جست‌وجوی استاد و پژوهشگر

Emad Samuel Malki Ebeidمشاهده پروفایل

استاد

• Robotics
• Embedded Systems
• Smart Grids
• +۳ مورد دیگر

Emad Samuel Malki Ebeid is a Professor at the Institute of Mechanical and Electrical Engineering, University of Southern Denmark, specializing in robotics, drone technology, and power line inspection systems. His work bridges embedded systems, FPGA acceleration, and smart grid applications. PhD in Computer Science, University of Verona (2014) Postdoc in Electrical and Computer Engineering, Aarhus University (2016) Research interests focus on robotics , UAV autonomy , and power line inspection , with a strong emphasis on embedded systems and magnetic gripper design . Articles highlight trends in mmWave radar , GPU/FPGA acceleration , and drone swarm coordination for infrastructure maintenance. Scientific contributions include: IEEE Senior Member PI and Coordinator roles in EU Horizon Europe projects (Robots4Green, SPADE) Development of AERIAL-CORE and Drones4Safety frameworks Supervision of PhD students V. D. Hoang , N. H. Malle , and F. F. Nyboe Lab and team involvement spans the Aalborg Robotics 10-year seminar and special sessions at the Euromicro DSD conference. Media features include TV 2 News and 2200 News (2025) on drone-based power line maintenance.

Nicolaj Haarhøj Malleمشاهده پروفایل

استادیار

• Aerial Robotics
• Unmanned Aerial Vehicles (UAVs)
• Power-line Maintenance and Inspection
• +۷ مورد دیگر

Nicolaj Haarhøj Malle is an Assistant Professor at the University of Southern Denmark’s Institute of Mechanical and Electrical Engineering and a member of the SDU Digital and High-Frequency Electronics group. He earned his PhD in Robotics in November 2023 with a dissertation on autonomous power-line perception and continues as a post-doctoral researcher until July 2025. Education PhD in Robotics, University of Southern Denmark (2020–2023) Post-doctoral Researcher in Aerial Robotics for Power-line Maintenance, University of Southern Denmark (2023–2025) Research Interests Malle’s work lies at the intersection of aerial robotics, power-line engineering, and embedded intelligence. He develops fully autonomous drones capable of landing on live overhead cables to recharge, inspect, and maintain critical infrastructure. His research integrates mm-wave radar sensing , computer vision , FPGA-accelerated perception , and machine learning to achieve robust navigation in GPS-denied, high-voltage environments. He also pioneers open-source hardware-software architectures for rapid prototyping of safety-critical drone swarms. Scientific Awards & Recognition Although no formal awards are listed, Malle’s work has received extensive national press coverage, including features in Information , DR Forskerfesten PhD Cup , and international tech media highlighting his “vampire drone” concept. Grants & Projects EU H2020 Drones4Safety (2020-2023) – PhD student participant EU H2020 Aerial Core (2019-2023) – PhD student participant InnoExplorer AIR-Ops (2023-2024) – Project participant Spin-outs Denmark OnGrid Aerial Systems (2024-2025) – Project participant Laboratories & Collaborations Malle collaborates closely with the SDU UAS Center and conducts experimental flights at dedicated drone test sites. He maintains an international network via visiting research stays (University of Zürich, Oct–Dec 2022) and active IEEE membership.

Ali Sahafiمشاهده پروفایل

استادیار

• Electrical Engineering
• Computer Science
• Biomedical Engineering
• +۴ مورد دیگر

Ali Sahafi is an Assistant Professor at the Institute of Mechanical and Electrical Engineering , University of Southern Denmark, specializing in Digital and High Frequency Electronics . His research bridges Electrical Engineering , Computer Science , and Biomedical Engineering . Research Interests: Sahafi focuses on neural network accelerators , medical imaging for cardiovascular and gastrointestinal diagnostics, and low-power electronics for embedded systems. His work includes applying YOLO-V8 for polyp detection in colonoscopy and coronary segmentation in angiography, alongside FPGA-based solutions for wireless capsule endoscopy. Project Involvement: He contributed to the EU H2020 TeamPlay project (2018–2020), optimizing time, energy, and security in cyber-physical systems. His lab, Digital and High Frequency Electronics , drives innovations in high-frequency circuits and embedded AI.

