Professor Hongdong Li is a Tenured Professor at the School of Computing, Australian National University (ANU), within the College of Engineering and Computer Science. His research focuses on 3D Computer Vision, Machine Learning, and their applications in dynamic environments. He has held visiting roles at Carnegie Mellon University and has contributed to significant projects like the Australia Bionic Eyes initiative. Education: PhD (Electrical Engineering). Research Interests : 3D Computer Vision fundamentals and applied AI systems Learning-based 3D perception for plant sciences Robot navigation in unfamiliar environments Awards : Marr Prize Honourable Mention CVPR Best Paper Award Advising & Grants : Supervised 40+ PhD students, with funding from ARC, CSIRO, Microsoft, and firms like OPPO/Tencent. Active in projects such as bushfire detection via video analytics and sign language translation systems. Labs/Teams : Co-founder of the Australian Centre for Robotic Vision (ACRV). Collaborates globally on cross-view localization and autonomous systems.
Patrick Slade is an Assistant Professor of Bioengineering at Harvard University's School of Engineering and Applied Sciences (SEAS). His lab, the Slade Lab, focuses on developing assistive devices to enhance mobility through the integration of biomechanics, robotics, and human-centered artificial intelligence. Key research areas include exoskeletons, prosthetics, wearable sensors for health tracking, and navigation aids for visually impaired individuals. Research Interests: The lab emphasizes translating research into practical solutions, such as personalized exoskeletons and robotic systems to improve mobility. Recent work includes optimizing human-robot interaction algorithms and publishing in high-impact journals like Nature . Collaborations with labs like the Biodesign Lab and BIONICs Lab highlight cross-disciplinary efforts. Publications: Over 15 articles since 2017 span topics like exoskeleton design, energy expenditure modeling, and Bayesian reinforcement learning. Notable contributions include a 2022 Nature paper on personalized exoskeleton assistance and a 2021 study on navigation aids for impaired vision. Awards & Grants: Students in his group have received prestigious NSF GRFP fellowships and conference awards, reflecting the lab's emphasis on innovation. The lab actively engages in grant-funded projects to advance assistive technology. Lab & Team: The Slade Lab opened at Harvard in 2023 and includes PhD students and postdocs working on devices like robotic exoskeletons and health-tracking systems. Future work focuses on scalable solutions for mobility challenges through interdisciplinary approaches.
Dr. Todd D. Murphey is a Professor of Mechanical Engineering at Northwestern University's Robert R. McCormick School of Engineering and Applied Science. He serves as Director of Transformative Research and Director of the Master of Science in Robotics Program at Northwestern, leading initiatives in computational dynamics, control systems, and robotics. His work bridges engineering, neuroscience, and biomedical applications, with a focus on developing systems that interact effectively with humans and their environments. Dr. Murphey received his Ph.D. in Control and Dynamical Systems from the California Institute of Technology in 2002, with a thesis titled "Control of Multiple Model Systems." Prior to that, he earned a B.S. in Mathematics, summa cum laude, from the University of Arizona in 1997. Dr. Murphey's research centers on computational methods in dynamics and control, with applications spanning neuroscience, health science, robotics, and automation. His work in the Interactive & Emergent Autonomy Lab focuses on computational models of embedded control, biomechanical simulation, dynamic exploration, and hybrid control. The group develops mathematical approaches that lead to orders of magnitude improvement in computational efficiency for real-time implementation. Key application areas include assistive exoskeleton control, stabilization of energy networks, bio-inspired active sensing, entertainment robots, robotic exploration, and software-enabled stroke rehabilitation. Analysis of Dr. Murphey's recent publications reveals a strong emphasis on human-swarm interaction, algorithmic matter, and control of cyber-physical systems in uncertain environments. His work increasingly integrates information theory with physical systems, exploring how both autonomous and biological systems interact with environments to learn and improve behaviors. Recent trends show growing applications in rehabilitation technology, with particular focus on human-machine interaction in biomedical devices and embodied intelligence. Dr. Murphey has received numerous honors and awards for his contributions to robotics and engineering: Named Director of Transformative Research at Northwestern University (2025) Appointed IEEE Robotics and Automation Society Vice President of Publication Activities (2022) Co-recipient of Best Paper Award for IEEE Transactions on Robotics (2020) Appointed to Air Force Scientific Advisory Board (2019) Recipient of ABB Best Student Paper Award for CPL-SLAM research (2019) Cole-Higgins Award from Northwestern Engineering (2015) Dr. Murphey has supervised numerous graduate students including Taosha Fan, Giorgos Mamakoukas, and Ian Abraham, with research spanning robotic exploration using electrosense and mechanical contact, human-in-the-loop control, and shared control for rehabilitation devices. His lab has secured significant funding from the National Science Foundation, DARPA, and industry partners including Siemens and Ekso Bionics, supporting research in algorithmic matter, emergent behavior, and human-swarm collaboration. The Interactive & Emergent Autonomy Lab, led by Dr. Murphey, investigates how both autonomous systems and biological systems interact with their environments to learn and improve behaviors. Current projects include active learning and data-driven control, active perception in human-swarm collaboration, algorithmic matter and emergent computation, control for nonlinear and hybrid systems, cyber physical systems in uncertain environments, harmonious navigation in human crowds, information maximizing clinical diagnostics, reactive learning in underwater exploration, robot-assisted rehabilitation, and software-enabled biomedical devices. The lab collaborates with researchers across Northwestern and institutions including Georgia Tech, MIT, and industry partners.
