جست‌وجوی استاد و پژوهشگر

Sean Wilsonمشاهده پروفایل

پژوهشگر

• Remotely-accessible robotic hardware
• Collaborative autonomy
• Swarm robotics
• +۵ مورد دیگر

Sean Wilson is a Researcher at the Georgia Institute of Technology , affiliated with the College of Engineering and the School of Electrical and Computer Engineering . He serves as the Collaborative Autonomy Branch Chief at the Georgia Tech Research Institute (GTRI) and Director of the Robotarium Lab (https://www.robotarium.gatech.edu/), which provides free remote access to robotic hardware for algorithm testing. Educational Background: B.A. in Physics and Mathematics from State University of New York at Geneseo (2012) M.S. and Ph.D. in Mechanical Engineering from Arizona State University (2017) Dr. Wilson's research focuses on remotely-accessible robotic hardware , collaborative autonomy , and control of multi-agent and swarm robotic systems . His recent publications emphasize distributed control, swarm robotics, and bio-inspired robotic behaviors. The Robotarium Lab he directs enables global access to robotics testbeds for control research. Research Themes (2014-2023): Remote-access robotics (5), swarm coordination (7), bio-inspired algorithms (3), barrier functions (2), multi-robot systems (9), and control theory (4). Sean operates from the Robotarium Lab (Office Location: CCRF B11-3133D) as part of Georgia Tech's Institute for Robotics and Intelligent Machines (IRI) core faculty. His work bridges robotics infrastructure development with theoretical control research.

Mike Rubensteinمشاهده پروفایل

استادیار

• Swarm Robotics
• Multi-Robot Systems
• Decentralized Control
• +۳ مورد دیگر

Mike Rubenstein is an Assistant Professor with joint appointments in the Department of Computer Science and Department of Mechanical Engineering at Northwestern University. He holds the Lisa Wissner-Slivka and Benjamin Slivka Professorship in Computer Science and is affiliated with the Center for Robotics and Biosystems. His educational background includes a Ph.D. in Computer Science from the University of Southern California, an M.S. in Electrical Engineering from USC, and a B.S. in Electrical Engineering from Purdue University. Prior to joining Northwestern, he completed a postdoctoral fellowship at Harvard University's Self-Organizing Systems Research Group. Rubenstein's research focuses on advancing multi-robot systems to enable capabilities beyond traditional single robots, emphasizing parallelism, adaptability, and fault tolerance at scale (hundreds to millions of robots). His work spans swarm shape control, modular self-reconfigurable robotics, bio-inspired satellite constellations, and novel sensing for air vehicle swarms. Key themes include algorithmic control for large-scale systems and hardware innovations to overcome current limitations in swarm robotics. His advising has produced notable student achievements, including Petras Swissler's Best Student Paper Award at DARS 2021 and Drew Curtis's NDSEG Fellowship. Research trends across his publications reveal a consistent emphasis on scalability, real-world applicability, and bridging hardware constraints with algorithmic innovation in swarm systems. Rubenstein actively mentors graduate students and leads projects involving swarm robotics platforms like FireAnt and PCBot. His lab focuses on developing systems where simplicity in individual robots enables emergent complexity at the swarm level, with applications ranging from space exploration to medical imaging.

Benjamin Evansمشاهده پروفایل

استادیار

• Computational Neuroscience
• Spiking Neural Networks
• Convolutional Neural Networks
• +۷ مورد دیگر

