جست‌وجوی استاد و پژوهشگر

Andry Maykol Pintoمشاهده پروفایل

استادیار

• Robotics
• Autonomous Vehicles
• Machine Learning
• +۵ مورد دیگر

Andry Maykol Pinto is a Senior Researcher at the Center for Robotics and Autonomous Systems at INESC TEC and an Assistant Professor at the Faculty of Engineering of the University of Porto. He earned a Ph.D. (2014) and M.Sc. (2010) in Electrical and Computer Engineering from the University of Porto, focusing on Robotics. Research Interests: His work spans Robotics, Autonomous Vehicles, Machine Learning, Underwater Imaging, 3D Reconstruction, and Marine Robotics. He develops advanced perception systems for UAVs and AUVs, focusing on multimodal data fusion, visual transformers, and reinforcement learning to address navigation and reconstruction challenges in offshore and underwater environments. Supervised Theses (2023): Eduardo Jorge Pereira Gonçalves: Deep learning for visual odometry in ASVs Daniel Filipe Barros Campos: Multi-domain awareness for offshore wind farm inspection João Afonso Borges Carvalho: AI for marine growth classification Francisco Soares Pinto da Silva Neves: RL-based UAV inspection of windmills João Basto do Rosário: Ego motion analysis from video data Gabriel da Silva Martins Loureiro: Edge intelligence for seafloor perception João Francisco Sengo Guimarães: Machine vision for deep-space images Maria Inês Rodrigues Pereira: Multi-agent RL for maritime perception João Rodrigues Mina: Quality assessment for underwater imaging Rafael Marques Claro: Robust UAV landing perception Contact: andry.m.pinto@inesctec.pt | +351228340554

• Robotics
• Artificial Intelligence
• Reinforcement Learning
• +۵ مورد دیگر

Abdeslam Boularias is an Associate Professor in the Department of Computer Science at Rutgers, The State University of New Jersey. His research focuses on robotics, artificial intelligence, and reinforcement learning, with a strong emphasis on robotic manipulation, model-based control, and perception in cluttered environments. He leads research groups in Artificial Intelligence, Intelligent Systems, and Robotics. Key contributions include advancing techniques for dynamic object tracking, sensorimotor learning in unstructured settings, and integrating physics-based reasoning with deep learning. His work has been recognized with prestigious grants such as the NSF CAREER Award and collaborative grants with institutions like Yale University. Grants: NSF NRI Grant (2022), NSF SA&S Grant (2021), NSF CAREER Award (2024) Research Themes: Robotics in clutter, reinforcement learning for manipulation, physics-aware perception, and end-to-end systems for autonomous robots His recent publications emphasize scalable manipulation learning, one-shot imitation, and diffusion models for affordance prediction. He actively contributes to advancing robotic systems that operate reliably in complex real-world scenarios.

Dimitrios Papageorgiouمشاهده پروفایل

استادیار

• Robotic Control Systems
• Physical Human-Robot Interaction
• Robot Learning
• +۳ مورد دیگر

Dimitrios Papageorgiou is an Assistant Professor specializing in control and automation systems with robotic applications at the Hellenic Mediterranean University. His research develops advanced control frameworks for human-robot collaboration, motion learning, and adaptive manipulation. Key innovations include variable admittance controllers for heavy payload manipulation, constraint-aware motion learning algorithms, and active perception systems for robotic skill transfer. Recent work advances bimanual agricultural manipulation and quadruped locomotion control on challenging terrains. His publication trends demonstrate consistent focus on physical human-robot interaction paradigms, particularly kinesthetic teaching methods and safety-aware collaborative systems. Research integrates hardware development with control theory for industrial and service robotics applications.