Dr. Jing Wang is a Professor in the Department of Bioinformatics at Southern Medical University's School of Medicine, with extensive research at the intersection of artificial intelligence and biomedical applications. Her work demonstrates strong cross-disciplinary collaboration across medical institutions, engineering departments, and computer science research groups. Her primary research interests include Artificial Intelligence in Healthcare , Biomedical Engineering , and Traditional Chinese Medicine Informatics , with recent publications showing particular expertise in medical imaging analysis, diagnostic assistance systems, and clinical decision support. Her work spans both theoretical algorithm development and practical clinical implementations. Analysis of her 15 most recent publications (2025-2026) reveals a strong trend toward clinically applicable AI systems, with approximately 60% of publications focused on medical diagnostics and treatment support systems. The remaining publications demonstrate expertise in industrial applications of computer vision and fundamental AI research. Her work shows consistent collaboration with both domestic Chinese institutions and international research groups. Notable scientific contributions include: Development of 'Tianyi', a traditional Chinese medicine language model for clinical practice Innovations in bionic soft robotics for rehabilitation assistance Novel approaches to medical image analysis for cancer diagnostics Her research program appears well-funded with consistent publication output across high-impact journals in biomedical engineering, AI, and medical informatics. Current work suggests strong emphasis on translating AI research into clinical practice, particularly in diagnostic support systems and rehabilitation technology.
Heikki Handroos is a Full Professor of Mechanical Engineering at LUT University, leading the Laboratory of Intelligent Machines since 1993. He holds a DSc (Technology) from Tampere University of Technology and has served as Vice-Dean of the Faculty of Technology (2007-2009) and currently chairs the Collegiate Body of LUT University. His research focuses on mechatronics, robotics, control systems, and fluid power, with over 300 publications and 2,400+ citations. He has supervised 34 doctoral theses and 150+ MSc projects, managed R&D projects exceeding €20M, and co-founded four tech startups. His work spans industrial collaborations, digital twin applications, and innovative robotics for nuclear energy (e.g., DEMO reactor maintenance systems). He has held visiting professorships in the U.S., Japan, and Russia, and actively contributes to academic editorial roles and professional societies like ASME and IEEE.
Cagdas Onal is an Associate Professor of Robotics Engineering at Worcester Polytechnic Institute (WPI). He holds a BS and MS from Sabanci University (2003, 2005) and a PhD in Robotics from Carnegie Mellon University (2009). His research focuses on soft robotics, bio-inspired systems, and control theory , emphasizing the development of flexible robotic components for healthcare, industry, and sustainable applications. He leads the Soft Robotics Lab and the Future of Robots in the Workplace (FORW-RD) initiative, advancing human-centric robotics solutions. Research interests include designing bio-inspired soft robots (e.g., origami-inspired snake robots), developing modular actuation systems with embedded sensors, and exploring applications in medical devices and assistive technology. His work aligns with UN Sustainable Development Goals, particularly in healthcare access (SDG 3), quality education (SDG 4), and innovation (SDG 9). Recent projects include origami-based robotic arms for wheelchair users , self-contained underwater robots, and haptic interfaces for teleoperation. His lab collaborates on国家级 grants like the NSF-funded NRT Program and has secured patents for actuator designs (e.g., Hydro Muscle). Labs/Teams: Soft Robotics Lab, FORW-RD, NRT Program. Notable media coverage includes Worcester Telegram & Gazette and Spectrum News for innovations in human-friendly robotics.
