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Xiaolin WuView profile

Professor

• Image Processing
• Multimedia Coding and Communication
• Computer Vision
• +7 more

Dr. Xiaolin Wu is a Professor in the Department of Electrical & Computer Engineering at McMaster University's Faculty of Engineering. With expertise in image processing, multimedia coding, computer vision, and artificial intelligence, he has made groundbreaking contributions to visual/multimedia computing and communication. His research has resulted in over 350 publications and four patents, including the renowned CALIC algorithm for lossless image coding and L3 codec for digital cinema. B.Sc. from Wuhan University (1982) Ph.D. from University of Calgary (1988) Dr. Wu's research spans critical areas such as image restoration (demosaicing, denoising, superresolution), multimedia coding (JPEG, wavelet transforms), and information display (Temporal Psychovisual Modulation). His work on TPVM, featured in MIT Technology Review, redefines display technology by leveraging human vision properties for multi-user VR/AR experiences. Recent publications focus on deep learning applications for image/video restoration, including multi-modality approaches and l∞-constrained compression. His algorithms, such as fast color quantizers and compressive sensing recovery methods, have been widely adopted in industries like medical imaging and digital cinema. Dr. Wu also holds an NSERC Senior Industrial Research Chair and has collaborated with global tech leaders including Microsoft, Nokia, and Huawei. IS&T/SPIE Best Paper Award UWO Distinguished Research Professor Award McMaster Distinguished Engineering Professor Award IEEE Fellow As an educator, Dr. Wu teaches courses in image processing, discrete methods, numerical analysis, and parallel computing, emphasizing algorithm design, data structures, and real-time systems. His work bridges academic research with industrial applications, ensuring practical impact across biomedical imaging, digital security, and smart display technologies.

Stuart InglebyView profile

Senior Lecturer

• Quantum Technology
• Optical Magnetometry
• Atomic Physics
• +7 more

Dr. Stuart Ingleby is a Senior Lecturer and Chancellor’s Fellow in the Department of Physics at the University of Strathclyde, Faculty of Science. His research focuses on the development of portable, high-sensitivity optical magnetometers for practical applications in medicine, navigation, and environmental monitoring. His research interests include: Quantum-enabled magnetic sensors Compact atomic and optical systems Real-time data acquisition and processing Low-noise precision electronics for sensor interfaces His recent publications demonstrate a strong trend in advancing optically pumped magnetometers (OPMs) for field deployment, with applications ranging from GNSS-denied navigation to space weather monitoring and biomedical imaging. The work emphasizes miniaturization, enhanced sensitivity, and robust hardware-software integration. Scientific awards received: University of Strathclyde Chancellor's Fellowship (2021) Dr. Ingleby leads and co-investigates multiple research projects funded by EPSRC, UK Space Agency, and industry partners such as AWE plc. He is actively involved in the UK Quantum Technology Hub in Sensing, Imaging and Timing (QuSIT), contributing to quantum-enabled positioning and navigation systems. He mentors PhD students and collaborates extensively within interdisciplinary teams. His work includes both theoretical modeling and experimental development of atomic sensors. He is a peer reviewer for journals including Optics Express , Advanced Optical Technologies , and European Physical Journal Quantum Technology , reflecting his standing in the quantum sensing community.

Vittorio ScardaciView profile

Lecturer

• Physical Chemistry
• Nanotechnology
• Carbon Nanomaterials
• +3 more

Vittorio Scardaci is a Lecturer in Physical Chemistry at the Department of Chemistry, University of Catania. With a PhD in Engineering from the University of Cambridge (2009), his career spans academic research and industrial R&D at Hewlett-Packard Ireland (2008-2013) before returning to academia in 2018. His work focuses on carbon nanomaterials , plasmonic nanoparticles , and photonic composites , with over 50 peer-reviewed publications (h-index 27) and 2 patents. His recent research includes graphene oxide reduction , metallic nanowire networks , and ultrafast laser applications . Publications highlight plasmonic sensing , nanoparticle aggregation , and photonic device integration of nanomaterials. He is co-inventor of transparent conductive films and optical saturable absorbers . Scardaci's work intersects material synthesis , optical characterization , and applied device fabrication . He collaborates with international institutions and contributes to projects in nanostructured materials for sensors and photonic systems . His expertise spans chemical processing , nanotube-polymer composites , and laser-materials interaction .