Dr. Benjamin Evans is an Assistant Professor in Computer Science & AI (Informatics) at the University of Sussex , affiliated with the School of Engineering and Informatics . His research integrates computational neuroscience and artificial intelligence, focusing on biologically inspired neural networks. Current Position: Assistant Professor, Department of Informatics, University of Sussex Previous Roles: Research Associate at University of Bristol, University of Exeter, Imperial College London, and University of Oxford Education: DPhil in Computational Neuroscience (University of Oxford), MSc in Intelligent Systems (UCL), BA in Experimental Psychology (Oxford) His research centers on how neural systems self-organize to produce intelligent behavior, studied through both biological and computational modeling. He investigates spiking neural networks , convolutional neural networks , and the role of biological constraints in enhancing AI robustness and human-like perception. He is particularly interested in how spike-based information processing contributes to adaptive cognition in noisy environments. His recent publications reveal a strong trend in evaluating deep neural networks as models of human vision, questioning their biological plausibility while proposing bio-inspired improvements. He also works on optogenetics simulation (e.g., PyRhO platform), developmental biology modeling , and reproducible data science through containerization tools like Docker. His scientific contributions have been recognized through publications in high-impact journals such as Nature Communications , PLoS Computational Biology , and Behavioral and Brain Sciences . EPSRC Grant: "Exploring the multiple loci of learning and computation in simple artificial neural networks" (2023–2024) EPSRC Grant: "Using ant biology and natural environments to enhance models of vision and robot navigation" (2022–2026) Dr. Evans actively contributes to open science through GitHub repositories (e.g., PyRhO, DPE, BioNet) and promotes reproducible research. He has no listed advisees in the provided data, but leads funded research projects involving junior researchers. He is a core member of the Informatics research group at Sussex, contributing to both AI and neuroscience domains.

Clark N. Taylorمشاهده پروفایل

دانشیار

• Computer Engineering
• Navigation Systems
• Sensor Fusion
• +۱۲ مورد دیگر

Dr. Clark N. Taylor is an Associate Professor of Computer Engineering and Director of the ANT Center at the Air Force Institute of Technology (AFIT), located at Wright-Patterson Air Force Base, Ohio. He is actively engaged in research and education within the Graduate School of Engineering and Management, focusing on advanced navigation and sensor fusion technologies for autonomous systems. Ph.D., Electrical and Computer Engineering (Computer Engineering), University of California, San Diego, 2004 M.S., Electrical and Computer Engineering, Brigham Young University, 1999 B.S., Electrical and Computer Engineering, Brigham Young University, 1995 Dr. Taylor's research spans computer engineering, navigation systems, and autonomous robotics, with a strong emphasis on sensor fusion, state estimation, and robust uncertainty modeling. His work integrates vision, inertial, magnetic, and pressure sensors for navigation in GPS-denied environments, particularly for unmanned aerial vehicles (UAVs). He is a leading expert in factor graph-based estimation, visual-inertial odometry, cooperative localization, and magnetic navigation. His publications demonstrate a consistent trend toward robust, uncertainty-aware estimation frameworks. Over the past decade, his research has evolved from early work on visual stabilization and pose estimation to advanced topics such as conservative covariance estimation, invariant filtering, and machine learning for spacecraft pose estimation. His recent articles focus on factor graphs, multi-agent fusion, and deep learning, indicating a trajectory toward intelligent, resilient navigation systems for defense and aerospace applications. Scientific awards include a Best Presentation in Session award at the ION GNSS+ conference in 2021. His research is supported by the U.S. Air Force and related defense agencies, with applications in surveillance, autonomous refueling, and on-orbit inspection. Dr. Taylor has advised numerous MS and PhD students, particularly in the areas of UAV navigation, sensor fusion, and cooperative localization. His lab, the ANT Center, focuses on advanced navigation and tracking, bringing together students and researchers to develop cutting-edge solutions for real-world operational challenges. The team conducts both simulation and experimental work, often integrating novel sensor modalities and estimation algorithms for improved system performance.

• Distributed computing
• Real-time computing
• Algorithms and lower bounds
• +۳ مورد دیگر

