جست‌وجوی استاد و پژوهشگر

Holly McIlwee Goleckiمشاهده پروفایل

عضو هیئت علمی

• Engineering Education
• Mechanics of Biomaterials
• Soft Robotics
• +۷ مورد دیگر

Holly McIlwee Golecki serves as a Teaching Assistant Professor in the Department of Bioengineering at the University of Illinois Urbana-Champaign . With advanced degrees in Materials Science and Engineering (BS, MS - Drexel University) and a PhD in Engineering Sciences from Harvard University, she specializes in Soft Robotics , Mechanics of Biomaterials , and Engineering Education . Education: BS, Materials Science and Engineering, Drexel University MS, Materials Science and Engineering, Drexel University PhD, Engineering Sciences, Harvard University Her research focuses on soft robotics education and medical device design , with particular emphasis on making human-centered design accessible through hands-on prototyping and interdisciplinary collaboration . She maintains active research groups that explore biomaterials in robotic systems , soft robotics education , and innovative engineering pedagogy . Recent publications highlight her work in soft robotics education with applications in pressure ulcer prevention , biofabrication , and soft underwater robotics . The ASEE and Soft Robotics journals feature her team's research on soft robotics curriculum development and medical device innovation . Scientific Awards: NSF funding as co-PI for Southern and Central Illinois Louis Stokes Alliance for Minority Participation Jump Arches Program funding for active wheelchair seat cushion development Clare Booth Luce Scholar Program mentorship Innovate & Iterate Prototyping Microgrant recipient As an advisor, Golecki mentors students in soft robotics , medical device design , and bioengineering education , with former students like Omolola Okesanjo and Cornell Horne pursuing graduate studies at Carnegie Mellon and UIUC. She co-organizes professional development workshops and maintains active collaborations with Conor Walsh's Harvard Biodesign Lab and Sandia National Labs .

• Medical Robotics
• Agricultural Robotics
• Infrastructure Robotics
• +۴ مورد دیگر

Chao Chen is an Associate Professor at the Department of Mechanical & Aerospace Engineering, Monash University, and Director of the Laboratory of Motion Generation and Analysis (LMGA). He holds an adjunct position as Associate Professor at the Chinese University of Hong Kong. His research focuses on medical, agricultural, and infrastructure robotics, emphasizing design, dynamics, control, and intelligence. Key innovations include the Robotic Transverse Profiler (delivered to the Australian Road Research Board in 2016), the 3D Printed Prosthetic Hand (2017 Award), and the Apple Harvesting Robot (2019 Global AI Expo). Dr. Chen has secured over $2M in lead research funding and contributed to $18M in collaborative projects, supported by ARC, Collier Charitable Fund, and International Science Linkages. His awards include the 2017 Innovation Award from the Australian Hand Therapy Association and scholarships from ASME and FQRNT. Education: PhD in Mechanical Engineering (details not explicitly stated in text) Research interests span medical robotics (surgery and rehabilitation), mobile robotics with advanced mobility, and reconfigurable mechatronic systems . LMGA’s mission is to address real-world challenges via robotic technologies, targeting healthcare, agriculture, and infrastructure sectors. Recent projects include fruit harvesting systems, drug delivery sensors, and embodied AI frameworks. Publications highlight advancements in robotic perception (e.g., LiDAR-camera fusion), control systems, and tactile-enabled grasping. His work aligns with UN Sustainable Development Goals, particularly in advancing industry innovation and infrastructure (SDG 9) and sustainable agriculture (SDG 2). Awards: 1996 Dean’s Honor List (Shanghai Jiao Tong University), 2004 ASME Scholarship, 2005 FQRNT Doctorate Scholarship Grants and collaborations include leading the ALF 1 Transverse Profiler and participating in the $18M ARC Smart Process Design Hub . Current projects address robotic fruit harvesting, hydrogel drug delivery systems, and AI-driven manipulation frameworks. Labs/Teams: Director of LMGA, collaborating internationally with institutions like IRCCyN (France), Shanghai Jiao Tong University, and Agriculture Victoria.

