Find Academic Supervisors

• Surface Electromagnetics
• Metasurfaces
• Reconfigurable Intelligent Surfaces (RIS)
• +7 more

Mohsen Khalily is an Associate Professor in Antennas and Propagation at the University of Surrey's Institute for Communication Systems (ICS) within the School of Computer Science and Electronic Engineering. He leads the Surface Electromagnetics Laboratory (SEMLAB) and has secured over £4.5M in research grants. His work focuses on surface electromagnetics, metasurfaces, THz communication, and RIS standardization within ETSI. Education & Research: Holds senior IEEE membership and fellowships in Higher Education. Research spans metasurface engineering, RIS applications, and antenna design for 5G/6G. Notable contributions include reconfigurable intelligent surfaces for ISAC and THz on-chip communication using topological insulators. Publications & Impact: Authored 250+ papers and 4 book chapters. Key areas include holographic beamforming, wave-domain computing, and OAM multiplexing. Recent work explores STAR-RIS for sensing/communication coexistence and quantum optimization of metasurfaces. Grants & Collaborations: Led projects like PREMIER (£750k), RIS-Enabled ISAC (£450k), and Flexi-DAS (£1.2M). Collaborates with global experts like Prof. Ahmed Kishk (Concordia) and Prof. Zhi Ning Chen (NUS).

Atta ul QuddusView profile

Lecturer

• Wireless Communications
• 5G/6G Networks
• Machine Type Communication
• +3 more

Dr. Atta ul Quddus is a Lecturer in Wireless Communications at the University of Surrey's Institute for Communication Systems (ICS), part of the School of Computer Science and Electronic Engineering. He holds an MSc (2000) and PhD (2005) in Satellite and Mobile Cellular Communications from the University of Surrey. His research focuses on 5G/6G networks, including Machine Type Communication, Full Duplex systems, and Cloud Radio Access Networks. He leads UK/EU projects like BeFEMTO and iJOIN and developed a widely used PHY simulator for industry. Research interests: Machine-to-Machine (M2M) communication, Full Duplex systems, Cloud RAN, Device-to-Device (D2D) communications, and Cell-Sweeping techniques. Notable contributions include enhancing cell-edge throughput via Cell-Sweeping and developing novel modulation schemes like C-GQSM and GAM-FSM. Publications span 2025-2021, emphasizing advances in MIMO, NOMA, and RIS (Reconfigurable Intelligent Surfaces). Key achievements include the 2004 Vodafone-sponsored Research Excellence Prize for adaptive filtering work. Current projects explore integrated communication-sensing systems, haptic feedback, and low-complexity decoders for Polar/LDPC codes. Awards: CCSR Research Excellence Prize (2004) Grants: EU FP7 BeFEMTO, iJOIN; 5GIC research program Collaborations: Industry partnerships with network operators and chip manufacturers Labs/Teams: Active contributor to ICS's 5G Innovation Centre (5GIC), focusing on future wireless systems.

• Electronics
• Semiconductor Devices
• Integrated Circuits
• +3 more

Felice CRUPI is a Full Professor of Electronics at the University of Calabria since 2018, with prior roles as Associate Professor (2002-2018). He leads the Electrical Characterization of Semiconductor Devices section at the Nanoelectronics and Microsystems Laboratory (NML) and coordinates international collaborations with institutions like IMEC, IBM, and Purdue University. Education: PhD in Electronic Systems Engineering (University of Florence, 2001), MS in Electronic Engineering cum Laude (University of Messina, 1997) Research Interests focus on CMOS device reliability , low-frequency noise modeling , 2D material applications in electronics, and power-efficient circuits . His work spans device characterization, GaN/SiC power electronics, and hardware security through PUFs. Grant Leadership includes major European projects like GaN4AP (GaN power applications), Five2D (2D integrated electronics), and REACTION (SiC pilot lines). He has secured funding for radiation-hard memory design and international collaborations. Scientific Awards : Best paper, IEEE Ecuador Technical Chapters Meeting (2018) Best paper, IEEE International Conference on Microelectronics (2008) IEEE Senior Member (since 2014) Academic Service includes editorial roles (IEEE Transactions on Device and Materials Reliability), conference organization (INFOS 2021 General Chair), and PhD supervision of >10 students. He has taught internationally in Ecuador, China, Finland, Belgium, and Spain.

