جست‌وجوی استاد و پژوهشگر

Metin Sittiمشاهده پروفایل

استاد

• Medical Microrobotics
• Bio-inspired Robotics
• Physical Intelligence
• +۷ مورد دیگر

Prof. Dr. Metin Sitti is a leading academic and researcher currently serving as Director at the Max Planck Institute for Intelligent Systems and affiliated faculty at Carnegie Mellon University's Robotics Institute and Koç University's Schools of Medicine and Engineering. His interdisciplinary work bridges robotics, materials science, and biomedicine. His research interests center on medical microrobotics , bio-inspired robotics , and physical intelligence , exploring how intelligent behaviors can emerge from material properties and system design. He leads the Physical Intelligence Research Group , pioneering novel approaches in soft and micro-robotic systems. The scientific publications attributed to Prof. Sitti span diverse areas including micro-robotic locomotion, stimuli-responsive materials, and collective behavior in synthetic systems. Though specific titles are not listed, his body of work consistently contributes to robotics, nanotechnology, and biomedical engineering. Rahmi M. Koç Science Award ERC Advanced Grant IEEE Fellow National Science Foundation CAREER Award SPIE Nanoengineering Pioneer Award IEEE/ASME Best Mechatronics Paper Award Robotics: Science and Systems Conference Best Paper Award IEEE/RSJ Intelligent Robot Systems Conference Best Paper and Video Awards IEEE Robotics and Automation Conference Best Paper and Video Awards IEEE Robotics and Biomimetics Conference Best Paper and Video Awards Prof. Sitti has secured major grants including the ERC Advanced Grant and NSF CAREER Award, supporting high-impact research in intelligent materials and robotic systems. He has mentored numerous researchers and students across institutions, though specific advisees are not listed. His entrepreneurial initiative led to the founding of nanoGriptech Inc. in 2009, commercializing gecko-inspired microfiber adhesives. He leads the Physical Intelligence Department at the Max Planck Institute, where his team develops novel robotic materials and microsystems that exhibit intelligence through physical design rather than computation alone.

Philipp Allgeuerمشاهده پروفایل

پژوهشگر

• Robotics
• Humanoid Robotics
• Bipedal Locomotion
• +۵ مورد دیگر

Dr. Philipp Allgeuer is a Postdoctoral Research Associate at the Knowledge Technology Research Group within the Department of Informatics at the University of Hamburg. His work focuses on humanoid robotics, bipedal locomotion, and sensor fusion. He holds a PhD from the Autonomous Intelligent Systems Group at the University of Bonn, alongside dual bachelor's degrees in Mechatronic Engineering and Mathematical/Computer Sciences (both with First-Class Honors). His research contributions include the development of the igus Humanoid Open Platform and the NimbRo-OP series of humanoid robots, recognized with awards like the RoboCup HARTING Open Source Award (2016) and the Best Humanoid Award (2018). He has authored influential papers on fused angles for robot balance, tilt phase space representations, and neuro-inspired control architectures. Allgeuer's teams have dominated RoboCup competitions, winning titles in AdultSize and TeenSize leagues multiple times. His open-source software frameworks (e.g., rot_conv_lib , attitude_estimator ) and hardware designs are widely used in robotics research. Recent work explores multimodal human-robot interaction and AI-driven robotic task coordination. He is affiliated with the Knowledge Technology Research Group and contributes to projects like the NICOL humanoid robot, bridging social interaction and reliable manipulation. His research spans from low-level control algorithms to high-level behavior planning systems.