• Antenna Design
• Dielectric Lenses
• Transmit-arrays
• +11 more

Jorge Rodrigues da Costa is a Full Professor at the Department of Information Science and Technology (ISTA), Instituto Universitário de Lisboa (ISCTE-IUL), where he also serves as Vice-Rector. He is a Senior Researcher and Coordinator of the Antenna and Propagation Group at the Institute of Telecommunications – IUL. His academic career is deeply rooted in electrical and computer engineering, with a focus on advanced antenna systems and propagation technologies. His educational background includes a Licenciado (1997) and Ph.D. (2002) in Electrical and Computer Engineering from Instituto Superior Técnico (IST), Lisbon, and an Agregação (2010) from ISCTE-IUL. He is a Senior Member of IEEE and has held editorial positions in top journals including IEEE Transactions on Antennas and Propagation and IEEE Open Journal of Antennas and Propagation. His research interests span antenna design (dielectric lenses, transmit-arrays, RFID, MIMO, UWB), biomedical applications (microwave imaging for breast cancer and bone fracture detection), and millimeter-wave systems for 5G, satellite, and beyond-6G communications. He has contributed over 200 publications, with extensive work in IEEE journals, and co-authored four patents. His recent publications (2023–2024) highlight advancements in environmental remote sensing (plastic litter detection), medical diagnostics (bone and breast imaging), and high-performance antenna systems (low-profile transmitarrays, beam steering, 3D-printed antennas). These works reflect a strong trend toward interdisciplinary research combining electromagnetics, biomedical engineering, and sustainable technologies. He has received recognition as a Senior Member of IEEE and has been actively involved in major European projects such as TERRAMETA, aimed at shaping future 6G technologies. Jorge Costa has supervised 7 PhD theses (as supervisor or co-supervisor), 26 MSc theses , and 7 research grants , demonstrating a strong commitment to academic mentorship. He has also led research teams in developing innovative antenna systems for satellite, medical, and 5G applications. His work is supported by affiliations with the Institute of Telecommunications and active collaboration with international research groups. He leads the Antenna and Propagation Group – Lx at IT Lisboa and contributes to the Wireless Technologies thematic line. His team is engaged in cutting-edge projects including microwave imaging systems, low-power cancer screening, and roadmap development for post-6G communications.

Diana Pamela Moya OsorioView profile

Associate Professor

• Wireless Communications
• Signal Processing for Wireless Communications
• Physical Layer Security
• +7 more