Raffaele De RoseView profile

Assistant Professor

• Device/Circuit Modeling
• Low-Power CMOS Design
• Hardware Security
• +2 more

Raffaele De Rose is an Assistant Professor at the Department of Computer Engineering, Modeling, Electronics and Systems Engineering (DIMES) at the University of Calabria. His research focuses on device/circuit modeling and co-design in emerging technologies, ultralow-voltage and low-power CMOS circuit design, hardware-level security, and electrical characterization of electronic devices. B.S. and M.S. in Electronic Engineering (cum laude) from the University of Calabria (2007, 2009) Ph.D. in "Psychology of Programming and Artificial Intelligence" from the University of Calabria (2012) His work spans hardware security, including the development of advanced PUF architectures, and energy-efficient circuit design for STT-MRAM and RRAM technologies. Recent publications highlight innovations in voltage references for energy-harvesting systems and 2D material-based security devices. Scientific recognition includes Senior Member of the IEEE Associate Editor of the IEEE Transactions on VLSI Systems (since 2021) He contributes to teaching in electronics and sensors, and is a key member of the Laboratorio di Nanoelettronica e Microsistemi research group, which focuses on multidisciplinary electronics research including device modeling, IC architectures, and sensor systems.

• Physical Channel Modeling
• Communication Channel Characterization
• Fading Channels
• +7 more

Almir Marić is an Associate Professor at the Department of Telecommunications, Faculty of Electrical Engineering, University of Sarajevo. He earned his Bachelor's, Master's, and PhD degrees in Telecommunication Engineering from the same university in 2010, 2013, and 2020, respectively. His academic activities focus on wireless communication channels and network modeling. Bachelor's in Telecommunication Engineering (2010) Master's in Telecommunication Engineering (2013) PhD in Telecommunication Engineering (2020) Marić's research explores physical channel modeling , communication channel characterization , and fading channel analysis . He develops geometric-based stochastic channel models and works on network simulators for emerging technologies like 5G. His recent work integrates quantum cryptography into modern communication frameworks. His publications reveal a focus on digital communication , network security , and signal processing . Key topics include TWDP fading models , Nakagami-m distribution , and SDN programmability . Collaborative efforts with researchers like P. Njemcevic and E. Kaljic appear across multiple domains. Best Paper Award at MCSS'17 conference Marić teaches courses on Mobile Communications , RF Circuit Design , and Teletraffic Theory , contributing to both theoretical and practical aspects of telecommunications education.

Jingyi LiaoView profile

Researcher

• Ambient Backscatter Communication
• Cellular Communication Systems
• Internet of Things (IoT)
• +3 more

Jingyi Liao is a doctoral researcher at Aalto University's School of Electrical Engineering, where they are affiliated with the Department of Information and Communications Engineering. Their research focuses on Ambient Backscatter Communication systems, leveraging LTE and cellular infrastructure for energy-efficient IoT and wireless communication. Education: Master of Engineering in Communication Engineering (2018), University of Electronic Science and Technology of China Bachelor of Engineering in Electronic Engineering (2014–2018), University of Electronic Science and Technology of China Research Interests: Jingyi's work centers on integrating backscatter communication with cellular networks, particularly exploring LTE pilots and ambient signals for low-power IoT devices. Their key contributions include real-time backscatter communication systems, energy-autonomous devices for 6G, and receiver design leveraging commercial cellular infrastructure. Techniques such as coded modulation and channel estimation are critical to their work, aiming to enhance efficiency and scalability in wireless communication systems. Recent Trends in Publications: Jingyi's articles emphasize practical implementations, including low-cost multi-antenna receivers and open-source prototyping. Their 2025 work on Ambient IoT integration with cellular systems highlights advancements in system design and network interoperability. Earlier research (2020–2021) explored radar signal detection, showcasing interdisciplinary skills in signal processing. Awards: HPY Research Foundation 2025 grants (2025) Most downloaded paper award (2024) Activities: Jingyi's 2024–2025 visit to the University of Houston advanced collaboration on 6G network applications. Their work has been recognized through citations (e.g., 7 citations for their 2023 IoT demo paper) and open-access dissemination.

• Wireless Communications
• MIMO Systems
• Spatial Modulation
• +3 more

Lixia Xiao is a Research Fellow at the Faculty of Engineering and Physical Sciences of the University of Surrey. Her research focuses on advanced wireless communication systems, particularly in MIMO configurations, spatial modulation techniques, and OFDM-based systems. She specializes in optimizing transmission efficiency through methods like compressive sensing, index modulation, and polarization modulation, with an emphasis on reducing hardware complexity (e.g., RF chains) while maintaining high spectral efficiency. Her work addresses challenges in non-coherent detection, channel estimation, and error probability analysis for next-generation communication systems. Key contributions include novel schemes such as STBC-QSM, G-QSM, and DCT-OFDM-IM, which enhance throughput and reliability in environments like massive MIMO and 5G networks. Xiao’s research also explores practical implementations of these techniques, balancing theoretical analysis with empirical validation. Publications highlight her focus on system design, signal detection algorithms, and performance optimization under diverse channel conditions. While her work is highly technical, it consistently bridges theoretical advancements with real-world applicability in wireless communication systems.

