جست‌وجوی استاد و پژوهشگر

Patricia A. Vargasمشاهده پروفایل

دانشیار

• Robotics
• Evolutionary Robotics
• Swarm Robotics
• +۷ مورد دیگر

Patricia A. Vargas is an Associate Professor/Reader in Computer Science and Robotics at the School of Mathematical & Computer Sciences, Heriot-Watt University, UK. She is the Founder Director of the Robotics Laboratory and Director of Ethics. Her research focuses on interdisciplinary robotics, including Evolutionary Robotics, Swarm Robotics, Biologically-Inspired Algorithms, Computational Neuroscience, and Neurorobotics. She holds IEEE Senior Member and Fellow of the Higher Education Academy titles. Education: PhD in Robotics, postdoc at the Centre for Computational Neuroscience and Robotics (University of Sussex, UK). She has contributed to over 66 research outputs since 2009, with recent work emphasizing neurorobotics, SLAM systems, and precision robotics. Her research aligns with UN Sustainable Development Goals, particularly in healthcare and industrial innovation. Research interests span from bio-inspired algorithms to human-robot interaction, with notable contributions in Parkinson’s disease modeling and swarm robotics. She co-founded the Edinburgh Centre for Robotics and is an executive member of the IEEE Ro-Man Standing Steering Committee. Awards include the 2017 Spirit of Heriot-Watt Award (Outward Looking). Her work bridges robotics with neuroscience, aiming to advance assistive technologies and ethical robotic systems.

• Augmented Reality
• Computer Vision
• Virtual Reality
• +۳ مورد دیگر

Gudrun Klinker is a Professor at the Technical University of Munich, Germany, specializing in Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR). Her research focuses on computer graphics, human-computer interaction, and the application of these technologies in education, cultural heritage, and industrial scenarios. She has contributed significantly to advancements in AR/VR systems, including real-time tracking, collaborative frameworks, and immersive simulations. Her work spans theoretical and applied research, with notable contributions to SLAM systems, cloud-based AR platforms, and neuro-robotics. She has been recognized with the VGTC Lifetime Achievement Award (2022) for her sustained impact in visualization and computer graphics. Dr. Klinker collaborates extensively with academic and industrial partners, publishing in top-tier journals like IEEE Transactions on Visualization and Computer Graphics and conferences such as ISMAR and VR. Her research emphasizes interdisciplinary applications, including gamified urban planning tools (e.g., Game.UP), underwater archaeology exploration via VR, and language-learning AR systems. She actively participates in the VR/AR community, serving on program committees and editorial boards. Her team’s work often bridges theoretical innovation with practical implementations, addressing challenges in device adaptability, real-time systems, and ethical considerations in neurorobotics.

Joschka Bödeckerمشاهده پروفایل

استاد

• Machine Learning
• Robotics
• Neurotechnology
• +۳ مورد دیگر

Prof. Joschka Bödecker is a Professor at the University of Freiburg's Department of Computer Science, leading the Neurorobotics Lab. His research focuses on developing data-efficient deep reinforcement learning methods for robotics and neurotechnology applications. The lab is part of the Cluster of Excellence BrainLinks-BrainTools, emphasizing interdisciplinary collaboration. Institution: Albert-Ludwigs-University of Freiburg Location: Georges-Köhler-Allee 201, Freiburg im Breisgau Research interests include machine learning techniques tailored for real-world robotic systems, with a focus on robust and adaptive solutions. Teaching activities include courses on reinforcement learning, probabilistic graphical models, and machine learning in health, as seen in recent semesters (e.g., SS2025, WS2024/25). No scientific awards or specific grants are mentioned in the provided texts. The Neurorobotics Lab hosts ongoing projects and student collaborations, though specific student names are not listed here.

