, turbo, polar codes) Noncoherent receiver design Faster-than-Nyquist (FTN) signaling and neural network-aided detection Multidimensional constellations for SCMA systems Indoor localization via wireless networks Recent Research Trends: Dr. Marsland’s recent work emphasizes low-complexity detection algorithms for FTN signaling, SCMA constellation design, and polar code optimization. His publications highlight advancements in throughput-based coding, sphere decoding for SCMA, and high-resolution positioning techniques using MUSIC-based methods. Grants & Advising: While specific grants or student advisees are not detailed in the provided texts, his research portfolio indicates sustained involvement in collaborative projects with industry and academic partners. His lab focuses on next-generation wireless systems and signal processing innovations. Labs & Teams: His research is conducted within Carleton’s Department of Systems and Computer Engineering, emphasizing interdisciplinary work in communications and signal processing. Collaborators include researchers from institutions like the University of Toronto and industry partners.

Karystinos Georgiosمشاهده پروفایل

استاد

• Telecommunications theory and systems
• Coding theory
• Adaptive signal processing
• +۷ مورد دیگر

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.

• Wireless Networked Control
• AI Robotics
• Next-Gen Radio Frequency Design
• +۳ مورد دیگر

Dr Wanchun Liu is an ARC DECRA Fellow at the School of Electrical and Computer Engineering, University of Sydney. She holds a PhD in Electrical Engineering from Australian National University (2017), with research focused on wireless networked control systems, AI-driven robotics, and next-generation communication technologies. Her work bridges control theory, communications, and computing, addressing critical challenges in Industrial IoT and cyber-physical systems. Education: B.Eng & M.Eng (Beihang University, China) PhD (Australian National University) Research Interests: Wireless Human-Machine Collaboration, networked control for IIoT, AI-based robotics, over-the-air computing, and splitting receiver design. Recent Research Trends: Recent publications emphasize deep reinforcement learning applications in resource allocation and control systems, stability analysis under fading channels, and hardware-software co-design for next-gen communication systems. Her work often explores latency-reliability tradeoffs and hybrid control-communication architectures. Awards & Recognition: 2024 Supervisor of the Year (University of Sydney) ARC DECRA Fellow (2023-2025) Multiple Dean's Awards for Research Excellence (2020s) Exemplary Reviewer Awards (IEEE Journals, 2020-2023) Grants & Projects: A$787k ARC Linkage Project (2024): Advanced Omni-Surfaces for Mine Connectivity A$369k CAPEX Equipment Grant (2024) CRC-P Smart Material Recovery Facility Project (2021-2023) Collaborations: Active partnerships with global institutions including Aalborg University, KTH Royal Institute of Technology, Princeton University, and leading industry partners like Azure Mining Technology.

• Wireless Communications
• Telecommunications
• Signal Processing
• +۳ مورد دیگر

Prof. Rob Maunder is a Professor of Electronics & Computer Science at the University of Southampton. He holds a BEng (First Class Honours) in Electronic Engineering (2003) and a PhD in Telecommunications (2007). His research focuses on joint source/channel coding, wireless communication algorithms, and hardware implementations. He leads projects funded by EPSRC and the Royal Society, including work on 5G non-terrestrial networks and reconfigurable intelligent surfaces. Rob is the founder and CTO of AccelerComm Ltd, commercializing his research via soft-IP solutions. He has held roles from Lecturer (2007) to Professor (2017), and is a Chartered Engineer (IET), IEEE Senior Member, and IET Fellow. His work spans MIMO systems, iterative receivers, and deep learning applications in communications. Key honors include Fellowships from the IET (2017) and Higher Education Academy (SFHEA). He supervises PhD students, such as Arumjeni Mitayani, and collaborates with industry partners like Thales. Current research emphasizes energy-efficient wireless networks, next-gen modulation techniques, and hardware-software co-design.

K. Vasudevanمشاهده پروفایل

استاد

• Communications
• Signal Processing
• Digital communications
• +۴ مورد دیگر

Professor K. Vasudevan is a faculty member in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur, specializing in Communications & Discrete-time Signal Processing. He has been at IIT Kanpur since July 2001, initially as an Assistant Professor until December 2007, then promoted to Associate Professor in January 2008, and currently holds the position of Professor. His educational background includes: PhD from IIT Madras (2000) with thesis on "Efficient Noncoherent Detectors for Multilevel Signals in Fading Channels" M.S. from IIT Madras (1996) B.Tech. from IIT Kharagpur (1991) Professor Vasudevan's research focuses on digital communications, with particular expertise in coherent and noncoherent receivers, synchronization techniques, channel estimation, and diversity techniques. His work bridges theoretical signal processing concepts with practical communication system implementations, contributing significantly to the field of wireless communications. His publication record shows a consistent focus on advanced communication techniques, particularly around QPSK modulation, turbo coding, and signal detection in challenging environments. His research evolved from fundamental signal detection methods to more complex systems involving multiuser communications and space-time coding. Professor Vasudevan has received several professional recognitions: Fellow of IETE Senior Member of IEEE Listed in Marquis Who's Who in Science and Engineering (2008) Multiple commendations for teaching Communication Theory (EE622) in 2007, 2008, and 2009 Invited speaker at the International Federation of Nonlinear Analysts World Congress in Athens, Greece (2012) His professional journey includes industry experience at Indian Telephone Industries and Texas Instruments, followed by a postdoctoral fellowship at EPFL Switzerland, before joining academia at IIT Kanpur where he has made significant contributions to both research and teaching in communications engineering.