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Claire LevyView profile

Senior Lecturer

• Documentary Filmmaking
• Participatory Research Methods
• Interactive Storytelling
• +5 more

Claire Levy is a Senior Lecturer in Film at the Bath School of Art, Film and Media , Bath Spa University. She holds an MA in Photography and Urban Cultures from Goldsmiths, University of London, and a BA Hons in French and German from Oxford University. As a Fellow of the Higher Education Academy (FHEA), she bridges academic and industry expertise. Her research explores young people's rural experiences , public space dynamics , and interactive documentary through a participatory lens. She is currently pursuing a PhD at Goldsmiths on these topics while serving as a Research Associate at the Centre for Community and Urban Research. Claire's filmography spans UK broadcast (Channel 4, BBC) and BFI-funded projects. She has collaborated with the NHS on educational materials and co-founded the Stroud Film Festival. Her consultancy includes corporate films for Beazley, ACCA, and HSBC. Scientific Awards & Honors Royal Television Society (RTS) Award nominations for documentary work (2009) Fellow of the Higher Education Academy (FHEA) Her corporate projects like 'Brent Council Citizenship Film' and 'ACCA Executive Team: Reflecting Back and Looking Forwards' demonstrate expertise in brand-aware filmmaking. She supervises students in documentary, participatory research, and non-linear storytelling.

Steven LeeView profile

Professor

• Biophysical Chemistry
• Single-Molecule Fluorescence Spectroscopy
• Super-Resolution Imaging
• +5 more

Professor Steven Lee is a leading figure in biophysical chemistry at the University of Cambridge , where he leads the TheLeeLab in the Yusuf Hamied Department of Chemistry . His research focuses on developing advanced single-molecule fluorescence and multidimensional super-resolution imaging techniques to probe fundamental biological processes at unprecedented spatial precision. Developed novel super-resolution microscopy approaches for 2D/3D visualization of T-cell membrane proteins and histone assembly in fission yeast nuclei Pioneer of 15-20nm resolution imaging strategies through fluorophore kinetics and image reconstruction algorithms Recipient of the 2017 Marlow Prize in Physical Chemistry , Lee's lab produces cutting-edge tools with applications in immunology , neurodegeneration , and cellular biophysics . His team maintains active collaborations with Prof Klenerman (FRS MedSci) and Prof Moerner (Nobel Chemistry 2014). Research Highlights : Molecular origins of immunity through T-cell membrane protein interactions 3D histone dynamics during DNA replication/repair Amyloid aggregate quantification for neurodegenerative disease diagnosis Volumetric imaging innovations via vLUME virtual reality platform

• Medical ultrasound
• Image guided surgery
• Adaptive imaging
• +4 more

Gregg Trahey is the Robert Plonsey Distinguished Professor of Biomedical Engineering at Duke University, with additional appointments in Radiology. He leads pioneering research in medical ultrasound imaging and serves as a Bass Fellow, reflecting his significant contributions to both research and education. B.S. from University of Michigan, Ann Arbor (1975) M.S. from University of Michigan, Ann Arbor (1979) Ph.D. from Duke University (1985) Dr. Trahey's research focuses on medical ultrasound, image guided surgery, adaptive imaging, imaging of tissue's mechanical properties, and radiation force imaging . His laboratory develops and evaluates novel ultrasonic imaging methods with current projects involving high resolution imaging of the breast and mechanical characterization of both breast and cardiovascular systems. They conduct comprehensive testing through phantom models, animal trials, ex vivo experiments, and human clinical trials, with current clinical applications focusing on vascular plaque imaging and breast lesion characterization. Analysis of Dr. Trahey's recent publications (2022-2025) reveals a strong emphasis on spatial coherence techniques, adaptive ultrasound imaging systems, and quantitative tissue characterization. His work bridges engineering innovation with clinical applications, particularly in cardiac and breast imaging, with key themes including clutter reduction, real-time adaptive systems, and mechanical property assessment of tissues. Fellow, Institute of Electrical and Electronics Engineers (IEEE), 2022 MERIT Award, National Institutes of Health, 2009 Fellows, American Institute for Medical and Biological Engineering, 1999 Dr. Trahey has taught courses including MEDPHY 738: Radiology in Practice, ECE 392: Projects in Electrical and Computer Engineering, and BME 848L: Radiology in Practice. His research is supported by significant funding, particularly from the National Institutes of Health as evidenced by his prestigious MERIT Award, which provides extended grant support to researchers with exceptional performance. Dr. Trahey leads an active research laboratory that conducts comprehensive studies from phantom development through clinical trials. His team collaborates extensively with clinicians for translational research applications, particularly in cardiology and radiology. Current projects focus on high-resolution imaging techniques, mechanical tissue characterization, and development of novel ultrasound methods for improved diagnostic capabilities while maintaining patient safety.