Giulio Bianchi Piccininiمشاهده پروفایل

دانشیار

• Road Safety
• Human Factors in Transportation
• Traffic Psychology
• +۳ مورد دیگر

Giulio Bianchi Piccinini is an Associate Professor at Aalborg University’s Department of Construction, Urban and Environmental Engineering, leading the research group Data Analysis and Human Factors in Traffic . His career spans academia and industry, including nine years at Chalmers University of Technology’s Crash Analysis and Prevention group and prior automotive industry experience in Italy. Education : PhD in Transportation Systems (University of Porto, 2019); Master’s in Automotive Engineering (Polytechnic University of Turin, 2014); Bachelor’s (2007). Giulio’s research centers on road safety , analyzing accident mechanisms involving drivers, cyclists, and pedestrians. His work combines expert assessment and naturalistic data (video, kinematic variables) with theoretical foundations in engineering , cognitive science , and human factors . Recent projects include Safe e-PMvs (electric personal mobility safety) and Computer Vision for Cycling Safety . His articles highlight trends in driver-cyclist interactions , autonomous vehicle safety , and behavioral adaptation to driver assistance systems. Awards include the 2016 Best Presentation Award and 2007 Best Italian Master’s Thesis in Automotive Engineering . Teaching : Supervises undergraduate and graduate students in Civil Engineering and Roads & Traffic Engineering; developing a new Master’s program in Sustainable Road Transportation. Leadership : Served on editorial boards of Journal of Safety Research and European Transport Research Review ; former head of Chalmers’ Human Behaviour competence network.

Martin Veitمشاهده پروفایل

پژوهشگر

• Building Energy Performance
• District Heating Systems
• Full-Scale Building Element Testing
• +۵ مورد دیگر

Martin Veit is a Research Assistant at Aalborg University's Department of Construction, Urban and Environmental Engineering within the Faculty of Engineering and Science. He is affiliated with The Architectural Engineering Section and the Research Group for Energy in Buildings. His work focuses on building energy performance, district heating systems, and full-scale building element testing. Veit's research interests center around energy performance engineering (95%), full-scale building testing (69%), district heating systems (69%), and building system engineering (49%). His work integrates experimental investigations with computational methods to analyze and optimize building energy use. He has developed expertise in heat meter data analysis, building performance simulation tools like BSim, and database architectures for energy research. His recent publications demonstrate a strong focus on building energy data, with significant contributions to datasets of smart heat and water meter data, operational building data for office rooms, and comparative studies of simulation tools. His work often involves collaboration with researchers across the Department of the Built Environment. Best Poster - Graduation Ceremony 2022, Department of the Built Environment Veit has been actively involved in two major research projects: 'Experimental investigations on the thermal performance of full-scale building elements' (2022-2024), where he contributed to full-scale testing and thermal performance analysis, and 'PRELUDE: Prescient building Operation utilizing Real Time data for Energy Dynamic Optimization' (2020-2024), focusing on heat meter data and energy performance optimization in district heating systems.

Malcolm McGuganمشاهده پروفایل

پژوهشگر

• Structural Health Monitoring
• Acoustic Emission
• Wind Turbine Engineering
• +۳ مورد دیگر

Malcolm McGugan serves as Chief Development Engineer at DTU Wind Energy's Department of Wind and Energy Systems, specializing in Structural Health Monitoring (SHM) for composite structures with emphasis on wind turbine blade integrity. His role encompasses coordination of national and European mechanical testing programs, project management, and supervision of multiple PhD candidates within DTU's research ecosystem. His research expertise centers on acoustic emission and acoustoultrasonics for non-destructive evaluation of large-scale structures including wind turbine blades, ship hulls, and aerospace components. McGugan has pioneered methodologies for full-scale structural testing and damage detection in composite materials, with particular focus on delamination growth monitoring and fatigue crack propagation analysis in wind energy applications. His technical profile integrates polymer composite materials science with advanced sensor technologies and data analytics. Recent publication trends reveal a strategic shift toward AI-driven SHM solutions, combining computer vision with drone-based inspection systems and advanced signal processing techniques for operational wind turbine assessment. His work consistently bridges fundamental material science with industrial-scale validation through full-scale testing protocols. McGugan actively supervises doctoral research including Sheiati's AI-based blade identification project (2022-2025) and Fremmelev's damage simulation work (2019-2023), while managing the AINDT research initiative focused on AI-enhanced non-destructive testing for wind turbine maintenance optimization. His grant portfolio spans European collaborative projects and national Danish research funding mechanisms. As a core member of DTU's Wind Energy Materials and Components Division within the Structural Virtual Testing and Digitalization group, he contributes to developing digital twin frameworks for predictive maintenance of wind turbine components through virtual testing methodologies.