Chao Liuمشاهده پروفایل

پژوهشگر

• Surgical Robotics
• Teleoperation
• Haptics
• +۲ مورد دیگر

Chao Liu is a Research Scientist at CNRS (French National Center for Scientific Research) since 2008, affiliated with the DEXTER team and the Department of Robotics, LIRMM at University of Montpellier, France. He earned his Ph.D. in Electrical & Electronic Engineering from Nanyang Technological University, Singapore (2006). Current research focuses on surgical robotics , haptics , teleoperation , and nonlinear control theory with applications in computer vision. His work addresses challenges in robotic-assisted telesurgery, including: Stable and transparent human-robot interaction through wave variable compensators and passivity filters Physiological motion compensation using spatio-temporal LSTM and dual Kalman filters EMG-based motion recognition for surgical skill assessment 3D soft-tissue reconstruction with stereo-endoscopes and deep learning Dr. Liu leads European and French projects like: TS2RT (CNRS-funded): Safer teleoperation with motion compensation ROBACUS (ANR-funded): Needle positioning with MPC control HaTUMoCo (CNRS-funded): Haptic teleoperation with uncertainty handling ARAKNES (EU-funded): Microrobotic systems for endoluminal surgery Scientific honors include Senior Member of IEEE and Member of Sigma Xi . He supervises Ph.D. and Master's students working on topics such as concentric tube robot optimization, haptic teleoperation, and EMG-based force estimation. Dr. Liu serves on IEEE Technical Committees for Telerobotics and Haptics , and as Technical Editor of IEEE/ASME Transactions on Mechatronics.

Isuru Godageمشاهده پروفایل

استادیار

• Soft Robotics
• Continuum Robotics
• Modular Robots
• +۴ مورد دیگر

Isuru Godage is an Assistant Professor in the Department of Engineering Technology & Industrial Distribution at Texas A&M University's College of Engineering. He holds affiliated faculty positions in Mechanical Engineering and Multidisciplinary Engineering. His work focuses on advanced robotics systems, particularly soft robots, continuum arms, and their applications in surgery and blockchain-based collaboration. He earned a B.Sc. (Hons) in Electronic and Telecommunication Engineering from the University of Moratuwa, Sri Lanka (2007), and a Ph.D. in Robotics, Cognition, and Interaction Technologies from the University of Genova – Italian Institute of Technology, Italy (2013). Research Interests: Soft robots and continuum robots Modular robotic systems MRI-compatible surgical robotics for intracerebral hemorrhage evacuation Motion planning and control of underactuated systems Blockchain-enabled trustless collaboration between humans and robots His publications emphasize dynamic control of soft robotic arms, kinematic modeling of continuum systems, and bio-inspired designs for medical and industrial applications. Recent work explores locomotion strategies for soft quadrupeds and snake-like robots, alongside innovations in decentralized robotic data frameworks. Dr. Godage has secured grants such as the NSF CAREER Award (2021) focused on transformable soft robots and collaborative projects with the National Robotics Initiative (NRI). His research bridges robotics mechanics, control theory, and emerging technologies like blockchain for swarm robotics.

Ralf Beckمشاهده پروفایل

استاد

• Control Engineering
• Automation Technology
• Regulation Systems
• +۵ مورد دیگر

Prof. Dr.-Ing. Ralf Beck serves as Professor for Control and Regulation Technology and Automation Technology at Hochschule Düsseldorf University of Applied Sciences within the Faculty of Electrical Engineering & Information Technology. His academic responsibilities span multiple degree programs including BEng Electrical Engineering, BEng Industrial Engineering, and MSc Electrical Engineering and Information Technology. His educational background includes Mechanical Engineering studies at TU Braunschweig (1998-2004), followed by doctoral research at RWTH Aachen's Institute of Control Engineering where he earned his Dr.-Ing. in 2010 with a dissertation on predictive energy management for hybrid vehicles. Prior to his current professorship, he held progressive roles at FEV Europe GmbH from 2009-2018, culminating as Senior Project Manager for Vehicle and Powertrain Electronics. Beck's research focuses on control engineering systems with particular emphasis on automation technology, regulation systems, and model-based development approaches. His work bridges theoretical control methodologies with practical automotive applications, especially in hybrid vehicle energy management, multi-robot systems, and intelligent air path control. The Modellfabrik Fab21 serves as his primary experimental platform for model-based development applications. His publication record since 2005 demonstrates consistent contributions to control engineering, particularly in hybrid vehicle systems, emission control optimization, and calibration methodologies. Recent work shows increasing focus on distributed robotics and intelligent transportation systems, reflecting evolving research directions while maintaining core expertise in control theory applications. As an educator, Beck teaches foundational and advanced courses including Electrical Engineering III, Control and Regulation Technology, Model-Based Development, Technical Mechanics, and Advanced Control Engineering at the Master's level. His teaching integrates theoretical concepts with practical laboratory applications through the university's Moodle platform, emphasizing hands-on implementation of control algorithms and system modeling techniques.

