جست‌وجوی استاد و پژوهشگر

Coleman Nyeمشاهده پروفایل

دانشیار

• Feminist Science and Technology Studies
• Graphic Medicine
• Performance Studies
• +۳ مورد دیگر

Coleman Nye is an Associate Professor in the Gender, Sexuality, and Women's Studies department at Simon Fraser University (SFU). She holds a Ph.D. in Theatre and Performance Studies from Brown University (2014), an M.A. in Anthropology from Brown (2010), and a B.A. in Anthropology and Gender & Sexuality Studies from New York University (2006). Her research bridges feminist science studies, graphic medicine, and performance studies, with a focus on bioethics, racial biocapital, and genetic equity. Notable works include the graphic novel Lissa (2017), co-authored with Sherine Hamdy, which won the 2018 PROSE Award. She is currently completing a monograph Biological Property: Race, Gender, Genetics , examining intersections between genetic inheritance and property frameworks. Her work appears in journals like Social Text , TDR: The Drama Review , and Global Public Health . Teaching includes undergraduate courses like GSWS 103 B100 (Body Talk) and graduate seminars (GSWS 822 G100). She has edited special issues on Science and Performance for Performance Matters and contributes to SFU's Gender, Sexuality, and Women's Studies Research Hub.

Stephan Raveمشاهده پروفایل

پژوهشگر

• Numerical Analysis
• Scientific Computing
• Machine Learning
• +۴ مورد دیگر

Dr. Stephan Rave is a Researcher in the Institute for Analysis and Numerics at the University of Münster. He is affiliated with the Applied Mathematics Münster cluster and serves as an Investigator in Mathematics Münster. His work focuses on numerical analysis, scientific computing, and machine learning, with a strong emphasis on model reduction techniques for complex systems. Education : PhD in Mathematics (2012), University of Münster, thesis on finitely summable K-homology. Master's and Bachelor's degrees in Mathematics from the University of Münster. Research Interests : Dr. Rave specializes in model order reduction (MOR) methods, including reduced basis techniques, localized orthogonal decomposition (LOD), and nonlinear approximation strategies. His work addresses challenges in multiscale modeling, domain decomposition, and parametrized partial differential equations. He also develops open-source software tools like pyMOR for MOR and contributes to initiatives like the MaRDI (Mathematical Research Data Initiative) to enhance interoperability in scientific computing. Projects : Key initiatives include the MaRDI project (2021–2026), EXC 2044 Cluster of Excellence (Geometry-based modeling), and MULTIBAT (lithium-ion battery simulation). His research bridges theoretical developments with practical applications in battery modeling, electrochemistry, and computational fluid dynamics. Grants & Awards : Funded by DFG, the German Federal Ministry of Research, and internal university grants, his work addresses strategic areas like sustainable research software and energy storage systems. He leads projects on distributed model reduction and communication-avoiding algorithms. Teaching : Dr. Rave teaches advanced numerical methods courses, including Model Order Reduction, Numerical Methods for PDEs, and Python-based computational labs. He co-organizes seminars and workshops on MOR and scientific software engineering.

• Electrochemical Energy Storage
• Lithium-ion Batteries
• Solid-State Electrolytes
• +۴ مورد دیگر

Candace K. Chan is a Professor in the School for Engineering of Matter, Transport and Energy at Arizona State University , with a joint appointment in the School of Molecular Sciences graduate faculty. Her research bridges materials science , electrochemistry , and energy storage , with additional focus on water treatment technologies and photocatalysis . She leads the NSF Nanosystems Engineering Research Center for NEWT water treatment projects and holds multiple patents in solid-state electrolytes and clathrate battery materials . Education: Ph.D. in Physical Chemistry (Stanford University), B.S. in Chemistry (Rice University) Expertise: Inorganic/Materials Chemistry, Nanoscience, Renewable Energy Her research group specializes in solid-state battery materials , photocatalytic water treatment , and clathrate electrochemistry , with recent work on flexible battery mechanics and metal oxide photocatalysts . Publications focus on garnet-type electrolytes , Si/Ge clathrates , and LDH nanocomposites . Key scientific awards include: NSF CAREER Award (2016) Alexander von Humboldt Fellowship (2016–2018) ECS Battery Division Travel Grant (2014) ASU Fulton Exemplar Faculty (2017–2018) Advising: Mentored 12 Ph.D. students (e.g., Andrew Dopilka , Ting Yang ), 8 M.S. students, and 6 Barrett Honors Thesis students. Collaborates with international researchers from Max-Planck-Institut , Universität Göttingen , and Universidade Federal de Itajubá . Grants: Currently leads 3 active NSF/industry projects on solid electrolyte interphases , clathrate synthesis , and selective nano-sorbents . Completed 8 projects including SRP-funded selenium removal studies and ACS Petroleum Research Fund grants.

