جست‌وجوی استاد و پژوهشگر

• Computational Drug Repositioning
• Protein Structure Analysis
• Machine Learning
• +۵ مورد دیگر

Professor Michael Schroeder is a Professor in Bioinformatics at the Biotechnology Center (BIOTEC) and Department of Computing at Technische Universität Dresden. He serves as Director of the Biotechnology Center since 2012, with specific periods as Director (2012-2014, 2019-2021), and Director of the Center for Molecular and Cellular Bioengineering (CMCB) from 2022-2023. He is also CSO of Transinsight.com since 2006 and co-founder of PharmAI GmbH since 2019. His research focuses on developing machine learning algorithms exploiting large protein structure and sequence data to improve diagnosis and treatment of disease. Key areas include: Computational drug repositioning using networks, structures, text, and ontologies Pancreas cancer drug and biomarker prediction through AI analysis of blood samples (90%+ accuracy) Antibiotic resistance analysis in wastewater E. coli through genomic variations Development of novel lead compounds for cancer chemotherapy resistance, autoimmune disease, and Chagas disease Prof. Schroeder's publication record demonstrates consistent application of network analysis, structural bioinformatics, and machine learning to solve biomedical problems, with particular emphasis on pancreatic cancer and drug repositioning. His work bridges computational approaches with experimental validation through collaborations with medical researchers. Notable achievements include: Publication of over 230 scientific papers Hirsch index over 45 on Google Scholar Two granted patents Development of PLIP, a widely used open-source tool for analyzing molecular interactions Co-founding pharmAI GmbH, focusing on structure-based drug-target prediction Prof. Schroeder has supervised over 25 PhD students, with 10 receiving distinctions. Eight former group members have become professors or group leaders. His lab is currently funded by multiple projects including Kiwi, Ebira, and Scads.ai from BMBF, as well as EU and DFG grants. The Schroeder Group maintains extensive collaborations worldwide, including Yves Moreau (Leuven) for autoimmune disease research, Gildardo Rivera Sanchez (Reynosa) for Chagas disease, and Christian Pilarsky (Erlangen) for cancer research, demonstrating his strong international network and interdisciplinary approach.

• AI Security
• AI Safety & Alignment
• AI & Society
• +۷ مورد دیگر

Sahar Abdelnabi is a Principal Investigator at the ELLIS Institute Tübingen and an independent research group leader at the Max-Planck Institute for Intelligent Systems and Tübingen AI Center. She leads the COMPASS (COoperative Machine intelligence for People-Aligned Safe Systems) research group, focusing on developing safe, aligned, and steerable AI agents with emphasis on security, human aspects, and cooperative multi-agent systems. Her research spans the intersection of AI with security, safety, and sociopolitical aspects: Understanding, probing, and evaluating the failure modes of AI models, their biases, emergent risks, and misuse scenarios Designing mitigations, system defenses, white-box control methods, and reasoning enhancements to counter such risks Leveraging AI agents for scientific discovery and advancing society Dr. Abdelnabi's research has identified critical vulnerabilities in AI systems, including being the first to identify, coin, and taxonomize the indirect prompt injection vulnerability in LLM-integrated applications (2023), and proposing watermarking for generative AI (2020). Her work has received significant recognition including a Best Paper Award at ACL2025 and AISec'23 workshop. Her scientific contributions have been widely recognized: Best Paper Award at ACL2025 for "A Theory of Response Sampling in LLMs" Best Paper Award at AISec'23 workshop for "Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection" Oral Paper presentation at ICCV 2021 Spotlight Paper at NeurIPS Datasets and Benchmarks 2024 Dr. Abdelnabi actively mentors students and researchers, hiring across all levels including interns, research visitors, PhD students, and postdocs. She has served on program committees for major AI and security conferences and has presented her work at numerous international venues. Her research has influenced policy and industry practices, with findings adopted by organizations including the German Federal Office for Information Security, NIST, and OWASP. The COMPASS research group provides a dynamic environment for exploring cutting-edge questions in AI safety and security, with opportunities for collaboration across institutions and disciplines.

