جست‌وجوی استاد و پژوهشگر

Lisa Fenkمشاهده پروفایل

پژوهشگر

• Behavioral Neuroscience
• Cognitive Neuroscience
• Cellular Neuroscience
• +۴ مورد دیگر

Lisa Fenk is a Lise Meitner Research Group Leader at the Max Planck Institute for Biological Intelligence in Martinsried, Germany. Her work bridges Behavioral & Cognitive Neuroscience and Cellular & Systems Neuroscience , using Drosophila and zebrafish to study sensory processing. Education: PhD in Neurobiology (2007–2011), University of Vienna; Diploma in Biology (2005–2007), Physics & French (1999–2005). Prior Positions: Postdoc at Rockefeller University (2015–2021), IMP Vienna (2012–2015). Her research explores how brains differentiate self-generated sensory input from external stimuli, focusing on retinal movements and efference copy mechanisms. She employs electrophysiology , calcium imaging , and behavioral genetics to decode neural circuits. Key trends in her 15 most recent articles (2007–2025) include: Visual processing in Drosophila and spiders Role of retinal muscles in sensory augmentation Asymmetric neural coding for object-background distinction Transcriptomic and optogenetic analysis of neural circuits Evolutionary neuroethology across species

Virginia L. Flanaginمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Behavioral Neuroscience
• Spatial Navigation
• +۵ مورد دیگر

Virginia L. Flanagin serves as an Associate Professor (außerordentlich) at Ludwig Maximilian University of Munich's Graduate School of Systemic Neurosciences (GSN) and leads a research group at the German Center for Vertigo and Balance Disorders (DSGZ). Her work integrates computational modeling with cognitive neuroscience to investigate spatial navigation and perception mechanisms. Research Focus: Specializing in Behavioral & Cognitive Neuroscience , she examines how sensory-motor information converts into cognitive spatial maps, emphasizing the vestibular system and hippocampus. Her methodology combines functional MRI, virtual reality, and psychophysics to explore sociocultural influences on spatial behavior, with secondary focus on Theoretical Neuroscience applications. Publication Trends: Her 15 publications (2005-2021) reveal progression from basic motion detection (fly studies) to complex human navigation research. Recent work incorporates deep learning (e.g., DeepVOG for eye tracking) and investigates neural plasticity in response to vestibular loss and specialized training like slacklining. Mentorship: She has guided nine students including: Phillip Graeff Eva Fraedrich (co-mentored) Nadine Hummel Magdalena Wutte Josephine Henke Theresa Raiser Christopher Roppelt Judita Huber Uma Navare Her research group likely operates through institutional funding at DSGZ. Research Environment: Based at DSGZ within LMU Klinikum, her team operates in a multidisciplinary hub integrating neurology, otolaryngology, and neuroscience to advance balance disorder research through clinical-basic science collaborations.

Michael Crossleyمشاهده پروفایل

استادیار

• Agricultural Entomology
• Molecular Ecology
• Eco-informatics
• +۵ مورد دیگر

Michael Crossley is an Assistant Professor and Agricultural Entomologist in the Department of Entomology and Wildlife Ecology at the University of Delaware's College of Agriculture & Natural Resources. He directs the Agricultural Entomology Lab and holds professional affiliations with the Entomological Society of America and the North American Coalition for Insect Agriculture. Education: Ph.D. in Entomology (minor in Geographic Information Systems), University of Wisconsin-Madison, 2019 M.S. in Entomology, University of Wisconsin-Madison, 2014 B.S. in Entomology, University of Wisconsin-Madison, 2011 Research Focus: Dr. Crossley integrates eco-informatics and population genomics to study insect ecology and evolution in agricultural landscapes. His work includes: Insect-based waste upcycling for animal feed Forecasting insect population changes Darkling beetle management in poultry systems Slug biocontrol using nematodes/beetles Computer vision for pest monitoring Teaching: Courses include ENWC 267 (Insects as Food), ENWC 311 (Insects in Agricultural Systems), ENWC 411/611 (Pest Management), ENWC 435/635 (Population Ecology), and ENWC 867 (Communicating Ecology).

