جست‌وجوی استاد و پژوهشگر

Furui Chengمشاهده پروفایل

پژوهشگر ارشد

• Human-Centered AI
• Explainable Machine Learning
• Visual Analytics
• +۳ مورد دیگر

Furui Cheng is a Research Fellow at ETH Zürich's Department of Computer Science, affiliated with the IVIA Lab under Prof. Menna El-Assady. His research focuses on Human-Centered AI, combining data visualization with explainable machine learning to enhance decision-making. He holds a PhD from the Hong Kong University of Science and Technology (2022), advised by Prof. Huamin Qu. Education: PhD in Computer Science (HKUST, 2022); Previous academic background includes studies emphasizing visualization and machine learning integration. Research interests span LLM transparency, interactive ML frameworks, and healthcare AI applications. Notable projects include Polyphony (single-cell data analysis), VBridge (healthcare model explanations), and DECE (counterfactual exploration systems). His work has received awards such as the Best Paper Honorable Mention (VIS'21) and Best Abstract Award (BioVis@ISMB). Key contributions include advancing model interpretability through visual analytics, with applications in clinical decision-making and genomics. Ongoing efforts focus on aligning AI systems with user knowledge and ensuring trustworthy decision processes.

Bernd Wollscheidمشاهده پروفایل

مدرس

• Molecular Health
• Proteomics
• Cell Signaling
• +۳ مورد دیگر

Prof. Dr. Bernd Wollscheid is a Lecturer at the Department of Health Sciences and Technology (D-HEST) at ETH Zurich, Switzerland. He leads the Wollscheid Lab and the Proteomics Plattform D-HEST , focusing on decoding the extracellular interactome and the cell surfaceome's nanoscale organization. His work bridges biology, chemistry, medicine, and bioinformatics, developing cutting-edge technologies like LUX-MS and TRICEPS-based LRC to study cellular communication and signaling pathways. Research interests include understanding how the surfaceome influences cellular functions, particularly in disease contexts such as cancer and metabolic disorders. Key projects involve creating resources like the Cell Surface Protein Atlas and PROTTER , tools for visualizing proteoforms and analyzing multi-omics datasets. His lab also explores precision medicine applications, including biomarker discovery and tumor profiling for clinical decision support. Publications highlight advancements in multi-omics integration, drug repurposing, and functional proteomics. The lab collaborates on initiatives like the Swiss Personalized Health Network (SPHN) and the Personalized Health and related Technologies (PHRT) strategic focus area. Funding comes from public grants and strategic partnerships. Recruitment for motivated researchers is ongoing, emphasizing contributions to molecular health and surfaceome research.

• Robotics
• Human-Robot Interaction
• Control Systems
• +۵ مورد دیگر

Jorge Solis is an Associate Professor and Docent in Electrical Engineering at Karlstad University, Sweden. He specializes in robotics, automation, and renewable energy integration. His research focuses on assistive robots, biologically-inspired control systems, and energy storage solutions. He collaborates with industries like ABB, Camanio Care AB, and international institutions such as the University of Southern Denmark and Waseda University. He has authored over 150 publications, including peer-reviewed journals and conference papers, with a focus on human-robot collaboration, solar energy systems, and medical robotics. Key projects include gesture-based cobot programming, greenhouse energy optimization, and autonomous UAV monitoring systems. His work has earned finalist awards at major robotics conferences and a best paper award in medical engineering. Jorge teaches courses in industrial automation, control systems, and embedded control at both bachelor’s and master’s levels. He leads research teams and chairs technical committees in bio-robotics. His contributions span academia-industry partnerships, emphasizing practical applications in healthcare, agriculture, and energy sectors.

Stuart Manglesمشاهده پروفایل

استاد

• Laser-Plasma Physics
• High-Intensity Lasers
• Particle Acceleration
• +۵ مورد دیگر

Professor Stuart Mangles is a leading academic in laser-plasma physics at Imperial College London's Department of Physics, part of the Faculty of Natural Sciences. His research focuses on high-intensity laser interactions, plasma-based accelerators, and applications in quantum electrodynamics (QED), X-ray imaging, and material science. He leads projects like the EuPRAXIA initiative, developing compact particle accelerators. Recent work includes experiments on radiation reaction effects, muon production, and ultrafast X-ray imaging of dynamic phenomena. Mangles' lab leverages cutting-edge laser facilities to explore topics ranging from warm dense matter to medical irradiation techniques. Research Highlights: Developing laser wakefield accelerators for compact, high-brightness X-ray sources Investigating quantum effects in ultra-high intensity laser-plasma systems Pioneering applications in radiobiology and industrial imaging Advancing shock dynamics and material phase transitions understanding His work bridges fundamental physics with applied technologies, with significant contributions to the European Strategy for Particle Physics and international collaborations.

