جست‌وجوی استاد و پژوهشگر

• Collective behaviour
• Theoretical and Computational Biology
• Decision theory
• +۷ مورد دیگر

Professor James A.R. Marshall is a Professor of Theoretical and Computational Biology at the University of Sheffield's School of Computer Science, where he also serves as Director of the Centre for Machine Intelligence. He leads the Behavioural and Evolutionary Theory Lab (BET Lab), an interdisciplinary research group focused on understanding behavior through mathematical and computational approaches. His academic journey includes previous positions at the University of Bristol before joining Sheffield in 2010. Marshall's research spans collective social insect behavior, evolutionary theory, decision theory, robotics, and theoretical neuroscience. He applies mathematical and computational approaches to understand how and why behaviors evolve, with particular interest in social insect colonies, swarm intelligence, and biomimetic applications for robotics. His work often bridges biology and computer science, developing algorithms inspired by natural systems. He has made significant contributions to understanding confidence-weighted decision-making, quorum sensing in swarms, and magnitude-sensitive reaction times in multi-alternative choices. His recent publications reveal a strong trend toward applying insights from biological systems to robotics and AI, particularly through projects like Brains on Board and Opteran Technologies. His work increasingly focuses on neuromorphic control systems that mimic insect brains for autonomous navigation, demonstrating how constraints in biological systems can lead to robust engineering solutions. The interdisciplinary nature of his research is evident in publications spanning computational neuroscience, robotics, animal behavior, and theoretical biology. EPSRC Peer Review College Member (2010-present) Member of the UKRI Future Leaders Fellowship Panel College (2019-present) Editorial Board, Swarm Intelligence (2017-present) Associate Editor, PLoS Computational Biology (2020-present) Marshall has successfully mentored numerous researchers including HaDi MaBouDi, Andreagiovanni Reina, and Alexander Cope, while securing substantial research funding including EPSRC grants totaling over £4 million. His lab has produced the spinout company Opteran Technologies, which has secured over £12 million in funding to develop natural intelligence technology for autonomous systems. The BET Lab maintains strong connections with Sheffield Robotics and focuses on testing theoretical models in physical robotic systems while developing computational models of biological processes.

Phil Husbandsمشاهده پروفایل

استاد پژوهشی

• Artificial Intelligence
• Evolutionary Robotics
• Artificial Life
• +۱۲ مورد دیگر

Phil Husbands is a Research Professor of Artificial Intelligence in the Department of Informatics at the University of Sussex, School of Engineering and Informatics. He is a co-founder of the Centre for Computational Neuroscience and Robotics (CCNR) and a founding member of the Evolutionary and Adaptive Systems group (now the AI Group), reflecting his deep interdisciplinary engagement across engineering, neuroscience, and computer science. His research interests span artificial life, evolutionary robotics, biologically inspired neural networks, computational neuroscience, machine learning, and the history and philosophy of AI. He has pioneered work on GasNets (neural networks with diffusible modulators), insect-inspired navigation, and bio-inspired optimization algorithms. His work often bridges theory and application, integrating insights from biology into adaptive robotic systems. The recent publications highlight a strong trajectory in bio-inspired computation, including evolutionary swarm algorithms, neuromodulation models, cognitive architectures, and tactile robotics. His work increasingly explores foundational questions in agency, time perception, and autonomy, suggesting a move toward more comprehensive models of artificial cognition. Scientific Awards: No specific awards listed in the provided text. Phil Husbands has been involved in numerous research grants from major funders including the European Union, EPSRC, BBSRC, and Wellcome Trust. He has supervised multiple doctoral students and collaborated widely, notably with Andy Philippides and Michael O’Shea. He is actively engaged in postgraduate research supervision and public dissemination of science through books like Robots: What Everyone Needs to Know . He leads and contributes to interdisciplinary research teams such as the Evolutionary and Adaptive Systems group and the Centre for Computational Neuroscience and Robotics, fostering collaboration between computer scientists, neuroscientists, and roboticists.

