Find Academic Supervisors

• Underwater Acoustics
• Acoustic Remote Sensing
• Geoacoustic Modeling
• +5 more

Hefeng Dong is a Professor in Acoustic Remote Sensing at the Department of Electronic Systems (IES) at NTNU since 2002. She leads the Acoustics Group and focuses on underwater acoustics, geoacoustic modeling, and marine environmental impact studies. Her research integrates signal processing, seismic inversion, and distributed sensing technologies. Education: BSc/MSc in Physics (Northeast Normal University, 1983/1986), PhD in Geoacoustics (Jilin University, 1994). She held positions at SINTEF Petroleum and conducted research visits at the University of Victoria (2008–2009) and University of Delaware (2014–2015). She is a member of IEEE and the Acoustical Society of America. Research interests span underwater acoustic communication, fiber-optic sensing for geophysics, and environmental monitoring. Recent work includes advancements in distributed acoustic sensing (DAS) for seabed monitoring and underwater localization using vector sensors. Her publications emphasize machine learning applications in geophysical data analysis and signal processing. Notable contributions include studies on shear wave velocity estimation via deep learning and the development of underwater communication protocols using fiber-optic cables. She has also explored the environmental impact of low-frequency sound on marine life, integrating acoustic measurements with ecological studies. Grants and collaborations include projects on quick clay monitoring and geophysical sensing technologies for energy applications. Her academic outreach includes hands-on acoustics training courses at NTNU and international conference participation.

• Telecommunications
• Wireless Communication Systems
• Radio Localization
• +5 more

Henk Wymeersch is a Professor at Chalmers University of Technology's Communication Systems department, part of the School of Electrical Engineering. He leads the Radio Localization and Sensing research area and is affiliated with the FORCE Research Center on optical communication. His work focuses on algorithm design and system analysis for 5G/6G systems, emphasizing integrated communication, localization, and sensing. Notable contributions include RIS-aided positioning, bistatic/multistatic sensing, and joint communication-sensing frameworks. Research Interests: His primary areas include Reconfigurable Intelligent Surfaces (RIS), 6G positioning/sensing, integrated ISAC systems, mmWave/V2X positioning, and distributed radar networks. Recent work explores challenges in near-field localization, OFDM-based ISAC under hardware impairments, and privacy-preserving techniques for localization systems. Publications: Over 485 publications (2025) highlight his expertise in mmWave SLAM, RIS applications, and 6G enablers. Recent trends focus on 6G sustainability, distributed ISAC architectures, and leveraging RIS for robust localization in cluttered environments. Affiliations: Active in the Communication Systems Group and FORCE Research Center. Collaborates internationally on Hexa-X 6G projects and standards development.

Lie-Liang YangView profile

Professor

• Wireless Communications
• Wireless Networks
• Signal Processing for Wireless Communications
• +2 more

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.

Thiago Elias Bitencourt CunhaView profile

Researcher

• Wireless Communication
• Optical Wireless Communication
• Signal Processing
• +7 more

Thiago Elias Bitencourt Cunha (MSc) is a University Researcher in the Department of Electrical Engineering at Eindhoven University of Technology. He works within the Lighting and IoT Lab, focusing on optical wireless communication (OWC) systems, particularly power allocation optimization in distributed MIMO OWC, LED-based communication technologies, and signal processing for IoT applications.

• Signal Processing
• Communication Systems
• Wireless Communications
• +5 more

Assoc. Professor Jun Tong is affiliated with the School of Electrical, Computer and Telecommunications Engineering at the University of Wollongong. He holds a PhD from City University of Hong Kong and specializes in signal processing for communication systems and instrumentation, focusing on robust, low-complexity algorithms for high-dimensional signals and imperfect models. His research enhances spectrum/energy efficiency in challenging environments. Research Interests: Signal processing applications in communication systems, MIMO and 5G/6G technologies, optical systems, machine learning for signal processing, and sensor networks. He has published extensively in top-tier journals like IEEE Transactions and conferences such as ICC and MWP. Teaching & Supervision: Teaches Digital Signal Processing, Engineering Electromagnetics, and Digital Hardware. Supervises PhD/Master’s projects on topics like 6G wireless communication, MIMO systems, and light-field imaging. Current students are researching areas such as ODDM modulation and sub-THz communications. Funding & Grants: Secured grants including the Advancement and Equity Grants Scheme for Research (AEGiS) for multi-modal defect detection in manufacturing. Previously led projects on UOW-UESTC collaborations. Service & Leadership: Member of the IEEE. Actively involved in academic leadership and curriculum development within his school.