Claus Melvadمشاهده پروفایل

استاد

• Mechatronics
• Robotics
• Metrology
• +۶ مورد دیگر

Claus Melvad is a Professor at the Department of Mechanical and Production Engineering, School of Engineering, Aarhus University. His primary research focuses on developing robotic systems and metrology equipment for extreme environments, including Arctic and rainforest regions. Expertise: Robotics, Metrology, Autonomous Vehicles, Sensor Systems Affiliation: Aarhus University School of Engineering Research Highlights: Melvad specializes in creating rugged, low-cost instruments for environmental monitoring. His work includes: Autonomous drones for biodiversity and disease monitoring in tropical regions Robotic ocean profilers for polar environments Modular autonomous surface vehicles (ASVs) for climate research Custom sensor systems for extreme condition calibration Publication Trends: Recent projects emphasize drone technology for remote biodiversity monitoring, low-cost Arctic instrumentation, and autonomous sampling systems. Keywords include environmental robotics, sensor development, and extreme environment engineering. Projects: Lead initiatives like GlacierPro (autonomous methane profiler), DISCO (student CubeSat program), and NORDACC (autonomous surface vehicle).

• Animal Orientation and Navigation
• Migratory Bird Biology
• Sensory Ecology
• +۷ مورد دیگر

Mark E. Deutschlander is a Professor of Biology at Hobart and William Smith Colleges (HWS), where he has been a faculty member since 2002. He earned his Ph.D. from Indiana University in 1998 and a B.S. summa cum laude from SUNY Geneseo in 1992. He is affiliated with the Department of Biology within the School of Arts and Sciences and conducts significant research at the Braddock Bay Bird Observatory (BBBO), where he also serves in leadership and advisory roles. Ph.D., Indiana University, 1998 B.S., SUNY Geneseo, 1992 (summa cum laude) His research focuses on animal orientation and navigation, particularly in migratory birds, with expertise in magnetic and celestial cues, ecophysiology of migration, and ultraviolet/polarized light photoreception. His work bridges sensory biology and migratory ecology, emphasizing how energetic condition influences orientation decisions. His publications span ornithology, sensory ecology, and insect agroecology, with recent papers exploring magnetic navigation, fuel reserves, and tracking methodologies. A recurring theme in his research is the integration of sensory cues for spatial orientation in birds. Scientific Awards and Professional Roles: Certified Bird Banding Trainer, North American Bird Banding Council President, Wilson Ornithological Society Associate Editor, The Auk: Ornithological Advances Board Member and Scientific Advisor, Braddock Bay Bird Observatory (and former President and Vice President) He has mentored students and collaborated on research involving bat vision and agricultural entomology. He has also contributed to methodological advancements, such as the development of BirdOriTrack for video tracking in orientation studies. His work is supported by extensive field data from BBBO and public databases like the USGS Bird Banding Laboratory. He teaches courses including Neurobiology, General Physiology, and seminars on animal minds and migration. His lab at BBBO supports experimental work on bird orientation, and he continues to expand research into the physiological challenges of migration in songbirds.

Zhigang Dengمشاهده پروفایل

استاد

• Human-Centered Computing
• Computer Graphics
• Computer Animation
• +۴ مورد دیگر

Zhigang Deng is the Moores Professor of Computer Science and Director of Graduate Studies at the University of Houston's Department of Computer Science. He earned his Ph.D. in Computer Science from the University of Southern California (2006), with earlier degrees from Peking University (M.S. 2004) and Xiamen University (B.S. 1997). His research focuses on Human-Centered Computing, Computer Graphics, and Computational Surgery, with notable contributions to insect flight simulation, surgical telementoring, and AI-human collaboration in medical diagnosis. He has been funded by NSF, NIH, NASA, and industry partners like Google and EA. His work is featured in ACM TOG, IEEE TVCG, and SIGGRAPH. Awards include the ACM Distinguished Member (2021), Moores Professorship (2021), and multiple best paper awards. He directs the University of Houston's Computer Graphics and Interactive Media Lab, and serves on editorial boards for IEEE TVCG and Computer Graphics Forum. Teaching includes courses on 3D Graphics and Game Development. Current research projects include surgical simulation frameworks (HySim), farm scene modeling from satellite data, and multimodal conversation analysis in multi-party interactions.

