جستجوی استاد راهنمای دانشگاهی

Professor Brian Rodriguez is a full-time faculty member in the School of Physics at University College Dublin, based at the Conway Institute in Belfield, Dublin 4. His research bridges nanoscale materials physics and biomedical applications, with expertise in scanning probe microscopy techniques. He maintains an active teaching schedule across multiple modules and can be contacted via brian.rodriguez@ucd.ie or phone at 01 716 6744. His academic credentials include: BS from University of North Carolina MS from North Carolina State University, USA PhD in Physics from North Carolina State University, USA (2003) Professional Certificate in University Teaching & Learning from University College Dublin Rodriguez specializes in piezoresponse force microscopy (PFM) and atomic force microscopy (AFM) for characterizing ferroelectric materials, polar nitride semiconductors, and biological systems. His work has expanded into bio-inspired nanomaterials development, including sustainable peptide semiconductors for sensing, amorphous alloys for antibacterial implants, and electrocatalysts for green hydrogen. He actively integrates machine learning with AFM data to advance cancer diagnostics, emphasizing translational applications in biomedicine and energy. Recent publications (2024-2025) demonstrate interdisciplinary momentum toward sustainable nanomaterials for energy conversion and biomedical sensing. Key trends include seawater electrolysis catalysts using MBenes/borides, metal-free SERS platforms with peptide semiconductors, and electric-field-activated pathogen detection. His group pioneers techniques like fluid-phase 3D printing for hydrogel patterning and high-voltage KPFM adaptations, with consistent focus on fundamental electromechanical property characterization. Award highlights include: UCD College of Science Women in Science Mentoring Award (2024) Alexander von Humboldt Fellowship (2007) RMIT Foundation International Research Exchange Fellowship (2010) Two UT Battelle Team Awards (2006) Rodriguez coordinates core modules including Bio-inspired Technologies (2016-2025), AFM for Bionano (2016-2025), and Nanomechanics (2017-2025), using active-learning pedagogies. His research is funded through Science Foundation Ireland's GROW Supplement (2017), the OBRSS Research Support Scheme (2016-2023), and the Resolve-NP project grant (2023-2025) targeting lipid nanomedicine characterization at single-particle resolution. He leads the NanoFunction research group (nanofunction.org) within UCD's Conway Institute, focusing on nanoscale functional materials. Current projects involve peptide-based sensors, antimicrobial coatings, and electrocatalyst engineering, supported by collaborations with Zhang, Bao, and Brennan on the Resolve-NP grant. Rodriguez also contributes to SIMUFER (Single- and Multiphase Ferroics with Restricted Geometries) and maintains active professional society memberships.

• Scanning Probe Microscopy
• Piezoresponse Force Microscopy
• Ferroelectric Materials
• +۷ مورد دیگر

Leslie M. Collins is a distinguished Professor of Electrical and Computer Engineering, Professor of Biomedical Engineering, and Professor in the Department of Head and Neck Surgery & Communication Sciences at Duke University's Pratt School of Engineering. She is also a Faculty Network Member of the Duke Institute for Brain Sciences, demonstrating her interdisciplinary reach across engineering, medicine, and neuroscience. Dr. Collins earned her BSEE from the University of Kentucky, followed by MSEE and PhD degrees from the University of Michigan, Ann Arbor. After working as a Senior Engineer at Westinghouse Research and Development Center from 1986 to 1990, she joined Duke University in 1995 as an Assistant Professor, was promoted to Associate Professor in 2002, and to full Professor in 2007. Her research spans physics-based statistical signal processing, subsurface sensing, auditory prostheses, and pattern recognition. Dr. Collins has made significant contributions to landmine detection systems, having been part of the team that transitioned MURI-developed algorithms to the Army HSTAMIDS and GSTAMIDS systems. Her work on cochlear implants and brain-computer interfaces represents groundbreaking advances in auditory prosthetics and neural engineering. She has secured substantial research funding from agencies including ARO, NVESD, SERDP, ESTCP, NSF, and NIH. Analysis of her recent publications reveals a strong trajectory toward integrating deep learning with traditional signal processing approaches across multiple domains. Her work bridges military applications (landmine detection), medical technology (cochlear implants, heart monitoring), and infrastructure analysis (power grid mapping), demonstrating remarkable versatility in applying core signal processing principles to diverse real-world problems. DoD UXO Cleanup Project of the Year (2000) Member of Tau Beta Pi honor society Member of Sigma Xi honor society Member of Eta Kappa Nu honor society Dr. Collins has been a dedicated mentor, graduating 15 PhD students as of 2015. Her research has been supported by numerous grants from major federal agencies including ARO, NVESD, SERDP, ESTCP, NSF, and NIH, reflecting the significance and impact of her work across defense, environmental, and medical applications. She has played a key role in translating research into practical systems, particularly in landmine detection where her work has directly impacted military operations. Her research group operates at the intersection of multiple laboratories and teams, including collaborations with the Duke Institute for Brain Sciences and various medical departments at Duke. This interdisciplinary approach enables her to tackle complex problems that span traditional academic boundaries, from developing algorithms for landmine detection to creating improved speech processing for cochlear implant users.

