جست‌وجوی استاد و پژوهشگر

Bradley Chaseمشاهده پروفایل

دانشیار

• Industrial Ergonomics
• Lean Manufacturing
• Six Sigma
• +۵ مورد دیگر

Bradley Chase serves as Associate Professor in the Department of Industrial and Systems Engineering at the University of San Diego, directing the Ergonomics Laboratory while maintaining a secondary appointment as Research Scientist at the Naval Health Research Center. A Certified Professional Ergonomist (CPE) with dual expertise in industrial engineering and public health management, his work bridges academic research with real-world industrial applications. His educational foundation includes: PhD, University of Louisville MSIE, University of Louisville BA, University of Louisville MPH in Public Health Management Dr. Chase's research centers on Industrial Ergonomics, Lean/Six Sigma methodologies, and cognitive workload assessment under environmental stressors. His investigations span virtual reality effects, EEG-based speech recognition, thermal stress impacts, and worker safety optimization, consistently translating findings into process improvement frameworks for complex industrial systems. Analysis of his 30+ publications reveals an evolution from foundational thermal stress/dual-task studies toward contemporary applications in sustainable engineering education and advanced manufacturing. His work demonstrates persistent focus on human-system integration, increasingly incorporating sustainability principles and neuroergonomic measurement techniques. Securing continuous funding from the Army Research Institute, DARPA, U.S. Navy, and American Society for Engineering Education, Dr. Chase maintains active industry partnerships with General Atomics, ViaSat, Dexcom, SAIC, and major healthcare systems including Scripps and Sharp. His consulting portfolio emphasizes process performance optimization and worker safety enhancement across defense and medical sectors. The Ergonomics Laboratory under his direction functions as a nexus for human factors innovation, conducting DARPA-funded research on brain-state estimation while developing industry-ready solutions for posture stability, attention allocation, and virtual environment safety.

• Signal Processing
• Wavelet Transforms
• Digital Watermarking
• +۴ مورد دیگر

Prof. Dr. Corina Naforniță is a Professor at the Politehnica University of Timișoara, Faculty of Electronics and Telecommunications. She holds a PhD in signal processing (awarded Magna Cum Laude in 2008) and has led multiple international research projects. Her work focuses on wavelet transforms, image denoising, and satellite navigation systems. Education: PhD in Signal Processing (Politehnica University of Timișoara, 2008), Master's and Bachelor's degrees in Electronics and Telecommunications. Research Interests: Wavelet-based signal and image processing Hurst exponent estimation and applications Satellite navigation systems (EGNOS) Radar signal processing and object tracking Watermarking in transform domains Publications: Over 30 peer-reviewed articles, including key works on dual-tree complex wavelets and SAR image denoising. Recent trends emphasize radar tracking and EGNOS network development. Awards: Senior Member of IEEE (2020), Magna Cum Laude doctorate (2008). Grants: Director of ESA-funded projects (e.g., EGNOS monitoring network, budget €150,000). Collaborates with institutions like University College London and Thales Alenia. Labs: Co-founder of the Intelligent Signal Processing Laboratory (2010).

Carrie Earthmanمشاهده پروفایل

استاد

• Body Composition
• Energy Metabolism
• Nutrition Assessment
• +۲ مورد دیگر

Carrie Earthman is a Professor in the Department of Health Behavior & Nutrition Sciences at the University of Delaware's College of Health Sciences. Her research focuses on body composition analysis, energy metabolism, and nutrition assessment in acute and chronic illness contexts. She earned a PhD from the University of Arizona in 1999 and leads the Body Composition and Metabolism (BCM) Lab as principal investigator, while co-directing the Energy Balance and Nutrition Lab (EBNL) . Her scholarly work emphasizes clinical applications of bioelectrical impedance analysis (BIA), dual-energy X-ray absorptiometry (DXA), and ultrasound for body composition measurement in critical care, pediatrics, and post-transplant settings. Recent publications address methodological standards in BIA, malnutrition diagnosis in ICU patients, and pediatric body composition challenges. Key research trends include: (1) validation of body composition technologies against gold standards; (2) malnutrition epidemiology across care settings; (3) muscle mass assessment in critically ill populations; (4) pediatric nutritional diagnostics; and (5) functional status tools for hospitalized adults. Affiliations: Principal Investigator, Body Composition and Metabolism Lab Co-Lab Director, Energy Balance and Nutrition Lab