• Biomedical Optics
• Optical Coherence Tomography (OCT)
• Quantitative Phase Microscopy
• +5 more

Adam Wax is a Professor of Biomedical Engineering and Professor of Physics at Duke University , where he leads cutting-edge research in optical spectroscopy for cancer detection , novel microscopy techniques , and low-coherence interferometry . As a member of both the Duke Cancer Institute Faculty Network and Duke Institute for Brain Sciences , he bridges engineering and biomedical applications. Education: B.S. from Rensselaer Polytechnic Institute (1993), M.A. (1996) and Ph.D. (1999) from Duke University Honors: Fellow, American Institute for Medical and Biological Engineering (2014); Fellow, SPIE (2010); Fellow, OSA (2010); NSF CAREER Award (2004) His research focuses on biomedical optics , particularly optical coherence tomography (OCT) and quantitative phase microscopy , with applications in early cancer detection , subcellular imaging , and clinical diagnostics . Recent work emphasizes low-cost, portable OCT systems for point-of-care applications and multimodal imaging combining spectroscopy with phase analysis. Scientific awards include: Fellow, American Institute for Medical and Biological Engineering (2014) Fellow, International Society for Optics and Photonics (2010) Fellow, Optical Society of America (2010) National Science Foundation CAREER Award (2004)

Nick BassiliadesView profile

Professor

• Semantic Web
• Ontologies
• Linked Open Data
• +7 more

Nick Bassiliades is a Professor at the School of Informatics , Aristotle University of Thessaloniki , Greece. His academic roles include serving as President of the Digital Governance Committee and the Digital Transformation of Greek Universities Committee, as well as Director of the Web, Data, and Knowledge Engineering Sector. Education: B.Sc. in Physics, Aristotle University of Thessaloniki (1991) M.Sc. in Applied Artificial Intelligence, University of Aberdeen (1992) Ph.D. in Parallel Knowledge Base Systems, Aristotle University of Thessaloniki (1998) His research focuses on Semantic Web , Ontologies , Knowledge Graphs , and applications in Artificial Intelligence , eGovernment , and Intelligent Agents . Recent publications emphasize ontological frameworks for requirements engineering, explainable AI, and electric vehicle knowledge graphs. He actively contributes to scientific communities as a Senior Member of IEEE and ACM , and serves as Co-Editor-in-Chief for the International Journal of Artificial Intelligence in Business and Management . His work involves collaborations with the Intelligent Systems laboratory and projects like XR4DRAMA for disaster management.