Paweł Majewskiمشاهده پروفایل

پژوهشگر

• Machine Learning
• Computer Vision
• Remote Sensing
• +۵ مورد دیگر

Paweł Majewski is a researcher at the Department of Computer Systems and Networks within the Faculty of Computer Science and Telecommunications at Wrocław University of Science and Technology. He is an active member of the Advanced Data Analysis Methods Team (ZZMAD) and conducts research at the intersection of machine learning, computer vision, and precision agriculture applications. Dr. Majewski completed his doctoral studies with a dissertation titled "Machine Learning Methods for Phenotyping Insect Biosystems, as Exemplified by Honeybees and Mealworms," supervised by Professor Robert Burduk and Professor Jacek Reiner. His doctoral research addressed significant challenges in biological system analysis including time-varying data acquisition conditions, dense scenes, and limited representative datasets. His research spans several key technical domains: Computer vision techniques for biological system analysis Semi-supervised and unsupervised anomaly detection methods Instance and semantic segmentation applications Precision agriculture and precision breeding technologies Machine learning approaches for phenotyping insect biosystems Dr. Majewski has received recognition for his interdisciplinary work: Scholarship of the Mayor of Wrocław (2023), awarded to 24 outstanding doctoral students in Wrocław Jan Mozrzymas Scholarship for outstanding achievements in interdisciplinary research Visegrad Fund scholarship enabling research at National Taiwan University's Biophotonics and Bioimaging Laboratory His practical contributions include developing solutions in collaboration with the Machine Vision Laboratory (MVLab) that are already supporting agricultural growers and increasing production efficiency. During his doctoral studies, he completed an international internship at National Taiwan University under Professor Ta-Te Lin, working with one of the world's leading teams in precision agriculture research. As a member of ZZMAD, Dr. Majewski contributes to multiple research initiatives including "Dark-Box Optimization" and evolutionary methods for multi-criteria optimization. His work exemplifies the translation of theoretical machine learning advancements into practical agricultural applications with real-world impact.

Beatus Tseviمشاهده پروفایل

دانشیار

• Robotics
• Insect Behavior
• Biomechanics
• +۳ مورد دیگر

Prof. Beatus Tsevi is an associate professor at the Hebrew University of Jerusalem, affiliated with the Benin School of Computer Science and Engineering and the Silberman Institute of Life Sciences. He holds dual appointments in Computer Science and Life Sciences, and is a member of the Bio-Engineering Center. His research focuses on understanding insect flight control mechanisms and developing bio-mimetic robotics. Education: B.Sc. in Physics and Computer Science, Hebrew University Ph.D. in Physics (Weizmann Institute, microfluidic droplet dynamics) Postdoc in Physics (Cornell University, insect flight control) Research Interests: Flight control dynamics in insects using ultra-fast imaging Multi-modal sensory integration during flight Neural and genetic bases of flight behavior Development of insect-inspired micro-robots Advising & Lab: Current students: 4 PhD/MS candidates and 6 undergraduate researchers Alumni: 12 graduates who transitioned to industry/academia Labs: Micro-Flight Laboratory (Silberman Institute) and Computer Science Office (Rothberg Building) His work bridges engineering, biology, and physics to create novel bio-inspired technologies.

Guy Blochمشاهده پروفایل

استاد

• Sociobiology
• Chronobiology
• Entomology
• +۶ مورد دیگر

Prof. Guy Bloch is a Professor of Biology at the Hebrew University of Jerusalem, affiliated with the Alexander Silberman Institute of Life Sciences and the Department of Ecology, Evolution & Behavior. He holds roles at the Federmann Center for the Study of Rationality and the Jerusalem Brain Community. His research focuses on the evolution and mechanisms underlying social behavior in bees, integrating molecular, physiological, and social analyses. Key areas include circadian rhythms, juvenile hormone signaling, RNA editing, and body size regulation in social insects. Educations: Bachelor's in Biology from Tel Aviv University MSc and PhD in Zoology from Tel Aviv University Postdoctoral fellowship at the University of Illinois at Urbana-Champaign (UIUC) Research Interests: Sociobiology, chronobiology, and behavioral plasticity in bees. Specific topics include the interplay between circadian rhythms and social behavior, hormonal regulation of division of labor, and RNA editing's role in behavioral adaptation. Awards: Fulbright Scholarship (1997) BARD Postdoctoral Fellowship Clark-Way Harrison Visiting Scholar Award (2015) Labs & Teams: Leads the Guy Bloch Research Group, focusing on social insect behavior. Collaborates with international institutions, including the University of Auckland and Washington University in St. Louis.

