جست‌وجوی استاد و پژوهشگر

• Geoforensics
• Social Network Analysis
• Biosurveillance
• +۳ مورد دیگر

Elisa Bienenstock is a Research Professor at the School of Public Affairs (SPA), Arizona State University (ASU). Her work bridges social science with applied research in policy, geoforensics, and network analysis, contributing to interdisciplinary fields such as biosurveillance, urban resilience, and STEM education integrity. She is affiliated with the ASU Web Directory, though updates to her profile may be temporarily affected due to migration between May 26 and June 6, 2023. Dr. Bienenstock’s research interests are centered on geoforensic methodologies, particularly palynology-based search models, and the application of social network analysis to diverse domains. Her work explores how spatial and environmental factors influence plant-pollinator ecosystems, biosurveillance through wastewater networks, and the structural dynamics of social capital and infrastructure. She also investigates cultural and economic narratives, such as the American Dream’s evolving concepts and the implications of surveillance in governance. Earlier contributions include studies on dolphin social networks and experimental game theory models in exchange networks. Her recent publications (2023–2025) highlight an interdisciplinary focus, addressing geoforensic challenges in pollen distribution, biosurveillance optimization, and sociopolitical themes through metaphorical analysis. She examines how human-mediated environmental changes impact forensic models and evaluates social infrastructure’s role in urban resilience. Earlier work includes foundational studies on network theory applications in conflict, cultural transmission, and labor-force participation, showcasing her long-standing engagement with complex social systems and their analytical frameworks. Elisa Bienenstock has not been explicitly mentioned to have received any scientific awards or fellowships in the provided texts. While no formal advisees or grant details are listed here, her extensive research output indicates involvement in collaborative projects and academic mentorship. Further details on her students or grants are currently unavailable in the provided information. No specific laboratories or research teams are mentioned in the texts related to Elisa Bienenstock’s current or past affiliations.

Vilis O Namsمشاهده پروفایل

استاد

• Ecology
• Animal Behavior
• Conservation Biology
• +۳ مورد دیگر

Vilis O Nams is a Full Professor at Dalhousie University's Faculty of Agriculture, specializing in ecology, animal behavior, and conservation biology. His research integrates statistical modeling, fractal analysis, and field studies to explore animal movement patterns, habitat use, and ecological interactions. He has held visiting roles at institutions like James Cook University and the Spanish National Research Council. His work spans diverse taxa, including carnivores, pollinators, and agricultural systems. Key research interests include predator-prey dynamics, edge effects on animal dispersal, and the application of fractal geometry to ecological problems. He has pioneered methods for analyzing animal movement paths and their implications for habitat conservation. Collaborations with ecologists and biostatisticians have yielded influential studies on topics like blueberry pollination, wildlife telemetry, and the impacts of environmental management practices. His publications emphasize interdisciplinary approaches, such as combining movement data with behavioral sensors to detect cognitive changes in dementia patients, and developing cost-effective tools for studying arthropod behavior. Nams' work bridges theoretical ecology and practical conservation, with applications in both natural and agricultural ecosystems.

Martin Remmeleمشاهده پروفایل

استاد

• Biology Education
• Science Education
• Digital Learning Technologies
• +۴ مورد دیگر

Martin Remmele is a Professor of Biology and Science Education at the University of Trier since April 2024. Previously, he held roles as Academic Oberat (2023), Academic Rat (2018), and Realschullehrer (2006–2016) at Karlsruhe University of Education (PH Karlsruhe) and administrative duties at TU Braunschweig (2022). His research focuses on two primary areas: (1) the impact of digital stereoscopic visualizations on science teaching and learning, particularly in anatomy education, and (2) Species Literacy —familiarity with species and strategies to enhance identification skills in educational contexts. He has published extensively on these topics, including studies on virtual reality, game-based learning, and environmental education. Recent publications (2024–2025) highlight his work in citizen science projects (hazel dormouse tracking), plant biodiversity (schoolyard ecology), and educational technology (BirdNET audio recognition). His 2023–2021 studies explore invasive species perception, wildlife value orientations, and the role of visual realism in learning. Remmele serves as co-editor of Unterricht Biologie (since 2023) and has contributed to advisory boards for the Black Forest National Park (2018–2020) and Karlsruhe Wildlife Rescue Center (2018–2022). He is a member of the German Society for Biology Didactics (since 2014) and the German University Association (since 2024). His educational background includes a Dr. phil. summa cum laude (2016) from PH Karlsruhe on stereoscopic human anatomy education, a First State Examination (2004) from PH Heidelberg, and a Second State Examination (2006) in Karlsruhe. His teaching emphasizes pedagogical innovation, with a focus on digital tools , species identification games , and climate change curriculum integration .