Dr. Anna Hatton is a Senior Lecturer at the School of Health and Rehabilitation Sciences , The University of Queensland. As Co-Director of the UQ Centre for Neurorehabilitation, Ageing and Balance Research and Associate Editor for Gait & Posture , she leads interdisciplinary research into sensory-based rehabilitation technologies. Her work bridges clinical practice with engineering innovation, focusing on footwear devices for balance enhancement. Research themes: novel textured/vibratory insoles , neurological gait analysis , age-related mobility Key funding: NHMRC IDEAS Grants , Bionics Queensland Challenge , Diabetes Australia , PA Research Foundation Her Young Tall Poppy Science Award (2016) recognizes contributions to plantar sensory stimulation. Current supervised projects explore bionic insole neurophysiology , combat sports injury prevention , and sport performance optimization . Media engagements focus on electromyography , sensorimotor function , and footwear interventions .
Aaron Young is an Associate Professor in the Woodruff School of Mechanical Engineering at Georgia Institute of Technology and a program faculty member in the Biomedical Engineering School. He serves as Director of the Exoskeleton and Prosthetic Intelligent Controls (EPIC) Lab, focusing on robotic human augmentation through advanced control systems for prosthetics and exoskeletons. Education: Postdoctoral Fellow, University of Michigan (2014-2016) Ph.D., Northwestern University (2014) M.S., Northwestern University (2011) B.S., Purdue University (2009) Dr. Young's research addresses clinically viable control systems for wearable robotic devices, emphasizing intent recognition , EMG signal processing , and machine learning integration. His work targets mobility impairments from stroke, amputation, cerebral palsy, and neurological injuries, aiming to reduce metabolic costs, restore natural biomechanics, and enhance community ambulation. Key innovations include data-driven control frameworks , biomechanical terrain adaptation , and anthropometry-based personalization . His recent publications highlight advancements in deep learning for real-time biomechanics , EMG-informed joint estimation , and adaptive assistance systems . The EPIC Lab's facilities feature a terrain park with force plates , motion capture systems , and HumoTech simulation platforms for device testing. Scientific Awards: New Faces of Engineering (IEEE USA, 2017) Military Health System Team Award (2015) NSF Graduate Fellowship (2010) NDSEG Fellowship (2010) IEEE EMBC 3rd Place (2013) Projects include NSF-funded hip exoskeletons for stroke survivors, DoD-powered prostheses for amputees, and Pediatric knee exoskeletons for cerebral palsy. The lab cultivates interdisciplinary expertise in robotics , biomedical engineering , and human-machine interaction .
Donato Romano serves as Associate Professor at The BioRobotics Institute of Scuola Superiore Sant'Anna, Italy, where he coordinates the Bio-Robotic Ecosystems Lab and co-founded the spin-off company HUBILIFE srl. His interdisciplinary work bridges robotics, biology, and AI to develop biohybrid systems for biodiversity preservation, sustainable environmental management, and life support in extreme scenarios including space exploration. With over 90 publications and an H-index of 27 (Scopus, March 2025), he has established significant academic leadership through editorial roles across 12+ international journals. Romano's educational foundation includes advanced degrees with honors: an M.Sc. in Agriculture Science and Technologies (2014) and a PhD in BioRobotics (2018), both from Scuola Superiore Sant'Anna. His academic journey includes visiting scholar positions at Khalifa University and substantial industry-academia collaboration through HUBILIFE srl, which commercializes bioinspired devices for human daily life improvement. His research program focuses on bioinspired and biomimetic robotics with particular emphasis on animal-robot interaction, biohybrid systems, and natural intelligence. Key projects address critical global challenges: SENSORBEES develops biohybrid environmental surveillance for ecological monitoring; REGOLIFE investigates lunar soil-terrestrial organism interactions for space agriculture; and OCEAN ROBOCTO explores marine ecosystem solutions. This work demonstrates a strategic progression from fundamental behavioral studies toward applied ecological and extraterrestrial systems. Analysis of his recent publications reveals strong trends in AI-driven behavioral analysis, with deep learning increasingly applied to entomological studies and pest management. The research spans agricultural applications (precision monitoring traps, larval detection systems), ecological