Mark D Grossمشاهده پروفایل

استاد

• Modular Robotics
• Tangible Interaction Design
• Digital Fabrication
• +۶ مورد دیگر

Mark D. Gross is a Professor of Computer Science and Director of the ATLAS Institute at the University of Colorado Boulder. His research focuses on modular robotics, tangible interaction design, digital fabrication, and computational design. He co-founded Modular Robotics and Blank Slate Systems, leveraging his expertise in educational technology and maker culture. Education: PhD in Design Theory & Methods from MIT. Academic history includes roles at Carnegie Mellon University and University of Washington Seattle. His work spans architecture, robotics, and human-computer interaction. Research Interests: Modular robotics and computationally enhanced construction kits Tangible interaction and e-textiles Shape-changing interfaces and swarm robotics Sketch-based interaction and digital fabrication Publications highlight advancements in collaborative AR systems, shape-changing interfaces (e.g., LiftTiles, ShapeBots), and accessible technologies like FluxMarker. His work bridges computational tools and creative design processes. Advising: Guided students such as Ryo Suzuki (PhD '20). Entrepreneurial ventures include companies spun off from research. Labs/Teams: Leads projects at the ATLAS Institute, emphasizing interdisciplinary collaboration in robotics, design, and human-centered computing.

• Structural Control and Health Monitoring
• Continuum Mechanics and Mechanics of Materials
• Structural Mechanics
• +۳ مورد دیگر

Hans Irschik is a Full Professor and Head of the Institute of Technical Mechanics at Johannes Kepler University of Linz, Austria. He has held key academic roles, including Vice-Rector for Research (1995-2001) and Chair of the Senate (2009-2013) at JKU, and serves as Editor-in-Chief of Acta Mechanica . His work bridges structural mechanics, mechatronics, and control systems. Education: Studied Civil Engineering at Vienna University of Technology, earned Doctor of Technical Sciences (1981) and Habilitation in Mechanics (1986). Research interests include structural control, continuum mechanics, and smart materials. His contributions span theoretical developments and applied control strategies for aging structures. Recent articles focus on Lagrangian formulations, piezoelectric sensors, and beam theories, reflecting his expertise in mechanics and structural health monitoring. Scientific Awards & Memberships: Full Member, Austrian Academy of Sciences (since 2011) Honorary Doctorate, St. Petersburg Polytechnical University (2009) President, European Association of Structural Control and Health Monitoring (2008-2012) Fellow, Japanese Society for the Promotion of Science (2006) City of Vienna Award (1988) Kardinal Innitzer-Award (1988) Grants & Projects: Led Austrian Science Fund (FWF) research since 1993. Key researcher in the K2-Austrian Center of Competence in Mechatronics (since 2001). Participated in EUROMECH committees and European Science Foundation programs.

