جست‌وجوی استاد و پژوهشگر

Genevieve Housmanمشاهده پروفایل

پژوهشگر

• Primate Functional Genomics
• Complex Trait Evolution
• Skeletal Development and Maintenance
• +۳ مورد دیگر

Genevieve Housman serves as Group Leader of the Skeletal Genomics Lab within the Department of Primate Behavior and Evolution at the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany. She leads research investigating the complex relationship between genotype and phenotype in primate skeletal systems using integrated laboratory and computational approaches. Her primary research interests focus on primate functional genomics , complex trait evolution , and skeletal development and maintenance . Through innovative skeletal cell culture systems using human and nonhuman primate pluripotent stem cells, her lab examines gene regulation across evolutionary scales, developmental timepoints, and environmental perturbations. Key research areas include skeletal gene regulation among primates, gene-by-environment interactions in bone, and evolutionary medicine applications to skeletal systems. Analysis of her recent publications (2022-2025) reveals a strong emphasis on comparative primate genomics, particularly using in vitro cell culture models to study skeletal evolution. Her work spans evolutionary anthropology, bone biology, and functional genomics, with recurring themes of mechanical stress response, osteoarthritis mechanisms, and epigenetic regulation across primate species. The research demonstrates methodological innovation through phylogeny-in-a-dish approaches and cross-species organoid systems. Housman's scientific contributions include developing novel skeletal cell culture methodologies for evolutionary studies and advancing understanding of genotype-phenotype relationships in primate skeletons. Her work bridges evolutionary anthropology with biomedical research, particularly in skeletal disease mechanisms. She actively mentors through her research group and collaborates across institutions, with significant contributions to primate genomics methodology development. Her laboratory maintains primary skeletal tissue collections and cell culture systems for comparative studies across multiple primate species.

Jan Eric Lenssenمشاهده پروفایل

پژوهشگر

• Computer Vision
• Machine Learning
• 3D Reconstruction
• +۴ مورد دیگر

Jan Eric Lenssen is a Senior Researcher at the Max Planck Institute for Informatics leading the Geometric Representation Learning Group , and a Founding Engineer at Kumo.ai . He holds a Dr.-Ing. in Computer Science from TU Dortmund University (2022) and has conducted research internships at Facebook Reality Labs and Nnaisense. Affiliations: ELLIS Unit Faculty Member and Saarland Informatics Campus Fellow Education: PhD under Prof. Heinrich Müller, TU Dortmund (2022) His research focuses on differentiable algorithms , neural fields , and graph-based methods for 3D perception and generative modeling. Key contributions include frameworks like SplineCNN , PyTorch Geometric , and methods for scalable 3D reconstruction, human-object interaction modeling, and relational deep learning. Publications span top venues ( CVPR, ECCV, ICCV, NeurIPS ) with highlights including Best Paper Honorable Mention (ECCV 2022) and Best Paper Award (BIOSIGNALS 2018) . He co-founded the RelBench benchmark for relational database learning and leads development of geometric deep learning tools. Key Labs/Teams: Geometric Representation Learning Group (MPI), Kumo.ai Research Team, and the Computer Vision and Machine Learning department at MPI.

• Cosmology
• Large Scale Structure
• Inflation
• +۵ مورد دیگر

Guadalupe Cañas Herrera is a Research Fellow at the European Space Agency (ESA) , specializing in Theoretical Cosmology . She is a key member of the Euclid Consortium and a software developer for the CLOE (Cosmology Likelihood for Observables in Euclid) project, which is part of ESA's official data analysis pipeline for cosmological constraints. Her research focuses on statistical analysis of beyond-Standard cosmological models to study dark energy, dark matter, and primordial density perturbations, using data such as the Cosmic Microwave Background, weak lensing, and galaxy clustering. She also explores forecasting techniques for novel observables like gravitational waves and machine learning applications in cosmological inference. Collaborations : Euclid Consortium, Osservatorio Astronomico di Roma, University of Amsterdam, Leiden Observatory, Lorentz Institute for Theoretical Physics, University of Cantabria. Contact : guadalupe.canasherrera@esa.int Her work bridges theoretical cosmology with advanced statistical methods and software development, aiming to unravel the universe's origins and evolution through precision data analysis.

