جست‌وجوی استاد و پژوهشگر

Noah J. Cowanمشاهده پروفایل

استاد

• Neuromechanics
• Robotics
• Neuroscience
• +۵ مورد دیگر

Noah J. Cowan is a Professor of Mechanical Engineering at Johns Hopkins University's Whiting School of Engineering, with secondary appointments in Computer Science, Electrical & Computer Engineering, and Neuroscience. He is the founder and director of the Locomotion in Mechanical and Biological Systems (LIMBS) Laboratory, part of the Laboratory for Computational Sensing and Robotics. His research focuses on neuromechanics, robotics, and control theory, bridging neuroscience, biomechanics, and engineering. Cowan's work investigates how organisms achieve precise locomotion and applies these insights to advance robotics, neuroprosthetics, and rehabilitation technologies. Education: B.S. Electrical Engineering (Ohio State, 1995), M.S. and Ph.D. Electrical Engineering & Computer Science (University of Michigan, 1997/2001). Postdoctoral fellowship at UC Berkeley (2001–2003) before joining Johns Hopkins. Research Interests: Neuromechanics of motion, bio-inspired robotics, multisensory integration in animals (e.g., electric fish, Drosophila), and sensorimotor control in clinical contexts like cerebellar ataxia. His lab studies how neural circuits interact with biomechanics to produce movement, with applications to robotic design and neurological disorder treatments. Awards & Recognition: Presidential Early Career Award for Scientists and Engineers (2010), IEEE Fellow, NSF CAREER Award (2009), and multiple teaching and research excellence awards at Johns Hopkins. His work has been published in top journals like Nature , Proceedings of the National Academy of Sciences , and IEEE Transactions on Robotics . Outreach & Mentorship: Longtime mentor for high school and undergraduate students in STEM, leading programs like the Baltimore Ingenuity Project and WISE. Served as team leader for the STEM Achievement in Baltimore Elementary Schools (SABES) initiative. Key Projects: Development of the LIMBS Lab’s VR systems for animal studies, bioelectric navigation technologies for medical devices, and collaborations with clinicians on upper limb movement disorders. His team’s research on electric fish and fruit flies has revealed principles of adaptive control applicable to robotics and AI.

Isuru Godageمشاهده پروفایل

استادیار

• Soft Robotics
• Continuum Robotics
• Modular Robots
• +۴ مورد دیگر

Isuru Godage is an Assistant Professor in the Department of Engineering Technology & Industrial Distribution at Texas A&M University's College of Engineering. He holds affiliated faculty positions in Mechanical Engineering and Multidisciplinary Engineering. His work focuses on advanced robotics systems, particularly soft robots, continuum arms, and their applications in surgery and blockchain-based collaboration. He earned a B.Sc. (Hons) in Electronic and Telecommunication Engineering from the University of Moratuwa, Sri Lanka (2007), and a Ph.D. in Robotics, Cognition, and Interaction Technologies from the University of Genova – Italian Institute of Technology, Italy (2013). Research Interests: Soft robots and continuum robots Modular robotic systems MRI-compatible surgical robotics for intracerebral hemorrhage evacuation Motion planning and control of underactuated systems Blockchain-enabled trustless collaboration between humans and robots His publications emphasize dynamic control of soft robotic arms, kinematic modeling of continuum systems, and bio-inspired designs for medical and industrial applications. Recent work explores locomotion strategies for soft quadrupeds and snake-like robots, alongside innovations in decentralized robotic data frameworks. Dr. Godage has secured grants such as the NSF CAREER Award (2021) focused on transformable soft robots and collaborative projects with the National Robotics Initiative (NRI). His research bridges robotics mechanics, control theory, and emerging technologies like blockchain for swarm robotics.