Mark Beeمشاهده پروفایل

استاد

• Acoustic Communication
• Auditory Neuroscience
• Behavioral Ecology
• +۴ مورد دیگر

Mark Bee is a Professor at the University of Minnesota , affiliated with the College of Biological Sciences , Department of Ecology, Evolution, and Behavior , and graduate programs in Ecology, Evolution, and Behavior and Neuroscience . He leads the Animal Communication Laboratory and contributes to the Center for Applied and Translational Sensory Science . Research Interests : Acoustic communication, auditory neuroscience, behavioral ecology, bioacoustics, comparative psychology, neuroethology, and sensory ecology. His work focuses on auditory scene analysis in frogs, examining how they process acoustic signals in noisy environments. Recent publications highlight neural mechanisms , hormonal influences on mating behavior , and evolutionary adaptations to chorus noise. Awards include the Distinguished McKnight University Professor title. Notable former students include Robin Suyesh (Assistant Professor, Sri Venkateswara College), Jessie Tanner (NSF Postdoctoral Fellow), and Alejandro Vélez (Assistant Professor, San Francisco State University). Current lab members work on topics like hormone-driven calling behavior and auditory grouping in treefrogs. Selected Scientific Awards : Distinguished McKnight University Professor, University of Minnesota.

• Computer Vision
• Signal Processing
• Machine Learning
• +۴ مورد دیگر

Vedran Jovanović serves as a Senior Lecturer at the Department of General Electrical Engineering, Faculty of Electrical Engineering, University of Banja Luka. His academic career centers on interdisciplinary research bridging computer vision, signal processing, and biohybrid engineering systems with practical applications in security, environmental monitoring, and industrial automation. His primary research domains include Computer Vision, Signal Processing, Machine Learning, Biohybrid Systems, Robotics, Sensor Networks, and Land Use Classification. Jovanović has pioneered video analysis techniques for honeybee activity monitoring in explosive detection systems and developed novel algorithms for small object detection in UAV surveillance footage. His work in offshore aquaculture monitoring addresses splash and cage detection challenges through deep learning approaches. Analysis of his recent publications reveals a pronounced focus on applying machine learning to humanitarian and industrial challenges, particularly in biohybrid landmine detection systems and precision robotics calibration. His most impactful work appears in journals such as Sensors, Science of the Total Environment, and Remote Sensing, demonstrating consistent methodological innovation across computer vision and signal processing domains. Dr. Jovanović actively participates in multiple research initiatives including the NATO-funded "Biological Methods (Bees) for Explosive Detection" project (2017-2021, 300,415 BAM) and current national projects such as "Signal Processing using Embedded Computer Systems and Machine Learning" (2025, 9000 BAM) and "Development of STEM Skills and Interests in School Children" (2025, 3000 BAM), where he contributes expertise in machine learning and computer vision systems development. He collaborates extensively within the University of Banja Luka's research ecosystem, particularly with the Signal Processing and Bioengineering groups, focusing on smart sensor technologies for environmental monitoring and industrial applications.

