جست‌وجوی استاد و پژوهشگر

Nazarena Celaمشاهده پروفایل

پژوهشگر ارشد

• Food Science and Technology
• Perception and Quality
• Physicochemical and Sensory Characterization
• +۳ مورد دیگر

Nazarena Cela is a Research Fellow at the University of Gastronomic Sciences (UNISG) in Pollenzo, Italy. She is affiliated with the project "NODES-Nord Ovest Digitale e Sostenibile," focusing on enhancing the competitiveness of local agri-food systems through digitalization, circularity, and sustainability. Her research integrates food science, sensory analysis, and product development. Education: She holds a Master's degree in Food Science and Technology from the University of Basilicata (2019), with a thesis on coffee sensory evaluation. She is enrolled in a PhD program in Agricultural, Forest and Food Sciences at the same institution, specializing in food sciences and engineering. Her doctoral work centered on optimizing gluten-free beer production through microbrewing processes. Research Focus: Her interdisciplinary work bridges perception and quality in food systems. Key areas include physicochemical characterization, sensory evaluation, and sustainable brewing innovations. She explores circular economy applications in winemaking and agroindustrial by-product utilization in craft beer. Publications: Her recent work addresses consumer attitudes toward upcycled foods, gluten-free beer optimization, and coffee quality factors. She frequently publishes in beverages, food chemistry, and sustainability journals. Awards: No scientific awards explicitly listed in provided texts. Advising & Grants: No formal advisees listed. Project participation in NODES indicates involvement in collaborative sustainability initiatives. Labs/Teams: Active within UNISG's interdisciplinary research environment, though specific lab affiliations are not detailed.

Kyung Hwa Shonمشاهده پروفایل

مربی

• Contemporary Art
• Urban Studies
• Interdisciplinary Art
• +۳ مورد دیگر

Kyung Hwa Shon is a cross-disciplinary artist, researcher, and educator affiliated with the Royal College of Art (RCA), School of Arts & Humanities. She holds roles as a Tutor (Research) in the Graduate Diploma Art & Design and a visiting lecturer in MA Painting and MA Sculpture. Her PhD in Painting (2019) from RCA follows an MFA from the School of the Art Institute of Chicago and a BFA from Hong-Ik University. She was a Starr Scholar at the Royal Academy of Arts (2011–2012). Her research explores urban landscapes, perception, and identity through interdisciplinary art practices, blending painting, installation, sound, and digital media. Key themes include subject-object dualism, fluid spatial poetics, and the interplay of absence/presence in urban experiences. She leads international collaborations like 'IN // BETWEEN: Kharkiv and London' (UK/Ukraine Season 2022–23) and 'Re- & De-' (with Onomichi City University, Japan), addressing decentralized pedagogy and post-pandemic cultural dynamics. Notable projects include public art installations for Meta’s London offices and Kharkiv, Ukraine, emphasizing urban rhythms and fractured sensory experiences. Awards include grants from the British Council, Chungnam Arts, and Seoul Foundation. She mentors at Turps Art School and contributes to RCA’s Sites & Situations Research Cluster, focusing on materialist and imaginative dimensions of urban territories.

Trevor Almeidaمشاهده پروفایل

مدرس

• Materials Physics
• Condensed Matter Physics
• Nanotechnology
• +۳ مورد دیگر

Dr. Trevor Almeida is a Lecturer in Materials and Condensed Matter Physics at the University of Glasgow's School of Physics and Astronomy. His research focuses on the synthesis, characterization, and functional properties of nanostructured materials, with particular expertise in transmission electron microscopy (TEM) techniques such as Lorentz microscopy and off-axis electron holography. He investigates magnetic nanostructures, including their magnetization dynamics under thermal, electrical, and chemical stimuli. Almeida's work spans nanomagnetism, skyrmion spin textures, and advanced TEM imaging of magnetic domain configurations. His research interests include developing novel nanomaterials for applications in spintronics, data storage, and energy storage. He has contributed to studies on magnetic vortex states in Fe₂O₃ nanospheres, curved nanomagnet systems, and antiferromagnetic-ferromagnetic phase transitions. His research has been published in high-impact journals like Nano Letters , Physical Review B , and Nature Communications . Almeida collaborates on projects involving electron holography for electromagnetic property mapping and the design of defect-engineered permanent magnets. His work bridges fundamental materials science with applied nanotechnology, emphasizing in-situ and environmental TEM techniques to study dynamic material behaviors.

