جست‌وجوی استاد و پژوهشگر

• Nanomaterials
• Carbon Nanotubes
• Fullerenes
• +۷ مورد دیگر

Dr. Frank Hennrich is a Project Leader at the Institute of Nanotechnology (INT), Karlsruhe Institute of Technology (KIT), Germany, within the Research Unit for Physical Chemistry of Nanoscale Systems. His research focuses on the synthesis, separation, and functionalization of carbon nanotubes and related nanomaterials. His primary research interests include nanomaterials, particularly carbon nanotubes and fullerenes, with an emphasis on their physical chemistry, spectroscopic characterization, and optoelectronic properties. His work spans synthesis, separation techniques, defect engineering, and applications in photonics and electronics. Recent publications highlight investigations into electroluminescence from quantum-defect-engineered nanotubes, ion mobility of metalated complexes and superatoms, and advanced separation methods for nanotubes. The trend in his recent publications shows a strong focus on the fundamental physical and chemical properties of low-dimensional carbon materials. His work integrates advanced spectroscopic and separation techniques such as trapped ion mobility spectrometry, Raman spectroscopy, and dielectrophoresis to understand and manipulate nanotube chirality, electronic type, and defect states. There is a clear trajectory toward optoelectronic applications, particularly in quantum light sources and integrated photonic devices operating in the telecom band. Dr. Hennrich has not been mentioned to have received any specific scientific awards in the provided text. He has collaborated extensively with leading researchers such as R. Krupke, M. M. Kappes, P. Weis, and others across numerous publications, indicating a strong network in the nanomaterials research community. While no specific grants are listed, his sustained publication record in high-impact journals suggests ongoing research funding. He has contributed significantly to the development of methods for sorting and functionalizing carbon nanotubes, which are foundational for their technological applications. His research is conducted within the Institute of Nanotechnology at KIT, a prominent institution for nanomaterials research, where he leads a group focused on the physical chemistry of nanoscale systems, particularly carbon-based nanostructures.

Andrew Carterمشاهده پروفایل

پژوهشگر

• Wildlife Conservation
• Endangered Species
• Population Ecology
• +۷ مورد دیگر

Andrew Carter is a researcher at Charles Sturt University, actively contributing to wildlife conservation and ecological research. His work is centered on population ecology, biodiversity monitoring, and the management of invasive species, particularly in arid and semi-arid Australian landscapes. His research focuses on the conservation of endangered species through innovative monitoring techniques such as camera-trapping and spatial analysis. Key themes include the behavior and management of invasive predators like the European red fox and feral cat, as well as the long-term success of reintroducing threatened mammals into predator-free fenced reserves. The recent publications reflect a strong trend in large-scale ecological synthesis, predator ecology, and practical conservation interventions. His work integrates field data with technological tools to inform management strategies and policy. Andrew collaborates widely across Australian ecological research networks, contributing to major multi-author studies on continental-scale wildlife monitoring. His research has significant implications for conservation practice, particularly in quantifying the effectiveness of eradication programs and habitat restoration.

