جستجوی استاد راهنمای دانشگاهی

Ashley Stewartمشاهده پروفایل

پژوهشگر ارشد

• Neuroimaging
• Quantitative Susceptibility Mapping
• Magnetic Resonance Imaging
• +۳ مورد دیگر

Dr Ashley Stewart is a Research Fellow at the School of Electrical Engineering and Computer Science , University of Queensland , specializing in Quantitative Susceptibility Mapping (QSM) and Neuroimaging . Her work focuses on developing automated MRI analysis pipelines and improving clinical applications of neuroimaging techniques. Research Interests Development of automated neuroimaging pipelines (e.g., QSMxT, Neurodesk). Quantitative susceptibility mapping for traumatic brain injury and cortical iron quantification. MRI acceleration techniques (CAIPIRINHA, compressed sensing). Integration of deep learning in neuroimaging reconstruction. Clinical translation of QSM for oncology and neurodegenerative disorders. Current Funding 2025-2026: Precision Brain Susceptibility Mapping for Large-Scale Neurogenetic Research 2025-2026: Enabling the Clinical Translation of Neuroimaging Analyses through Automated Benchmarking

• Inverse Problems
• Applied and Computational Harmonic Analysis
• Statistical Signal Processing
• +۴ مورد دیگر

Dr Dimitrios Roxanas is a Teaching Professor in the Department of Mathematics and Statistics at the University of Sheffield, UK. He serves as the Undergraduate Research Experience Coordinator and Advisor for the Sheffield SIAM-IMA Student Chapter. His career includes roles as a University Teaching Associate (2019–2021) and University Teacher (2019 at Bath University) before joining Sheffield. He holds a PhD in Mathematics from the University of British Columbia (2017), an MSc in Applied Mathematics from the National Technical University of Athens (2011), and a BSc/MEng in Electrical and Computer Engineering (2009). His research focuses on applied mathematical analysis, with expertise in inverse problems, statistical signal processing, compressed sensing, and probability. He also investigates partial differential equations (PDEs), harmonic analysis, geometric analysis, and mathematical control theory. His work bridges pure and applied mathematics, addressing challenges in nonlinear PDEs and their applications to imaging and signal estimation. Publications highlight contributions to energy-critical heat equations, harmonic map dynamics, and global solution analysis. Teaching responsibilities include foundational courses in pure mathematics (e.g., analysis), metric spaces, and skills development in mathematics. He collaborates within the Analysis research group at Sheffield, advancing interdisciplinary research in mathematical sciences.

• Triboelectric Nanogenerators
• Energy Harvesting
• Textiles
• +۳ مورد دیگر

Akshaya Aliyana serves as a Research Associate at Heriot-Watt University's School of Textiles & Design in Edinburgh, United Kingdom, conducting cutting-edge research in triboelectric energy harvesting systems integrated with smart textiles. Her work directly supports UN Sustainable Development Goals for clean energy and sustainable industry innovation through practical textile-based energy solutions. Research Focus: Triboelectric Nanogenerators (TENGs) Textile-Based Energy Harvesting Wearable Electronics Integration Smart IoT Carpets and Sensors 3D-Printed Conductive Fabrics AI-Optimized Sensor Networks She pioneers material fabrication techniques including direct 3D printing of triboactive polymers and compression mechanics optimization to develop self-powered sensing systems for real-world textile applications. Her interdisciplinary approach bridges electrical engineering, materials science, and textile technology to create sustainable energy solutions. 2025 Publication Trends: Recent works demonstrate concentrated advancement in TENG standardization, flexible supercapacitor development, and AI-driven sensor optimization. Key themes include IoT-enabled energy harvesting carpets, twistable yarn supercapacitors, and performance evaluation frameworks—all targeting commercial implementation of textile-based energy systems. Scientific Recognition: No awards or honors documented in available records. Mentorship & Funding: No information available regarding graduate student supervision or research grant acquisition. Research Ecosystem: Collaborates with international teams across materials science and engineering disciplines; work aligns with Heriot-Watt's textile sustainability initiatives though specific laboratory names remain unstated in public profiles.