Vishesh Vikasمشاهده پروفایل

دانشیار

• Robotics
• Soft Robotics
• Tensegrity Robotics
• +۱۲ مورد دیگر

Vishesh Vikas is an Associate Professor in the Department of Mechanical Engineering at the University of Alabama, College of Engineering. He is based in the South Engineering Research Center (SERC) and leads the Agile Robotics Laboratory (ARL@UA), which focuses on bio-inspired, soft, and tensegrity robotics, as well as inertial sensing and estimation. Education: PhD, Mechanical Engineering, University of Florida, 2011 MS, Mechanical Engineering, 2008 B.Tech., IIT Guwahati, 2005 His research spans autonomous systems, wearable technologies, biomedical devices, guidance and control, intelligent systems, space robotics, and engineering education . The lab’s work integrates mechanical design, sensing, and advanced control to create agile, adaptive robotic systems for unstructured environments. The recent publications highlight a strong trend in soft and tensegrity robotics , with focus on gait synthesis, locomotion planning, shape and joint estimation, and dexterous manipulation. These works combine modeling, data-driven control, and sensor fusion, often using accelerometers, IMUs, and vision for real-time feedback. The research is published in top robotics venues such as IEEE TRO, RA-L, and ASME journals. Scientific Awards: No awards explicitly mentioned in the text. Vishesh Vikas actively advises graduate students, including PhD and Master’s candidates, and has successfully guided several to thesis and dissertation completion. His lab is affiliated with multiple research centers including the Alabama Center for the Advancement of AI, Center for Advanced Manufacturing, and Center for Advanced Public Safety. He is involved in outreach and education, including mechatronics workshops and seminar hosting. Current projects include exosuits for spine support and robotic systems for mobility in extreme environments. Laboratory and Team: The Agile Robotics Lab (ARL@UA) fosters interdisciplinary research in nature-inspired robotics, combining principles from biology, mechanics, and control. The team has hosted eminent scholars and is featured in university and college news for its innovative work on wearable robotics and soft manipulators.

• Artificial Intelligence
• Human-Computer Interaction
• Computer Vision
• +۴ مورد دیگر

Prof. Dr. Julius Schöning is a Professor at the Faculty of Engineering and Computer Science , Osnabrück University of Applied Sciences. His research focuses on Artificial Intelligence , Human-Computer Interaction , and Computer Vision within agricultural contexts. 2019–Present: Professor, Hochschule Osnabrück 2018–2019: System Architect, ZF Friedrichshafen AG 2014–2018: Researcher, University of Osnabrück 2009–2013: Project Lead/System Engineer, CLAAS Harsewinkel Education: M.Sc. in Intelligent Embedded Microsystems (Freiburg), B.Eng. in Mechatronics (DHBW Stuttgart) His research spans smart agriculture , quantum NLP , and explainable AI systems , with recent work on vibrotactile warning systems, AI compliance frameworks, and hybrid dataset applications in farming. Publications emphasize interdisciplinary approaches bridging technology and agricultural practice . Scientific honors include: DAAD Stipendium for conference participation Best Paper Award (2018) IEEE GHTC Student Paper Contest Winner (2016) Sonderpreis für gute Lehre (2017) Finalist/Falling Walls Lab (2015)

Xiaofeng Liuمشاهده پروفایل

استادیار

• Artificial Intelligence
• Deep Learning
• Medical Imaging
• +۵ مورد دیگر

Xiaofeng Liu is an Assistant Professor at Yale University School of Medicine in the Departments of Radiology & Biomedical Imaging and Biomedical Informatics & Data Science. He is also an Associate Member at the Broad Institute of MIT and Harvard. Previously, he held faculty positions at Harvard Medical School and research roles at Massachusetts General Hospital and Beth Israel Deaconess Medical Center. PhD in Mechatronics from University of Chinese Academy of Sciences Dual Bachelor's degrees in Automation (Wang-Daheng Elite Class) and Communication from University of Science and Technology of China His research integrates trustworthy AI, medical imaging, and data science to improve diagnosis, prognosis, and treatment monitoring for neurological disorders, cancer, and cardiovascular diseases. Key focus areas include domain adaptation techniques, diffusion models, and interpretable AI systems. Led special issues in IEEE Transactions on Pattern Analysis and Medical Image Analysis Developed novel frameworks like Ordinal UDA and Memory-Consistent Adaptation Scientific accolades include the Trailblazer R21 Award (NIBIB), OpenAI Research Award, and National Artificial Intelligence Research Resource Pilot Award. He serves as Associate Editor for IEEE Transactions on Neural Networks and Learning Systems and actively contributes to MICCAI and NIH review panels. His lab at Yale (XLiu Lab) investigates neural basis of intelligence to inspire AI development, with applications in brain tumor segmentation, cardiac imaging, and cross-modal medical diagnostics.