Linda Kingمشاهده پروفایل

استاد

• Insect Virology
• Baculovirus Expression Systems
• Biotechnology
• +۳ مورد دیگر

Professor Linda King is a leading academic at Oxford Brookes University , serving as Pro Vice-Chancellor for Research and Global Partnerships. She earned her BSc and DPhil in molecular virology from Oxford University and has been a faculty member at Oxford Brookes since 1986, ascending to Professor in 1998. Professional Memberships: Society for General Microbiology, Society for Invertebrate Pathology, Fellow of the Society of Biology Her research focuses on insect virology and biotechnology , particularly baculovirus expression systems . She pioneered the flashBAC platform for recombinant virus production and co-founded Oxford Expression Technologies Ltd , a biotech spin-out. Recent research trends include viral protein trafficking , gene therapy applications in organ transplantation, and vaccine development against zoonotic pathogens. She has secured major grants from DEFRA (£420,557) and BBSRC (£9,326) for projects like NanoZoo (2023-2026). Scientific Awards: Fellow of the Society of Biology (FRSB) As a co-founding director of OET, she drives translational research. Her work spans bioimaging and protein engineering , with over 100 peer-reviewed publications and leadership roles in virology editorial boards.

Martin Bencsikمشاهده پروفایل

استاد

• Magnetic Resonance Imaging (MRI)
• Nuclear Magnetic Resonance (NMR)
• Beehive Condition Monitoring
• +۴ مورد دیگر

Dr. Martin Bencsik is a Professor at Nottingham Trent University's School of Science & Technology, with research spanning MRI/NMR physics and honeybee behavior monitoring. He leads undergraduate modules in Forensic Databases and Biometrics while pioneering the use of accelerometers for automated bee colony health assessment. PhD in MRI from University of Nottingham Lecturer at NTU since 2003, promoted to Professor in 2023 Collaborator with artist Wolfgang Buttress His research interests include: Non-invasive condition monitoring Machine learning for ecological data Bioacoustic signal analysis Hybrid MRI/NMR sensor systems Pollinator health assessment Medical physics safety Recent publications demonstrate a transition from: MRI pressure mapping in soft solids Microbubble contrast agents To: predictive analytics for bee colonies Acoustic identification of insects Environmental sensor networks He contributes to EPSRC and H2020 B-GOOD funded projects while maintaining active collaborations with D.C. De Graaf (Ghent University), M.I. Newton , and R.J. Paxton .

• Pesticide Detection
• Food Safety
• Biosensors
• +۳ مورد دیگر

Richard van Hoof is a Researcher at an unspecified institution, specializing in the development of advanced bioassay and biosensing technologies for food safety and environmental monitoring. His work focuses on: Pesticide detection in agricultural systems Allergen monitoring in complex food matrices Carbon nanoparticle-based biosensors Lateral flow assay optimization Pollinator health protection From 2019 to 2025, his publications reveal a strong emphasis on pesticide analysis (particularly fipronil and neonicotinoids) and innovative biosensor design using molecular techniques. Collaborations with teams like Smartcard and Bioassays & Biosensors indicate his involvement in integrated contaminant monitoring systems spanning field-to-laboratory workflows. His research outputs demonstrate expertise in translating laboratory innovations into practical applications through technologies like: LAMP-LFD platforms Carbon nanoparticle assays Microsphere multiplex systems Dried blood spot sampling Real-time PCR applications

• Population and Community Ecology
• Plant-Pollinator Interactions
• Spatial Ecology
• +۳ مورد دیگر

Professor William Kunin is a faculty member at the School of Biology , University of Leeds , serving as both Professor of Ecology and Deputy Head of School . His work bridges empirical research, theoretical modeling, and conservation policy. Education: AB in Biology (Princeton), MPP (Harvard Kennedy School), PhD in Zoology (University of Washington, 1991) Research focuses on: Spatial ecology of plant-pollinator interactions Conservation biology of rare species Multi-scale biodiversity dynamics Ecological modeling of extinction risk Development of national pollinator monitoring schemes Integration of weather radar for insect population tracking Recent publications highlight interdisciplinary approaches to biodiversity monitoring, including weather radar and acoustic technologies, with applications in agricultural and urban ecosystems. Funding sources include NERC , BBSRC , EU programs (ALARM, BESTMAP), and the Bill & Melinda Gates Foundation . Current advisee: Megan Tresise

Vladimir Kulyukinمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Computer Vision
• Robotics
• +۳ مورد دیگر