• Proteomics
• Mass Spectrometry
• Biochemistry
• +۳ مورد دیگر

Karl Mechtler has led the Protein Chemistry Facility at the Research Institute of Molecular Pathology (IMP) in Vienna, Austria since 1989. As Head of Facility, he directs research operations focused on advanced mass spectrometry applications in molecular and cellular biology. His facility provides critical infrastructure for proteomic analysis while conducting innovative research in protein chemistry methodologies. Mechtler's core research interests center on: Developing high-sensitivity mass spectrometry techniques Advancing crosslinking approaches for structural proteomics Optimizing single-cell proteomic workflows Analyzing posttranslational modifications Creating bioinformatic solutions for proteome analysis Improving quantitative accuracy in multiplexed proteomics Recent publications demonstrate his lab's focus on pushing technical boundaries in proteomics, with 2024-2025 research featuring innovations in Orbitrap Astral applications, FAIMS technology for peptide coverage, AI-driven data analysis, and novel crosslinking strategies. These methodological advances enable new biological insights into areas ranging from chromatin dynamics to neurological disorders. His research is supported by active grants including: 'Delineating the crossover control networks in plants' (German Research Foundation, ongoing since 2014) 'SFB F3402-B03: Chromosome dynamics' (Austrian Science Fund FWF) Mechtler leads the Protein Chemistry Facility at IMP, which maintains an active web presence detailing its research focus and capabilities. The lab specializes in developing cutting-edge mass spectrometry solutions for challenging biological questions.

Ryan Renslowمشاهده پروفایل

دانشیار

• Metabolomics
• Chemical Biology
• Exposure Science
• +۴ مورد دیگر

Ryan Renslow serves as a Chemical Engineer at Pacific Northwest National Laboratory (PNNL) and holds a Research Associate Professor position at Washington State University's Gene and Linda Voiland School of Chemical Engineering and Bioengineering. His interdisciplinary work bridges computational modeling, advanced imaging, and experimental biology to address complex challenges in metabolomics and microbial systems. Education BS in Chemical Engineering, Washington State University MS in Chemical Engineering, Washington State University PhD in Chemical Engineering, Washington State University Linus Pauling Distinguished Postdoctoral Fellowship, Pacific Northwest National Laboratory Renslow's research centers on identifying novel metabolites in complex biological samples, deciphering microbial community structure-function relationships, and understanding emergent properties in multispecies systems. He employs computational mathematics, machine learning, and high-resolution imaging techniques including mass spectrometry and nuclear magnetic resonance. His work spans diverse applications from human health diagnostics and bioenergy production to ecological monitoring and national defense solutions, with particular emphasis on biofilm dynamics and metabolite characterization in challenging environments. Analysis of his recent publications reveals a strong trend toward integrating ion mobility spectrometry with computational modeling for metabolite identification, developing in silico libraries for small molecule annotation, and applying machine vision to biological systems. His work consistently demonstrates cross-cutting applications across energy, environmental science, and biomedical research through sophisticated data analysis frameworks. Scientific Awards: No awards listed in available documentation. Renslow's collaborative research program involves extensive partnerships across PNNL's Environmental Molecular Sciences Laboratory and Washington State University. His work receives institutional support through DOE-funded initiatives focused on chemical biology and exposure science, with emphasis on developing advanced analytical capabilities for complex sample analysis. While specific grant details aren't provided, his publication record indicates consistent funding for interdisciplinary projects combining experimental and computational approaches. At PNNL, Renslow contributes to the Chemical Biology and Exposure Science group within the Biological Sciences division. He leverages specialized facilities including high-field mass spectrometers, nuclear magnetic resonance microimaging systems, and biofilm reactors to investigate microbial community dynamics. His research team integrates expertise from chemical engineering, microbiology, and computational science to develop novel approaches for characterizing complex biological systems at multiple scales.