Ebba Dellwikمشاهده پروفایل

پژوهشگر

• Wind Energy
• Meteorology
• Remote Sensing
• +۵ مورد دیگر

Ebba Dellwik is a Senior Researcher at the Department of Wind and Energy Systems, Technical University of Denmark (DTU), specializing in meteorology and remote sensing within the Wind Energy Systems Division. Her work focuses on understanding wind flow patterns, particularly in forested environments and around wind turbines, contributing significantly to wind energy research and development in Denmark and internationally. Dr. Dellwik's research expertise spans multiple critical areas in wind energy and atmospheric science. Her primary interests include: Forest meteorology and wind flow modeling in complex terrain Wind turbine aerodynamics and performance optimization Remote sensing applications using LiDAR and sodar technologies Tree-wind interactions and their implications for wind resource assessment Atmospheric boundary layer dynamics in forested landscapes Her recent publications reveal a strong focus on integrating advanced measurement techniques with computational modeling. Dellwik has pioneered methods for using point cloud data to create digital tree twins, improving our understanding of wind flow through forests. She has also made significant contributions to understanding rain erosion on wind turbine blades and developing more accurate wind resource assessment methods in complex terrain. Dr. Dellwik actively supervises PhD students and participates in numerous research projects. Current projects include: Wind Farm Modeling for Enhanced Performance (2024-2027) Dispersion and consequences of releases to the atmosphere in the urban environment (2023-2026) AIRE: Advanced study of the atmospheric flow Integrating REal climate conditions (2023-2026) Advanced numerical modeling of the interaction between trees and near-surface winds (2022-2025) Her research group utilizes state-of-the-art equipment including multiple WindScanners (coherent Doppler lidars) and conducts field measurements at DTU's test site in Høvsøre and the Østerild National Test Centre for Large Wind Turbines.

Jie Caiمشاهده پروفایل

استادیار

• Structural Engineering
• Pipeline Mechanics
• Maritime Engineering
• +۴ مورد دیگر

Jie Cai is an Assistant Professor at the Department of Technology and Innovation, University of Southern Denmark, specializing in structural engineering, maritime operations, and data science. His research bridges computational methods with marine and pipeline mechanics. Key research areas include structural stability, residual strength analysis, lateral buckling, and data-driven maritime systems Recent work focuses on medical image segmentation (2025) and burst strength prediction for corroded pipelines (2025) Active in digital twin development for vessel operations and engine monitoring He has contributed to journals like Computers and Electrical Engineering , Ocean Engineering , and Journal of Marine Science and Application , with expertise in finite element analysis and anomaly detection. Jie Cai serves as a peer reviewer for journals including the Journal of Offshore Mechanics and Arctic Engineering and Energies , and teaches courses in data science, programming, and IoT applications at the master's and bachelor's levels.

Esmaeil Nadimiمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Data Science
• +۵ مورد دیگر

Esmaeil Nadimi is a Professor and Head of Unit at The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, where he leads the Applied AI and Data Science research unit. He holds multiple concurrent positions including Visiting Professor at Harvard University, Chair of Data Analytics at SDU eScience Center, and research roles with Innovationsfonden and Swiss National Science Foundation (SNSF) in Medicine & Biology and Health & Well-being domains. His educational background includes a Ph.D. in Electrical and Computer Engineering from Aalborg University (2008) and an M.Sc. in Electrical Engineering (Control Theory) from Sharif University of Technology (2004). Research focuses on foundational AI methodologies including Physics-Infused Learning, Meta & Transfer Learning, with applied research in healthcare (medical imaging, cancer detection, diabetic neuropathy), energy systems, and optical technologies. Core expertise spans machine learning, computer vision, statistical modeling, and medical AI systems development. Publications demonstrate strong emphasis on AI applications in medical diagnostics, particularly capsule endoscopy, cervical/colorectal cancer detection, and diabetic complication screening. Recent work increasingly addresses explainable AI frameworks and practical implementation pathways for clinical adoption. Leadership includes supervision of industrial PhD/postdoc programs and development of academic courses in AI/Data Science. Current grants involve Innovationsfonden and SNSF-funded projects. Leads multiple research teams focused on medical AI systems at SDU Applied AI and Data Science unit.