Tristan A.F. Longمشاهده پروفایل

دانشیار

• Evolutionary genetics
• Behavioral ecology
• Experimental evolution
• +۳ مورد دیگر

Dr. Tristan A.F. Long is an Associate Professor in the Department of Biology at Wilfrid Laurier University's Faculty of Science in Waterloo, Ontario. A behavioral ecologist and evolutionary geneticist, he focuses on sexual selection and the role of female mate preference variation in evolutionary change. With teaching responsibilities for large introductory biology courses like BI111 and BI393, he has developed innovative active learning techniques using playing cards, iClickers, and role-playing games to teach population genetics and ecological principles. University of Western Ontario - BSc in Honours Ecology and Evolution (1999) University of Guelph - MSc in Zoology (2001) Queen’s University - PhD in Biology (2005) University of California Santa Barbara - Postdoctoral Fellow (2005-2009) University of Toronto - Postdoctoral Fellow (2009-2010) His research examines how female Drosophila melanogaster vary in their mating preferences and how these differences shape evolutionary trajectories. He has published extensively on reproductive plasticity, sexual conflict, and environmental interaction effects. His laboratory combines experimental evolution with computational modeling to explore genetic trade-offs and behavioral adaptations. Scientific awards include the Laurier Teaching Award for Sustained Excellence (2017). He has developed innovative classroom techniques like the Battle of the Beaks exercise for teaching adaptive evolution and an iClicker-based population genetics simulation using playing cards. His 2024 BI393 biostatistics course policy strongly discourages generative AI use due to concerns about educational integrity and environmental impact.

Mikhail Gelfandمشاهده پروفایل

استاد

• molecular evolution
• comparative genomics
• systems biology
• +۷ مورد دیگر

Mikhail Gelfand is a Full Professor and Director of the Center for Molecular and Cellular Biology at Skolkovo Institute of Science and Technology (Skoltech), where he also serves as Vice President for Biomedical Research. His distinguished career spans multiple prestigious institutions including Lomonosov Moscow State University and the Higher School of Economics. His educational background includes: 1985: MSc in mathematics (functional analysis) 1993: PhD in physics-mathematics (biophysics) 1998: DSc in biology (molecular biology) 2007: full professor (bioinformatics) Professor Gelfand's research focuses on molecular evolution, comparative genomics, systems biology, and metagenomics. His work examines eukaryotic processes including alternative splicing, mRNA editing, and chromatin structure, as well as bacterial genome evolution and transcription regulation. His lab combines data on three-dimensional chromatin structure, epigenetic states, and gene expression to obtain an integrated view of genome functioning across diverse organisms from humans to amoebae. One major research direction focuses on the evolution of transcript splicing and editing, while comparative analysis of bacterial genomes yields functional annotations of novel enzymes, transporters, and transcription factors. His recent publications demonstrate a strong focus on RNA editing in cephalopods, bacterial genome analysis, and computational approaches to understanding chromatin structure. The work spans molecular biology, evolutionary biology, and bioinformatics, with particular emphasis on how RNA editing contributes to adaptation and molecular evolution across metazoans. His research shows how edited adenines are more frequently substituted with guanine in evolution than their unedited counterparts, suggesting RNA editing may enhance adaptation. His notable awards include: The President of Russian Federation's Award for Young Doctors of Science (2000) The "Best Scientist of the Russian Academy of Sciences" award (2004) A. A. Baev Prize in Genomics and Genoinformatics (2007) Member of Academia Europaea (2010) As Director of the Center for Molecular and Cellular Biology, Professor Gelfand leads a research group that combines computational and experimental approaches to study genome function and evolution. His lab's work has significant implications for understanding molecular mechanisms of evolution and adaptation across diverse biological systems, from bacteria to complex eukaryotes. His research on metagenomics extends to practical applications in areas including coral disease, aphids, and oil wells.