Alfred Hößمشاهده پروفایل

استاد

• Autonomous Driving
• Automotive Electronics
• Electric Mobility
• +۶ مورد دیگر

Prof. Dr. Alfred Höß is a Professor of Electrical Engineering at the Amberg-Weiden University of Applied Sciences, where he has served since 1995. He chairs the examination committee for multiple engineering programs including Electrical and Information Technology, Software Systems Technology, and Industrial IT. His academic leadership extends through over a decade of service on the university senate and various planning committees. Dr. Höß completed his electrical engineering studies at Friedrich-Alexander-Universität Erlangen-Nürnberg (1983-1987), earning his diploma with distinction in 1988. He earned his PhD from Ruhr-Universität Bochum in 1991 with distinction, followed by industry experience at Siemens AG in both medical and automotive divisions before joining academia. Friedrich-Alexander-Universität Erlangen-Nürnberg: Electrical Engineering (1983-1987) Ruhr-Universität Bochum: PhD in High-Frequency Technology (1988-1991) His research spans cutting-edge automotive technologies with particular focus on autonomous driving systems, electric mobility solutions, and wireless communication architectures. Dr. Höß leads multiple EU-funded research projects including Archimedes, AI4CSM, AUTBUS, and Powerized, with emphasis on practical implementations for real-world transportation challenges. His work integrates artificial intelligence with edge computing to solve complex problems in vehicle communication, battery management, and autonomous navigation systems. His publication portfolio demonstrates strong emphasis on practical applications of machine learning in automotive contexts, particularly in range prediction for electric vehicles, federated learning for battery management, and communication systems for autonomous vehicles operating in challenging environments. His research shows consistent progression from fundamental electrical engineering principles to advanced AI integration in transportation systems. Dr. Höß has received notable academic recognition including the Diplompreis Elektrotechnik in 1988 and the Gebrüder-Eickhoff-Preis in 1992 for his doctoral work. Diplompreis Elektrotechnik (1988) Gebrüder-Eickhoff-Preis (1992) He actively mentors numerous graduate students across multiple research projects, supervising master's theses and research assistantships. His laboratory for electrical measurement technology serves as the foundation for hands-on student research. Dr. Höß secures substantial research funding through EU projects and industry collaborations, focusing on practical implementations of advanced automotive technologies. His administrative leadership includes chairing examination committees for multiple engineering programs, demonstrating his commitment to academic excellence and curriculum development. Dr. Höß directs the Electrical Measurement Technology Laboratory at Amberg-Weiden UAS, which serves as the primary research facility for his automotive electronics work. His research teams collaborate across multiple EU-funded projects including ADACORSA for drone communications, PRYSTINE for programmable automotive intelligence systems, and AUTBUS for rural autonomous transportation solutions. These interdisciplinary teams combine expertise in electrical engineering, computer science, and applied mathematics to tackle complex challenges in modern mobility systems.

• Control Theory
• Model Predictive Control
• Data-Driven Control
• +۵ مورد دیگر

Frank Allgöwer is a Professor and Head of the Institute for Systems Theory and Control Engineering at the University of Stuttgart's Faculty of Engineering. With an extensive publication record through 2025, he leads a prominent research group specializing in advanced control theory methodologies. His research interests span multiple domains of modern control theory, with particular emphasis on Model Predictive Control (MPC), data-driven control approaches, nonlinear systems analysis, and event-triggered control strategies. His work bridges theoretical foundations with practical implementations, focusing on stability guarantees, performance optimization, and computational efficiency. Recent research shows a strong focus on Koopman operator theory applications to control systems, distributed multi-agent coordination, and the integration of machine learning techniques with traditional control frameworks. Analysis of his 15 most recent publications reveals a consistent research trajectory centered around developing theoretically sound control methodologies with practical applicability. His work demonstrates increasing integration of data-driven approaches with traditional model-based control, particularly in the areas of nonlinear system control and distributed multi-agent systems. The publications span top-tier control journals including IEEE Transactions on Automatic Control, Automatica, and IEEE Control Systems Letters. Professor Allgöwer actively mentors numerous junior researchers, with frequent collaborations suggesting a strong supervisory role for PhD students and postdoctoral researchers. His group maintains productive international collaborations while being firmly rooted at the University of Stuttgart.

