Find Academic Supervisors

• Telecommunications
• Wireless Networks
• 5G/6G Networks
• +7 more

Dr. Seiamak Vahid is a Senior Research Fellow at the University of Surrey specializing in telecommunications and wireless networks. His research focuses on 5G/6G networks, spectrum management, cognitive radio systems, and resource allocation algorithms. He holds a PhD in communications and has contributed to major projects like the EU-funded 5GENESIS initiative. His work spans theoretical advancements and practical implementations, including contributions to IEEE 802.11ax standards and LTE-Advanced carrier aggregation techniques. Key research areas include: Dynamic spectrum sharing and aggregation Ultra-reliable low-latency communications (URLLC) Multi-connectivity and network coding Ultra-Dense Networks (UDN) performance analysis Recent projects include enhancing 5G infrastructure via Open5GENESIS trials and developing machine learning-based RAT selection for reliability. His work on IEEE 802.11ax includes BSS color schemes and interference-aware MAC protocols. Dr. Vahid has co-authored over 50 peer-reviewed publications and actively collaborates with industry partners like Ericsson and Huawei.

• 6G Wireless Communication
• Intelligent Reflecting Surfaces (IRS)
• Information Theory
• +3 more

Dott. Mag. Lorenzo Zaniboni is a Doctoral Researcher at the Institute for Communications Engineering under the Chair of Communications Engineering led by Prof. Gerhard Kramer at the Technical University of Munich (TUM). His research focuses on 6G Wireless Communication models, particularly using Intelligent Reflecting Surfaces (IRS) and Information Theory. He holds a B.Sc. and M.Sc. in Communication Engineering from the University of Parma. Education: B.Sc. in Computer Science, Electronic And Communication Engineering, University of Parma (2018) M.Sc. in Communication Engineering, University of Parma (2020) Research Interests: Lorenzo explores cutting-edge topics in wireless communication systems, including IRS-aided communications, integrated sensing and communication (ISAC), and OTFS modulation. His work addresses challenges in multi-user scenarios and non-linear channel performance optimization. Teaching Contributions: Wireless Communication Laboratory (Summer 2022–2023) Wireless Communication (Winter 2022/23–current) Multi User Information Theory (Summer 2024–current) Awards: Research Fellow Scholarship from CNIT (2021) for work on 5G multicarrier modulation formats. Thesis Topics: Supervises and offers thesis opportunities in IRS-aided communications, ISAC, and wireless communication systems.

Kofidis EleftheriosView profile

Associate Professor

• Signal Processing
• Machine Learning
• Digital Communications
• +3 more

Kofidis Eleftherios is an Associate Professor at the Department of Statistics and Insurance Science, University of Piraeus, Greece. He holds a Ph.D. in Computer Engineering and Informatics from the University of Patras (1996) and a Dipl. Ing. from the same institution (1990). His research focuses on signal processing, machine learning, digital communications, and biomedical applications, with a particular emphasis on tensor decompositions, filter bank multicarrier (FBMC) systems, and MIMO communication. He has contributed to over 70 peer-reviewed publications, including books and technical reports. Teaching responsibilities include courses such as Numerical Analysis, Operations Research, and Topics in Data Science. His research interests span signal processing for communication systems, tensor-based algorithms for multidimensional data analysis, and applications in biomedical signal processing. He has collaborated extensively on projects such as the European FP7-ICT EMPhAtiC initiative, focusing on MIMO channel estimation and distributed systems. Key research trends in his publications include: (1) tensor decomposition techniques for channel estimation and data fusion, (2) development of semi-blind receivers for MIMO systems, (3) analysis of filter bank-based multicarrier modulation for 5G/6G applications, and (4) biomedical signal processing using higher-order tensor methods. His recent work addresses challenges in RIS-enabled wireless systems and federated learning frameworks. Education: Ph.D., Computer Engineering and Informatics, University of Patras, 1996 Dipl. Ing., Computer Engineering and Informatics, University of Patras, 1990 Key Research Grants/Projects: European FP7-ICT Project EMPhAtiC (MIMO channel estimation and distributed systems) National and EU-funded initiatives on tensor-based signal processing Awards: None explicitly listed in the provided texts. Labs/Teams: Active in University of Piraeus's research groups on statistical signal processing and communications. His work bridges theoretical advancements in tensor methods with practical applications in wireless communications and biomedical engineering, emphasizing solutions for next-generation communication systems and multidisciplinary data fusion challenges.