Vladimir Kulyukin is an Associate Professor in the Department of Computer Science at Utah State University. His research spans theoretical computer science, artificial intelligence, and robotics, with notable contributions to computability theory, bio-inspired computing, and assistive technologies for visually impaired individuals. He has pioneered work in non-invasive electronic beehive monitoring using machine learning, computer vision, and sensor networks, addressing challenges in precision agriculture and environmental science. Key research interests include formal methods in computability, neural network capabilities, and the intersection of robotics with human-centric applications. His work in assistive technologies includes innovations in blind navigation systems, mobile barcode scanning, and verbal route guidance for independent shopping. Recent articles highlight advancements in computability theory (e.g., universality theorems, primitive recursive functions), applications of YOLO networks for bee traffic analysis, and fusion of multimodal datasets for hive health monitoring. His interdisciplinary approach bridges theoretical foundations with practical implementations in agriculture, education, and accessibility. Notable projects include the development of BeePIV for bee traffic measurement, mobile PIV tools for fluid mechanics education, and the Shoptalk system for blind grocery shopping. These contributions underscore his commitment to both foundational research and real-world impact in STEM fields.

Taylor Rickettsمشاهده پروفایل

استاد

• Ecosystem Services
• Ecological Economics
• Conservation Biology
• +۵ مورد دیگر

Taylor Ricketts is the Gund Professor at the Rubenstein School of the Environment and Natural Resources, University of Vermont, and Director of the Gund Institute for Environment. His work bridges ecological and socioeconomic systems to address global sustainability challenges. He co-founded the Natural Capital Project, a collaboration between universities and NGOs to map and value natural benefits, and contributed to UN-led ecosystem assessments. Education: Ph.D. in Biological Sciences from Stanford University (2000), B.A. in Earth Sciences and Environmental Studies from Dartmouth College (1991). Research focuses on ecosystem services, ecological economics, conservation biology, and environmental policy. Notable roles include leading WWF’s Conservation Science Program and advising global conservation strategies. His research emphasizes the links between nature and human well-being, such as forests’ role in disease control, pollination’s impact on agriculture, and equitable resource management. Awards include AAAS and Ecological Society of America Fellowships. Key Projects: Natural Capital Project, UN Ecosystem Assessments, Living Landscapes Lab Grants/Partnerships: Collaborations with WWF, UN, and academic institutions Lab Team: Living Landscapes Lab integrates natural/social sciences to solve environmental problems Publications span over two decades, emphasizing policy-relevant science, biodiversity conservation, and health-environment intersections.

Sasha Mikheyevمشاهده پروفایل

استاد

• Genomics
• Evolutionary Biology
• Ecology
• +۴ مورد دیگر

Prof Sasha Mikheyev is a Professor in the Division of Ecology and Evolution at the Australian National University. His research focuses on evolutionary genomics, with a particular emphasis on understanding the genetic basis of adaptation, speciation, and host-parasite interactions. He has made significant contributions to studies on honeybees, varroa mites, and other insect systems, exploring topics such as genomic bottlenecks, venom evolution, and the molecular mechanisms underlying parthenogenesis. Research Themes: Genomics, Evolutionary Biology, Parasitology, Conservation Genetics Key Projects: Conservation Genomics of the Lord Howe Island Phasmid, Honey Bee & Pollination Industry National Colony Loss Survey, Environmental Protein for Varroa Detection His work bridges fundamental biology and applied conservation, with a strong focus on leveraging genomic tools to address ecological and evolutionary questions. Recent projects include analyzing the evolutionary history of European vipers' venoms and investigating the genomic underpinnings of social behavior in spiders. Awards and Recognition: While no specific named awards are listed, his research has garnered significant citation impact (h-index 34) and international collaboration networks. Advancing Techniques: He has pioneered methods for studying Varroa genomics and transcriptomics, including preservation and sequencing protocols. His lab also develops innovative tracking systems for colony behavior studies in honeybees. Future Directions: Ongoing projects include environmental DNA detection methods for invasive species and genomic studies of endangered insects like the Lord Howe Island stick insect.