Nancy A. Lynch is the NEC Professor of Software Science and Engineering and Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology, where she heads the Theory of Distributed Systems (TDS) group within CSAIL. Research Interests Distributed computing algorithms and lower bounds Real-time and fault-tolerant systems Formal modelling and verification Wireless network algorithms Biological distributed algorithms Neural computation and spiking networks Across her work, Lynch blends rigorous theoretical analysis with practical relevance, tackling problems ranging from consensus and leader election in unreliable networks to modelling decision-making circuits in the brain. Publications & Trends Since 2020 she has published extensively on distributed algorithms , swarm robotics , neuromorphic architectures , and biologically-inspired computation . Notable recent directions include hierarchical concept learning in spiking neural networks, nanobot locomotion modelling for cancer detection, and superconducting nanowire platforms for energy-efficient neural hardware. Scientific Awards & Honors Best Paper Award, OPODIS 2018 Best Paper Award, IEEE NCA 2014 Highlight Paper, Neuromorphic Computing and Engineering 2022 Teaching & Advising Lynch teaches core graduate and undergraduate subjects at MIT including 6.042J Mathematics for Computer Science , 6.852J/18.437 Distributed Algorithms , and 6.885/6.006 Algorithms . She has supervised dozens of PhD students and post-docs whose names are listed on her Past Students page. Laboratory & Teams She leads the Theory of Distributed Systems (TDS) Group , a vibrant research team within MIT CSAIL . TDS is part of the larger Theory of Computation group and hosts weekly seminars, reading groups, and collaborative projects with partners across MIT and worldwide.

Lauren O'Connellمشاهده پروفایل

دانشیار

• Evolutionary Neuroscience
• Physiology
• Chemical Ecology
• +۴ مورد دیگر

Lauren O'Connell is an Associate Professor in the Department of Biology at Stanford University, where she investigates how genetic and environmental factors contribute to biological diversity and adaptation. Her research focuses on the neural basis of parent-offspring communication, spatial cognition evolution, and toxin sequestration mechanisms in amphibians. She earned her Ph.D. in Cellular and Molecular Biology from the University of Texas at Austin (2011) B.S. in Biological Sciences from Cornell University (2006) A.A. in Natural Sciences from Tarrant County Community College (2004) Research interests span evolutionary neuroscience and physiology, particularly exploring: Neural mechanisms of parent-offspring communication in poison frogs Spatial cognition evolution in amphibians Physiological adaptations for chemical defense acquisition Vertebrate pair bonding mechanisms Her work integrates field studies in Ecuador, Madagascar, and Australia with laboratory experiments on brain function and toxin metabolism. Recent publications highlight innovations in Amphibian electrophysiology methods Microbiome interactions with alkaloids Neural correlates of social behavior Chemical defense ecology Scientific honors include 2023 Camille Dreyfus Teacher-Scholar Award 2018 Frank A. Beach Award 2015 For Women in Science Fellowship 2013 Capranica Prize 2012 Young Investigator Award 2011 Early Career Award She mentors a diverse team across multiple projects, emphasizing inclusivity and equity in science training programs. Her lab supports community college students through NSF-funded initiatives and engages in international collaborations with institutions like Flinders University and Centro Jambatu.

• Social Insect Biology
• Phenotypic Plasticity
• Behavioral Ecology
• +۳ مورد دیگر

Romain Libbrecht is a CNRS Research Fellow at the University of Tours, France, affiliated with the Research Institute on Insect Biology (IRBI) under the UFR of Sciences and Techniques. Previously, he held positions as an Assistant Professor at the University of Mainz and conducted postdoctoral research internationally. His research focuses on understanding phenotypic plasticity and division of labor in social insects, particularly ants, integrating evolutionary biology, behavioral ecology, molecular biology, and epigenetics. Education highlights include a PhD from the University of Lausanne (2012), a Master’s from the University of Rennes (2007), and research internships at the University of Reading (2005-2006). His work explores how environmental and social factors influence ant behavior, physiology, and gene expression through multi-disciplinary approaches. Research interests emphasize the molecular mechanisms underlying caste differentiation, task specialization, and social organization. Key findings include the role of transcriptional activity in response to queen loss, the impact of worker diversity on colony productivity, and sensory-driven division of labor via odorant receptors. His articles consistently investigate insect social systems, with recent work focusing on invasive ant species and the interplay between parasite load and host physiology. No notable awards are listed, but his contributions to ant genomics and epigenetics have advanced understanding of social evolution. Lab affiliations include the IRBI, where he collaborates on projects bridging ecology and molecular biology. No specific grants or advising roles are detailed, but his transcontinental academic journey reflects a commitment to global scientific collaboration.