• Biorobotics
• Computational Neuroscience
• Artificial Intelligence
• +۱۲ مورد دیگر

Professor Andy Philippides is a faculty member in the School of Engineering and Informatics at the University of Sussex, where he holds the title of Professor of Biorobotics (Informatics). He has been continuously affiliated with the university since 1995, progressing from an MSc and PhD student to a permanent academic, achieving full professorship in 2017. His work is deeply interdisciplinary, bridging robotics, neuroscience, and artificial intelligence. His research interests focus on the mechanisms of intelligent behavior through the interaction of body, brain, and environment. Key areas include visual navigation in insects and robots, neuromodulation in neural networks (e.g., GasNets), evolutionary robotics, and computer vision. He leads and contributes to high-impact projects such as Brains-on-Board, INSIGHT, and be.AI, funded by EPSRC, BBSRC, MRC, and the European Union. His recent publications (2022–2025) reflect a strong trend in bio-inspired algorithms, particularly in insect navigation, spiking neural networks, and adaptive robotics. These works span journals like PLoS Computational Biology , Frontiers in Physiology , and Biomimetics , emphasizing visual route learning, memory networks, and neuromorphic computing. He has supervised over 50 MSc theses and numerous PhD students, many of whom now hold academic or industry positions. His collaborations include prominent researchers such as Paul Graham, Phil Husbands, and Tom Collett. He is actively involved in grant-funded research, with current projects extending into 2028. Action-based bio-inspired autonomous navigation (Universities UK) Emergent embodied cognition in shallow neural networks (BBSRC) be.AI - biomimetic embodied Artificial Intelligence (Leverhulme Trust) ActiveAI - active learning and selective attention (EPSRC) He teaches courses such as Intelligence in Animals and Machines and Research Methods in Neuroscience, and has previously taught in computational neuroscience and robotics. His lab, part of the Centre for Computational Neuroscience and Robotics (CCNR), fosters interdisciplinary research in biorobotics and neural modelling.

• Biomechanics
• Control Systems
• Robotics and Automation
• +۴ مورد دیگر

Dr. Huai-Ti Lin is an Associate Professor in the Department of Bioengineering at Imperial College London's Faculty of Engineering. His affiliations include the Centre for Neurotechnology and Robotics Forum. His research focuses on biomechanics, control systems, robotics, and neurosciences, with a particular interest in translating biological principles into engineering solutions. His lab develops bio-inspired sensors, neural devices, and robots by studying insect locomotion and sensory systems. Key projects include motion capture and neural recording techniques in insects like dragonflies. Dr. Lin holds a PhD from Tufts University, USA. His work integrates interdisciplinary approaches to understand how neural signals and physical bodies coordinate to enable sophisticated motor control in animals. The lab's innovations include the 'GoQBot' soft robot and passive aerial righting mechanisms. His research spans robotics, aerospace engineering, and artificial intelligence, with applications in micro aerial systems and obstacle negotiation. His articles highlight advancements in dragonfly flight mechanics, insect sensory systems, and bio-inspired algorithms. The lab's efforts aim to bridge biology and engineering for next-generation technologies. For more details, visit htlinlab.com .

Elizabeth Farrell Helblingمشاهده پروفایل

پژوهشگر

• Robotics
• Autonomy
• Biomechanics
• +۴ مورد دیگر

Elizabeth Farrell Helbling is a researcher at Cornell University's College of Engineering, focusing on robotics and autonomy. Her work bridges biomechanics, computer engineering, and microscale systems to develop centimeter-scale autonomous robots. B.S. (2012) in Engineering Sciences from Smith College M.S. (2015) and Ph.D. (2019) in Engineering Sciences from Harvard University Postdoctoral research at Harvard University and the Wyss Institute for Biologically Inspired Engineering Her research explores the integration of control systems, sensors, and power electronics within strict weight and power constraints for insect-scale robots, such as the Harvard RoboBee and HAMR. This work addresses challenges in autonomy, multi-scale manufacturing, and bio-inspired design. Helbling's publications highlight advancements in flapping-wing and legged robotics, focusing on propulsion, power systems, and control architectures. These contributions have significantly impacted micro-robotics and autonomous systems. Awards include: 2018 Rising Star in Electrical Engineering and Computer Science 2018 ICRA Best Paper Finalist 2015 IROS Best Student Paper Her work has been featured in prominent institutions like the Boston Museum of Science, London Science Museum, and the Smithsonian, as well as major media outlets such as The New York Times and BBC.

• Robotics
• Computer Vision
• Autonomous Systems
• +۳ مورد دیگر

Lucia BERGANTIN is an Enseignant Chercheur (Teaching and Researcher) in the Computer Science department at IMT Atlantique, based at the Brest campus. Her work focuses on robotics, computer vision, and biomimetic systems, particularly leveraging optic flow algorithms for navigation and control in autonomous systems. Her research explores applications in underwater vehicles, aerial robotics, and bio-inspired models derived from insect behavior. Her research interests span robotics control, sensor integration, and autonomous navigation systems. Notably, she investigates optic flow-based odometry for both indoor/outdoor environments and underwater missions, emphasizing real-time performance and reliability across varying trajectories. Lucia’s publications highlight contributions to oscillatory trajectory modeling, biomimetic visual systems, and sensor fusion strategies. Her work often bridges theoretical models with practical implementations in robotics, aiming to enhance autonomous systems’ adaptability and precision in dynamic environments. Her advising and grants are not explicitly detailed in the provided texts, but her department (Computer Science) at IMT Atlantique is part of the Institut Mines-Télécom network, indicating potential collaborative research opportunities. Her research aligns with broader institutional priorities in digital and environmental transitions.