• Neuroscience
• Neuroimaging
• Cognitive Neuroscience
• +۳ مورد دیگر

Stefania Della Penna is an Associate Professor at the Consiglio Nazionale delle Ricerche (CNR) Institute for Superconductors, Innovative Materials and Devices. Her research focuses on neuroimaging techniques such as MEG and fMRI, particularly investigating brain connectivity, neural oscillations, and their roles in cognitive processes like attention, decision-making, and motor learning. She has contributed to studies on Alzheimer's disease biomarkers, psychedelic drug effects, and the dynamics of functional brain networks. Her work integrates computational modeling (e.g., Hopfield networks) with experimental approaches to understand how neural connectivity underpins perception and cognition. Key contributions include analyzing alpha/beta rhythm modulations during cognitive tasks and identifying core networks in resting-state brain activity. Dr. Della Penna collaborates extensively in international projects like the Human Connectome Project, advancing neuroimaging methods for studying brain dynamics. Her publications span 95+ articles in top journals such as Neuron , Biological Psychiatry , and NeuroImage .

Ralph Etienne-Cummingsمشاهده پروفایل

استاد

• Neuromorphic Engineering
• Neural Prosthetics
• Biomedical Robotics
• +۵ مورد دیگر

Ralph Etienne-Cummings is the Julian S. Smith Professor of Electrical and Computer Engineering at Johns Hopkins University (JHU), where he also serves as Vice Provost for Faculty Affairs. He holds secondary appointments in Computer Science and is affiliated with JHU's Applied Physics Lab. His work spans three decades, pioneering advancements in neuromorphic engineering, neural prosthetics, and biomorphic robotics. Etienne-Cummings leads the Computational Sensory Motor Systems Laboratory and has developed systems for closed-loop neural interfaces, prosthetics, and biomedical sensors. Education: BSc in Physics (1988), Lincoln University MSEE (1990) and PhD (1994) in Electrical Engineering, University of Pennsylvania Research Interests: His work focuses on neuromorphic systems, bio-inspired algorithms, and neural prosthetics. Key areas include spinal cord stimulation for mobility restoration, wearable health monitoring, and ultrasonic imaging for infertility treatment. He has contributed to silicon Central Pattern Generators (CPGs) for bipedal robotics and developed the first large-scale neural computer using VLSI chips. His lab explores organoid intelligence and biohybrid systems, blending neuroscience with engineering. Impact & Recognition: Named Fellow of AIMBE (2021) and IEEE (2012) Recipient of JHU Discovery Awards (2018–2019) and NSF CAREER Award (1996) Developed the 'Microbead'—a 0.009mm³ wireless neural stimulator Industry & Outreach: Served as founding director of JHU's Institute of Neuromorphic Engineering and advised firms like Panasonic and Avago. Testified in federal court on intellectual property disputes. Recognized as a 'ScienceMaker' in the HistoryMakers Archive for contributions to African American STEM leadership. Labs & Collaborations: Directs the Computational Sensory Motor Systems Lab. Collaborates with DARPA on prosthetics and the NIH on bioelectronic medicine. His work bridges academia and industry, emphasizing practical applications of neural engineering.

Maria Sledmereمشاهده پروفایل

مدرس ارشد

• Ecopoetics
• Post-Internet Literature
• Dream Studies
• +۲ مورد دیگر

Dr. Maria Sledmere is a Senior Lecturer in English & Creative Writing at the University of Strathclyde, appointed in 2022. She holds a Doctorate of Fine Art in Creative Writing from the University of Glasgow, an MLitt in Modernities, and a BA in English Literature. Her interdisciplinary research explores climate emergency, technology, sleep ecology, and post-internet culture through creative-critical methods. Sledmere directs SPAM Press, supporting experimental literature, and co-founded the A+E Collective (2018-2024), addressing climate change through art. Her practice includes poetry collections like Cinders (Krupskaya) and collaborations with musicians/artists. Current projects include Project Somnolence , examining sleep experiences through poetry and workshops. Teaching spans undergraduate/postgraduate levels, focusing on ecopoetics, experimental writing, and contemporary literature. She supervises PhDs in American poetry, ecocriticism, and digital publishing. Recent articles (2024-2025) exhibit trends in eco-art, digital literature, and poetic responses to consumer culture, often employing hybrid forms. Awards include Best Scottish Poem (2020) and shortlists for Saltire Poetry Book of the Year (2022) and ASLE-uki Prize (2023). Sledmere engages communities through workshops (StAnza Festival, Glasgow Science Festival) and digital platforms like her Brilliant Vibrating Interface project.

