جست‌وجوی استاد و پژوهشگر

Damiano Zanottoمشاهده پروفایل

دانشیار

• Wearable Robotics
• Gait Analysis
• Rehabilitation Engineering
• +۴ مورد دیگر

Damiano Zanotto is an Associate Professor (with tenure) in the Department of Mechanical Engineering at Stevens Institute of Technology, within the Charles V. Schaefer, Jr. School of Engineering and Science. He directs the Wearable Robotic Systems Laboratory, focusing on wearable technology for rehabilitation, gait analysis, and injury prevention. His research integrates robotics, machine learning, and sensor systems to address mobility challenges in clinical and real-world settings. Education includes: Ph.D. in Mechatronics, University of Padua (Italy), 2011 M.S. in Mechanical Engineering, University of Padua (Italy), 2007 B.S. in Mechanical Engineering, University of Padua (Italy), 2005 His research explores three key areas: (1) Lower-extremity exoskeletons for locomotor assistance and rehabilitation, (2) Wearable sensors and ML models for gait disorder assessment and injury prevention, and (3) Cable-driven robots for suspended-load transportation. Work emphasizes real-world applicability, with projects funded by NIH, NSF, and DoD. Publications predominantly focus on gait analysis and rehabilitation robotics (2021-2024), leveraging machine learning for adaptive control and sensor validation. Trends include reinforcement learning for personalized training, instrumented insoles for ecological monitoring, and integrated robot-sensor systems for elderly mobility. Awards and honors include: NSF CAREER Award (2020) Outstanding Associate Editor, IEEE Robotics and Automation Letters (2023, 2024) Best Paper Award (2nd prize) at IEEE BioRob (2022) Columbia University Translational Fellowship (2015-16) He leads significant grants such as NIH R01 (2024) for digital biomarkers in neuromuscular disorders, NSF I-Corps (2023) for AI-enabled shoe insoles, and CDMRP projects (2022) for trauma recovery. The Wearable Robotic Systems Laboratory develops practical solutions like instrumented insoles and ankle exoskeletons, collaborating with clinical partners.

Yanlin Guoمشاهده پروفایل

دانشیار

• Structural Engineering
• Wind Hazards
• Structural Health Monitoring
• +۲ مورد دیگر

Yanlin Guo is an Associate Professor in the Department of Civil and Environmental Engineering at Colorado State University and Director of the Center for Sustainable and Intelligent Transportation Systems. Her research focuses on mitigating wind and compound hazards through structural health monitoring, physics-integrated simulations, and remote sensing technologies to enhance infrastructure resilience. Education: B.S. Civil Engineering, Southeast University (2007) M.S. Civil Engineering, Hong Kong Polytechnic University (2010) Ph.D. Civil Engineering, University of Notre Dame (2015) Her work integrates natural hazard engineering with data science to evaluate buildings, transportation, and energy infrastructure. Key innovations include real-time monitoring systems for emergency response and climate adaptation strategies for coastal communities. Recent publications focus on hurricane resilience, autonomous inspection systems, and AI-driven structural assessment. Trends show strong emphasis on machine learning applications in wind engineering and UAV-based monitoring technologies. Awards: NSF CAREER Award (2024) DOE RACER Grant (2023) NSF Wind Hazard Grant (2022) Best Paper Award, Journal of Structural Engineering (2020) Dr. Guo leads multiple DOE and NSF projects on solar tracker resilience and urban wind risks. She advises PhD students in structural monitoring and climate adaptation research, and directs a center developing sustainable transportation solutions. The Guo Research Group specializes in full-scale structural testing and collaborates with national labs on field deployments. Current work includes developing cloud-based risk assessment platforms for engineers.

