جستجوی استاد راهنمای دانشگاهی

Jørgen Arendt Jensenمشاهده پروفایل

استاد

• Medical Ultrasound
• Biomedical Signal Processing
• Digital Signal Processing
• +۴ مورد دیگر

Jørgen Arendt Jensen is a Professor of Biomedical Signal Processing at the Technical University of Denmark (DTU), with dual affiliations in the Department of Health Technology and the Department of Electrical Engineering (DTU Elektro). He leads the Center for Fast Ultrasound Imaging (CFU), a collaborative initiative involving DTU, BK Medical, Rigshospitalet, and DTU Nanotech. His research focuses on advanced medical ultrasound technologies, including synthetic aperture imaging, vector flow imaging, and ultrasound simulation, aiming to improve clinical image acquisition efficiency and accuracy. He teaches medical imaging courses and co-initiated the joint biomedical engineering program between DTU and the University of Copenhagen. Jensen’s work contributes to UN Sustainable Development Goals related to health and innovation. His research interests span algorithm development for fast ultrasound imaging, blood velocity characterization, and simulation of ultrasound systems. He supervises multiple PhD students and collaborates on projects involving transducer design, real-time imaging systems, and microvascular pathology analysis. Recent publications emphasize advancements in super-resolution ultrasound imaging, transducer optimization, and pressure gradient estimation. His lab, CFU, develops cutting-edge imaging solutions for clinical applications. Jensen’s contributions include patents on ultrasound imaging techniques and collaborative ventures to enhance diagnostic capabilities through interdisciplinary engineering.

Kevin Crowstonمشاهده پروفایل

استاد

• Information Systems
• Human-Computer Interaction
• Virtual Organizations
• +۵ مورد دیگر

Kevin Crowston is a Distinguished Professor of Information Science at Syracuse University's School of Information Studies (iSchool), where he examines how information technology enables new organizational forms through empirical studies, theoretical modeling, and system design. His work focuses on coordination-intensive processes in virtual settings, with significant contributions to citizen science, data science teamwork, and journalism transformation. Education A.B. in Applied Mathematics (Computer Science), Harvard University, 1984 Ph.D. in Information Technologies, MIT Sloan School of Management, 1991 Research Focus : Crowston investigates coordination mechanisms in human-AI collaboration, particularly through projects like Gravity Spy (combining citizen scientists with machine learning for gravitational wave analysis) and journalism innovation (e.g., ReelFramer for AI-assisted news-to-video translation). His framework addresses how intelligent systems reshape work design, knowledge production, and team dynamics in scientific and media contexts. Publication Trends : Recent articles (2024-2025) reveal three dominant threads: (1) Human-AI co-creation in journalism (deskilling/upskilling dynamics, creative tool adoption), (2) Citizen science evolution with AI (co-learning systems, lexical entrainment), and (3) Socio-technical governance of intelligent machines (control-accountability alignment, project archetypes). These reflect his central inquiry into how technology reconfigures work structures. Scientific Recognition ACM Distinguished Speaker Research Leadership : Crowston currently directs two major NSF initiatives: (1) HCC grant 21-06865 on intelligent support for non-expert information navigation, and (2) FW-HTF grant 21-29047 exploring human-technology collaboration in journalism. He spearheaded a Research Coordination Network establishing socio-technical frameworks for work in the age of intelligent machines, culminating in a special issue of Information, Technology & People . Collaborative Infrastructure : He co-leads the Gravity Spy citizen science ecosystem (integrating LIGO physicists, machine learning systems, and volunteers) and serves as co-editor-in-chief of Information, Technology and People , previously editing ACM Transactions on Social Computing . His MIDST platform research advances stigmergic coordination for data science teams.