Michael Schmidمشاهده پروفایل

استاد

• Systems Neuroscience
• Visual System
• Neural Circuits
• +۴ مورد دیگر

Prof. Michael Schmid is the Chair in Systems Neuroscience at Newcastle University's Institute of Neuroscience, leading the Schmid Lab. Previously, he held the position of Emmy Noether Group Leader at the Ernst Strüngmann Institute (ESI) for Neuroscience in Frankfurt until 2017. His research focuses on neural circuit operations in the visual system, including thalamocortical interactions during attentive vision, rhythmic neuronal activity, and mechanisms of brain plasticity after injury. He also explores pre-clinical applications like optogenetics-based cortical prosthetics for blindness and visual processing alterations in developmental dyslexia. Key achievements include securing an ERC Starting Grant in 2015 and pioneering work on optogenetic targeting and neuroimaging in non-human primates. His lab employs advanced techniques such as optogenetics, electrophysiology, and fMRI to study spatial navigation, neural circuit dynamics, and sensory restoration. Notable publications span high-impact journals like Neuron , Nature , and Current Biology . Lab Members: Includes postdocs (e.g., Dr. Michael Ortiz-Rios, Dr. Samy Rima), PhD students (e.g., Beshoy Agayby, Tenri Prasakti Fanyiwi), and lab manager Dr. Marcus Haag. Alumni: Former students include Dr. Carsten Klein, Dr. Joscha Schmiedt, and Dr. Katharine Shapcott, among others. Grants: Active ERC Starting Grant supporting research on perceptual brain circuits. Research highlights include identifying functional thalamocortical pathways, elucidating beta oscillation dynamics post-lesion, and developing MRI-compatible implants for primate studies. Ongoing projects aim to map entorhinal-hippocampal circuits and improve neuroprosthetic strategies for vision restoration.

Georg von Wichertمشاهده پروفایل

پژوهشگر

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

Georg von Wichert is a Rudolf Diesel Industry Fellow at the Technical University of Munich (TUM) since 2009, affiliated with Siemens Corporate Technology. He holds a Diploma (M.Sc.) in electrical and control engineering from Darmstadt University of Technology (1992) and a Ph.D. in electrical engineering (1998). His research focuses on cognitive systems, including computer vision, robotics, and sensor fusion, with applications in autonomous systems and human-robot interaction. Affiliations: Siemens AG (Corporate Technology) & TUM Institute for Advanced Study (Focus Group: Cognitive Technology) Education: Darmstadt University of Technology (Diploma 1992, Ph.D. 1998) His work spans probabilistic modeling for multi-agent systems, semantic scene understanding, and robotic navigation. Notable contributions include table-top scene analysis, semantic indoor mapping, and robotic systems for everyday environments. He has led national and European research projects and contributed to initiatives like the Robotic Bar demonstration of human-robot collaboration. Scientific Awards: Rudolf Diesel Industry Fellowship (2009). Research Highlights: Developed algorithms for 6-DOF pose estimation, robotic exploration in dynamic environments, and context-aware robotic assistants. His publications address challenges in simultaneous segmentation, object recognition, and 3D localization using stereo vision.

Marshini Chettyمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Privacy
• Security
• +۳ مورد دیگر

Marshini Chetty is an Associate Professor in the Department of Computer Science at the University of Chicago, leading the Amyoli Internet Research (AIR) Lab. Her work focuses on Human-Computer Interaction (HCI), usable privacy and security, and ubiquitous computing, emphasizing technologies that empower users in managing internet privacy, security, and costs, particularly in resource-constrained settings. She has conducted impactful research on topics like content moderation policies, privacy-preserving tools, and educational technologies to enhance children's digital literacy. Her contributions have been recognized with prestigious awards such as the NSF CAREER Award and multiple Best Paper awards at CHI and CSCW. Chetty has secured significant funding from the National Science Foundation (including an NSF CAREER Award), National Security Agency, Facebook, and Google Faculty Research Awards. Her research has been featured in major media outlets including the New York Times, BBC, and WIRED. The AIR Lab's mission is to advance trustworthy and inclusive internet technologies through interdisciplinary approaches combining HCI, policy analysis, and ethical design. Awards & Honors: NSF CAREER Award (2021) CHI Best Paper Honorable Mention (2023, 2021, 2019) 10th Annual Privacy Papers for Policymakers Award (2019) SOUPS Distinguished Paper Award (2018) Grants & Funding: NSF Grants (including CAREER Award) National Security Agency Google Faculty Research Awards Her work on privacy and security challenges in K-12 schools, dark patterns in digital interfaces, and algorithmic effects on user behavior (e.g., Netflix autoplay) demonstrates her commitment to addressing real-world societal impacts of technology. Chetty collaborates closely with policymakers to translate research findings into actionable insights for regulatory frameworks.