• Quantum Entanglement
• Photonics
• Quantum Information Science
• +۳ مورد دیگر

Natalia Herrera Valencia serves as a Research Associate at the Institute of Photonics and Quantum Sciences within Heriot-Watt University's School of Engineering & Physical Sciences. Her work centers on experimental quantum photonics, specifically manipulating high-dimensional quantum states for advanced information processing. Her research spans quantum entanglement engineering , photonic quantum computing , and noise-resilient quantum communication . Key specialties include structured light control, optical fiber networks for entanglement distribution, and tomographic reconstruction of complex quantum states. She investigates fundamental limits of quantum systems under losses and decoherence. Recent publications (2024-2025) reveal a concentrated effort in scalable quantum photonic architectures , with emphasis on multiplexed networks, inverse-designed optical circuits, and parallelized Bell tests. These works collectively advance high-dimensional quantum information protocols using integrated photonics platforms. Dr. Herrera Valencia actively collaborates with the quantum photonics group at Heriot-Watt, particularly within Mehul Malik's research team. Her experimental work leverages the university's state-of-the-art quantum optics facilities for generating and characterizing entangled photon states in complex media.

Pedro Porto Buarque de Gusmãoمشاهده پروفایل

مدرس

• Computer Vision
• Navigation under adverse conditions
• Sensor Fusion
• +۴ مورد دیگر

Pedro Porto Buarque de Gusmão is a Lecturer in Computer Science at the University of Surrey, affiliated with the Computer Science Research Centre within the School of Computer Science and Electronic Engineering. His research focuses on Computer Vision, Navigation under adverse conditions, Sensor Fusion, and Distributed Machine Learning. He leads projects in federated learning, autonomous systems, and robotic navigation, contributing to frameworks like Flower, a widely used federated learning library. His work emphasizes advancing federated learning techniques for privacy-preserving distributed systems, with notable achievements including winning the First Prize in the NIST Privacy-Enhancing Technologies Prize Challenge (2023). His publications span conferences like ICCV, USENIX Security, and IEEE Transactions, addressing topics such as federated learning optimization, 3D lane detection, and thermal-inertial SLAM. Key contributions include developing methods like L-DAWA for federated visual learning and FedVal for federated model validation. His research also integrates multimodal sensor data for autonomous navigation systems, leveraging mmWave radar and thermal-inertial fusion. He actively contributes to open-source projects and collaborates with industry on privacy-aware machine learning solutions.

Fan Yangمشاهده پروفایل

استادیار مدعو

• Networking Protocols
• Internet Architecture
• Telecommunications
• +۳ مورد دیگر

Fan Yang is an Adjunct Assistant Professor at Boston University and the lead of Google’s networking protocol team. He specializes in internet architecture and protocol engineering, notably driving Google’s industry-first deployment of HTTP/3 over QUIC, which significantly improved latency for Google services. His research focuses on optimizing network protocols, satellite communications, and OFDM systems. Education: PhD in Computer Science from the University of Delaware (2015), where he worked in Professor Paul D. Amer’s Protocol Engineering Lab. Research Interests: Developing scalable internet protocols, enhancing TCP and multipath TCP performance, and applying advanced signal processing techniques to wireless communication challenges. His work bridges theoretical protocol design with real-world internet-scale deployment. Key technical contributions include QUIC protocol specifications, non-renegable selective acknowledgments (NR-SACKs), and channel estimation methods for OFDM systems. His publications span topics from HTTP/3 implementation to satellite-based TCP optimizations. Labs/Teams: Previously associated with the Protocol Engineering Lab at University of Delaware. Currently leads Google’s networking protocol team responsible for cutting-edge internet infrastructure projects.

