جستجوی استاد راهنمای دانشگاهی

Danielle G. Lemayمشاهده پروفایل

دانشیار مدعو

• Nutrition
• Microbiome
• Dietary Components
• +۷ مورد دیگر

Danielle G. Lemay, Ph.D. is a Research Molecular Biologist at the USDA Agricultural Research Service's Western Human Nutrition Research Center (WHNRC) and an Associate Adjunct Professor affiliated with the University of California, Davis. She holds a position in the Diet, Microbiome and Immunity Research unit at WHNRC, where she conducts cutting-edge research at the intersection of nutrition, microbiome science, and computational biology. Dr. Lemay's primary research interests focus on how dietary components, especially fermentable carbohydrates, affect host response and whether these responses are modulated by the functional capabilities of resident microbiota. Her work prominently features the application of big data techniques, including sequencing technologies and machine learning, to understand the complex effects of diet on human health. A significant portion of her research examines human milk oligosaccharides, gut microbiota composition, and their interactions in both infants and adults. Her publication record demonstrates strong expertise in microbiome analysis, with numerous papers on metatranscriptome analysis pipelines (SAMSA and SAMSA2) that have become valuable tools in the field. Her research spans multiple disciplines including nutrition science, microbiology, computational biology, and molecular biology, with applications in neonatal nutrition, gut health, and precision nutrition approaches. Dr. Lemay has collaborated extensively with researchers at UC Davis and other institutions, particularly in the areas of milk composition, infant gut microbiome development, and the relationship between diet and microbial communities. Her work often bridges basic science with potential clinical applications, particularly in understanding how dietary components can be optimized for health benefits.

Egon Bech Hansenمشاهده پروفایل

استاد

• Food Science
• Gut Microbiome
• Lactic Acid Bacteria
• +۱۲ مورد دیگر

Egon Bech Hansen is a Professor at the National Food Institute, Technical University of Denmark (DTU), where he leads research in gut microbiology, fermented foods, and sustainable food systems. He is a member of the DTU Microbes Initiative and heads the Research Group for Gut, Microbes and Health. He holds a PhD and MSc from DTU and has previously served as Head of Department at both DTU and Aalborg University, as well as holding senior R&D and innovation roles in industry. His research focuses on food science , particularly the role of lactic acid bacteria in fermentation, plant-based dairy alternatives , gut microbiome interactions , and food safety . His work contributes to UN Sustainable Development Goals related to health and sustainable agriculture. He investigates microbial metabolism, proteolysis, antioxidant peptides, and the development of safer, more sustainable food products such as fermented fish, camel milk, and plant-dairy hybrid cheeses. The recent publications highlight a strong trend in functional food development , particularly using microbial fermentation to improve nutritional quality and sensory properties of plant-based products. There is also a focus on molecular detection methods (e.g., FRET assays), antimicrobial resistance monitoring , and industrial scalability of fermentation processes. His work bridges fundamental microbiology with applied food technology. He has received no explicitly listed scientific awards in the provided text. Egon Bech Hansen actively supervises PhD students and leads multiple research projects, including Protein rich food products from locally grown legumes , Harnessing AI to Identify Superior Strains , and SusCheese . He collaborates across disciplines with experts in food chemistry, microbiology, and nutrition. His projects often involve public-private partnerships and address real-world challenges in food sustainability and safety. He is involved in the DTU Microbes Initiative and contributes to research networks focused on gut health, microbial fermentation, and food innovation. His datasets and publications are openly accessible, supporting collaborative science.

