جست‌وجوی استاد و پژوهشگر

Jillian Bohlenمشاهده پروفایل

دانشیار

• Animal Reproduction
• Dairy Science
• Reproductive Management
• +۵ مورد دیگر

Jillian Bohlen is an Associate Professor at the University of Georgia within the College of Agricultural & Environmental Sciences , specifically the Department of Animal and Dairy Science . Her work focuses on dairy cattle reproduction, teaching, and youth development in agricultural sciences. Education: B.S. in Dairy Science, University of Georgia (2003) M.S. in Dairy Science, University of Georgia (2005) Ph.D. in Animal Sciences, Clemson University (2012) Dr. Bohlen's research emphasizes applied reproduction in cattle , including synchronization techniques, ultrasound applications in reproductive programs, and embryo competency. She integrates students into all research projects despite lacking a formal research appointment. Her teaching interests span dairy cattle production , reproductive management , and contemporary agricultural issues , with courses like ADSC 3620 (Dairy Cattle Production), ADSC 4010 (Issues in Animal Agriculture), and ADSC 4410 (Applied Reproductive Management). Scientific awards include: Student Career Success Influencer Award (2024) Russell Award for Excellence in Undergraduate Teaching (2023) UGA Creative Teaching Award (2022) CAES Early Career Teaching Award (2022) Hoard's Dairyman Youth Development Award (2021) Larry Benyshek Teaching Award (2017) She actively promotes agricultural education through programs like the Commercial Heifer Project , Dairy Cattle Judging , and Dairy Quiz Bowl . Additionally, she participates in funded projects related to methane emissions , heat stress mitigation , and antibiotic alternatives in dairy farming.

Yin Baoمشاهده پروفایل

استادیار

• Robotics and Controls
• Agricultural Automation
• Precision Farming
• +۴ مورد دیگر

Yin Bao is an Assistant Professor in Plant and Soil Sciences and Mechanical Engineering at the University of Delaware since 2023, previously holding the same position at Auburn University's Department of Biosystems Engineering (2019-2023). He holds a BE in Mechanical Engineering from China Agricultural University (2012) and a PhD in Agricultural and Biosystems Engineering from Iowa State University (2018), followed by postdoctoral research there until 2019. His research focuses on automation technology for agriculture and forestry, leveraging robotics, machine learning, and sensing systems to develop tools for precision farming and plant phenotyping. Key areas include unmanned systems (UGVs/UAVs), spectral imaging, and AI-driven predictive models for crop and livestock management. Recent work emphasizes automated inventory systems for forest nurseries, UAV-based vegetation assessment, and machine learning applications in crop yield prediction. His publications span robotic guidance systems, root segmentation in X-ray CT scans, and equine gait analysis using deep learning. Notable projects include the Robotic Assay for Drought (RoAD) system and the 'smart canopy' sorghum initiative. Collaborative efforts involve integrating multifrequency microwave sensing and electronic nose technologies for crop quality analysis.