Hossein Namiمشاهده پروفایل

دانشیار

• Power-to-X
• Hydrogen
• E-fuel
• +۳ مورد دیگر

Hossein Nami is an Associate Professor at the Department of Green Technology (IGT) and SDU Life Cycle Engineering at the University of Southern Denmark . His research focuses on Power-to-X , Hydrogen production , E-fuel , and system modeling for sustainable energy solutions. PhD, University of Tabriz (2018) Postdoc, Technical University of Denmark (2020-2022) Assistant Professor, University of Southern Denmark (2022-2025) Nami's research output includes 15 articles (2024-2026) on topics like ammonia-fueled fuel cells , geothermal cycles , chemical looping combustion , and electrolysis optimization . His work emphasizes techno-economic analysis, exergy efficiency, and multi-objective optimization for low-carbon energy systems. He leads the FLEX-ENVIRONMENT project (2024-2027) on electrolyzer integration and contributes to CARMA-Green Fuels (2023-2026) and GRACE (2025) for carbon management and grid-aware investment. His teaching includes supervision of MSc theses on renewable hydrocarbons and power-to-X technologies at SDU.

Mikkel N. Schmidtمشاهده پروفایل

دانشیار

• Statistical Modeling
• Machine Learning
• Bayesian Methods
• +۳ مورد دیگر

Mikkel N. Schmidt is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU). His research focuses on statistical modeling, Bayesian methods, and their applications in science and industry. He has held visiting roles at Columbia University (2007) and Cambridge University (2008-2009). His work integrates probabilistic modeling with computational inference to address complex problems in diverse fields such as molecular discovery, optical communication, and brain connectivity analysis. Education highlights include visiting scholar and postdoctoral experiences at top-tier institutions. Research interests span statistical methodology development, machine learning applications, and interdisciplinary problem-solving. Current projects involve Bayesian neural networks for molecular discovery and federated learning optimization. Advising efforts include supervising multiple PhD students in areas like molecular discovery and denoising diffusion models. Notable collaborations involve work on materials science, quantum communication, and medical signal processing. His contributions bridge theoretical advancements with practical industrial applications, emphasizing interdisciplinary innovation.

Prithvi Ravi Kantanمشاهده پروفایل

پژوهشگر

• Rehabilitation Technology
• Biofeedback Systems
• Sound Processing
• +۶ مورد دیگر

Prithvi Ravi Kantan is a full-time Researcher at Aalborg University's Department of Architecture, Design and Media Technology within The Technical Faculty of IT and Design. His work focuses on developing sound-based and multimodal feedback systems for motor rehabilitation, integrating principles from music technology and biomedical engineering. Education: PhD in Embodied Sonification Design (2021-2023) M.Sc. in Sound and Music Computing (2018-2020) B.E. in Electronics and Telecommunications (2009-2013) Research interests include real-time auditory feedback systems for neurological rehabilitation, user-centered design of clinical technologies, and the application of generative music in data sonification. He actively contributes to projects like HearWalk (2023-2027), exploring sound-facilitated motor learning in cerebral palsy patients. Notable achievements include winning the Danish Sound Day Research Pitch Battle (2023) and receiving the Best Student Paper Award at ICAD 2024. His work aligns with UN SDG 3 (Good Health) and SDG 4 (Quality Education). Teaching responsibilities include coordinating bachelor and master-level courses in PBL-based learning, emphasizing interdisciplinary approaches. He has supervised multiple student projects and contributed to over 39 publications since 2013.

John Bagterp Jørgensenمشاهده پروفایل

استاد

• Model Predictive Control
• Numerical Optimization
• Process Control
• +۵ مورد دیگر

John Bagterp Jørgensen is a Professor at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU). His research focuses on computational methods for Model Predictive Control (MPC), numerical optimization, and dynamic optimization, with applications in industrial processes, biomedical systems, and sustainable energy. He holds leadership roles in 2-control ApS, a company developing advanced control solutions for industries such as cement production and oil recovery. Education: PhD and M.Sc. in Technical Sciences from DTU (1997–2005 and 1991–1997). Professional experience includes roles as an Assistant Professor at DTU and CTO/CEO at 2-control ApS. Research interests span MPC algorithms, numerical methods for differential equations, and system identification. His work bridges academia and industry, addressing challenges in energy efficiency, vaccine manufacturing, diabetes treatment, and cement production processes. His recent articles emphasize industrial applications of control systems, including cement rotary kiln dynamics, vaccine production optimization, and dual-hormone artificial pancreas development. He has received the Nordic Energy Research Award (1994) and contributed to UN Sustainable Development Goals related to affordable energy and industrial innovation. Advising and grants: Supervises multiple PhD projects on topics like electrification of industrial processes and sustainable SCP production. Collaborates with global institutions on energy and biomedical research. Labs/teams: Leads teams in DTU’s Scientific Computing and Center for Energy Resources Engineering, with active partnerships in industry and academia.