Felix Schweizerمشاهده پروفایل

استاد

• Neurobiology
• Synaptic transmission
• Neurotransmitter release
• +۵ مورد دیگر

Felix Schweizer is Professor of Neurobiology at the David Geffen School of Medicine, University of California, Los Angeles, and concurrently serves as Interim Director of the Brain Research Institute and Chair of the Graduate Interdepartmental Program for Neuroscience, reflecting his leadership in both research and graduate training. Education Ph.D. in Biochemistry (summa cum laude), University of Basel, 1989 Research Interests Schweizer’s laboratory focuses on the molecular mechanisms of synaptic transmission and neuronal communication. Using electrophysiology, optical imaging, and quantitative proteomics, his group investigates how protein ubiquitination dynamically regulates neurotransmitter release and neuronal excitability. Recent projects explore microbial metabolite sensing by vagal afferents, the synaptic impact of environmental toxicants linked to Parkinson’s disease, and how gravitational load alters vestibular synaptic architecture. Collaborations with Drs. James Wohlschlegel (multiplexed SILAC proteomics), David Krantz (pesticide neurotoxicology), and Larry Hoffman (vestibular biology in altered gravity) extend the lab’s reach from molecular mechanisms to systems-level neuroscience. Scientific Awards No specific awards are listed in the provided text. Advising & Grants As Chair of the Graduate Interdepartmental Program for Neuroscience, Schweizer oversees interdisciplinary Ph.D. training across UCLA. The laboratory continuously hosts post-doctoral fellows and graduate students, and recent funding supports work on ubiquitin-mediated synaptic modulation, pesticide-induced neurodegeneration, and spaceflight-induced synaptic plasticity in the vestibular system. Labs & Teams The Schweizer laboratory, located in the Center for Health Sciences at UCLA, integrates electrophysiology, advanced imaging (serial EM and EM tomography), and biochemical approaches to dissect synaptic function across rodent, Drosophila, and human tissue models.

Richard Axelمشاهده پروفایل

استاد

• Olfaction
• Neural representations
• Molecular neuroscience
• +۳ مورد دیگر

Richard Axel is a University Professor at Columbia University, holding appointments in the Vagelos College of Physicians and Surgeons as Professor of Neuroscience, Professor of Biochemistry and Molecular Biophysics, and Professor of Pathology and Cellular Biology. He serves as Codirector of Columbia's Mortimer B. Zuckerman Mind Brain Behavior Institute and is an Investigator at the Howard Hughes Medical Institute since 1984. Dr. Axel earned his AB from Columbia College and MD from Johns Hopkins Medical School. His Nobel Prize-winning research identified over 1,000 odorant receptors in the nose that transmit olfactory information to the brain, revolutionizing our understanding of the sense of smell. His early work with colleagues developed groundbreaking gene transfer techniques that enabled the introduction of virtually any gene into any cell, leading to novel approaches for gene isolation and analysis of gene function. Dr. Axel's research focuses on understanding how olfactory information is processed in the brain to create internal representations of the external world. His work spans molecular neuroscience, neural circuitry, and the relationship between sensory input and behavioral output. He has pioneered techniques that have advanced our understanding of neural function and sensory processing mechanisms. Analysis of Dr. Axel's recent publications reveals a continued focus on olfactory processing systems, with increasing integration of computational approaches and machine learning to understand neural representations. His work spans from molecular mechanisms to circuit-level analyses, with particular emphasis on how odor information is encoded and transformed in the brain to produce meaningful perceptions and behaviors across multiple model systems. Nobel Prize in Physiology or Medicine (2004) Howard Hughes Medical Institute Investigator (1984-Present) The Royal Society Foreign Member (2014) Gairdner Foundation International Award (2003) American Philosophical Society Member (2003) National Academy of Sciences Member (1983) Richard Lounsbery Award (1989) American Association for the Advancement of Science Fellow (2018) American Academy of Arts and Sciences Fellow As Codirector of the Zuckerman Institute, Dr. Axel oversees one of the world's leading neuroscience research centers, fostering interdisciplinary collaboration across multiple departments. His lab continues to train the next generation of neuroscientists, investigating how sensory information is transformed into meaningful perceptions and behaviors. Dr. Axel's early work on gene transfer techniques laid the foundation for numerous advances in molecular biology and neuroscience, including the isolation and analysis of the CD4 gene, the cellular receptor for HIV. Dr. Axel leads the Axel Lab at Columbia University, which is part of the Zuckerman Institute. His research team investigates how organisms recognize olfactory information in the environment and transmit it to the brain, where it is processed to create internal representations of the external world. The lab employs multidisciplinary approaches combining molecular, cellular, and systems neuroscience to unravel the neural circuits underlying sensory processing and behavior, with particular focus on understanding how these representations translate stimulus features into appropriate innate and learned behaviors.

