Find Academic Supervisors

• Photonics
• Neuromorphic Engineering
• Optical Communications
• +5 more

Paul Prucnal is a Professor of Electrical and Computer Engineering at Princeton University, affiliated with the Princeton Materials Institute (PMI). He leads the Lightwave Communications Research Lab, focusing on ultrafast optical techniques for communication networks and neuromorphic photonics. His research spans optical security, CDMA networks, nonlinear signal processing, and photonic neurons. Education: Ph.D., Columbia University (1979) M.Phil., Columbia University (1978) M.S., Electrical Engineering, Columbia University (1976) A.B., Bowdoin College, summa cum laude (1974) Research Interests: Optical Network Security (eavesdropping/jamming countermeasures) Optical CDMA for broadband networks Silicon photonic neuromorphic computing RF interference cancellation in wireless systems Photonic spiking neurons mimicking biological organisms Awards: National Academy of Inventors Fellow (2017) 10+ teaching awards including Princeton's President's Award (2015) OSA/IEEE Fellowships (1992, 1997) Labs/Teams: Leads the Lightwave Communications Lab, collaborating with government/industry partners. Lab alumni like Prof. Bhavin Shastri have achieved international recognition. Grants/Publications: Over 350 journal papers, 22 U.S. patents. Authored/co-authored Neuromorphic Photonics (2017) and edited Optical Code Division Multiple Access (2019). Current projects include photonic tensor processors and real-time RF signal processing.

• Wireless Communications
• Optical Communications
• Radar Signal Processing
• +6 more

Saleh A. Alshebeili is a Professor in the Department of Electrical Engineering at King Saud University's College of Engineering, Riyadh, Saudi Arabia. With over 139 publications spanning from 1991 to 2024, his research demonstrates significant contributions across multiple engineering disciplines. His academic profile shows consistent collaboration with Saudi research institutions and international partners, particularly in communications and signal processing fields. Dr. Alshebeili's research interests span wireless communications, optical networks, radar systems, and biomedical signal processing. His work bridges theoretical signal processing with practical applications in 5G/6G communications, IoT security systems, and healthcare monitoring. The interdisciplinary nature of his research connects electrical engineering with computer science, particularly through machine learning applications for signal analysis and system optimization. His publications demonstrate expertise in both traditional signal processing techniques and emerging AI-driven approaches to engineering problems. Analysis of his recent publications (2021-2024) reveals a strong focus on next-generation communication technologies including 6G systems, optical wavelength conversion, and OAM-SDM communication. Simultaneously, he maintains active research in biomedical applications, particularly EEG signal processing for seizure detection and biometric authentication using physiological signals. His work consistently appears in top IEEE journals including IEEE Access, IEEE Transactions on Wireless Communications, and IEEE Journal of Biomedical and Health Informatics, reflecting the high quality and relevance of his research. Dr. Alshebeili has established extensive collaborations with researchers across King Saud University, particularly with Fathi E. Abd El-Samie (29 co-authored papers), Turky N. Alotaiby (22 papers), and Amr Ragheb (21 papers). These long-term collaborations suggest leadership in research groups focusing on communications systems and biomedical signal processing. His work spans theoretical development, simulation, and experimental validation, as evidenced by publications with 'Experimental Investigation' and 'Experimental Demonstration' in their titles.

David TseView profile

Professor

• Information Theory
• Wireless Communication
• Networking
• +3 more

David Tse is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He holds a Ph.D. in Electrical Engineering from the Massachusetts Institute of Technology (1994) and a B.A.Sc. in Systems Design Engineering from the University of Waterloo (1989). Education: B.A.Sc., Systems Design Engineering, University of Waterloo (1989) M.S., Electrical Engineering, MIT (1991) Ph.D., Electrical Engineering, MIT (1994) His research focuses on information theory , wireless communications , and networking , particularly on fundamental limits of communication systems, diversity-multiplexing tradeoffs, and capacity scaling in wireless networks. Selected work includes groundbreaking studies on MIMO channels , cooperative diversity , and spectrum sharing . Recent publications (2003–2007) analyze channel coherence, network capacity, and diversity-embedded coding, reflecting his emphasis on theoretical foundations of wireless communication. Key themes include fading channels, network optimization, and mathematical modeling using percolation theory and signal space approaches. Scientific Awards: IEEE Richard W. Hamming Medal (2019) National Academy of Engineering Member (2018) IEEE Information Theory Society Shannon Award (2017) IEEE Joint Paper Awards (2015, 2000, 2003) INFORMS Erlang Prize (2000) NSF CAREER Awards (1998) Okawa Research Grant (1997)