• Industrial Organization
• Consumer Choice
• Marketing Strategy
• +۷ مورد دیگر

Xinlei Chen serves as Professor of Marketing at Cheung Kong Graduate School of Business (CKGSB), with prior faculty appointments at Shanghai Advanced Institute of Finance (SAIF) and University of British Columbia. His academic foundation includes a B.E. from Tsinghua University and Ph.D. in Marketing from University of Minnesota. His educational background features: B.E. in Engineering, Tsinghua University Ph.D. in Marketing, University of Minnesota (Carlson School) Chen's research centers on empirical industrial organization and consumer decision modeling, with specific expertise in pricing strategy, advertising effectiveness, channel management, and entertainment economics. His work bridges theoretical structural modeling with real-world applications in digital platforms, video gaming, and social networks, emphasizing how consumers process information and firms optimize competitive strategies in dynamic markets. Recent investigations examine gender dynamics in online competition and advertising spillovers in short-form video ecosystems. Analysis of his publication trajectory reveals consistent focus on marketing science fundamentals while evolving toward digital economy applications. Early work established foundations in movie economics and private label competition, transitioning to contemporary investigations of platform markets, mobile advertising fraud, and social network effects. His methodology combines rigorous econometric techniques with field experiments, particularly evident in 2025 ByteDance research and mobile ad fraud studies. His scientific recognition includes: MSI Young Scholar (2009) Two-time Long Term Impact Award Finalist (Society for Marketing Science, 2018 & 2020) Carlson School Dissertation Award (2003-2004) Multiple doctoral consortium fellowships (INFORMS, AMA-Sheth) Chen demonstrates extensive teaching impact across executive education, MBA, and doctoral programs at CKGSB, SAIF, and UBC, complemented by industry experience as project manager at ABB and China-Machine Building International. His business-oriented scholarship extends to authored books on Chinese internet markets and regular commentary in major business media. Current research activities include field experiments on cross-media advertising and pandemic exercise behavior through digital platforms.

Markus Zengerمشاهده پروفایل

استاد

• Health Psychology
• Psychometrics
• Longitudinal Studies
• +۷ مورد دیگر

Professor Markus Zenger is a Professor of Differential and Personality Psychology at Hochschule Magdeburg-Stendal, where he has held a full professorship since 2016. His academic journey includes a habilitation at Friedrich-Schiller-University Jena (2020), a PhD from the University of Leipzig (2010, summa cum laude), and psychology studies at the same institution (2000-2007). He also completed training as a systemic therapist (2010-2013). His institutional affiliations span Hochschule Magdeburg-Stendal (current), University Medicine Leipzig (2007-2015), and Friedrich-Schiller-University Jena (habilitation). Professor Zenger's research centers on health psychology, psychometrics, and longitudinal studies, with a special focus on psychological resources and health. His work involves conducting representative population surveys across Germany, psychometric validation of assessment tools, and applying structural equation models to complex datasets. Key research areas include unemployment and mental health, political attitudes (particularly regarding German reunification), psycho-oncology, quality of life, psychosocial stress, care needs, and response shift phenomena. He has been deeply involved with the Saxon Longitudinal Study since 2007, which tracks psychological and social changes following German reunification. His extensive publication record demonstrates expertise in psychometric validation, with numerous articles developing and testing short-form psychological assessment instruments. His work often bridges clinical psychology and population health, creating practical yet scientifically rigorous tools for measuring psychological constructs in large samples. Professor Zenger has received the Sabine-Grüsser-Sinopoli Prize for young scientific researchers from the German Society for Medical Psychology (2010), recognizing his early contributions to the field. Sabine-Grüsser-Sinopoli Prize for young scientific researchers (2010) Extensive publication record in top psychology and medical journals Significant contributions to psychometric validation of assessment tools Long-term involvement with the Saxon Longitudinal Study Professor Zenger serves as a reviewer for numerous prestigious journals including Psychological Assessment, Journal of Individual Differences, and Quality of Life Research. His memberships include the German Society for Medical Psychology (DGMP), International Test Commission (ITC), and German Society for Systemic Therapy, Counseling and Family Therapy (DGSF). His work combines rigorous methodological expertise with practical applications for understanding psychological health in population contexts.

Gesine Richterمشاهده پروفایل

پژوهشگر

• Medical Ethics
• Research Ethics
• Biobanking
• +۳ مورد دیگر

Gesine Richter is a Researcher at the Institute of Experimental Medicine within the Faculty of Medicine at Kiel University, specializing in the ethical, legal, and social dimensions of medical data and biobanking. Holding a doctorate in medicine (Dr. rer. medic.), an MA in political science, and an MBA in higher education management, she bridges clinical, legal, and administrative perspectives in health research ethics. Her educational background includes: Doctorate in Medicine (Dr. rer. medic.) Master of Arts in Political Science MBA in Higher Education and Science Management Richter's research centers on consent frameworks for secondary medical data use, with emphasis on biobank governance, data donation models, and pediatric/adolescent inclusion. She investigates public and patient attitudes toward data sharing, ethical challenges in public-private health data partnerships, and cross-national regulatory comparisons. Her work directly informs policy through advisory roles for the University Hospital of Schleswig-Holstein's biobanks and Kiel Medical Faculty researchers. Analysis of her 2018-2024 publications reveals consistent focus on consent innovation (broad consent, dynamic models), societal trust in data reuse, and ethical infrastructure for health data ecosystems. Her interdisciplinary approach spans bioethics, health informatics, and public policy, employing mixed-methods surveys to address tensions between research advancement and individual privacy across German and international contexts. As an active member of the Institute of Experimental Medicine's working group, Richter contributes to projects in medical ethics, clinical ethics consultation, and evolutionary medicine. She provides critical research ethics guidance to institutional biobanks and scientists, shaping responsible data practices in Schleswig-Holstein's medical research landscape.