Hung Viet NguyenView profile

Research Fellow

• Quantum Communications
• Cooperative Communications
• Channel Coding
• +6 more

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.

• Coded Modulation with Probabilistic Shaping
• Shannon Theory
• LDPC Codes
• +7 more

Georg Böcherer is a Lecturer at the Chair of Communications Engineering at the Technical University of Munich (TUM), under Prof. Gerhard Kramer. He holds a PhD and habilitation in Electrical Engineering. His research focuses on probabilistic shaping, LDPC codes, and fiber-optic communication systems. He has received notable awards including the Bell Labs Prize (2015) and the E-Plus Dissertation Award. Education: MSc from ETH Zürich, PhD from RWTH Aachen University, habilitation at TUM. Research Interests Coded Modulation with Probabilistic Shaping: Overcoming the shaping gap in communication systems. LDPC Codes and Protograph Design: Optimizing low-density parity-check codes for shaped bit-metric decoding. Fiber-Optic Systems: Enhancing spectral efficiency through probabilistic amplitude shaping (PAS) and rate-adaptive coding. Information Theory: Distribution matching, entropy rate analysis, and algorithmic approaches for random process simulation. Key Contributions Developed PAS schemes achieving near-capacity performance, demonstrated experimentally in fiber-optic systems. Co-organized workshops like the Munich Workshop on Coding and Modulation (MCM 2015). Active in teaching courses on channel coding, information theory, and coded modulation. Awards Bell Labs Prize (2015) Best Paper Award, ISWCS 2011 E-Plus Dissertation Award Grants & Collaborations Involved in projects like Probabilistic Amplitude Shaping (PAS) and Constant Composition Distribution Matching . Collaborates with institutions like Bell Labs, UCLA, and TU Munich's LNT communications group.

• Telecommunications
• Networking
• Signal Processing
• +3 more

Abdulkarim Al Hanif holds a Doctor of Philosophy and is affiliated with the Department of Electrical & Electronic Engineering. His research focuses on telecommunications and networking, particularly in non-orthogonal multiple access (NOMA), multiuser communication systems, and signal processing. Recent work includes analyzing bit error rates (BER) in NOMA networks under interference and arbitrary user configurations. His academic contributions include two notable publications in 2024: an IEEE Communications Letters article on multi-user NOMA interference analysis and a conference paper at WCNC on unified BER analysis for downlink NOMA systems with scalable users and modulation schemes. No awards or grants are explicitly mentioned in the provided text. He has not listed any advisees or teams/labs associated with his work.

Mohammad Al-JarrahView profile

Researcher

• Wireless communications
• Signal processing
• IoT security
• +2 more

Mohammad Al-Jarrah is a Research Associate in Cyber Security at the University of Manchester's Department of Computer Science. His technical expertise spans wireless communications, signal processing, and IoT security, with recent focus on integrated sensing-communication systems and reconfigurable intelligent surfaces. Research highlights include: Optimization of IRS-assisted NOMA systems Simultaneous communication-localization frameworks Kullback-Leibler divergence applications in ISAC Underwater acoustic source localization He contributes to developing efficient algorithms for 5G/6G networks and IoT security, with publications in signal processing and wireless communications. Previously served as Lecturer at Salman bin Abdulaziz University and Lab Instructor at Khalifa University.

Xu XuView profile

Assistant Professor

• Digital Authoritarianism
• Political Repression
• Political Economy of Development
• +3 more