conservation (biodiversity surveillance), and extreme-environment adaptation (lunar regolith studies). A distinctive feature is the consistent integration of biohybrid approaches where living organisms and robotic systems create synergistic capabilities exceeding either component alone. Romano's scientific recognition includes election as Junior Fellow of the Italian Academy of Engineering and Technology (2025), the Lucani fuori dal Comune award (2024), and multiple best-thesis prizes. His editorial leadership spans high-impact journals including IEEE Transactions on Medical Robotics and Bionics and Pest Management Science, where he serves as Associate Editor. As principal investigator, Romano coordinates major international projects totaling over €15M in funding: HORIZON-EIC's SENSORBEES (2024-2029), ASI's REGOLIFE (2024-2027), National Geographic's OCEAN ROBOCTO (2024-2026), and PRIN's COSMIC (2023-2025). His teaching portfolio includes PhD courses in Biosystems for Biorobotics and M.Sc. instruction in Bionics Engineering at Scuola Superiore Sant'Anna and University of Pisa. The Bio-Robotic Ecosystems Lab under Romano's direction pioneers biohybrid technologies where living organisms and robotic systems create integrated solutions. Current initiatives include SENSORBEES' environmental monitoring swarms, REGOLIFE's moonworm colonization systems, and HUBILIFE's commercial vector-control devices. The lab maintains active collaborations with space agencies, agricultural institutes, and conservation organizations, positioning biohybrid systems as next-generation tools for planetary-scale challenges.
Enzo Mastinu is an electronic engineer specialized in embedded systems for biomedical applications, holding an Associate Professor qualification in Bioengineering. He earned his bachelor's and master's degrees in electronic engineering from the University of Cagliari and a PhD in biomedical signals and systems from Chalmers University of Technology, Sweden. His research focuses on advanced prosthetics and neuroprostheses for upper limb amputations, incorporating embedded systems design, control algorithms, sensory feedback, signal processing, AI, and osseointegration. Key projects include the HAND and HAND2 initiatives, funded by the EU and the Italian Ministry of Research, aiming to develop semi-autonomous prosthetic hands. He has published 25 journal articles (75% in Q1) and 21 conference papers, contributing to a PCT patent. Mastinu is a Senior Member of IEEE EMBS and RAS, reviews for ~90 journals/conferences, and edits Transactions on Medical Robotics and Bionics (IEEE) and Scientific Data (Nature). He has supervised ~40 students across PhD, master's, internships, and postdocs, and teaches courses in biomedical engineering and STEM education. His scientific awards include the Marie Skłodowska-Curie Fellowship (2021), National Qualification as Associate Professor (2024), and a Young Researcher Grant (2025). Research emphasizes clinical implementation of prosthetics with neural feedback and intuitive control, as highlighted in high-impact journals like the New England Journal of Medicine.
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 .
Xiaoshu Lu serves as an Adjunct Professor in the Department of Civil Engineering at Aalto University's School of Engineering, Finland. His primary contact is xiaoshu.lu@aalto.fi with phone number +358503503021, and his research profile is accessible via Aalto University's research portal. His research spans CO2 sequestration, rock mechanics, and sustainable construction, with emphasis on enhanced rock weathering for carbon capture, diamond bit fragmentation mechanisms, and biomass-to-energy systems. Interdisciplinary work includes agricultural engineering applications in plant disease detection and transportation engineering for traffic flow forecasting using graph neural networks. Recent publications (2024-2025) reveal dominant themes in geological CO2 storage and rock mechanics, featuring experimental studies and comprehensive reviews. While most work focuses on environmental/geotechnical civil engineering, select publications demonstrate cross-disciplinary reach into computer vision and transportation systems. Key accolades include: Napier Shaw Bronze medal (2006) Best 2012 Research Paper Competition from Aalto University School of Engineering (2013) Second prize in China's Innovation and Entrepreneurship Competition for Overseas Talents (2017) Honourable Tang Aoqing Professorship at Jilin University, China (2013-present) No details regarding graduate student supervision or research grants appear in the source material. He contributes to the 'Performance in Building Design and Construction' research group at Aalto University.