• Proteomics
• Mass Spectrometry
• Protein Biochemistry
• +۶ مورد دیگر

TuKiet Lam is a Research Scientist and Director of the Keck MS & Proteomics Resource at Yale School of Medicine's Department of Molecular Biophysics and Biochemistry. He holds joint leadership of the Discovery Proteomics Core of the Yale/NIDA Neuroproteomics Center and is affiliated with Yale Cancer Center's Cancer Signaling Networks Program. Dr. Lam's research focuses on advanced mass spectrometry applications in proteomics and metabolomics. Key areas include: Protein identification and quantitative profiling in complex biological systems Analysis of posttranslational modifications (phosphorylation, ubiquitination, palmitoylation) Biomarker discovery for neurological disorders and cancers Development of novel mass spectrometry workflows His work spans diverse samples including brain tissue, cerebrospinal fluid, extracellular vesicles, and clinical specimens. Recent publications demonstrate strong research output in neurodegeneration (Alzheimer's, Parkinson's), oncology (glioblastoma), and substance use disorders. Common themes include subcellular proteomics, extracellular vesicle characterization, and multi-omic approaches integrating proteomic data with transcriptomic and clinical findings. Dr. Lam leads the Keck MS & Proteomics Resource, which provides: High-resolution tandem mass spectrometry services Protein identification and quantification Posttranslational modification analysis Targeted metabolomics The facility supports numerous NIH-funded projects and is equipped with Orbitrap mass spectrometers maintained through NIH S10 grants.

• Immunology
• Dermatology
• Cancer Immunology
• +۱۰ مورد دیگر

Matthew Vesely, MD, PhD is an Assistant Professor of Dermatology at Yale School of Medicine. He holds primary appointments in the Department of Dermatology and is affiliated with multiple Yale programs including the Autoimmune Skin Disease Program, Cancer Immunology Program, Chen Lab, Dermatology Human and Translational Immunology Program, Janeway Society, Psoriasis Treatment Program, Yale Cancer Center, and Yale Medicine. Dr. Vesely is a physician-scientist with specialized training in immunology, molecular biology, genetics, and clinical dermatology. His educational background includes a BS in Biology, Theology, and History from Creighton University (2003), MD and PhD in Immunology from Washington University School of Medicine (2013), internship at Barnes Jewish Hospital (2013-2014), and dermatology residency at Yale School of Medicine (2014-2017). His research focuses on immune inhibitory receptors (immune checkpoints) in autoimmune skin diseases and skin cancer, with particular emphasis on PD-1H/VISTA in cutaneous malignancies and inflammatory skin disorders. The Vesely Lab employs cutting-edge technologies such as spatial proteomics and transcriptomics to analyze human patient samples and mouse models of disease. Primary research areas include autoimmune skin diseases like cutaneous lupus erythematosus and lichen planus, chronic inflammatory conditions like psoriasis and atopic dermatitis, and cancer immune evasion mechanisms in melanoma and cutaneous squamous cell carcinoma. Analysis of Dr. Vesely's publication record shows a strong focus on spatial transcriptomics/proteomics approaches to understand immune checkpoint pathways in skin diseases, with increasing emphasis on translational applications of these findings for therapeutic development. His work bridges fundamental immunology with clinical dermatology to develop new immunotherapeutic strategies. Dr. Vesely has received numerous awards including the Young Physician Scientist Award from the American Society for Clinical Investigation (2025), Dermatology Fellows Award from Melanoma Research Alliance (2019), and Physician-Scientist Career Development Award from the Dermatology Foundation (2019). He currently advises Postgraduate Associate Anjali Jaiswal and Postdoctoral Associate Ummugulsum Yildiz-Altay. His lab receives funding from multiple sources including the Dermatology Foundation, Melanoma Research Alliance, National Center for Advancing Translational Sciences (NCATS), National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), and the Colton Center for Autoimmunity at Yale Ventures. Dr. Vesely is actively recruiting for postdoctoral fellows, graduate students, computational biologists, and experimental staff scientists. The Vesely Lab is located at the West Campus Molecular Innovations Center in West Haven, CT, while his academic office is in the Hunter Building at Yale School of Medicine in New Haven, CT.