Patricia Shawمشاهده پروفایل

مدرس ارشد

• Robotics
• Developmental Robotics
• Cognitive Developmental Systems
• +۱۲ مورد دیگر

Patricia Shaw is a Senior Lecturer in the Department of Computer Science at Aberystwyth University. Her research lies at the intersection of robotics, cognitive science, and developmental psychology, with a focus on creating intelligent systems inspired by infant learning. She actively contributes to projects in human-robot interaction, assistive technologies, and developmental robotics. Her research interests include: Developmental and cognitive robotics Schema-based learning and hierarchical behavior modeling Human-robot interaction and assistive robotics Object recognition and multi-modal perception Autonomous navigation using environmental data Infant psychology-inspired AI Her recent publications demonstrate a strong trend in using humanoid robots to model infant cognitive development, developing smart assistive devices like wheelchairs and robotic companions, and advancing perception and navigation in unconstrained environments. These works span journals such as IEEE Transactions on Cognitive and Developmental Systems and conference proceedings from TAROS and UKRAS. Her scientific awards include: EPSRC Photo Competition 2014 EPSRC Photo Competition 2015 EPSRC Photo Competition 2016 She has supervised multiple PhD students including Tobi Alagbe, Cloud Coppola, Sam Heron, and Nikola Nikolov, and has been involved in externally funded research grants from the EPSRC and the Royal Society. She has also led projects on robotic assistive living and smart home technologies. Her leadership extends to managing research infrastructure such as the iCub humanoid robot and the Smart Home Facility. She is actively involved in research labs and teams including: iCub Humanoid Robot research group Smart Home Facility team Aberystwyth Robotics Lab Human-Robot Interaction research group Developmental Robotics Lab Assistive Technology Research Group

• Neuroscience
• Mild Cognitive Impairment
• Electrocardiogram
• +۳ مورد دیگر

Ville Mäntynen is a Visiting Professor at the Department of Neuroscience and Biomedical Engineering at Aalto University. His research spans interdisciplinary domains including neuroscience, cardiology, and biomedical signal processing, focusing on advanced non-invasive imaging techniques like magnetoencephalography (MEG) and magnetocardiography (MCG). Research Interests : Neuroscience, Mild Cognitive Impairment, Atrial Fibrillation, Magnetic Field Analysis, Electrocardiogram (ECG), Cardiac Dysrhythmia. Activities : Organized the AI-Mind clinical study (2024), presented at Biomag 2012 (International Conference on Biomagnetism), and contributed to MEG Nord collaborative events (2023). His work integrates computational modeling with clinical applications, particularly in mapping brain and cardiac activity using magnetic fields. Key projects include AI-driven dementia risk estimation and characterization of ECG/MCG sensitivity in realistic anatomical models. Scientific contributions include 17 publications, cited 128 times (Scopus), with a focus on: Machine learning for brain connectivity analysis Cardiac arrhythmia characterization via magnetic fields Biomedical signal processing algorithms He has collaborated internationally, including visiting researcher positions at foreign institutions in 2002 and chairing conferences in 2023.

• Robotics
• IoT Security
• Brain-Computer Interfaces
• +۳ مورد دیگر

Dr. Usman Ghafoor is a researcher specializing in robotics, IoT security, and neuroengineering. His work bridges machine learning with biomedical systems, focusing on brain-computer interfaces (BCIs), neuromodulation, and robotic control mechanisms. Key Research Areas: Robotics, IoT Malware Detection, Hybrid EEG-fNIRS Systems, Deep Learning Applications His recent publications highlight interdisciplinary approaches to multibody robot control, neurorehabilitation, and real-time BCI optimization. Collaborative work with experts like Keum-Shik Hong demonstrates his integration into cutting-edge neuroscience and robotics projects. While specific institutional affiliations are not detailed in the provided text, his contributions to journals such as Robotics , Scientific Reports , and Frontiers in Neurorobotics indicate significant academic engagement.

