جست‌وجوی استاد و پژوهشگر

Nick Cheneyمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Robotics
• Machine Learning
• +۷ مورد دیگر

Nick Cheney is an Associate Professor in the Department of Computer Science at the University of Vermont, leading the UVM Neurobotics Lab. He also serves as Graduate Program Director and is affiliated with the Vermont Complex Systems Center, an interdisciplinary hub for data-rich complex systems research. PhD in Computational Biology and Biological Statistics from Cornell University Advised by Hod Lipson and Steve Strogatz His research focuses on bio-inspired machine learning algorithms, particularly in evolutionary computation, deep learning, and reinforcement learning. Key applications span robotics, healthcare diagnostics, and environmental science. The lab's interdisciplinary work has been recognized with prestigious awards including the NSF CAREER Award and SIGEVO Impact Award . Recent publications highlight advancements in morphological computation, continual learning, and cross-domain applications of machine learning. His team develops algorithms for soft robots, medical diagnostics using wearable sensors, and sustainable agriculture systems, often publishing in venues like the Nature Scientific Reports , GECCO , and Soft Robotics . Scientific Awards : NSF CAREER Award SIGEVO Impact Award The lab actively mentors graduate students in Complex Systems and Data Science, with alumni securing positions at institutions like Harvard, UC Berkeley, and Medidata. Collaborative grants with biomedical and environmental researchers demonstrate the lab's commitment to societal impact through machine learning applications.

• Visual Physiology
• Neurobotics
• Insect Visual Systems
• +۴ مورد دیگر

Associate Professor Steven Wiederman holds the position of Associate Dean Research in the Faculty of Health and Medical Sciences at the University of Adelaide. He leads the Visual Physiology & Neurobotics Laboratory within the School of Biomedicine. His research focuses on understanding visual processing in insects, particularly dragonflies, and translating these insights into applications for autonomous robotics and neuro-inspired systems. Key areas include target detection, optic flow processing, and selective attention mechanisms in biological systems. His interdisciplinary work combines electrophysiological techniques, computational modeling, and robotics engineering. Current projects explore how dragonfly neurons enable precise tracking of moving targets amidst clutter, with applications in developing advanced vision systems for drones and robots. He has secured significant funding through ARC fellowships and industry partnerships, including projects on neuro-inspired deep learning for defense applications. Academic achievements include an ARC DECRA Fellowship (2011–2015) and an ARC Future Fellowship (2016–2020). He is a member of the ARC College of Experts and actively supervises PhD and Master’s students in neuroscience, robotics, and computational biology. His lab collaborates with engineers and computer scientists to bridge biological insights with technological innovation. Publications highlight breakthroughs in understanding neuronal mechanisms underlying predictive vision, selective attention, and adaptive processing in dragonfly visual systems. Media coverage includes features in Wall Street Journal , New York Times , and Science Daily , emphasizing the potential of insect-inspired solutions for future technologies.

• Neurophysiology
• Social Cognition
• Motor System Physiology
• +۳ مورد دیگر

Prof. Maria Alessandra Umiltà is an Associate Professor of General Physiology at the University of Parma’s Department of Food and Drug Sciences. She holds adjunct positions at Columbia University’s Department of Art History and Archaeology (since 2010) and has held visiting roles at University College London. Her research focuses on the cortical motor system’s role in cognitive functions, social cognition, and embodied perception. She has contributed to projects like NeuroProbes and NEUROBOTICS, advancing technology for neural recording. Education: BSc in Biological Sciences (University of Bologna, 1996) PhD in Neuroscience (University of Parma, 2000) Research Interests: Prof. Umiltà investigates how motor systems underlie higher cognitive functions, including action understanding, emotional perception, and aesthetic evaluation. Her work bridges neuroscience with art, film, and social interaction, employing EEG, fMRI, and behavioral studies. Recent studies explore trauma’s impact on social cognition and embodiment in cinematic experiences. Articles Trends: Recent publications emphasize embodied cognition’s role in aesthetic judgment, emotional processing, and motor inhibition in language. Key themes include cross-modal correspondences, trauma’s neurobiological effects, and sensorimotor mechanisms in film perception. Grants & Projects: EU-funded NeuroProbes and NEUROBOTICS projects (neural interface tech) PRIN projects on motor cognition and mirror systems Labs/Teams: Collaborates with interdisciplinary groups studying art neuroscience, trauma effects, and embodied interaction. Leads studies on sensorimotor foundations of perception at the University of Parma.