• Machine learning
• Artificial intelligence
• Big data analytics
• +8 more

Gianluca Setti is a Full Professor at the Department of Electronics and Telecommunications (DET) at Polytechnic University of Turin, where he has been serving since 2017. He previously held positions at the University of Ferrara from 1997 to 2017. His institutional roles include being the Contact Person for the Research Quality Evaluation process, Member of the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory, and Member of the University Quality Assurance Committee. He serves as Editor-in-Chief of the Proceedings of the IEEE, the first non-US editor to hold this position. Dr. Setti's research spans multiple interdisciplinary fields including machine learning, artificial intelligence, big data analytics, Internet of Things, biomedical signal processing, power electronics, and electromagnetic compatibility. His work bridges theoretical foundations with practical applications, particularly focusing on compressed sensing, neural networks, and circuit design for specialized applications. His research has significant implications for healthcare, sustainable infrastructure, and next-generation electronics. His publication record reveals a consistent trajectory from foundational work in chaotic systems and neural networks to contemporary applications in AI, IoT, and edge computing. The most recent publications demonstrate his focus on anomaly detection at the edge, neural oracles for biosignal processing, and power electronics innovations. His work shows strong integration between theoretical signal processing and practical circuit implementation. 1998 Caianiello prize (best Italian Ph.D. thesis on Neural Networks) IEEE Fellow (2006) IEEE Circuits and Systems Society Distinguished Lecturer (2004, 2015) 2004 IEEE CAS Society Darlington Award 2013 IEEE CAS Society Meritorious Service Award 2013 IEEE CAS Society Guillemin-Cauer Award 2019 IEEE Transactions on Biomedical Circuits and Systems best paper award Multiple best paper awards at major conferences including ECCTD2005, EMCZurich2005, ISCAS2011, PRIME2019, and EMCCOMPO2019 Dr. Setti has supervised numerous PhD students across various research domains including electromagnetic compatibility, signal and power integrity, communication networks, mechatronics and robotics. His research is supported by significant funding including national PRIN projects, EU-funded JTI-ECSEL initiatives, and commercial contracts. He leads the VLSILAB Group at DET, focusing on circuit architectures, embedded systems, and AI applications. His current projects include DECORI (anomaly detection), StorAIge (embedded storage for AI), PROGRESSUS (energy infrastructure), CONNECT (smart grid), and CONVERGENCE (wearable healthcare applications).

• Telecommunications
• Communication Systems
• Satellite Communications
• +7 more

Roberto Garello is a Tenured Associate Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino . He specializes in Communication Systems , Satellite Networks , and Channel Coding , with a focus on 5G/6G Technologies and Non-Terrestrial Networks . His work aligns with the School of Master’s Programmes and Lifelong Learning . Research Interests: Satellite communications systems, Direct-to-Satellite IoT constellations, Mega-constellation services in space, and physical layer advancements for 5G/6G. Teaching: Offers courses like Information Theory for Data Science , Communication and Network Systems , and Space Exploration and Resources , while supervising Applied Signal Processing Laboratory . Projects: Leads initiatives such as DitDSSS (satellite localization), RESTART (future telecommunications), and TESL@ (ICT energy efficiency). Scientific Awards: Received Best Paper Awards at CTRQ 2010 and COCORA 2013. Students: Supervises PhD candidates including Alessandro Compagnoni, Agbotiname Lucky Imoize, and Riccardo Tuninato, focusing on topics like Wireless Communication, Machine Learning, and Non-Terrestrial Networks. Publications: His recent work explores OTFS vs. OFDM, spectrum sensing algorithms, MIMO with cylindrical arrays, and 5G NTN synchronization, reflecting trends in satellite IoT and machine learning integration.