Jesper Rindom Jensenمشاهده پروفایل

دانشیار

• Audio Signal Processing
• Artificial Intelligence
• Speech Enhancement
• +۱۲ مورد دیگر

Jesper Rindom Jensen is an Associate Professor in the Department of Electronic Systems at Aalborg University, Denmark, under the Technical Faculty of IT and Design. He is the Head of the Audio Analysis Lab, a leading research group in audio signal processing, since 2023. His work bridges theoretical signal processing and practical applications in artificial intelligence and audio systems. Full Name: Jesper Rindom Jensen Institution: Aalborg University School: The Technical Faculty of IT and Design Department: Department of Electronic Systems Research Lab: Audio Analysis Lab Email: jrj@es.aau.dk Office: Fredrik Bajers Vej 7B, B5-206, 9220 Aalborg Øst, Denmark Education: M.Sc. in Electronic Systems, Aalborg University (cum laude, 2009) Ph.D. in Signal Processing, Aalborg University (2012) Research Interests: Jesper Rindom Jensen's research centers on audio signal processing, with a strong emphasis on artificial intelligence, speech enhancement, noise reduction, beamforming, and multichannel systems. His work applies to diverse domains including robot and drone audition, spatial audio, and active noise control. He develops novel filtering techniques, including variable span linear filters and harmonic beamformers, to improve speech quality and intelligibility in noisy and reverberant environments. Publication Trends: His recent publications (2023–2025) show a strong trend toward integrating deep learning with classical signal processing, particularly in direction-of-arrival estimation, underwater acoustics, and robust multichannel systems. There is a clear focus on real-world applications, including sound zone control, active noise control, and limited-data scenarios using knowledge distillation. His work consistently emphasizes robustness, efficiency, and practical deployment. Scientific Awards and Recognition: AAU Talent for emerging research leaders Recipient of a competitive postdoc grant from the Danish Independent Research Council Advising and Grants: Jesper has supervised multiple PhD and master’s students, including Nørholm, Karimian-Azari, Zhang, and Wang. He has led significant research projects such as 'Sound Processing for Robots and Drones' (2018–2020) and participated in others related to joint audio-visual tracking and speech enhancement. His research has been supported by national funding bodies, reflecting its innovation and impact. Labs and Teams: He is a founding and core member of the Audio Analysis Lab at Aalborg University, which focuses on cutting-edge audio signal processing and AI-driven solutions. The lab fosters interdisciplinary collaboration and has produced numerous publications, datasets, and real-world applications. Jensen’s leadership since 2023 underscores his pivotal role in shaping the lab’s research direction.

• Nanofiber Technology
• Electrospinning
• Environmental Nanotechnology
• +۱۲ مورد دیگر

Wenjing Zhang is a Professor and Head of the Section for Water Technology and Processes at the Department of Environmental and Resource Engineering, Technical University of Denmark (DTU). She is also affiliated with the DTU Microbes Initiative, contributing to interdisciplinary research in sustainable water technologies and environmental nanomaterials. Professor, DTU Head of Section, Water Technology & Processes Member, DTU Microbes Initiative Her research spans nanofiber technology, electrospinning, membrane processes, and catalytic materials for environmental applications. She focuses on innovative solutions for water purification, plastic waste recycling, CO2 photoreduction, and green hydrogen production, aligning with UN Sustainable Development Goals. The recent publications highlight a strong trend in advanced materials for environmental sustainability, particularly electrospun nanofibers, heterojunction photocatalysts, and ceramic membranes. These works emphasize applications in microplastic degradation, solid oxide cells, and chemical recycling of plastics, reflecting a multidisciplinary approach combining materials science, electrochemistry, and environmental engineering. Researcher at DTU Energy becomes honorary professor in China Wenjing Zhang actively supervises PhD students and leads multiple research projects, including EU and nationally funded initiatives on decentralized wastewater treatment and biocatalytic membrane systems. She collaborates with leading researchers and institutions, securing funding for high-impact environmental technologies. Her lab focuses on nanostructured membrane design and advanced fabrication of porous ceramics for industrial and municipal applications.

