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Evelyn RamplerView profile

Assistant Professor

• Analytical Chemistry
• Mass Spectrometry
• Metabolomics
• +3 more

Evelyn Rampler is an Assistant Professor (Tenure Track) at the University of Vienna's Faculty of Chemistry, Department of Analytical Chemistry. Her research focuses on advancing mass spectrometry-based methodologies for lipidomics and metabolomics, with particular expertise in ganglioside profiling, metabolic pathway analysis, and analytical workflow optimization. She leads projects addressing challenges in quantitative lipidomics, sustainable metabolite extraction, and the application of novel mass spectrometry tools for biomarker discovery. Her academic contributions include pioneering work on TRAM (Triple Acquisition Mass Spectrometry) for integrated metabolomics and lipidomics analysis, FAIMS-enhanced lipidomics workflows, and taxonomically-informed metabolite identification tools like microbeMASST. She has organized international conferences such as APMRS-CEEPC 2024 and actively promotes gender equity in analytical chemistry through advocacy initiatives. Key research areas span metabolic engineering using isotope labeling, sustainable agricultural practices for bioactive compound production, and drug discovery targeting cancer metabolism. Rampler has secured research funding for projects like 'Prone Adiposity,' exploring adipogenic differentiation mechanisms in mesenchymal stem cells through multiomics approaches. Her lab develops innovative LC-MS methodologies to enhance metabolite coverage and analytical throughput while maintaining high resolution and accuracy. Notable collaborations include work with institutions on microbial metabolomics, plant lipidomics, and stem cell glycolipid analysis. Her team's activities emphasize translational applications of analytical chemistry in environmental science, pharmacology, and biomedical research, with over 55 peer-reviewed publications and frequent conference presentations since 2012.

Marcin PrzywartyView profile

Researcher

• Maritime Traffic Engineering
• Ship Maneuvering Safety
• Fairway Design
• +2 more

Marcin Przywarty is a researcher at the Department of Marine Traffic Engineering within the Faculty of Navigation at Maritime University of Szczecin. His work focuses on maritime safety, fairway design, and simulation methods for ship navigation. His research interests center on maritime traffic engineering with emphasis on: Ship maneuvering safety and fairway bend dimensioning Risk assessment in emergency navigation scenarios Port infrastructure optimization for LNG tankers and container vessels Environmental impact analysis of slow steaming operations Analysis of his publication trends (2016-2020) reveals a consistent focus on simulation-based approaches to maritime safety challenges. Key thematic clusters include fairway design optimization (30% of publications), risk assessment methodologies (25%), port infrastructure planning (20%), and specialized applications like oil spill response and LNG terminal design (25%). His work frequently employs kinematic modeling and full-mission bridge simulators to address practical navigation problems.

Thomas SchierlView profile

Researcher

• Video Coding
• Wireless Communication Protocols
• Multimedia Systems
• +3 more

Dr. Thomas Schierl is the Head of the Video Communication and Applications Department at Fraunhofer Heinrich Hertz Institute (HHI) in Berlin. Since 2010, he has led research groups in multimedia communications and video coding, co-developing key video coding standards such as H.264 SVC and HEVC. He currently heads the Video Coding & Analytics department since 2015, focusing on video compression, wireless transmission, and standardization. Education: Diplom-Ingenieur (Computer Engineering) from Berlin University of Technology, 2003 Dr.-Ing. in Electrical Engineering and Computer Science, Berlin University of Technology, 2010 Research interests span video over wireless networks, system integration of video codecs, and cellular network protocols. He contributed to MPEG-2 Transport Stream standards and co-authored IETF RFCs for video payload formats. In 2014, he received the Emmy Award for MPEG-2 Transport Stream development. Active in standardization bodies: JCT-VC, MPEG, IETF, 3GPP, and DVB. His work includes high-level syntax for HEVC parallelism and V2X resource pooling for 5G NR. Labs/Teams: Leads the Video Coding & Analytics team at HHI, specializing in cutting-edge video compression and communication technologies.