Nathan van de Wouwمشاهده پروفایل

استاد

• Dynamics and Control
• Mechatronics and Robotics
• Smart Manufacturing
• +۶ مورد دیگر

Nathan van de Wouw is a Full Professor at the Mechanical Engineering Department of Eindhoven University of Technology (TU/e), affiliated with ICMS, EAISI Mobility, EAISI High Tech Systems, EAISI Foundational, and EIRES. He also holds an adjunct Full Professor position at the University of Minnesota and a part-time Full Professorship at Delft University of Technology. His research focuses on dynamics and control of mechanical systems, including mechatronics, robotics, smart manufacturing, energy systems, and networked control. He has supervised over 150 students and led numerous projects funded by industry partners like ASML, Philips, and Shell. Education: M.Sc. (with Honors) in Mechanical Engineering, TU/e (1994) Ph.D. in Mechanical Engineering, TU/e (1999) Research Interests: Nonlinear systems and control Model reduction and complexity analysis Data-driven and networked control strategies Applications in high-tech systems, autonomous vehicles, and energy systems Awards: IEEE Control Systems Technology Award (2015) for variable-gain control in motion systems Grants & Projects: Lead projects on mechatronic design, lithography systems, and thermodynamic optimization Collaborations with TNO, ASML, and industrial partners Labs & Teams: Member of TU/e’s Dynamics and Control group Affiliated with EAISI (Eindhoven AI Systems Institute)

Carolyn Sparreyمشاهده پروفایل

دانشیار

• Biomechanics
• Injury Biomechanics
• Computational models of injury
• +۴ مورد دیگر

Carolyn Sparrey is an Associate Professor and Graduate Student Supervisor in the School of Mechatronic Systems Engineering at Simon Fraser University (SFU). She leads the Neurospine Biomechanics Laboratory, focusing on injury prevention and management through biomechanical research. Her work bridges engineering principles with clinical applications, collaborating with Vancouver General Hospital and accident reconstruction experts. Dr. Sparrey holds a Ph.D. in Mechanical Engineering (UC Berkeley, 2008), M.A.Sc. (UBC, 2004), and B.A.Sc. (University of Waterloo, 2001). Her research emphasizes spinal cord injury mechanics, tissue material characterization, and patient-specific modeling. She teaches courses like MSE 420 (Biomechanical Engineering) and MSE 222 (Kinematics and Dynamics). Her lab’s current projects include mechanical characterization of neurological tissues, thermodynamic modeling of spinal cord injury treatments, and injury prevention device design. Funding opportunities are available for exceptional graduate students through NSERC and CIHR awards. Undergraduate and co-op students can engage in projects aimed at publishing or presenting results. Dr. Sparrey actively promotes interdisciplinary collaboration, with a focus on translating engineering solutions into clinical practice. Her teaching philosophy prioritizes preparing students for industry, research, and societal contributions through innovative curricula.

Taskin Padirمشاهده پروفایل

استاد

• Experiential Robotics
• Human-Robot Teaming
• Embodied Artificial Intelligence
• +۴ مورد دیگر