Xu Xu is an Assistant Professor of Politics and International Affairs at Princeton University. His research focuses on digital authoritarianism, political repression, and the political economy of development in China. He is currently working on a book titled Authoritarian Control in the Age of Digital Surveillance . Xu has also explored public opinion dynamics in authoritarian regimes, propaganda mechanisms in Chinese digital media, and state-society interactions in China. Education: Xu earned a Ph.D. in Political Science from Pennsylvania State University in 2019. He completed a postdoctoral fellowship at Stanford University from 2020 to 2021. Research Interests: Xu’s work critically examines how authoritarian regimes leverage digital technologies for governance and control. He investigates the socio-economic impacts of political repression, including anti-corruption campaigns and their effects on economic development. His expertise in Chinese politics and comparative political economy provides a foundation for analyzing state-society dynamics in the digital age. Selected Projects: Ongoing research includes the societal acceptance of social credit systems in China, the economic consequences of anti-corruption crackdowns, and the role of new media in authoritarian propaganda. Scientific Awards: Xu Xu received the Best Dissertation award from the Information Technology and Politics Section of the American Political Science Association in 2020 and the Raymond E. Lombra and Roberta Lombra Outstanding Graduate Research Award from Penn State University in 2019. Advising & Grants: No formal advisees or grant information is provided in the text. His postdoctoral fellowship at Stanford University may indicate grant-supported research during that period.

Franco ChiaraluceView profile

Professor

• Telecommunications
• Coding Theory
• Cryptography
• +3 more

Prof. Franco Chiaraluce is a Full Professor in the Department of Information Engineering at Marche Polytechnic University (UNIVPM). His research focuses on telecommunications, coding theory, and information security, with particular emphasis on LDPC codes, post-quantum cryptography, and blockchain-based systems. University: Marche Polytechnic University (UNIVPM) Department: Department of Information Engineering Email: f.chiaraluce@univpm.it His recent work explores machine learning applications in space communications, error correction mechanisms, and secure decentralized authentication protocols. Key subfields include code-based cryptography, space telecommand systems, and blockchain integration for security. Current projects involve optimizing LDPC codes for space transmissions and analyzing cryptographic hardness assumptions related to coding theory.

Evan LucasView profile

Assistant Professor

• Machine Learning
• Signal Processing
• Environmental Sensing
• +4 more

Evan Lucas serves as an Assistant Professor in the Department of Computer Science at Michigan Technological University, with research activities centered at the Great Lakes Research Center (GLRC). His work bridges theoretical machine learning with practical environmental monitoring applications, focusing on signal processing systems for real-world deployment. Dr. Lucas specializes in Machine Learning for Signal Processing with particular emphasis on Environmental Sensing applications. His technical portfolio includes Image Enhancement algorithms for underwater systems, Acoustic Signal Processing for marine environments, and cutting-edge research on Large Language Model Memorization and Watermarking techniques. His methodologies often combine classical signal processing with modern deep learning approaches to solve challenging environmental monitoring problems. Analysis of his recent publications reveals strong interdisciplinary connections between computer science and environmental engineering. His work shows increasing focus on AI security aspects, particularly in developing watermarking solutions for large language models, while maintaining active contributions to underwater acoustic communication systems and indigenous language preservation technologies. Through his GitHub presence with 28 repositories and 104 starred projects, Dr. Lucas demonstrates substantial software engineering contributions to the research community. His projects include practical implementations like the batch-image-enhacement pipeline and specialized tools for Ojibwe dialect analysis, indicating both technical depth and commitment to real-world applications.

• Telecommunications
• Wireless Communications
• Spread Spectrum Systems
• +6 more

Nenad D. Milošević serves as a Full Professor at the Faculty of Electronic Engineering, University of Niš, Serbia, appointed in 2023 within the Department of Telecommunications. His academic foundation spans three decades at this institution, reflecting deep institutional integration and expertise in wireless systems engineering. His educational milestones include: Bachelor's degree in Electronics and Telecommunications (1997) Master's degree in Telecommunications (2000) PhD in Telecommunications (2007) Professor Milošević's research program centers on wireless physical-layer innovations, with sustained contributions to spread spectrum techniques, interference mitigation, and mobile channel modeling. His work bridges theoretical signal processing with practical wireless implementations, particularly in frequency hopping systems for ad hoc networks and performance optimization under real-world impairments like carrier offset and atmospheric turbulence. This focus has yielded 20 impact-factor publications demonstrating technical depth across IEEE and IET venues. Analysis of his publication timeline reveals evolving specialization: early work (1997-2002) established core methodologies for interference rejection in DS-SS/QPSK systems, while recent efforts (2012-2018) address next-generation challenges including 4G/5G experimental platforms, M-distributed FSO channels, and mobile-to-mobile Weibull fading statistics. This progression underscores consistent relevance to contemporary wireless infrastructure demands. He currently leads one national research project, though specific grant details remain unspecified in source materials. No scientific awards or student advisement records are documented in the provided CV. As a core faculty member within the Telecommunications Department, he operates within the Faculty of Electronic Engineering's structured research ecosystem, which includes dedicated laboratories for wireless communications, though explicit lab affiliations are not itemized in the source text.