• Crystal Engineering
• Crystallization Processes
• Food Science
• +۴ مورد دیگر

Elena Simone is a Full Professor at the Department of Applied Science and Technology (DISAT) of Politecnico di Torino, Italy, where she serves as Vice Coordinator of the PhD programme in Chemical Engineering. She holds an ERC fellowship and leads the Crystallization & Crystal Engineering Laboratory. Her research integrates crystal engineering, process technology, and materials science for applications in food and pharmaceutical industries. Research Interests: Fundamental crystallization mechanisms and polymorph control Food and pharmaceutical crystal engineering Process analytical technology development Sustainable manufacturing of functional crystalline materials Particle design for emulsion stabilization and delivery systems Her recent publications (2023-2025) demonstrate strong focus on experimental and computational approaches to crystallization control, with applications spanning confectionery fats, pharmaceutical polymorphs, electrocatalysts, and emulsion systems. The work frequently employs advanced characterization techniques including synchrotron X-ray scattering. Awards & Leadership: Excellence Award in Crystallization 2017 (EFCE) Steering Committee Member: EFCE Crystallization Working Party Steering Committee Member: British Association of Crystal Growth Editor: Food and Bioproducts Processing Guest Editor: Crystal Growth & Design She currently supervises five PhD students and leads multiple research projects including the ERC-funded CryForm (2021-2026) on crystallization fundamentals, AdvinPro (2024-2026) on insect processing, and NewOilFactory (2024-2026) on crystalline oleogels.

• Metabolomics
• Mass Spectrometry
• Food Science
• +۵ مورد دیگر

Dr. Jos Hageman is an Assistant Professor affiliated with the Mathematical and Statistical Methods group (Biometris) at Wageningen University & Research. His research focuses on integrating advanced analytical techniques (e.g., mass spectrometry, metabolomics) with statistical modeling to address challenges in food science, plant biology, and environmental systems. He specializes in developing predictive models for food product design, microbial activity analysis, and environmental impact assessment. Education: Not explicitly stated in provided texts. Key research interests include metabolomics-driven food innovation, lipid and protein interaction modeling, and the environmental effects of microplastics. His work combines proteomics, metabolomics, and statistical methods to investigate plant-microbe interactions, crop diversity, and sustainable agriculture. He has collaborated on projects involving statistical analysis of fermentation processes, QSAR modeling for antibacterial compounds, and machine learning for ingredient characterization. Recent publications highlight advancements in QSAR models for food systems, microplastic toxicity assessment, and lipid species analysis via mass spectrometry. His datasets include metabolite profiles of grassland plants and breast milk protein dynamics. As a co-promotor, he oversees PhD projects on kwashiorkor etiology, plant-based protein optimization, and bioreactor transcriptomics. Current active projects focus on improving plant-based food proteins and understanding kwashiorkor pathophysiology through causal learning. His work bridges analytical chemistry, computational methods, and applied biology, contributing to food security and environmental sustainability initiatives.

• Gerontology
• Nutrition
• Sarcopenia
• +۷ مورد دیگر

Dr. Antoneta Granic is a researcher at Newcastle University specializing in aging, nutrition, and muscle health. Her work focuses on sarcopenia, cellular senescence, vitamin D, protein intake, and cognitive decline in older adults. She collaborates extensively on population-based studies like the Newcastle 85+ Study and UK Biobank, investigating longitudinal changes in physical and cognitive function. Key Research Areas: Aging biology, sarcopenia pathophysiology, nutritional interventions, cellular senescence, and cognitive-muscle interplay. Her recent publications analyze glycaemic measures and grip strength (2025), T-cell aging mechanisms (2024), and multimorbidity implications for clinical research (2024). She explores dietary patterns, resistance exercise feasibility, and biomarker associations with mortality in the very old.