• Communications Theory
• Wireless Communications
• Information Theory
• +1 more

Dr. Ajit Kumar Chaturvedi is a Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur), specializing in Communications Theory and Systems. With decades of experience at IIT Kanpur, he has established himself as a leading researcher and educator in wireless communications and information theory. Dr. Chaturvedi earned his B.Tech (1986), M.Tech (1988), and PhD (1995) all in Electrical Engineering from IIT Kanpur, demonstrating his deep institutional commitment. His educational background reflects his dedication to academic excellence at his alma mater. His research focuses on Communications Theory and Systems, with specific expertise in Wireless Communications, Information Theory, and Spread Spectrum Systems. Dr. Chaturvedi's work bridges theoretical foundations with practical applications in modern communication technologies. His contributions have significantly advanced the understanding of signal processing techniques, multiuser detection methods, and error analysis in wireless systems. His research has direct implications for improving the reliability and efficiency of contemporary wireless communication standards. Dr. Chaturvedi's publication record demonstrates consistent contributions to communications engineering, spanning from fundamental signal processing techniques to complex system-level analyses. His work on ISI mitigation, orthogonal sequence design, and error rate analysis shows both theoretical rigor and practical relevance for real-world communication challenges. Distinguished Teacher award of IIT Kanpur (2007) Tan Chin Tuan Fellowship of NTU, Singapore (2008) Supervisor of Best B. Tech Project groups (2002, 2006, 2012) Plenary speaker at the 15th National Conference on Communications (2009) Mentor of IEEE Computer Society International Design Contest winning team (2002) As an educator, Dr. Chaturvedi has supervised numerous award-winning student projects, including three Best B.Tech Project awards. He has mentored teams to international recognition, such as the Microsoft Award for Innovation at the IEEE Computer Society International Design Contest World Finals in 2002. His office is located in ACES 201B at IIT Kanpur, where he continues to contribute to the academic and research mission of the institution.

Baibhab ChatterjeeView profile

Assistant Professor

• Biomedical IoT
• Wireless Implants
• Low-Power Circuits
• +2 more

Baibhab Chatterjee is an Assistant Professor in Electrical and Computer Engineering at the University of Florida. His research focuses on developing energy-efficient integrated circuits and systems for biomedical IoT applications, neural implants, and secure body area networks. Research interests include ultra-low power circuits for biomedical sensors, novel wireless communication techniques through human tissues, brain-computer interfaces, and hardware security for implantable devices. His lab develops innovative solutions for next-generation healthcare monitoring and intervention systems. Recent publications demonstrate expertise in wireless power transfer for implants, in-memory computing architectures, and communication techniques optimized for the human body environment. The work consistently addresses challenges of miniaturization, power efficiency, and reliability in biomedical systems. Best 3-Minute Thesis Award, IEEE Microwave Week 2020 Best Paper Awards at IEEE CICC and HOST conferences Bilsland and Andrews Fellowships

Sihem MesnagerView profile

Professor

• Symmetric Cryptography
• Coding Theory
• Finite Fields
• +10 more

Sihem Mesnager is a University Professor of Mathematics at the University of Paris VIII, affiliated with the Laboratory of Analysis, Geometry and Applications (LAGA) at Paris XIII (CNRS) and the AGC3 research group (Algebra, Geometry, Combinatorics) . She holds an adjunct professorship at Télécom Paris within the MIC2 Mathematics team of the Computer Science and Networks department (INFRES). Her work bridges pure mathematics and applied cryptography, focusing on Boolean functions, bent functions, and coding theory for secure communication and data protection. PhD in Mathematics, University of Pierre and Marie Curie (Paris VI), Sorbonne University (2002) Habilitation (HDR) in Mathematics, University of Paris VIII (2012) Research Interests Dr. Mesnager specializes in symmetric cryptography and coding theory , particularly their applications to secure digital communication, error correction, and post-quantum cryptographic protocols. Her algebraic approach employs finite fields, exponential sums, algebraic geometry, and finite geometry to analyze and construct cryptographic primitives like S-boxes, APN functions, and optimal linear codes. She also investigates algorithmic aspects of computer algebra in these domains. Scientific Awards George Boole International Prize (2020) PEDR Excellence Scientific Award (2019-2022) PEDR Excellence Scientific Award (2014-2017) Publications & Projects Her recent work includes constructing weightwise perfectly balanced Boolean functions for the FLIP cipher, optimizing Inner Product Masking schemes via coding theory, and developing post-quantum secure functional encryption using multivariate cryptography. She has contributed to Reed-Muller codes, BCH codes, and Gaussian sum-based linear codes with one-dimensional hulls, emphasizing their applications in side-channel attack resistance and quantum error correction.