Luyang Zhaoمشاهده پروفایل

استادیار

• Robotics
• Artificial Intelligence
• Soft Robotics
• +۹ مورد دیگر

Luyang Zhao is an incoming tenure-track Assistant Professor in the Department of Electrical and Computer Engineering at Clemson University (starting August 2025). He earned his PhD in Computer Science and double undergraduate degrees in Computer Science and Mathematics from Dartmouth College and the University of Minnesota respectively. Academic Affiliation : Clemson University (Assistant Professor) Education : PhD in Computer Science (Dartmouth College), BS in Computer Science & Mathematics (University of Minnesota) His research focuses on Robotics , particularly soft robotics, modular systems, and bio-inspired designs. Key areas include: Large Language Models for robotic design automation Modular tensegrity systems for self-assembling structures Swarm coordination strategies Multi-environment adaptability (land/aquatic/aerial) Simulation tool integration for design optimization Recent publications highlight his work on SoftSnap modular platforms, LLM-driven swarm intelligence, and bioinspired dolphin robots. He received the Neukom Outstanding Graduate Research Prize for his contributions. Industry Experience : Research internships at Amazon Robotics and TuSimple Mentorship : Advised 6+ graduate/undergraduate researchers Open-Source Contributions : Developed SoftSnap platform for rapid prototyping Academic Service : Workshop co-organization (IROS 2023), peer reviewing (RA-L, ICRA, IROS, RoboSoft, BioRob)

Qiushi Fuمشاهده پروفایل

دانشیار

• Neuromuscular Control
• Human-Robot Interaction
• Biomechanics
• +۵ مورد دیگر

Qiushi Fu is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the University of Central Florida, focusing on neuromuscular control, human-robot interaction, and biomechanics. His work leverages assistive and rehabilitation technologies to improve motor function and performance. Ph.D. in Biomedical Engineering – Arizona State University M.S. in Mechanical Engineering – State University of New York at Buffalo B.S. in Automation – Tsinghua University Research interests include sensorimotor learning, bioinspired robotics, and rehabilitation prosthetics, integrating neuroscience, robotics, and machine learning. His recent publications emphasize adaptive control in dexterous manipulation, haptic communication, and wearable rehabilitation devices. Fu leads a multidisciplinary lab advancing human movement through technology, with applications in stroke recovery and prosthetic design. His work demonstrates trends in machine learning integration for neural decoding, bioinspired exoskeletons, and collaborative human-robot systems. Though no specific awards are listed, his research has been published in high-impact journals like Frontiers in Neurorobotics and Journal of Neuroscience .

Betsy Dayana Marcela Chaparro Ricoمشاهده پروفایل

مدرس

• Medical Robotics
• Assistive Robotics
• Service Robotics
• +۳ مورد دیگر

Dr. Betsy Dayana Marcela Chaparro Rico is a Lecturer in Robotics at Swansea University's School of Mathematics and Computer Science, within the Faculty of Science and Engineering. She holds a Bachelor's degree (Honours) in Electronic Engineering from Unisangil University (Colombia, 2011), a Master's (2014) and PhD (2018) in Advanced Technology from Mexico's National Polytechnic Institute, and a PhD in Civil, Mechanical, and Biomechanics Engineering from the University of Cassino (Italy). Her research focuses on Medical Robotics, Assistive Robotics, and Sensor Systems, with notable contributions to rehabilitation devices and AI-driven gait analysis. Education: BEng (Honours) in Electronic Engineering, Unisangil University, Colombia (2011) MSc in Advanced Technology, National Polytechnic Institute, Mexico (2014) PhD in Advanced Technology, National Polytechnic Institute, Mexico (2018) PhD in Civil, Mechanical, and Biomechanics Engineering, University of Cassino, Italy (2018) Research Interests: Dr. Chaparro Rico's work spans Medical Robotics (e.g., exoskeletons, rehabilitation devices), Assistive Robotics (patient-specific orthosis design), and Sensor Systems for healthcare applications. She emphasizes translating theory into practice, particularly in robotics education and real-world solutions. Grants & Collaborations: Developed robotic rehabilitation systems funded by the National Polytechnic Institute's SIP program (e.g., teleoperated robots for high-pressure cleaning, 2017). Collaborated with institutions like the Clinical Research Institute IRCCS Neuromed (2019–2022) and CICATA Unit, National Polytechnic Institute, Mexico. Labs & Teams: Affiliated with the Biomechatronics Lab at IRCCS Neuromed and contributed to the IDENTUS research group at Unisangil University. Her work integrates interdisciplinary approaches to robotics and biomedical engineering.