• Quantum Information Science
• Topological Quantum Systems
• Floquet Engineering
• +۳ مورد دیگر

Frederik Nathan is an Assistant Professor at the Quantum Information Science & Technology department of the Niels Bohr Institute , University of Copenhagen. His research focuses on topological quantum systems, Floquet engineering, and dissipative quantum technologies. He explores the interface between quantum optics, condensed matter physics, and quantum computing through experimental and theoretical approaches. Key topics include GKP qubit stabilization, topological frequency conversion in graphene and Weyl semimetals, and non-equilibrium quantum dynamics. His work bridges fundamental quantum phenomena with practical applications in quantum information processing. Notable contributions include studies on self-correcting quantum states in superconducting circuits and quantized transport in Floquet topological insulators. Nathan collaborates actively in cross-disciplinary projects involving quantum materials and photonics. Publications emphasize novel methodologies for preparing and maintaining quantum states under controlled dissipation, with applications to error-corrected qubits and energy pumps. His research also advances theoretical frameworks for understanding quantum speed limits and topological bounds in driven systems.

Jakob Lassمشاهده پروفایل

پژوهشگر

• Condensed Matter Physics
• Neutron Scattering
• Magnetic Materials
• +۵ مورد دیگر

Jakob Lass is a Researcher at the Laboratory for Neutron Scattering and Imaging, Paul Scherrer Institute (PSI) in Switzerland, specializing in advanced neutron scattering techniques for quantum materials research. His work bridges experimental physics and computational tool development to probe complex magnetic phenomena. His research focuses on condensed matter physics with emphasis on quantum magnetism, magnetic materials, and topological spin textures. Key areas include skyrmion phases in centrosymmetric metals, bond-dependent interactions in frustrated magnets, heavy fermion systems like UTe 2 , and quantum critical phenomena. He develops critical software infrastructure such as DMCpy for neutron diffraction analysis and AMBER for spectrometer background estimation. Analysis of his 2023-2025 publications reveals a dual focus: methodological innovation in neutron instrumentation (e.g., BIFROST spectrometer development, background reduction techniques) and fundamental discoveries in quantum materials (e.g., magnon band splitting in altermagnets, spin-flop transitions, and skyrmion formation mechanisms). His work frequently employs honeycomb lattice antiferromagnets and centrosymmetric metals as model systems. Dr. Lass actively contributes to PSI's Laboratory for Neutron Scattering and Imaging, collaborating on international projects at facilities like the European Spallation Source. His team develops cutting-edge neutron spectrometry techniques while investigating exotic states of matter under extreme conditions including high magnetic fields and low temperatures.

• Power Electronics
• Electric Vehicle Charging Systems
• Magnetic Components Design
• +۲ مورد دیگر

Hans Wouters is a Researcher at KU Leuven, based at the EnergyVille research campus in Thor Park, Genk, Belgium. His work focuses on advancing power electronics for electric vehicle charging systems through innovative magnetic component design and machine learning applications. Affiliated with KU Leuven's EnergyVille institute—a collaboration between KU Leuven, VITO, imec, and UHasselt—he operates within the sustainable energy research ecosystem in Genk. Wouters' research spans critical areas in modern power electronics: Integrated magnetics for ultra-compact power converters Novel transformer structures like the 3D Matrix Transformer combining interleaved windings and inductor integration Machine learning techniques (reinforcement learning, deep neural networks) for magnetic design optimization and loss estimation Bidirectional onboard charger topologies for electric vehicles Orthogonal biasing methods for controllable magnetic devices His work consistently targets efficiency, power density, and cost reduction in automotive power conversion systems. Analysis of his 15 most recent publications reveals two dominant trends: (1) The integration of machine learning with traditional magnetic design, exemplified by reinforcement learning for real-time inductor optimization and deep neural networks for core loss prediction beyond 1MHz; and (2) The development of mechanically integrated magnetic solutions like PCB-wound transformers and the 3D Matrix structure that consolidate multiple functions into single magnetic components. These approaches directly address industry demands for smaller, lighter, and more efficient EV charging systems. Scientific awards: No awards or fellowships were documented in the provided materials. Advising and grants: No information regarding student supervision, research grants, or funding sources was available in the source texts. His collaborative publications suggest team-based research at EnergyVille but lack specific grant acknowledgments. Labs and teams: Wouters operates within EnergyVille's power electronics research group at Thor Park 8310 (room 02.23A), Genk. This facility hosts KU Leuven's electric vehicle charging research, featuring specialized equipment for magnetic characterization (e.g., MagNet database systems), PCB transformer prototyping, and high-power EV charger validation. His work appears integrated with teams developing wide-bandgap semiconductor applications and automotive powertrain integration.