David Ericksonمشاهده پروفایل

استاد

• Global Health Technology
• Medical Diagnostics
• Microfluidics
• +۵ مورد دیگر

David Erickson is the SC Thomas Sze Director and Sibley College Professor at Cornell University's Sibley School of Mechanical and Aerospace Engineering. He also holds a joint professorship in the Division of Nutritional Sciences. His research focuses on global health technologies, medical diagnostics, microfluidics, photonics, nanotechnology, and energy systems. He previously served as Associate Dean of Engineering for Research and Graduate Programs. Erickson leads the NIH-funded PORTENT Center for Point-of-Care Technologies in Global Health and has co-founded companies like Dimensional Energy and VitaScan to commercialize diagnostic and energy technologies. Education: B.Sc., Mechanical Engineering, University of Alberta (1999) M.A.Sc., Mechanical Engineering, University of Toronto (2001) Ph.D., Mechanical Engineering, University of Toronto (2004) Postdoctoral Scholar, Electrical Engineering, California Institute of Technology (2005) Research Interests: Erickson’s work spans global health diagnostics , nanobio applications , and clean energy innovation . He develops portable medical devices for low-resource settings, including smartphone-integrated diagnostic tools for malaria, iron deficiency, and cancer. His lab also pioneers photothermal reactors for CO2 conversion into sustainable fuels. Key areas include: Point-of-care testing for infectious diseases and nutritional deficiencies Nanofluidic and optofluidic technologies for biomolecular analysis Solar-driven energy systems for carbon-neutral fuels Awards: Presidential Early Career Award for Scientists and Engineers (2011) Fellowships from the Optical Society, ASME, and Canadian Academy of Engineering Carbon X-Prize Finalist (2019) for Dimensional Energy’s CO2-to-fuel technology Grants & Industry Collaboration: Erickson’s research is funded by NIH, NSF, ARPA-E, DOE, and USAID. His lab’s innovations have spun off start-ups addressing global health and energy challenges. Notable projects include: - Portable cancer diagnostics in sub-Saharan Africa using mobile phone-based systems - Solar-powered CO2 conversion reactors tested in Wyoming and Arizona Labs & Teams: The Erickson Lab collaborates with the Cornell Atkinson Center for Sustainability and the McGovern Center for Entrepreneurship. Key initiatives include the PORTENT Center and the Dimensional Energy CO2-to-fuel project.

Olga Saukhمشاهده پروفایل

دانشیار

• Efficient Machine Learning
• Deep Learning
• Embedded Systems
• +۱۲ مورد دیگر

Olga Saukh is an Associate Professor at the Institute of Technical Informatics, Graz University of Technology (TU Graz), and a Faculty member at the Complexity Science Hub Vienna (CSH). She leads the Embedded Learning and Sensing Systems research group, which operates across both institutions, focusing on the design and deployment of efficient AI-based systems on edge and mobile platforms. Her work bridges deep learning and embedded systems, with applications in environmental monitoring, precision agriculture, and digital health. Ph.D. in Computer Science, University of Bonn (2009) Habilitation in Embedded Systems, TU Graz (2020) Postdoctoral Training, ETH Zurich (2010–2016) B.Sc. in Applied Mathematics, Taras Shevchenko National University of Kyiv (2002) M.Sc. in Applied Computer Science, University of Freiburg (2004) Her research centers on efficient machine learning, particularly model optimization, neural network pruning, and contrastive learning for resource-constrained devices. She is deeply engaged in solving real-world challenges in IoT, sensor networks, and cyber-physical systems. Her work emphasizes data privacy, sustainability, and practical deployment of AI at the edge. The 15 most recent publications highlight a strong trend in efficient deep learning, including model compression, pruning, and transfer learning, applied to diverse domains such as environmental sensing (air quality, pollution tracking), digital agriculture (cattle farming), and embedded AI (sensor calibration, on-demand sensing). Her work frequently appears in top-tier venues like NeurIPS, ICLR, and IEEE/ACM IPSN, reflecting her leadership at the intersection of machine learning and embedded systems. Scientific awards include: CONET Ph.D. Academic Award (2010) Multiple Best Paper Awards at IEEE PerCom, ACM/IEEE IPSN, IEEE ICPADS, IEEE SECON, and UrbCom Spotlight and Oral presentations at ICML and CoLLAs workshops Ph.D. scholarship from IPVS, University of Stuttgart (2004–2005) Prizes in Ukrainian national mathematics competitions (1996–1998) Olga Saukh actively serves on program committees of leading international conferences in machine learning and embedded systems. She has advised multiple students and leads a collaborative research group spanning TU Graz and CSH Vienna. Her group develops practical AI systems for real-world deployment, with a focus on sustainability and privacy. She co-organizes the public EfficientML reading group and has secured recognition through numerous grants and awards. Her future work continues to explore the theoretical and practical challenges of deploying efficient, trustworthy AI in mobile and embedded environments. Her research group, Embedded Learning and Sensing Systems, operates jointly between TU Graz and CSH Vienna, fostering interdisciplinary collaboration across institutions. The team develops AI solutions for edge computing, sensor networks, and cyber-physical systems, with a strong emphasis on environmental sustainability and data privacy. Members work on joint challenges using advanced collaboration tools, reflecting the distributed nature of modern academic research.