Filippo Maggioliمشاهده پروفایل

پژوهشگر

• Computer Graphics
• Geometry Processing
• Numerical Simulations
• +۳ مورد دیگر

Filippo Maggioli is a Postdoctoral Researcher at the University of Milano-Bicocca and an Adjunct Professor at Pegaso University. He completed his Ph.D. in Computer Science at Sapienza University of Rome, where he also served as a teaching assistant and postdoctoral researcher. His research focuses on interdisciplinary topics in Computer Graphics, Geometry Processing, and Numerical Simulations, with a strong emphasis on scalable algorithms and real-world applications. He has contributed to projects involving plant wilting simulation, shape correspondence, and procedural texturing. Maggioli advocates for open-source software and has published extensively in top-tier conferences such as ECCV. His teaching roles include courses on Computer Architecture and Networking at Pegaso University. Education: Ph.D. in Computer Science, Sapienza University of Rome (2019–2023) M.Sc. in Computer Science, Sapienza University of Rome (2018–2019) B.Sc. in Computer Science, Sapienza University of Rome (2014–2017) Research Interests: Maggioli’s work bridges computational geometry, numerical methods, and interdisciplinary applications. He explores topics such as functional maps for shape correspondence, physically-based simulation of natural phenomena, and GPU-optimized algorithms. His projects often integrate machine learning and procedural content generation to address challenges in 3D modeling and real-time applications. Awards & Contributions: Maggioli is a proponent of open-source software and has contributed to projects like SBML2Modelica. His research has led to impactful publications in areas like scalable geometry processing and fluid dynamics simulation.

James Andeanمشاهده پروفایل

مدرس ارشد

• Electroacoustic composition
• Acousmatic music
• Sound art
• +۵ مورد دیگر

James Andean is a Senior Lecturer at De Montfort University's Leicester Media School within the Computing, Engineering and Media faculty. His work bridges music composition, sound art, and interdisciplinary performance. He leads the BSc Music Production programme and is affiliated with the Music, Technology and Innovation (MTI) research group. Research Interests Andean focuses on electroacoustic composition, acousmatic music, sound diffusion, improvisation, and sonic narratives. His work explores intersections between sound, motion, and narrative structures across disciplines. Key Contributions His 2023 article ' Group Performance Paradigms in Free Improvisation ' examines collective musical dynamics. Notable outputs include the 2019 CD ' Assemblance(s) ' and the 2015 installation ' Re:****Sitruuna ja meduusa ' which won awards in both sound art and digital arts categories. Awards Recipient of: 1st Prize in Installations category (MADATAC06 Digital Arts Awards, 2015) Creative Coding Award (Lumen Prize, 2014) Multiple honors for compositions like ' Psygeío ' and ' Déchirure ' Professional Engagement Co-founder of the British Electroacoustic Network, he has presented at over 30 international conferences including EMS2015 and the Nordic Musicological Congress. His work appears in journals like Organised Sound and Leonardo Music Journal .