• Quantum Science and Technology
• Condensed Matter Experiment
• Superconductivity
• +۴ مورد دیگر

Kasra Sardashti is an Assistant Professor of Physics at the University of Maryland and Principal Investigator at the Laboratory for Physical Sciences. He holds a Ph.D. in Materials Science and Engineering from UC San Diego (2016), and previously served as Assistant Professor of Physics & ECE at Clemson University. His research focuses on hybrid superconductor-semiconductor systems for quantum information processing, sensing, and communication through the Laboratory for Band Engineering of Quantum Systems (LaBEQs). Key research areas include band engineering at superconductor-normal material interfaces, advanced materials growth, nanofabrication, and low-temperature physics. His work is supported by NSF, DOE, AFOSR, and DARPA. He has pioneered voltage-tunable superconducting devices and hybrid quantum systems, with applications in classical-quantum processors and sensors. Notable contributions include studies on niobium-germanium interfaces and epitaxial superconducting heterostructures. Education: Ph.D. in Materials Science & Engineering, UC San Diego (2016) Previous Roles: Research Scientist, Center for Quantum Phenomena, NYU He received the 2021 ORAU Powe Junior Faculty Enhancement Award. His lab actively recruits postdocs, graduate students (Physics/Chemistry/Engineering), and undergraduates. Recent milestones include the 2024 Summer Internship Program and graduating an M.S. student. LaBEQs emphasizes interdisciplinary collaboration, integrating materials science, quantum engineering, and cryogenics. Ongoing projects explore low-loss materials for superconducting electronics and piezo-acoustic quantum transduction in complex oxide heterostructures.

• Music Technology
• Music Psychology
• Embodied Music Cognition
• +۵ مورد دیگر

Alexander Refsum Jensenius is a Professor of Music Technology and Director of the RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion at the University of Oslo. He also leads the fourMs Lab and co-founded the MishMash Centre for AI and Creativity. His work bridges musicology, psychology, and technology, focusing on embodied music cognition, human motion analysis, and creative applications of AI. Notably, he pioneered research on air guitar motion and human micromotion through projects like the Oslo Standstill Database . Educated at the University of Oslo (BA in Music and Mathematics, MA in Musicology) and Chalmers University of Technology (MSc in Applied IT), Jensenius holds a PhD in Music Technology from UiO. He has held visiting researcher roles at UC Berkeley, McGill University, and KTH. Leadership roles include Department of Musicology Head (2013–2016) and Steering Committee Chair for the International Conference on New Interfaces for Musical Expression (NIME, 2011–2022). Research interests span music-related body motion, AI in creative contexts, and open research practices. Key contributions include the Music Moves and Motion Capture MOOCs, the Musical Gestures Toolbox software, and monographs like Sound Actions and Sonic Design . His work emphasizes interdisciplinary collaboration, with projects addressing ventilation systems' acoustic properties and cell culture vibrational effects. Awards include the European Open Data Champion recognition. He advocates for open science and maintains extensive digital archives of research materials, emphasizing institutional web pages as critical research infrastructure.

