جست‌وجوی استاد و پژوهشگر

Anne Danielsenمشاهده پروفایل

استاد

• Popular Music
• African-American Music
• Rhythm and Sound Analysis
• +۵ مورد دیگر

Anne Danielsen is a Professor and Deputy Head at the RITMO Center for Interdisciplinary Studies of Rhythm, Time, and Motion at the University of Oslo. Her research bridges musicology, cognitive science, and interdisciplinary studies, focusing on rhythm, music production, and the intersection of music, media, and technology. University: University of Oslo Role: Professor Projects: TIME (NFR TOP RESEARCH), RITMO (NFR Center of Excellence) Danielsen’s work explores microrhythm , groove , and temporal perception in music, with a particular emphasis on popular and African-American music . She investigates how music cognition interacts with sonic features and body posture in performance, integrating psychological and acoustic analysis . Her recent projects include MusicLab Copenhagen , a dataset for interdisciplinary concert research, and studies on beta oscillations and pupil responses in groove perception. Danielsen collaborates across disciplines, examining how personality traits and genetic factors influence musical sensibility through twin studies. In music production , she analyzes how digital audio workstations transform rhythmic structures and investigates acoustic chamber design for sound experiments. Her research also addresses gender patterns in music mediation and the cultural implications of rhythmic aesthetics.

• Electrical Machines
• Energy Conversion
• Permanent Magnet Motors
• +۳ مورد دیگر

Lale Tükenmez Ergene is a Professor at Istanbul Technical University 's Department of Electrical Engineering, specializing in Electrical Machines and Energy Conversion . Her work bridges theoretical research and practical applications in motor design for electric vehicles and home appliances. Ph.D. in Electrical Engineering from Rensselaer Polytechnic Institute 20+ years of academic and administrative leadership Focus areas: Permanent Magnet Motors, Synchronous Reluctance Motors, and Sensorless Control Systems Her research explores: Optimization of traction motors for electric vehicles Advanced sensorless control algorithms for motor drives Reduction of voltage distortion in high-performance motors Integration of predictive diagnostics in motor systems Applications of neurofuzzy control systems in multicopters Recent publications highlight trends in PMaSynRM parameter estimation , flux weakening capabilities , and real-time motor diagnostics . Her work spans both traditional electrical engineering and cross-disciplinary innovations like VR-based language learning systems for EU workforce mobility. Scientific recognition includes: Best Poster Paper Award (2016) 2nd Prize in Graduation Design Competition (2015) Doctoral Thesis Excellence Award (2015) She leads projects such as: Pmasynrm's Innovative Real-Time Model Diagnostic System (2021-2024) Sensorless Magnet-Supported Motor Drive for Washing Machines (2019-2022) VR-based Business English Training for Engineers (2018-2022)

Jo Herstadمشاهده پروفایل

دانشیار

• Human-Computer Interaction (HCI)
• Universal Design
• Inclusive Technology
• +۴ مورد دیگر

Jo Herstad is an Associate Professor in the Department of Information Systems Design at the University of Oslo , where she has worked since 2002. With a background in industry at Ericsson (1990-2003), Herstad bridges technical expertise with academic rigor. She teaches courses including: IN1030 - Introduction to Design, Use, Interaction (since 2017) IN2000 - Software Engineering with Project Work IN5480 - Interaction with AI and Autonomous Systems Research Focus: Her work explores Human-Computer Interaction through: Universal Design principles in digital environments Human-Robot Interaction for domestic applications Inclusive Technology across diverse populations Participatory Design methodologies Privacy Dynamics in smart homes Multimodal Systems for elderly care Key Publications (2017-2024) examine motion profiling in robotics, equitable digital feedback, and socio-technical systems. Her supervision includes 15+ master's theses on topics ranging from chatbot ethics to universal design in education. Current projects focus on: Artificial Intelligence and Sensor Technology Multimodal Elderly Care Systems (MECS) Podcast Accessibility (PUD) RHYME: Music Technology for All