Lorenzo VangelistaView profile

Associate Professor

• Internet of Things
• Low Power Wide Area Networks (LPWAN)
• LoRa
• +7 more

Lorenzo Vangelista serves as Associate Professor of Telecommunications at the Department of Information Engineering, University of Padua, Italy, a position held since 2006. He teaches core courses including Internet of Things and Smart Cities, Telecommunications, and Project Management. His academic leadership includes chairing the Information Engineering Degree curriculum from 2010 to 2014. His research expertise spans Internet of Things , Smart Cities , 5G systems (with focus on machine-to-machine traffic), DVB systems , and OFDM-based communications . He is a pioneer in LoRa and LPWAN technologies, contributing to standardization bodies such as IEEE 802.11, 3GPP, ETSI, and the LoRa Alliance. His work integrates statistical signal processing , embedded systems design , and protocol development for next-generation wireless networks. With over 80 publications, his recent work explores LoRaWAN enhancements for satellite IoT, vehicular communications, and interstellar optical systems. Key innovations include golden modulation for massive IoT and machine learning applications for network optimization. His research bridges theoretical advances with real-world deployment, as seen in field tests for vehicle-to-roadside communication and underwater acoustic modems. Professor Vangelista has supervised nine PhD students (including a dual PhD with Supèlec, Paris) and numerous MSc theses. He led European projects PACIF and SWAP (a Marie Curie best practice) and regional initiatives. His entrepreneurial endeavors include founding Patavina Technologies (acquired by A2ASmartCity in 2017) and Wireless and More, developing IoT solutions like the LoRa Suite. He maintains strong industry ties with Nokia Bell Labs, RAI, and Wisycom, and collaborates with international research centers including CTTC. His standardization contributions notably include co-authoring foundational DVB-T2 papers and serving as ETSI Rapporteur for LPWAN-CSS.

Salma MohamedView profile

Lecturer

• Cyber Security
• Networks
• Orthogonal Frequency Division Multiplexing
• +3 more

Dr. Salma Mohamed is a Lecturer in Cyber Security and Networks at Glasgow Caledonian University. She maintains an active research profile with publications spanning from 2011 to 2025, demonstrating expertise in both optical communications and cybersecurity domains. Her research interests include: Cyber Security and Network Security Orthogonal Frequency Division Multiplexing (OFDM) systems Optical Wireless Communications Machine Learning applications for security Free Space Optical Communications MIMO systems and atmospheric turbulence effects Dr. Mohamed's publication history reveals an evolution from optical communication systems (2011-2016) toward cybersecurity applications (2025), showing how her foundation in signal processing has transitioned to address contemporary security challenges. Her fingerprint analysis confirms strong expertise in Orthogonal Frequency Division Multiplexing Systems (100%), ACO-OFDM (100%), and related optical communication technologies. She currently leads the "WIN_CYBER: Empowering Women in Cyber Security" project (2025-2026), which focuses on women's empowerment in cybersecurity with specific attention to Egypt. This initiative demonstrates her commitment to both technical research excellence and creating broader social impact within her field.

Hany ElgalaView profile

Assistant Professor

• Telecommunications
• Digital Signal Processing
• Embedded Systems
• +6 more

Dr. Hany Elgala is an Assistant Professor in the Department of Electrical and Computer Engineering at the University at Albany, State University of New York, and Director of the Signals and Networks (SINE) Lab. Previously, he served as a Research Professor at Boston University, co-leading the Multimedia Communications Lab and acting as Communications Testbed leader at the NSF Smart Lighting ERC. His research focuses on telecommunications, digital signal processing, and embedded systems, with specialization in visible light communications (VLC), LiFi networks, IoT security, and AI-driven wireless solutions. He has coordinated industrial projects with Airbus and EADS on optical wireless networks in aircraft cabins. Elgala's work emphasizes heterogeneous wireless networks, backscatter communication, and security in IoT. He has authored/co-authored ~50 publications/patents, contributing to fields like spectral efficiency, energy optimization, and network coexistence. His leadership in the SINE Lab drives innovations in 6G networks, UAV-based systems, and hybrid LiFi-WiFi architectures. His research portfolio includes breakthroughs in VLC system design, machine learning applications for physical layer optimization, and jamming-resistant IoT networks. Recent efforts focus on indoor flying networks and low-complexity VLC frameworks leveraging multi-task learning and autoencoder-based modulation.