Larissa Schlegel-Papeمشاهده پروفایل

پژوهشگر

• Poultry Science
• Animal Welfare
• Stress Assessment in Chickens
• +۴ مورد دیگر

Larissa Schlegel-Pape serves as a Scientific Associate at the Department for Ornamental and Pedigree Poultry within the Farm Animal Clinic of Freie Universität Berlin's Faculty of Veterinary Medicine. Her work focuses on developing innovative methods for assessing chicken welfare through the creation of the "Stressed Chicken Scale," which aims to systematically identify stress indicators in poultry. Her research interests center on animal welfare science, specifically stress assessment in chickens using both behavioral observation and computer vision technology. She investigates how body posture, movement patterns, and other visual indicators can reliably signal discomfort or stress in poultry, with the goal of creating practical assessment tools for veterinarians and poultry farmers. Her work bridges veterinary medicine, ethology, and technological innovation, contributing to refinement research (one of the 3Rs principles) in animal husbandry. Analysis of her publications reveals a strong focus on developing and validating the Stressed Chicken Scale across multiple contexts. Her work spans methodological development, practical implementation studies, and technological integration with computer vision systems. The research demonstrates progression from conceptual framework to validation studies and practical application, with increasing sophistication in assessment techniques and broader implications for animal welfare standards in poultry farming. Schlegel-Pape actively collaborates with the Federal Institute for Risk Assessment (BfR) and participates in interdisciplinary projects involving artificial intelligence applications in agriculture. She presents her findings regularly at major German veterinary conferences including the DVG (Deutsche Veterinärmedizinische Gesellschaft) events, DACh Epidemiology conferences, and specialized poultry medicine gatherings. Her work contributes significantly to advancing animal welfare assessment methodologies and promoting refinement in poultry husbandry practices.

Lilong Chaiمشاهده پروفایل

دانشیار

• Precision Poultry Farming
• Climate-smart Animal Production
• Animal Welfare
• +۳ مورد دیگر

Dr. Lilong Chai serves as an Associate Professor & Engineering Specialist in the Department of Poultry Science at the University of Georgia's College of Agricultural and Environmental Sciences, with affiliate status at the UGA Institute of Integrative Precision Agriculture. His work integrates engineering principles with animal science to advance sustainable poultry production systems through climate-resilient practices and precision farming technologies. His academic foundation includes a Ph.D. in Agricultural and Bio-environmental Engineering from China Agricultural University (2005-2011), B.S. from Anhui Agricultural University (2001-2005), joint Ph.D. studies at Purdue University (2008-2010), and postdoctoral research at Iowa State University (2015-2018) and Agriculture and Agri-Food Canada (2012-2015). Dr. Chai's research program centers on precision poultry farming, climate-smart animal production, and animal welfare enhancement. He pioneers applications of deep learning, computer vision, and environmental engineering to develop real-time monitoring systems for poultry behavior, health indicators, and housing conditions. His work addresses critical industry challenges including floor egg management, footpad dermatitis detection, air quality control, and disease prevention in cage-free systems, emphasizing practical solutions that balance productivity with ethical animal husbandry. Analysis of his 2023-2025 publications reveals dominant themes in AI-driven behavioral monitoring (dustbathing, perching, foraging), thermal imaging for welfare assessment, and sustainable waste management. These studies consistently bridge agricultural engineering, veterinary science, and data analytics to create scalable precision farming tools applicable across commercial poultry operations. His scientific recognition includes 20 major awards such as: Educational Aids Blue Ribbon Award from ASABE (2024) NACAA Communications Award for Precision Poultry Farming Education (2023) Georgia Research Alliance's Georgia Greater Yield selection (2023) ASABE Outstanding Associate Editor Award (2022) Dr. Chai has secured $5 million through 40 competitive grants from USDA-NIFA, NSF, and international agencies as PI/Co-PI. He actively translates research into practice through leadership roles including Coordinator of the Georgia Precision Poultry Farming Conference, Chair of ASABE's Environmental Air Quality Committee, and reviewer for major research foundations. His extension work directly impacts industry stakeholders through annual training programs serving Georgia's poultry sector. His research infrastructure operates within UGA's Poultry Science Department and the Institute of Integrative Precision Agriculture, where he collaborates with interdisciplinary teams to develop next-generation monitoring systems integrating robotics, thermal imaging, and foundation models for real-world poultry applications.