• Particle Physics
• Optics
• Medical Engineering
• +۳ مورد دیگر

Silvano Donati is a Professor in the Department of Industrial and Information Engineering at the University of Pavia. His research spans interdisciplinary fields including particle physics instrumentation, optical sensors, and biomedical engineering. He contributes to major experiments like Mu2e (Fermilab) focusing on muon-to-electron conversion, and collaborates on projects involving self-mixing interferometry for precision measurements. His work also extends to biomedical applications, studying rare bone diseases and cellular mechanisms using in vitro models. Donati leads efforts in detector design for high-energy physics experiments and develops advanced sensor technologies for industrial and medical applications. Education details are not explicitly stated in the provided text. His academic roles include coordinating technical aspects of the Mu2e electromagnetic calorimeter, advancing LiDAR and vibration sensing systems, and investigating molecular pathways in bone disorders. Donati's research integrates computational modeling (e.g., FEM analysis of magnets) with experimental validation, emphasizing both theoretical and applied physics. His scientific contributions include innovations in silicon photomultiplier characterization, robotic systems for detector maintenance, and molecular studies on microRNA roles in osteogenesis. Donati's work bridges engineering disciplines with cutting-edge physics, reflected in his over 100 publications spanning particle detectors, optical systems, and biomedical diagnostics.

Stefanie Muellerمشاهده پروفایل

دانشیار

• Human-Computer Interaction (HCI)
• Computational Fabrication
• Robotics
• +۴ مورد دیگر

Stefanie Mueller is an **Associate Professor** in the Department of Electrical Engineering and Computer Science (EECS) at MIT, jointly appointed in Mechanical Engineering. She leads the **HCI Engineering Group** at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). Her research focuses on **computational fabrication** and **human-computer interaction**, developing novel fabrication techniques that integrate hardware, materials, and algorithms to enable new forms of interaction with physical objects. **Education**: PhD in Computer Science (summa cum laude) from the Hasso Plattner Institute, Germany (2011–2016). **Affiliations**: Member of MIT CSAIL, TIBCO Career Development Professor, and holds joint appointments in EECS and Mechanical Engineering. She teaches courses like 6.810 (Engineering Interactive Technologies), 6.08 (Interconnected Embedded Systems), and 6.100 (Introduction to Computer Science and Programming). **Research Interests**: Her work spans reprogrammable materials (e.g., Photo-Chromeleon), interactive fabrication tools (LaserFactory, FlexBoard), health sensing (EIT-kit, MuscleRehab), and educational technologies (InStitches, Fabricaide). Her lab emphasizes democratizing fabrication through accessible tools and methods. **Awards & Recognition**: Includes MIT Technology Review's 'Innovators Under 35' (2022), Microsoft Research Faculty Fellowship (2020), NSF CAREER Award (2019), and numerous best paper awards at CHI/UIST conferences. She is a Sloan Fellow and has received MIT's Outstanding Educator Award (2018). **Grants & Funding**: Over $3.8M in funding from NSF, MIT initiatives, and industry partners like Accenture. She leads projects on adaptive interfaces, fabrication-aware design, and educational maker tools. **Outreach & Service**: Co-organized Rising Stars in EECS workshops to support underrepresented genders in academia. Served as program chair for ACM CHI and UIST, steering committee member for Computational Fabrication conferences, and advocate for diversity in STEM.

Thomas Beckersمشاهده پروفایل

استادیار

• Control Systems
• Machine Learning
• Robotics
• +۶ مورد دیگر

Thomas Beckers is an Assistant Professor of Computer Science at Vanderbilt University's School of Engineering, joining in January 2023. He holds a Ph.D. in Electrical Engineering from the Technical University of Munich (2020), and B.Sc./M.Sc. degrees from Technical University of Braunschweig (2010/2013). His research bridges machine learning and control theory to develop safe, robust algorithms for complex systems like autonomous vehicles and soft robotics. He is a DAAD AInet Fellow and recipient of the Rhode & Schwarz Outstanding Dissertation Award. His work focuses on physics-enhanced learning and safe control strategies, leveraging Bayesian methods and port-Hamiltonian systems. Recent projects include developing uncertainty-aware control frameworks and Python tools like PyGpPHs for modeling physical systems. He advises students Peilun Li and Kaiyuan Tan, and has organized workshops at major conferences such as ACC and CDC. His lab explores topics ranging from PDE system identification to geometric control of aerial robots. Notable achievements include organizing large-scale workshops (e.g., 2023 CDC workshop with 80+ participants) and securing RAMP awards for data-driven control research. His publications emphasize safety, interpretability, and integration of physical priors into machine learning models.