Diana Pamela Moya Osorio is Associate Professor at the Communication Systems Division, Department of Electrical Engineering, Linköping University, Sweden, and an ELLIIT recruited faculty. She previously held positions as Senior Research Fellow and Adjunct Professor at the Centre for Wireless Communications, University of Oulu, Finland, and Assistant Professor at the Federal University of São Carlos, Brazil. Education: B.Sc. in Electronics and Telecommunications Engineering, Armed Forces University, Ecuador (2008) M.Sc. in Electrical Engineering (Telecommunications and Telematics), University of Campinas, Brazil (2011) D.Sc. in Electrical Engineering (Telecommunications and Telematics), University of Campinas, Brazil (2015) Her research focuses on wireless communications , particularly signal processing for wireless systems , physical layer security , and integrated sensing and communications (ISAC) . These areas are central to the development of secure and efficient 6G networks. She investigates how wireless signals can be leveraged for both communication and environmental sensing, enhancing network intelligence and security through physical layer techniques. Her recent publications explore advanced topics such as fluid antenna systems , bistatic backscatter communication , beamforming design , and radio-over-fiber propagation . These works reflect a strong trend toward energy-efficient, secure, and high-resolution wireless systems, aligning closely with the goals of next-generation 6G networks. The integration of sensing and communication functionalities is a recurring theme, indicating a forward-looking research agenda focused on dual-use technologies. Scientific Service and Recognition: Associate Editor, IEEE Wireless Communications Letters Associate Editor, IEEE Communications Letters Associate Editor, IEEE Transactions on Information Forensics & Security Working Group Leader, Trustworthy 6G, Cost Action 6G-PHYSEC Diana Moya Osorio actively mentors PhD students and leads significant research initiatives. She is Principal Investigator (PI) for projects including HIGH-SENSE (ELLIIT), ALERT (WASP), and CO-ISAC (Vinnova), and holds leadership roles in 6GTANDEM (HORIZON-JU). Her grants are funded by major national and international agencies, reflecting the high impact and competitiveness of her work. As main supervisor, she advises Henrik Åkesson and Palatip Jopanya; as co-supervisor, she supports Ahmet Kaplan and Dexin Kong. She contributes to academic education by teaching graduate courses such as Information and Communications Engineering , Sensor Array Systems , and a PhD course on Modern Radar Systems . Her lab and research group are embedded within the Communication Systems Division at Linköping University, focusing on next-generation wireless technologies, particularly in the context of 6G and ISAC systems.

• Microwave Engineering
• Terahertz Technology
• Antenna Measurement Systems
• +7 more

Jan Kristof Dausien is a Researcher at the Microwave Systems department within the Faculty of Electrical Engineering and Information Technology at Ruhr-University Bochum. His work focuses on advanced microwave and terahertz technologies, including sensor development, dielectric waveguide systems, and radar applications. He collaborates with Prof. Ilona Rolfes and other researchers in projects such as KI-ROJAL, PINK, and Terahertz-NRW. Research Interests: Design and characterization of dielectric waveguides for THz systems FMCW radar techniques for material imaging and ranging Integration of fluidic components into THz sensors Automated robotic antenna measurement systems Non-destructive testing using radar tomography Publications highlight his contributions to THz biosensors, environmental signal propagation studies, and innovative waveguide splitter designs. His work bridges theoretical simulations with practical applications in antenna systems and material characterization. Lab/Team: Part of the Microwave Systems team, contributing to projects like PluTO+, 6GEM, and Plaque-CharM. Collaborates with Fraunhofer Heinrich Hertz Institute (FHR) on sensor technologies.

Kevin LuView profile

Teaching Professor

• Optical Networks
• Telecommunications R&D
• Internet of Things (IoT)
• +7 more

Kevin Lu is a Teaching Professor and Associate Dean for Undergraduate Studies at the Charles V. Schaefer, Jr. School of Engineering and Science at Stevens Institute of Technology . He holds a D.Sc. in Systems Science and Mathematics from Washington University in St. Louis and has over 40 years of experience in telecommunications R&D, academia, and standards development. Lu's career spans roles at Bellcore/Telcordia, Broadcom, and Stevens Institute of Technology. IEEE Life Senior Member since 1980 2018 transition from industry to academia after 28 years at Bellcore/Telcordia 2024 recipient of IEEE Standards Association Distinguished Service Award Research Interests: Focus on optical networks , telecommunications infrastructure , and Internet of Things education. His work explores network survivability , data integrity in AI systems , and passive optical network deployment . Current teaching includes courses on Digital System Design and Internet of Things . Standards Leadership: Lu chairs the IEEE Standards Board Industry Connections Committee and has served on multiple IEEE SA committees since 2005. His 2024 award recognized governance leadership in industry-standard development processes. Academic Contributions: Lu transitioned to full-time academia in 2018 after serving as Adjunct Professor at Stevens since 2015. His teaching philosophy emphasizes lifelong learning and soft skill development alongside technical knowledge. He received Stevens' Henry Morton Distinguished Teaching Professor Award and departmental teaching/service awards.