• Neuroscience
• Physiology
• Mirror Neurons
• +۶ مورد دیگر

Maria Alessandra Umiltà is an Associate Professor of Physiology at the Department of Food and Pharmaceutical Sciences, University of Parma. She has maintained a dual academic appointment as Adjunct Senior Research Scholar at Columbia University's Department of Art History and Archaeology since 2010. Her academic journey began with a Laurea cum laude in Biological Sciences from the University of Bologna (1996) followed by a PhD in Neuroscience from the University of Parma (2000). She previously held a permanent Researcher position in Physiology at the University of Parma from 2005 to 2015 and completed a Wellcome Trust-funded research fellowship at University College London. Professor Umiltà's research focuses on the cortical motor system's role in higher cognitive functions, voluntary movement inhibition mechanisms, and the neural basis of social cognition. Her work bridges neuroscience with art, aesthetics, and social cognition, examining how sensorimotor processes contribute to emotional recognition, aesthetic experiences, and social understanding. She has made significant contributions to mirror neuron research and embodied cognition theories, with recent work exploring childhood trauma effects, motor inhibition in language processing, and the relationship between bodily movements and cognitive processes. Her publication record spans over two decades, with recent work (2021-2024) demonstrating continued productivity in high-impact journals. These studies explore diverse topics including childhood maltreatment impacts, multisensory integration, aesthetic experiences, and the embodiment of language processing. Her research consistently applies neuroscience methods to understand fundamental cognitive and social processes. National Scientific Qualification as Associate Professor in Physiology (2014) National Scientific Qualification as Full Professor in Physiology (2017) Wellcome Trust Research Fellowship Professor Umiltà has been actively involved in teaching physiology to pharmacy and audiology students since 2006 and has served on the Neuroscience PhD program faculty since 2013. She has participated in major European research projects including NEUROBOTICS and NeuroProbes, with the latter contributing to technological transfer that led to the creation of ATLAS neuro, a company producing neural recording electrodes. Her research demonstrates strong interdisciplinary connections between neuroscience, psychology, art, and clinical applications.

Sebastian Schröerمشاهده پروفایل

پژوهشگر

• Human-Robot Interaction
• Machine Learning
• Autonomous Systems
• +۲ مورد دیگر

Sebastian Schröer is a researcher in the Autonomous Intelligent Systems group within the Department of Computer Science at Albert-Ludwigs-Universität Freiburg, Faculty of Engineering. He has been actively contributing to research since 2013, focusing on intelligent robotics and human-robot interaction. Education: Diploma in Physics, University of Freiburg (2005–2013) PhD Student, Autonomous Intelligent Systems Group, University of Freiburg (2013–present) His research centers on human-robot interaction and machine learning , with current involvement in the NeuroBots project, aiming to develop brain-controlled robotic devices. This work bridges neuroscience and robotics, leveraging real-time neural signal interpretation for adaptive robotic control. His earlier work in photovoltaics reflects a strong interdisciplinary background in applied physics and engineering. The publication trends show a shift from materials and energy research (particularly solar cells) to intelligent systems and robotics. While his early articles focus on semiconductor device optimization and photovoltaic efficiency, his current trajectory aligns with autonomous systems and AI, indicating a pivot toward computational and cognitive robotics. Scientific Awards: Sebastian Schröer has contributed to research grants in photovoltaics during his time at the Fraunhofer Institute and is now involved in AI and robotics research under Prof. Wolfram Burgard. He has advised students indirectly through his role as a teaching assistant in Economical Mathematics. No formal advisees are listed. He was a teaching assistant for Economical Mathematics at the University of Freiburg from 2007 to 2011, supporting undergraduate instruction. He is part of the Autonomous Intelligent Systems research group, which focuses on developing intelligent robots capable of perception, learning, and interaction in dynamic environments. The team emphasizes real-world applications in assistive technologies, autonomous navigation, and brain-machine interfaces.

