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Steve CollinsView profile

Associate Professor

• Biomechanics
• Robotics
• Prosthetics
• +3 more

Steve Collins is an Associate Professor of Mechanical Engineering at Stanford University, with a courtesy appointment in the Department of Bioengineering. His research focuses on wearable robotics, biomechanics, and human-machine interaction. He leads projects on exoskeleton optimization, prosthetic design, and energy-efficient robotic actuators. His work aims to improve mobility for older adults and individuals with mobility impairments through innovative assistive technologies. Research Interests: Collins explores biomechanical principles underlying human movement, exoskeleton torque control strategies, and the design of devices that reduce metabolic costs during walking. His lab develops both hardware (e.g., exoskeleton emulators) and software (e.g., AddBiomechanics modeling tools) to advance assistive technologies. Key Contributions: He pioneered human-in-the-loop optimization methods for exoskeleton control, demonstrated energy-saving designs for ankle exoskeletons, and investigated how exoskeletons can enhance balance and reduce fall risks. His team also developed the 'Tripod' prosthesis emulator and electrostatic clutch systems for energy-efficient actuators. Grants & Collaborations: His work is supported by NSF grants (e.g., NRI: Small grant for exoskeleton control) and industry partnerships. He collaborates with clinicians to translate robotic innovations into clinical applications for amputees and aging populations. Labs & Teams: His research is conducted in Stanford's robotics and biomechanics facilities, focusing on interdisciplinary projects at the intersection of mechanical engineering, bioengineering, and computer science.

Levi J HargroveView profile

Associate Professor

• Signal Processing
• Pattern Recognition
• Myoelectric Control
• +3 more

Levi J Hargrove is an Associate Professor at Northwestern University, holding dual appointments in the Department of Physical Medicine and Rehabilitation at the Feinberg School of Medicine and the Department of Biomedical Engineering at the McCormick School of Engineering. He is also a Research Scientist at the Center for Bionic Medicine at Shirley Ryan AbilityLab. His work focuses on developing neural control systems for prosthetic limbs, particularly in myoelectric control and pattern recognition, aiming to create clinically viable solutions for amputees. Education: BScE in Electrical Engineering, University of New Brunswick, 2003 MScE in Electrical Engineering, University of New Brunswick, 2005 PhD in Electrical Engineering, University of New Brunswick, 2008 Research Interests: Signal processing, pattern recognition, myoelectric control of powered prostheses, and neural interfaces for bionic limbs. His lab translates research into clinical applications, such as the first thought-controlled bionic leg and Coapt LLC's pattern recognition systems for upper-limb prosthetics. Awards: 2017 American Academy of Orthotists and Prosthetists Research Award 2014 Department of Defense Outstanding Research Team Award 2015 Collaboration Award from Chicago Innovation Grants: Manages a $25 million portfolio from federal, military, and philanthropic sources. Key projects include NSF-funded research on human-robot interaction and DoD grants for prosthetic innovation. Labs: Leads the Regenstein Foundation Center for Bionic Medicine and collaborates with the Neurorehabilitation and Neural Engineering Lab. His work emphasizes translational research, bridging engineering and clinical practice.

Michael StevensView profile

Senior Lecturer

• Biomedical Engineering
• Advanced Manufacturing
• Digital Manufacturing
• +6 more

Dr. Michael Stevens is a Senior Lecturer at University of New South Wales (UNSW) Canberra , where he focuses on advanced manufacturing and biomedical device control systems . His work bridges digital manufacturing for SMEs with smart artificial heart technologies , emphasizing industry collaboration and translational research. Specializes in physiological control systems for rotary blood pumps Develops unobtrusive fall detection systems for dementia patients Leads international projects on total artificial heart development Education : B.Eng (Medical - First Class Honours), Queensland University of Technology (2010) PhD in Physiological Control for Biventricular Assist Devices, University of Queensland (2014) Research Trends show consistent focus on: Machine learning for biomedical diagnostics (2018–2025) mmWave radar and thermal sensors in patient monitoring (2021–2024) Computational fluid dynamics in artificial heart modeling (2016–2024) Physiological control algorithms for rotary blood pumps (2011–2025) Scientific Awards : UNSW Scientia Education Award (2021) for contextual teaching Heart Foundation Runner-up for "Smart Artificial Hearts" pitch (2021) ARC PGC Supervisor Award (2017) for mentoring Grants & Supervision : Holds over $6 million in competitive funding including MRFF and ARC grants. Currently supervises 4 PhD students while maintaining industry partnerships with VitalCare and BiVACOR. Labs & Facilities : Works across UNSW Engineering labs and Graduate School of Biomedical Engineering platforms, including mock circulation loops and high-performance computing clusters for CFD simulations.

Aaron YoungView profile

Associate Professor

• Human Augmentation
• Wearable Robotics
• Assistive Devices
• +7 more

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 .