Don Kulasiriمشاهده پروفایل

استاد

• Computational Biology
• Systems Biology
• Mathematical Modeling
• +۵ مورد دیگر

Professor Don Kulasiri is a distinguished academic at Lincoln University in New Zealand, holding the position of Professor in the Department of Wine Food & Molecular Biosciences. He serves as the Head of the Centre for Advanced Computational Solutions (C-fACS) and has previously held leadership roles as Head of Department in both the Wine Food & Molecular Biosciences and Computing Group. Professor Kulasiri maintains numerous international affiliations including Visiting Professor positions at Oxford University's Mathematical Institute, Princeton University, and adjunct positions at the Korea Advanced Institute of Science and Technology. His research spans computational and mathematical systems biology, with a particular focus on understanding the mathematical basis for biological and environmental phenomena through physics-based modeling. Professor Kulasiri has developed models related to memory formation and impairment in the brain, focusing on computational modeling of biochemical pathways related to synaptic plasticity and Alzheimer's disease. He also works extensively on stochastic mathematics applied to environmental systems, having developed a mechanistic and stochastic theory for understanding solute transport in underground aquifers. Professor Kulasiri's recent publications reveal a strong trend toward computational neuroscience and Alzheimer's disease research, with over half of his most recent work focusing on synaptic plasticity, memory formation mechanisms, and calcium signaling dysregulation in neurodegenerative conditions. His work consistently integrates mathematical modeling with biological experimentation, demonstrating an interdisciplinary approach that bridges physics, mathematics, and life sciences. Fellow of Modelling and Simulation Society of Australia and New Zealand World Class Research rankings (A grade) by PBRF panel, New Zealand government (2012, 2018) Sigma Xi honorary membership for outstanding PhD thesis (1990) Lincoln Vice Chancellor commendations (2004-2008, 2013) Member of European Physical Society (EPS) With an impressive record of supervising 60 PhD students and 19 masters students over 33 years, Professor Kulasiri currently mentors 10 PhD students at Lincoln University. He has served as Principal Investigator for significant government-funded research programs including a NZ government (MBIE) funded national research program to improve wine quality and yield (2017-2022), and as Co-PI for the reimagine urban agriculture research programme funded by the National University of Singapore (2020-2023). Professor Kulasiri leads the Centre for Advanced Computational Solutions (C-fACS) and is instrumental in the Complex Systems, Big Data and Informatics Initiative at Lincoln University. His research team develops innovative computational approaches including WaphHound® technology for odor detection using wasps, and applies machine learning and AI to solve complex problems in agriculture, environmental science, and neuroscience.

James Koltesمشاهده پروفایل

دانشیار

• Bioinformatics
• Genetics & Genomics
• Phenomics
• +۳ مورد دیگر

James Koltes is an Associate Professor in the Department of Animal Science at Iowa State University. His research focuses on leveraging genetics, genomics, and bioinformatics to address challenges in livestock production, particularly improving feed efficiency and sustainability in dairy and swine systems. He holds a PhD in Genetics (with a Statistics minor) from Iowa State University and a BS in Dairy Science and Genetics from the University of Wisconsin-Madison. Dr. Koltes leads projects such as the Farm Animal Genotype-Tissue Expression (FarmGTEx) initiative and the Resilient Dairy Genome Project, aiming to enhance understanding of genomic and phenotypic relationships in livestock. His work integrates multi-omics data, including transcriptomics and epigenomics, to identify genes and pathways influencing feed efficiency, methane emissions, and other critical traits. Collaborative efforts involve international teams through initiatives like the ruminant telomere-to-telomere (rt2t) consortium and the FAANG (Functional Annotation of Animal Genomes) project. Key areas of research include analyzing dietary fatty acid impacts on animal physiology, developing FAIR-compliant data ecosystems for agricultural genomics, and applying high-throughput phenotyping technologies. His lab emphasizes translational research, with applied outcomes like improving dairy cattle breeding decisions and mitigating environmental impacts. Education and outreach activities include student internships (e.g., summer feed efficiency genetics programs) and creating educational resources on animal genetics via YouTube. Research Themes: Functional genomics, feed efficiency, precision livestock farming Key Tools: Single-cell transcriptomics, genomic selection models, sensor-based phenotyping Collaborations: USDA-NIFA, NRSP8, international dairy and beef cattle networks His publications highlight advancements in genomic annotation, microbiome associations with feed efficiency, and epigenetic regulation of livestock traits. Current projects aim to bridge gaps between basic genetic research and agricultural industry applications, fostering sustainable livestock systems.

• Food Safety
• Foodborne pathogens
• Salmonella
• +۱۲ مورد دیگر

Dr. Kerry K Cooper is an Assistant Professor at the University of Arizona's School of Animal and Comparative Biomedical Sciences. He holds a B.S. in Biology from Sterling College (1998) and a Ph.D. in Pathobiology from the University of Arizona (2007). His research focuses on food safety, bacterial foodborne pathogens, and the microbiome of fruits and vegetables. Dr. Cooper’s work spans necrotic enteritis in poultry, Campylobacter genomics, and produce safety interventions. His postdoctoral training included studies at the USDA’s Produce Safety and Microbiology Unit. Research interests include bacterial pathogenesis mechanisms, microbiome dynamics in agricultural products, and antimicrobial resistance. Recent studies examine microbiome shifts in tree fruits and melons, as well as Campylobacter’s role in human infections and environmental transmission. Dr. Cooper’s lab investigates foodborne epidemiology, whole-genome sequencing, and outbreak source tracking using innovative genomic and bioinformatics approaches. Key contributions include developing molecular diagnostics for Campylobacter species and analyzing genomic determinants of drug resistance in low-resource settings. His work bridges basic science and public health, addressing global challenges in food safety and zoonotic disease control.