Remus Teodorescuمشاهده پروفایل

استاد

• Battery (Electrochemical Energy Engineering)
• Modular Multilevel Converter
• Lithium-Ion Batteries
• +۶ مورد دیگر

Remus Teodorescu is a Professor at AAU Energy , Aalborg University , specializing in Power Electronics System Integration and Materials . His work bridges Lithium-Ion Batteries , Modular Multilevel Converters , and Smart Battery Systems . Education : Not explicitly mentioned in the text. Research Interests focus on Battery Management Systems , AI-Driven Energy Optimization , and Power Electronics for renewable energy integration. Key projects include Digital Twin for Lithium-Ion Batteries and BMS-DC for Data Centers . Recent Publications (2025) emphasize Finite Set MPC , Gradient Descent Optimization , and AI in Battery Parameter Estimation . His 2024 work explores Physics-Informed Neural Networks and Fault-Tolerant Converters . Scientific Awards : Villum Foundation Grant (313 million kroner, 2021) Named world's best in electrical engineering (2023) Advising includes supervising PhD projects on AI-Accelerated Battery Twins and Data-Driven SOH Estimation . Collaborations span Energy Cluster Denmark and Villum Fonden .

Stine Krøijerمشاهده پروفایل

دانشیار

• Political Anthropology
• Nature-Culture Relations
• Cosmology
• +۱۹ مورد دیگر

Stine Krøijer is an Associate Professor in the Department of Anthropology at the University of Copenhagen, Faculty of Social Sciences. Her research focuses on political anthropology, nature-culture relations, cosmology, time, multispecies ethnography, anarchism, autonomy, and indigenous peoples, with regional expertise in the Amazon and Scandinavia. She is actively involved in major research projects such as 'Lokale Landvindinger' (2021–2025) and 'Fire and Political Alterity in Amazonia' (2023–), funded by the Velux Foundation and the Danish Research Council, respectively. Her educational background includes a PhD in Anthropology from the University of Copenhagen, awarded in 2011. Prior to her academic career, she worked with Oxfam_IBIS on forest, climate, and indigenous rights issues in the Amazon basin from 2002 to 2007 and again from 2010 to 2014. Stine Krøijer’s research explores the political agency of non-human entities like trees, the performative aspects of climate activism, and the temporalities of radical politics. Her work bridges anthropology with environmental studies, political theory, and indigenous epistemologies. She investigates how radical environmental change—such as deforestation, peatland restoration, and forest fires—reshapes political subjectivities and social futures. Her recent publications reflect a strong trend in climate politics, environmental activism, and the ontological status of nature. Themes include the agency of trees, dystopian imaginaries in environmental movements, and the co-creation of landscapes in Denmark. Her research combines ethnographic depth with theoretical innovation, particularly in understanding how ecological crises generate new forms of political alterity. Member, Expert Council on Nature National Parks, Ministry of Environment, Denmark Coordinator, Green Solution Centre, University of Copenhagen Editor, Tidsskriftet Antropologi She teaches courses on climate, nature, environment, global flows, project design, and fieldwork methods. Her advisory and grant activities are centered on externally funded research projects focusing on climate change, indigenous rights, and environmental transformation. She is also involved in public engagement through lectures and exhibitions such as 'Amazon Trails' and 'Climate/Kettle: Aesthetics of Resistance'. Stine Krøijer leads and participates in research groups focused on nature, environment, and climate. She collaborates with interdisciplinary teams across Denmark and Latin America, particularly in the Amazon region. Her work is embedded in both academic and policy-oriented networks, contributing to the Green Solution Centre and national environmental councils.