• Neuroscience
• Neurophysiology
• Computational Biology
• +3 more

Dario Ringach is a Professor in the Department of Neurobiology at the University of California, Los Angeles (UCLA) School of Medicine . His research focuses on neural coding , visual cortex organization , and population dynamics in sensory processing . Key projects include studies on energy-efficient coding , Bayesian network estimation , and cortical adaptation mechanisms . NIH R01NS116471 (2020-2023): Population codes and sensory discrimination NIH R01EB022915 (2016-2021): Bayesian connectivity estimation NIH R01EY018322 (2007-2019): Theoretical visual cortex studies NIH R01EY012816 (2000-2011): Quantitative cortical processing His work spans Neuroscience , Computational Biology , and Neurophysiology , with recent emphasis on adaptation geometry , population coding , and neural normalization . Publications analyze mouse models and primate visual systems , covering topics like receptive field development , thalamocortical connectivity , and inhibitory circuits . Contributions include theoretical frameworks for energy efficiency and power laws in cortical processing. Key collaborations include researchers such as Joshua Trachtenberg (UCLA), Mario Dipoppa (UCLA), and Mark Frye (UCLA). He advocates for responsible animal research in neuroscience and has contributed to debates on scientific ethics and methodological transparency .

• Bioinformatics
• Computational Biology
• Algorithms
• +5 more

Travis Wheeler is an Associate Professor in the Department of Pharmacy Practice & Science at the University of Arizona. His work spans bioinformatics, computational biology, and algorithm development for genomic sequence analysis. Developed tools like HMMER and Dfam Research focuses on transposable elements, sequence alignment, and epigenetics Co-author of key works with Robert Finn, Sean Eddy, and colleagues Research Interests include machine learning applications in biological sequence annotation, drug discovery, and evolutionary genomics. His work bridges computational methods with biomedical applications. Notable Contributions : Advancing profile Hidden Markov Model (HMM) methodologies Creating community resources for transposable element research Developing alignment algorithms for biological sequences Collaborations include institutions like Institute for Systems Biology, Harvard University, and Montana State University.

Sinead O'KeeffeView profile

Research Fellow

• Radiation Dosimetry
• Optical Fiber Sensors
• Brachytherapy
• +4 more

Sinead O'Keeffe is a Research Fellow at the University of Limerick in the Faculty of Science and Engineering , specifically within the Department of Electronic and Computer Engineering . Her research bridges the technical domain of optical fiber sensor development with critical applications in radiation therapy and sports medicine. Primary Research Themes Medical radiation dosimetry using optical fiber sensors Brachytherapy dose monitoring systems Sports injury prevention in Gaelic football and running Mental health literacy in rural farming communities Key Technical Contributions Development of scintillation-based dosimeters Characterization of perfluorinated polymer fibers 3D printed sensor systems for clinical and rehabilitation applications Interdisciplinary Applications Prostate cancer radiotherapy dose measurement Mental health intervention programs for athletes Work-family conflict analysis in Irish farming Email: sinead.okeeffe@ul.ie

Jürgen HesserView profile

Professor

• Medical Imaging
• Computational Oncology
• Inverse Problems in Science
• +7 more

Jürgen Hesser is a Professor at the Mannheim Medical Faculty , Heidelberg University, specializing in Experimental Radiotherapy and Medical Imaging . His research focuses on solving inverse problems in imaging, particularly for CT reconstruction , brachytherapy planning , and low-dose imaging . Current affiliations: Clinic for Radiotherapy and Radiooncology, Mannheim University Hospital Collaborative ties: Interdisciplinary Center for Scientific Computing (IWR) and Center for Bioinformatics (ZITI) at Heidelberg University Research interests center on anisotropic total variation techniques for medical and industrial applications, including MR-guided interventions and real-time radiation therapy . His work has led to a 1000x speed improvement in brachytherapy planning algorithms. Recent publications highlight expertise in image reconstruction (CT/X-ray), noise optimization , machine learning for cancer classification, and big data management solutions. His methods are applied to both clinical and industrial imaging challenges. Additional contributions include scientific data infrastructure development and variance stabilization techniques for medical sensors. The research group maintains strong interdisciplinary links with Physics, Mathematics, and Computer Science faculties.