• Bowel cancer
• Epidemiology
• Celiac disease
• +۵ مورد دیگر

Louise Emilsson is an Associate Professor at the University of Oslo's Department of General Medicine. She holds dual roles as a specialist in general medicine and an academic researcher, bridging clinical practice and methodological rigor. Education: Ph.D. in Medicine, Örebro University (2013) M.D. from Karolinska Institute (2008) Research Interests: Her work focuses on bowel cancer epidemiology, causal inference methods, and registry-based analyses. She specializes in using large-scale data from Swedish and Nordic healthcare registries to investigate cancer screening efficacy, risk factors for gastrointestinal malignancies, and outcomes of chronic conditions like celiac disease. Publications Trends: Recent articles emphasize pandemic-related mortality patterns, colorectal cancer screening impacts, and the epidemiology of IgA nephropathy. Methodologically, her work prioritizes causal inference and target trial emulation to address biases in observational studies. Awards: Best citation award at the 22nd WONCA meeting (2018) for JAMA Oncology paper on statin treatment biases Best article in general medicine for the same paper Grants & Projects: Leads projects like EPoS (European Polyp Surveillance), NordICC (Colorectal Cancer Initiative), and I-SCAN (Inflammatory Bowel Disease-Cancer Link Study). Collaborates with institutions in Norway, Sweden, and the USA. Labs/Teams: Part of the Clinical General Practice Research (Allmix) group and General Practice Research Unit at UiO, focusing on translating epidemiological findings into clinical practice.

Sajeeva Abeywardenaمشاهده پروفایل

مدرس

• Robotics
• Biomechanics
• Human-Robot Interaction
• +۳ مورد دیگر

Sajeeva Abeywardena is a Lecturer in Robotics at the University of Surrey, affiliated with the School of Mechanical Engineering Sciences and the Centre for Biomedical Engineering. He holds a PhD from Monash University and dual bachelor's degrees from the University of Adelaide. His research focuses on human-robot interaction, particularly in developing wearable robotic systems like supernumerary robotic limbs (SRLs) to enhance human balance and ergonomics. He has contributed to EU Horizon 2020 projects and the EPSRC Automatic Posture and Balance Support project, investigating SRLs' biomechanical impact and control algorithms. His work bridges robotics, biomechanics, and surgical instrument design, with applications in industrial safety and healthcare. Key areas include balance augmentation, haptics, and mechanism theory. Abeywardena has authored numerous publications on SRLs' mechanical characterization, human postural stability modeling, and surgical robotics. His research emphasizes minimizing biomechanical stress while maximizing robotic assistance. He has received awards for peer review excellence from ASME and Mechanism and Machine Theory. His lab work centers on wearable systems that symbiotically integrate with human motion, aiming to reduce workplace injuries and improve surgical precision.