Hongrui Jiangمشاهده پروفایل

استاد

• MicroElectroMechanical Systems (MEMS)
• BioMEMS
• Optical MEMS (MOEMS)
• +۷ مورد دیگر

Hongrui Jiang is a Professor in the Department of Electrical & Computer Engineering at the University of Wisconsin-Madison, with affiliations in Biomedical Engineering and Materials Science & Engineering. His research focuses on MEMS, BioMEMS, optical systems, microfluidics, and biomimetics, with applications in biomedical imaging, wearable sensors, and smart materials. He holds the Lynn H. Matthias Professorship and has been recognized as an IEEE Fellow and AIMBE Fellow. Education: PhD 2001, Cornell University MS 1999, Cornell University BS 1995, Peking University (Summa cum Laude) Research Interests: Jiang’s work spans micro-optical imaging systems, biological/chemical sensing, functional polymers, and bioinspired design. Key areas include wearable gait monitoring, laparoscopic surgery visualization, and tunable optical devices. His lab develops novel MEMS-based sensors and actuators for biomedical and environmental applications. Publications: Recent work emphasizes real-time video stabilization, 3D medical imaging systems, and wearable sensor networks. Themes include fusion of computer vision with biomedical engineering and optimization of microsystems for clinical use. Awards: 2023 Bryon Bird Award 2017 IEEE Fellow 2014 Lynn H. Matthias Professorship 2011 NIH New Innovator Award Teaching & Grants: Courses include E C E 230 (Circuit Analysis) and advanced graduate research seminars. His grants support projects in MEMS fabrication, biomedical sensors, and smart materials. He advises graduate students in ECE and collaborates across disciplines. Labs/Teams: Leads the Jiang Lab for MEMS and BioMEMS research, focusing on translational technologies for healthcare and engineering challenges.

• Microrobotics
• Biomedical Engineering
• Biohybrid Systems
• +۴ مورد دیگر

Veronika Magdanz is an Assistant Professor in Systems Design Engineering at the University of Waterloo since 2022, specializing in microrobotics for medical applications. Her research focuses on biohybrid systems, such as leveraging biological components like sperm cells to develop innovative medical solutions, alongside bioinspired magnetic microrobots controlled via wireless magnetic fields. Education: She earned a Doctorate in Biology from TU Dresden (2016) and a Master of Science in Biotechnology from TU Braunschweig (2010). Her postdoctoral work included a Humboldt Fellowship at the Institute for Bioengineering of Catalonia, where she explored flexible magnetic microrobots and 3D bioprinting of muscle tissue. Research Interests: Her work spans microrobotics, biohybrid systems, magnetic actuation, bioprinting, and medical robotics. She pioneers applications such as sperm-driven microrobots for targeted drug delivery and wireless-controlled soft robots for clinical interventions. Grants & Awards: She secured over $900K in government funding for her research. Her lab focuses on advancing biomedical robotics and has contributed to breakthroughs in sperm cell dynamics and magnetic microactuation. Labs/Teams: Her research involves collaborations across disciplines, including bioengineering, materials science, and robotics, with a focus on translating innovations into clinical applications.