• Machine Learning for Music
• Music Modeling and Generation
• Ethics of AI in Music
• +۴ مورد دیگر

Bobby Lee Townsend Sturm JR is an Associate Professor at KTH Royal Institute of Technology, leading the MUSAiC project (ERC-2019-COG). He holds a PhD in Electrical and Computer Engineering from UC Santa Barbara (2009), followed by postdoctoral research at LAM, Paris 6, and academic roles at Aalborg University and Queen Mary University of London. His research focuses on AI ethics in music, generative AI for music, and folk music preservation. Current roles at KTH include teaching and supervising in Machine Learning, Music Informatics, and AI Ethics. He has pioneered AI music generation challenges (e.g., 2020 Double Jigs Challenge) and investigates societal impacts of AI on traditional music cultures. His work bridges technical innovation with cultural and ethical considerations, addressing issues like data colonialism, algorithmic bias, and human-AI collaboration in creative contexts. Education: PhD (UCSB, 2009), Postdoc (Paris 6), Academic appointments at Aalborg University (2010–2014) and Queen Mary University (2014–2018) Key Projects: MUSAiC (ERC), Virtual Session System for Irish Music, Traditional Music Dataset Analysis Teaching: Courses in Machine Learning, Music Acoustics, and ICT Innovation Publications span peer-reviewed journals and conferences, emphasizing ethical AI, music generation, and interdisciplinary research in MIR (Music Information Retrieval). He actively collaborates with musicians, anthropologists, and technologists to ensure culturally informed AI development.

• Internet of Things
• Edge Computing
• Artificial Intelligence
• +۶ مورد دیگر

Professor Xiaodong Liu is a faculty member at Edinburgh Napier University, affiliated with the School of Computing, Engineering and the Built Environment . His research spans Internet of Things , Edge Computing , Artificial Intelligence , and Cybersecurity , with a focus on decentralized systems and data-driven decision-making. Research Themes : IoT orchestration, federated learning, smart city infrastructure, building maintenance optimization, and automotive cybersecurity. Current Projects : Leading Swarmchestrate (EU-funded), Long-range Perceptive Autonomous Vehicles (Royal Society), and Met-Bot for Disaster Surveillance (Royal Society). His recent publications emphasize privacy-preserving edge learning , semantic IoT data validation , and deep learning for weather prediction . As a supervisor, he has guided PhD students in areas like federated learning, smart building systems, and IoT security. Collaborations include partnerships with institutions in Scotland, China, and Italy, alongside funding from European Commission , Royal Society , and Scottish Funding Council . He contributes to international conferences and journals, with notable work in IEEE Transactions , ACM TAAS , and MDPI publications.

Ueli K. Heizمشاهده پروفایل

استاد

• Catalysis
• Nanocatalysis
• Photocatalysis
• +۵ مورد دیگر

Prof. Ueli K. Heiz is a Professor and Principal Investigator at the Technical University of Munich (TUM), leading the Cluster Catalysis and Advanced Spectroscopy group within the Department of Chemistry. His research focuses on the unique properties of atomic-scale clusters in the non-scalable size regime, exploring their applications in catalysis (nanocatalysis, asymmetric catalysis, photocatalysis) and energy conversion. He develops advanced experimental tools like ECSTM (Electrochemical Scanning Tunneling Microscopy) and UHV (Ultra-High Vacuum) systems for studying cluster dynamics and reactivity. Key research areas include clusters at solid-liquid interfaces, gas-phase cluster kinetics, and ambient pressure photocatalysis. His group investigates how quantum size effects and precise atomic structures influence catalytic performance. Associated with TUM’s Chair of Physical Chemistry , his work bridges fundamental chemistry with practical applications in sustainable energy technologies. The group collaborates with initiatives like the Munich Catalysis Alliance (MuniCat) and operates specialized facilities such as the Magnetron Sputtering Cluster Source and Spectroscopy labs. His research has led to advancements in understanding reaction mechanisms on size-selected clusters, including methane coupling, alcohol photocatalysis, and enantiospecific surface interactions. Funding sources include the Collaborative Research Centre (CRC) and other institutional grants. While no personal awards are explicitly listed, his contributions to catalysis and spectroscopy methodologies are highlighted through high-impact publications in Journal of the American Chemical Society and Angewandte Chemie .