Stefanos PapadakisView profile

Lecturer

• Software Defined Radio
• Cognitive Radios
• Radio Resource Management
• +5 more

Stefanos Papadakis serves as a Research Staff Scientist at the Telecommunications and Networks Laboratory (TNL) of the Institute of Computer Science at Foundation for Research and Technology-Hellas (FORTH) and holds an Adjunct Lecturer position in the Department of Computer Science at the University of Crete. Since 2001, he has pioneered hardware and software prototyping at TNL-FORTH, currently leading the Software Defined Radio (SDR) group he established to drive vertical integration from physical layer design to application development. His educational foundation includes a Physics degree (2001) and M.Sc. (2004) and Ph.D. (2009) in Computer Science, all earned at the University of Crete. Teaching responsibilities encompass core courses CS-330: Introduction to Telecommunication Systems Theory and CS-435: Network Technology & Programming. Papadakis' research spans wireless innovation frontiers including software-defined/cognitive radios, spectrum sharing, heterogeneous networking, position location, radio propagation modeling, and emergency communications. His work emphasizes practical implementation, yielding functional prototypes across the entire communications stack. Notable contributions include GPU-accelerated SDR frameworks, robust spectrum virtualization techniques, and emergency response communication systems validated through international competitions. Analysis of his 15 most recent publications (2010-2016) reveals dominant themes in SDR optimization for IoT and critical communications, with significant focus on GPU parallelization, interference management in dense networks, and real-time spectrum sharing mechanisms. His experimental approach consistently bridges theoretical models with hardware validation, particularly in emergency response and heterogeneous network scenarios. Key recognitions include: Ericsson Award of Excellence in Telecommunications for position location research First place in PENED doctoral proposal competition Fourth place in IEEE DySPAN 2015 5G Spectrum Challenge Second place in Virginia Tech ShaRC 2016 with the 'Skynet' cognitive radio system Mentorship spans 16 undergraduate projects (11 completed), 8 M.Sc. students (3 completed theses), and 1 Ph.D. candidate. His research is sustained through major EU and national projects including REDComm (emergency communications), EU-MESH (metropolitan networks), RERUM (IoT security), and Heraklion smart city initiatives. The SDR group maintains critical infrastructure like the Heraklion metropolitan wireless network, FORTH campus network, and specialized mobile emergency nodes equipped with multi-radio SDR platforms, satellite transceivers, and high-performance computing resources.

• Audio and Speech Processing
• Signal Processing
• Image Processing
• +3 more

Serkan KESER is an Associate Professor in the Department of Electrical and Electronics Engineering at the Faculty of Engineering and Architecture, Ahi Evran University, Turkey. He has been serving as a full-time faculty member since 2018 and previously served as Head of Department from 2018-2021. His educational background includes a PhD in Electrical and Electronics Engineering from Eskişehir Osmangazi University (2009-2018), a Master's degree in the same field from the same institution (2005-2008), and a Bachelor's degree in Electrical and Electronics Engineering from Mustafa Kemal University (1999-2005). Dr. KESER's research focuses on three main areas: Audio and Speech Processing : Including speaker identification, isolated word recognition, and speech coding techniques Signal Processing : With applications in fiber optic sensor systems and acoustic positioning Image Processing : Covering face recognition, image compression, and denoising techniques His recent publications demonstrate a strong trend toward integrating machine learning and deep learning approaches with traditional signal processing methods. He has made significant contributions in applying subspace methods to various domains including speech recognition, image processing, and sensor technologies. His work often bridges theoretical signal processing concepts with practical applications in areas like smart home systems, medical imaging, and environmental monitoring. Dr. KESER has successfully supervised five Master's students to completion, with thesis topics spanning deep learning applications for class attendance systems, photovoltaic systems, speaker identification, brain tumor classification, and speech-controlled robotic arms. He has led four research projects, including development of fiber optic motion sensors, smart home models using Arduino microcontrollers, and science outreach initiatives. His teaching portfolio includes advanced courses in digital image processing, artificial neural networks, digital signal processing, and machine learning at both undergraduate and graduate levels. Dr. KESER's research impact is reflected in his publication metrics: 30 total publications with 117 citations (h-index 5) through the UNIS system, 25 publications with 180 citations (h-index 6) on Google Scholar, and strong representation in Scopus and Web of Science databases.