Mary Ann Lilaمشاهده پروفایل

استاد

• Functional Foods
• Plant Chemistry
• Nutrition Science
• +۷ مورد دیگر

Mary Ann Lila holds the David H. Murdock Distinguished Professorship at North Carolina State University’s Department of Food, Bioprocessing & Nutrition Sciences. She leads the Plants for Human Health Institute and is affiliated with the Global Institute for Bioexploration (GIBEX). Her research focuses on phytochemicals in functional foods, immune modulation, and plant-based solutions for health challenges like allergies and cognitive decline. Lila has pioneered protein-polyphenol particle technology to enhance bioactive delivery and mitigate food allergies. Education: Ph.D. Plant Biology (University of Wisconsin, 1984); M.S. Plant Pathology (University of Illinois, 1980); B.S. Horticultural Sciences (University of Illinois, 1978) Key Roles: Director of Plants for Human Health Institute; Affiliate Faculty at University of Alaska Fairbanks Her research interests include bioactive phytochemicals’ roles in inflammation, immunosuppression, and cognitive health. She investigates how plant-derived compounds interact with the gut microbiome to enhance health outcomes. Notable studies address blueberry bioavailability, anti-cancer properties of berry juices, and ozone-induced skin damage mitigation. Recent Achievements: - Copernico Bronze Medal (2021) - 2023 Senior Outstanding Global Engagement Award - David H. Murdock Distinguished Professorship (2010–present) Lila’s work spans collaborations across disciplines, including food engineering, genomics, and cosmeceutical development. Her lab develops sustainable food technologies to address global health and environmental challenges, emphasizing functional ingredients from underutilized crops and byproducts.

Marta Moitaمشاهده پروفایل

استاد پژوهشی

• Behavioral Neuroscience
• Fear Conditioning
• Animal Behavior
• +۵ مورد دیگر

Marta Moita is a Research Professor and Principal Investigator at the Champalimaud Foundation's Champalimaud Research center in Lisbon, Portugal, where she leads the Moita Lab in the Behavioral Neuroscience research group. Her laboratory investigates the neural and behavioral mechanisms underlying threat responses in animals, with particular focus on how contextual cues influence defensive decision-making between freezing and fleeing behaviors. Dr. Moita's research spans multiple levels of analysis, from collective behavior in social contexts to detailed neural mechanisms. Her lab employs diverse model organisms, particularly fruit flies ( Drosophila melanogaster ) and rats, to study how animals integrate social, spatial, and internal state information to guide threat responses. Key research areas include fear conditioning, emotional contagion, social safety cues, and the neural circuits underlying defensive behaviors. Her work often bridges behavioral neuroscience with evolutionary biology perspectives, examining how defensive strategies have been shaped by natural selection. The Moita Lab's publication record demonstrates a consistent focus on innovative approaches to understanding threat processing across species. Recent work has revealed how looming visual stimuli drive defensive responses in rats, how social cues can override threat levels, and the physiological consequences of threat exposure. The lab frequently publishes in high-impact journals including Current Biology , Nature Communications , and Science Reports , reflecting the significance of their contributions to the field. Dr. Moita actively mentors several PhD and Masters students, including Charlotte Rosher, Violetta La Franca, Mariana Franco, Matilde Henriques, and Mirjam Heinemans. Her laboratory team also includes postdoctoral researchers like Alexandre Leitão, Anna Hobbiss, and Ricardo Neto Silva, along with research technicians and lab administrators who support the diverse research projects.