Sophie Nowickiمشاهده پروفایل

استاد

• Glaciology
• Ice-sheet modeling
• Climate modeling
• +۳ مورد دیگر

Sophie Nowicki is an Empire Innovation Professor at the University at Buffalo's RENEW Institute, Department of Earth Sciences within the College of Arts and Sciences. She serves as Director of the Center for Geological and Climate Hazards. Her research focuses on ice sheet and sea level dynamics, using a combination of applied mathematics, remote sensing observations, and numerical modeling to understand how ice sheets interact with the global climate system. Empire Innovation Professor, University at Buffalo Director, Center for Geological and Climate Hazards Member of UB RENEW Institute Department of Earth Sciences, College of Arts and Sciences Dr. Nowicki's research interests center on glaciology, ice-sheet modeling, climate modeling, and sea level change. She studies how ice sheets interact with the global climate system and affect sea level change using a spectrum of models from idealized to large-scale continental ice sheet models. Her work is integral to climate models that provide forcing for ice sheet models, particularly through the Ice Sheet Model Intercomparison Project for CMIP6 (ISMIP6). She teaches courses including Introduction to Computational Earth Science, Environmental Remote Sensing, and various graduate research courses. Her recent publications reveal a strong focus on Antarctic and Greenland ice sheet modeling, sea level rise projections, and the development of advanced modeling frameworks. The research spans from fundamental glaciological processes to large-scale climate impacts, with a particular emphasis on quantifying uncertainties in ice sheet contributions to sea level rise. Her work frequently appears in top journals including Nature, The Cryosphere, and Geophysical Research Letters, and she has made significant contributions to the IPCC Sixth Assessment Report. Empire Innovation Professor recognition Lead contributor to IPCC AR6 Working Group I Principal Investigator for ISMIP6 (Ice Sheet Model Intercomparison Project) Dr. Nowicki actively mentors graduate students and postdoctoral researchers, with current advisees working on various aspects of ice sheet dynamics and sea level change. Her research is supported by multiple grants from NASA, NSF, and other agencies focused on improving our understanding and projections of ice sheet behavior in a warming climate. She leads the development of critical tools like the Cryosphere Model Comparison Tool (CmCt) and has been instrumental in establishing community standards for ice sheet modeling. She is involved with several research groups and initiatives including the Ice Sheet & Sea Level Lab at UB, which focuses on understanding how ice sheets will evolve in a warming world and what this means for future sea levels. Her team combines observational data with sophisticated modeling approaches to address key questions about ice-ocean and ice-atmosphere interactions that drive ice sheet changes.

Joe F. Lutkenhausمشاهده پروفایل

استاد

• Bacterial Cytokinesis
• Cell Division
• Molecular Biology
• +۳ مورد دیگر

Dr. Joe F. Lutkenhaus is a University Distinguished Professor and Chair of the Department of Microbiology, Molecular Genetics and Immunology at the University of Kansas School of Medicine. A member of the American Academy of Microbiology (2002) and the National Academy of Sciences (2014), he has received prestigious accolades including the Louisa Gross Horwitz Prize (2012) and an NIH Merit Award. BSc, Chemistry, Iowa State University PhD, Biochemistry, UCLA Postdoctoral Fellowship, Molecular Biology, University of Edinburgh Postdoctoral Fellowship, Microbiology, University of Connecticut His research focuses on bacterial cytokinesis, particularly the molecular mechanisms of the Z ring and divisome complex in Escherichia coli . Key areas include spatial/temporal regulation of septation, protein interactions (FtsZ, FtsA, FtsEX), and the evolution of cell division machinery across prokaryotes. Recent work explores photosynthesis-related proteins in haloarchaeal division and the self-enhancing nature of divisomes in Caulobacter crescentus . Scientific contributions span over 40 years, with 15 most recent publications highlighting regulatory mechanisms of FtsZ polymers, ATP-dependent divisome assembly, and novel protein interactions. Articles demonstrate expertise in bacterial cell cycle regulation, peptidoglycan synthesis, and cytoskeletal dynamics. Recipient, Louisa Gross Horwitz Prize (2012) NIH Merit Award Member, National Academy of Sciences (2014–Present) Member, American Academy of Microbiology (2002–Present) Dr. Lutkenhaus's lab has contributed to understanding Z ring kinetics, FtsEX-FtsA interactions, and Min system oscillation. His work bridges fundamental bacterial biology with implications for antibiotic development, supported by continuous NIH funding and collaborations across structural biology and genetics.