• Ecohydrology
• Water Resource Management
• Climate Change Adaptation
• +۳ مورد دیگر

Dr. Pınar Pamukçu Albers is a Researcher at the University of Bonn's Faculty of Geography, Department of Physical Geography. She is affiliated with the GIUB Institute and the RG Evers research group. Her work focuses on ecohydrology, water resource management, climate change adaptation, and urban resilience planning. Education: PhD in Landscape Architecture (Istanbul University, 2012-2015), MSc in Landscape Architecture (Istanbul University, 2008-2011), dual bachelor's degrees in Business Administration (Anadolu University) and Landscape Architecture (Trakya University). Research interests include integrating hydrological functions into forest management, ecosystem service quantification, flood risk modeling, and green infrastructure design for urban resilience. She has led projects funded by TÜBİTAK and UNDP, developing methodologies for watershed planning and climate adaptation in Turkey. Her recent publications address soil organic carbon dynamics, national ecosystem services reviews, and urban flood resilience strategies. She serves as a UNFCCC Review Expert for LULUCF reporting and peer reviewer for journals like Landscape Ecology and Ecological Indicators. Labs/Teams: Active in the DHG wÖSL AK working group on water-related ecosystem services and guest editor for the journal Land . Her work bridges academic research with policy implementation in sustainable resource management.

Adib Mehrabiمشاهده پروفایل

مدرس

• Audio Signal Processing
• Acoustic Engineering
• Machine Listening
• +۴ مورد دیگر

Adib Mehrabi is an Honorary Lecturer in the Department of Linguistics at Queen Mary University of London and Principal Audio Researcher at Sonos Inc. His research focuses on audio signal processing, vocal imitation systems, and acoustic environment modeling. Mehrabi holds a PhD from Queen Mary University of London and has contributed extensively to spatial audio technologies, room acoustics analysis, and binaural rendering systems. His work bridges theoretical linguistics with applied audio engineering, including projects on vocal mimicry for content retrieval, multichannel audio calibration, and real-time head-tracking systems. Mehrabi's research emphasizes practical applications in smart home audio systems and perceptual audio quality assessment. Key technical contributions include room-informed binaural rendering algorithms, self-calibrating playback device systems, and phase-based acoustic parameter estimation. His publications demonstrate interdisciplinary expertise spanning signal processing, machine learning, and sociolinguistic studies of bilingual speech patterns. Advising and grants: No specific advising roles or grant information provided in source texts. Current affiliations include dual roles at Queen Mary and Sonos Inc., indicating industry-academia collaboration in audio innovation. Labs/Teams: Affiliated with Sonos' research division and Queen Mary's Linguistics department research groups focused on experimental phonetics and computational linguistics.

• Thermal Management
• Electrical Machines
• Electromagnetic Analysis
• +۳ مورد دیگر

Mr. Dawei Liang is a Researcher at the University of Sheffield's School of Electrical and Electronic Engineering, specializing in thermal management and parameter estimation of permanent magnet synchronous machines (PMSMs). His work focuses on advancing thermal modeling techniques, optimizing cooling strategies, and improving sensorless control algorithms for high-performance electrical machines. Research interests include PMSM thermal behavior under fault conditions, high-fidelity lumped-parameter thermal models, and the integration of electromagnetic and thermal analysis. He explores applications in electric vehicles (EVs), renewable energy systems, and high-speed motor designs. Key contributions include real-time temperature prediction methods and parameter estimation techniques that enhance machine reliability and energy efficiency. His studies often compare different machine configurations (e.g., single/dual rotors, fractional-slot windings) and cooling techniques to achieve optimal thermal performance.

Itay Henمشاهده پروفایل

دانشیار مدعو

• Quantum Computing
• Computational Physics
• Quantum Simulation
• +۲ مورد دیگر

Itay Hen is an Adjunct Associate Professor of Physics and Astronomy at the University of Southern California and Principal Scientist at the Information Sciences Institute. His dual research focus encompasses quantum computing (gate-based quantum simulation and quantum annealers) and computational physics (quantum many-body systems). Education includes a Ph.D. in Physics from Tel-Aviv University (2009). Recent publications develop quantum Monte Carlo methods, quantum simulation algorithms, and analyze limitations of quantum annealing hardware. Research bridges theoretical quantum information and practical algorithm development for near-term quantum devices, with emphasis on solving strongly correlated quantum systems and optimizing quantum computational approaches.