Andreas Herzمشاهده پروفایل

استاد

• Computational Neuroscience
• Neural Coding
• Spatial Navigation
• +۳ مورد دیگر

Prof. Dr. Andreas Herz is a Chair in Computational Neuroscience at the Faculty of Biology, Ludwig-Maximilians-Universität München (LMU). His research focuses on understanding neural mechanisms underlying spatial navigation, temporal cognition, and sensory processing. He leads the Computational Neuroscience group and collaborates with the Bernstein Center for Computational Neuroscience Munich. Research Interests: Dr. Herz investigates how neural systems encode spatial and temporal information, including grid cells, head-direction systems, and neural coding strategies. His work bridges experimental neurophysiology with theoretical modeling, addressing topics like cognitive maps, neural variability, and synaptic plasticity. Teaching & Mentorship: He oversees advanced courses on computational neuroscience and neurophysiology, fostering interdisciplinary training for graduate students. His research group includes prominent collaborators like Dr. Martin Stemmler and PD Dr. Kay Thurley, focusing on projects involving neural network dynamics and behavioral neuroscience. Publications & Impact: Over 85 peer-reviewed articles highlight his contributions to understanding entorhinal-hippocampal circuits, dendritic processing, and neural representation of space/time. Key work includes studies on grid cell variability, zebrafish spatial memory, and cytoskeletal organization in dendritic spines.

• English Renaissance literature
• Critical theory
• Queer theory
• +۴ مورد دیگر

Steven Robert Swarbrick is an Associate Professor in the Department of English at the Weissman School of Arts and Sciences, Baruch College, City University of New York. He specializes in English Renaissance literature, critical theory, queer theory, psychoanalysis, and ecocriticism, with a focus on intersections between environmental thought and posthumanism. His research engages with Deleuzean philosophy, Shakespearean studies, and interdisciplinary methodologies. Ph.D. , English, Brown University, Providence, RI B.A. , English, San Francisco State University Professor Swarbrick's research explores the relationships between Renaissance ecological poetics, queer negativity, and the environmental unconscious. His work interrogates how early modern texts anticipate contemporary debates around extinction, asexuality, and object-oriented ontologies. Key projects include The Environmental Unconscious: Ecological Poetics from Spenser to Milton (2023) and The Earth Is Evil (2025), alongside collaborations on cinematic and posthumanist critiques. Recent publications demonstrate trends in ecocritical Shakespeare studies , queer posthumanism , and Deleuzean interpretations of Renaissance texts . His scholarship bridges literary analysis with philosophical inquiry, emphasizing destructive environmentalism and the prosthetic imagination. He teaches courses such as Shakespeare, Great Works of Literature, and Renaissance Poetry, with a pedagogical approach rooted in critical theory and interdisciplinary engagement.

Edward Kimمشاهده پروفایل

دانشیار

• Computer Vision
• Sparse Coding
• Neuromorphic Computing
• +۱۲ مورد دیگر

Edward Kim is an Associate Professor in the Department of Computer Science at Drexel University's College of Computing & Informatics. His research spans computer vision, sparse coding, neuromorphic computing, and AI, with a focus on neuro-inspired machine learning and robust, interpretable models. Research Interests: Computer Vision Sparse Coding and Dictionary Learning Neuromorphic and Spiking Neural Networks Explainable and Adversarially Robust AI Multimodal Learning Medical Image Processing His recent publications highlight a strong trend in developing biologically inspired, robust, and interpretable machine learning models, particularly using sparse coding and spiking neural networks. Themes include adversarial robustness, model confidence calibration, and cross-modal integration. His work often bridges neuroscience and AI, aiming to create more human-like and trustworthy systems. Scientific Awards: NSF CAREER Award (2019) Longsview Fellow (collaborative project, 2021) Dr. Kim advises several graduate students in the SPARSE Lab and has secured significant research funding from the NSF, DARPA, and the Bill & Melinda Gates Foundation. His grants focus on ethical AI, racial bias in ML, and digital health platforms. He also contributes to academic leadership as a Provost Fellow at the Drexel Solutions Institute and co-chair of computer vision tracks at major conferences. Labs and Teams: He leads the SPARSE (SPiking And Recurrent SOFTwarE) Coding Lab, which investigates biologically inspired learning models beyond traditional deep learning. The lab integrates neuroscience principles to improve stability, interpretability, and robustness in AI systems.