• Deltas
• Geomorphology
• Climate Change
• +۷ مورد دیگر

Prof. Hans Middelkoop is a Professor of Physical Geography - Global Change Geomorphology at Utrecht University, affiliated with the Faculty of Geosciences. He leads the Water, Climate & Future Deltas Hub under the strategic theme Pathways to Sustainability, collaborating with interdisciplinary teams to design sustainable delta development pathways. His research focuses on delta dynamics, climate change impacts, river morphodynamics, and sediment management in regions like the Rhine-Meuse, Mekong, and Mississippi deltas. Key affiliations include the Netherlands Centre for River Studies and the Dutch Centre for River Research. Research interests span delta sustainability, subsidence, sediment transport, and the interplay between human activities and geomorphic processes. He has pioneered studies on adaptive management strategies, subsurface heterogeneity in dike stability, and the socio-ecological implications of delta development. Recent work addresses global change scenarios for deltas, sedimentation-enhancing strategies, and subsidence projections in the Mekong delta. He has published widely on fluvial systems, floodplain management, and the application of remote sensing and modeling tools. Over 100 peer-reviewed articles highlight his contributions to understanding deltaic processes and informing policy through integrated frameworks. Hub Leadership: Water, Climate & Future Deltas Hub (Pathways to Sustainability) Key Projects: Future Deltas initiative, Rhine sediment budget analyses, Mekong subsidence modeling Techniques: Remote sensing, numerical modeling, sediment budgeting, paleoflood reconstruction His work bridges academia, policy, and practice, emphasizing co-creation with stakeholders to achieve climate-resilient delta management. Current research explores pathways to sustainability through integrated socio-biophysical frameworks and adaptive governance strategies.

• Wireless Communications
• 5G/6G Networks
• Massive MIMO
• +۶ مورد دیگر

Maged Elkashlan is a Professor in the Department of Electronic Engineering at Queen Mary University of London, UK. He specializes in wireless communications, with a focus on 5G/6G systems, massive MIMO, reconfigurable intelligent surfaces (RIS), and ultra-reliable low-latency communication (URLLC). His research spans physical layer security, energy-efficient networks, and non-orthogonal multiple access (NOMA). He has authored over 200 papers in top-tier journals and conferences and holds editorial roles in IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology, and others. He has supervised numerous PhD students, including current scholars working on RIS and cell-free MIMO. His teaching includes courses on digital signal processing, communication theory, and wireless communications at Queen Mary, the University of Sydney, and the University of New South Wales. He has organized major symposiums at IEEE ICC and VTC, and his work has been recognized through best paper awards and industry collaborations. Editorships: IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology, IEEE Transactions on Molecular, Biological and Multi-Scale Communications Key Research Areas: Cell-Free Massive MIMO, RIS-aided systems, NOMA, URLLC, physical layer security Recent Activities: Symposium co-chair for IEEE VTC 2018 and ICC 2018, guest editor of IEEE Communications Magazine special issues on millimeter-wave and green media Grants & Funding: China Scholarship Council (CSC) for PhD students, various research grants supporting RIS and URLLC projects

Ebroul Izquierdoمشاهده پروفایل

استاد

• Multimedia Signal Processing
• Machine Vision
• Image Processing
• +۷ مورد دیگر

Professor Ebroul Izquierdo holds a position at Queen Mary University of London's School of Electronic Engineering and Computer Science. His academic background includes a BSc, MSc, and PhD. He specializes in Multimedia Signal Processing, Machine Vision, and Mathematical models in image processing. His research focuses on video coding, computer vision, AI applications in agriculture, and security systems. He leads major grants such as the £305k Smart Farm project and the £370k SHIFT initiative. His work includes innovations in camera calibration for sports videos, self-supervised learning models, and federated learning architectures. He is affiliated with the Centre for Multimodal AI and collaborates with organizations like BBC and Innovate UK. His email is ebroul.izquierdo@qmul.ac.uk . Research Grants : Smart Farm and Agri-environmental Big Data Space (£305,116 EPSRC) SHIFT Project (£370,577 EPSRC) KTP: Machine Learning for Sport Broadcast Graphics (£214,061 Innovate UK) Labs & Teams : Centre for Multimodal AI, collaborating with BBC and EU Horizon 2020 initiatives.