Adriana Rocha Limaمشاهده پروفایل

استادیار

• Atmospheric Physics
• Aerosol Science
• Climate Modeling
• +۳ مورد دیگر

Adriana Rocha Lima is an Assistant Professor in the Department of Physics at the University of Maryland, Baltimore County (UMBC) . She holds a Ph.D. in Atmospheric Physics from UMBC (2015), and M.S./B.S. in Physics from the University of São Paulo (2008/2005). Previously, she served as a Postdoctoral Researcher at NASA Goddard (2015-2019) and Research Assistant Professor at UMBC's Physics Department. Education: Ph.D. Atmospheric Physics, University of Maryland, Baltimore County (2015) M.S. Physics, University of São Paulo (2008) B.S. Physics, University of São Paulo (2005) Research Focus: Her work centers on atmospheric aerosol properties, particularly mineral dust and volcanic ash. Key areas include: Optical properties and radiative effects of atmospheric particles Satellite data analysis and global model evaluation (e.g., NASA GEOS) Climate impacts of aerosol interactions with solar radiation Long-term trends in atmospheric composition and dust emission drivers Key Projects: Leads the Laboratory for Atmospheric Studies and Particle Light Interaction (LASPLI) , analyzing aerosol samples from global dust source regions. Collaborates with NASA on dust cycle modeling and remote sensing applications. Grants & Collaboration: Engaged in NASA-funded initiatives exploring dust emission schemes and aerosol-climate interactions. No explicit student advisees listed in current materials.

Sinisa Todorovicمشاهده پروفایل

استاد

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +۶ مورد دیگر

Sinisa Todorovic is a Professor in the School of Electrical Engineering and Computer Science at Oregon State University (OSU). He holds a Ph.D. (2005) and M.S. (2002) from the University of Florida, and a B.S./M.S. from the University of Belgrade (1994). Before joining OSU, he was a postdoc at the Beckman Institute, University of Illinois, and a software engineer at Siemens (1998–2001). His research focuses on computer vision, machine learning, and AI, particularly semantic/instance segmentation, action segmentation in videos, few-shot learning, weakly-supervised learning, and cross-domain adaptation. He leads projects like fruit orchard segmentation datasets and transformer-based cross-domain semantic segmentation. Key contributions include the Volleyball dataset for group activity analysis, Hough Forest Random Fields for object segmentation, and boundary flow estimation. His work bridges theory and applications, including robotics, medical imaging, and sports video analysis. Todorovic advises over 20 graduate students and collaborates on grants involving AI ethics, explainable systems, and agricultural automation. He is affiliated with OSU's Data Science and Engineering and AI/Robotics research groups.

Maria Benlloch Tinocoمشاهده پروفایل

استادیار

• Food Science and Technology
• Food Engineering
• Non-thermal Processing
• +۴ مورد دیگر

Dr. Maria Benlloch-Tinoco is an Assistant Professor in Food Science at Northumbria University's Department of Applied Sciences. She holds a PhD in Food Engineering from Universitat Politècnica de Valencia (2015) and has expertise in food processing technologies. She leads the BSc Food Science and Nutrition programme and specializes in non-thermal processing for enhancing food functionality. Education: BSc in Food Science and Technology (UPV, 2007) MSc in Food Science and Technology (UPV, 2011) PhD in Food Engineering (UPV, 2015) Research Focus: Her work centers on leveraging thermal/non-thermal methods (e.g., high hydrostatic pressure, microwave) to modulate starch functionality and develop bioactive food matrices. Key areas include: Pressure-induced microstructure formation in starch systems Resistant starch development via V-type inclusion complexes Plant protein solubilization using non-thermal techniques Edible films with dual biomedical/food functionalities Awards: Fellow of the Institute of Food Science and Technology (2024) Fellow of the Higher Education Academy (2018) Advising & Grants: Supervises postgraduate research on non-thermal technologies (Pedro Rivero Ramos) Course director for BSc Food Science & Nutrition Her research lab focuses on interdisciplinary food science innovations, with active collaborations in food safety and functional ingredient development.

Benediktsson Jon Atliمشاهده پروفایل

استاد

• Remote Sensing
• Pattern Recognition
• Neural Networks
• +۳ مورد دیگر

Jon Atli Benediktsson is the Rector and President of the University of Iceland (since 2015) and a Full Professor in Electrical Engineering (since 1996). He holds a Cand. Scient from the University of Iceland (1984), M.S.E.E. (1987), and Ph.D. (1990) from Purdue University. His research focuses on remote sensing, pattern recognition, neural networks, and data fusion. He has held key roles including Pro-Rector for Academic Affairs (2009–2015), Head of Graduate School (2009–present), and Visiting Professorships at the University of Trento and Kingston University. He has advised 9 PhD students and contributed to major editorial roles including Editor-in-Chief of IEEE GRSS journals and membership in prestigious committees. His honors include the IEEE GRSS David Landgrebe Award (2018), IEEE Fellow (2004), and SPIE Fellow (2013). His work spans hyperspectral data analysis, machine learning applications, and geospatial technologies. Key Positions: Rector, University of Iceland | Full Professor (1996–present) Education: Purdue University (Ph.D., 1990), University of Iceland (Cand. Scient, 1984) Research: Remote Sensing, Image Analysis, Biomedical Signal Processing Awards: Over 15 major international accolades including IEEE and SPIE fellowships