• Wireless Communications
• 5G/6G Systems
• Signal Processing
• +5 more

H. Shaiek is a Professor at Conservatoire national des arts et métiers (CNAM Paris), affiliated with the CÉDRI Laboratory within the École d'ingénieurs. His research focuses on wireless communications, particularly 5G/6G systems, signal processing techniques, and power amplifier linearization. He completed his Habilitation à diriger des recherches (HDR) in 2022 with the thesis 'Multi-carrier waveforms for 5G and beyond systems: from power amplifier impairments to energy efficiency enhancement,' demonstrating his senior academic status in the French system. Shaiek's research interests center around wireless communications technologies, with particular expertise in power amplifier linearization, PAPR (Peak-to-Average Power Ratio) reduction techniques, FBMC-OQAM systems, and RIS (Reconfigurable Intelligent Surface) assisted communications. His work bridges theoretical signal processing with practical implementation challenges in next-generation wireless systems. Recent research has increasingly incorporated machine learning approaches for channel equalization and power amplifier post-distortion. Analysis of his publication trends from 2021-2025 reveals a clear evolution toward 6G technologies, with growing emphasis on RIS-assisted communications, cell-free MIMO architectures, and hybrid OTFS-OFDM frameworks. His work consistently addresses the practical implementation challenges of theoretical wireless concepts, particularly concerning power efficiency and hardware constraints in broadcasting and mobile systems. As an HDR holder, Shaiek supervises doctoral research and contributes to major research projects like ANR POSEIDON. His laboratory work within CÉDRI focuses on electronics and signal processing, collaborating with institutions like CEA LETI. He has developed experimental testbeds for post-OFDM waveforms and contributed to standardization efforts in next-generation broadcasting systems (DVB-T2, ATSC 3.0).

• Automatic Control
• Electrical Machines Diagnosis
• RF Power Amplifiers
• +4 more

Smail Bachir is an Associate Professor specializing in Automatic Control and Systems at the University of Poitiers, France, with affiliations at both ENSIP (École Nationale Supérieure d'Ingénieurs de Poitiers) and ISAE-ENSMA (Institut Supérieur de l'Aéronautique et de l'Espace - École Nationale Supérieure de Mécanique et d'Aérotechnique). His research focuses on electrical machines diagnosis, RF power amplifiers, and signal processing for wireless communications systems, with over 80 publications spanning from 2001 to 2024. Dr. Bachir's research interests span Automatic Control, Electrical Machines Diagnosis, RF Power Amplifiers, Signal Processing, Digital Predistortion, PAPR Reduction, and Fault Diagnosis in Induction Machines. His work bridges theoretical control systems with practical applications in wireless communications and power electronics. He has made significant contributions to the modeling and linearization of RF power amplifiers, developing novel techniques for digital predistortion that improve signal quality in modern wireless systems. His research on induction machine fault detection demonstrates his ability to address both industrial and theoretical challenges. Analysis of his recent publications reveals a strategic evolution from electrical machine diagnostics to cutting-edge RF communications technology. His most impactful work focuses on digital predistortion techniques using Feedback-Wiener models, which have advanced linearization methods for RF power amplifiers in aeronautical applications. He has also pioneered innovative PAPR (Peak-to-Average Power Ratio) reduction approaches that combine tone reservation with clipping and interleaving techniques for multicarrier systems. His 2023-2024 work on Doherty power amplifiers with 40% fractional bandwidth represents significant progress in wideband amplifier design for next-generation wireless systems. Dr. Bachir maintains strong collaborative relationships with researchers across France, frequently working with Claude Duvanaud, Tayeb Bouazza, and Jean-Claude Trigeassou. His publications appear in high-impact journals including IEEE Transactions on Industrial Electronics, IEEE Microwave and Wireless Technology Letters, and EURASIP Journal on Wireless Communications and Networking, demonstrating both academic rigor and practical relevance to industry challenges.