• Artificial Intelligence
• Medical Robotics
• Embedded Systems
• +۵ مورد دیگر

Jan-Matthias Braun is an Associate Professor at the Maersk Mc-Kinney Moller Institute, University of Southern Denmark, specializing in Applied AI and Data Science. His research bridges artificial intelligence, robotics, and medical device engineering. Current projects focus on explainable AI integration in colon capsule endoscopy Development of real-time FPGA-based systems for colorectal diagnostics Biomechanical modeling for adaptive orthotic devices His work emphasizes cross-disciplinary applications of machine learning in healthcare, particularly for gastrointestinal disease detection and assistive robotics. Publications demonstrate expertise in deep neural networks, hardware acceleration, and smart environment control systems. Teaching responsibilities include: Advanced cybersecurity courses Deep learning applications in epilepsy detection Mentorship in capsule endoscopy image analysis

• Robotics
• Swarm Robotics
• Multi-robot Systems
• +۵ مورد دیگر

Anders Lyhne Christensen is a Professor at the Maersk Mc-Kinney Moller Institute, University of Southern Denmark (SDU), where he serves as a Professor at both the SDU Drone Center and SDU Climate Cluster. His academic work focuses on robotics, swarm intelligence, and drone technology applications. His research interests center around swarm robotics and multi-robot systems, with particular emphasis on drone swarm applications for wildlife monitoring, search and rescue operations, and environmental conservation. His work bridges computer science, robotics engineering, and practical field applications, developing solutions that address real-world challenges through innovative swarm intelligence approaches. Professor Christensen's recent publications reveal a strong focus on practical drone swarm implementations, with research spanning wildlife monitoring systems, search and rescue operations, communication protocols for UAV swarms, and efficient pathfinding algorithms for multi-agent systems. His work demonstrates a consistent trajectory toward developing robust, field-deployable swarm robotics solutions. He actively contributes to major research projects including WildDrone (2023-2026), CloudBrain (2020-2023), and SpikeDrone (2018-2021), focusing on drone swarm applications for environmental monitoring and complex task execution. His teaching portfolio includes courses on Bio-inspired Autonomous Systems, Reinforcement Learning for Robotics, and introductions to robotics, computer vision, and artificial intelligence.

• Remote sensing
• Environmental science
• Climate change impacts
• +۷ مورد دیگر

Xiaoye Tong is an Assistant Professor in the Department of Geosciences and Natural Resource Management at the University of Copenhagen's Faculty of Science. Their research focuses on applying remote sensing and geospatial technologies to address critical environmental and agricultural challenges, with expertise spanning multiple continents and environmental systems. Dr. Tong's research interests include: Remote sensing applications for environmental monitoring Climate change impacts on agricultural systems Land cover and land use change analysis at high resolutions Forest and agroforestry monitoring using satellite technologies Greenhouse gas emissions from agricultural landscapes Climate extremes and soil exposure dynamics Through innovative integration of satellite data and machine learning techniques, Dr. Tong's work provides critical insights into global environmental changes, with particular focus on agricultural systems under climate stress. Their research portfolio demonstrates methodological sophistication in handling large geospatial datasets and translating technical findings into actionable environmental knowledge. Dr. Tong's publications have appeared in high-impact journals including Nature Communications, Nature Food, Nature Sustainability, and Earth System Science Data, with significant media and policy attention. The research on greenhouse cultivation received coverage from 11 news outlets and was shared by 416 X (Twitter) users, while the work on farmland tree decline in India was referenced in policy sources and covered by 8 news outlets. Dr. Tong maintains an active research profile with 33 research outputs, including collaborations with prominent researchers in the field such as Rasmus Fensholt and Martin Brandt. Their December 2021 presentation on agroforestry systems in Peru demonstrates their international research engagement and interdisciplinary approach to environmental challenges.