Sandra Schmöckelمشاهده پروفایل

استاد

• Plant Physiology
• Abiotic Stress Tolerance
• Salinity Stress
• +۶ مورد دیگر

Prof. Dr. Sandra Schmöckel is a Full Professor (W3, tenured) at the Physiology of Yield Stability department, University of Hohenheim, Germany. Her research bridges plant physiology, genetics, and climate resilience to address abiotic stresses in crops. Education: PhD in Cellular and Molecular Biology, University of Adelaide (2010) Master of Science in Cellular and Molecular Biology, University of Potsdam (2008) Bachelor of Science in Molecular Biology/Physiology, University of Potsdam (2005) Research Focus: Prof. Schmöckel investigates mechanisms of plant tolerance to salinity, drought, and heat stress. Her work integrates protein characterization, signaling pathways, field trials, and genomic approaches, with a particular emphasis on crops like quinoa and tomatoes. She explores transmembrane transporters, NAC transcription factors, and lipidomic responses to enhance yield stability under climate change scenarios. Publications & Trends: Her recent articles highlight quinoa genomics, saponin biosynthesis, and drought/heat stress responses in maize and Arabidopsis. Key themes include transcription factor roles (e.g., NAC, bHLH), genome assembly techniques, and metabolic profiling for stress adaptation. Scientific Engagement: German University Association (since 2017) German Plant Breeding Society (since 2017) Associate Editor, Plant Methods (since 2017)

• Bilingualism/multilingualism
• Interlanguage and English as a third language
• Morpho-syntactic phenomena
• +۳ مورد دیگر

Emine Aşcı is a Lecturer at the University of Siegen's Faculty I of English Studies, specializing in Linguistics. She holds a Master of Education (M. Ed.) and is conducting a PhD project focused on the effects of native languages (L1s) on genitive variation in English. Her research examines differences in genitive preference and processing among native speakers, monolingual learners, and bilingual learners using experimental and corpus-based methods. Current teaching includes Morphology and Syntax courses. Research Interests: Bilingualism and multilingualism Interlanguage phenomena in English as a third language Morpho-syntactic variation and corpus linguistics Awards: House of Young Talents Scholarship (University of Siegen, 2021–2024) Teaching: Winter 2021/22: Morphology Summer 2023: Syntax Winter 2023/24: Morphology Research Contributions: Presentations include discussions on bilingual influences on grammatical variation at the English Linguistics Colloquium (2022), House of Young Talents Colloquium (2022), and international conferences in České Budějovice (2023) and Potsdam (2023).

Anne Schachtمشاهده پروفایل

استاد

• Affective Neuroscience
• Psychophysiology
• Cognitive Psychology
• +۴ مورد دیگر

Prof. Dr. Anne Schacht is a Professor of Cognition, Emotion and Behavior at the Institute of Psychology, University of Goettingen (since 2023). Her research focuses on the interplay between motivational, emotional, and social factors in cognition and behavior, employing multi-method approaches including EEG, eye-tracking, and neuroendocrinology. She holds GGNB affiliations in Sensory and Motor Neuroscience, Systems Neuroscience, and Theoretical Neuroscience. Education and Career: 2011: Habilitation in Psychology, Humboldt University Berlin 2008: PhD (Dr. rer. nat.) in Psychology, Humboldt University Berlin Prior roles include Junior Professor (2010-2016) and Visiting Professorships at institutions like University of Geneva and University of Potsdam Research Interests: Motivational/emotional impacts on perception Moral judgments and social communication Cognition in social contexts and face processing Associative learning and hormone-cognition interactions Publications: Recent work explores emotion regulation flexibility, social foraging dynamics, and neural correlates of facial expression perception. Her methods integrate ERP studies with eye-tracking and physiological measures. Affiliations: Her lab's homepage is here . She coordinates the Affective Neuroscience and Psychophysiology group.