Michael Hörnquistمشاهده پروفایل

استاد

• Systems Biology
• Gene Regulatory Networks
• Computational Biology
• +۴ مورد دیگر

Michael Hörnquist serves as Professor and Deputy Head of the Department of Science and Technology (ITN) at Linköping University, concurrently leading the Physics, Electronics and Mathematics (FEM) Division. His responsibilities encompass undergraduate education oversight and management of research activities within FEM, which focuses on communication electronics, mathematics, engineering didactics, physical electronics, and nanotechnology. Hörnquist's research bridges systems biology and computational physics, specializing in gene regulatory network analysis through machine learning techniques including Elastic Net and LASSO regression. His work extends to nonlinear dynamics in aperiodic electronic structures, reflecting FEM's interdisciplinary approach to physics, electronics, and mathematics. This dual focus enables innovative cross-domain applications in biological modeling and electronic systems. Publication trends since 2003 reveal consistent contributions to systems biology, particularly in reverse-engineering biological networks through integrated data approaches. His 2010 DREAM3 challenge-winning work on gene expression prediction exemplifies practical applications of computational methods, while later research (2016) connects molecular oncology with network dynamics. This trajectory demonstrates sustained innovation in translating theoretical models to biological insights across diverse systems. As an academic leader, Hörnquist emphasizes learning as the university's core mission: 'Learning is the essence of what we do as a university, whether it involves teaching, research, or collaboration. It is learning that allows us to grow and mature as individuals.' He actively fosters this philosophy through mentorship and institutional leadership.

• Computer Science
• Machine Learning
• Signal Processing
• +۳ مورد دیگر

Marco J.G. Bekooij is a Full Professor holding dual appointments in Computer Architecture Design and Test for Embedded Systems and the Digital Society Institute . His research focuses on advancing embedded systems, radar technology, neural networks, and signal processing. Key areas include automotive radar object detection, sensor fusion, and energy-efficient decoding algorithms. His work contributes to UN Sustainable Development Goals through innovations in smart technologies. Recent research trends emphasize optimizing algorithms for automotive applications and integrating neural networks with traditional signal processing techniques. He has supervised 11 academic works, fostering next-generation expertise in embedded systems and radar engineering. Collaborations span international conferences such as IEEE Radar and Euromicro DSD, reflecting his global academic engagement. While no specific grants or awards are listed, his extensive publication record (94+ outputs) highlights sustained research excellence.

Anton Vrielingمشاهده پروفایل

دانشیار

• Earth Observation and Remote Sensing
• Vegetation Phenology
• Agricultural Drought Monitoring
• +۳ مورد دیگر

Anton Vrieling is an Associate Professor at the University of Twente, holding dual affiliations in the Department of Natural Resources and the Digital Society Institute within the Faculty of Geo-information Science and Earth Observation . His research focuses on applying satellite image time series to monitor dynamic natural resources, particularly agricultural and natural vegetation cover changes. He specializes in vegetation phenology, drought monitoring, and the use of advanced satellite sensors like Sentinel-2 for fine-scale environmental analysis. Before joining the University of Twente in 2009, he earned MSc degrees in Tropical Land Use and Geo-information Science (2001) and a PhD in soil erosion studies (2007) from Wageningen University, followed by postdoctoral work at the European Commission’s Joint Research Centre (2007–2009). Research interests include climate change impacts on ecosystems, livestock-environment interactions in rangelands, and the development of index-based insurance tools using satellite data. Notable projects include the NL-CGIAR Senior Expert Programme (2019–2029), addressing climate resilience in Kenyan pastoral systems through Earth observation technologies. His work contributes to UN Sustainable Development Goals related to climate action (SDG 13) and responsible consumption (SDG 12). Key achievements include pioneering methods for vegetation seasonality analysis and drought risk assessment. Awards include the Remote Sensing Letters Award (2018) and a Research Award for Best Scientific Paper (2015). Current projects focus on integrating satellite-derived insights into financial risk assessment (ESG frameworks), improving rangeland monitoring through LoRaWAN sensors, and evaluating ecological restoration efforts using long-term satellite datasets. His research bridges academic innovation with practical applications in sustainable resource management.