Anders Dalsgaardمشاهده پروفایل

استاد

• One Health
• Antimicrobial Resistance
• Zoonotic Diseases
• +۵ مورد دیگر

Professor Anders Dalsgaard is a faculty member at the University of Copenhagen's Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences. With over 30 years of experience, he specializes in Veterinary Public Health with a focus on One Health approaches to infectious diseases. His research examines pathogen transmission dynamics, antimicrobial resistance, and zoonotic disease ecology, particularly in low- and middle-income countries. Education includes: Doctor of Veterinary Medicine (DVM), Royal Veterinary and Agricultural University (1991) Ph.D. in Microbiology and Epidemiology, Royal Veterinary and Agricultural University (1995) Research interests center on: Transmission pathways of zoonotic pathogens at human-animal-environment interfaces Antimicrobial resistance evolution and dissemination in agricultural/aquatic systems Environmental persistence of enteric pathogens in water and waste systems Capacity building for food safety systems in developing regions Climate impacts on infectious disease epidemiology Publication analysis reveals consistent focus on antimicrobial resistance mechanisms, molecular epidemiology of zoonotic pathogens, and environmental health interventions. Recent work shows increased attention to aquaculture health systems and pandemic-related biocontainment strategies. Supervision includes mentorship of >20 PhD students, primarily from LMICs, through large-scale capacity building projects in Southeast Asia and Africa. Leads international research consortia including the I-CRECT initiative for AMR mitigation.

• Cardiology
• Cardiac Genetics
• Hypertrophic Cardiomyopathy
• +۵ مورد دیگر

Alex Hørby Christensen is a Clinical Associate Professor at the Department of Clinical Medicine, University of Copenhagen, with a dual appointment at the Capital Region of Denmark. His clinical work is focused on Internal Medicine: Cardiology at Herlev and Gentofte Hospital. He has a substantial research output with approximately 100 publications, primarily in the field of cardiology with a strong emphasis on genetic aspects of cardiac conditions, hypertrophic cardiomyopathy, and sudden cardiac death. Dr. Christensen's research interests span several key areas in cardiology: Genetic basis of cardiac conditions including arrhythmogenic right ventricular cardiomyopathy Hypertrophic cardiomyopathy and its management Sudden cardiac death and family screening protocols Cardiac amyloidosis diagnosis and management Electrocardiographic findings in various cardiac conditions Genetic screening for inherited cardiac conditions His recent publications demonstrate a strong focus on the intersection of genetics and cardiology, with numerous studies examining the genetic basis of cardiac conditions, diagnostic approaches for cardiac amyloidosis, and management strategies for hypertrophic cardiomyopathy. Dr. Christensen frequently collaborates with researchers across multiple institutions, particularly within Denmark, and his work often involves large-scale clinical studies and genetic analyses. Dr. Christensen has received significant attention for his research, with several publications garnering substantial citations and social media mentions. His work on hypertrophic cardiomyopathy, particularly the randomized clinical trial on exercise training, has been particularly influential with 10 Scopus citations. As a clinician-researcher, Dr. Christensen bridges the gap between clinical practice and academic research, contributing to both the understanding of cardiac conditions and the development of improved diagnostic and treatment approaches. His dual appointment allows him to directly translate research findings into clinical practice at Herlev and Gentofte Hospital.

Kristin Veelمشاهده پروفایل

استاد

• Digital Aesthetics
• Surveillance Studies
• Technology and Culture
• +۴ مورد دیگر

Kristin Veel is a Professor in the Department of Arts and Cultural Studies at the University of Copenhagen's Faculty of Humanities, specializing in digital technologies' impact on cultural imagination and history. She co-leads the INTERSECT research hub and directs projects on smart home abuse, bio-machines, and human-AI collaboration. Her research examines data-tracking's invisibilities across film, art, literature, and design using aesthetic theory and practice-based methodologies. Current work focuses on intersectional approaches to surveillance, urban equity, and redefining machine 'life' through interdisciplinary collaboration. Recent publications (2024-2025) analyze machine vision ethics, archival infrastructures, and domestic technology vulnerabilities, emphasizing critical perspectives on AI and social justice. Scientific Awards: Lars Arge Award for Young Scientists University of Copenhagen Faculty of Humanities Research Award Honorary Research Fellowship at Surveillance Studies Centre, Queen’s University Grants and Projects: Principal Investigator: Smart technology abuse study with LOKK (Queen Mary's Center) Co-PI: Aesthetics of Bio-machines project (Velux Foundation) Co-PI: Human-AI Collaboration project (Independent Research Fund Denmark) Research Hub: Co-leads INTERSECT for interdisciplinary exploration of urbanism, landscapes, and social justice across arts, humanities, and social sciences.