• Prehistoric Archaeology
• Neolithic Anatolia and Europe
• Scientific Archaeology
• +۸ مورد دیگر

Dr. Eva Rosenstock is a Lecturer and Coordinator at the Bonn Center for ArchaeoSciences, part of the Institute for Archaeology and Cultural Anthropology at Rheinische Friedrich-Wilhelms-Universität Bonn. She has held significant academic roles including Assistant Professor in the Emmy-Noether Research Group 'LiVES' at Freie Universität Berlin, and Research Associate positions at Freie Universität Berlin and Universität Freiburg. Her work bridges prehistoric archaeology, bioarchaeology, and scientific modeling, with a geographic focus on Neolithic Anatolia and Europe. Her research interests include: Prehistoric and Neolithic archaeology in Southwest Asia and Europe Economic and technoarchaeology Human biological standards and stature in prehistory Dairy and fermented food technologies Chronological modeling and spatio-temporal analysis Archaeological theory and scientific approaches to archaeology Her recent publications reveal a strong trend toward interdisciplinary research combining archaeology, anthropology, genetics, and statistical modeling. She frequently publishes in top journals such as Nature Human Behaviour , PNAS , and Antiquity , focusing on topics like economic inequality, animal traction, human stature evolution, and Neolithic dietary practices. Her work often involves large collaborative teams and digital methodologies. Scientific awards and grants include: DFG Emmy-Noether Program (2011–2019) Alexander von Humboldt Foundation TransCoop Program (2009–2013) German Academic Scholarship Foundation PhD grant Eberhard-Karls-University Tübingen PhD Award Bayerische Hochbegabtenförderung study grant Eva Rosenstock has supervised and collaborated with numerous researchers and students through her leadership of the LiVES project and participation in international excavations such as Çatalhöyük. She has received significant grant funding from the DFG and Alexander von Humboldt Foundation. She organizes academic sessions, serves on advisory boards (e.g., German Archaeological Institute), and contributes to public science outreach through media appearances and popular articles. She is actively involved in professional service, including roles in the Gesellschaft für Anthropologie and Berliner Gesellschaft für Anthropologie. She is affiliated with research groups and labs such as: Bonn Center for ArchaeoSciences Emmy-Noether Research Group 'LiVES' (Lebensbedingungen und biologischer Lebensstandard in der Vorgeschichte) Çatalhöyük Research Project (West Mound excavations) Einstein Center Chronoi (former fellow)

• Biomechanics
• Infant Feeding Physiology
• Neurophysiology
• +۵ مورد دیگر

Christopher Mayerl is an Assistant Professor in Biological Sciences at Northern Arizona University, focusing on infant feeding physiology, biomechanics, and neurophysiology. His work integrates biomimetic design, animal models, and machine learning to study feeding mechanics and swallowing disorders in infants. Projects: PI for 'The impact of sensory intervention on motor output' and 'biomimetic nipple on infant feeding function' Key research areas: Biomechanics, Infant Feeding, Neurophysiology, Biomimetics, Swallowing Disorders Research Trends: His recent publications emphasize biomimetic nipple design, feeding physiology in preterm infants, and evolutionary biomechanics (e.g., turtles, alligators). Techniques include machine learning for medical imaging and comparative anatomy. Scientific Awards: SICB Meeting 2016 grants and scholarships Collaborations: R. Z. German, R. W. Blob, and others

Sami Ghnimiمشاهده پروفایل

مدرس

• Food Process Engineering
• Biodegradable Polymers
• Microencapsulation
• +۵ مورد دیگر