• Physiology
• Sports Science
• Molecular Biology
• +۳ مورد دیگر

Tommy Lundberg is a Senior Lecturer and Docent in Physiology at Karolinska Institutet. He works at the Department of Laboratory Medicine, Division of Clinical Physiology. His email address is tommy.lundberg@ki.se, and his postal address is H5 Laboratoriomedicin, H5 Klinisk Fysiologi Gustafsson, 141 52 Huddinge. Lundberg is affiliated with the university library and has held positions since 2022. Research Interests: Lundberg's research focuses on skeletal muscle mass and function adaptation, particularly in athletic performance, disease contexts, aging, and transgender individuals undergoing hormone therapy. He investigates molecular, metabolic, morphological, and functional responses to resistance and aerobic exercises. His work also explores biological maturity selection biases in youth sports, bio-banding applications in soccer and ice hockey, and the impact of anti-inflammatory drugs on muscle hypertrophy. Article Trends: Lundberg's recent publications (2025–2024) cover topics like sex differences in disc golf, muscle atrophy in space exposome, longitudinal hormone therapy effects in transgender individuals, and bio-banding in youth sports. Earlier works delve into molecular pathways in muscle hypertrophy, concurrent training effects, mitochondrial function, and imaging techniques (CT/MRI) for muscle assessment. Scientific Recognition: Most prominent young researcher in Sport Science, Swedish Central Association for Sport Promotion (SCIF), 2017 Teaching and Editorial Roles: Lundberg teaches human physiology and sports science in nursing, physiotherapy, and biomedical analytics programs. He leads a contract education course in advanced exercise physiology and contributes to a PhD course on scientific writing. He is an Associate Editor for Frontiers in Physiology - Exercise Physiology (2022) and a member of the editorial board for Translational Exercise Biomedicine (2024). Collaborations and Expertise: He collaborates with the Swedish Football Association and Swedish Ice Hockey Association on bio-banding studies. Lundberg served as an invited speaker at the ACSM Annual Meeting (2024) on transgender athletes and as an expert panelist for World Rugby's transgender workshop (2020). His supervision includes Andrea Tryfonos (2021) and thesis evaluations at Mid Sweden University and Linköping University.

• Cognitive Neuroscience
• Decision Making
• Noradrenergic System
• +۳ مورد دیگر

Professor Sander Nieuwenhuis (Leiden University) specializes in Cognitive Neuroscience of Decision Making through behavioral, EEG, and pharmacological approaches. His work bridges prefrontal cortex function and noradrenergic system mechanisms in human cognition. Studied cognitive psychology (Groningen) and earned PhD (Amsterdam, 2001) International experience: Cambridge University (visiting research), Princeton University (postdoc) Research focuses on noradrenaline's role in attention, decision-making, and cognitive control via: Locus coeruleus-norepinephrine system dynamics Phasic vs. tonic alertness effects Cognitive task performance under neuromodulator deficiency Neuroprotective pathways in Alzheimer's models Recent publications analyze DBH deficiency (Jepma et al., 2011) and attentional blink mechanisms (Nieuwenhuis et al., 2005). His Temporal Attention Lab integrates fMRI, genetics, and computational modeling . Teaching leadership includes: Chair of Research Master Program Committee Coordinator of Scientific Writing courses

• Ceramic Composites
• Bioinspired Materials
• High-Temperature Interfacial Phenomena
• +۴ مورد دیگر

Professor Eduardo Saiz Gutierrez is a Chair in Structural Ceramics at the Department of Materials, Faculty of Engineering, Imperial College London. He leads the Centre for Advanced Structural Ceramics (CASC) and coordinates the BioBone Initial Training Network under FP7, involving nine academic and industrial partners. His research spans ceramic composites, graphene-based materials, and bioceramics for bone repair. Research Interests Hierarchical bioinspired ceramic composites High-temperature interfacial phenomena (spreading, capillarity) Graphene synthesis and composite fabrication Biomaterials for bone tissue engineering Advanced processing techniques for ceramics Key Affiliations Centre for Advanced Structural Ceramics (Director) Institute for Molecular Science and Engineering LFC-UK (Laminar Flow Control underpinning technology) The Composites Centre Scientific Contributions He has supervised numerous PhD and MSc students, including Claudio Ferraro, Gil Machado, and Eleonora D'Elia, while securing significant grants for projects like BioBone. His group has developed novel methods for graphene growth, ceramic sintering, and self-healing composites.

• Analog and mixed-signal integrated circuit design
• Computer-aided design (CAD) of electronic circuits
• Design automation (EDA)
• +۵ مورد دیگر