Regina Pohle-Fröhlichمشاهده پروفایل

استاد

• Image Processing
• Pattern Recognition
• Computer Vision
• +۵ مورد دیگر

Regina Pohle-Fröhlich is a Professor of Computer Science and Graphical Data Processing at the Department of Electrical Engineering and Computer Science, Niederrhein University of Applied Sciences. Her research focuses on image processing, pattern recognition, computer vision, and medical imaging applications. Education: Diplom-Ingenieurin in Materials Engineering (1989), PhD in Image Analysis of Welding Defects (1995), Habilitation in Medical Image Analysis (2004) Her work spans applications in neuromorphic event cameras for outdoor monitoring, 3D city modeling, and biomedical image analysis. She collaborates extensively with institutions like the University of Cologne, German Aerospace Center, and Charité Berlin. Recent research trends include deep learning for event stream segmentation, semantic scene filtering, and advanced 3D reconstruction techniques. She actively participates in the iPattern Institute for Pattern Recognition and the Promotionskolleg NRW graduate institute. Key Projects: MLPCO (Machine Learning for Crop Output), KIRaPol.5G (AI for Radar Surveillance), BeeVision (Bee Population Monitoring), and EU/DFG-funded agricultural sustainability initiatives.

Francisco Javier Rodriguez Lozanoمشاهده پروفایل

استاد

• Stomatology
• Dental Biomaterials
• Stem Cell Research
• +۴ مورد دیگر

Francisco Javier Rodriguez Lozano is a Professor at the Faculty of Medicine of the University of Murcia, affiliated with the Department of Dermatology, Dentistry, Radiology and Physical Medicine . His research focuses on stomatology, dental biomaterials, and regenerative medicine, with a particular emphasis on the application of stem cells and advanced materials in dentistry. He is a member of the Hematology, Hematopoietic Transplantation and Cell Therapy research group. He holds three doctoral degrees: one from the University of Córdoba in Computer Science (2020), another from the University of Valencia in Biomedical Engineering (2021), and a third from the University of Murcia in Dentistry (2009). His academic supervisors included Dr. Joaquín Olivares Bueno, Dr. Leopoldo Forner Navarro, and Dr. Salvador Martínez Perez. Research Interests: Dr. Rodriguez Lozano’s work spans regenerative dentistry, biocompatible materials, and the interplay between oral health and systemic diseases. He explores artificial intelligence applications in medical diagnostics and has pioneered studies on graphene-based materials for bone regeneration. His research also addresses cytotoxicity evaluations of dental products and the role of stem cells in endodontic therapies. Publications Trends: His recent work emphasizes biomaterials (e.g., calcium silicate-based sealers, graphene composites) and their clinical applications. He has systematically reviewed links between oral dysbiosis and neurodegenerative diseases (e.g., Alzheimer’s, Parkinson’s), as well as oral health in chronic kidney disease. AI-driven diagnostic tools (e.g., bee hive monitoring, autism detection via eye-tracking) highlight his interdisciplinary approach. Awards & Grants: No specific awards or grants were mentioned in the provided texts. However, his extensive publication record reflects sustained research activity. Advising & Labs: While no current advisees are listed, his doctoral theses suggest expertise in guiding research in computational methods and biomaterials. His work is conducted within the University of Murcia’s medical and dental research facilities.

Matthew Tigheمشاهده پروفایل

استاد

• Environmental Modelling
• Pollution Science
• Chemometrics

Matthew Tighe is a Professor of Ecosystem Modelling in the School of Environmental and Rural Science at the University of New England. With expertise in environmental chemistry and statistical analysis, his research addresses pollution dynamics in terrestrial and aquatic systems. Key research areas include: Microplastic pollution pathways in protected environments Antimony and arsenic speciation in contaminated ecosystems Chemometric applications in environmental forensics His publications demonstrate advanced techniques in pollution tracking, including microplastic source identification in recreational areas and metal transformation kinetics in soils. Recent work examines contaminant interactions with climate extremes and innovative sensing technologies for soil characterization. Honors include multiple university teaching awards and editorial roles for scientific journals.