James Petersمشاهده پروفایل

استاد

• Computational Topology
• Computer Vision
• Machine Learning
• +۱ مورد دیگر

James Peters is Professor in Electrical and Computer Engineering at the University of Manitoba's Price Faculty of Engineering. His research explores computational proximity, digital topology, and computer vision, developing frameworks for signal analysis and shape detection. Key innovations include near set theory for perceptual similarity, optical vortex nerve analysis, and quaternion-based fMRI interpretation. He leads the Computational Intelligence Laboratory, focusing on topological data analysis for video tracking, neuroimaging, and pattern recognition. His 700+ publications span proximal Voronoï tessellations, fuzzy topology, and geometric realizations of cell complexes. Collaborations extend to Turkey, Italy, and India through visiting professorships.

Gerd Melkusمشاهده پروفایل

استادیار

• Medical Imaging
• Magnetic Resonance Imaging (MRI)
• PET Imaging
• +۵ مورد دیگر

Dr. Gerd Melkus is an Assistant Professor in the Department of Radiology at the University of Ottawa and holds an Adjunct Research Professor appointment at Carleton University's Department of Physics. He is affiliated with The Ottawa Hospital, the Ottawa Medical Physics Institute (OMPI), the University of Ottawa Brain and Mind Research Institute (uOBMRI), and the Ottawa Hospital Research Institute (OHRI) as a Clinician Investigator. He earned his PhD in Physics specializing in MRI from the University of Würzburg, Germany, and previously directed a 7 Tesla preclinical MRI facility at the University of California, San Francisco. His research focuses on advancing medical imaging techniques (MRI and PET), developing quantitative tissue characterization methods for musculoskeletal and neurodegenerative disorders, and creating advanced image data processing algorithms. Key areas include non-invasive assessment of cartilage, tendon, and muscle tissues; quantitative susceptibility mapping of the brain; and spectral editing spectroscopy for in vivo brain metabolite analysis. Recent work explores biomarkers for conditions like oculopharyngeal muscular dystrophy, military blast-induced neurological changes, and spaceflight-related bone marrow adiposity. His studies frequently integrate longitudinal MRI analysis to track disease progression and intervention efficacy. Dr. Melkus collaborates across disciplines, bridging clinical practice, physics, and engineering to improve diagnostic and therapeutic strategies. His research has been published in top-tier journals, with a focus on translational applications in orthopedics, neurology, and oncology.

Matthew Tigheمشاهده پروفایل

استاد

• Environmental Modelling
• Pollution Science
• Chemometrics

Matthew Tighe is a Professor of Ecosystem Modelling in the School of Environmental and Rural Science at the University of New England. With expertise in environmental chemistry and statistical analysis, his research addresses pollution dynamics in terrestrial and aquatic systems. Key research areas include: Microplastic pollution pathways in protected environments Antimony and arsenic speciation in contaminated ecosystems Chemometric applications in environmental forensics His publications demonstrate advanced techniques in pollution tracking, including microplastic source identification in recreational areas and metal transformation kinetics in soils. Recent work examines contaminant interactions with climate extremes and innovative sensing technologies for soil characterization. Honors include multiple university teaching awards and editorial roles for scientific journals.