Steven Halimمشاهده پروفایل

دانشیار

• Algorithms & Theory
• Combinatorial Algorithms
• Graph Theory & Algorithms
• +۱۳ مورد دیگر

Steven Halim is an Associate Professor (Educator Track) in the Department of Computer Science at the School of Computing, National University of Singapore (NUS). He has been a full-time educator since 2007, teaching a wide range of courses including Data Structures and Algorithms, Competitive Programming, and Design and Analysis of Algorithms. He currently serves as the Director of the Centre for Nurturing Computing Excellence (CeNCE) and is a Fellow of the NUS Teaching Academy. Ph.D. in Computer Science, National University of Singapore B.Sc. in Computer Science, National University of Singapore His research and teaching interests focus on algorithms, competitive programming, visualization, and optimization. He is renowned for creating VisuAlgo , an interactive online platform that visualizes data structures and algorithms, used by students and educators worldwide. He is also the co-author of the widely acclaimed book "Competitive Programming" , now in its fourth edition, which is a key resource for programming contest preparation. His recent scholarly work centers on pedagogical innovations in computer science education, particularly algorithm visualization and competitive programming methodologies. Earlier publications from his PhD work focused on stochastic local search, metaheuristics, and algorithm tuning through visualization. The articles span topics from educational technology to combinatorial optimization, reflecting a transition from research in algorithm engineering to leadership in computing education. Commendation Medal (Pingat Kepujian), National Day Awards 2018 NUS Annual Teaching Excellence Award (ATEA) 2014/15, 2017/18, 2018/19 (with Honour Roll) Faculty Teaching Excellence Award (FTEA) 2011/12, 2012/13, 2014/15 (with Honour Roll) Best Teaching Assistant Award 2007/08 Steven Halim has advised numerous students through his courses and competitive programming teams. He has served as the head coach for NUS ICPC teams since 2008 and team leader for Singapore IOI teams since 2009, leading them to multiple international medals. He has also held leadership roles in major international competitions, including Deputy Director for IOI 2020 and 2021, and Regional Contest Director for ICPC Asia Singapore 2015 and 2018. He was a Resident Fellow at NUS Sheares Hall for nine years, deeply engaging with student life. He leads the Centre for Nurturing Computing Excellence (CeNCE), where he manages programming competition activities for both NUS and Singapore national teams. His work integrates education, competition, and mentorship, creating a synergistic environment that has significantly elevated Singapore's performance in international informatics olympiads.

Lauren Sarah Hayesمشاهده پروفایل

دانشیار

• Sound Studies
• Embodied Cognition
• Haptic Technology
• +۷ مورد دیگر

Lauren Sarah Hayes is an Associate Professor of Sound Studies within the School of Arts, Media and Engineering at Arizona State University. She founded the research group Practice and Research in Enactive Sonic Arts (PARIESA) and holds degrees in Mathematics and Philosophy (MA), Digital Composition and Performance (MSc, dist.), and Creative Music Practice (PhD), all from the University of Edinburgh, UK. Dr. Hayes' research centers around embodied and enactive music cognition, enactive approaches to digital instrument design, and haptic technologies. Her scholarly work has been published in major journals including Contemporary Music Review, Organised Sound, and Computer Music Journal. As a performer and improviser, she explores new strategies for live electronic performance by investigating the performer's physical relationship with the digital realm, with music lying between free improv, experimental pop, techno, and noise. Her research on embodied music education won Best Paper Award at the International Computer Music Conference in 2016, and her work addressing political and epistemological themes won Best Paper Award at New Interfaces for Musical Expression (NIME) in 2020. Dr. Hayes composes haptic music experienced as vibration throughout the body and has developed bespoke haptic technologies for people with sensory impairment, learning difficulties, and autism. She has performed internationally at major festivals including Moogfest (USA), Tectonics (Scotland), and Norberg (Sweden), and represented the USA at the ISCM World New Music Days festival in the Faroe Islands in 2024. Best Paper Award, International Computer Music Conference (2016) Best Paper Award, New Interfaces for Musical Expression (NIME) (2020) Dr. Hayes serves on the editorial board of the Journal of Music, Technology & Education and has held leadership roles including Paper Chair for Tangible, Embedded, and Embodied Interaction (TEI) in 2019, associate of the New BBC Radiophonic Workshop, and Director-At-Large of the International Computer Music Association (ICMA). She founded the AME Listening Group at ASU, which hosts listening, workshop, and performance opportunities for students.