James A. Evansمشاهده پروفایل

استاد

• Computational Social Science
• Collective Intelligence
• Science of Science
• +۱۲ مورد دیگر

James A. Evans is the Max Palevsky Professor of Sociology and Data Science at the University of Chicago, where he is a faculty member in the Department of Sociology within the Division of the Social Sciences. He is the director of Knowledge Lab and the Faculty Director of the Masters Program in Computational Social Science . He holds additional affiliations as an External Professor at the Santa Fe Institute , External Faculty at the Complexity Science Hub, Vienna , and Visiting Faculty Researcher at Google . Education: B.A. in Anthropology, Brigham Young University (1994) M.A. in Sociology, Stanford University (1999) Ph.D. in Sociology, Stanford University (2004) His research centers on the collective system of thinking and knowing , exploring how ideas emerge, spread, and evolve through social and technical systems. He investigates innovation, collective intelligence, and the science of science , using large-scale data modeling, machine learning, generative AI, and network analysis to study knowledge creation. His work spans domains including science, technology, law, and religion, with a focus on how AI is reshaping discovery processes. The most recent publications highlight trends in AI and scientific discovery , with a strong emphasis on innovation, knowledge systems, and human-machine intelligence . His research increasingly explores AI as a transformative agent in science , including the concept of 'alien intelligence' and the development of complementary AI to augment human capacity. Projects like the $20M NSF-funded APTO initiative aim to build language models that predict technological outcomes by analyzing historical data. Scientific Recognition and Funding: Research supported by the National Science Foundation (NSF) , National Institutes of Health (NIH) , Air Force Office of Scientific Research (AFOSR) , and philanthropic sources Work published in Nature, Science, PNAS , and leading social science journals Featured in The New York Times, The Economist, The Atlantic, Wired, NPR, BBC, Le Monde , and others James Evans advises on science policy and funding strategies, emphasizing the importance of diversity, interdisciplinary collaboration, and demographic balance in fostering innovation. He critiques current academic incentives and proposes alternative discovery regimes. He leads Knowledge Lab , a collaborative research environment that conducts seminars, grants, and employment opportunities in computational social science and AI.

Dorte Hammershøiمشاهده پروفایل

استاد

• Acoustics
• Hearing Science
• Audio Engineering
• +۵ مورد دیگر

Dorte Hammershøi is a Professor in the Department of Electronic Systems at The Technical Faculty of IT and Design, Aalborg University, Denmark. Her research focuses on acoustics, sound engineering, and hearing science with significant contributions to human hearing, ear canal acoustics, and audio technology applications. Her research interests include: Temporary Threshold Shift and frequency resolution in human hearing Ear canal acoustics and sound pressure level measurement Distortion Product Otoacoustic Emission (DPOAE) analysis Impulse response and acoustic impedance studies Hearing aid technology and rehabilitation methodologies Virtual reality audio interfaces and accessibility applications Professor Hammershøi's recent publications demonstrate a strong clinical-engineering interdisciplinary approach, bridging theoretical acoustics with practical hearing rehabilitation applications. Her work on hearing aid fitting methodologies, occupational noise exposure effects, and virtual reality audio interfaces shows consistent innovation in translating engineering principles to clinical practice. The research shows particular attention to individualized hearing solutions and accessibility technologies. Her scientific contributions have been recognized with: Dansk Lydpris 2020 (awarded November 17, 2021) Ambassadør for Aalborg (awarded September 15, 2004) Professor Hammershøi has supervised 5 PhD students and led numerous research projects including the ongoing "Audio Only VR for Blind Gamers" project (2024-2028) funded by the Independent Research Foundation of Denmark, and the completed "BEAR: Better Hearing Rehabilitation" project (2016-2022). Her research has attracted significant media attention with 110 press/media appearances discussing hearing damage prevention, tinnitus, and public health implications of noise exposure. She maintains active professional engagement through committee memberships (46 documented activities), international collaborations, and contributions to clinical practice guidelines. Her work continues to influence both academic research and practical applications in hearing science and audio engineering.