• Control Systems
• Robotics
• Energy Systems
• +۵ مورد دیگر

Damiano Varagnolo is a Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU). His research focuses on control systems, robotics, energy systems, and data-driven methodologies. He has collaborated extensively on projects involving underwater vehicles, renewable energy optimization, and biomedical engineering applications. Key contributions include advancements in formation control algorithms for autonomous underwater vehicles (AUVs), adaptive control strategies for underactuated systems, and data synthesis techniques for tabular datasets. Varagnolo has published widely in top-tier journals such as IEEE Transactions on Control Systems Technology and IEEE Transactions on Power Systems. His work often integrates machine learning with classical control theory to address challenges in robotics, energy systems, and human-machine interaction. Notable projects include experimental validation of consensus protocols in networked systems and the development of energy expenditure estimation models for wheelchair users. He actively engages in educational initiatives, such as the 'Santa has Everything under Control' Advent calendar, aimed at demystifying control theory concepts for broader audiences. His interdisciplinary approach bridges mechanical engineering, computer science, and applied mathematics, with applications ranging from offshore wind energy optimization to autonomous navigation systems.

Minghui Zhengمشاهده پروفایل

دانشیار

• Human-robot collaboration
• Robotic motion planning
• Task allocation and sequence planning
• +۵ مورد دیگر

Minghui Zheng is an Associate Professor in Mechanical Engineering at Texas A&M University's College of Engineering. His research focuses on human-robot collaboration, robotic motion planning, and learning-based control systems for heterogeneous robots. He leads the Control and Robotics (CtrlRobot) Lab, which develops solutions for disassembly, recycling, and remanufacturing through advanced robotics and AI. Dr. Zheng holds a Ph.D. from UC Berkeley (2017), an M.S. from Beihang University (2011), and a B.S. from Beihang University (2008). His work integrates machine learning with robotics to address challenges in collaborative environments, including task allocation, real-time human motion prediction, and ergonomic improvements in e-waste handling. Key research directions include: Knowledge-informed motion planning for manipulators Uncertainty-aware human behavior modeling Cable-driven robotic hand design Connected vehicle systems for collaborative estimation He has received prestigious awards such as the NSF CAREER Award (2021) and the Exceptional Scholar: Young Investigator Award (2023). His lab develops platforms like VR Co-Lab for disassembly training and tools like SIMPNet for spatial-informed motion planning. Publications span robotics journals and conferences, emphasizing interdisciplinary solutions at the intersection of AI, control theory, and mechanical engineering. Current projects explore multi-task learning, diffusion models for motion prediction, and energy-efficient robotic systems.

Sriram Malladiمشاهده پروفایل

استادیار

• Vibration Control
• Meta-Structures
• Traveling Waves in Finite Structures
• +۳ مورد دیگر

Sriram Malladi is an Assistant Professor in the Department of Mechanical Engineering-Engineering Mechanics at Michigan Technological University. Previously, he served as Research Faculty at Virginia Polytechnic Institute and State University (Virginia Tech) from 2016 to 2019 and as Research Director at GAiTE LLC (June 2016–June 2017). He holds a Ph.D. (2016), M.S. (2013), and B.Tech. (2011) in Mechanical Engineering from Virginia Tech, Virginia Tech, and Indian Institute of Technology (ISM) Dhanbad, respectively. His research focuses on vibration control, meta-structures, traveling waves in finite structures, structural health monitoring, and smart materials. Notable achievements include developing self-sensing shape memory alloys and bio-inspired artificial hair cells. He has received awards such as the ASME Virginia Tech Memorial Scholarship (2014) and multiple best paper awards at ASME conferences. His work spans theoretical, computational, and experimental domains, with contributions to hydraulic systems, acoustic meta-structures, and energy-efficient heat sinks. His VITALS Group at Michigan Tech explores advanced vibration-based technologies for smart infrastructure and robotics.