Gary Brewerمشاهده پروفایل

استاد

• Field Crops Entomology
• Insect Ecology
• Insect Pest Management
• +۳ مورد دیگر

Dr. Gary Brewer is a Professor in the Department of Entomology at the University of Nebraska-Lincoln, with a 60% research and 40% teaching appointment. He has served as department head at NDSU (1997-2006) and UNL (2006-2018). His research focuses on field crops entomology, IPM of pasture cattle flies, salt creek tiger beetle conservation, and pollinator health. He has pioneered a push-pull strategy using coconut oil-derived repellents and led curriculum design for Rwanda’s Conservation Agriculture program. Education: B.S. in Zoology, University of Nebraska-Lincoln (1974) M.S. in Entomology, University of Nebraska-Lincoln (1978) Ph.D. in Entomology, Kansas State University (1984) Research Interests: Brewer’s work spans insect ecology, pest management, and conservation. Key areas include stable fly and horn fly control, pollinator protection, and endangered species recovery (e.g., Salt Creek tiger beetle). His lab develops natural product-based pest repellents and evaluates biopesticides for sustainable agriculture. Grants & Contributions: $362,150 USDA grant for undergraduate research in beneficial insect protection (2018) $325,000 USDA grant for multi-tactic stable fly control (2017) NE Game and Parks funded salt creek tiger beetle reintroduction programs Labs & Teams: Brewer’s team collaborates with industry (e.g., Vestergaard Frandsen) and international partners to advance IPM strategies. His work bridges field research with applied solutions for farmers and conservationists.

Michael Siegristمشاهده پروفایل

استاد

• Risk perception
• Risk communication
• Acceptance of new technologies
• +۷ مورد دیگر

Michael Siegrist is a Full Professor of Consumer Behavior at ETH Zurich's Department of Health Sciences and Technology. His research focuses on risk perception, risk communication, acceptance of new technologies, and decision making under uncertainty, with particular emphasis on food and consumer behavior. He has established himself as a leading researcher in understanding how people perceive risks related to food, chemicals, and emerging technologies. Dr. Siegrist earned his education at the University of Zurich, where he studied psychology, economics, and mass communication. He completed his dissertation in 1994 and his Habilitation in 2001 at the Faculty of Arts. Between 1998-2000, he was a visiting researcher at Western Washington University, funded by the Swiss National Science Foundation. He began teaching and research activities at ETH Zurich in 2004 and became a Full Professor there in 2007. His research interests span risk perception and communication, with particular focus on food safety, disgust sensitivity, naturalness perception, and sustainability. His work examines how consumers evaluate risks related to food technologies, chemicals, and environmental issues. He has published extensively on topics including cultured meat acceptance, food labeling, household chemical safety, and the psychological factors influencing consumer decisions under uncertainty. His research often employs cross-cultural approaches, comparing consumer perceptions across different countries and demographic groups. Dr. Siegrist's publications reveal a strong trend toward understanding the psychological mechanisms behind consumer acceptance of novel food technologies, particularly alternative proteins. His recent work increasingly focuses on sustainability issues in food consumption, examining how consumers perceive environmental impacts of food choices and respond to policy measures aimed at promoting sustainable eating habits. He has made significant contributions to understanding how naturalness claims, disgust sensitivity, and cultural factors shape food preferences and risk perceptions. As an active researcher, Dr. Siegrist collaborates with numerous colleagues across disciplines, including veterinary science, nutrition, and agricultural technology. His work spans both theoretical contributions to risk perception frameworks and practical applications for food industry and policy development.