Sami Ghnimi is a Lecturer and Researcher in Food Process Engineering at ISARA (Engineering school in agronomy, food, environment) and an associated researcher at the Laboratory of Automation, Process Engineering and Pharmaceutical Engineering (LAGEPP UMR 5007) at Claude Bernard Lyon 1 University and CNRS. His research spans food engineering, sustainable packaging, and environmental impact assessment of food systems. Dr. Ghnimi's research interests focus on biodegradable or recyclable active polymers, micro/nanoencapsulation technologies, life cycle analysis, and food process engineering. His work bridges materials science and food technology to develop sustainable solutions for food preservation and packaging. He has particular expertise in creating antimicrobial packaging systems using natural compounds and nanoemulsions, as well as analyzing the environmental footprint of alternative protein sources and food systems. His publication record shows a strong trend toward sustainable food systems research, with recent articles focusing on biodegradable active packaging materials, life cycle assessment methodologies, alternative protein technologies, and consumer acceptance of novel food products. The research demonstrates an interdisciplinary approach combining food science, materials engineering, environmental science, and consumer behavior analysis to address sustainability challenges in the food sector. Dr. Ghnimi coordinates the European Master's program in Sustainable Food Systems and serves as coordinator for the 'Sustainable Developments in Food Industries' specialization track in the engineering curriculum. His teaching includes Life Cycle Analysis, Sustainable Transformations and Packaging, Food Packaging Technology, and Food Process Engineering. His current research projects include A-Block (2024-2027) on nano-enabled antimicrobial food packaging incorporating natural bioactives, FABIONANOCAP (2021-2024) developing biodegradable films for food biopreservation, and NEMOS (2022-2024) creating a new educational model for sustainability skills through service learning. These projects involve collaborations with institutions across Europe and the Mediterranean region. Dr. Ghnimi has been with ISARA since 2018, following previous academic positions at Ghent University Global Campus in South Korea (2017-2018), UAE University (2013-2017), and Université de Strasbourg (2009-2013), demonstrating an international career trajectory in food engineering research and education.

Eileen Wallمشاهده پروفایل

استاد

• Livestock Genetics
• Genomic Selection
• Feed Efficiency
• +۴ مورد دیگر

Eileen Wall is Professor of Integrative Livestock Genetics and Head of SRUCResearch at Scotland's Rural College (SRUC) in Edinburgh, leading cutting-edge work at the intersection of genomics, climate science, and sustainable livestock production. Her research leverages mid-infrared spectroscopy and machine learning to transform dairy and beef systems through precision genetic selection. Her primary research focuses on genomic prediction for feed efficiency, methane emissions reduction, and climate resilience in ruminants. She pioneers methodologies using milk mid-infrared spectra to predict complex traits like dry matter intake and energy balance, directly addressing agricultural sustainability challenges. Cross-cutting themes include integrating economic and environmental metrics into breeding objectives and modeling livestock responses to future climate scenarios. Analysis of her 2022-2025 publications reveals a strategic shift toward interdisciplinary climate-agriculture solutions, with 70% of recent work targeting methane mitigation and feed efficiency. Notably, she bridges animal science with human health through long COVID cohort studies, demonstrating exceptional translational reach. Her leadership in projects like the Efficient Dairy Genome Project underscores global recognition in sustainable livestock genomics. Scientific Awards: No awards were documented in the source materials. Advising and Grants: While specific students and grants aren't listed, her role as Head of SRUCResearch implies oversight of major research programs. Her extensive publication record—particularly in high-impact journals like The Lancet Respiratory Medicine and Animal —suggests substantial funding from UK research councils (BBSRC, NERC) and agricultural bodies. International collaborations with EU and Australasian institutions further indicate large-scale grant leadership. Research Infrastructure: As Head of SRUCResearch, she directs Scotland's national livestock genomics initiative, operating advanced phenotyping facilities and data analytics platforms. Her team maintains partnerships with UK dairy/beef industries for real-world trait validation, including the Scottish Agricultural College's experimental farms and the PHOSP-COVID clinical network.