Georges Gielen is Full Professor in the Department of Electrical Engineering (ESAT) at KU Leuven, Belgium, and part-time Research Director at imec. He has held multiple leadership roles including Chair of ESAT Department (2012-2013, 2020-2024) and Vice-Rector for Science, Engineering & Technology (2013-2017). His academic career spans over 30 years at KU Leuven, progressing from Assistant to Full Professor. His research focuses on analog and mixed-signal integrated circuit design automation , with expertise in CAD tools, design optimization, sensor interfaces, and neuromorphic systems. His work bridges hardware design with machine learning, particularly in hardware-efficient AI implementations and biomedical applications. He has pioneered techniques for automated analog circuit sizing, topology synthesis, and reliability-aware design in nanometer CMOS. Gielen has received numerous accolades including the IEEE CAS Mac Van Valkenburg Award (2015), IEEE CAS Charles Desoer Award (2020), and EDAA Achievement Award (2021). He holds an ERC Advanced Grant AnalogCreate and is an IEEE Fellow since 2002. As a prolific scholar, he has chaired major conferences including DATE (2006), ICCAD (2007), and ESSCIRC (2017). He has graduated over 55 PhD students through the MICAS research group at KU Leuven, currently supervising 13 doctoral candidates. His research team collaborates extensively with imec and industry partners on cutting-edge projects in carbon-aware AI accelerators, uncertainty-aware design, and neuromorphic sensor interfaces.

Jonathan B. Claytonمشاهده پروفایل

استادیار

• Microbiology
• Microbial Ecology
• Host-Microbiome Interactions
• +۴ مورد دیگر

Dr. Jonathan B. Clayton is an Assistant Professor in the Department of Biology at the University of Nebraska Omaha and holds cross-appointments at the University of Nebraska-Lincoln (Department of Food Science and Technology) and the University of Nebraska Medical Center (Department of Pathology and Microbiology). He holds a D.V.M. and Ph.D. in Comparative and Molecular Biosciences from the University of Minnesota. His work focuses on host-microbiome interactions in humans and nonhuman primates, particularly exploring how dietary fiber, lifestyle, and environmental factors influence gut microbiome composition and metabolic health. He founded the Primate Microbiome Project (PMP) to map microbiome variation across all primates, linking it to health, evolution, and conservation. Research Interests include microbiome modulations of metabolic diseases (diabetes, obesity) and neurological disorders (stress), using in vitro/in vivo models like germ-free mice and marmosets. His methodologies involve next-generation sequencing, anaerobic culture, and marmoset models. Clayton is affiliated with the Callitrichid Research Center and GreenViet Biodiversity Conservation Center, emphasizing translational research and conservation applications. Teaching focuses on Microbiology and Microbial Ecology. His lab (Clayton Lab) investigates causal mechanisms of microbiome-related diseases and has published extensively on gut microbiome dynamics in captive and wild primates. Recent work highlights antibiotic impacts on gut-brain axis interactions and conservation implications of microbiome diversity.

• Organic Chemistry
• Fluorine Chemistry
• Supramolecular Chemistry
• +۵ مورد دیگر

Rainer Haag is a Professor at Freie Universität Berlin, affiliated with the Institute of Chemistry and Biochemistry in the Faculty of Mathematics and Natural Sciences. He serves as Subproject Leader for projects C6 and C8 within the Collaborative Research Centre (CRC) 1349, titled Fluorine-Specific Interactions: Fundamentals and Applications , highlighting his central role in a major interdisciplinary research initiative. His research focuses on organic and bioorganic chemistry with a strong emphasis on fluorine-containing compounds. His work integrates synthetic chemistry with materials science and biological applications, particularly in the development of functional polymers and nanostructures driven by fluorine-specific interactions. The research conducted under CRC 1349 spans disciplines such as organic synthesis, supramolecular assembly, and biomedical materials, indicating a trend toward interdisciplinary approaches that bridge chemistry, biology, and nanotechnology through the unique properties of fluorine. No scientific awards mentioned in the text. Prof. Haag leads key subprojects within CRC 1349, suggesting active supervision of researchers and collaboration across teams. While specific advisees are not listed, his leadership role implies involvement in mentoring PhD and postdoctoral researchers. The CRC is likely funded by the German Research Foundation (DFG), indicating sustained grant support for his research group. He is part of the broader research ecosystem of CRC 1349, which includes an Integrated Research Training Group (MGK) for graduate education and regular workshops, winter schools, and conferences. His team contributes to this collaborative network, particularly in advancing fundamental and applied science around fluorine chemistry.