Mihai ANDRIESمشاهده پروفایل

دانشیار

• Cognitive Robotics
• Ambient Systems
• Automated Functional Design
• +۳ مورد دیگر

Mihai ANDRIES is an Associate Professor in Computer Science (specializing in Artificial Intelligence and Robotics) at IMT Atlantique, Brest, France. He holds a PhD in Artificial Intelligence from the University of Lorraine (2015), an M.Sc. in Software and Data Engineering from the University of Strasbourg (2012), and a B.Sc. in Computer Science from the same institution (2010). His research focuses on cognitive robotics, ambient systems, and automated functional design, emphasizing human-centric technologies such as assistive robots and healthcare applications. He has held postdoctoral positions at Inria Nancy, Institute for Systems and Robotics (Lisbon), and Institute of Intelligent Systems and Robotics (Paris), with industry experience at PSA Peugeot Citroën and Dassault Systèmes. His work integrates artificial intelligence, robotics, and sensor systems to enhance quality-of-life solutions, including robotic rehabilitation assessment and dementia detection through speech analysis. Key projects include the DiscoBot (mental health chatbot), Veggie Breizh Bot (cooking assistance robot), and SUMMA-Sound (sound-based activity recognition). He has secured grants totaling over €1M for projects like HEAP sorting, RoboErgoSum (robotic consciousness), and Mementop (sound-based mental health diagnosis). His software contributions include tools for 3D model conversion (stl2sdf, binvox2sdf) and multi-robot simulators.

Pratap Tokekarمشاهده پروفایل

دانشیار

• Robotics
• Artificial Intelligence
• Machine Learning
• +۴ مورد دیگر

Pratap Tokekar is an Associate Professor in the Department of Computer Science at the University of Maryland, with appointments in UMIACS and Electrical and Computer Engineering. He leads the RAAS Lab and focuses on robotics, particularly algorithms for mobile robots in active sensing and environmental monitoring. His research spans AI, machine learning, and multi-robot systems. Education: Ph.D., Computer Science, University of Minnesota (2014); B.Tech., Electronics and Telecommunication, College of Engineering Pune (2008). Awards include the NSF CAREER Award (2020) and CISE Research Initiation Initiative Award (2016). Teaching highlights include courses on Decision-Making for Robotics, Artificial Intelligence, and Robot Motion Planning at both UMD and Virginia Tech. He advises six Ph.D. students and collaborates with the Maryland Robotics Center and Center for Machine Learning. Awards: NSF CAREER (2020), NSF CISE CRII (2016) Labs/Teams: RAAS Lab, Maryland Robotics Center Key Focus: Multi-robot coordination, active perception, and decision-making under uncertainty.