Dermot J Hayesمشاهده پروفایل

استاد

• Agricultural Economics
• International Trade Policy
• Commodity Markets
• +۵ مورد دیگر

Dermot J Hayes is the Charles F. Curtiss Distinguished Professor in Agriculture and Life Sciences and holds the Pioneer Hi-Bred International Chair in Agribusiness at Iowa State University's Department of Economics and Ivy School of Business. His expertise spans agricultural economics, financial economics, and international trade policy with a focus on commodity markets, farm policy, and China's agricultural impacts. Education: Ph.D. and M.S. in Agricultural Economics from the University of California, Berkeley (1986 and 1982). Research Interests: Includes U.S. farm policy, international trade dynamics, agribusiness strategies, crop insurance, financial derivatives, and China's role in global commodity markets. His work emphasizes policy analysis, market resilience, and emerging challenges like disease outbreaks (e.g., African Swine Fever). Awards: AAEA Fellow (2007), AAEA Enduring Quality Award (2006), and J.H. Ellis Teaching Award (2005). His research on food safety auctions remains influential. Consulting: Since 1995, he has advised the National Pork Producers Association on trade economics. His work informs policy debates on tariffs, trade deals, and market disruptions. Labs & Collaborations: Engaged with Iowa State's interdisciplinary initiatives on agriculture-environmental nexus and bioenergy systems.

• Digital Agriculture
• Machine Systems Engineering
• Data Science
• +۴ مورد دیگر

Dr. Dennis Buckmaster is a Professor in Agricultural & Biological Engineering at Purdue University, serving as Dean's Fellow for Digital Agriculture. He holds a B.S. from Purdue University and M.S./Ph.D. from Michigan State University. His research focuses on digital agriculture, machine systems engineering, and data science applications in farming. He co-coordinates the Agricultural Systems Management program and teaches courses like Computing Technology with Applications and Ag Tech and Innovation. He leads the Open Ag Technology and Systems Center (OATS Center), advancing open-source solutions for agriculture through platforms like ISOBlue and OADA. His work integrates IoT, robotics, and machine learning to optimize crop production, livestock management, and farm decision-making. He has authored over 150 publications on precision agriculture technologies. Professional memberships include American Society of Agricultural and Biological Engineers and Fluid Power Society. He emphasizes data interoperability, edge computing, and bridging engineering with agricultural practices through collaborative frameworks like LATTICE and Meta Ag.

Pamela Ronaldمشاهده پروفایل

استاد

• Plant Genetics
• Crop Improvement
• Plant-Microbe Interactions
• +۳ مورد دیگر

Pamela Ronald is a Distinguished Professor of Plant Pathology at the University of California, Davis, affiliated with the Department of Plant Pathology within the College of Agricultural and Environmental Sciences. Her research focuses on understanding and enhancing crop resilience, particularly in rice, through genetic and molecular mechanisms. Key areas include plant immunity against pathogens, climate adaptation, and sustainable agricultural practices. Education and Background: Details on her academic qualifications are not explicitly mentioned in the provided text, but her career trajectory suggests advanced training in plant genetics and pathology. Research Interests: Ronald’s work centers on engineering disease-resistant crops, studying plant-microbe interactions, and developing climate-resilient varieties. Notably, she has contributed to identifying genes like XA21 that confer resistance to bacterial infections and pioneered methods to reduce methane emissions in rice. Her studies also explore the role of sulfated peptides in pathogen virulence and host defense mechanisms. Publications Trends: Her recent articles emphasize molecular mechanisms of plant immunity, genetic engineering applications, and sustainability challenges. Themes include directed evolution of immune receptors, machine learning in genotype-phenotype prediction, and mitigation of agricultural greenhouse gases. Awards and Recognition: While specific awards are not listed here, her leadership in plant genetics and advocacy for evidence-based biotechnology policies reflect significant recognition in her field. Grants and Advising: Ronald has led projects funded by agencies like the U.S. Department of Energy, focusing on bioenergy crops like switchgrass. She collaborates globally on initiatives such as the Rice Protein Tagging Project and the AI Institute for Next Generation Food Systems. Labs and Teams: She directs the Crop Genetics Innovation Lab at UC Davis, fostering interdisciplinary research in crop improvement and sustainable agriculture.