• Robotics
• Sensors Technology
• Biomedical Engineering
• +۵ مورد دیگر

Oliver Ozioko is a Lecturer in Electrical and Electronic Engineering at the College of Science and Engineering. His research focuses on advanced sensor technologies, wearable systems, and robotic applications. He specializes in developing soft, flexible sensors for robotics, prosthetics, and biomedical devices. Key areas of interest include tactile sensing, electronic skin (e-skin), additive manufacturing for sensors, and assistive technologies for the deafblind community. His work integrates interdisciplinary approaches combining material science, nanotechnology, and robotics. Notable contributions include capacitive sensors using recycled carbon fibers, 3D-printed robotic end-effectors, and multifunctional e-skin systems with temperature and pressure sensing capabilities. He has also pioneered tactile communication interfaces and haptic feedback devices for assistive applications. Publications span journals like IEEE Sensors Letters and Sensors, with conference contributions at IEEE International Conferences on Flexible Sensors and Systems. His research emphasizes sustainability (e.g., recycled materials) and real-world applications in healthcare and industrial automation. Awards and grants information is not explicitly detailed in the provided texts, though his prolific publication record indicates sustained research activity. He collaborates extensively with industry partners and academic institutions globally, though specific lab affiliations are not mentioned.

• Robotics
• Embedded Systems
• Autonomous Systems
• +۳ مورد دیگر

Eric M. Schwartz is an Instructional Professor and Director of the Machine Intelligence Laboratory at the University of Florida's College of Engineering, Department of Computer and Information Science and Engineering. He holds a PhD in Electrical & Computer Engineering from the University of Florida (1995), along with MS and dual BS degrees in Electrical Engineering and Mechanical Engineering from the same institution (1989, 1984). His research focuses on Robotics, Embedded Systems, and Autonomous Agents, with particular emphasis on underwater and surface vehicles. He has led the development of multiple award-winning robotic systems, including the SubjuGator AUV and NaviGator maritime systems. His work spans control systems, sensor design, and collaborative robotics, often emphasizing modularity, cost-effectiveness, and real-world applications. Dr. Schwartz has been recognized for his teaching and mentorship, earning titles such as HWCOE Faculty Adviser/Mentor of the Year (2024), ECE Department Faculty of the Year (2022-2023), and multiple Teacher of the Year awards (2002, 2012). He has advised teams that won world championships in RoboSub (2005-2007), RoboBoat (2013), and the Maritime RobotX Challenge (2019). His advising and grant efforts have supported student-led projects in autonomous systems, robotics competitions, and educational outreach. He is affiliated with the Machine Intelligence Laboratory (MIL), which develops advanced robotics technologies and promotes STEM education through hands-on projects.

Mario Selvaggioمشاهده پروفایل

استادیار

• Shared control/autonomy
• Robot teleoperation
• Passivity-based control
• +۷ مورد دیگر

Mario Selvaggio is an Assistant Professor at the Department of Electrical Engineering and Information Technology, University of Naples Federico II. He actively contributes to robotics research through his involvement with PRISMA Lab and ICAROS , while co-founding spinoff companies BeyondShape and Herobots . His academic background includes a Ph.D. in Information Technology and Electrical Engineering (2020) under Prof. Bruno Siciliano, with previous degrees in Mechanical Engineering (2013, 2015). Ph.D. in Information Technology and Electrical Engineering (2020) Bachelor's and Master's in Mechanical Engineering (2013, 2015) His research interests focus on shared control/autonomy, robot teleoperation, passivity-based control, soft robotics, and robotic surgery. He has developed innovative solutions including: Shared-control teleoperation for soft growing robots Non-prehensile object transportation frameworks Advanced modeling of cable-suspended dual-arm systems Medical robotics with force-sensor equipped tools Virtual reality-based teleoperation architectures Recent publications (2021-2025) span topics from semi-autonomous aerial manipulation to cyber-physical measurement systems, with emphasis on human-robot interaction and industrial applications. He serves as Associate Editor for several IEEE conferences and journals. Scientific Awards IEEE RAS Technical Committee on Haptics grant ($2500, 2018) Second prize at Bioengineering Congress (2018) Finalist for 'Fabrizio Flacco' Best Paper Award (2020) Prof. Selvaggio teaches the Master's Course in Automation Engineering and Robotics (2024/2025) using Robot Operating System (ROS) curriculum. He actively collaborates with international research groups at IRISA/INRIA Rennes , Rainbow team , and University of California Santa Barbara (mechanical engineering department). His research combines theoretical advancements with practical implementations, demonstrated through extensive validation in simulated environments and real robotic platforms including KUKA LWR IIWA manipulators, dVRK systems, and humanoid platforms.