Michael Yipمشاهده پروفایل

دانشیار

• Robotics
• Medical Robotics
• Surgical Robotics
• +۶ مورد دیگر

Michael Yip is an Associate Professor of Electrical and Computer Engineering at UC San Diego and Director of the Advanced Robotics and Controls Laboratory (ARCLab). He leads research in surgical robotics, biomimetic design, and robot learning. His work focuses on autonomous systems for medical applications, including robotic surgery and continuum robots. Dr. Yip holds affiliate faculty positions in Computer Science and Engineering, Mechanical and Aerospace Engineering, and the Contextual Robotics Institute. Education: Ph.D. in Bioengineering (Stanford University), M.Sc. in Electrical Engineering (University of British Columbia), B.Sc. in Mechatronics Engineering (University of Waterloo). Previous roles include visiting positions at Amazon Robotics and Disney Research. Research interests span surgical robotics, reinforcement learning, and robot manipulation in dynamic environments. His lab develops systems for minimally invasive surgery and medical interventions. Notable contributions include the CRANE tele-surgical system and the ARCSnake reconfigurable robot. Key awards include the NSF CAREER Award, NIH Trailblazer Award, and election to the National Academy of Inventors. He has authored over 150 peer-reviewed publications and co-founded multiple startups. His work bridges robotics, AI, and biomedical engineering, with applications in telesurgery and autonomous systems. Lab initiatives include the Medical Robotics Collaboratory and contributions to the US Congressional Robotics Roadmap. Teaching focuses on robotics control, reinforcement learning, and hands-on prototyping. Active service roles include editorial positions for IEEE Robotics and Automation Letters and leadership in robotics conferences.

Xiaonan Sean Huangمشاهده پروفایل

استادیار

• Soft Robotics
• Tensegrity Robots
• Soft Materials
• +۷ مورد دیگر

Xiaonan (Sean) Huang is an Assistant Professor in the Department of Robotics at the University of Michigan, leading the Hybrid Dynamic Robotics Lab (HDR Lab). His research focuses on the design, control, and modeling of autonomous soft robots, particularly those employing tensegrity architectures and novel soft materials. Key areas include soft actuators, sensors, wearable devices, and integration of advanced control algorithms with SLAM and learning techniques. He emphasizes multifunctional materials and systems capable of operating in challenging environments. His lab, the HDR Lab, aims to revolutionize soft robotics through innovations in hardware and software, including shape-morphing actuators, stiffness-tunable materials, and onboard intelligence. Research spans robotics mobility, anomaly detection in vision systems, and collaborative 3D reconstruction. Notable projects include impact-resistant tensegrity robots and benchmarking frameworks for robust perception systems. Publications highlight advancements in tensegrity robotics, sensor fusion, and AI-driven design. While no awards are explicitly listed, his work is recognized through collaborations and high-impact journals/conferences. Advising and grant details are not provided in the text. Sean Huang’s lab fosters interdisciplinary innovation at the intersection of robotics, materials science, and AI, with applications in search-and-rescue, healthcare, and autonomous systems.