• Smooth Muscle Physiology
• Gastrointestinal Motility
• Urinary Bladder Physiology
• +6 more

Sal Baker is an Associate Professor in the Department of Physiology and Cell Biology at the University of Nevada, Reno School of Medicine, where his research centers on smooth muscle physiology in the gastrointestinal tract and urinary bladder. His work investigates the regulatory mechanisms of contractility through pacemaker interstitial cells of Cajal and neural neurotransmission, with emphasis on calcium signaling pathways in health and disease states. Education: Diploma in Biomedical-Industrial Studies with Distinction, University of Ulster, United Kingdom B.Sc. (Hons.) in Biomedical Sciences, University of Ulster, United Kingdom Ph.D. in Cellular and Molecular Physiology and Pharmacology, University of Nevada, Reno Dr. Baker's research program focuses on elucidating molecular mechanisms of calcium signaling in interstitial cells of Cajal and smooth muscle tissues. His investigations span gastrointestinal motility disorders, bladder dysfunction, and the electrophysiological basis of pacemaker activity, with particular attention to how ion channels and neural inputs regulate contractile behaviors. This work has direct implications for understanding functional bowel disorders and developing targeted therapies. Analysis of his publication record reveals a consistent trajectory in gastrointestinal and urinary physiology, with a significant expansion into computational approaches since 2022. His recent work integrates machine learning techniques for medical image analysis—particularly in ophthalmology and gastrointestinal imaging—while maintaining core focus on calcium dynamics in interstitial cells. This dual trajectory demonstrates translational innovation from basic cellular physiology to diagnostic applications.

• Breast Cancer Metastasis
• Cytoskeletal Dynamics
• Tumor Suppressor Genes
• +3 more

Michele Vitolo is an Assistant Professor in the Department of Pharmacology & Physiology at the University of Maryland School of Medicine. Her research focuses on understanding the molecular mechanisms of breast cancer metastasis, particularly the role of PTEN loss and microtentacle formation in tumor progression. She has developed innovative models and assays to study cytoskeletal dynamics and signaling pathways in cancer cells. University of Maryland Baltimore (PhD, 2004) Franklin and Marshall College (BS, 1995) Dr. Vitolo's research investigates how tumor suppressor gene inactivation affects cancer cell behavior. Key areas include: PTEN loss-induced microtentacle formation Interplay between PI3K and Ras/MAPK pathways Calcium signaling in metastatic processes Epigenetic regulation of cytoskeletal networks Development of novel cell tracking methodologies Identification of therapeutic targets for metastatic disease Her work has been recognized through the NCI Mentored Scientist Research Award. Dr. Vitolo has authored numerous publications examining: Cytoskeletal alterations in detached cancer cells Role of tubulin modifications in metastasis Signaling mechanisms promoting tumor cell reattachment Therapeutic approaches targeting microtentacle formation

Sébastien LorangerView profile

Assistant Professor

• Photonics
• Fiber Optics
• Laser Technology
• +5 more

Sébastien Loranger is an Assistant Professor at Polytechnique Montréal in the Department of Electrical Engineering . His research focuses on photonics , laser technology , and optical sensing , with applications in space communications, distributed sensing, and photonic device fabrication. Education: PhD (2018), MSc (2014), and Baccalaureate (2012) in Engineering Physics from Polytechnique Montréal, followed by a postdoctoral fellowship at the Max-Planck Institute for the Science of Light in Germany. Industry experience: Research and development roles at Photonova Inc. and ITF Technologies prior to academia. Research Interests include: Femtosecond laser writing of photonic components Optical fiber sensing (distributed temperature/strain/magnetic field) THz radiation generation and anti-resonant fiber design Space applications of photonics (optical power beaming, lunar environment) Optimized Raman fiber lasers and Bragg gratings His recent publications (2024-2025) emphasize ultrafast photonics , laser-material interactions , and space-ready optical systems . He supervises graduate students like Foroogh Jafari and collaborates with institutions globally. Key affiliations include the POLY-GRAMES Research Center and the Max-Planck Institute .