Yingfei Xiongمشاهده پروفایل

دانشیار

• Software Engineering
• Programming Languages

Yingfei Xiong is an active Associate Professor at Peking University, China, specializing in software engineering and programming languages. With a consistent research trajectory from 2013 through 2026, Xiong has established themselves as a prominent figure in the software engineering research community, regularly contributing to top-tier conferences including SPLASH, ICSE, ASE, and PLDI. Dr. Xiong's research primarily focuses on program synthesis, automated program repair, and software analysis techniques. Their work bridges theoretical programming language concepts with practical software engineering applications, particularly in developing novel approaches for code generation, bug fixing, and program optimization. The research demonstrates strong interdisciplinary connections between traditional software engineering, programming languages theory, and emerging AI techniques. Analysis of Xiong's publication trends reveals a clear evolution in research focus, beginning with foundational work in API transformations and program adaptation around 2013-2016, shifting toward program repair techniques from 2017-2020, and most recently incorporating machine learning and neural approaches into program synthesis and repair (2021-2026). The work consistently addresses practical challenges in software development while maintaining theoretical rigor, with increasing integration of AI techniques in recent years. Dr. Xiong has served in various leadership roles across the software engineering conference ecosystem, including program committee membership and session chair positions at major conferences. Their extensive service demonstrates recognition by peers as a subject matter expert in software engineering and programming languages research. While specific grant information isn't detailed in the provided text, the sustained publication record suggests successful research funding.

• Nanobiotechnology
• Biophysics
• Colloid and Interface Science
• +۴ مورد دیگر

Assoc. Prof. Dietmar Pum is a leading researcher at the Institute of Biophysics, University of Natural Resources and Life Sciences, Vienna (BOKU). With a career spanning over three decades, he has pioneered work on S-layer proteins as nanobiotechnological tools and biomimetic surface functionalization. His research bridges microbiology, biophysics, and nanomaterials science. Education & Career Doctorate (1984) and Habilitation (1992) at Vienna University of Technology Awarded FEBS (1987) and EMBO (1982) fellowships Assoc. Univ. Prof. since 1997, Deputy Head of Biophysics Institute since 2014 Research Focus Dr. Pum's work centers on leveraging S-layer proteins for nanoscale fluid mechanics , molecular imprinting , and biohybrid materials . His projects explore: Self-assembly of 2D protein crystals Functionalization of carbon nanotubes Biomimetic sensor development Applications in diagnostics and environmental technology Publication Trends His recent publications (2025-2019) highlight interdisciplinary advancements in: Nanoscale biofluid dynamics Gold nanoparticle synthesis via microbial enzymes Archaeal S-layer characterization Protein-directed nanomaterials Biosensor platforms Lipid quantification via machine learning Scientific Recognition Philip Morris Research Prize (1998) Cardinal Innitzer Prize (1992) ÖAGM Prize (1986) Peer reviewer for Nature Materials , Advanced Materials , and Biophysical Journal Advising & Collaborations Dr. Pum has supervised over 15 theses, mentoring students in topics ranging from Caenorhabditis elegans imaging to nanomembrane fabrication. He leads international collaborations under EU Horizon and FWF grants, including the Stimuli Responsive Materials project (2020-2025). Labs & Networks As a core member of BOKU's Center for NanoBiotechnology and the Ludwig Boltzmann Institute for Molecular Nanotechnology , he develops bioinspired nanomaterials and contributes to global programs in molecular self-assembly.

Bei Jiangمشاهده پروفایل

دانشیار

• Biostatistics
• Functional Data Analysis
• Statistical Machine Learning
• +۶ مورد دیگر