Sebastian KozerkeView profile

Professor

• Magnetic Resonance Imaging
• Cardiac Mechanics
• Perfusion Imaging
• +3 more

Prof. Dr. Sebastian Kozerke is Full Professor at ETH Zürich's Department of Information Technology and Electrical Engineering, leading the Professorship for Biomedical Imaging. His research program develops advanced magnetic resonance imaging methods for cardiac applications, focusing on ultra-fast dynamic imaging of perfusion, cardiac mechanics, and microstructure analysis. Key innovations include k-t undersampling techniques and parallel imaging methods that significantly advance spatiotemporal resolution in medical imaging. Professor Kozerke's research spans multiple domains including perfusion imaging, diffusion tensor imaging for myocardial microstructure, and real-time metabolic imaging using dynamic nuclear polarization. Current investigations explore hyperpolarized 13 C pyruvate metabolic imaging, neural network applications for cardiac analysis, and low-field MRI techniques. His work consistently bridges fundamental physics with clinical translation. Publications demonstrate leadership in cardiovascular MRI innovation. Recent work establishes consensus standards for hyperpolarized MRI studies (2025), develops deep learning frameworks for flow quantification (FlowMRI-Net), and advances microstructure analysis in cardiomyopathy (2025). Earlier foundational work includes contributions to diffusion imaging, parallel MRI methods, and cardiac DTI techniques. Professor Kozerke teaches core courses including 'Biomedical Imaging' (227-0385-10L), 'Biomedical Engineering' (227-0386-00L), and leads the 'Seminar on Biomedical Magnetic Resonance' (227-0980-00L). He founded EXCITE Zurich, a joint center for experimental and clinical imaging technologies. Career progression includes: PhD and Venia legendi from ETH Zurich, research at King's College London, co-founding GyroTools (2003), professorship at King's College London (2008), University of Zurich (2010), and ETH Zurich dual appointment (2014).

Alexandre KhaldiView profile

Associate Professor

• Electroactive Polymers
• Soft Robotics
• Materials Chemistry
• +5 more

Alexandre Khaldi is an Associate Professor at IMT Atlantique’s Optics Department. His research focuses on innovative electroactive polymers for sensing and robotic applications in health and environmental domains. He holds a Master’s in Physico-Chemistry of Polymers (2008, Cergy-Pontoise University) and a Ph.D. in Electronic, Micro, and Nanotechnologies (2012, University of Valenciennes). Notable positions include postdoctoral work at the University of Cambridge (2012–2014) and a Marie Curie Fellowship at Linköping University (2014). His work spans smart microsystems, microrobotics, and porous polymer microparticles for acoustic metamaterials. Current research integrates micro-nano engineering, materials chemistry, and soft robotics to develop autonomous transducing systems. Research interests include electroactive polymers for health/environmental sensing, microfluidics, and smart textiles. His projects address challenges in stretchable electronics, plasmonic nanocrystals, and laser-based microfabrication. He has pioneered textile-based actuators for airflow measurement and electrochromic contact lenses. Khaldi’s methodologies involve advanced fabrication techniques like two-photon polymerization and sacrificial templating. Publications highlight contributions to wearable sensors, microactuator design, and material synthesis. His work bridges fundamental polymer science with applied engineering, emphasizing sustainability and biomedical integration. Ongoing efforts explore proximity effects in laser writing and scalable manufacturing of soft robotic components.

Sung Jae JunView profile

Professor

• Econometrics
• Causal Inference
• Quantile Regression
• +5 more

Sung Jae Jun is a Professor of Economics and Associate Department Head in the Department of Economics at Pennsylvania State University. His research focuses on econometrics, causal inference, quantile regression, and auction models. He holds a Ph.D. from Brown University (2006). His work emphasizes methodological advancements in causal effect estimation under partial identification, weak identification, and outcome-based sampling. Key themes include persuasion effects, treatment heterogeneity, and structural estimation in triangular models. Recent contributions address policy evaluation frameworks using difference-in-differences and counterfactual prediction in game-theoretic contexts. Publications span topics like risk aversion in auctions, semiparametric testing, and software development (e.g., R package 'ciccr'). His research integrates econometric theory with applied problems in labor economics, industrial organization, and political economy. No academic awards or advisees are listed in available materials. He maintains a Google Scholar profile and a website at https://sites.google.com/view/suj14/.