Costas N. GeorghiadesView profile

Professor

• Statistical Communication Theory
• Wireless Communications
• Optical Communication Systems
• +7 more

Costas N. Georghiades is a Professor and Delbert A. Whitaker Chair in the Department of Electrical & Computer Engineering at Texas A&M University. He has held leadership roles including Interim Vice President for Research, Interim Department Head, and Associate Dean for Research in the College of Engineering. His research focuses on statistical communication theory, wireless communication systems, and receiver design. Education: D.Sc., Electrical Engineering, Washington University (1985) M.S., Electrical Engineering, Washington University (1983) B.E., Electrical Engineering, American University of Beirut (1980) Research Interests: His work spans fading channels, space-time coding, distributed source coding, interference rejection techniques, and optical communication systems . He emphasizes applications of information theory to practical communication challenges, including synchronization and equalization in wireless environments. Publications & Trends: Recent articles address advanced topics like faster-than-Nyquist signaling, unsourced random access in MIMO systems, and visible light communication design. His work often bridges theoretical insights with practical implementation challenges in wireless and optical domains. Awards & Recognition: IEEE Fellow (2002) 2012 IEEE Communication Theory Technical Committee Service Award Multiple endowed professorships including the Delbert A. Whitaker Chair Advising & Grants: He has advised over 50 graduate students, many contributing to foundational research in CDMA systems, MIMO detection, and network coding. His grants include support for projects on cognitive radio, OFDM systems, and secure communication protocols. Labs & Collaborations: Active in Texas A&M's Global Cyber Research Institute (GCRI) and affiliated with the Multidisciplinary Engineering program. Collaborates on initiatives like the IEEE Information Theory Society and Hamming Medal Committee.

Thomas HausteinView profile

Researcher

• Wireless Communications
• Mobile Communications
• MIMO Systems
• +7 more

Thomas Haustein is Head of the Wireless Communications and Networks Department at the Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute (HHI), Berlin, Germany. He holds a Dr.-Ing. (Ph.D.) in mobile communications from the Technical University of Berlin (2006) and has been with Fraunhofer HHI since 1997, contributing significantly to wireless systems research and standardization. His research focuses on advanced wireless technologies, including MIMO (multiple antenna systems), OFDM, real-time baseband processing, and multiuser resource allocation. He has also worked on wireless infrared communication systems, highlighting a broad expertise in both radio and optical wireless technologies. His work supports the development of next-generation wireless networks and standardization efforts. Though no specific publications or awards are listed in the provided text, his leadership role and long-term contributions indicate a strong impact in the field of wireless communications. He advises research teams and leads projects in wireless networking, though no formal students are listed. He is involved in real-time algorithm development and system design for future communication standards. Thomas Haustein leads the Wireless Communications and Networks research group at Fraunhofer HHI, overseeing projects in cutting-edge wireless technologies and standardization initiatives.

Dongyi WangView profile

Assistant Professor

• Artificial Intelligence
• Robotics
• Machine Vision
• +3 more

Dongyi Wang is an Assistant Professor in the Department of Biological and Agricultural Engineering at the University of Arkansas, where he directs the Smart Agriculture and Food Engineering (SAFE) Lab. His work bridges advanced technologies like artificial intelligence, robotics, and machine vision with agrifood manufacturing to enhance product quality, safety, and worker welfare. Ph.D. in Bioengineering from the University of Maryland, College Park B.S. in Electrical and Computer Engineering from Fudan University Visiting experience at The Chinese University of Hong Kong Research interests span smart agrifood manufacturing , robotics , machine vision , and artificial intelligence , with applications in crop monitoring, food safety, and healthcare. His lab develops solutions like automated defect detection, pathogen sensing, and sustainable processing systems. Article analysis reveals a focus on AI-driven agricultural automation , hyperspectral imaging , robotic manipulation of bio-products , and food safety innovations . Recent works include YOLO-based tomato defect segmentation, E. coli biosensing, and UAV-based blackberry monitoring. Awards & Memberships College of Engineering Dean’s Award of Excellence Rising Star Research Award (UARK) Outstanding Mentor Award (UARK) Professional memberships in ASABE and IEEE As an educator, he teaches instrumentation and artificial intelligence in agrifood manufacturing . The SAFE Lab, funded by USDA NIFA, NSF, and federal/local agencies (> $7M), prioritizes workforce development in AI/robotics for agrifood industries.