Tayfun AkgülView profile

Professor

• Image Processing
• Signal Processing
• Audio and Speech Processing
• +5 more

Tayfun Akgül is a Professor at Istanbul Technical University's Faculty of Electrical and Electronics Engineering, Department of Electronics and Communication Engineering. With academic affiliations spanning decades, he combines engineering rigor with innovative research in signal processing and underwater acoustics. His research focuses on advanced signal processing techniques, including Compressive sensing and cyclostationary analysis Underwater acoustic monitoring and sensor arrays Thermal imaging and infrared reflection modeling Biometric identification through facial attributes Seismic signal processing Recent publications demonstrate expertise in Propeller noise analysis in maritime environments Micro-Doppler helicopter signature detection Seismic activity precursor identification Novel fisheye camera human detection systems Awarded Most Successful Doctoral Thesis Award from TESID (2024) IEEE Top 10 Award (2013) he maintains active IEEE membership since 1992 and has led multiple high-impact projects including casualty detection systems and electric vehicle warning systems.

Ali TavallaeiView profile

Assistant Professor

• Image Guided Therapy
• Cardiovascular Interventions
• Medical Imaging Instrumentation
• +3 more

Ali Tavallaei serves as an Assistant Professor at Toronto Metropolitan University since 2019 and concurrently holds a Visiting Scientist position at Sunnybrook Research Institute. He is also the President and Co-founder of Magellan Biomedical Inc. (2018-present) and Vital Biomedical Technologies Inc. (2012-present), demonstrating strong industry engagement in medical device commercialization. His academic foundation includes: Ph.D. in Biomedical Engineering from Western University (2010-2015) Medical Innovation Fellowship at University of Minnesota/Western University (2015-2016) Postdoctoral Fellowship at Sunnybrook Research Institute, University of Toronto (2016-2019) Dr. Tavallaei's research centers on image guided therapy with emphasis on solving unmet clinical needs in minimally invasive interventions. His core focus areas include: Cardiovascular device innovation and evaluation Medical imaging instrumentation for real-time guidance Robotic systems for catheter navigation Mechatronic solutions for therapeutic delivery His work bridges engineering design with clinical translation through preclinical and clinical validation. Recent publications (2023-2026) reveal a concentrated effort in developing next-generation catheter technologies, including steering mechanisms (CathPilot), imaging tools (CathEye, CathCam), and specialized devices for vascular interventions. The research consistently emphasizes performance validation, mechanical characterization, and clinical feasibility across peripheral artery disease, aneurysm repair, and cardiac ablation applications. As director of the Medical Devices and Systems Lab, Dr. Tavallaei leads a translational research program focused on fundamental advances in cardiovascular disease management. The lab's workflow integrates solution design, system verification, preclinical testing, and technology transfer to address global healthcare challenges posed by cardiovascular diseases—the leading cause of death worldwide.

• High-Performance Computing
• Computational Fluid Dynamics
• Numerical Analysis
• +9 more

Niclas Jansson is a researcher at the PDC Center for High Performance Computing at KTH Royal Institute of Technology. He holds an M.S. in Computer Science (2008) and a Ph.D. in Numerical Analysis (2013) from KTH. His career spans roles such as postdoctoral researcher at RIKEN Advanced Institute for Computational Science (2013-2016) and visiting scientist at RIKEN (2018-2021), where he contributed to the Japanese exascale program Flagship 2020. A core focus of his research involves extreme-scale computing and numerical method development. He is a key developer of RIKEN's multiphysics framework CUBE , the HPC branch of FEniCS , and the spectral element flow solver Neko . His work is currently supported by a Swedish Research Council Starting Grant aimed at enhancing high-order spectral element methods for exascale fluid simulations. Niclas has published extensively on topics such as GPU acceleration , adaptive finite element methods , in situ visualization , and extreme-scale turbulence modeling . He also teaches Computational Fluid Dynamics (SG2212) at KTH.