Taskin Padir is a Professor in the Department of Electrical and Computer Engineering at Northeastern University and concurrently serves as an Amazon Scholar. He holds a PhD and MS from Purdue University and a BS from Middle East Technical University. His research focuses on experiential robotics, human-robot teaming, and embodied AI, with leadership roles in the Robotics and Intelligent Vehicles Research Laboratory (RIVeR Lab) and the Institute for Experiential Robotics. Padir has led projects for DARPA, NASA, and industry partners, advancing autonomous systems for extreme environments and human-robot collaboration. Education: PhD, Electrical and Computer Engineering, Purdue University (2004) MS, Electrical and Computer Engineering, Purdue University (1997) BS, Electrical and Electronic Engineering, Middle East Technical University (1993) Research Interests: Shared autonomy and human-in-the-loop robotics Embodied artificial intelligence Human-robot teaming in extreme environments (e.g., space, disaster zones) Collaborative robotics for industrial applications His work bridges robotics, AI, and real-world challenges, with recent projects addressing seafood processing automation, robotic navigation in unstructured terrains, and spectroscopy-based environmental monitoring. Awards: Recipient of the 2024 Faculty Research Team Award, 2023 Impact Award, and 2022 Amazon Scholar distinction. His research has been funded by NSF, DARPA, NASA, and industry collaborators like Amazon Robotics and Intel. Labs: Director of the RIVeR Lab and Institute for Experiential Robotics, fostering interdisciplinary research in autonomous systems and intelligent vehicles. Current projects include CRISP (Co-worker Robots for Seafood Processing) and PROSPECT (robotic spectroscopy tools).

Christopher Mortonمشاهده پروفایل

دانشیار

• Fluid-Structure Interaction
• UAV Technology Development
• Energy Engineering
• +۷ مورد دیگر

Dr. Christopher Morton is an Associate Professor in the Department of Mechanical Engineering at McMaster University, specializing in fluid-structure interaction, UAV technology, and energy systems. His research focuses on aerodynamics, flow control, and sustainable energy solutions, with applications in aerospace and environmental engineering. Education background includes a BASc in Mechatronics Engineering (University of Waterloo, 2008), MASc (2010), and Ph.D. (2014) in Mechanical Engineering from the same institution. His work bridges experimental and computational methods, particularly in flow estimation and control using advanced diagnostics like PIV and spectral analysis. His research interests span vortex-induced vibrations (VIV), unsteady aerodynamics, and energy harvesting through fluid-structure interactions. Recent publications highlight innovations in flow field reconstruction, sensor-based monitoring, and turbulence control. His work has been recognized through awards such as the Departmental Research Excellence Award (2021-2022) and multiple teaching accolades, reflecting his dedication to both research and education. Dr. Morton currently teaches MECH ENG 4FM3 (Advanced Instrumentation for Thermo-Fluids) and MECH ENG 723 (Flow Induced Vibrations), emphasizing hands-on experimental techniques and theoretical analysis. He actively supervises graduate students and collaborates with industry partners like Atlantis Research Labs and Plains Midstream Canada. Key Research Clusters: Advanced Materials & Manufacturing, Digital & Smart Systems, Energy, and Environment. Teaching Excellence: Awarded “Professor of the Year” multiple times and recognized for outstanding teaching performance.

• Control and Systems Engineering
• Automotive Engineering
• Model Predictive Control
• +۱۰ مورد دیگر

Massimo Canale is a Tenured Associate Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino , and a member of the CARS@PoliTO Interdepartmental Center for Automotive Research and Sustainable Mobility. His academic career spans over two decades, focusing on control systems engineering with applications in automotive technology. Scientific Branch: Systems and Control Engineering (IINF-04/A) ERC Sectors: Automotive Engineering, Control Engineering, Control Theory Dr. Canale's research bridges theoretical advancements in Model Predictive Control (MPC) with practical applications in autonomous vehicles , hybrid/electric propulsion , and active suspension systems . His work integrates reinforcement learning and dynamic programming for optimizing vehicle performance and energy efficiency. Recent publications demonstrate trends in autonomous driving architectures (2024), sliding mode control for highway scenarios (2024), and energy management for sustainable mobility (2023-2024). He has developed patented solutions for semi-active suspension control and autonomous vehicle guidance. Award: IEEE Transactions on Control Systems Technology Outstanding Paper Award (2011) Editorial Roles: Associate Editor, IEEE Open Journal of Control Systems (2022–present) Dr. Canale supervises PhD students like Francesco Cerrito and teaches courses on digital control technologies , automatic control , and reinforcement learning at Politecnico di Torino. His research is funded through competitive grants (e.g., MPC4AVP 2021-2022) and commercial contracts (AD Shuttle 2024).