Ben Parslewمشاهده پروفایل

مدرس ارشد

• Biomechanics
• Engineering design and optimisation
• Flapping-wing flight
• +۶ مورد دیگر

Ben Parslew is a Senior Lecturer in Aerospace Engineering at the University of Manchester's Mechanical and Aerospace Engineering department within the Faculty of Science and Engineering. He has been with the university since completing his PhD, progressing from Research Associate to Honorary Lecturer (2013), Lecturer (2015), and Senior Lecturer (2018). In 2020, he also served as an Adjunct Professor at Chulalongkorn University. His educational background includes an undergraduate degree in Aerospace Engineering from UMIST (2003), a Master's in Fluid Dynamics from the University of Manchester (2005), and a PhD in animal flight biomechanics from the University of Manchester. Dr. Parslew's research lies at the interface of engineering and biology, with particular interests in animal locomotion, unmanned aerial vehicles, robotics and computer animation. His work spans biomechanics, engineering design and optimization, flapping-wing flight, biomimetics, and physics-based animation. He has developed tools for analyzing flapping-wing flight that are publicly available. His recent publications (2022-2025) demonstrate expertise in computational fluid dynamics, bio-inspired robotics, and aerospace engineering, with a focus on applications ranging from urban wind flow simulation to jumping robots and wingless rotorcraft. The research shows a clear trend toward practical applications of biomechanical principles in robotics and aerospace design. EPSRC Doctoral Prize Fellowship (2012) Faculty of Science and Engineering Better World Award Winner (2018) Highly commended at University of Manchester Making a Difference Awards (2018) Dr. Parslew has supervised multiple research students and projects, with a focus on bio-inspired robotics and aerospace applications. He has been involved in significant research grants including the Aerospace Engineering project (2010-2035) and the Space Systems Research Group. His work contributes to UN Sustainable Development Goals through the Aerospace Research Institute, Digital Futures, and the Manchester Environmental Research Institute. He is actively involved in the Centre for Robotics and Artificial Intelligence and has contributed to projects related to bio-inspired robotic hopper locomotion for navigation in extreme space environments.

• Aerospace Engineering
• Biological Sciences
• Materials Engineering
• +۷ مورد دیگر

Dr. Sridhar Ravi is an Honorary Principal Research Fellow at the School of Engineering, RMIT University. His research focuses on bio-inspired robotics, insect flight mechanics, and flapping-wing aerodynamics. He investigates how biological systems inform engineering solutions, particularly in drones and micro-air vehicles. His work spans disciplines including aerospace engineering, biological sciences, and robotics. Research interests include biomechanics of insect flight, turbulence effects on flight stability, and bio-inspired design principles. He has contributed to understanding gap perception in bumblebees, gecko climbing kinematics, and gust mitigation strategies in flapping wings. Teaching interests cover biomechanics, flight mechanics, and unmanned aerial vehicles. Dr. Ravi collaborates internationally and supervises research projects like 'Bioinspired Perching and Crawling Drones'. His email is sridhar.ravi@rmit.edu.au, and he is based at RMIT's City Campus, Australia.

• Bioinspired Robotics
• Biomechanics
• Aerodynamics
• +۳ مورد دیگر

Associate Professor Sridhar Ravi is Deputy Head of the School of Engineering and Technology at UNSW Canberra and leads the Bio-Engineering Research Group . He holds a Bachelors of Engineering (Aerospace) and PhD from RMIT University (2007 & 2011), where his doctoral research focused on wind turbulence effects on wing aerodynamics. Postdoctoral stints at Harvard University (2012-2014), Chiba University (JSPS Fellowship), and University of Bielefeld (Alexander von Humboldt Fellowship) expanded his expertise in insect/bird flight and bio-inspired design. Research Interests span Bioinspired Robotics Biomechanics of Flight Fluid-Structure Interactions Neuroethology of Navigation Unsteady Aerodynamics Autonomous Systems His work integrates biological principles into engineering solutions, particularly for miniature aerial/underwater vehicles. Recent Publications emphasize fluid dynamics in bio-inspired propulsion, obstacle avoidance, and swarm robotics. Key trends include passive wing rotation mechanisms, ground effect optimization, and sensory integration for autonomous control. Scientific Honors include JSPS Fellowship (Chiba University) Alexander von Humboldt Fellowship (University of Bielefeld) His teaching at UNSW Canberra includes Rotorcraft Engineering and Fundamentals of Flight , reflecting his technical depth.