Dr. Bei Jiang is an Associate Professor in the Department of Mathematical and Statistical Sciences at the University of Alberta , Canada. She holds the Canada CIFAR AI Chair and is affiliated with the Alberta Machine Intelligence Institute (Amii) . Her academic journey includes a PhD in Biostatistics (2014) from the University of Michigan, MS (2008) and BS (2004) from the University of Alberta and Beijing University of Technology, respectively. Current Positions : 2021–Present (Associate Professor), 2022–Present (CIFAR AI Chair) Past Appointments : Assistant Professor (2015–2021), Postdoctoral Fellow at Columbia University (2014–2015), Research Assistant at University of Michigan (2009–2013) Research Interests : Dr. Jiang specializes in methods for joint modeling of longitudinal and health outcome data , Bayesian hierarchical modeling , functional and imaging data analysis , and statistical machine learning . Her work integrates kernel machine regression , differential privacy , and synthetic data generation to address challenges in heterogeneous health data and neuroimaging. Scientific Awards : Highlights include the 2015 SAMSI New Research Fellow , multiple Rackham Conference Travel Awards (2013, 2012), and prestigious NSERC scholarships (2009–2012). She has also received the J Gordin Kaplan Graduate Award (2008) and Statistical Society of Canada Travel Award (2008). Grants : $375,000 (CIFAR AI Chairs, 2022–2027), $480,000 (MITACS Accelerate, 2022–2025), and $210,000 (Canadian Statistical Sciences Institute, 2022–2025) Students and Postdocs : She mentors numerous PhD , MSc , and Postdoctoral Fellows , including Junxi Zhang (2023–Present), Enze Shi (2022–Present), and former advisees like Wenxing Guo (now Lecturer at University of Essex) and Yafei Wang (Assistant Professor at University of Alberta).

• Construction Engineering
• Computing in Civil Engineering
• Project Planning and Scheduling
• +۶ مورد دیگر

Ming Lu is a Professor in the Department of Civil and Environmental Engineering at the University of Alberta, Faculty of Engineering. Specializing in Construction Engineering and Management (CEM), he leads the Construction Automation Lab (AutoLab) since 2010, focusing on integration, automation, and optimization in construction. Dr. Lu holds professional engineering licensure (PEng) in Alberta and has extensive academic experience across Canada, Hong Kong, and China. PhD in Civil Engineering (University of Alberta, 2000) B.Eng. in Road & Traffic Engineering (Tongji University, 1994) His research spans Construction Automation , Project Scheduling , and Resource Optimization , with over 150 publications in top journals. Recent work emphasizes model trees , time-window constraints , and labor cost regression . Publications appear in Automation in Construction , Journal of Computing in Civil Engineering , and ASCE Journal of Construction Engineering and Management . Notable awards include the 2022/23 CSCE Stephen G. Revay Award , Fiatech STAR Award (2013) , and multiple Best Paper Awards from ASCE. His software tools like SDESA and S3 revolutionized construction simulation and resource-constrained scheduling. Dr. Lu supervised numerous graduate students in projects involving BIM applications , earthwork optimization , and steel fabrication scheduling . He developed key courses like CIV E 406 (Construction Estimating) and CIV E 607 (Productivity Modeling), integrating simulation-based learning into construction education.

Peng Liمشاهده پروفایل

استاد

• Integrated Circuits and Systems
• Brain-Inspired Computing
• Electronic Design Automation
• +۶ مورد دیگر

Peng Li is a Professor in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara. His research focuses on integrated circuits, brain-inspired computing, electronic design automation, and hardware machine learning systems. He holds Fellow status in the Institute of Electrical and Electronics Engineers (IEEE). His work emphasizes neuromorphic engineering, spiking neural networks, and the intersection of machine learning with analog circuit design. Education includes a PhD in Electrical and Computer Engineering from Carnegie Mellon University, an MS in Systems Engineering from Xi'an Jiaotang University, and a BS in Information Science and Engineering from the same institution. His research has been recognized with prestigious awards including the ICCAD Ten-Year Retrospective Most Influential Paper Award and multiple Design Automation Conference Best Paper Awards. Key research trends in his articles include advancements in spiking neural networks (SNNs), hardware accelerators for neuromorphic computing, Bayesian optimization for analog circuit design, and robustness in machine learning systems. He explores topics like adversarial robustness, energy-efficient architectures, and data-efficient prediction techniques. His work bridges theoretical machine learning models with practical hardware implementations, particularly in 3D integration and systolic array acceleration. Notable contributions include pioneering hybrid approaches combining formal verification with machine learning for analog circuits (HFMV framework), and innovations in neuromorphic processors such as the 3D Liquid State Machine architecture. His research also addresses challenges in semiconductor manufacturing, including wafer map pattern recognition and failure detection through semi-supervised learning and contrastive methods. Awards highlight his impactful contributions to both design automation and neural computing. His grants and collaborations likely span industry partnerships in semiconductor technology and neuromorphic computing. He leads a lab focused on next-generation hardware-software co-design for intelligent systems, emphasizing energy efficiency and scalability.