Fatemeh Vafaeeمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Systems Biology
• +۵ مورد دیگر

Associate Professor Fatemeh Vafaee is a leading researcher at the University of New South Wales (UNSW) , holding appointments as Associate Professor in the School of Biotechnology and Biomolecular Sciences (BABS) and Deputy Director (Science) of the UNSW AI Institute . She previously served as Deputy Director of the UNSW Data Science Hub (uDASH) and has held academic positions at the University of Toronto and the University of Sydney. PhD in Artificial Intelligence from University of Illinois at Chicago Postdoctoral Fellowships at University of Toronto and University of Sydney Founded the AI-Enhanced Biomedicine Laboratory in 2017 Her research focuses on deploying advanced AI techniques to address biomedical challenges through: Biomarker Discovery for cancer and neurodegenerative diseases Single-Cell Multi-Omics data integration and analysis Computational Drug Repositioning and network pharmacology Multi-Omics Data Fusion and temporal network modeling Recent publications demonstrate expertise in liquid biopsy development , single-cell imaging , and AI-driven cancer diagnostics . Her methodological contributions include novel deep learning architectures for omics data analysis and graph neural networks for drug synergy prediction. Scientific accolades include: Winner, Women in AI Asia-Pacific Health Award (2023) Runner-Up, WAI-APAC Innovator of the Year (2023) Top 10 Women in AI in Asia-Pacific (2023) Australian Bioinformatics and Computational Biology Society Research Excellence Award (2023) She supervises PhD candidates across computational biomedicine and AI in healthcare , with significant grant achievements exceeding $17M in competitive funding, including schemes from ARC Discovery , NHMRC , and Medical Research Future Fund .

Maria Schweigelمشاهده پروفایل

استاد

• Artificial Intelligence Algorithms
• Optimization Techniques
• Software Development
• +۴ مورد دیگر

Professor Maria Schweigel Prof. Maria Schweigel is a Professor at the Department of Autonomous Systems, Schmalkalden University of Applied Sciences. Her teaching focuses on automation control, electronic control systems, robotics, and embedded systems. She leads the research group 'Eingebettete Diagnosesysteme' (Embedded Diagnostic Systems) and specializes in artificial intelligence algorithms, optimization using genetic and evolutionary methods, and biosignal analysis for anesthesia and sleep studies. Her research spans robotics, embedded systems, image processing, and software development with tools like C/C++, MATLAB/Simulink, and LabView. Key projects include real-time EEG classification for anesthesia monitoring, low-SNR biomedical signal extraction, and SVM-based classification on resource-constrained platforms. She has contributed to international conferences like ECT and IWK TU Ilmenau, focusing on interdisciplinary applications in medical technology and autonomous systems. No scientific awards were explicitly listed in the provided materials. Her advising and grants are not detailed here, but her extensive publication record (2009–2016) demonstrates active involvement in collaborative research with colleagues like Wenzel, Walther, and Baumgart-Schmitt. She co-developed tools such as the Multi-EEG-Viewer and explored wireless biomedical signal transmission for relaxation control systems.

Todd Millerمشاهده پروفایل

عضو هیئت علمی

• Environmental Science
• Toxicology
• Aquatic Ecosystems
• +۳ مورد دیگر

Todd Miller is an Affiliate Professor at the School of Freshwater Sciences and Associate Professor in Environmental Health Sciences at the Zilber College of Public Health, University of Wisconsin-Milwaukee. He holds additional roles as Research Associate at the Center for Limnology and Department of Bacteriology, University of Wisconsin-Madison, and served as a Postdoctoral Scholar in Environmental Health Engineering at Johns Hopkins School of Public Health. Education: PhD in Marine Estuarine Environmental Sciences from the University of Maryland and BS in Biological Sciences from St. Norbert College. Research focuses on microbial regulation of toxin exposure in water/wastewater systems, with emphasis on cyanobacterial harmful algal blooms (HABs), toxin dynamics, and ecosystem impacts. His work integrates field monitoring technologies (e.g., Panther Buoy) with microbial community analysis to model toxin production and degradation in aquatic environments. Publications highlight advancements in real-time HAB monitoring, toxin epidemiology in vulnerable communities, and phosphorus dynamics in eutrophic systems. Collaborative efforts include community-driven initiatives like CLEAR (Community leaders engaged in aquatic research) to enhance urban waterway understanding. Labs/Teams: Directs the Miller Laboratory, pioneering innovations in water quality monitoring systems and cyanotoxin research. Current projects address toxin mitigation strategies, climate-driven bloom shifts, and interdisciplinary solutions for public health protection.