• Information Theory
• Active Learning
• Decentralized Learning
• +4 more

Tara Javidi holds the Jerzy (George) Lewak Endowed Chair and is a Professor in the Department of Electrical and Computer Engineering and Halicioglu Data Science at the University of California San Diego (UCSD). She leads multiple initiatives, including serving as Founding CTO of KavAI, Co-Director of the Center for Machine Intelligence, Computing and Security, and Co-Principal Investigator (CoPI) of the NSF AI Institute TILOS. Her research focuses on stochastic analysis, design, and control of information systems, emphasizing active learning, decentralized optimization, and wireless networks. Key areas include information acquisition/utilization, stochastic control, and AI-driven communication solutions. Her work bridges theoretical foundations and practical implementations, such as drone systems for information gathering (via detecdrone.ucsd.edu) and optical data center networking. Notable contributions include end-to-end scheduling for all-optical data centers and hybrid wireless-optical architectures. Javidi is an IEEE Fellow and has received significant grants, including leading UCSD’s Schmidt AI in Science Postdoctoral Fellowship program. She actively collaborates with industry and academia, with a focus on next-generation wireless networks and decentralized systems. Education: Ph.D. in Electrical Engineering (implied from title). Affiliations: IEEE Journal of Selected Areas in Information Theory (Editor-in-Chief), CALIT2, CNS, and TILOS. Grants: NSF AI Institute TILOS ($20M over 5 years), Schmidt AI Fellowship program. Her research group emphasizes both theoretical rigor (e.g., sequential hypothesis testing) and practical testing, with applications in service drones, cognitive networks, and federated learning. Recent articles highlight advancements in optical networking, secure communication, and distributed learning protocols. Awards: IEEE Fellow, Jerzy Lewak Chair. Labs/Teams: Center for Machine Intelligence, TILOS Institute, KavAI, and UCSD’s AI in Science initiatives.

Hyuck M. KwonView profile

Professor

• Wireless Mobile Communications
• Communication Systems
• Information Theory
• +6 more

Hyuck M. Kwon is a Full Professor of Electrical and Computer Engineering at Wichita State University (WSU), part of the College of Engineering. His research focuses on wireless communications, including satellite systems, smart antennas, MIMO, and CDMA. He has held academic appointments since 1985, including visiting roles at institutions like KAIST and George Mason University. Kwon has supervised numerous PhD and MS students and has been recognized with prestigious awards, including the Dwane and Velma Wallace Outstanding Educator Award. His work spans over 100 publications and grants from agencies like the Air Force and NASA. He has developed courses such as '5G Wireless Communications' and 'Information Theory'. Education: Ph.D. in Computer, Information and Control Engineering, University of Michigan (1984) MSEE, Seoul National University (1980) BSEE, Seoul National University (1978) Research Interests: Wireless communications and networks Smart antennas and MIMO systems 5G/6G technologies Signal processing for communications Anti-jamming and secure communications Grants and Awards: Over $2M in research funding from the Air Force, NASA, and industry partners Awarded multiple Air Force Summer Faculty Fellowships (2014–2016) Nominated for NAI Fellow (2017) Lab/Teams: Active in developing advanced communication systems, including satellite digital beamforming and nano-antenna research with metamaterials.

Dan RaphaeliView profile

Researcher

• Trellis Coded Modulation
• Decoding Algorithms
• Turbo Codes
• +8 more

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

H. Vincent PoorView profile

Professor

• Signal detection & estimation
• Statistical signal processing
• Wireless networking
• +4 more

H. Vincent Poor is a distinguished academic currently serving as the Dean of Princeton University's School of Engineering and Applied Science and the Michael Henry Strater University Professor of Electrical Engineering. He also holds a Visiting Professor position at Imperial College London's Electrical & Electronic Engineering department. B.E.E. and M.S. in Electrical Engineering from Auburn University M.A. and Ph.D. in EECS from Princeton University His research spans signal processing, information theory, and wireless systems, with a focus on robust techniques, stochastic analysis, and quantum communication. His work has driven advancements in MMSE detection, finite-blocklength coding, and quickest detection theory. He has advised 37 doctoral and 57 postdoctoral researchers, many of whom hold prominent roles globally. His recent publications highlight innovations in communication theory, quantum channels, and detection algorithms. These include foundational work on MMSE multiuser detection, iterative processing in wireless systems, and theoretical frameworks for quickest detection applications. 2011 IEEE Eric E. Sumner Award 2005 IEEE James H. Mulligan, Jr., Education Medal 2002 NSF Director's Award for Distinguished Teaching Scholars Multiple honorary doctorates and fellowships As principal investigator on over 50 research grants, Poor has led groundbreaking projects in signal processing and wireless networking. His visiting roles at institutions like Stanford, Harvard, and Imperial College further underscore his global academic influence.