Lewis Peakeمشاهده پروفایل

مربی

• Soil Science
• Sustainable Agriculture
• Climate Change Mitigation
• +۳ مورد دیگر

Dr Lewis Peake is a Visiting Fellow and Associate Tutor in the School of Environmental Sciences and School of International Development at the University of East Anglia. His expertise spans pedology, soil carbon sequestration, sustainable agriculture, and environmental policy. He contributes to modules on soil processes, land evaluation, and agroecology, designing innovative field exercises like the 'Iron Age farming' simulation to teach soil survey techniques. His research focuses on soil governance, biochar applications, and climate change mitigation strategies. Affiliated with the Tyndall Centre for Climate Change Research and the British Society of Soil Science, he has collaborated on projects assessing storm surge impacts and soil management policies. Peake also serves as a pedology lecturer for the Biodiversity & Environmental Education Society. Teaching roles include over 30 Associate Tutor contracts at UEA, with primary responsibilities in ENV and DEV modules. His fieldwork innovations, such as the UEA campus-based Iron Age farming exercise, cater to diverse student backgrounds. Key projects include leading the 2013 North Norfolk coastal storm impact study and co-authoring policy frameworks for UK soil management. His work aligns with UN SDGs 2 (Zero Hunger), 13 (Climate Action), and 15 (Life on Land). No specific awards are listed, but his contributions emphasize practical education and policy-oriented research.

Ju Shenمشاهده پروفایل

دانشیار

• Computer Vision
• Machine Learning
• Interactive Media
• +۲ مورد دیگر

Ju Shen is an Associate Professor at the University of Dayton in the College of Arts and Sciences , Department of Computer Science. He directs the Interactive Visual Media Lab (IVIDIA) , focusing on virtual reality (VR), computer vision, and machine learning for applications in education, rehabilitation, and human-computer interaction. Ph.D. in Computer Science, University of Kentucky (2014) M.Sc. in Computer Science, University of Birmingham, UK (2006) His research spans computer vision , machine learning , and interactive media , with a recent emphasis on deep learning for 3D human pose estimation and medical imaging . He has authored over 50 peer-reviewed publications and secured grants from the National Science Foundation (NSF) , National Endowment for the Humanities (NEH) , and the Andrew W. Mellon Foundation . Recent publications highlight: Deep learning techniques for polyp segmentation and human pose estimation (2023-2024) Advancements in unsupervised depth estimation and face alignment (2020-2021) Applications in robot navigation , telepresence , and behavior analytics (2015-2019) Scientific recognition includes: Elevation to IEEE Senior Member (2016) Leadership roles at conferences like CVPR , ICME , and Healthcom Multiple STEM Catalyst Grants and Summer Research Fellowships IVIDIA Lab serves as a hub for VR/AR development , supporting student projects and collaborations in 3D environment modeling, sensor integration, and interactive controller applications.

• Condensed Matter Physics
• Topological Quantum Materials
• Magnetism
• +۴ مورد دیگر

Prof. Weida Wu is a Professor in the Department of Physics at Rutgers University, specializing in condensed matter experiment. Affiliated with the Graduate Faculty Group: Condensed Matter Experiment, their research focuses on topological phenomena in correlated quantum materials, including topological insulators, quantum anomalous Hall effect, and magnetoelectric coupling. Their lab utilizes advanced scanning probe microscopy techniques such as low-temperature STM/STS and MeFM for nanoscale investigations. Notable achievements include discoveries related to ferromagnetism in quantum anomalous Hall systems and NSF/DOE-funded projects on topological materials. Research interests emphasize exploring emergent phenomena through novel instrumentation and experimental methods. Key contributions include $2M NSF EFRI Award (with co-PIs) and DOE Early Career Award. Students and postdocs in the group work on topics like antiferromagnetic domain imaging and interface-induced superconductivity. The lab's work has led to breakthroughs such as room-temperature skyrmion lattices and surface spin-flip transitions in topological materials. Awards: DOE Early Career Award, NSF CAREER Award, NSF EFRI Grant Labs/Teams: Scanning Probe Microscopy (SPM) Lab, Condensed Matter Experiment Group Grants: $2M NSF EFRI Award (2023), DOE Early Career Award (2021) Current research trends include atomic-layer-controlled magnetic orders, interface engineering for novel phases, and visualization of quantum critical phenomena. The group actively collaborates internationally and has trained students who have received prestigious awards such as the Chinese Government Award for Outstanding Students Abroad.