Francesco Negroمشاهده پروفایل

استاد

• Applied Physiology
• Biomedical Engineering
• Neurophysiology
• +۳ مورد دیگر

Francesco Negro is a Full Professor in Kinesiology at the University of Brescia. He holds a M.Sc. in Telecommunication Engineering from Politecnico di Torino and a Ph.D. in Biomedical Engineering from Aalborg University. Previously, he served as a PostDoc at the University Medical Center in Göttingen. His research focuses on applied physiology of the human motor system, signal processing of electromyography (EMG), and modeling spinal neural networks. Key areas include motor unit behavior, neuromuscular disorders, exoskeleton biomechanics, and exercise physiology. Recent work investigates E-biking intensity domains, motor unit adaptations in tendinopathy, and neural control mechanisms in skill acquisition. He employs high-density EMG and magnetomyography to study neuromuscular function, particularly in aging populations and clinical settings like stroke rehabilitation. His studies also address ergonomic interventions using wearable technologies to mitigate musculoskeletal strain in occupational tasks.

• Animal Vision
• Color Perception
• Evolutionary Biology
• +۳ مورد دیگر

Prof Daniel Colaco Osorio is a Professor of Neuroscience (Ecology and Evolution) at the University of Sussex, affiliated with the School of Life Sciences. He serves as Deputy Head of the School and Director of Taught Programmes. Osorio holds a BA and MA in Natural Sciences from the University of Cambridge (specializing in Zoology) and a PhD in Neurobiology from the Australian National University (ANU), focusing on insect visual physiology. His postdoctoral work spanned Cambridge and ANU before joining Sussex in 1992. His research explores animal vision, particularly color perception and object recognition in species like butterflies, primates, birds, and cephalopods. He also holds a patent for color measurement in images, derived from his theoretical work on animal vision, with potential medical applications. Osorio sits on the Biotechnology and Biological Sciences Research Council’s research committee and contributes to ethical guidelines for cephalopod welfare under EU legislation. He chairs the Ethics Committee for Merlin Entertainments’ aquaria/zoo operations and co-authored guidelines for cephalopod research ethics. Research interests span visual ecology, evolutionary signaling, and the neural mechanisms underlying camouflage and color discrimination. Notable grants include studies on cephalopod visual behavior, avian spectral processing, and the evolution of trichromacy in primates. He organizes courses like 'Receptors and Senses' and 'Seminars in Neuroscience.' Osorio’s recent work bridges biology and technology, applying vision science to medical imaging and legal frameworks. His lab collaborations emphasize interdisciplinary approaches to understanding sensory systems across species.

Riccardo Storchiمشاهده پروفایل

پژوهشگر ارشد

• Visual Neuroscience
• Neural Coding
• Electrophysiology
• +۳ مورد دیگر

Riccardo Storchi is a Sir Henry Dale Fellow and Principal Investigator in the Division of Neuroscience within the Faculty of Biology, Medicine and Health at the University of Manchester. His research focuses on visual and somatosensory systems using rodent models, with particular expertise in neural coding, electrophysiology, and animal behavior. His primary research interests span Visual Neuroscience, Neural Coding, Electrophysiology, Animal Behaviour, Circadian Rhythms, and Retinal Ganglion Cell function. Storchi investigates how visual information is processed across different ecological niches and how motor control influences sensory coding in freely moving animals. His work frequently employs advanced techniques including optogenetics and behavioral analysis in naturalistic settings. Analysis of his recent publications reveals a strong focus on visual system plasticity across species, sensorimotor integration in natural environments, and neural adaptations to photoreceptor degeneration. His research bridges fundamental neuroscience with potential applications in understanding visual disorders and neural rehabilitation. Action in Vision - Wellcome Trust (2020) Interrogating the mouse visual system by automated analysis of voluntary behaviour - NC3Rs (2017) Storchi leads multiple significant research projects including the Centre for Biological Timing as Principal Investigator, and collaborates extensively on circadian rhythm research and sensory-motor integration studies. His current projects examine neural networks underlying circadian decisions and the effect of motor control on sensory coding in awake, freely moving mice. He maintains active collaborations with researchers across neuroscience disciplines, particularly in visual and somatosensory systems. His laboratory work integrates electrophysiological recordings with behavioral analysis in freely moving animals, utilizing advanced techniques to study neural coding in natural contexts. The research team focuses on both fundamental neural mechanisms and translational applications related to visual processing and circadian regulation.