Kerstin Bunteمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• XAI (Explainable Artificial Intelligence)
• +۷ مورد دیگر

Kerstin Bunte is a Professor of Machine Learning for interdisciplinary data analysis at the University of Groningen, affiliated with the Faculty of Science and Engineering and the Bernoulli Institute's Intelligent Systems Group. She holds an Honorary Fellowship at the University of Birmingham and leads the Intelligent Systems Group. Her research focuses on interpretable machine learning, interdisciplinary applications (e.g., astrophysics and biomedical data), and visualization techniques. Research Interests: - Machine Learning - Artificial Intelligence - Explainable AI (XAI) - Interpretable Models - Dimensionality Reduction - Data Visualization - Astrophysical Data Analysis - Medical Imaging Awards & Grants: - DSSC XS funding (2023) - NWO VIDI grant (2020) - Rosalind Franklin Fellowship (2016–present) Advising & Students: Supervised PhD students include Elisa Oostwal, Janis Norden, Matteo Marcantoni, and Petra Awad. Research spans topics like tumor segmentation in medical imaging, astrophysical structure detection, and autonomous navigation systems. Labs & Collaborations: Leads the Intelligent Systems Group, collaborating with institutions like the University of Birmingham and the University of Warwick. Work involves interdisciplinary projects combining machine learning with astronomy, biomedical sciences, and robotics.

Nicole Abaidمشاهده پروفایل

دانشیار

• Dynamical Systems
• Control Theory
• Multi-Agent Systems
• +۵ مورد دیگر

Nicole Abaid is an Associate Professor in the Department of Mathematics at Virginia Tech, affiliated with the College of Science. Her research integrates dynamical systems, control theory, and robotics to study collective behavior in biological and engineered systems. She explores biologically-inspired models, such as bat swarms and brain networks, to develop applications in robotics and environmental monitoring. Her work combines agent-based modeling, network analysis, and data-driven approaches to understand interactions in animal groups and robotic systems. Notable projects include analyzing bat echolocation for acoustic sensing in robotics and studying stress effects in human crowd dynamics during emergencies. She has also contributed to piezoelectric energy harvesting and ex vivo muscle stimulation via Functional Electrical Stimulation (FES). Abaid’s research has been supported by grants like the NSF CAREER Award for collective behavior studies. She collaborates on interdisciplinary projects, including outreach programs in biomimetics and robotics for K-12 education. Her publications span journals and conferences, emphasizing applications in ecology, robotics, and control systems.

Ken Chengمشاهده پروفایل

استاد

• Animal Behavior
• Spatial Cognition
• Insect Navigation
• +۳ مورد دیگر

Ken Cheng is a Professor at the School of Natural Sciences, Macquarie University, specializing in animal behavior and spatial cognition. His research focuses on understanding how animals, particularly insects like desert ants (Melophorus bagoti) and bull ants (Myrmecia midas), navigate complex environments using spatial and sensory cues. He has conducted extensive fieldwork in Central Australia and on campus, studying topics such as landmark use, celestial navigation, and learning processes. Cheng's work spans over four decades, with major contributions to understanding insect navigation through experimental and theoretical approaches. His studies integrate behavioral ecology, experimental psychology, and comparative cognition. He has authored influential books, including How Animals Think and Feel (2016) and Biological Basis of Behavior (2018), and pioneered research on spatial reorientation and the role of geometry in animal cognition. Key research themes include the use of panoramic views, celestial cues, and oscillators in navigation, as well as the cognitive mechanisms underlying spatial learning and memory in insects. His team has explored how ants adapt to environmental changes, such as colony relocation during heavy rainfall, and how they integrate sensory information to orient themselves in novel environments. Cheng's publications span over 200 articles, covering topics like ant waste management strategies, the effects of UV light on navigation, and the application of psychophysical methods to study insect behavior. His lab's interdisciplinary approach bridges experimental and theoretical frameworks to advance our understanding of animal cognition and behavior.