Casey Paquolaمشاهده پروفایل

پژوهشگر

• Neurodevelopment
• Neuroimaging
• Computational Neuroscience
• +۳ مورد دیگر

Dr. Casey Paquola leads the Multiscale Neurodevelopment Team at the Institute of Neuroscience and Medicine (INM-7), Research Center Jülich. His research focuses on understanding neurodevelopmental processes through multiscale frameworks that integrate postmortem histology, transcriptomics, and in vivo neuroimaging (e.g., MRI, EEG). The team studies cytoarchitecture maturation, connectivity, and functional dynamics across early life to elucidate mechanisms of neurodevelopmental disorders. Their work emphasizes microstructure as a bridge between postmortem and in vivo data, identifying principles like large-scale cortical gradients. Research methods include microscopy, neuroimaging, and computational modeling to construct brain models. Key areas of study include the default mode network, epilepsy-related brain changes, and the interplay between genetics and brain structure. The team develops tools like BrainSpace and Micapipe for analyzing structural-functional relationships in neuroimaging datasets. Led initiatives: ENIGMA-Toolbox for transdiagnostic analysis, BrainStat for statistical neuroimaging analysis. Focus areas: Cortical development gradients, functional resilience, and translational neuroimaging. Collaborations: Multidisciplinary teams combining computational, clinical, and experimental neuroscience. Future work aims to advance precision medicine through personalized brain mapping and understanding neurodevelopmental disorders' multiscale origins.

Sevag Gharibianمشاهده پروفایل

استاد

• Quantum Computing
• Quantum Complexity Theory
• Quantum Algorithms
• +۳ مورد دیگر

Sevag Gharibian is a Professor (W2) at Paderborn University's Department of Computer Science, affiliated with the Faculty of Computer Science, Electrical Engineering and Mathematics, and the Institute for Photonic Quantum Systems (PhoQS). He holds a D. Phil. from the University of Waterloo (2012) and has held academic positions at Virginia Commonwealth University (2014-2018) and postdoctoral roles at UC Berkeley and the University of Illinois at Chicago. His research focuses on quantum complexity theory, quantum algorithms, and quantum Hamiltonian complexity. Education Doctorate (D. Phil., 2012): University of Waterloo, Canada M. Math (2008): University of Waterloo B. Sc. Computer Science (Co-op, 2005): University of Waterloo Research Interests His work bridges quantum computing and computational complexity, exploring topics like quantum Hamiltonian complexity, quantum algorithms, and the limits of quantum computation. He emphasizes theoretical foundations, including the complexity of quantum satisfiability problems and oracle-based separations between complexity classes. Publications Gharibian's recent work addresses quantum algorithmic challenges (e.g., Hamiltonian simulation, variational methods) and foundational questions in quantum complexity theory. His 2023 papers on oracle separations and multi-prover interactive proofs highlight advancements in understanding quantum vs. classical computational boundaries. Awards and Honors Good Practices Digital Teaching Distinction (2020), Paderborn University Teaching Excellence Awards (2016-2017), Virginia Commonwealth University NSERC Banting Postdoctoral Fellowship (2013-2014) Advising & Grants He leads projects like PhoQuant (photonic quantum computing platforms) and chairs major conferences (e.g., ICALP 2023). His editorial roles include Coordinating Editor for Quantum (2021-present). Labs & Teams He heads the Quantum Computation group at Paderborn University and collaborates with the Institute for Photonic Quantum Systems (PhoQS).

Marie-Theres Weißgerberمشاهده پروفایل

پژوهشگر

• Phonetics
• Sociolinguistics
• Corpus Linguistics
• +۳ مورد دیگر

Marie-Theres Weißgerber is a doctoral researcher at Humboldt University of Berlin, affiliated with the Institute for German Language and Linguistics. Her work is centered on project C06 ( Seemingly Free (Morpho)Phonetic Variation ) within the Integrated Graduate School. Research interests include: Phonetic and phonological variation in spontaneous speech Register effects on morphological production Corpus-based analysis of German inflectional suffixes Interaction between stress, phonetic context, and schwa realization Audio analysis of conversational registers Recent publications focus on schwa optionality in German verbal inflection, analyzed through three corpora. Key themes include register-induced variation, phoneme reduction patterns, and the interplay of phonetic context with morphological stability. Contact: marie-theres.weissgerber@hu-berlin.de

• German Morphosyntax
• Written Language Analysis
• Grammar-Graphemics Interface
• +۳ مورد دیگر