Alice HaynesView profile

Researcher

• Human-Computer Interaction
• Soft Robotics
• E-Textiles
• +6 more

Alice Haynes is a Digital Futures Postdoctoral Fellow at KTH Royal Institute of Technology, working on the Felt Connections project under the Division of Media Technology and Interaction Design . She collaborates with Prof. Kristina Höök and Associate Prof. Iolanda Leite to create shape-changing textile interfaces that foster meaningful bodily interactions for children and adults. Education PhD in Engineering Mathematics, University of Bristol (2022) Specialization in Soft Robotics and Haptic Interfaces Her research blends soft robotics, e-textiles, and soma design to develop tactile technologies that prioritize bodily engagement over traditional visual/auditory interfaces. Current work explores: first-person design for scoliosis, symmetry-asymmetry dynamics in bodily interactions, and soma-driven methods that emphasize felt experiences. Key article trends include shape-changing textiles (SMA-actuated smocking, machine embroidery), emotional/therapeutic applications (anxiety relief, social touch), and multisensory integration (audio-tactile mappings, biosignal interaction). Scientific Contributions Recipient of Digital Futures Postdoctoral Fellowship Co-design methodologies for child-centered technology Material-driven evaluation frameworks for e-textiles Embodied interaction paradigms through haptic cushions Alice teaches Human-Computer Interaction Research Seminars (DH2632) and Media Technology and Interaction Design (DM2601) , while actively seeking Master's students for collaborative thesis work.

Jignesh M. PatelView profile

Professor

• Database Systems
• Query Optimization
• Data Analytics
• +3 more

Jignesh M. Patel is a Professor in the Computer Science Department at Carnegie Mellon University, where he leads research on efficient data analysis methods. His work focuses on improving both system efficiency (e.g., high-performance data algorithms) and human efficiency (e.g., user productivity with data systems). Research Focus: Patel's group specializes in database systems, query optimization, hardware acceleration, and human-data interaction. Their interdisciplinary work spans: Transactional processing and real-time analytics Query optimization techniques Hardware-algorithm co-design Natural language interfaces for data systems Memory-efficient data processing Professional Activities: Co-founded four technology companies (Paradise, Locomatix, Quickstep, DataChat). Serves on program committees for premier conferences including SIGMOD and CIDR (as co-chair). Teaches database systems courses at CMU. Awards: Received Best Paper Award at DaMoN 2010 for work on cluster efficiency.

Meredith VoylesView profile

Associate Clinical Professor

• Veterinary Ophthalmology
• Ophthalmic Surgery
• Ophthalmic Neoplasia
• +2 more

Meredith Voyles, DVM, MS, DACVO, serves as an Associate Clinical Professor in the Department of Clinical Sciences at Auburn University's College of Veterinary Medicine, where she teaches veterinary students and delivers medical/surgical ophthalmology specialty care at Auburn’s Gulf Shores Specialty Hospital. Her academic credentials include: BS in Zoology from Auburn University (1996) DVM from Auburn University (2001) MS in Biomedical Sciences from Auburn University (2011) Comparative Ophthalmology Residency at Auburn University (2011) Dr. Voyles' research centers on veterinary ophthalmology, with specialized expertise in ophthalmic neoplasia, surgical interventions for ocular diseases, and age-related vision changes in geriatric animals. Her work uniquely integrates clinical practice with biomedical engineering, particularly through collaborations developing drug-impregnated contact lenses for sustained therapeutic delivery. Her publication history reveals a trajectory from foundational clinical research to authoritative textbook contributions, emphasizing translational applications in veterinary ophthalmology. Early engineering collaborations focused on contact lens drug kinetics, while recent work addresses specialized clinical domains like ocular tumors and geriatric vision impairment, demonstrating evolving expertise from bench to bedside. Professional recognition includes: Diplomate of the American College of Veterinary Ophthalmologists (DACVO) Dr. Voyles actively mentors veterinary students in clinical rotations at the Gulf Shores Specialty Hospital, though formal graduate student advisement isn't documented. Her research collaborations with the College of Engineering imply participation in grant-funded projects, though specific awards aren't detailed in available materials. She operates within Auburn University's integrated veterinary specialty network, contributing to the ophthalmology team at the Gulf Shores Specialty Hospital that serves coastal Alabama veterinarians and referral cases, combining academic instruction with frontline specialty care.