Leo Wuمشاهده پروفایل

مدرس ارشد

• Medical Robotics
• Assistive Robotics
• Manufacturing Robotics
• +۵ مورد دیگر

Dr. Leo Wu is a Senior Lecturer at the School of Mechanical and Manufacturing Engineering, University of New South Wales (UNSW), Sydney, Australia. He earned his BS and PhD in Mechanical Engineering from Tsinghua University, followed by postdoctoral roles at National University of Singapore (2014-2015) and Queensland University of Technology (QUT) as a Vice-Chancellor’s Research Fellow (2016-2018). From 2016-2020, he was affiliated with the Australian Centre for Robotic Vision, an ARC Centre of Excellence. PhD in Mechanical Engineering, Tsinghua University (2013) BS in Mechanical Engineering, Tsinghua University (2008) His research focuses on medical robotics , particularly flexible robots and intelligent perception systems for minimally invasive surgery . He has also made significant contributions to Lie groups theory in robotics , kinematic modeling and calibration for surgical and industrial robots, and wearable assistive technologies . His work integrates soft robotics with variable stiffness mechanisms and multimodal sensing , often leveraging machine learning and control engineering to enhance robotic autonomy and precision. Scientific awards include prestigious fellowships such as the QUT Vice-Chancellor’s Research Fellowship , QUT ECARD/VCRF Travel Fellowship , and Associate Fellowship of Higher Education Academy . He has received multiple academic honors from Tsinghua University and national scholarship programs. Dr. Wu actively supervises HDR students, focusing on surgical robotics and teleoperated orthopaedic systems . His research portfolio includes grants from the ARC Discovery Projects , UNSW MME RIS , and QUT internal schemes , covering topics like bioinspired flexible haptics , vision-guided robotic assembly , and precision motion capture systems . Collaborations extend to institutions like QUT, NUS, and clinical partners in robotic vision.

• Structural Biomechanics
• Musculoskeletal Modeling
• Finite Element Analysis
• +۳ مورد دیگر

Andrew Phillips is a Professor in Structural Biomechanics at Imperial College London's Department of Civil and Environmental Engineering within the Faculty of Engineering. He leads the Structural Biomechanics Group and coordinates the MEng Civil Engineering degree program. His research focuses on musculoskeletal modeling, finite element analysis, and bioinspired structures. Phillips holds a PhD from the University of Edinburgh (2005) and an MEd from Imperial College (2014). Key affiliations include the Additive Manufacturing Network, Centre for Blast Injury Studies, and Musculoskeletal Medical Engineering Centre. His work integrates computational methods with biomechanical principles, addressing topics like bone adaptation, trauma injury effects, and wearable sensor technologies. Notable contributions include developing motoneuron-driven muscle models and synthetic motion capture datasets via generative adversarial networks (GANs). Phillips also organizes the Parametric Engineering Course with Arup and SimplyRhino. Recent publications emphasize bone health in amputees, neural drive estimation, and energy-absorbing metamaterials. His 2018 European Society of Biomechanics SM Perren Award recognizes outstanding contributions to hip dysplasia biomechanics. Research trends highlight interdisciplinary approaches merging machine learning with traditional biomechanics to solve clinical and engineering challenges.