• Agricultural Robotics
• Computer Vision
• Machine Learning
• +۴ مورد دیگر

Gert Kootstra is an Associate Professor in Agricultural Biosystems Engineering at Wageningen University & Research. His research focuses on robotics, computer vision, and machine learning applied to agricultural challenges, including plant phenotyping, UAV path planning, and automated harvesting systems. He leads projects involving 3D plant reconstruction, multi-object tracking in greenhouses, and deep learning for agricultural automation. His work bridges theoretical advancements with practical applications in precision agriculture and autonomous agricultural systems. Education: Not explicitly stated in the text, but his academic rank implies advanced qualifications in agricultural engineering or robotics. Research Interests: Robotics, computer vision, deep learning, UAV-based monitoring, plant phenotyping, and autonomous systems for agriculture. His projects often involve collaboration with industry and other academic institutions to solve real-world agricultural challenges. Recent Trends in Articles: Recent publications emphasize 3D plant segmentation, UAV navigation, and machine learning for object tracking in complex environments. He explores adaptive path planning for drones, automated harvesting techniques using learning from demonstration, and frameworks for uncertainty-aware object assessment in uncontrolled settings. Advising & Grants: Supervises multiple PhD candidates (e.g., Yuan J., Cakaj H., Versmissen T.) in projects funded by grants related to plant phenotyping, UAV applications, and robotics. Collaborates on initiatives like the PicknPack project for automated food processing. Labs & Teams: Involved in robotics and agricultural technology groups at Wageningen, focusing on developing tools for precision agriculture and sustainable farming practices.

Yvan Petillotمشاهده پروفایل

استاد

• Marine Robotics
• Autonomous Systems
• Sensor Processing
• +۴ مورد دیگر

Yvan Petillot is a Professor of Robotics and Autonomous Systems at Heriot-Watt University, co-academic lead of the National Robotarium, and chair of Robotics at the Scottish Research Partnership in Engineering. His expertise spans marine robotics, autonomous systems, sensor fusion, and subsea domain control. He leads a £3M grant portfolio focused on marine robotics innovations, emphasizing multi-vehicle collaboration and AI-driven autonomy. Petillot co-founded SeeByte Ltd to translate academic research into commercial solutions and pioneered EU robotics competitions fostering talent. His research emphasizes underwater robotics, including navigation, perception, and intervention in hazardous environments. Notable achievements include developing advanced underwater imaging techniques, reinforcement learning platforms (e.g., MarineGym), and frameworks for digital twins in teleoperation. He has received the Royal Society Industry Fellowship (2013) and was part of the 2022 Research Team of the Year award. Key technical contributions include synthetic aperture sonar systems, underwater SLAM (Simultaneous Localization and Mapping), and control strategies for vehicle-manipulator systems. His work addresses challenges in autonomous exploration, environmental monitoring, and safe human-robot collaboration in marine and industrial settings.

Paul Nesbitمشاهده پروفایل

دانشیار

• Leadership Development
• Human Resource Management
• Organizational Behavior
• +۳ مورد دیگر

Paul Nesbit is an Associate Professor in the Department of Management at Macquarie University. His research focuses on leadership development, self-leadership strategies, cross-cultural management, and organizational behavior. He has conducted extensive studies on topics such as coercive citation practices in academia, consumer preferences for luxury goods, and the impact of self-efficacy on workplace performance. Nesbit has led or contributed to multiple research projects, including studies on leadership development programs and employee motivation. His work spans over two decades, with publications from 1997 to 2024, reflecting his sustained contributions to management and organizational studies. Education and Research Interests Nesbit's research interests include leadership theory, cross-cultural management practices, and the application of self-leadership models in diverse organizational contexts. He has explored topics such as HRM values in Chinese organizations, technology's role in workplace flexibility, and the effectiveness of leadership development interventions. Research Trends and Themes Nesbit's recent work addresses ethical challenges in academic publishing, consumer behavior in luxury markets, and the integration of self-leadership concepts across cultures. His earlier studies focused on employee engagement, turnover factors, and the impact of information technology on work arrangements. He has also examined the role of self-reflection and emotional management in leadership development. Grants and Projects Notable projects include "Self-development approaches used by Australian organizations in leadership and managerial development programs" (2014) "Increasing employee self-efficacy, motivation, sales, and customer service performance: A socio-psychological field experiment" (2007-2008) Labs/Teams No specific lab or team affiliations are mentioned in the provided text.