Dr. Lin Jiang serves as Assistant Professor in the Department of Mechanical Engineering at San José State University's Charles W. Davidson College of Engineering, where her research bridges biomechanics and robotics to develop medical assistive technologies and human-robot interaction systems. Her educational background includes a Ph.D. and M.Sc. in Mechanical Engineering from the University of Texas at Dallas (2021, 2019), complemented by an M.Sc. in Control Engineering and B.Sc. in Aerospace Engineering from Nanjing University of Aeronautics & Astronautics (2014, 2011) with a minor in Industrial Business Management. Dr. Jiang's research focuses on translating aerospace control systems expertise into medical applications, particularly in rehabilitation robotics and breastfeeding technology. Her work emphasizes human-centered design for devices like the patented SmartLact8 breast pump, with recent publications demonstrating significant contributions to teleoperated rehabilitation systems and lactation biomechanics. Her 15 most recent publications (2020-2025) reveal consistent specialization in medical robotics, with dominant themes in rehabilitation devices (knee braces, upper extremity therapy), breastfeeding technology innovation, and human-robot interaction frameworks for healthcare and driving safety applications. Scientific recognition includes: New Investigator Award from CSUPERB Small Group Project Award from SJSU College of Engineering Exemplary Teaching award from UT Dallas Diversity Award from Summer Biomechanics Conference Best Paper award at ASME IMECE 2018 Research funding includes NSF support for hospital-based human-robot interaction studies. Dr. Jiang actively contributes to IEEE HKN, BMES, ASME, and ISHRML while mentoring students through her Biomechanics and Robotics Lab at SJSU. The Biomechanics and Robotics Lab serves as the primary research hub for developing medical assistive technologies, with current projects focusing on rehabilitation robotics, breastfeeding simulation systems, and human-robot interaction protocols for clinical environments.
Mark S. Humayun is a University Professor at the University of Southern California (USC), holding joint appointments in the Keck School of Medicine and the Viterbi School of Engineering. He serves as Director of the USC Ginsburg Institute for Biomedical Therapeutics and Co-Director of the USC Roski Eye Institute. His expertise lies at the intersection of ophthalmology, biomedical engineering, and stem cell biology. Humayun earned his MD from Duke University and PhD from the University of North Carolina, Chapel Hill. He pioneered the Argus II retinal implant, the first FDA-approved bionic eye for restoring vision in the blind, for which he received the National Medal of Technology and Innovation (2016). His research focuses on retinal prosthetics, stem cell therapies, and non-invasive neurostimulation techniques. Key contributions include advancements in ultrasound-based vision restoration and bioengineered retinal implants. Humayun has over 300 publications and 140 patents, with awards such as the IEEE Medal for Innovations in Healthcare Technology (2020) and ARVO Fellow (2022). His work bridges clinical practice and engineering, addressing retinal degeneration and macular diseases through innovative technologies. Notable achievements include leading the development of the Argus II, which has restored partial vision to patients with retinitis pigmentosa. Current research explores next-generation implants, stem cell-derived RPE therapies, and ultrasonic stimulation for broader vision restoration. His interdisciplinary teams collaborate across engineering, computer science, and medicine to tackle complex ophthalmic challenges.
Professor Gregg Suaning is a leading academic in Biomedical Engineering at the University of Sydney, affiliated with the School of Biomedical Engineering, The University of Sydney Nano Institute, and the Brain and Mind Centre. He holds a PhD from UNSW and has over 25 years of experience in implantable neuroprosthetics, focusing on restoring sensory functions for the blind and deaf. His work spans academic and industry roles, including contributions to Cochlear's cochlear implant innovations and pioneering visual prosthetic research. Education: PhD (UNSW, 2003), MSc and BSc (California State University, 1986-1988). Research interests center on developing implantable bionics to restore vision and hearing. Notable projects include the Phoenix 99 suprachoroidal visual prosthesis and facial nerve paralysis interventions. He has authored over 150 peer-reviewed papers and secured $60M+ in research funding. Awards include the Bartimaeus Award for contributions to the blind community and multiple innovation awards. He leads IEEE's Engineering in Medicine and Biology Society committees and holds senior IEEE membership. Current projects focus on facial nerve paralysis treatments, high-density micro-electrode arrays, and improving cochlear implant efficacy. His lab collaborates with clinical partners to advance biocompatible neural interfaces and prosthetic systems.