• Adaptive Control
• Robotics
• Aerospace Engineering
• +۳ مورد دیگر

Karim Ahmadi Dastgerdi is a Lecturer at the School of Architecture, Technology and Engineering at the University of Brighton. His work spans aerospace engineering, marine engineering, and robotics, focusing on adaptive control systems and fault-tolerant design for unmanned vehicles. Research focus areas: Adaptive control strategies for dynamic environments Fault-tolerant systems in multi-rotor UAVs Obstacle avoidance for marine vehicles and autonomous crafts Geometric path planning under uncertainty Image-based navigation and velocity estimation Collision risk assessment in multi-vessel encounters Publication trends (2019–2024): His research output includes 15 recent works on adaptive velocity obstacle avoidance, fault-tolerant control, and geometric planning for quadcopters, marine vehicles, and Mars rovers. These publications reflect interdisciplinary work in control theory, computer science, and aerospace/marine engineering. Collaborative networks: Active collaborations with researchers like W. Naeem, N. Athanasopoulos, and B. Singh in control systems and autonomous navigation.

• Neuromorphic Electronics
• Neuroscience
• Biointerfaces
• +۳ مورد دیگر

Dr. Hongwei Tan serves as Group Leader at the Department of Molecular Electronics, Max Planck Institute for Polymer Research (MPIP) in Mainz since November 2024. Previously, he was Research Fellow (2022-2024) and Postdoctoral Fellow (2017-2022) at Aalto University's Department of Applied Physics, following postdoctoral work at the University of Massachusetts Amherst on neurointerface devices. His academic credentials include: Bachelor of Physics, Nankai University (2011) Doctorate in Materials Physics and Chemistry, University of Chinese Academy of Sciences (2016), focusing on neuromorphic photomemristors Tan's research pioneers neuromorphic biointerfaces—integrating brain-inspired electronics with biological systems to enable energy-efficient computation and seamless biointeraction. His work targets transformative applications in brain-machine interfaces, prosthetics, and diagnostics through interdisciplinary convergence of neuroscience, materials science, and engineering. His publication portfolio (2015-2024) reveals a clear evolution from foundational optoelectronic memristor research toward complex neuromorphic systems for sensory processing. Key thematic trajectories include photomemristor-based vision systems, tactile coding with spiking nerves, and nanoionic human-machine interfaces, demonstrating consistent innovation in bioinspired hardware. As MPIP Group Leader, Tan directs research strategy and team mentorship within his neuromorphic electronics program, though specific advisees and grant details remain unlisted in available materials. His laboratory focuses on developing integrated neuromorphic systems—from novel materials and devices to algorithms—that facilitate bidirectional communication between electronic and biological neural networks for next-generation neurotechnologies.

• Coastal Engineering
• Climate Change Impact Assessment
• Machine Learning Applications in Environmental Modeling
• +۵ مورد دیگر

Mahmoud Ayyad is a Researcher at Stevens Institute of Technology, affiliated with the Charles V. Schaefer, Jr. School of Engineering and Science's Department of Civil, Environmental and Ocean Engineering. His work focuses on applying machine learning to environmental and coastal engineering challenges, including storm surge modeling, energy harvesting systems, and fluid dynamics. He holds a PhD in Civil, Environmental, and Ocean Engineering from Stevens (2023), an MS in Engineering Mathematics from Cairo University (2017), and a BS in Aerospace Engineering (2013). Research Interests: Dr. Ayyad’s research integrates artificial intelligence with environmental systems analysis. His work emphasizes: Machine learning-driven hurricane storm surge prediction under climate change scenarios Optimization of energy harvesting systems using neural networks Computational fluid dynamics for transonic aerodynamics and wave energy converters Uncertainty quantification in coastal morphodynamic models Publications: His recent work spans AI-based storm surge hazard assessment, piezoelectric energy harvesting optimization, and river ice detection using machine vision. Over 20 peer-reviewed articles demonstrate his interdisciplinary approach combining environmental engineering with advanced computational methods. Advising/Grants: While no specific grants or student advisement are documented, his research collaborations indicate active participation in Stevens' flood prediction and renewable energy initiatives. His work aligns with the Davidson Laboratory’s focus on coastal engineering and ocean systems.