Carl Ho (Ngai Man)مشاهده پروفایل

استاد

• Power Electronics
• Heavy-Duty Electric Vehicles
• Renewable Energy Technologies
• +۵ مورد دیگر

Dr. Carl Ho (Ngai Man) is a Full Professor and Canada Research Chair in Efficient Utilization of Electric Power at the University of Manitoba's Price Faculty of Engineering, Department of Electrical and Computer Engineering. Appointed Associate Head (Electrical Engineering) in July 2021, he leads the Renewable-energy Interface and Grid Automation (RIGA) Lab established with CFI funding in 2014. His educational background includes: PhD in Electronic Engineering (2007), City University of Hong Kong MEng in Electronic Engineering (2002), City University of Hong Kong BEng in Electronic Engineering (2002), City University of Hong Kong Dr. Ho's research focuses on power electronics applications for sustainable energy systems, with particular expertise in power conversion technologies for electric vehicles, renewable integration, and smart grid infrastructure. His work bridges industrial application and academic innovation, evidenced by over 40 IEEE journal publications, 80 conference papers, and 20+ patents. Current research emphasizes wide-bandgap semiconductor applications, power hardware-in-loop validation, and DC microgrid architectures for remote communities. Analysis of his recent publications reveals a strong trend toward practical implementation of power electronics solutions, with increasing focus on GaN/SiC devices, grid-forming converters, and modular architectures for microgrids. His work consistently addresses real-world challenges in efficiency, reliability, and cost-effectiveness across renewable integration, electric transportation, and power quality domains. Notable awards include: Second Place Winner for 2018 IEEE Transactions on Power Electronics Prize Paper Multiple IEEE JESTPE Star Associate Editor Awards (2022-2023) IEEE TPEL AE Excellence Award (2023) Best Student Team Regional Award in IEEE Empower a Billion Lives 2019 As an active mentor, Dr. Ho supervises numerous graduate students across multiple cohorts and leads significant research initiatives including NSERC Discovery Grants, MITACS collaborations with Power Integrations Inc., Research Manitoba Innovation Proof-of-Concept Grants, and Natural Resources Canada projects on zero-emission heavy vehicles. His RIGA Lab serves as a hub for industry-academic collaboration with Manitoba Hydro and transportation sector partners. The RIGA Lab, completed in 2016 and renovated in 2019, houses specialized equipment for power electronics prototyping, real-time simulation, and hardware-in-loop testing. Current projects include advanced wireless EV charging, GaN-based controller development, and DC microgrid solutions for remote communities, with recent recognition including a visit from Prime Minister Justin Trudeau in April 2023.

Ajay Kapurمشاهده پروفایل

استاد

• Human-Computer Interaction
• Artificial Intelligence in Music
• Mechatronic Musical Instruments
• +۵ مورد دیگر

Ajay Kapur serves as Associate Provost for Creative Technologies and Director of the Music Technology program (MTIID) at California Institute of the Arts. With an interdisciplinary background spanning computer science, electrical engineering, and music, he bridges technological innovation with artistic expression through leadership in academic programs and entrepreneurial ventures. His research centers on symbiotic human-machine interaction for artistic creation, particularly exploring computer improvisation with humans through Indian Classical music frameworks. This manifests in developing programmable mechatronic instruments, sensor-based interfaces, and AI-driven systems for musical expression. His work extends traditional techniques while creating new performance paradigms like the globally touring Machine Orchestra and KarmetiK Orchestra. Kapur's recent publications reveal evolving expertise from music robotics to blockchain applications, with significant focus on NFT systems, tokenization, and immersive environments. His scholarly output demonstrates consistent innovation at the intersection of artistic practice and emerging technologies. As an educator and entrepreneur, he has co-founded companies in edtech and AI while authoring foundational texts like Digitizing North Indian Music and Introduction to Programming for Musicians and Digital Artists . His performances at venues including LACMA, Singapore Arts Festival, and the 2010 Winter Olympics showcase practical applications of his research.

Craig A. Chinمشاهده پروفایل

دانشیار

• Digital Signal Processing
• Machine Learning
• Biomedical Signal/Image Processing
• +۷ مورد دیگر