Janina Kneippمشاهده پروفایل

استاد

• Surface-Enhanced Raman Scattering
• Plasmonic Catalysis
• Nanoscale Spectroscopy
• +۴ مورد دیگر

Prof. Dr. Janina Kneipp is a Professor (W3) of Physical Chemistry at Humboldt-Universität zu Berlin, where she has led an active research group since 2012. She previously held positions as Assistant Professor at HU Berlin/BAM (2008-2012), Junior Researcher at BAM (2005-2008), and research appointments at Harvard Medical School, Princeton University, and Erasmus Universiteit Rotterdam. Education: Dr. rer. nat. (summa cum laude), Freie Universität Berlin (2002) Undergraduate/Graduate Studies in Biology & Physics, Freie Universität Berlin (1992-1998) Research Focus: Her interdisciplinary work bridges physical chemistry and biospectroscopy, with particular emphasis on: Surface-enhanced Raman scattering (SERS) for complex sample analysis Plasmonic catalysis and hot electron chemistry Multiphoton-excited vibrational spectroscopy Nanoscale biochemical mapping in plant and animal systems Development of advanced plasmonic substrates Publication Trends: Recent work demonstrates strong focus on multimodal spectroscopy applications, with studies combining SERS, hyper-Raman, IR, and synchrotron techniques to address questions in catalysis, nanoparticle-cell interactions, plant biochemistry, and biosensing. Publications frequently incorporate advanced nanomaterials, electrochemical methods, and machine learning-assisted spectral analysis. Scientific Awards: Fellow, European Academy of Sciences (2020) Caroline von Humboldt Professorship (2019) Wilhelm Ostwald Fellow, BAM (2012) Bunsen-Kirchhoff Award, GDCh (2010) ERC Starting Grant (2010) Academic Leadership: Currently advises 5 PhD students and leads multiple collaborative initiatives. Serves as Board Member of Einstein Center Catalysis (since 2019), Head of Chemistry Department (2014-2016), and Speaker of Graduate School SALSA (since 2012). Secured funding through DFG, EU networks, and ERC grants supporting spectroscopy infrastructure development. Lab & Team: Leads the KneippLab research group with 2 postdoctoral researchers, 5 graduate students, and technical staff. Research focuses on developing spectroscopic methods for interrogating biological and chemical processes at nanoscale resolution using plasmonic enhancement strategies.

• Laser Technology
• Optics
• Biophotonics
• +۴ مورد دیگر

Prof. Maria Dienerowitz is a Professor at Ernst Abbe University of Applied Sciences Jena specializing in laser technology and biophotonics. She teaches core courses including Laser Technology, Quantum Optics, and Vacuum Technology across Bachelor's and Master's programs while leading three major research initiatives: BioLOC (Carl-Zeiss-Stiftung-funded Lab-on-a-Chip system for molecular dynamics), OPTO (historical spectacle lens analysis with the German Optical Museum), and TOOLS (DFG-funded tailored optics for life sciences). Her research centers on advanced optical manipulation techniques including the ABEL trap for single-molecule studies without surface binding and holographic optical tweezers for nanoparticle control. Key focus areas encompass real-time enzyme kinetics of molecular motors like F-ATP synthase, single-molecule FRET dynamics , and nanoparticle characterization in biological contexts. This work bridges fundamental physics with biomedical applications through innovations in trapping methodology and optical instrumentation. Analysis of her 15 most recent publications reveals strong continuity in optical trapping methodologies with increasing biomedical applications since 2020. Her work demonstrates consistent contributions to single-molecule biophysics (particularly molecular motor studies), nanoparticle manipulation , and optical instrumentation development , with growing emphasis on life science interfaces evident in her Carl-Zeiss-Stiftung and DFG-funded projects. Prof. Dienerowitz currently oversees a research team comprising scientific staff members working across the BioLOC, OPTO, and TOOLS projects, including Dr. Jakub Malohlava (TOOLS), Maryam Shahrezaei (BioLoc), and Frederic Braun (TOOLS). Her laboratory infrastructure supports optical trap development, nanoparticle characterization, and molecular dynamics studies through equipment funded by the Carl-Zeiss-Stiftung and German Research Foundation.