• Fluid Mechanics
• Turbulence
• Flow Control
• +۷ مورد دیگر

Professor Jonathan Morrison is a Professor of Experimental Fluid Mechanics at the Department of Aeronautics, Imperial College London. He holds a PhD from the University of Durham and joined Imperial College in 1991. His research focuses on turbulent flow instabilities, drag reduction in fluid systems, and interdisciplinary applications of fluid mechanics with smart materials and control theory. He leads the UK National Wind Tunnel Facility (NWTF), a network of 22 wind tunnels across UK universities, supported by £36.3m in funding from EPSRC and UKRI. Key affiliations include Energy Futures Lab, Flow Control Group, and the Royal Society Industry Fellowship (2023–2027). He is a Fellow of the Royal Academy of Engineering and Royal Aeronautical Society. His work bridges mechanical engineering, aerospace engineering, and applied mathematics, addressing challenges in energy efficiency and transport sector emissions. Notable achievements include developing adaptive surface structures for boundary layer control, collaborating with QinetiQ on airframe drag reduction, and exhibiting at the Royal Society Summer Exhibition (2014). His experimental studies on turbulent wakes, bluff body dynamics, and boundary layer transition have advanced fundamental and applied fluid mechanics. Scientific Awards Fellow of the Royal Academy of Engineering (FREng) Royal Society Industry Fellow (2023–2027) Fellow of the Royal Aeronautical Society Grants & Collaboration £13.3m EPSRC/Aerospace Technology Institute grant (2014) for NWTF establishment £23m UKRI funding (2023) for expanding NWTF facilities Industry collaboration with QinetiQ on drag reduction for airframe design Labs & Teams Flow Control Group at Imperial College (www3.imperial.ac.uk/aeflowcontrol) focuses on experimental and numerical studies of turbulent flows. The NWTF network enables large-scale aerodynamic testing for academia and industry partnerships.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۹ مورد دیگر

Carlo Masone is a Fixed-term Researcher at the Department of Control and Computer Science (DAUIN), Politecnico di Torino, affiliated with the College of Electronic, Telecommunications, and Physics Engineering. He is also an invited member of the College of Management and Production Engineering and the College of Mathematical Engineering, reflecting his interdisciplinary contributions. His research focuses on artificial intelligence, machine learning, computer vision, and robotics, with significant work in visual place recognition, federated learning, and geospatial AI. His research interests span Artificial Intelligence , Machine Learning , Computer Vision , Robotics , Visual Place Recognition , Federated Learning , Open-Set Segmentation , and Geospatial AI . He has developed methods for uncertainty quantification in ML models for autonomous vehicles and contributed to digital heritage through the MAPP project. The recent publications highlight a strong trend in visual place recognition (e.g., EigenPlaces, MeshVPR), geolocalization of astronaut photography (Earthloc, EarthMatch), and robust segmentation (Mask2Anomaly). There is a clear emphasis on leveraging pre-trained features, federated learning for privacy-preserving recognition, and topological methods in vision. His work bridges robotics, AI, and real-world applications in autonomous systems and cultural heritage. Scientific Awards: Outstanding Reviewer at CVPR (2022, 2023, 2024) IROS JTCF Novel Technology Paper Award (2016) Best Paper Award Finalist at IEEE ICIA (2016) ELLIS Fellow (2024–) He advises PhD students in Artificial Intelligence and Computer and Systems Engineering and leads commercial research projects such as Quantifying Uncertainties in ML Models for Driver-Assisted and Autonomous Vehicles and MAPP - Phygital and Participatory Alpine Museums . He has previously collaborated with the Max Planck Institute for Biological Cybernetics (2014–2017). He teaches courses including Machine Learning for Mathematical Engineering , Robot Learning , and GeoAI , and contributes to programming and data science curricula. He is also a co-inventor on a patent for automated neural network design.