Donato Romanoمشاهده پروفایل

دانشیار

• Bioinspired Robotics
• Biomimetic Robotics
• Animal-Robot Interaction
• +۸ مورد دیگر

Donato Romano serves as Associate Professor at The BioRobotics Institute of Scuola Superiore Sant'Anna, Italy, where he coordinates the Bio-Robotic Ecosystems Lab and co-founded the spin-off company HUBILIFE srl. His interdisciplinary work bridges robotics, biology, and AI to develop biohybrid systems for biodiversity preservation, sustainable environmental management, and life support in extreme scenarios including space exploration. With over 90 publications and an H-index of 27 (Scopus, March 2025), he has established significant academic leadership through editorial roles across 12+ international journals. Romano's educational foundation includes advanced degrees with honors: an M.Sc. in Agriculture Science and Technologies (2014) and a PhD in BioRobotics (2018), both from Scuola Superiore Sant'Anna. His academic journey includes visiting scholar positions at Khalifa University and substantial industry-academia collaboration through HUBILIFE srl, which commercializes bioinspired devices for human daily life improvement. His research program focuses on bioinspired and biomimetic robotics with particular emphasis on animal-robot interaction, biohybrid systems, and natural intelligence. Key projects address critical global challenges: SENSORBEES develops biohybrid environmental surveillance for ecological monitoring; REGOLIFE investigates lunar soil-terrestrial organism interactions for space agriculture; and OCEAN ROBOCTO explores marine ecosystem solutions. This work demonstrates a strategic progression from fundamental behavioral studies toward applied ecological and extraterrestrial systems. Analysis of his recent publications reveals strong trends in AI-driven behavioral analysis, with deep learning increasingly applied to entomological studies and pest management. The research spans agricultural applications (precision monitoring traps, larval detection systems), ecological conservation (biodiversity surveillance), and extreme-environment adaptation (lunar regolith studies). A distinctive feature is the consistent integration of biohybrid approaches where living organisms and robotic systems create synergistic capabilities exceeding either component alone. Romano's scientific recognition includes election as Junior Fellow of the Italian Academy of Engineering and Technology (2025), the Lucani fuori dal Comune award (2024), and multiple best-thesis prizes. His editorial leadership spans high-impact journals including IEEE Transactions on Medical Robotics and Bionics and Pest Management Science, where he serves as Associate Editor. As principal investigator, Romano coordinates major international projects totaling over €15M in funding: HORIZON-EIC's SENSORBEES (2024-2029), ASI's REGOLIFE (2024-2027), National Geographic's OCEAN ROBOCTO (2024-2026), and PRIN's COSMIC (2023-2025). His teaching portfolio includes PhD courses in Biosystems for Biorobotics and M.Sc. instruction in Bionics Engineering at Scuola Superiore Sant'Anna and University of Pisa. The Bio-Robotic Ecosystems Lab under Romano's direction pioneers biohybrid technologies where living organisms and robotic systems create integrated solutions. Current initiatives include SENSORBEES' environmental monitoring swarms, REGOLIFE's moonworm colonization systems, and HUBILIFE's commercial vector-control devices. The lab maintains active collaborations with space agencies, agricultural institutes, and conservation organizations, positioning biohybrid systems as next-generation tools for planetary-scale challenges.

• Computational Neuroscience
• Visual System
• Sensory Coding
• +۷ مورد دیگر

Thomas Wachtler-Kulla is a Professor in the Department of Biology II at Ludwig-Maximilians-University Munich, where he leads the Computational Neuroscience research group. He is a GSN full member and serves as the GSN Ombudsperson, offering neutral and confidential counseling for students. He is also the Group Leader and Scientific Director at the German Neuroinformatics Node (G-Node), contributing significantly to neuroscience data infrastructure. His research focuses on how the brain processes sensory signals, particularly in the visual system, aiming to understand neural coding, perceptual stability, and color vision under natural conditions. He employs neurophysiology, psychophysics, and computational modeling to investigate sensory processing, eye movement compensation, and efficient coding mechanisms. At G-Node, he develops software and hardware tools for organizing, storing, analyzing, and sharing neurophysiological data, promoting reproducible research. His recent work spans Bayesian models of hue perception, data management frameworks like DataLad and odML, and studies on honeybee neuroethology. He actively supervises graduate students and contributes to major initiatives such as NFDI-Neuro and the International Neuroinformatics Coordinating Facility, advancing standards for open and FAIR neuroscience. Scientific Contributions and Leadership: Scientific Director, German Neuroinformatics Node (G-Node) GSN Ombudsperson for student conflict resolution Key contributor to NFDI-Neuro and INCF Developer of tools for metadata management and data sharing He advises several current and former graduate students and is deeply involved in shaping data policies and infrastructure for the neuroscience community, ensuring scientific rigor and accessibility.