Kinda Khalafمشاهده پروفایل

دانشیار

• Biomechanics
• Rehabilitation Engineering
• Biorobotics
• +۴ مورد دیگر

Dr. Kinda Khalaf serves as Associate Professor and Associate Dean of Undergraduate Studies at the College of Medicine and Health Sciences, Khalifa University of Science and Technology (KU) in Abu Dhabi. With a decade-long tenure at KU, she established and led the Department of Biomedical Engineering as its founding interim chair and associate chair, and spearheaded its accreditation. Prior academic appointments include faculty roles in Engineering and Medicine at the University of Miami, the American University of Beirut (where she held the first joint Engineering-Medicine appointment), and the American University of Sharjah. Education: Ph.D. in Engineering, The Ohio State University M.S. in Mechanical Engineering, The Ohio State University Her research program centers on human movement science, specifically neuromusculoskeletal biomechanics, computational modeling, and biorobotics. Key areas include spinal biomechanics, quantitative movement assessment for rehabilitation, and the development of wearable sensors and robotic devices. Current projects encompass an AI-driven multisensory platform for physiological and psychological assessment, a compliant cable-driven exoskeleton for lower limb rehabilitation, and haptic interfaces for remote ultrasound imaging. Her work bridges engineering and clinical practice through partnerships with UAE healthcare providers. Scientific Awards: LAMME Scholarship Woman of Engineering Award for outstanding Academic Achievement Presidential Fellowship Award University of Miami College of Engineering Teaching Award Khalifa University Faculty Excellence award Khalifa Innovation Center (KIC) Award (2022) Mohamad Bin Rashid AL Maktoum Innovation Award (2023) Dr. Khalaf mentors several PhD students including Rateb Katmah, Abdul Aziz Hulleck, Doua Kosaji, and Nour AlRahmani. She directs the Gait and Rehabilitation Labs and co-founded AL MASHYAH, a startup developing smart gait assessment technology. Her research is supported by multiple national and international grants from UAE entities including Specialized Rehabilitation Hospital, Cleveland Clinic Abu Dhabi, and Mubadala Healthcare. She leads the Rehabilitation arm of the Health Engineering Innovation Group (HEIG) and the Gait and Rehabilitation Labs at KU. Additionally, she serves on the Board of Trustees for Emirates College of Technology, Siemens Healthineers Innovation Think Tank, and the Abu Dhabi Council for Education review board. Her professional affiliations include IEEE EMBS UAE branch (founder and former chair), ASME, ASB, ASEE, BMES, and several honorary engineering societies.

• Ergonomics
• Exoskeletons
• Human-Machine Interaction
• +۶ مورد دیگر

Christina Harbauer is a Researcher at the Chair of Ergonomics at the Technical University of Munich. She focuses on production ergonomics, particularly the ergonomic development and evaluation of physical assistance systems and exoskeletons for industrial environments. Her work bridges biomechanics, robotics, and human-machine interaction. Education: Studied Mechatronics and Information Technology at TU Munich. Research Interests: Exoskeleton design, biomechanical modeling, soft robotics, industrial ergonomics, and human-centered automation systems. Her publications highlight trends in exoskeleton kinematics, force transfer optimization, and ergonomic evaluation of wearable technologies. She contributes to understanding how biomechanical modeling improves soft exoskeleton design and workplace safety. Harbauer collaborates with Klaus Bengler, Martin Fleischer, and other researchers in the field of ergonomics and robotics.

Juraj Benićمشاهده پروفایل

استادیار

• Control theory
• Fluid power systems
• Internet of Things (IoT)
• +۷ مورد دیگر

Assistant Professor Juraj Benić is a control engineer at the School of Applied Mathematics and Informatics, Josip Juraj Strossmayer University of Osijek, Croatia . His interdisciplinary work bridges control theory, fluid power systems, IoT, and data-driven maintenance , with applications ranging from forestry vehicles to unmanned aerial systems. Education PhD in Control Theory and Mechanical Engineering, 2022 – University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture MSc in Control Theory and Mechanical Engineering, 2017 – University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture BSc in Control Theory and Mechanical Engineering, 2015 – University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture Research Interests Prof. Benić’s core research areas include: Energy-efficient direct-driven hydraulic (DDH) systems for mobile machinery Hybrid-electric powertrains for forestry skidders and multirotor UAVs IoT-enabled predictive maintenance using convolutional neural networks and vibration analysis Fuzzy-logic and ontology-based controllers for electro-hydraulic systems Human-robot interaction and context-aware robotics Computational linguistics and digital corpora of Croatian dialects Publication Trends Since 2018 he has produced more than 25 peer-reviewed works. The 2023-2024 journal articles focus on hybrid UAV propulsion and comparative energy efficiency of hydraulic systems , while earlier works delve into fuzzy control ontologies , predictive maintenance via IIoT and fuel-saving hybrid skidders . Interspersed linguistic contributions showcase his versatility in digital dialectology. Scientific Awards & Recognition While explicit awards are not listed, he has delivered invited lectures (University of Maribor, 2021) and participated in study visits (South Kazakhstan State University, March 2024), indicating growing international recognition. Supervision & Collaboration He collaborates closely with colleagues from the University of Zagreb and University of Osijek, co-authoring with researchers such as D. Pavković, Ž. Šitum, M. Cipek, and D. Brezak. Student supervision is implied through experimental rigs and project descriptions, although specific advisee names are not provided. Laboratory & Field Infrastructure Research is supported by fully instrumented hydraulic test benches, a retrofitted deep-drilling rig, IoT accelerometer networks, and field-measurement campaigns on commercial skidders equipped with telematics (WIGO-E) for long-term fuel and energy-data logging.