Murat UysalView profile

Professor

• Communication Theory
• Wireless Communication
• Optical Communication
• +10 more

Murat Uysal is a Professor and Founding Chair of Electrical and Electronics Engineering at Özyeğin University, Istanbul, Turkey. He serves as Founding Director of the Center of Excellence in Optical Wireless Communication Technologies (OKATEM) and leads the CT&T Research Group. Previously, he was a tenured Associate Professor at University of Waterloo, Canada. B.Sc., M.Sc., and Ph.D. in Electrical/Electronics Engineering from Istanbul Technical University and Texas A&M Specializes in wireless and optical communication theory, with 400+ publications and 17,000+ citations Holds 3 US patents in vehicular and visible light communication Research focuses on physical layer aspects of wireless systems across radio and optical bands, including: Underwater and vehicular visible light communication Free space optical systems with UAV support Cooperative communication and diversity techniques Channel modeling for Li-Fi and industrial environments Recent publications show strong emphasis on: Underwater optical communication optimization UAV-assisted FSO systems LED response modeling for VLC Multi-hop relay systems Key scientific awards include: IEEE Fellow (2019) NSERC Discovery Accelerator Award Turkish Academy of Sciences Distinguished Young Scientist Award Multiple IEEE Best Paper Awards Advises 14 graduate students across M.Sc. and Ph.D. programs. His research group maintains collaborations with: IEEE Transactions on Communications (Area Editor) IEEE standards development (802.11bb, 802.15.7r1) Hyperion Technologies (co-founder)

Víctor Manuel Brea SánchezView profile

Associate Professor

• Computer Vision
• Electronic Design of Intelligent Devices
• CMOS-3D Hardware Implementation
• +2 more

Víctor Manuel Brea Sánchez is an Associate Professor at the Research Center on Intelligent Technologies (CiTIUS) within the University of Santiago de Compostela (Spain). His work focuses on hardware implementations for computer vision and CMOS-3D technologies . Research Areas : Computer Vision, Electronic Design, Low-Power Embedded Systems Projects : AZOR (Search, Location, Rescue), Power Management Unit Chip for Energy Harvesting His recent publications emphasize CMOS-based vision sensors , analog computing-in-memory , and spatio-temporal feature extraction . Trends include deep learning acceleration, event cameras, and hardware for real-time object detection. Scientific contributions include the Best Paper Award at the 2003 European Conference on Circuit Theory and Design. Collaborations with researchers like Manuel Mucientes and Paula López highlight interdisciplinary efforts in AI-driven hardware design.

Greg D. FieldView profile

Adjunct Associate Professor

• Neurobiology
• Retinal Processing
• Neural Adaptation
• +7 more

Greg D. Field is an Adjunct Associate Professor of Neurobiology at Duke University and a Faculty Network Member of the Duke Institute for Brain Sciences. His laboratory investigates retinal processing of visual scenes, focusing on functional connectivity, light adaptation, circadian rhythms, and retinal degenerative conditions. Using multi-electrode arrays, transgenic mouse models, and chemogenetics, he examines how retinal circuits encode visual information and how degeneration impacts signaling. Recent work addresses neural adaptation mechanisms, retinal mosaics, and potential therapies for retinal diseases. Research Themes : Retinal circuit organization, neural adaptation, visual signal processing, retinal degeneration, and optogenetics Technologies : Multi-electrode recordings, light-sheet microscopy, computational modeling, and transgenic approaches The 15 most recent publications (2010-2025) demonstrate his work on retinal ganglion cell function, visual hierarchy encoding, and therapies for photoreceptor degeneration. Grants from the National Institutes of Health (2015-2025) support studies on neural population mapping, comparative biology, and retinal circuit restoration. His work bridges theoretical neuroscience with clinical applications, particularly in developing interventions for blindness.