Graham Taylorمشاهده پروفایل

استاد

• Biomechanics
• Neurophysiology
• Animal Flight Dynamics
• +۷ مورد دیگر

Professor Graham Taylor is a Professor of Mathematical Biology at the University of Oxford and a Senior Research Fellow at Jesus College. He leads the Oxford Flight Group, focusing on biomechanics, neurophysiology, and bio-inspired engineering. His research combines experimental methods (e.g., virtual reality flight simulators) with computational models to understand animal flight dynamics and translate findings into robotics and AI. He holds a Royal Society University Research Fellowship and has received €1.95M from the ERC. His work spans Harris’ hawks, peregrine falcons, planthoppers, and insects, with applications in drone design and emergency response technology. Education: BA (Zoology, Pembroke College, Oxford), DPhil (Jesus College, Oxford) Key Roles: Deputy Head of MPLS Division, Director of John Krebs Field Station, Wytham Woods Research interests include evolutionary tuning of flight systems, flight control algorithms, and the intersection of physics and physiology. His lab collaborates with industry on spinouts like Animal Dynamics and engages the public through documentaries (e.g., Sky Nature’s Airborne ) and outreach programs. Notable achievements include the Thomas Henry Huxley Medal and ERC grants. Advising & Grants: Supervises doctoral students in biomechanics and robotics. Leads projects funded by the ERC, BBSRC, and industry partnerships. His lab hosts UNIQ program visits and public engagement activities, including a 2022 Oxford Science Festival exhibit.

Daniel R. Sotoمشاهده پروفایل

دانشیار

• Energy Efficiency
• Renewable Energy
• Sustainable Development
• +۶ مورد دیگر

Daniel R. Soto is an Associate Professor and Chair of the School of Applied Human and Environmental Sciences at Sonoma State University. He holds a PhD in Applied Physics from Stanford University (2010), an MS in Physics from San Francisco State University (2004), and a BS in Electrical Engineering from Stanford (1994). Previously, he served as a postdoctoral fellow at Columbia University’s Earth Institute, focusing on solar microgrids in Mali and Uganda, and worked in industry developing optical micromechanical devices. His research bridges energy systems, robotics, and sustainable development. Key interests include energy efficiency in both large-scale and small-scale systems, reducing barriers to energy access in developing regions, and applying computational/communication technologies to energy challenges. His work also explores robotics and biomechanics, particularly multilegged locomotion and swarm intelligence. Recent publications highlight contributions to robotics locomotion frameworks, swarm dynamics, and granular terrain navigation. His 2023 work spans fluid propulsion mechanisms, frictional swimming algorithms, and emergent swarm behaviors. Earlier research (2012–2014) focused on photovoltaic microgrids and consumer-driven energy solutions in underserved areas. Affiliations include the Geography, Environment, and Planning department and the College of Humanities, Social Sciences, and the Arts. He is currently on leave for Spring 2025.

Charles Higginsمشاهده پروفایل

دانشیار

• Computational Neuroscience
• Bio-inspired Engineering
• Neural Systems Modeling
• +۳ مورد دیگر

Charles Higgins is an Associate Professor at the University of Arizona, specializing in computational neuroscience and bio-inspired engineering. His research integrates mathematical modeling of neural systems with engineering applications, bridging neurobiology and robotics. The Higgins Laboratory collaborates closely with neurobiology labs to study insect sensory systems and translate findings into efficient computational and VLSI designs for visual navigation and motion processing. Key projects include biomimetic visual motion sensors, small-target tracking algorithms, and neuromorphic architectures for autonomous systems. Research interests focus on understanding biological neural architectures—particularly in insects—and applying these insights to create superior engineering solutions. Notable contributions include models of elementary motion detection in flies, VLSI implementations of visual motion algorithms, and systems for obstacle avoidance in robotics. His work emphasizes parallel, continuous-time computing inspired by neuronal circuitry. Publications highlight advancements in bio-inspired visual processing, including motion detection modules for dragonfly-inspired robots and algorithms for image speed estimation. Higgins' engineering innovations often aim to mimic natural systems' efficiency and robustness, with applications in both basic science and applied robotics. Labs and collaborations involve cross-disciplinary teams focused on integrating biological principles with cutting-edge technology. While no specific awards are listed, his extensive publication record reflects sustained contributions to neuromorphic engineering and computational neuroscience.