Doekele Stavengaمشاهده پروفایل

استاد

• Biophysics
• Optics
• Neuroethology
• +۳ مورد دیگر

Prof. Doekele Stavenga is a Professor at the Faculty of Science and Engineering, University of Groningen. He leads the Van der Kooi lab - Evolutionary Biophysics, focusing on the physics of invertebrate vision and animal coloration. His research spans topics like butterfly wing scales, insect light attraction, and circadian rhythms. Collaborates internationally on optical signaling and pollinator interactions. Active in research since at least 2022, with ongoing projects like 'Scales and facets: Optical signaling and sensing in flies and butterflies' (2023–2027). Research Interests: Biophysics of vision, structural coloration, light pollution effects on insects, and evolutionary adaptations in coloration. Utilizes advanced optical techniques and interdisciplinary approaches. Key Contributions: Over 214 publications, including studies on Morpho butterfly flashiness, circadian rhythms in wasps, and carotenoid-based pigmentation. Media coverage highlights his work on iridescent animal colors and insect behavior. Grants & Projects: Co-Principal Investigator on an active project exploring optical signaling mechanisms in flies and butterflies. Supervised 27 works, contributing to entomological and biophysical research.

Craig Montellمشاهده پروفایل

استاد

• Neuroscience
• Molecular Biology
• Cellular Biology
• +۴ مورد دیگر

Craig Montell is a Distinguished Professor in the Department of Molecular, Cellular, and Developmental Biology at the University of California, Santa Barbara (UCSB). He holds the Duggan Professorship and has previously served on the faculty at Johns Hopkins University School of Medicine for nearly 25 years. His research focuses on sensory biology, particularly the mechanisms through which environmental stimuli—such as temperature, light, taste, and touch—influence behavior in organisms like Drosophila and mosquitoes. Montell's laboratory discovered the founding member of the TRP channel family, a critical component in sensory transduction. His work extends to understanding mosquito behavior, aiming to develop strategies to combat diseases transmitted by Aedes aegypti, such as dengue and Zika. He has also elucidated roles for rhodopsins beyond light sensing, including chemosensory functions. Education: B.A., UC Berkeley (1978); Ph.D., UCLA (1983) Postdoctoral Training: UC Berkeley (1984–1986) His research interests span sensory neurobiology, ion channel biology, and vector control. Key achievements include defining TRP channel roles in mechanosensation and thermosensation, and pioneering studies on mosquito sensory mechanisms. Awards include the NSF Presidential Young Investigator Award (1987), honorary doctorates from Catholic University (2010) and Baylor College (2011), and an NIH Pioneer Award (2015). Montell has mentored numerous students and contributes to interdisciplinary initiatives at UCSB’s Neuroscience program. His lab integrates molecular genetics, electrophysiology, and behavioral analyses to explore sensory processing and decision-making in organisms.

Rinke Vinkenoogمشاهده پروفایل

پژوهشگر

• Pollination Ecology
• Invasive Species Ecology
• Urban Ecology
• +۳ مورد دیگر

Rinke Vinkenoog is a researcher at Northumbria University , specializing in Pollination Ecology . Their research investigates insect-flower interactions, the ecological impacts of invasive species like Himalayan Balsam on native pollinator networks, and urban pollination dynamics. Collaborations include projects with the British Beekeepers Association and local beekeeping groups. Education & Qualifications: PhD in Biology (1998), Senior Fellow of the Higher Education Academy (SFHEA, 2016), and member of the Society for Experimental Biology since 2004. Research Focus: Examines how floral resource competition influences pollinator behavior, particularly in urban vs. rural environments. Recent work includes studies on honeybee foraging strategies and the ecological role of invasive plants in pollination systems. Supervision: Current PhD student Shannon Goldberg investigates bee invasions on the Faroe Islands. Past projects include interdisciplinary collaborations on genomic imprinting in plants and parasitology. Awards & Grants: No explicit awards listed, though contributions span foundational plant genetics and applied ecological research. Labs & Teams: Collaborates with Northumbria colleagues and external organizations but no specific lab affiliation noted.