• Geropsychology
• Wellbeing and health
• Innovation expertise
• +9 more

Tuomas Leisti is a Lecturer and Doctor of Psychology (PsT) at Metropolia University of Applied Sciences, affiliated with the Wellbeing Team 3. His professional roles include teaching psychology and research methods, supervising Master's theses, and contributing to RDI (Research, Development, Innovation) projects. He holds certifications as a licensed psychologist and professional teacher (AmO), with proficiency in Finnish (native), English (excellent), Swedish (average), and German (basic). Leisti's research focuses on geropsychology, wellbeing and health, innovation expertise, cognitive psychology, and the philosophy of mind. His doctoral work explored the role of consciousness in decision-making, with prior experience in human-technology interaction. He is particularly interested in decision-making processes, problem-solving, and the metacognitive skills underlying these activities. Key projects include the Wellbeing Hybridist initiative (2021–2023) and the pan-European COMHOM project (2025–2028), which addresses homelessness through data-driven solutions. His research outputs span over two decades, emphasizing subjective image quality evaluation, cognitive modeling, and quantitative methodologies. Leisti's work integrates empirical and philosophical approaches, addressing topics such as qualia, decision heuristics, and the interplay between conscious thought and judgment. Despite no explicitly listed awards, his extensive publication record reflects sustained contributions to psychological and applied research fields.

Phillip Ming-Da ChengView profile

Clinical Professor

• Medical Imaging Informatics
• Artificial Intelligence in Radiology
• Abdominal Imaging
• +3 more

Phillip Ming-Da Cheng, MD is a Professor of Clinical Radiology and Medical Director of Radiology at Norris Hospital, part of the Keck School of Medicine of the University of Southern California. His clinical work focuses on abdominal imaging and image-guided interventions at the Norris Comprehensive Cancer Center. Dr. Cheng's primary research interests lie at the intersection of radiology and artificial intelligence. He has pioneered work in applying machine learning and informatics to solve practical problems in radiology, with a particular focus on abdominal imaging. His research spans several key areas including deep learning for medical image analysis, natural language processing for radiology reports, CT dose monitoring and optimization, and software tools to improve radiology workflow. His highly-cited educational articles in Radiographics have become essential resources for radiologists navigating the AI revolution in medical imaging. RSNA 2016 Certificate of Merit for research on Transfer Learning with Convolutional Neural Networks RSNA 2015 Magna Cum Laude award for ReportDiff: Analyzing Attending Edits of Radiology Trainee Reports RSNA 2013 Cum Laude award for PrelimCheck: Software to Facilitate Follow-Up of Resident Preliminary Reports 3rd place entry in the RSNA Pneumonia Detection Machine Learning Challenge (2018) Dr. Cheng leads a productive research group that has developed numerous open-source tools addressing real-world challenges in radiology departments. His team has created practical software solutions including NeedlePath for CT-guided procedures, ReportDiff for analyzing resident report edits, PrelimCheck for tracking preliminary reports, RadQRCode for teaching file metadata management, and DoseRetriever for CT dose monitoring. These tools demonstrate his commitment to improving clinical workflow, education, and patient safety through technology innovation.