Clive Pariniمشاهده پروفایل

استاد

• Microwave and Millimeter-Wave Antenna Measurements
• Compact Antenna Test Ranges
• Array Antenna Design
• +۵ مورد دیگر

Clive Parini is a Professor of Antenna Engineering at Queen Mary University of London, affiliated with the School of Electronic Engineering and Computer Science and leading the Antennas & Electromagnetics Research Group. He holds a BSc(Eng) and PhD from Queen Mary College, University of London. His career includes significant contributions to antenna design, measurement techniques, and metamaterials. He has authored over 300 papers and co-authored the book 'Principles of Planan Near-Field Antenna Measurements' (2008). His research focuses on microwave/millimeter-wave antennas, compact test ranges, array design, and body-centric communications. Prof. Parini has received notable awards, including the IEE Measurements Prize (1990) and BAE Systems Bronze Award (2002). He is a Fellow of the IET and Royal Academy of Engineering. His leadership roles include Director of Research for the School of Electronic Engineering & Computer Science and past Chair of the IET Antennas & Propagation Professional Network. Research highlights include metamaterials for antennas, on-body communication systems, and high-frequency imaging. His work bridges academic and industrial applications, with contributions to 5G, satellite antennas, and compact test range technologies. Recent articles emphasize advanced measurement techniques, compressive sensing, and drone-based systems for antenna testing. Teaching spans undergraduate and postgraduate levels, covering satellite systems, microwave electronics, and research techniques. His work integrates computational electromagnetics, antenna diagnostics, and emerging 5G/6G challenges, ensuring his research remains impactful across academia and industry.

Yi Maمشاهده پروفایل

استاد

• Semantic Communication
• Machine Learning for RF Design
• MIMO Technology
• +۶ مورد دیگر

Prof. Yi Ma is a Chair Professor at the Institute for Communication Systems (ICS) and the Home of the 6G Innovation Centre (6GIC) at the University of Surrey. He holds a Professorial rank in the School of Computer Science and Electronic Engineering. His research focuses on semantic/effective communication, machine learning for RF and physical layer design, MIMO technology, and opportunistic networking. Current PhD students include Yupeng Zheng, Ashkan Jafari, Zohre M. Bakhsh, and Mehdi Tafazolli. Research interests span scalable quantum-based wireless communications, distributed hybrid beamforming, and satellite communication systems. Recent publications highlight advancements in SA-MIMO, non-uniform quantization, and distributed MIMO-LEO networks. Prof. Ma teaches courses such as EEEM017 and EEE3006, and serves as an EEE examination officer. His work integrates theoretical contributions with practical applications, emphasizing future wireless systems and sensing technologies. Collaborations with industry and academia, including projects on 6G innovation, underscore his commitment to cutting-edge research.

Kimberly Brewerمشاهده پروفایل

دانشیار

• Molecular Imaging
• Cancer Immunotherapy
• MRI Cell Tracking
• +۲ مورد دیگر

Dr. Kimberly Brewer is an Associate Professor at Dalhousie University with joint appointments in the School of Biomedical Engineering, Department of Diagnostic Radiology, Department of Physics and Atmospheric Science, and Department of Microbiology & Immunology. She serves as the scientific lead of the Biomedical MRI Research Lab (BMRL), a core facility within the Biomedical Translational Imaging Centre (BIOTIC) located at the IWK Health Centre. Her research program focuses on molecular imaging technologies for therapeutic development, with particular emphasis on: Developing novel MRI/PET techniques for quantitative cell tracking Evaluating cancer immunotherapies in preclinical models Creating diagnostic and prognostic biomarkers for clinical translation Advancing multi-modality PET/MRI methodologies Current projects include MRI monitoring of immune cell populations in cancer immunotherapy, development of quantitative cell tracking algorithms, and preclinical applications of PET/MRI technology. Her recent publications (2017-2021) demonstrate strong focus on quantitative imaging techniques for therapeutic monitoring, particularly using MRI and PET to track immunotherapy responses, develop novel contrast agents, and optimize dosimetry for radioembolization therapies. Dr. Brewer actively seeks students interested in interdisciplinary research projects at the intersection of biomedical engineering, oncology, and medical physics.