Prof. Dr. Roland Schäfer is a Professor at the Friedrich-Schiller-Universität Jena, affiliated with the Institut für Germanistische Sprachwissenschaft. He holds a 'venia legendi' in German Linguistics and Theoretical Linguistics from Humboldt-Universität zu Berlin and is a Privatdozent. His research focuses on German morphosyntax, written language variation, and the interface between grammar and graphemics. He has led DFG-funded projects on web-based German grammar analysis and created the COW web corpora. Research interests include statistical methods, large-scale data analysis, and empirical approaches to linguistic variation. He emphasizes teaching methodology for future German teachers, particularly linguistic knowledge in language acquisition and register awareness. His work integrates corpus linguistic and experimental methods, with a recent focus on register variation across historical and modal contexts. Publications highlight studies on German noun+verb units, register phenomena in historical texts, and cognitive modeling of linguistic variation. While no specific awards are listed, his contributions to corpus development and register theory are widely recognized. He advises on projects like the CRC 1412 'Register: Language Users’ Knowledge of Situational-Functional Variation' and collaborates on initiatives such as the RegiL corpus for Martin Luther's texts.

Elina Takolaمشاهده پروفایل

پژوهشگر

• Ecology
• Conservation Biology
• Meta-Analysis
• +۴ مورد دیگر

Dr. Elina Takola is a Greek ecologist and meta-analyst leading the BIOECOS group at the Helmholtz Centre for Environmental Research (UFZ) in Leipzig, Germany. Her research focuses on cross-scale data syntheses to explore organism-environment relationships, with a strong commitment to open science principles. She holds a PhD from Friedrich-Schiller University of Jena (2022) and has conducted research at institutions including the University of Glasgow and Aristotle University of Thessaloniki. Her work bridges theoretical ecology and applied conservation, emphasizing evidence-based approaches to biodiversity and sustainable land use. Affiliations: Helmholtz-Zentrum für Umweltforschung (UFZ), Department of Computational Landscape Ecology Education: PhD in Ecology (FSU Jena, 2022), MSc/BS in Forestry & Natural Environment (Aristotle U, 2016/2010) Her research interests include meta-analyses, ecological niche theory, landscape heterogeneity, and conservation strategies. She co-leads the Open CLE Forum, fostering interdisciplinary dialogue at UFZ. Notable awards include a 2021 GfÖ poster prize and commendations for academic excellence in Greece. Recent projects include global meta-analyses of sustainable agriculture impacts and software development (e.g., decimatoR). Teaching roles span universities in Germany and Greece, with courses on ecological concepts and evidence synthesis methods.

• Permafrost
• Submarine Permafrost
• Coastal Geomorphodynamics
• +۳ مورد دیگر

Dr. Pier Paul Overduin is a Senior Scientist at the Alfred Wegener Institute (AWI), specializing in permafrost research. His work focuses on subsea permafrost dynamics, coastal geomorphology, and geophysical methods applied to Arctic environments. He leads the Hydrochemistry laboratory at AWI's Potsdam branch and co-coordinates the Horizon 2020 EU Project Nunataryuk , investigating permafrost thaw impacts on Arctic coasts and socioeconomic adaptation strategies. Overduin is also involved in the MOSES project, developing modular observation systems for Earth systems research. His research interests include submarine and terrestrial permafrost, coastal erosion processes, and the application of geophysical techniques like electrical resistivity tomography (ERT). Key projects involve mapping subsea permafrost in regions such as the Laptev Sea and Lena Delta, studying methane dynamics in thermokarst lakes, and analyzing organic carbon fluxes in Arctic river deltas. Overduin has contributed to high-resolution bathymetry models of Arctic coastal zones and investigates the interplay between permafrost degradation and coastal stability. Overduin’s work bridges field observations, laboratory analysis, and numerical modeling to understand climate-driven changes in Arctic systems. His publications address topics such as subsea permafrost thermal regimes, organic matter transport in river systems, and the implications of thawing permafrost for carbon cycling and coastal communities.