Vibhutesh Kumar SinghView profile

Lecturer

• Signal Processing
• Wireless Communication
• Embedded Systems
• +3 more

Dr. Vibhutesh Kumar Singh is an Assistant Lecturer in Electronic Engineering at South East Technological University (SETU) since January 2024. Previously, he worked as a Product Development Engineer at Intel Corporation and held academic positions during his PhD studies at University College Dublin (UCD). He holds a BTech from Vellore Institute of Technology (2014), an MTech from IIIT-Delhi (2016), and a PhD in Electrical and Electronic Engineering from UCD (2021). His research focuses on signal processing, wireless communication, embedded systems, and applied machine learning in resource-constrained environments. He has developed methodologies for channel estimation in FBMC-OQAM and OTFS systems, IoT-based monitoring solutions, and neural network deployment on low-RAM devices. Education: PhD in Electrical and Electronic Engineering, University College Dublin (2016–2021) MTech in Electronics and Communications Engineering, IIIT-Delhi (2014–2016) BTech in Electronics and Communication Engineering, Vellore Institute of Technology (2010–2014) Research Interests: Dr. Singh specializes in optimizing communication systems through advanced signal processing techniques. His work includes developing machine learning frameworks for embedded systems, designing efficient channel estimation algorithms, and creating IoT solutions for healthcare and infrastructure monitoring. He is particularly interested in TinyML applications for low-power, edge computing devices. Awards: Best Paper Award (Runner-Up), 2022 IEEE ComSoc Student Travel Grant, 2020 Intel MPE Division Recognition Awards (2023) Teaching & Professional Activities: Dr. Singh currently teaches courses on control systems, programming, and robotics at SETU. He has organized IEEE conferences and serves on the IEEE Professional Body. His work aligns with UN SDGs for sustainable innovation and education. Labs & Teams: He contributes to research teams focused on wireless communication testbeds and embedded system development at SETU and UCD.

Ha NguyenView profile

Professor

• Wireless Communications
• Low-Power Wireless Sensor Networks
• Internet of Things (IoT)
• +3 more

Professor Ha Nguyen (1973-2022) was a full Professor in the Department of Electrical and Computer Engineering at the University of Saskatchewan. He held the NSERC/Cisco Industrial Research Chair in Low-Power Wireless Access for Sensor Networks. He passed away on September 4, 2022, and was celebrated for his research contributions and international influence in wireless communications. Education: BEng in Electrical Engineering, Hanoi University of Technology (1995) MEng in Electrical Engineering, Asian Institute of Technology (1997) PhD in Electrical Engineering, University of Manitoba (2001) Research Interests: His work focused on low-power wireless sensor networks, IoT communications, full-duplex systems, and statistical signal processing. He contributed to areas like multicarrier communications, cooperative relaying, and channel coding techniques. Awards and Recognition: Fellow of the Engineering Institute of Canada (EIC) NSERC/Cisco Industrial Research Chair (2007–2022) Editorial Roles: He served as Associate Editor for IEEE Transactions on Wireless Communications, IEEE Wireless Communications Letters, and IEEE Transactions on Vehicular Technology. He chaired multiple conference tracks, including those at IEEE Vehicular Technology Conferences and the Canadian Workshop on Information Theory. Publications: Co-authored the textbook A First Course in Digital Communications (Cambridge University Press).

Sam PalermoView profile

Professor

• High-Speed Interconnects
• Optical Communications
• Clock Generation Circuits
• +3 more

Sam Palermo is Professor and J.W. Runyon Jr. Professor in the Department of Electrical and Computer Engineering at Texas A&M University's College of Engineering. He holds a Ph.D. from Stanford University and M.S./B.S. degrees from Texas A&M University. Palermo's research develops: High-speed electrical/optical interconnect circuits Clock generation/recovery systems (PLL/DLL/CDR) Variability-tolerant analog/mixed-signal ICs Energy-efficient wireline communications His publications demonstrate consistent innovation in integrated circuit design for optical communications, with recent work on silicon photonic transceivers, jitter-robust multicarrier systems, and radiation-hardened oscillators. Research bridges high-frequency circuit design with advanced photonics integration. Palermo has contributed to optical interconnect standards and developed testbeds for tera-scale computing interfaces. His work on CMOS-photonic integration has enabled high-bandwidth interconnects for data centers and HPC systems. He serves on technical committees for IEEE conferences including the International Solid-State Circuits Conference and Custom Integrated Circuits Conference (CICC).