Eva Sørensenمشاهده پروفایل

استاد

• Political leadership in the age of governance
• Policy innovation
• Citizen involvement and co-creation in local governance
• +۳ مورد دیگر

Eva Sørensen is a Professor at the Department of Social Sciences and Business, Roskilde School of Governance, Roskilde University. Her work focuses on political leadership, co-creation, and network governance, with a particular emphasis on democratic quality and institutional development in public administration. Education: PhD in Political Science (1996), MA in Political Science (1989), both from University of Copenhagen. Research interests include: Metagovernance and network governance Citizen co-creation in local governance Robust governance in turbulent times Democratic theory and institutional development Recent article trends explore co-creation for sustainability, hybrid governance models, and the application of robustness theory to public administration challenges. Her collaborative research spans Denmark, Norway, and international contexts. Scientific awards : Best article in American Review of Public Administration (2011) Best Article in Public Administration (1998) Highly Commended paper (2020) Teaching and supervision includes extensive work with PhD students and mid-career master's programs. She leads major research projects like ROBUST (2022-2026) and GOGREEN (2022-2026), and previously directed the Danish National PhD School Polforsk (2008-2012). Labs and teams include the Center for Societal Security and Resilience (SECURE) and the Centre for Democratic Network Governance (CDN). She collaborates globally through networks like ECPR, ASPA, and IRSPM.

• Algorithms
• Computational Complexity
• Theoretical Computer Science

Yassine Ghannane is a Research Fellow at the Department of Computer Science , University of Copenhagen , specializing in Algorithms and Complexity . University: University of Copenhagen Department: Department of Computer Science Research Focus: Theoretical computer science, permutation-based evolutionary algorithms, computational complexity His recent work includes runtime analysis and theory development for permutation-based evolutionary algorithms, as well as module-based neural network mapping heuristics. Publications span 2022–2024 with interdisciplinary applications in machine learning and optimization. Contact: yagh@di.ku.dk | Office: Universitetsparken 1, 2100 København Ø, Denmark

• Machine Learning
• Pattern Recognition
• Classification
• +۶ مورد دیگر

Christian Igel is a Professor at the Department of Computer Science, University of Copenhagen, and serves as director of the SCIENCE AI Centre . He is also a co-lead of the Pioneer Centre for Artificial Intelligence in Denmark. His academic journey includes a Doctoral degree from Bielefeld University (2002) and a Habilitation degree from Ruhr-University Bochum (2010). Igel is a Juniorprofessor (2002–2010) and has held editorial roles at journals like KI - Künstliche Intelligenz and Artificial Intelligence Journal . Doctoral degree: Faculty of Technology, Bielefeld University, Germany (2002) Habilitation degree: Department of Electrical Engineering and Information Sciences, Ruhr-University Bochum, Germany (2010) His research spans Machine Learning , focusing on Support Vector Machines , Evolution Strategies , Reinforcement Learning , Deep Neural Networks , and PAC-Bayesian Analysis . He applies these methods to Environmental Monitoring , Medical Diagnostics , and Climate Research . Recent publications highlight work on adversarial machine learning , environmentally sustainable AI , and tree resource mapping using deep learning. His scientific awards include being a ELLIS Fellow . Igel’s software tools like Shark , woody , and Multi-Planar UNet are widely used in research and industry. Notable grants and collaborations involve projects with European Lab for Learning and Intelligent Systems (ELLIS) , SCIENCE AI Centre , and international teams in Denmark , Germany , and France . His lab leadership emphasizes open-source frameworks and reproducible research. Editorial Roles: German Journal on Artificial Intelligence , Evolutionary Computation Journal , Artificial Intelligence Journal Software Projects: Shark , woody , Multi-Planar UNet , U-Time Collaborations: SCIENCE AI Centre , Pioneer Centre for Artificial Intelligence , European Lab for Learning and Intelligent Systems