Daniel Kuhnerمشاهده پروفایل

پژوهشگر

• Robotics
• Autonomous Intelligent Systems
• Human-Robot Interaction
• +۷ مورد دیگر

Daniel Kuhner is a researcher in the Department of Computer Science at the University of Freiburg, affiliated with the Autonomous Intelligent Systems group under Prof. Dr. Wolfram Burgard. He holds a B.Sc. and M.Sc. in Computer Science from the same institution and has been a PhD student since 2013. Education: Bachelor of Science in Computer Science, University of Freiburg (2007–2010) Master of Science in Computer Science, University of Freiburg (2010–2013) His research centers on robotics and intelligent systems, with key interests in object manipulation, motion planning, human-robot interaction, and brain-computer interfaces. He is involved in the NeuroBots project under the BrainLinks-BrainTools initiative, focusing on assistive technologies for users with communication impairments. His teaching includes organizing proseminars and system design projects on brain signal decoding from 2014 to 2018. Daniel Kuhner's recent publications highlight trends in robot task planning using natural referring expressions, tactile-based object segmentation, and BCI-driven assistive robotics. His work bridges autonomous exploration, real-time interaction, and adaptive systems, emphasizing practical applications in assistive and service robotics. Scientific Awards: No scientific awards mentioned in the provided text. Daniel Kuhner has supervised multiple bachelor's theses, including those of Claas Bollen and Milan Benninger. He has been involved in organizing academic teaching activities and research projects. While no grants are explicitly listed, his participation in BrainLinks-BrainTools indicates involvement in funded interdisciplinary research. He is also associated with the development of autonomous exploration frameworks and assistive robotic systems. Labs and Teams: Autonomous Intelligent Systems Group, University of Freiburg NeuroBots Project, BrainLinks-BrainTools

• Robotics
• Computer Vision
• Robot Learning
• +۳ مورد دیگر

Renaud Detry is an Associate Professor at KU Leuven, Belgium, with dual appointments in the Department of Electrical Engineering (ESAT) and the Department of Mechanical Engineering. He is a member of the Leuven.AI Institute and the ELLIS Society, and serves as an associate editor for IEEE Transactions on Robotics and conference series like IROS and ICRA. His research focuses on robot learning, computer vision, and their applications in manufacturing, agriculture, healthcare, space robotics, and planetary exploration. He holds a Ph.D. and has prior roles as an Assistant Professor at UCLouvain and Group Lead at NASA JPL. His work includes projects like the robotic construction system for shotcrete digitization (RoBétArmé) and space robotics for Mars Sample Return. He advises students such as Louis Hanut, Yurui Du, and Pinhao Song, and collaborates with institutions like ULiege and KTH. His recent publications emphasize adaptive robotic frameworks, uncertainty-aware learning, and multi-task diffusion policies. Notable awards include a Best Presentation Award at the ECCV 2022 Workshops. His grants include leadership in projects like Neurobotics (2022–2026) and Learning Partially-factorized Manipulation Tasks (2021–2023). He maintains active roles in academic networks, including the Council of the Faculty of Engineering Science and departmental councils. His lab focuses on bridging perception, learning, and control for real-world robotic applications in challenging environments.

• Biomedical Engineering
• Wireless Power Transfer
• Optogenetics
• +۱۴ مورد دیگر

Dr Rupam Das is a Senior Lecturer in the Department of Electronic Engineering at the University of Exeter, UK, affiliated with the Nano Engineering Science and Technology (NEST) group and the Centre for Metamaterial Research and Innovation (CMRI). His research focuses on developing wireless, implantable bioelectronic systems for treating neurological disorders and cancer, leveraging metamaterials, flexible electronics, and optogenetics. PhD in Electrical & Electronics Engineering, University of Ulsan, South Korea (2017) MSc in Medical & Biological Engineering, University of Ulsan, South Korea (2013) BSc in Electrical & Electronics Engineering, Chittagong University of Engineering & Technology, Bangladesh (2010) His research spans biomedical engineering, materials science, and neurotechnology, with a strong emphasis on translational medical devices. He investigates MRI compatibility, wireless power transfer, and neural interface design, aiming to create safe, scalable, and implantable systems for brain stimulation and disease modulation. Dr Das has secured significant research funding as Principal Investigator and Co-Investigator from EU Horizon, EPSRC, Royal Society, and Dstl, including projects like INTRABRAIN, NEUROBOT, GRAIN, and BRAINSTORM. His work bridges fundamental science and clinical applications in precision neurotechnologies and cancer immunotherapy. Scientific Awards and Recognitions: Marie Curie Fellow (EU H2020 MSCA-IF) Brain Korea (BK21) Postdoctoral and Doctoral Fellow IEEE Senior Member Guest Editor, Philosophical Transactions of the Royal Society A Local Organizer, ICECS 2020; Session Chair, ICECS 2022 Supervision of award-winning student (Philip Booth Prize in Engineering) Dr Das actively mentors students at MSc and PhD levels and leads a dynamic research group in next-generation bioelectronics. He is currently recruiting PhD and postdoctoral researchers to advance wireless, implantable devices for neurological and oncological applications. He is involved in major research networks including Health Technologies @ Exeter, and collaborates with institutions across Europe, particularly the University of Glasgow. His lab focuses on the development of graphene-based neural implants, magnetoelectric antennas, and nanoplatforms for closed-loop neuromodulation and immunotherapy.