• Quantum Computation
• Quantum Communication
• Quantum Cryptography
• +3 more

Laszlo Gyongyosi is a Lecturer in Quantum Information and Computation at the Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics (BME). He holds a PhD in Quantum Information (2013) and an M.Sc. in Theoretical Computer Science (2008), both from BME under Prof. Sandor Imre's supervision. His research spans quantum computation, quantum communication, quantum networking, and quantum cryptography with a focus on quantum internet architecture, entanglement distribution, and quantum key distribution protocols. Professional Experience: Research Associate in Quantum Information and Computation, BME Research Group Leader (Quantum Internet), MTA Premium Postdoctoral Research Program Researcher, School of Electronics and Computer Science, University of Southampton Researcher, U.S. Army Research Laboratory (ARL)-BME Collaboration Research Highlights: Developed entanglement gradient routing and multilayer optimization frameworks for quantum networks Proposed adaptive multicarrier quantum key distribution protocols with Gaussian modulation Studied quantum gravity thermodynamics and decoherence in superconducting qubits Co-authored the textbook Advanced Quantum Communications: An Engineering Approach (Wiley-IEEE, 2013) Publications: Over 50 journal/conference papers in top venues like Communications of the ACM , Nature Scientific Reports , and IEEE Transactions , focusing on quantum internet architectures, gate-model quantum computers, and secure quantum communication protocols.

• Quantum Information
• Quantum Computing
• Quantum Communication
• +3 more

László Gyöngyösi is a researcher at the Budapest University of Technology and Economics (BME), affiliated with the Department of Network Systems and Services and the MTA-BME Informatics Systems Research Group. His work focuses on quantum information science, particularly quantum internet architectures, quantum computing optimization, and secure quantum communication protocols. Research interests include quantum networks, resource management in distributed quantum systems, and theoretical foundations of quantum algorithms. His publications emphasize scalable quantum architectures, entanglement distribution, and cryptographic applications of quantum technologies. Recent articles explore advancements in quantum internet protocols, gate-model quantum computer dynamics, and optimization techniques for near-term quantum devices. His work contributes to both foundational theory and practical implementations of quantum technologies.

• Signal Processing
• Communication Systems
• Digital Filters
• +3 more

José Bienvenido Sáez Landete is an Associate Professor at the Universidad de Alcalá, affiliated with the Signal Theory and Communications Department. He holds a PhD from Universidad Complutense de Madrid (2006), focusing on optical signal generation for high-resolution positioning systems. His research spans signal processing, communication systems, digital filter design, and chaos theory applications. Notable contributions include work on α-spline-based filter design, validation metrics for solid mechanics models, and chaos-based modulation techniques for visible light communication systems. He has collaborated on interdisciplinary educational projects, such as competency-based curriculum development at UAH. His publications demonstrate expertise in both theoretical and applied aspects of signal processing, with applications ranging from planetary science (Mars atmospheric data analysis) to optical engineering. Research interests include: Design and optimization of digital filters using α-spline functions Chaos-based modulation for robust multicarrier systems Validation techniques for mechanical models and sensor data Interdisciplinary educational strategies in engineering curricula Recent work emphasizes parallel computing approaches for chaos indicators and novel parameterization methods in signal processing. His educational contributions address competency planning and interdisciplinary innovation in higher education. Key collaborations include projects on LED nonlinearity compensation and Mars atmospheric denoising algorithms, reflecting a dual focus on theoretical advancement and real-world applications.

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.