Matt Garrattمشاهده پروفایل

استاد

• Robotics
• Swarm Robotics
• Unmanned Aerial Vehicles
• +۵ مورد دیگر

Professor Matt Garratt is a faculty member at the University of New South Wales (UNSW Canberra), School of Engineering and IT, serving as AI theme lead for the Defence Trailblazer Universities initiative with over $200 million in funding. His primary research focuses on sensing, guidance, and control for autonomous systems within robotics and unmanned aerial vehicles. Garratt's research spans robotics, swarm intelligence, and autonomous systems with emphasis on bio-inspired navigation techniques and adaptive flight control. His work addresses critical challenges including terrain following using vision systems, landing UAVs on moving platforms, and developing self-organizing swarms. He integrates artificial intelligence, computer vision, and machine learning to advance unmanned systems capabilities in complex environments. Analysis of his recent publications reveals strong trends in bio-inspired UAV navigation (particularly honeybee behavior modeling) and swarm robotics applications. His work increasingly incorporates deep learning for perception tasks while addressing real-world challenges like gas plume detection and adversarial robustness in 3D vision systems. The research demonstrates consistent progression toward practical implementation of autonomous systems in dynamic environments. Professor Garratt has secured over $7.7 million in external research funding as Chief Investigator on 33 grants. He actively mentors graduate students with scholarships available for Masters and PhD research in robotics and AI, focusing on: UAV path planning and adaptive control systems Swarm robotics collective motion optimization Bio-inspired autonomous navigation techniques Computer vision for robotic perception He co-founded the UNSW Canberra AIR (AI and Robotics) Group (AIR Lab), which drives research in trusted autonomy, swarm intelligence, and AI integration for defense applications. The lab develops practical solutions for autonomous systems operating in complex, real-world environments while maintaining ethical AI frameworks.

Shana M. Caroمشاهده پروفایل

استادیار

• Animal Behavior
• Behavioral Ecology
• Communication
• +۷ مورد دیگر

Shana M. Caro is an Assistant Professor in the Department of Biology at Adelphi University, within the College of Arts and Sciences. Her research integrates behavioral neuroscience and evolutionary biology to investigate animal behavior, with a focus on birds and insects in both laboratory and field settings. Educational Background: DPhil, University of Oxford (2017) BA, Harvard University (2007) Her research interests include animal behavior, cognition, metacognition, communication, parental care, urbanization, and the effects of ultra-processed food and noise pollution on non-human animals. She explores how stress, evolutionary conflicts, and environmental challenges shape decision-making in animals. Notably, she investigates metacognition in great tits and chickens, personality effects on cognition, maternal hormonal manipulation of offspring, and sex differences in parental responses to offspring begging. Her recent publications reflect a strong trend in behavioral ecology and evolutionary theory, particularly in avian systems, with studies appearing in journals such as Nature Communications , PNAS , and Evolution Letters . Her work combines empirical research with theoretical models to understand signaling, parental investment, and behavioral plasticity. Scientific Awards and Fellowships: Stengl-Wyer Scholar, The University of Texas at Austin (2020–2022) Simons Junior Fellow, Columbia University (2017–2020) Dr. Caro advises both undergraduate and master’s students, guiding capstone and scholarly research projects on topics such as hormonal mediation of development, dietary effects on insect fitness, and olfactory foraging in sparrows. She has conducted international research in Kenya, the Netherlands, Costa Rica, and Uganda, working with species like superb starlings, great tits, capuchin monkeys, and chimpanzees. She teaches courses such as Animal Behavior, Neurobiology, and Urban Behavioral Biology, and maintains an active lab focused on behavioral mechanisms and evolutionary drivers.