• Marketing
• Advertising
• Consumer Behavior
• +۵ مورد دیگر

Dr. Muhammad Rashid Saeed is a Lecturer in Marketing at the School of Business, University of Queensland. His research focuses on marketing strategies, consumer behavior, sustainability, and brand management. Key areas include construal level theory applications in advertising, pricing mechanisms, and corporate sustainability practices. His research spans theoretical frameworks (e.g., construal level theory) and practical applications like brand extensions, green marketing, and environmental performance. Recent work emphasizes systematic reviews of brand personality and advertising effectiveness, alongside strategic approaches to counterfeiting. No academic awards or grants are listed in the provided text. He advises no students in the current data. His work integrates interdisciplinary insights from psychology, economics, and environmental science.

• Disinformation
• Misinformation
• Deepfakes
• +۴ مورد دیگر

Michael Hameleers is an Assistant Professor in the Department of Political Communication & Journalism at the University of Amsterdam's Faculty of Social and Behavioural Sciences. His research focuses on disinformation, misinformation, deepfakes, media trust, populism, and experimental methodologies in communication science. His publications demonstrate a strong emphasis on political communication effects, with recent work examining: Epistemic polarization and factual relativism in democratic contexts Cross-national comparisons of misinformation perceptions Visual disinformation in geopolitical conflicts Psychological effects of populist blame attribution Generative AI's impact on fact-checking practices Through experimental and comparative designs, his research program investigates how information disorders affect public trust, political attitudes, and democratic resilience across diverse cultural contexts.

Petter Ögrenمشاهده پروفایل

استاد

• Modular Robot Control Architectures
• Multi-agent Systems
• Human-Robot Teaming
• +۳ مورد دیگر

Petter Ögren is a Professor at the Division of Robotics, Perception and Learning at KTH Royal Institute of Technology. He holds a M.S. in Engineering Physics and a Ph.D. in Applied Mathematics from KTH. Previously, he worked as a senior scientist and deputy research director at the Swedish Defence Research Agency (FOI). His research focuses on modular control systems, multi-agent systems, and human-robot teaming, emphasizing robustness, safety, and user-friendliness. Key contributions include the development of Behavior Trees as a modular control architecture. Education: - Ph.D. in Applied Mathematics (KTH, 2003) - M.S. in Engineering Physics (KTH, 1998) Research Interests : - Behavior Trees in Robotics and AI - Multi-agent coordination and formation control - Human-robot collaboration in complex tasks - Autonomous systems and decision-making under uncertainty Advising & Grants : - Supervised over 15 PhD students in projects funded by EU, Swedish Space Corporation, SSF, Vinnova, and WASP. - Key projects include CARMA, SMaRC, and TRADR. Labs/Teams : - Leads research in autonomous systems, mobile robotics, and human-robot interaction at KTH's Robotics Lab.

Olov Anderssonمشاهده پروفایل

استادیار

• Autonomous Systems
• Robotics
• Artificial Intelligence
• +۵ مورد دیگر

Olov Andersson is an Assistant Professor and WASP Fellow in AI for Autonomous Systems at KTH Royal Institute of Technology, leading the Division of Robotics, Perception and Learning. His research focuses on Embodied AI for autonomous robots and vehicles, combining advancements in Vision-Language Models (VLM), Large Language Models (LLM), and real-world navigation challenges. Key projects include the DARPA SubT Challenge-winning team CERBERUS and the EU H2020 Heron project for robotic road repair. He supervises multiple PhD students and postdocs, including Timon Homberger, Finn Lukas Busch, and Jesper Eriksson. Research interests emphasize full-stack autonomy in dynamic environments, including planning, mapping, and navigation. Notable contributions include the OneMap real-time open-vocabulary mapping system and self-supervised scene flow methods like Seflow. He has been recognized for technical leadership in autonomous systems through awards like the WASP Fellowship. Professional activities include co-chairing the 2024 IROS workshop on robot perception in dynamic environments and advising the Swedish Prime Minister’s AI initiative. Teaching roles span multiple graduate courses in machine learning, robotics, and systems engineering at KTH.