Tanja KarpView profile

Associate Professor

• Digital Signal Processing
• Multicarrier Communications
• STEM Education
• +3 more

Tanja Karp is an Associate Professor in the Department of Electrical and Computer Engineering at Texas Tech University's College of Engineering. She is also a U.S. Fulbright Scholar at the University of South Africa (UNISA). Previously, she served as a Senior Research and Teaching Associate at the Institute of Computer Engineering at Mannheim University, Germany. Education: Dipl.-Ing. (M.S.) and Dr.-Ing. (Ph.D.) in Electrical Engineering from Hamburg University of Technology, Germany (1993, 1997) Her research spans digital signal processing , multicarrier communications , and STEM education . She has pioneered K-12 engineering outreach initiatives, including the Get Excited About Robotics (GEAR) competition and its virtual counterpart. Over 1,200 students from 75 schools now participate annually, with a focus on diversity and inclusivity. Tanja's publications reflect a dual focus on signal processing for technical systems (e.g., radar, wireless sensors) and STEM education innovations (e.g., service-learning pedagogy, robotics competitions). Her work has grown from localized outreach to scalable national programs, emphasizing student mentorship and retention. Scientific Awards : U.S. Fulbright Scholar She leads K-12 outreach efforts , mentoring engineering students to advise younger participants in robotics challenges. Her contributions to engineering education include curriculum development for digital signal processing and service-learning courses. She also promotes international collaboration in semiconductor engineering.

• Digital Communications
• Signal Processing
• Wireless Communications
• +1 more

Dr. Damien Roque is a Full Professor at ISAE-SUPAERO (Institut Supérieur de l'Aéronautique et de l'Espace), University of Toulouse, specializing in digital communications and signal processing. His academic journey includes positions as Associate Professor (2013-2020), Temporary Assistant Professor at ENSIMAG (2012-2013), and PhD research at GIPSA-lab (2009-2012). His research focuses on faster-than-Nyquist transmission techniques , spectrum/waveform sharing for radar-communication systems , and multicarrier modulation optimization . Key methodologies include interference mitigation, synchronization, pulse shaping, and equalization over mobile radio channels. Professor Roque actively contributes to IEEE communities (AESS, ComSoc, SPS) as Associate Editor for IEEE Access and reviewer for major journals/conferences. His teaching portfolio includes Wireless Transmission Techniques, Software-Defined Radio, and Advanced Waveform Design for engineering students. Supervision highlights include 12 graduate students across PhD and Master's programs, with projects funded by DGA, Thales, Eutelsat, and academic institutions. Current research collaborations focus on cognitive waveforms, RADCOM systems, and neural network applications in synchronization.

Konstantinos VoudourisView profile

Professor

• Wireless Communications
• 5G/6G Networks
• Millimeter Wave Technology
• +4 more

Konstantinos Voudouris is a full Professor in the Department of Electrical and Electronics Engineering at the University of West Attica, Athens, Greece. Previously, he served as a full Professor at the Higher Colleges of Technology in Abu Dhabi (2015-2018) and as a Professor at the Technological Institute of Athens (2004-2015). His career spans academia, industry, and government, including roles as telecoms expert at OTE, technical advisor to the Greek Ministry of Transports and Telecommunications, and Embassy Counsellor to the EU for Telecommunications. Education: PhD in Wireless Telecommunication Systems, University of Bradford, UK Professor Voudouris's research focuses on wireless communications with emphasis on 5G/6G networks, millimeter-wave technology, antenna design, and relay networks. His work includes developing relay stations for WiMAX networks, 60 GHz transceivers, and RF energy harvesting systems. He has led significant projects such as the FP7 ICT REWIND project (5.5M€) and the WiCEAR group in the NexGenMiliwave project, demonstrating expertise in both theoretical and applied telecommunications engineering. His publication record (2024-2014) reveals consistent innovation in wireless power transfer, antenna array optimization, substrate integrated waveguide technology, and green RF solutions for mobile networks. Key trends include reducing mutual coupling in antenna arrays, enhancing industrial wireless sensor networks through distributed fusion, and developing sustainable energy harvesting techniques for 5G infrastructure. No scientific awards are listed in the provided documentation. Professor Voudouris has supervised numerous diploma and PhD theses while coordinating major research initiatives including the FP7 ICT REWIND project. He serves on the University of West Attica Quality Assurance Committee and has held significant administrative roles including chairing the Promotions Committee at HCT, coordinating the ERASMUS program, and managing the internship office for the Electronic Engineering Department. He leads the WiCEAR research group and has developed electromagnetic wave transmission prediction software to enhance laboratory instruction for electronic engineering students, demonstrating commitment to both research innovation and educational advancement.