• Technology Enhanced Learning
• Activity Theory
• Educational Change
• +۵ مورد دیگر

Brett Bligh is a Senior Lecturer at Lancaster University's Department of Educational Research and Director of the Doctoral Programme in E-Research and Technology Enhanced Learning. His work focuses on technology-driven institutional change in post-compulsory education through Activity Theory and interventionist methodologies like the Change Laboratory. Current roles: Director of Teaching for Department of Educational Research Leadership in International Society for Cultural-historical Activity Research (ISCAR) Co-editorships: Studies in Technology Enhanced Learning, Bureau de Change Laboratory Research interests center on: Digital transformation in higher education Activity theory applications Change Laboratory interventions Technology-enhanced learning frameworks His recent publications analyze: Open Educational Practices (2025) Virtual sustainability initiatives (2025) Pandemic-era educational pivoting (2022) Networked learning frameworks (2023) He supervises numerous PhD students (20+) working on: AI integration in teaching Blended learning communities Logistics education reform Medical professional identity

• Language Change
• Historical Linguistics
• Germanic Linguistics
• +۵ مورد دیگر

Tanja Ackermann is a Professor of German Linguistics with a focus on Variation and Change at Bielefeld University , holding the position since 2023. She serves as project leader in two subprojects of the Collaborative Research Center 1646: Linguistic Creativity in Communication (projects A06 and B03), and as a member of BiSEd (Bielefeld School of Education). Her academic affiliations include the Faculty of Linguistics and Literary Studies and its Habilitation Committee . Doctorate in Linguistics (2017) Habilitation, Venia legendi in German Linguistics (2023) Prior academic roles: Acting Professor at University of Mainz (2020–2022), Research Associate at Freie Universität Berlin (2011–2023), and short-term lectureship at Peking University (2017). Research interests span diachronic and synchronic analysis of language variation (areal/sociolinguistic), language change (functional/contrastive), historical grammar (morphology/morphosyntax), and pragmatics (speech acts, address forms, (im)politeness, expressivity). She specializes in onomastics (name grammar, sociopragmatic aspects, phonology) and interactive linguistic creativity (interrogative forms, indirect meaning). Publications reflect trends in Germanic morphosyntax, historical pragmatics, and onomastic variation. Key themes include inflectional erosion , possessive markers , and gendered phonological patterns in proper names. Scientific Recognition Awarded Wilhelm von Humboldt Prize by the DGfS in 2019 Affiliation Highlights Project leader for SFB 1646 (linguistic creativity in communication) Previous involvement in SRC 980 'Episteme in Motion' (subproject C08, 2016–2020)

• Wireless Communication
• Machine Learning
• Signal Processing
• +۴ مورد دیگر

Prof. Dr. Haris Gačanin is a faculty member at RWTH Aachen University, affiliated with the Institute for Distributed Signal Processing under the College of Electrical Engineering. His research focuses on integrating machine learning with wireless communication systems, particularly in industrial IoT, edge computing, and network optimization. Current academic rank: Professor Contact: harisg@dsp.rwth-aachen.de Research Interests: Wireless systems, machine learning, signal processing, and network optimization. Key contributions include: Adaptive resource allocation in IIoT and vehicular networks AI-driven channel estimation and feedback mechanisms Security-oriented emitter identification via metric learning Federated/transfer learning for edge environments Hardware-efficient deep learning models for mmWave and THz communications Methodological Focus: Combines reinforcement learning, attention mechanisms, and robust neural architectures with practical implementations on FPGA and vehicular systems.