• Marine Biology
• Genomics
• eDNA Monitoring
• +5 more

Reindert Nijland is an Associate Professor in Marine Animal Ecology at the Wageningen Institute of Animal Sciences (WIAS), Wageningen University. His research focuses on marine biodiversity, genomics, and eDNA-based monitoring techniques. He has contributed to projects involving offshore wind farm ecological impacts, DNA methylation in marine organisms, and molecular approaches for biodiversity assessment. Nijland collaborates extensively, leading or co-supervising PhD projects on topics like North Sea zooplankton dynamics, eDNA tools for offshore wind farms, and sponge-associated biodiversity. Key research interests include marine genetics, epigenetic mechanisms in invertebrates, and the application of cutting-edge sequencing technologies. His work bridges ecology and genomics to address challenges in marine conservation and environmental management. Recent studies emphasize nanopore sequencing for biodiversity monitoring and the ecological effects of human infrastructure like wind farms. Notable projects include developing eDNA tools for biodiversity assessment and understanding the effects of climate change on North Sea ecosystems. Nijland has advised multiple PhD candidates, contributing to a range of marine ecological studies. His work is published in high-impact journals and presented at international conferences, reflecting his commitment to advancing marine science through interdisciplinary research.

• Psycholinguistics
• Sentence Processing
• Prosodic Analysis
• +2 more

Nazik Dinçtopal Deniz is an Assistant Professor at Boğaziçi University's Department of Foreign Language Education, with a secondary appointment in the Cognitive Science program. Her research examines first and second language processing mechanisms, especially the role of prosody in syntactic and morphological disambiguation in Turkish. Research investigates rhythmic influences in sentence processing, prosodic resolution of ambiguities, and cross-linguistic factors in L2 processing. Current projects include a TÜBİTAK-funded study on negative polarity items in Turkish L1/L2 acquisition. Directs the Psycholinguistics Laboratory equipped with eye-tracking technology. Supervised 5 graduate theses on topics including focus processing and agreement asymmetries. No major scientific awards documented.

• Marine Microbial Ecology
• Biological Oceanography
• Oceanography
• +5 more

Paul Thomson is an Adjunct Senior Lecturer at the School of Engineering, University of Western Australia (UWA), and a member of the UWA Oceans Institute. He specializes in marine microbial ecology, bio-optical instrumentation, and oceanography. His roles include leading research in glider bio-optical data mining and microbial community studies through the Australian National Facility for Ocean Gliders (ANFOG). Research Interests: Focuses on marine microbes (phytoplankton, bacteria), picophytoplankton dynamics, and the application of ocean gliders for environmental monitoring. His work addresses factors influencing microbial distribution, including ocean acidification and bio-optical signals. Contributions align with UN Sustainable Development Goals related to life below water. Grants & Projects: Ecology of picophytoplankton at IMOS National Reference Stations (CSIRO, 2014) Analysis of picophytoplankton in seawater (CSIRO, 2011) ROV imagery for marine ecosystems (UWA, 2017) Current projects include marine microbial communities of the NW shelf, glider bio-optical signal analysis, and picoplankton abundance monitoring. Awards: Received the 2023 UWA Research Awards Special Commendation for collaborative work on water plumes research. Labs & Collaboration: Leads ANFOG glider operations and collaborates with institutions like CSIRO and the Australian Antarctic Division on microbial and oceanographic research.

Klaas van der MeerView profile

Professor

• General Practice
• Primary Medical Care
• Oncology
• +3 more

Prof. dr. Klaas van der Meer is a Professor at the Faculty of Medical Sciences, University of Groningen. His primary affiliation is with the Department of General Practice, focusing on primary healthcare research. He holds a part-time role as a general practitioner, contributing clinical insights to his academic work. His research emphasizes patient preferences in oncology follow-up care, cost-effectiveness of interventions for musculoskeletal conditions, and epidemiology of common clinical issues in primary care settings. Key research interests include general practice optimization, healthcare delivery models, and evidence-based guidelines for chronic conditions. Recent studies have explored breast cancer follow-up preferences, cost analyses of epidural steroid treatments, and longitudinal tracking of low back pain outcomes. His work often intersects with policy implications, as seen in clinical guideline references and healthcare system cost evaluations. Supervision of 12 academic works demonstrates his mentorship role. Collaborations span diverse medical disciplines, with publications in journals like Archives of Physical Medicine and Rehabilitation and Health Expectations. His research consistently bridges clinical practice and public health outcomes, addressing both patient-centered care and systemic efficiency challenges.