Timo Saarinenمشاهده پروفایل

استاد مهمان

• Neuroscience
• Speech Perception
• Working Memory
• +۹ مورد دیگر

Timo Saarinen is a Visiting Professor at Aalto University's Department of Neuroscience and Biomedical Engineering since 2003. His research bridges neuroscience and biomedical engineering, focusing on cortical dynamics, speech perception, and cognitive-motor integration. Education: Master of Psychology (University of Helsinki, 2015) Research Interests Speech rhythm and cortical entrainment Magnetoencephalography (MEG) applications Brain network connectivity in cognitive tasks Motor cortex dynamics in speech and handwriting Recent publications emphasize AI-driven dementia risk estimation, neural synchrony in naturalistic speech, and motor control mechanisms. His earlier work (2000s) explored IT investment consistency and e-commerce business models. 2015 Scientific Award He has collaborated internationally, with affiliations in Finland, Spain, and Belgium, and contributed to 12 peer-reviewed publications since 2003.

Alin Marian Drimusمشاهده پروفایل

دانشیار

• Robotics
• Tactile Sensing
• Biomimetics
• +۷ مورد دیگر

Alin Marian Drimus is an Associate Professor at SDU Mechatronics (CIM), Institute of Mechanical and Electrical Engineering, University of Southern Denmark. His research focuses on robotics, tactile sensing, biomimetics, and fault diagnosis in rotating machinery, with applications in industrial and legged robotic systems. Research Trends : Integrates tactile sensors and machine learning for object recognition, terrain classification, and predictive maintenance in robotics. Key Collaborations : Works with interdisciplinary teams across neuroscience, mechanical engineering, and computer science. Teaching : Co-teaches courses on electronic development processes.

Joschka Boedeckerمشاهده پروفایل

استاد

• Neurorobotics
• Artificial Intelligence
• Robotics
• +۳ مورد دیگر

Prof. Dr. Joschka Boedecker serves as a Professor at the University of Freiburg's Institute of Computer Science, leading the Neurorobotics Lab (Georges-Koehler-Allee 201) and holding an affiliation with the Freiburg Institute for Advanced Studies (FRIAS). His institutional presence spans both the Department of Computer Science and interdisciplinary AI initiatives. His research centers on neurorobotics and cognitive robotics , exploring neural-inspired control systems for autonomous robots. Key focus areas include machine learning integration in robotic perception, adaptive behavior modeling , and responsible AI development —evidenced by his association with FRIAS's responsible AI initiative (@responsibleAI1). This work bridges computational neuroscience and embodied intelligence to create context-aware robotic systems. Boedecker directs the Neurorobotics Lab, which investigates biologically plausible learning architectures for real-world robotic applications. The lab emphasizes ethical AI deployment through collaboration with FRIAS's interdisciplinary research framework.

• Machine Learning
• Artificial Intelligence
• Data Analytics
• +۹ مورد دیگر

Dr. Mukesh Prasad is an Associate Professor at the School of Computer Science , University of Technology Sydney (UTS). With expertise in Machine Learning , Artificial Intelligence , and Computer Vision , his research addresses applications in healthcare, biomedical science, and smart infrastructure. He holds a Ph.D. in Computer Science from National Chiao Tung University, Taiwan, and an M.S. in Computer and Systems Sciences from Jawaharlal Nehru University, India. Key research areas: Machine Learning, AI, Brain-Computer Interfaces, IoT, and Evolutionary Computation Industry experience: Principal Engineer at TSMC (2016-2017), Postdoctoral Researcher at National Chiao Tung University Dr. Prasad has secured competitive grants for AI applications in disaster response, conversational agents, and medical diagnostics. His work has been published in high-impact venues like IEEE , ACM Transactions , and Springer Nature , with over 200 peer-reviewed papers. He serves on editorial boards for journals including Frontiers in Neurorobotics and ACM Computing Surveys . Scientific Awards: Vice Chancellor Teaching and Learning Citation Award (2019) Alumni Fellowship for Ph.D. (2014) Golden Bamboo NCTU Fellowship (2010) Professional Members: IEEE (2011), ACM (2019)