Tobias Seidlمشاهده پروفایل

استاد

• Bionics
• Biomechanics
• Neuroethology
• +۳ مورد دیگر

Prof. Tobias Seidl serves as Vice Dean at the Westphalian Institute for Bionics within the Department of Mechanical Engineering at the Westphalian University of Applied Sciences in Bocholt, Germany. He has been with the university since January 2011, teaching bionics and sensor technology while leading research in biomimetic applications for robotics and engineering. Education: Bionics studies at Saarbrücken PhD on desert ant navigation systems under Rüdiger Wehner at the University of Zurich with fieldwork in Tunisia Professional experience at the European Space Agency (ESA) in Noordwijk, Netherlands Research Focus: Prof. Seidl's work centers on bionics , translating biological principles into engineering solutions. His expertise spans neuroethology (neural basis of natural behavior), functional morphology (structure-function relationships), and biomechanics . Key application areas include biomimetic robotics inspired by ants and spiders, sensor development, and bio-inspired materials. His research consistently bridges entomology with robotics, aerospace, and materials science to solve complex engineering challenges. Publication Trends: Recent publications (2025-2016) reveal a strong focus on biomimetic applications in robotics, 3D printing, and aerospace. Dominant themes include adaptive biomimetic valves for automotive cooling, force-based path integration in walking robots, hydrophobic surface replication, and satellite deployable structures inspired by insect wings. His work consistently leverages biological observations—particularly from desert ants and spiders—to advance robotic locomotion, adhesion mechanisms, and space technology. Research Infrastructure: As head of the Westphalian Institute for Bionics, Prof. Seidl leads R&D projects such as developing force sensors in ant legs for robotic applications. His institute serves as a hub for interdisciplinary collaboration between biologists and engineers, focusing on translating biological insights into technical innovations for automotive, aerospace, and medical applications.

• Computer Vision
• Robotics
• Biomedical Engineering
• +۳ مورد دیگر

Javaan Singh Chahl is a Professor at the School of Engineering within UniSA STEM at the University of South Australia, based at the Mawson Lakes Campus. His roles include DST Joint Chair of Sensor Systems. His research focuses on biomimetic systems, computer vision, UAV control, thermal management, and biomedical applications. He has authored/co-authored over 20 peer-reviewed publications since 2013, including work on ocular disease detection via deep learning, UAV gesture recognition datasets, and thermal management of electrical motors using Peltier technology. Education: Not explicitly listed in provided texts. Affiliations: UniSA STEM, School of Engineering, DST Joint Chair role. Research highlights include: Bioinspired flight control systems mimicking insect optical sensors and appendages. Development of vision-based systems for non-invasive medical diagnostics (e.g., ocular diseases, neonatal jaundice) using computer vision and Raspberry Pi platforms. Innovative thermal management solutions for electrical motors leveraging thermoelectric coolers. Creation of UAV-GESTURE dataset advancing gesture-based drone control. His work bridges robotics, biomedical engineering, and environmental monitoring, with applications in healthcare, disaster relief, and autonomous systems.

Orit Pelegمشاهده پروفایل

دانشیار

• Biological Communication Systems
• Collective Behavior in Insects
• Firefly Synchronization
• +۶ مورد دیگر

Orit Peleg is an Associate Professor at the University of Colorado Boulder in the Department of Computer Science , BioFrontiers Institute , and holds a courtesy appointment in the Department of Ecology and Evolutionary Biology . She is also an External Faculty member at the Santa Fe Institute . Her interdisciplinary lab investigates biological communication signals using insect swarms as model systems, focusing on fireflies and honeybees. Research Interests: The lab explores universal principles of biological communication across modalities (chemical, sound, light), emphasizing spatiotemporal integration, signal optimization, and collective decision-making. Current projects include firefly flash synchronization, honeybee aggregation dynamics, honeycomb construction mechanics, and deep-sea temporal structures. Scientific Awards: Cottrell Scholar Award Sloan Fellow in Physics National Geographic Explorer Collaborations: Partners include Prof. G.J. Stephens (Okinawa Institute of Technology/Vrije Universiteit Amsterdam), Prof. K. Jayaram (CU Boulder), Prof. F. López Jiménez (CU Boulder), Prof. L. Mahadevan (Harvard), and Prof. M. Dacke (Lund University).