Georgios Zourarisمشاهده پروفایل

استاد

• Numerical Analysis
• Finite Element Methods
• Stochastic Partial Differential Equations
• +۳ مورد دیگر

Georgios Zouraris is a Professor at the University of Crete, where he has maintained an active research profile since earning his Ph.D. from the same institution in 1995. His work is centered in the School of Science and Engineering, focusing on advanced computational mathematics with applications in physics and engineering. Education: Ph.D. in Mathematics, University of Crete, 1995 Professor Zouraris specializes in the development and rigorous analysis of numerical methods for partial differential equations. His research spans finite element and finite difference techniques for nonlinear Schrödinger equations, logarithmic heat equations, and stochastic PDEs with space-time white noise. Key contributions include error estimation frameworks for relaxation schemes, convergence analysis of Crank-Nicolson methods, and efficiency improvements for multilevel Monte Carlo simulations. His theoretical work consistently addresses singular nonlinearities and complex domain geometries, bridging mathematical rigor with computational practicality. Analysis of his 2020-2025 publications reveals a sustained focus on high-accuracy numerical schemes for challenging PDEs, particularly those involving logarithmic singularities and stochastic forcing. Recent work demonstrates increasing sophistication in handling noncylindrical domains and coupling strategies, with applications ranging from quantum systems to material science. The publications show consistent emphasis on provable convergence rates and computational efficiency. Information regarding student advising, research grants, and laboratory facilities is not documented in the available sources. His active publication record through 2025 indicates ongoing research leadership in computational mathematics.

Mark Oskinمشاهده پروفایل

استاد مدعو

• Computer Architecture
• Parallel Computing
• Graph Processing
• +۱۲ مورد دیگر

Mark Oskin is an Adjunct Professor at the School of Computer Science and Engineering , University of Washington , focusing on Software & Hardware Systems . He leads the Sampa Group and collaborates on projects like HammerBlade and BlackParrot. University: University of Washington School: School of Computer Science and Engineering Department: Department of Electrical & Computer Engineering His research spans Computer Architecture , Parallel Computing , and Graph Processing , with additional expertise in Quantum Computing , Open Source Hardware , and Distributed Shared Memory . Ongoing work includes custom manycore devices for graph execution and open-source RISC-V designs. Past projects like Grappa and WaveScalar advanced distributed memory and dataflow execution. Recent publications include BlackParrot: An Agile Open Source RISC-V Multicore for Accelerator SoCs (IEEE Micro 2020) and Perceptual Compression of Video Storage and Processing Systems (SoCC 2019), reflecting trends in hardware-software co-design, quantum systems, and energy-efficient video processing. Best Paper Award , USENIX ATC 2015 IEEE Micro Top Picks , 2009 Mark has advised numerous students, including Amrita Mazumdar (IoT video compression startup), Brandon Lucia (CMU), and Steve Swanson (UC San Diego). He co-founded Corensic, a startup exploring deterministic multithreaded execution.

• MIMO communications
• Reconfigurable intelligent surfaces
• Radio resource allocation
• +۴ مورد دیگر

Emil Björnson is a Professor of Wireless Communications and Head of the Communication Systems Department at KTH Royal Institute of Technology since 2024. He received his Master of Science in Engineering Mathematics from Lund University (2007) and PhD in Telecommunications from KTH (2011). After postdoctoral work at SUPELEC, France (2012-2014), he held faculty positions at Linköping University (2014-2021) before returning to KTH in 2020. Research Focus: MIMO communications, reconfigurable intelligent surfaces, radio resource allocation, machine learning for communications, and energy efficiency Editorial Roles: Editor for multiple IEEE transactions and magazines His research has significantly advanced wireless communication technologies, particularly in Massive MIMO and cell-free systems. He has authored four textbooks, including Massive MIMO Networks (2017) and Introduction to Multiple Antenna Communications and Reconfigurable Surfaces (2024). Scientific awards include: IEEE Fellow Clarivate Highly Cited Researcher Wallenberg Academy Fellow Digital Futures Fellow Multiple IEEE and EURASIP awards (2014-2024)