• Livestock Systems
• Animal Breeding
• Genetics
• +۳ مورد دیگر

Matteo Bolner is a Post-Doctoral Research Fellow at the University of Bologna's Department of Agricultural and Food Sciences, specializing in livestock genomics and metabolomics. He holds a PhD in Agricultural and Food Sciences (defended March 2025) and an International Master in Bioinformatics from the University of Bologna. His research integrates genomic and metabolomic data to improve livestock sustainability, particularly in pig production systems. Key focuses include identifying metabolic pathways influencing production traits, analyzing pig viromes for disease outbreaks, and leveraging big data for One Health applications. His educational background includes a Biological Sciences degree (2018) and a bioinformatics master's (2021). He interned at CINECA's SCAI department, focusing on HPC software containerization. Current affiliations include membership in the Animal and Food Genomics group, where he explores genomic solutions for breed conservation and sustainable production. Research trends in his articles emphasize multi-omics integration to understand pig metabolism, stress responses, and breed-specific adaptations. He also applies genomics to authenticate food products and enhance conservation strategies for endangered livestock breeds like the Mora Romagnola pig. His work bridges animal science, computational biology, and agricultural sustainability. Notable contributions include developing genomic tools for honey bee population analysis and creating a catalog of mitochondrial insertions in pig genomes. Future directions involve advancing metabolomics-based precision livestock farming and applying big data analytics to livestock One Health challenges.

Renske Hijbeekمشاهده پروفایل

دانشیار

• Agricultural Systems
• Crop Production
• Soil Fertility Management
• +۵ مورد دیگر

Dr. Renske Hijbeek is an Associate Professor at the Plant Production Systems group of Wageningen University & Research. Her research focuses on nutrient management in arable farming systems, emphasizing soil fertility improvement through organic waste recycling, legume cultivation, and minimizing environmental impacts like greenhouse gas emissions. She teaches courses including 'The Carbon Dilemma - A Soil Perspective' and 'Analysing Sustainability of Farming Systems'. Key projects include the GRA Benchmarking Nutrient Circularity and EDF Soil Carbon Sequestration initiatives. Her work integrates agronomy with ecological principles to achieve sustainable agricultural practices globally. Research Contributions: Dr. Hijbeek's projects address nutrient circularity, soil carbon dynamics, and organic amendment efficiency across temperate and tropical regions. Recent work explores dietary impacts on nitrogen fertilizer dependency and systemic redesign of food production systems. Collaborations: Active in international collaborations like the Global Crop Nutrient Removal Database and the CATCH-C Legumes project in Tanzania. Her interdisciplinary approach bridges crop science, environmental management, and policy analysis.

Eric Morganمشاهده پروفایل

استاد

• Parasitology
• Epidemiology
• Climate Change Impact on Disease Dynamics
• +۶ مورد دیگر

Professor Eric Morgan at Queen's University Belfast leads parasitology research in the School of Biological Sciences , focusing on climate-driven epidemiology of parasitic infections in animals. His work integrates predictive modeling, parasite transmission dynamics at the wild-domestic interface, and sustainable livestock health solutions. Veterinary parasitology and climate change impact Anthelmintic resistance mitigation strategies AI-enhanced diagnostic systems for animal health Current research students include Anthony George, who investigates Combining alternative approaches for helminth control in grazing livestock . Public engagement initiatives like the BUG Consortium and Poo Patrol translate findings into practical parasite management. His recent publications in 2025 address topics like flood reactors, zoonotic toxocariasis, and precision agriculture tools for parasite risk assessment.

Rachel Sippyمشاهده پروفایل

پژوهشگر ارشد

• Epidemiology
• Vector-Borne Diseases
• Dengue Fever
• +۴ مورد دیگر

Rachel Sippy is a Research Fellow at the University of Cambridge , specializing in epidemiology and infectious disease dynamics within the Department of Psychiatry . Her work bridges public health, climate science, and computational methods.