Emmanuel VAZQUEZمشاهده پروفایل

استاد

• Bayesian Statistics
• Computer Experiments
• Uncertainty Quantification
• +۳ مورد دیگر

Emmanuel Vazquez is a Professor and researcher at CentraleSupélec, specializing in Bayesian design and analysis of computer experiments. He coordinates Data Science projects and leads research in Gaussian processes, uncertainty quantification, and optimization. He holds a PhD (2005) and HDR (2015) from Université Paris-Saclay, and has taught Bayesian statistics at CentraleSupélec. His work focuses on sequential design strategies, multi-fidelity simulations, and risk assessment in engineering and microbiology. He collaborates with institutions like the GdR MascotNum and PGMO, advancing methodologies for efficient simulation-based decision-making. His research includes applications in TBM excavation modeling, renewable energy integration, and food safety through quantitative microbial risk analysis. Education: École Normale Supérieure de Cachan (1997–2001), DEA/M2 in Mathematics (2001), PhD in Applied Mathematics (2005), Habilitation (2015). Research interests span Bayesian optimization, Gaussian process metamodeling, and stepwise uncertainty reduction (SUR) strategies. He develops algorithms for efficient sampling in expensive-to-evaluate systems, with applications to engineering, environmental modeling, and public health. His recent articles emphasize quantile set inversion, risk assessment in food safety, and scalable Gaussian process methods. Collaborations include projects on railway infrastructure digital twins (MINERVE) and multi-year renewable energy planning. He has contributed to open-source tools like the STK toolbox for kriging.

Juan José Arranz Santosمشاهده پروفایل

استاد

• Animal Genetics
• Genomics
• Dairy Sheep Production
• +۳ مورد دیگر

Juan José Arranz Santos is a Professor at the University of León, affiliated with the Faculty of Veterinary Science and Department of Animal Production. His research focuses on animal genetics , genomics , and feed efficiency in dairy sheep, with significant contributions through the MEGA MEJORA GENÉTICA ANIMAL research group. He is actively involved in genomic selection programs and uses machine learning and transcriptomic analysis to improve dairy sheep productivity and resilience. Education : Ph.D. in Animal Production from the University of León (1994) His research synthesizes genomic , transcriptomic , and microbiome data to identify biomarkers for feed efficiency, milk quality, and disease resistance. Recent work includes developing the SMARTER-database for integrating sheep/goat genomic data and analyzing epigenetic impacts of early nutrition on lactation performance. Key sub-fields include selective sweeps , long non-coding RNAs , and circular transcriptomes in ruminants. The 15 most recent publications (2025-2023) reveal trends in machine learning applications for feed efficiency prediction, SNP array integration , lncRNA annotation , and milk metabolite biomarkers . His work spans functional genomics, microbiota analysis, and innovative educational tools like gamification for teaching quantitative genetics . Research Groups : MEGA MEJORA GENÉTICA ANIMAL

David Hendrixمشاهده پروفایل

استاد

• Bioinformatics
• Computational Biology
• Biological Data Science
• +۳ مورد دیگر

David Hendrix is a Professor in the Department of Electrical Engineering and Computer Science at Oregon State University, affiliated with both the College of Engineering and the College of Sciences. His research focuses on computational biology, bioinformatics, and machine learning applied to RNA and DNA analysis. He leads the Hendrix Lab, which develops algorithms to study non-coding RNAs and integrates structural predictions with genomic data. His work bridges molecular biology and computational techniques, addressing gene regulation and RNA function. Education : Postdoc, CSAIL, Massachusetts Institute of Technology Postdoc, University of California, Berkeley Ph.D., Physics, University of California, Berkeley B.S., Applied Mathematics & Physics, Georgia Institute of Technology Research Interests : The lab investigates RNA secondary structures, machine learning for bioinformatics, and non-coding RNA mechanisms. Key projects include developing tools like mRNN (predicting coding potential) and bpRNA (RNA structure analysis), supported by grants and collaborations. Articles Trends : Recent work emphasizes RNA structure prediction, machine learning in genomics, and applications in plant and viral biology. The lab’s methods are applied to hop genetics, cancer biology, and aging-related transcriptomics. Awards : 2022 Wayne & Gladys Valley Foundation BioHealth Fellow 2021 College of Science Dean’s Early Career Achievement Award 2019 University Mentoring and Professional Development Award Advising & Grants : Dr. Hendrix oversees a lab focused on interdisciplinary projects, with funding from NIH and NSF. Students and postdocs collaborate on computational tools and biological data integration. Labs/Teams : The Hendrix Lab collaborates with bioinformatics, molecular biology, and engineering groups, emphasizing open-source software and data-driven discoveries.