• Physics-based statistical signal processing
• Subsurface sensing
• Auditory prostheses
• +۶ مورد دیگر

Josh McDermott is a Professor in the Department of Brain and Cognitive Sciences at the Massachusetts Institute of Technology (MIT), where he also serves as Associate Department Head and previously as Interim Department Head. He leads the Laboratory for Computational Audition and conducts groundbreaking research at the intersection of psychology, neuroscience, and engineering, with a primary focus on understanding human auditory perception and its computational underpinnings. Dr. McDermott's educational background includes: PhD in Brain and Cognitive Sciences from MIT (2001-2006), advised by Edward Adelson MPhil in Computational Neuroscience from University College London (1998-2000), advised by Geoff Hinton B.A. in Brain and Cognitive Science, summa cum laude, from Harvard University (1994-1998), advised by Nancy Kanwisher McDermott's research program centers on understanding how humans derive information from sound in complex environments. His lab investigates why biological auditory systems outperform even the most sophisticated machine hearing systems in everyday situations like noisy city streets. He explores computational audition, natural sound statistics, music perception, and the relationship between sensory modalities, with long-term goals to improve treatments for hearing impairment and enable the design of machine systems that mirror human auditory abilities. His work bridges fundamental neuroscience with practical applications for hearing technologies. His recent publications reveal a strong trend toward integrating deep learning and neural network models with auditory neuroscience. His lab has been exploring how generative models, metamers, and task-optimized networks can illuminate human auditory processing. There's a clear progression from basic auditory phenomena to more complex computational models that bridge neuroscience and artificial intelligence, particularly in areas like sound segregation, music perception, and cross-modal integration. His work consistently demonstrates how computational approaches can reveal fundamental principles of auditory perception. Dr. McDermott has received numerous prestigious awards, including: Troland Research Award (2018) NSF CAREER Award (2015) APAN Young Investigator Award (2017) BCS Awards for Excellence in Undergraduate Advising (2014, 2018) BCS Award For Diversity, Equity, Inclusion and Justice (2023) As an advisor, McDermott has mentored numerous PhD students who have gone on to make significant contributions in auditory neuroscience and computational modeling. His Laboratory for Computational Audition serves as a hub for interdisciplinary research that bridges psychology, neuroscience, and engineering approaches to understanding hearing. The lab has developed innovative methodologies for studying auditory perception, including sound synthesis techniques, computational models, and cross-cultural approaches to music cognition. McDermott's work continues to push the boundaries of our understanding of auditory perception and its computational underpinnings.

• Auditory Perception
• Computational Audition
• Music Cognition
• +۷ مورد دیگر

Martin Timusk is an Associate Professor in Material Science at the Institute of Physics, Faculty of Science and Technology, University of Tartu. Appointed in 2021 with a full-time position (1.00 FTE), he leads research in advanced functional materials with continuous affiliation since 2007 through various academic roles. His research focuses on sol-gel chemistry, hybrid electro-optical materials, and triboelectric nanogenerators . Key areas include optically transparent electrodes, electrically conductive polymers, biodegradable hydrogels, and micro/nanostructured oxide materials. His work bridges fundamental surface science with applications in energy harvesting, smart windows, and biomedical devices. Recent publications emphasize triboelectric charging mechanisms, sustainable polymer alternatives, and novel synthesis techniques for functional nanomaterials. His most significant research trends involve Triboelectric nanogenerators (TENGs) for motion-based energy harvesting Surface charge control in polymers and composites Sol-gel derived optical and electroactive materials Biodegradable and tissue-mimicking materials for implantable devices No scientific awards or supervision activities are documented in his current faculty role. His research is supported by institutional frameworks at Tartu University's Institute of Physics, with historical connections to projects like ETF9007 (Nanotribology) and SF0180058s07 (Low-dimensional structures).

• Sol-gel chemistry
• Hybrid electro-optical materials
• Optically transparent electrode materials
• +۷ مورد دیگر