• Materials Engineering
• Medical Physiology
• Sports Science and Exercise
• +۷ مورد دیگر

Dr. Braid Macrae is a Senior Research Fellow in the Department of Fashion & Textiles at RMIT University, specializing in advanced textile applications for extreme environments, biomedical engineering, and human physiological systems. His work integrates material science with clinical and aerospace applications, particularly focusing on compression garments, thermal regulation systems, and extravehicular activity (EVA) technologies for space exploration. Research interests include: Textile-based solutions for spaceflight (e.g., skinsuits, pressure garments) Thermal physiology and sensor technology validation Cerebrovascular autoregulation and cardiovascular dynamics Material properties of protective clothing for firefighting and occupational safety Notable contributions include developing mechanical-loading countermeasure skinsuits to mitigate post-spaceflight sensorimotor dysfunction and advancing methodologies for contact thermometry in clinical and environmental settings. His interdisciplinary approach bridges fashion design, biomedical engineering, and aerospace systems. Collaborations involve international teams in aerospace medicine, materials engineering, and physiology, with active participation in conferences such as the International Conference on Environmental Systems. Current research emphasizes optimizing wearable technology for extreme environments and translational applications in healthcare and space exploration.

Mitch Marcusمشاهده پروفایل

استاد

• Statistical natural language processing
• Cognitively plausible models
• Linguistic structure acquisition

Mitch Marcus is a Professor Emeritus in the Department of Computer and Information Science at the University of Pennsylvania's School of Engineering and Applied Science. He earned his Ph.D. from MIT in 1978 and joined Penn in 1987 after working at AT&T Bell Laboratories. His research focuses on statistical natural language processing and cognitively plausible models for automatic acquisition of linguistic structure. Dr. Marcus created and led the Penn Treebank Project, which revolutionized natural language parsing accuracy. He has served as PI on multiple major projects including DARPA LORELEI and GAILA AIX, focusing on unsupervised morphology acquisition and child language acquisition simulations. Awards: Fellow of American Association for Artificial Intelligence (1992) Founding Fellow of Association for Computational Linguistics (2011) Advising: His former PhD students hold positions at institutions including MIT, Johns Hopkins, Google, and Microsoft Research. Research groups: Directed the Penn Treebank Project and co-led the OntoNotes Project. Currently collaborates on natural language understanding for human-robot interaction.

• Synthetic Aperture Radar (SAR)
• Interferometric SAR (InSAR)
• Coherent Change Detection (CCD)
• +۱۱ مورد دیگر

Dr Daniel Andre is a Lecturer in Radar at Cranfield University, affiliated with the Centre for Electronic Warfare, Information and Cyber within the Cranfield Defence and Security school. He leads the Cranfield Ground-Based SAR Laboratory (GBSAR Lab), conducting cutting-edge research in Synthetic Aperture Radar (SAR), interferometry, and multistatic imaging. Education: PhD in Applied Mathematics Joint Honours BSc in Mathematics and Physics His research interests span Synthetic Aperture Radar (SAR) , Interferometric SAR (InSAR) , Coherent Change Detection (CCD) , Bistatic and Multistatic Radar , Through-Wall Imaging , Polarimetry , and Remote Sensing . His work integrates applied mathematics with radar phenomenology to solve complex defense and security challenges. The recent publications reveal a strong trend in experimental and computational SAR research, particularly in multistatic 3D imaging , polarimetric coherence analysis , near-field effects , and through-wall transmission modeling . His team leverages laboratory-based SAR systems to validate novel algorithms under controlled conditions. Scientific Awards: John Benjamin Memorial Prize (UK Civil Service Scientist Innovation Award, 2011) Simon Fellowship, Isaac Newton Institute for Mathematical Sciences (2023) Dr Andre actively supervises PhD students and secures funding for advanced radar research. He collaborates with key defense and research institutions including Dstl, ESA, BAE Systems, QinetiQ, ATI, and the Sir Bobby Charlton Foundation. His projects often involve experimental validation, algorithm development, and real-world applications in intelligence and surveillance. He heads the GBSAR Lab, a unique facility enabling precise control over SAR geometries for fundamental research in radar coherence, imaging, and change detection. The lab supports both academic inquiry and defense technology development.