• Quantum Computing
• Optimization Methods
• Smart Grid Technologies
• +۵ مورد دیگر

Junpeng Zhan is an Assistant Professor of Renewable Energy Engineering at the Inamori School of Engineering, Alfred University, NY, USA. He holds a Ph.D. and B.Sc. in Electrical Engineering from Zhejiang University (2014 and 2009). Before joining Alfred, he worked as a Research Associate at Brookhaven National Laboratory (2018–2020), a Postdoctoral Fellow at the University of Saskatchewan and Hong Kong Polytechnic University, and a Visiting Research Assistant at the University of Liverpool. His research focuses on quantum computing, optimization methods, smart grid technologies, machine learning, and renewable energy integration. Notable contributions include developing the Quantum Feasibility Labeling algorithm and the hybrid Variational Quantum Search, which address NP-complete problems like the Vertex Coloring problem. He currently leads NSF-funded projects on variational quantum algorithms for power system simulation and ISO-New England-funded work on quantum computing for unit commitment. Zhan is an Associate Editor of IET Generation, Transmission & Distribution and actively reviews for 20+ journals. His grants include $199,980 from the NSF (2022), $50,000 from ISO-New England (2024–2026), and a co-PI role in a $1.37M NYSERDA-funded workforce training initiative. His work bridges fundamental research and practical energy system challenges, emphasizing computational innovation and scalability. Labs and collaborations include the Engineering Laboratories at Alfred University, with partnerships extending to institutions like RIT and GE. His teaching spans courses in power systems, Python for research, and mechatronics.

Marita Thomasمشاهده پروفایل

استاد

• Material Modeling
• Damage Mechanics
• Fracture Mechanics
• +۵ مورد دیگر

Marita Thomas is a Professor (W2) for Applied Analysis at Freie Universität Berlin since August 2022 and Head of the Weierstrass group 'Bulk-Interface Processes' at the Weierstrass Institute since April 2017. She holds a PhD in Mathematics from Humboldt-Universität zu Berlin (2010) and a Diplom in Mathematics (with application to chemistry) from the University of Stuttgart (2006). Her research focuses on material modeling, damage and fracture mechanics, variational methods, and the coupling of optoelectronics with thermomechanics. She has led numerous projects including those within CRC 1114 'Scaling Cascades in Complex Systems' and the Berlin Mathematics Research Center MATH+. Education: PhD in Mathematics (Humboldt-Universität, 2010); Diplom in Mathematics (University of Stuttgart, 2006) Key Projects: Materials with discontinuities on multiple scales, Interface dynamics bridging stochastic and hydrodynamic descriptions, Dynamics of rock dehydration Her research integrates analytical approaches with numerical simulations, addressing challenges in continuum mechanics, phase-field fracture, and optoelectronic device optimization. She has organized international workshops and minisymposia, including the Thematic Einstein Semester on Energy-based Mathematical Methods.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۴ مورد دیگر

Yang Wang represents a collective of over 200 active researchers across global institutions, primarily affiliated with Chinese universities and research centers including the Chinese Academy of Sciences, Tsinghua University, and Peking University, as well as international institutions in the United States, Australia, and Europe. This disambiguation reflects the commonality of the name among Chinese academics, with these researchers collectively contributing to numerous fields of study. Research interests demonstrate remarkable breadth across disciplines: Artificial Intelligence and Machine Learning methodologies Computer Vision and Image Processing techniques Power Systems Engineering and Optimization Medical Imaging and Healthcare Applications Network Security and Data Privacy solutions Environmental Monitoring through Remote Sensing The collective research output shows strong interdisciplinary collaboration, with recent work focusing on practical implementations of AI across transportation systems, medical diagnostics, energy optimization, and environmental monitoring. Publication patterns indicate active research programs with substantial contributions to both theoretical advancements and real-world applications. Notable research contributions include: Advanced fault diagnosis systems for railway infrastructure Urban green space monitoring through satellite imagery Medical imaging analysis for cancer risk assessment Novel power system optimization techniques Secure communication protocols and data privacy mechanisms Next-generation semiconductor device development These researchers maintain active collaborations across multiple institutions worldwide, evidenced by co-authorship patterns spanning continents. The consistent publication record in high-impact journals and conferences across multiple domains demonstrates significant scholarly impact despite the name ambiguity.