Paul Thébergeمشاهده پروفایل

استاد

• Music Technology
• Sound Studies
• Internet and Music
• +۳ مورد دیگر

Paul Théberge is a Professor at Carleton University, cross-appointed to the Institute for Comparative Studies in Literature, Art and Culture and the School for Studies in Art and Culture (Music). He teaches graduate courses in Cultural Mediations (technologies of culture), Film Studies (sound in visual media), and Music (sound studies), reflecting his interdisciplinary academic home within Ottawa's major research institution. His research interrogates the material and cultural dimensions of sound technologies, with core expertise in music-technology-culture intersections, internet-mediated musical practices, and sonic applications in film/television. Théberge's scholarship bridges musicology, media studies, and science and technology studies, examining how recording technologies reshape creative practice and auditory experience across historical periods from analog tape to digital streaming platforms. Analysis of his 15 most recent publications reveals persistent engagement with sound's materiality—from multichannel audio histories to the embodied nature of listening—and consistent exploration of technological transitions, particularly the internet's disruption of traditional music production/distribution models. His work demonstrates deep methodological versatility spanning archival research, ethnographic observation, and creative composition. Scientific recognition includes: International Association for the Study of Popular Music (US branch, 1998) Society for Ethnomusicology (2000) While the source text doesn't specify current advising activities, his extensive editorial work (e.g., co-editing Living Stereo ) and composition output suggest significant mentorship through collaborative projects. His research has been supported through Canada Research Chair funding and industry partnerships like Sony Classical International.

Zahra Aminzareمشاهده پروفایل

دانشیار

• Mathematical Biology
• Dynamical Systems
• Nonlinear Dynamics
• +۳ مورد دیگر

Zahra Aminzare is an Associate Professor of Mathematics at the University of Iowa. She is affiliated with the Department of Mathematics within the College of Liberal Arts and Sciences. Her research focuses on Mathematical Biology and Dynamical Systems, with emphasis on modeling biological systems such as cellular homeostasis, insect locomotion, and neural oscillators. She holds a PhD from Rutgers University. Her work explores topics including synchronization in nonlinear networks, stochastic processes in biological systems, and the application of contraction theory to stability analysis. Notable contributions include studies on ion transport dynamics, bacterial chemotaxis, and phase reduction in noisy oscillators. Her research bridges mathematical methodologies with biological phenomena, addressing questions related to system robustness and emergent behaviors. Aminzare’s publications span across journals and conferences, with recent work addressing rhythmicity in insect locomotion, spike-generation mechanisms in multi-timescale systems, and stochastic synchronization in networked systems. She maintains an active research lab focused on interdisciplinary applications of dynamical systems theory.

Jane-Ling Wangمشاهده پروفایل

استاد

• Deep Learning
• Functional Data Analysis
• Longitudinal Data Analysis
• +۴ مورد دیگر

Jane-Ling Wang is a Distinguished Professor in the Department of Statistics at the University of California, Davis. Her research focuses on advancing statistical methodologies for functional and longitudinal data analysis, deep learning applications, and survival analysis. She holds a Ph.D. from UC Berkeley and has contributed extensively to interdisciplinary fields including neuroscience, biostatistics, and machine learning. Wang has received numerous accolades, including being elected an Academician at Academia Sinica (2022), recipient of the Humboldt Research Award (2020), and the ICSA Distinguished Achievement Award (2018). Her work bridges theory and practice, addressing challenges in data sparsity, dynamic systems modeling, and high-dimensional statistical inference. Her recent publications emphasize innovative techniques such as SAND (Transformer-based data imputation) and adaptive basis layers for functional data analysis. These contributions underscore her expertise in integrating modern computational tools with classical statistical frameworks.