Frank Haußerمشاهده پروفایل

استاد

• Numerical Mathematics
• Scientific Computing
• Mathematical Modeling
• +۴ مورد دیگر

Prof. Dr. Frank Haußer is a Professor at Beuth University of Applied Sciences Berlin in the Department II Mathematics - Physics - Chemistry. He serves as the academic advisor for the Applied Mathematics program and teaches courses including Numerical Mathematics, Mathematical Methods of Digital Image Processing, and Computational Engineering. His consultation hours are held during semesters and by appointment, with availability both in-person and online. Haußer's research focuses on: Numerical mathematics and scientific computing Mathematical modeling with applications in MATLAB/Octave Machine learning for medical imaging and insect monitoring Digital image processing techniques for biomedical applications Partial differential equations and computational engineering methods He has authored a textbook on mathematical modeling with MATLAB/Octave and leads interdisciplinary projects at the intersection of mathematics and technology. Analysis of his 15 most recent publications shows strong emphasis on: Medical imaging algorithms (especially retinal OCT analysis) Nanostructure dynamics and material science Computational physics and finite element methods Machine learning applications in biology and medicine Advanced mathematical modeling techniques His work consistently bridges theoretical mathematics with practical engineering applications. Haußer actively supervises student research, including: Machine learning for insect classification and localization Medical image processing algorithms Computational methods in engineering Finite element analysis applications Optimization and simulation techniques He has guided over 30 bachelor's and master's theses since 2009. His research projects include: KInsekt (2020-2023): AI-based insect monitoring funded by BMUV BeCRF (2015-2017): Medical image quality validation funded by BMWi QM ROCT (2013-2015): Automated OCT quality management funded by IFAF These interdisciplinary collaborations involve institutions across Germany.

Sebastian Schmelzleمشاهده پروفایل

پژوهشگر

• Functional Morphology
• Animal Morphology
• Arthropod Structure
• +۵ مورد دیگر

Dr. Sebastian Schmelzle is a researcher at the Department of Biology, Technische Universität Darmstadt , where he works on functional morphology and biomechanics of arthropods. Since 2022, he has also served as CEO of Small World Vision GmbH . His academic career includes a magna cum laude PhD in Biology (2015) and research roles in DFG- and BMBF-funded projects like LIS, Waldklimafonds, NOVA, and ASTOR. He specializes in 3D imaging techniques, particularly synchrotron microtomography , and has contributed to open-source platforms like Biomedisa . Education : PhD in Biology (2015, TU Darmstadt), Diploma in Biology (2008, Eberhard Karls University Tübingen) Research interests focus on arthropod defensive mechanisms , notably the ptychoid defense in oribatid mites. His work explores how evolutionary lineages independently develop exoskeletal and muscular adaptations for survival. He bridges entomology , materials science , and computational imaging to study biomechanics, surface chemistry, and structural efficiency. Publications highlight his expertise in 3D microtomography (e.g., analyzing ant mandibles, insect cuticular hydrocarbons, and primate retinal structures). Collaborative projects span biomedical image segmentation , insect biomechanics , and synchrotron radiation applications . His recent work integrates machine learning and real-time data filtering for enhanced visualization. Additional contributions include public engagement initiatives like the AR Museum Station and Insect Excursions , aiming to democratize scientific knowledge through interactive exhibits and field studies.

Mehmet Kerem Turkcanمشاهده پروفایل

پژوهشگر

• Computer Vision
• Deep Learning
• Neural Circuits Simulation
• +۷ مورد دیگر

Mehmet Kerem Turkcan is an Associate Research Scientist at Columbia University, affiliated with the Center for Smart Streetscapes (CS3) and the Department of Civil Engineering & Engineering Mechanics. He specializes in computer vision, deep learning, and their applications to urban streetscapes and robotic surgeries. Current Position: Associate Research Scientist at Columbia University (since Jul 2024) Previous Role: Postdoctoral Research Scientist in Electrical Engineering at Columbia Research Interests span real-world deployment of object detection/tracking systems, retrieval-augmented generation via large language models, and GPU-driven simulations of neural circuits. His work bridges computational neuroscience with urban informatics through platforms like FlyBrainLab and Fruit Fly Brain Observatory . Publication Trends show interdisciplinary focus: (1) Robotic surgery tracking (2025), (2) Cloud-edge vision-language processing (2025), (3) Urban navigation for accessibility (2024), and (4) Neurogenetic circuit modeling (2024). Earlier work includes Drosophila brain simulations and biomarker discovery for coronary disease.