• Computational mechanics
• Finite element method
• Uncertainty quantification
• +۶ مورد دیگر

Prof. Dr.-Ing. habil. Kai Willner is a distinguished Professor at the Chair of Engineering Mechanics within the Department of Mechanical Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). His research spans multiple domains of computational mechanics with significant contributions to structural dynamics, uncertainty quantification, and biomechanics. His current work focuses on innovative applications of fuzzy arithmetic in engineering systems and the mechanics of brain tissue. Principal Investigator for SFB 1540 EBM (Erforschung der Mechanik des Gehirns) Lead researcher on multiple DFG-funded projects including polymorphic uncertainty modeling Active participant in international collaborations on structural dynamics Member of the research group FOR 2271 on process-oriented tolerance management Willner's research interests center on computational mechanics with emphasis on uncertainty quantification , fuzzy-stochastic finite element methods , contact mechanics , and brain biomechanics . His work addresses fundamental challenges in modeling systems with uncertain parameters, particularly in heterogeneous materials and biological systems. His research group develops advanced computational frameworks that integrate fuzzy arithmetic with traditional finite element methods to handle epistemic and aleatoric uncertainties simultaneously, with applications ranging from microstructural analysis to brain mechanics. Analysis of his recent publications reveals a strong trend toward interdisciplinary research, particularly at the intersection of computational mechanics and neuroscience. His work on brain mechanics within the SFB 1540 EBM project represents a significant shift toward biomedical applications of traditional mechanical engineering methods. His publications consistently demonstrate expertise in vibration analysis, structural dynamics, and uncertainty quantification, with increasing focus on applying these methods to biological systems and complex material behaviors. Prof. Willner has secured substantial third-party funding from the German Research Foundation (DFG), including multiple collaborative research center (SFB/TRR) projects, research units (FOR), and individual grants. His current major projects include the SFB 1540 EBM (2023-2026) investigating brain mechanics, and continuing work on polymorphic uncertainty modeling in heterogeneous materials. Within the SFB 1540 EBM consortium, Willner leads research on model-based matching of ex vivo and in vivo test data (project X01), focusing on resolving contradictions in mechanical properties of ultraweak brain tissue materials across different testing modalities. His team develops continuum-based simulation models to unify various experimental observations into a coherent mechanical framework for brain tissue.

• Fluid Dynamics
• Atmospheric Physics
• Turbulence
• +۵ مورد دیگر

Gholamhossein Bagheri is a Scientist and Group Leader at the Max Planck Institute for Dynamics and Self-Organization in Göttingen, Germany, where he heads the Turbulence and Particles in Fluids research group within the Laboratory for Fluid Physics, Pattern Formation and Biocomplexity (LFPB). His research focuses on the complex physics of particle-laden turbulent flows across environmental, atmospheric, and biological systems. Dr. Bagheri's research spans multiple interconnected domains of fluid physics with significant real-world applications. His primary areas of investigation include: Cloud physics and aerosol-cloud interactions, particularly their role as major sources of uncertainty in weather models and climate projections Atmospheric transport of non-spherical particles such as volcanic ash, microplastics, pollen, and snowflakes Indoor air quality dynamics and the spatio-temporal evolution of respiratory aerosols relevant to infectious disease transmission Development of advanced measurement techniques for studying particle-laden flows in both laboratory and field conditions Analysis of Dr. Bagheri's publication record reveals a trajectory from fundamental fluid dynamics toward increasingly applied research addressing critical environmental and public health challenges. His work on respiratory particle transmission during the COVID-19 pandemic provided key evidence for mask efficacy that influenced policymakers and the public. His research consistently tackles significant uncertainties in atmospheric science while developing innovative instrumentation to bridge laboratory and field measurements. Dr. Bagheri leads an active research team that has developed several groundbreaking measurement platforms including the Max Planck CloudKite (MPCK), the HoloTrack instrument for cloud droplet measurements, and the WinDarts system for atmospheric turbulence measurements. His group has conducted major field campaigns such as the Pallas Cloud Experiment (PaCE) in September 2022 and IMPACT (In-situ Measurement of Particles, Atmosphere, Cloud, and Turbulence) from May to June 2024, where up to six second-generation WinDarts units were successfully deployed over Pallas, Finland.