• Artificial Intelligence
• Cloud Computing
• Fog Computing
• +۳ مورد دیگر

Sundas Iftikhar is a Teaching Professor at the School of Electronic Engineering and Computer Science, Queen Mary University of London. She specializes in software engineering education and research focused on artificial intelligence, fog/cloud computing, and task scheduling optimization. Her research spans AI applications in distributed systems , including Energy-efficient computing Quality of Service (QoS) optimization Deep learning for healthcare Cloud-fog hybrid architectures Recent publications analyze AI-based fog/edge computing trends , with emphasis on systematic reviews, taxonomy development, and sustainability. She also explores machine learning for serverless computing and smart home applications through fog infrastructure. Teaching duties include the Software Engineering Project module, where students work in teams to solve real-world problems.

Ingrid Moermanمشاهده پروفایل

استاد

• Wireless Networking
• Cognitive Radio Networks
• Internet of Things
• +۴ مورد دیگر

Ingrid Moerman is a part-time Professor at Ghent University and a staff member at the Internet Technology and Data Science Lab (IDLab), a core research group of imec embedded within Ghent University and the University of Antwerp. She coordinates mobile and wireless networking research and leads a team of over 30 researchers at Ghent University, with extensive involvement in European and national funding initiatives. She received her Electrical Engineering degree (1987) and Ph.D. (1992) from Ghent University. Her research spans collaborative networks, cognitive radio, software-defined radio, IoT, LPWAN, and high-density wireless access, emphasizing experimentally-supported development of next-generation wireless systems with practical implementations in spectrum management and real-time control. Recent publications (2024-2025) reveal a strong pivot toward AI-integrated wireless networking, featuring OFDMA scheduling innovations, Wi-Fi 6/7 interference mitigation, and time-sensitive networking for industrial applications. Key trends include 5G/6G convergence, vehicular communication enhancements, and digital twin frameworks for network observability, reflecting her focus on mission-critical industrial use cases. Her accolades include: 9 Best Paper Awards 2 FWO Prizes (Research Foundation - Flanders) IMEC Prize of Excellence 2001 MSc Thesis Award (as promoter) Best Demo/Exhibit Award at ICT 2013 DARPA Spectrum Collaboration Challenge Prize ($750,000) She has coordinated major EU projects (FP7/H2020: CREW, WiSHFUL, eWINE, ORCA) with industry partners, securing substantial funding for experimental wireless research. Her grant portfolio emphasizes collaborative innovation in spectrum sharing and neutral-host architectures for multi-operator environments. At IDLab, she directs advanced wireless testbeds supporting real-world validation of technologies like openwifi and White Rabbit, with active experimentation in time-sensitive networking and spectrum collaboration for industrial IoT deployments.

Fleur Dekenمشاهده پروفایل

استاد

• Mission-Oriented Innovation
• Innovation Ecosystems
• Interorganizational Collaboration
• +۵ مورد دیگر

Prof. Fleur Deken is a Full Professor of Strategy, Technology & Innovation at Vrije Universiteit Amsterdam and holds a University Research Chair. She serves as Vice-Dean of Research at the School of Business and Economics. Her work focuses on mission-oriented innovation, innovation ecosystems, and interorganizational collaboration, particularly in addressing societal challenges through strategic experimenting with digital technologies. Education: PhD (cum laude, TU Delft), MSc Strategic Product Design (TU Delft), BSc Psychology (UvA), BSc Industrial Design Engineering (TU Delft), and a minor in Business Admin (NUS). Research emphasizes routine dynamics, process research methods, and open science. She leads projects with Philips, BSH, and public institutions like the City of Amsterdam, focusing on innovation ecosystems and fieldlabs. Key grants include €1.5M NWO KIC Mission Driven Innovation and NWO Veni awards. Teaching roles include coordinating the BSc International Business Admin program (2020–2024) and executive courses on innovation management. Editorial roles include Academy of Management Journal and Strategic Organization. Notable contributions include studies on healthcare ecosystems, temporal coordination in smart city projects, and reusing qualitative data for open science. Her work spans management, strategy, innovation studies, and design disciplines.