TOLGA ERENمشاهده پروفایل

استاد

• Cooperative Localization
• Formation Control
• Wireless Sensor Networks
• +۳ مورد دیگر

Professor Tolga Eren serves as a faculty member in the Department of Electrical and Electronic Engineering at Kirikkale University's Faculty of Engineering and Natural Sciences. Holding a PhD from Yale University with postdoctoral training at Columbia University, he previously held a visiting professorship at KTH Royal Institute of Technology and earned his BSc from Bilkent University under full scholarship. His educational trajectory includes: BSc in Electrical and Electronics Engineering, Bilkent University (full scholarship) MSc from University of Massachusetts and Yale University PhD from Yale University Postdoctoral research at Columbia University Eren's research centers on networked systems with dual focus on cooperative localization in wireless sensor networks and formation control for multi-robot systems. He pioneers applications of optimization algorithms like Particle Swarm and Bat Algorithm for positioning challenges while advancing rigidity theory for network stability. His work bridges theoretical frameworks with practical implementations in constrained environments. Analysis of his 2019-2021 publications reveals three dominant trends: (1) Hybrid optimization approaches for wireless sensor network localization using swarm intelligence variants, (2) Rigidity-theoretic foundations for formation control under input constraints, and (3) Geometric methods for robot path smoothing and shape maintenance. These intersect at the nexus of graph theory, control systems, and distributed computing. Professor Eren has advised at least one graduate student, Gülçin AKTAŞ, who completed her departmental thesis in 2014. While no specific grants are documented in the available records, his research output demonstrates sustained investigation into networked system fundamentals through institutional support at Kirikkale University.

Matthew Frickeمشاهده پروفایل

عضو هیئت علمی

• Computational Biology
• Swarm Robotics
• High Performance Computing
• +۱۲ مورد دیگر

Matthew Fricke is a Research Associate Professor in the Department of Computer Science at the University of New Mexico, School of Engineering. He is affiliated with the Center for Advanced Research Computing (CARC), the Moses Biological Computation Lab, and the Lab for Agnostic Biosignatures, and contributes to the Interdisciplinary Working Group on Algorithmic Justice. His work bridges computer science, biology, and environmental science through computational modeling and robotics. His educational background includes a PhD and MS in Computer Science, a BS in Mathematics, all from the University of New Mexico, and a BA in Anthropology from Appalachian State University. Fricke's research centers on distributed complex systems, including computational biology (e.g., T cell and ant foraging dynamics), swarm robotics for planetary exploration and volcano surveys, high-performance computing, machine learning for climate modeling, and biosignature detection. He applies principles from biological systems to design efficient algorithms for robotic swarms and supercomputing environments. His recent publications (2020–2025) reveal a strong trend in applying machine learning and swarm robotics to Earth and space sciences, particularly in autonomous UAV-based environmental monitoring of volcanoes and climate systems. His work increasingly integrates causal discovery, field robotics, and interdisciplinary collaboration. He has mentored multiple PhD students, including Jannatul Ferdous, John Ericksen, Jake Nichol, and Humayra Tasnim, whose dissertations reflect his research themes. He has also secured research support through student-led projects in NASA robotics challenges and HPC competitions. Fricke teaches courses such as High Performance Computing, Swarm Robotics, and Complex Adaptive Systems, and leads workshops on SLURM, MPI, and scientific computing. He is actively involved in student mentorship and interdisciplinary research collaboration. His research labs include the Moses Biological Computation Lab and the Lab for Agnostic Biosignatures, where teams work on bio-inspired robotics, immune modeling, and planetary exploration technologies.

Rubén Martín Garcíaمشاهده پروفایل

مدرس

• Robotics
• Internet of Things (IoT)
• Systems Engineering
• +۵ مورد دیگر

Dr. Rubén Martín García is a Lecturer at the Universidad Politécnica de Salamanca , affiliated with the College of Computer Science and the Department of Systems Engineering and Automation . He is a member of the MARATON research group , focusing on mobile applications, internet of things, data processing, and semantic technologies. He earned his PhD in 2021 from the University of Salamanca with a thesis on anti-pheromone algorithms for urban search-and-rescue robots, supervised by Dr. Gabriel Villarrubia González and Dr. Javier Bajo Pérez. His research spans Robotics , Artificial Intelligence , and Smart Cities , with specific contributions to: Swarm robotics for disaster response Humanoid companions for elderly care Human-robot interaction in healthcare education Entropy-based modeling of shared mobility systems Stochastic navigation in urban environments AI-driven medication management systems Recent publications highlight his interdisciplinary work in medical robotics, swarm intelligence, and technology acceptance studies. His projects emphasize practical applications of IoT, semantic technologies, and open data frameworks.