• Signal Processing
• Image Processing
• Speech Enhancement
• +3 more

Mohamed Najim is a Professor at IMS Bordeaux (Laboratoire de l'intégration, du matériau au système) affiliated with the University of Bordeaux. He is a member of the Signal and Image Processing research group within the MOTIVE team, where he conducts cutting-edge research in multidimensional signal processing and image analysis. His work spans theoretical developments in signal modeling and practical applications in speech enhancement, image colorization, and communication systems. Professor Najim's research interests focus on advanced signal processing techniques, with particular expertise in autoregressive modeling, Kalman filtering, generative adversarial networks, and multidimensional system analysis. His work bridges theoretical signal processing with practical applications in image processing, speech enhancement, and wireless communications. He has made significant contributions to the development of novel algorithms for texture analysis, channel modeling, and noise reduction in various signal processing contexts. The analysis of his publication record spanning over 25 years reveals a consistent research trajectory focused on fundamental signal processing techniques with expanding applications into modern deep learning approaches. His recent work demonstrates a clear progression from traditional signal processing methods toward integrating machine learning techniques, particularly evident in his 2023 SPDGAN paper which combines manifold learning with generative adversarial networks for image colorization. Throughout his career, Professor Najim has maintained strong theoretical foundations while adapting to emerging technologies in the field. Mohamed Najim has supervised numerous research projects and collaborated extensively with colleagues across institutions. His work shows consistent funding support through participation in various research programs focused on signal processing applications. He has maintained active research collaborations with institutions including CNRS and HESAM University. Professor Najim conducts his research within the IMS laboratory, a leading research center for integration from materials to systems. The laboratory provides state-of-the-art facilities for signal processing research, including specialized computing resources for image processing and speech analysis. His work within the MOTIVE team focuses on developing innovative approaches to complex signal processing challenges across multiple application domains.

Anestis TerzisView profile

Professor

• Digital System Design
• FPGA Technology
• Camera Monitor Systems
• +6 more

Professor Anestis Terzis serves as a Professor of Digital Systems Design and Head of the Institute for Communication Technology (IKT) at Technische Hochschule Ulm within the Faculty of Electrical Engineering and Information Technology. He coordinates the International Electrical Engineering Program and is responsible for the Vehicle Systems specialization. His office is located in Room W2405 at Albert-Einstein-Allee 53-55, 89081 Ulm, Germany. Professor Terzis specializes in digital system design with focus on FPGA, VHDL, and high-level design methodologies. His research spans Camera Monitor Systems (CMS) for automotive mirror replacement, advanced camera-based driver assistance systems, vehicle electronics, digitalization in laboratory didactics, and autonomous driving technologies. He has pioneered work in digital mirror systems compliant with ISO 16505 standards and has contributed significantly to image processing for automotive applications. His publication record demonstrates consistent contributions to automotive imaging technology, with recent work focusing on image compression impacts on detection quality, CMS image quality parameters, and programmable processing for autonomous vehicles. Professor Terzis has edited the comprehensive Handbook of Camera Monitor Systems published by Springer, establishing himself as a leading authority in this specialized field. As Head of the Institute for Communication Technology, he leads research initiatives connecting digital systems design with automotive applications. He also serves as Coordinator for the Study with In-depth Practice program and is a member of the Institute for Vehicle System Technology (IFS), demonstrating his commitment to both theoretical advancement and practical implementation in automotive electronics.

Elvino Silveira SousaView profile

Professor

• Wireless Communication
• Telecommunications
• Network Architecture
• +5 more

Elvino Silveira Sousa is a Professor at the University of Toronto's Department of Electrical and Computer Engineering, holding the Jeffrey Skoll Chair in Computer Networks and Innovation. His career spans over 30 years in wireless communication research. Education: PhD in Electrical Engineering (University of Southern California, 1985) Key Affiliations: Wireless Lab (Founder/Director), IEEE Fellow Research Interests focus on advanced wireless systems including: Autonomous infrastructure wireless networks Cognitive radio and spectrum management 5G/Next-generation cellular architecture Smart antenna and software radio systems Scientific Contributions include: Over 150 peer-reviewed publications Foundational work in transmitter diversity (IEEE Fellow citation) Chair roles at PIMRC 95, Globecom '99, PIMRC 2011, WPMC2010 Awards & Recognition: IEEE Fellow (2000) Queen Elizabeth II Golden Jubilee Medal (2002) IEEE TCPC Recognition Award (2002) New Pioneers Science Award (2003)