Ryan Behunin is an Associate Professor in the Department of Applied Physics and Materials Science at Northern Arizona University. His research focuses on fluctuation-induced phenomena, optomechanics, and quantum systems, with a particular emphasis on Brillouin physics—investigating light-sound interactions to develop high-performance chip-scale lasers, precision sensors, and laser cooling techniques. He leads the ¡MIRA! research group and contributes to the ¡MIRA! Center, which promotes interdisciplinary STEM innovation. Postdoctoral Research Associate, Yale University Postdoctoral Research Associate, Los Alamos National Laboratory PhD in Physics, University of Maryland BS in Physics, University of Utah Behunin’s work explores fundamental questions in quantum friction, laser noise, and energy dissipation through fluctuation-induced phenomena. His optomechanics research leverages Brillouin scattering to advance integrated photonics, including ultra-low-linewidth lasers and coherent microwave-photonic systems. Recent projects address quantum state preservation, phonon-electron coupling, and scalable quantum information solutions. Behunin’s publications from 2023-2025 focus on quantum optomechanics, Brillouin-based transduction, and multi-phonon state engineering. Collaborations span photonics, acoustics, and quantum information science, with applications in quantum computing, sensing, and communication protocols. Scientific honors include: NSF EAPSI Fellowship (2009) Ralph D. Myers Award for Excellence in Teaching (2007/2008 Honorable Mention) Ryan Behunin actively mentors K-12 students through Tynkertopia and science fairs, emphasizing STEM diversity. His ¡MIRA! group emphasizes interdisciplinary collaboration, partnering with institutions like the University of Maryland, Yale, and Los Alamos National Laboratory.

• Quantum Physics
• Optomechanics
• Brillouin Scattering
• +۳ مورد دیگر

Pedro Ribeiro is a Lecturer at the Department of Computer Science , University of York. His research focuses on formal specification and verification of cyber-physical and autonomous systems, particularly using model-based approaches with domain-specific languages like RoboChart. His work addresses heterogeneous formal semantics to capture complex system behaviors, including timing, concurrency, and continuous dynamics. Recent publications highlight verification of robotic autonomous systems, safety assurance frameworks, and algebraic models for concurrency. Quantum computation Formal verification Concurrency theory Model-driven engineering He contributes to the development of tools like RoboTool and RoboStar, enabling combined proof, simulation, and testing for robotics applications.

• Formal verification
• Cyber-physical systems
• Autonomous robotics
• +۵ مورد دیگر

Joan Oró is a researcher at the Blanquerna Department of Physical Activity and Sport Sciences and Sports Management within the Faculty of Psychology, Educational Sciences and Sports at Blanquerna - Ramon Llull University. His work focuses on speech synthesis, voice quality analysis, and environmental noise mapping, with a particular emphasis on computational modeling and acoustic sensor networks. Research Interests: Speech signal processing, finite element modeling of phonation, environmental noise monitoring, and machine learning applications in acoustic analysis. Projects: Key contributions to the DYNAMAP initiative for real-time road traffic noise mapping and the FEMVoQ project for 3D voice quality simulation. Publications: Recent work explores vocal tract-glottal source interactions, spectro-temporal noise analysis, and intelligent clustering architectures, spanning interdisciplinary applications in acoustics, signal processing, and urban planning.

• Speech Synthesis
• Voice Quality Analysis
• Environmental Noise Mapping
• +۳ مورد دیگر

Lou Kilger serves as Professor of composition and sound design for digital media at KreativInstitut.OWL since 2023 and holds a teaching position in sound direction at State University of Music Trossingen since 2020. An active composer with works premiering at prestigious venues including the Donaueschingen Music Festival and Munich Biennale, he bridges artistic creation with technical innovation in digital media environments. His educational background includes: Concert exam in composition from Cologne University of Music and Dance (2020-2022) Master in Sound Direction from University of Music and Performing Arts Frankfurt (2019) Master in Electronic Composition from Cologne University of Music and Dance (2017) Bachelor of Music Design from State University of Music Trossingen (2011) Professor Kilger's research centers on intermedia composition where digital media, sound design, and music informatics converge. He creates environments where 'things that are unimaginable on your own suddenly become tangible' through team-oriented approaches. His work explores states between reality and virtuality using binaural audio, mobile platforms, and glitch aesthetics, often incorporating biological metaphors and fluid dynamics. Projects like the mei-friend Editor demonstrate his commitment to advancing musicological markup standards while maintaining artistic innovation. His creative output shows clear progression from audiovisual miniatures (2013-2017) to complex intermedia systems (2021-2024), with increasing emphasis on digital space composition and audience interaction. Recent works like 'smonize' (2024) and 'nournimity' (2023) feature multichannel sound, bio-inspired design, and virtual reality elements, reflecting his focus on 'being between reality and virtuality.' While no formal awards are listed, his SWR commission for Donaueschingen Music Festival 2024 represents significant recognition. Key projects include: Musicological Markup in the mei-friend Editor (released January 2025) Internship program at KIO providing cross-disciplinary research exposure (2024) Live Coding Meetups fostering technical-artistic collaboration Professor Kilger actively supervises students through teaching positions at two institutions and integrates them into live projects. His funding includes the SWR commission and mei-friend Editor development, supporting team-oriented approaches where students collaborate with specialized colleagues. He emphasizes practical experience in 'artistic, compositional and technical production fields,' preparing students for careers at the intersection of art and technology. Though no formal lab name is specified, his work operates within KreativInstitut.OWL's research ecosystem focused on digital media production. The environment fosters collaboration across disciplines, with students and researchers contributing to intermedia projects that combine composition, sound design, and emerging technologies in team-oriented settings.

• Composition
• Sound Design
• Digital Media
• +۵ مورد دیگر