James KemptonView profile

Researcher

• Biogeography
• Biodiversity Science
• Biomechanics
• +4 more

Dr James Kempton is a Visiting Researcher at the University of Oxford's Department of Biology and an Associate Member of Merton College. Concurrently, he serves as a Research and Development Fellow at the UK Government's DEFRA, stationed at the Royal Botanic Gardens, Kew, where he leads the 'Innovative Data Science for the Exploration of Biodiversity Darkspots' project. His research spans biomechanics of avian flight, influenza surface protein evolution, and Indo-Pacific biogeography. Current work focuses on biodiversity discovery in New Guinea through the Cyclops Mountains Ecology Project—a multinational collaboration that rediscovered Attenborough's long-beaked echidna after 62 years. This integrates specimen collection with computational approaches for automated species identification from 38,000 camera-trap images. Recent publications (2021-2025) reveal interdisciplinary trends: applying missile guidance theory to avian pursuit dynamics, optimizing seabird flight energetics, and pioneering biodiversity informatics in underexplored regions. Key disciplines include biomechanics, conservation biology, and ecological data science, with consistent emphasis on engineering principles applied to biological systems. Kempton's collaborative projects include the Cyclops Mountains Ecology Project (with Oxford, Yappenda, Indonesian institutions) and DEFRA-funded research at Kew. These initiatives secure substantial grant support for exploring biodiversity darkspots and developing novel ecological monitoring technologies through international partnerships. He directs Cyclops Mountains field operations, managing extensive specimen collections and image datasets. This work establishes foundations for biogeographical studies of New Guinea's montane ecosystems and automated wildlife monitoring systems, with future applications in conservation of least-explored terrestrial regions.

Silvia P. GennariView profile

Senior Lecturer

• Sentence Production and Comprehension
• Cognitive Neuroscience of Language
• Event Structure Representation
• +5 more

Dr. Silvia P. Gennari is a Senior Lecturer in the Department of Psychology at the University of York. She specializes in sentence production and comprehension, cognitive neuroscience of language, event structure representation, and time in language and memory. Her work explores the interaction between language, attention, and cognition across languages. Education: BSc and MA from Comahue National University, Argentina; MSc and PhD in Cognitive and Linguistic Sciences from Brown University. Her research spans cognitive neuroscience, focusing on: Event structure processing and memory Animacy effects in sentence production Temporal and indexical references Cross-linguistic comparisons Neuroimaging and behavioral techniques Recent publications highlight trends in temporal event memory, lexical competition, and neuroimaging studies. She serves as Admissions Officer for Postgraduate Taught programs and Director of the MRes programme. Collaborators include scholars from the University of Wisconsin-Madison, University of Lehigh, and Open University of Catalonia.

• Wildlife Medicine
• Conservation Biology
• Avian Health
• +3 more

Anna Le Souef is a Senior Lecturer in Wildlife and Conservation Medicine at Murdoch University's School of Veterinary Medicine, part of the College of Environmental and Life Sciences. Her work focuses on avian health, particularly endangered black cockatoo species in Western Australia, combining clinical veterinary expertise with conservation biology. She leads research on wildlife toxicology, health monitoring, and rehabilitation strategies for threatened species. Her research emphasizes Carnaby’s and Baudin’s cockatoos, investigating health parameters, toxin exposure, and hindlimb paralysis syndromes. Collaborative projects include satellite tracking post-rehabilitation releases and developing diagnostic tools for age estimation and disease management. She also explores agricultural land conservation impacts on cockatoo breeding habitats. Notable projects involve long-term health studies of wild cockatoo nestlings and advancing clinical pathology methods for wildlife. Her work bridges veterinary medicine and ecological conservation, addressing both individual animal care and population-level threats.