Claudio V. Di Leoمشاهده پروفایل

استادیار

• Multiphysics Modeling
• Mechanics of Materials
• Energy Storage Systems
• +۳ مورد دیگر

Claudio V. Di Leo is an Assistant Professor at the Daniel Guggenheim School of Aerospace Engineering, Georgia Institute of Technology. He leads the Multiphysics Mechanics of Materials Lab (M3Lab), focusing on the coupling of chemical and mechanical phenomena in materials, particularly for energy storage devices and aerospace applications. He also directs the Aero Maker Space , an educational lab for rapid prototyping and testing of novel engineering ideas. Research Interests Multiphysics modeling of chemical-mechanical interactions in materials Electrochemical performance of nano-architected lithium-ion battery electrodes Design of smart materials and structures for urban/regional air mobility Integration of energy storage systems into UAV structural components Health monitoring of energy storage systems via mechanical sensing Projects & Grants Defense Advanced Research Projects Agency (DARPA)-sponsored project on robotic landing gear (RLG) for rotorcraft, in collaboration with Boeing Development of a four-bar, cable-driven leg mechanism and rubber-encapsulated pressure sensors for UAVs

Seth Hutchinsonمشاهده پروفایل

استاد

• Robotics
• Computer Vision
• Control Theory
• +۵ مورد دیگر

Seth Hutchinson is a distinguished roboticist currently serving as Professor and KUKA Chair for Robotics in the School of Interactive Computing at the Georgia Institute of Technology (2018-2024), where he also served as Executive Director of the Institute for Robotics and Intelligent Machines starting in 2019. He is additionally an Emeritus Professor of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign. Beginning January 2025, he will be joining Northeastern University. His academic journey spans multiple prestigious institutions with a focus on robotics, control theory, and computer vision. Dr. Hutchinson's research interests span a broad range of topics in robotics, including: Robotics and Autonomous Systems Computer Vision and Visual Servoing Control Theory and Motion Planning Machine Learning and Reinforcement Learning Applications Human-Robot Interaction Multi-Robot Systems His recent publications demonstrate a strong focus on cutting-edge robotics research, with particular emphasis on reinforcement learning for locomotion, safety-aware planning, and vision-based navigation. His work bridges theoretical foundations with practical applications, spanning from quadrupedal locomotion to autonomous surface vehicles and human-robot interaction. The publications reveal a consistent thread of addressing fundamental challenges in robotics while pushing the boundaries of what's possible in areas like sim-to-real transfer, emotion-aware navigation, and architectural-scale robotic art. Dr. Hutchinson has held significant leadership positions, including serving as Executive Director of the Institute for Robotics and Intelligent Machines at Georgia Tech. His academic contributions extend beyond research to include educational leadership and professional service within the robotics community. His academic journey includes a sabbatical period in Rome during Fall 2013, where he engaged with La Sapienza (the University of Roma) while continuing his robotics research. This international experience demonstrates his commitment to global collaboration in advancing robotics science.