Craig A. Chin is an Associate Professor in the Department of Electrical Engineering at Kennesaw State University. He holds a Ph.D. and M.S. in Electrical Engineering from Florida International University (2006, 2001) and a B.S. in Electrical and Computer Engineering from the University of the West Indies (1995). Research Interests: Digital Signal Processing for Biomedical Applications Machine Learning in Biomedical Signal/Image Analysis Wireless Body Area Networks (WBANs) for Healthcare Network Security in Resource-Constrained Environments Biometric Authentication for Wireless Sensor Networks Innovations in Engineering Education (Cooperative/Active Learning, Humanities Integration) Article Trends: His publications (2001–2019) focus on Biomedical Signal Processing (EMG/Eye-Gaze Integration, Stress Detection), WBANs for mHealth , and Engineering Education Pedagogy . Recent work (2013–2019) emphasizes Cooperative Learning Strategies and Wireshark-based Network Security Labs . Academic Contributions: Craig has taught courses such as Biometrics, Data Communications, Biomedical Instrumentation, and Medical Electronics. He actively explores future research on biometric-driven security for Body Area Sensor Networks and active learning strategies in online education.

• Natural Gas Technology
• CO2 Utilization and Capture
• Hydrogen Production and Green Hydrogen
• +۱۳ مورد دیگر

Zhixin Yu is a Professor of Natural Gas Technology at the Department of Energy and Petroleum Technology, Faculty of Science and Technology, University of Southeastern Norway. His research is centered on advanced energy technologies with a strong focus on CO 2 utilization, hydrogen production, electrocatalysis, and next-generation battery systems. He actively collaborates with a broad network of researchers in materials science and chemical engineering. His research interests span CO 2 capture and conversion , green hydrogen production via electrocatalysis and photocatalysis , design of single-atom and nanostructured catalysts (including MOFs, carbon-based materials) , and advanced energy storage systems such as lithium-ion, lithium-sulfur, and lithium-ion capacitors . His work integrates experimental synthesis with theoretical modeling, particularly density functional theory (DFT), to understand and optimize catalytic and electrochemical processes. The recent publications (2021–2025) reveal a strong thematic trend toward electrocatalytic CO 2 reduction to value-added chemicals , hydrogenation reactions using sustainable catalysts , and interface engineering in battery materials to improve stability and performance . The keywords consistently include catalysis, energy materials, CO 2 utilization, and electrochemistry, highlighting his role at the forefront of sustainable energy technology development. Scientific Awards: No scientific awards mentioned in the provided text. Advising and Grants: While specific students or grant details are not listed, Professor Yu appears to lead or significantly contribute to a research group focused on energy materials. His extensive co-authorship with early-career researchers (e.g., Song Lu, Obinna Egwu Eleri, Frederik Thorbjørn Huld) suggests active mentorship and advising. The volume and quality of publications indicate successful acquisition of research funding, likely from national and international sources supporting sustainable energy and materials science. Labs and Teams: No specific lab or research team name is provided. However, his frequent collaboration with colleagues such as Fengliu Lou, Song Lu, and Kun Guo indicates a well-integrated research group within the Department of Energy and Petroleum Technology, likely focused on catalytic materials and energy storage devices.

Julian F. Henriquesمشاهده پروفایل

پژوهشگر

• Sound Studies
• Cultural Studies
• Caribbean Studies
• +۴ مورد دیگر

Dr. Julian F. Henriques is a Senior Research Fellow at Goldsmiths, University of London, and a leading scholar in sound studies, cultural studies, and Caribbean research. With a PhD thesis (2008) on Reggae Sound System Crews, his work bridges music, technology, and embodiment through practice-based research. He has authored the book Sonic Bodies (2011) and co-edited Rhythm, Movement, Embodiment (2014). Currently, he explores fetal auditory environments through the Sonic Womb Exhibition (2026) and contributes to obstetric research on noise exposure. Research Interests: His scholarship focuses on the Jamaican sound system as a cultural technology, analyzing rhythm, affect, and sonic embodiment. He investigates intersections between popular culture, Caribbean diasporic practices, and the materiality of sound through theoretical frameworks like Afrofuturism (2015) and cosmopolitan theory (2020). Recent work combines computational acoustic modeling with ethnographic insights into prenatal soundscapes. Key Publications: Includes articles on fetal noise exposure (2025), Jamaican knowledge systems (2023), and rhythm analysis (2014). His edited works span Stuart Hall's legacy (2018) and sound studies companions. Collaborations with acoustic engineers (2025) demonstrate interdisciplinary reach. Collaborations: Works with institutions like University College London (2025), Tate Modern (2011), and the University of Munich (2014). Leads the Sonic Womb project with Pierre Gélat and Atau Tanaka.