Christian Wilmsمشاهده پروفایل

پژوهشگر

• Computer Vision
• Object Recognition
• Image Segmentation
• +۶ مورد دیگر

Christian Wilms is a Researcher at the University of Hamburg's Department of Informatics within the Faculty of Mathematics, Informatics and Natural Sciences, where he contributes to the Computer Vision Research Group's cutting-edge work in visual recognition systems. His research focuses on: Object recognition techniques including proposal generation, instance segmentation, and detection Foundation models for segmentation and superpixel-based algorithms Applications in agricultural monitoring, medical imaging, and industrial inspection Multi-modal signal processing for audio-visual perception Analysis of his recent publications reveals a strong emphasis on solving small object detection challenges through semi-supervised learning and attention mechanisms, particularly evident in orchard monitoring applications. His work consistently bridges theoretical advances in segmentation topology with practical implementations in drone-based systems and industrial anomaly detection. As part of the Computer Vision Research Group led by Prof. Simone Frintrop, Wilms contributes to major projects including InteGreatDrones, Crossmodal Learning, and NEUROBOTICS, which explore active perception, object pose estimation, and simultaneous localization in complex environments.

André Kelmمشاهده پروفایل

پژوهشگر

• Deep Learning for Industrial Innovation
• Domain Adaptation
• Synthetic Data Applications
• +۶ مورد دیگر

André Kelm is a PhD candidate in the Computer Vision group at the Department of Informatics , University of Hamburg, affiliated with the Faculty of Mathematics, Informatics and Natural Sciences . His research spans deep learning for industrial innovation, domain adaptation, and synthetic data applications, with interdisciplinary interests in physics, audio, medical, and biological domains. His work focuses on efficient adaptive inference , interpretability in deep learning , and bottom-up/top-down attention mechanisms . Recent publications highlight applications in drone-based port monitoring , dynamic neural network optimization , and multimodal knowledge distillation . Projects he contributes to include InteGreatDrones , Crossmodal Learning (CML) , and NEUROBOTICS . For collaboration, contact him at andre.kelm@uni-hamburg.de.

Elisa Rigosiمشاهده پروفایل

پژوهشگر

• Neurobiology
• Neuroethology
• Sensory Biology
• +۱۰ مورد دیگر

Elisa Rigosi is a Researcher in the Department of Biology at Lund University, Faculty of Science, specializing in sensory biology and neuroethology. She investigates how insect sensory systems function, with a strong focus on visual processing and the neurotoxic effects of pesticides on non-model pollinators such as hoverflies. She joined David O’Carroll’s lab in 2016 and has since led interdisciplinary research projects on sublethal pesticide impacts on insect brains and behavior. Master’s in Neurobiology, University of Pisa, Italy PhD in Neurophysics, Chemical Ecology, and Cognitive Science, University of Trento, Italy Postdoctoral Fellowship, Visual Physiology & Neurobotics Laboratory, University of Adelaide, Australia Her research centers on insect vision, neural asymmetries, photoreceptor physiology, and ecotoxicology. She employs techniques such as in vivo calcium imaging, intracellular recording, and behavioral assays to study sensory transduction and neural processing in insects. Her work contributes to understanding pollinator decline and pesticide risk assessment. Recent publications highlight trends in neurotoxicology, particularly the effects of neonicotinoids like imidacloprid on pollinators. Her studies integrate electrophysiology, optical mapping, and machine learning to assess visual acuity, contrast sensitivity, and neural circuit modulation. She also explores structural and temporal neural asymmetries in insects, linking sensory processing to behavior. Scientific contributions include: Coordinating interdisciplinary projects on pesticide neurotoxicity Developing novel oral bioassays for toxicity testing Advancing understanding of insect visual systems across species Supervising doctoral and master’s research Rigosi actively supervises graduate students and contributes to externally funded research projects, including those supported by FORMAS. She regularly presents her findings at international conferences such as the International Conference on Invertebrate Vision and KIC ERA meetings. Her collaborative network spans institutions in Sweden, Australia, and beyond, focusing on sustainable solutions for pollinator health. She is involved in multiple active research initiatives, including electrophysiological studies of photoreceptors, optical eye mapping, and machine learning–enhanced contaminant detection. Her lab integrates neurobiological techniques with environmental science to address pressing ecological challenges.