Bethan Mitchellمشاهده پروفایل

مدرس ارشد

• Education
• Higher Education
• Adult Education
• +۹ مورد دیگر

Bethan Mitchell is a Senior Lecturer in the Faculty of Life Sciences and Education at the University of South Wales, affiliated with the Health, Care and Wellbeing Research and Innovation Group. She is actively involved in educational research, with a focus on higher and adult education, health promotion, and sociomaterial perspectives on teacher resilience. Her professional roles include external examiner duties at the University of Stirling and the University of Plymouth, and internal and chair roles in PhD vivas at Bath Spa University and the University of Bath. Her research interests include: Actor-Network Theory in education Health behaviour and health promotion Teacher resilience and work engagement Curriculum development, particularly in Wales Professional learning and practitioner inquiry Educational complexity and uncertainty Bethan's recent publications, spanning from 2011 to 2025, reflect a strong thematic focus on educational change, professional practice, and the application of sociomaterial and actor-network theories. Her work often involves collaboration with scholars such as Carmel Conn and Matt Hutt, particularly in edited volumes and conference workshops. The trend in her research output shows increasing engagement with systemic and interdisciplinary approaches to education, especially in the context of health and wellbeing. She has received the following award: Partner of Choice, 1 Dec 2009 Bethan is actively involved in advising and professional development, frequently presenting at workshops and symposia on publishing, doctoral research, and educational change. She has contributed to PhD training through speaking engagements on making research feasible and navigating post-PhD publishing. While no formal list of advisees is provided, her extensive involvement in PhD examination suggests mentorship and advisory roles. She is part of collaborative networks across the Welsh education system and beyond, working on partnerships and systemic agency in educational reform. She is a member of the Health, Care and Wellbeing Research and Innovation Group, which serves as her primary research unit, fostering interdisciplinary work in health and education.

Giuseppe Orioloمشاهده پروفایل

استاد

• Robotics
• Control Systems
• Autonomous Mobile Robots
• +۳ مورد دیگر

Giuseppe Oriolo is a Full Professor of Automatic Control and Robotics at the Department of Computer, Control and Management Engineering (DIAG) of Sapienza University of Rome, where he has been since 1994. He coordinates the DIAG Robotics Lab and has held teaching positions at the University of Siena, University of Cassino, and Roma Tre. Oriolo was a Visiting Scholar at the University of California, Santa Barbara, and serves on various editorial and program committees, including IEEE Transactions on Robotics and international conferences like ICRA and IROS. Education : Ph.D. in Systems Engineering (1992), Sapienza University of Rome His research focuses on robotics and control theory, particularly in robot control, motion planning, trajectory optimization, redundant robotic systems, control of underactuated systems, sensor-based localization, navigation for mobile robots, humanoid robots, and visual servoing. He has over 230 publications and contributes to advanced robotics frameworks. Recent publications highlight his work on Model Predictive Control (MPC) for humanoids and mobile robots, emphasizing robustness, singularity-free trajectories, and decentralized cooperation. His research addresses dynamic constraints, feasibility, and real-time adaptation in complex environments. Scientific Awards : 2017 IEEE Fellow, 2020 IEEE Robotics and Automation Magazine Best Paper Award, 2016 ANTS Best Paper Award, 2024 Human-Friendly Robotics Best Paper Award Oriolo's teaching includes Control Systems at Sapienza, with past roles in courses like Adaptive Systems, Nonholonomic Control, and Underactuated Robots. He has mentored numerous advisees through publications and lab activities. He leads the DIAG Robotics Lab, fostering innovation in humanoid robots, autonomous systems, and control theory.