• Wireless Communications
• Mathematics
• Artificial Intelligence
• +5 more

Keivan Navaie is a Professor of Intelligent Networks at Lancaster University’s School of Computing and Communications. He serves as a member of the Independent Scientific Advisory Committee at the Alan Turing Institute, overseeing the £100 million BridgeAI programme, and previously as Principal AI Technology Advisor to the UK Information Commissioner’s Office (ICO). He is recognized with Fellowships from the Institution of Engineering and Technology (IET), Chartered Engineer status in the UK, Senior Fellowship of the Higher Education Academy (HEA), and the IEEE Young Investigator Award. Research Focus: Wireless communications, mathematics, artificial intelligence, 6G networks, blockchain technology, edge computing, cognitive radio networks, and non-orthogonal multiple access (NOMA). Supervision: Actively supervises PhD students in areas like wireless communications and mathematical modeling. Projects: Involved in distributed learning, blockchain integration, 6G research, and spectrum sharing systems. Awards: IEEE Young Investigator Award, Fellow of IET, Chartered Engineer, Senior Fellow of HEA.

Jean-Paul M.G. LinnartzView profile

Professor

• Optical Wireless Communication
• LiFi Technology
• Information Security
• +2 more

Jean-Paul M.G. Linnartz is Full Professor in the Signal Processing Systems group at Eindhoven University of Technology and Research Fellow at Signify (Philips Lighting). His research spans optical wireless communications, security systems, and signal processing algorithms. Key contributions include: Pioneering work on LiFi technology and visible light communication systems Innovations in biometric security and electronic watermarking OFDM and MC-CDMA techniques for wireless networks Publications show consistent focus on bridging fundamental algorithms with practical applications in lighting and communication systems. Recent work advances LED channel modeling and photonic communication frameworks. He holds over 75 patents and has co-founded three technology ventures. As Senior Director at Philips Research (1995-2008), he led groups in security, connectivity, and IC design. Honors include IEEE Fellowship (2011) for contributions to communications technology. Current projects include OptiLiFi (optimizing LiFi communication) and ELIoT (Enhance Lighting for Internet of Things), developing next-generation optical wireless networks.

• Optical Communication Systems
• Medical Image Segmentation
• Blockchain Technology
• +3 more

Xueguang Yuan is a researcher with expertise in optical communication systems, medical image segmentation, blockchain technology, and IoT networks. Their work spans 2009–2024, focusing on advanced sensor design, federated learning algorithms, and secure communication protocols. Key Research Areas : Optical Time-Domain Reflectometry, Graphene Metasurfaces, Thyroid Nodule Segmentation, and Federated Learning for Multi-Institutional Collaboration Recent Publications (2024): Wearable strain sensors using MXene composites, SNR optimization in Φ-OTDR systems, and polarization conversion metasurfaces for radar cross-section reduction Notable collaborations include Yangan Zhang (optical systems), Xiaohong Huang (medical AI), and Zhifang Deng (federated learning). Trends in their 2021–2024 articles highlight applications of transformers , compressed sensing , and blockchain in healthcare, 5G networks, and security. They have contributed to 5G broadcast services, satellite routing, and edge computing platforms, though no formal awards or student mentorship details are publicly listed in the provided sources.

Tong ZhouView profile

Professor

• Statistical Signal Processing
• Signal Processing for Communications
• Crest Factor Reduction
• +7 more

Dr. Tong Zhou is a Professor in the School of Electrical and Computer Engineering at Georgia Institute of Technology. She currently serves as the Director of Georgia Tech-Shenzhen and holds the title of Associate Vice Provost for Academic Affairs. Her research focuses on statistical signal processing , communications signal processing , and nonlinear system analysis . She has been instrumental in establishing Georgia Tech's academic presence in China. Education : B.Sc. from Tianjin University (1989), M.Sc. in Biophysics and Electrical Engineering from the University of Virginia (1992–1995), Ph.D. in Electrical Engineering (1995) with postgraduate research at the Tokyo Institute of Technology. Professional Roles : Editorships in IEEE Transactions on Signal Processing and leadership in IEEE Signal Processing Society committees (2000–2007). Her research interests emphasize crest factor reduction , power amplifier linearization , and OFDM systems , with applications in visible light communication (VLC) and radio interferometric positioning. Notable contributions include PAPR reduction techniques and hardware implementations for VLC systems. Awardee of prestigious honors including IEEE Fellow , NSF CAREER Award , and Steven A. Denning Award for global engagement. Her advising and grants focus on signal processing innovations. She leads the Center for Signal and Image Processing (CSIP) at Georgia Tech and oversees academic initiatives in Shenzhen.