Leonid GoubergritsView profile

Professor

• Cardiovascular Modeling
• Computational Fluid Dynamics (CFD) in Medicine
• Hemodynamics
• +10 more

Leonid Goubergrits is a Professor of Cardiovascular Modeling and Simulation at the Einstein Center Digital Future and Charité – Universitätsmedizin Berlin . With a background in applied mathematics and physics from the Moscow Institute of Physics and Technology, he has dedicated his career to applying computational fluid dynamics (CFD) to cardiovascular medicine since immigrating to Germany in 1995. His work bridges fundamental research and clinical applications, aiming to integrate numerical models into everyday medical practice to enhance diagnostics and reduce invasiveness. Doctorate at Technische Universität Berlin (2000) Habilitation at Technische Universität Berlin (2016) His research spans blood flow modeling in coronary vessels, cerebral aneurysms, heart valves, and the aorta, alongside artificial organ development and blood damage modeling . He leads a research group at Charité and the German Heart Center Berlin, focusing on patient-specific simulations and their translation to clinical settings. Recent publications highlight his work on deep learning integration for hemodynamic analysis, 4D Flow MRI validation , and medical device optimization using computational models. His team’s research includes virtual therapy planning for aortic valve replacements, hemolysis modeling , and pulmonary artery pressure sensors . Leonid actively contributes to education, redesigning TU Berlin’s Fluid Mechanics in Medicine curriculum and fostering interdisciplinary collaboration between engineers, physicians, and computer scientists. His vision emphasizes the digital transformation of medicine through computational modeling and simulation.

Daniel W. SmithView profile

Professor

• Continental Philosophy
• 20th Century Continental Philosophy
• Gilles Deleuze Scholarship
• +5 more

Daniel W. Smith is a Professor of Philosophy at Purdue University , specializing in Continental Philosophy with a focus on Gilles Deleuze . He is the author of Essays on Deleuze (2012) and co-editor of The Cambridge Companion to Deleuze (2012). His scholarly work includes translations of key French philosophers like Deleuze, Klossowski, and Serres. PhD from the University of Chicago Co-director of The Deleuze Seminars project ( deleuze.cla.purdue.edu ) funded by NEH Research interests: Deleuze studies, ethics, metaphysics, philosophy of technology, temporality, political philosophy Recent publications explore Deleuze’s theories of time, technology, and language. Notable works include Deleuze and Time (2023) and Deleuze and Technology (2024). His scholarship emphasizes conceptual innovation, immanent ethics, and interdisciplinary analysis of philosophical traditions. Scientific Awards : National Endowment for the Humanities (NEH) grant for The Deleuze Seminars project Smith’s career bridges academic rigor and public scholarship, maintaining a presence on platforms like PhilArchive and PhilPapers. His work contributes to ongoing debates about Deleuze’s relevance to contemporary philosophy and technology.

Jonathan ViventiView profile

Associate Professor

• Neural Engineering
• Brain-Computer Interfaces
• Flexible Electronics
• +4 more

Jonathan Viventi is the Hawkins Family Associate Professor of Biomedical Engineering at Duke University, with additional appointments as Assistant Professor in Neurosurgery and Neurobiology, and as a Faculty Network Member of the Duke Institute for Brain Sciences. His research focuses on developing flexible, high-resolution neural interfaces for diagnosing and treating neurological disorders, particularly epilepsy, and advancing brain-machine interfaces. Education: Ph.D. in Engineering from the University of Pennsylvania (2010). Research Interests: Dr. Viventi's work centers on flexible electronics for high-resolution brain interfacing . Key areas include: Micro-electrocorticography (μECoG) arrays with thousands of channels Wireless, fully implantable neural prosthetics for speech restoration Real-time seizure detection and prediction systems Chronic biointegration of soft electronic materials Translational applications in epilepsy, stroke, and Parkinson's disease Scientific Awards: MIT Technology Review Innovators Under 35 (2014) Popular Science Brilliant 10 (2014) Grants & Funding: Dr. Viventi leads multiple NIH-funded projects including: A Wireless µECoG Prosthesis for Speech (2021-2026) Neuro-CROWN: Optimized Ultra-Flexible CMOS Electrode Arrays (2021-2025) Next-Generation Wireless Intracranial Arrays for Post-traumatic Epilepsy (2021-2025) Laboratory & Teams: His lab develops cutting-edge neural interface technologies, collaborating across engineering, neuroscience, and clinical departments at Duke to translate flexible electronics into therapeutic devices.

Ali MeimandiView profile

Researcher

• Analog circuit design
• Biomedical circuits and systems
• Ultra-low-power integrated circuits
• +4 more

Ali Meimandi is a Doctoral Assistant and candidate in the Doctoral Program in Microsystems and Microelectronics at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. He conducts research in the BioCMOS Interfaces (BCI) Laboratory within the Institute of Electrical Engineering and Microengineering, School of Engineering, focusing on ultralow-power biomedical integrated circuits. His educational background includes: M.Sc. in Electronics Engineering from Politecnico di Milano (2022) B.Sc. in Electrical Engineering (Electronics) from Amirkabir University of Technology (2018) Meimandi's research centers on designing ultralow power and ultralow area analog/mixed-signal ICs for brain monitoring applications. His expertise spans biosensors, neural prosthesis, and miniaturized CMOS circuits, with emphasis on developing innovative biomedical systems that bridge electrical engineering with neuroscience. His work targets practical implementations for implantable and wearable health monitoring technologies. His publication record shows consistent advancement in miniaturized circuit design for biomedical applications, particularly in brain monitoring, sweat analysis, and hydration tracking systems. These works demonstrate his dual expertise in analog circuit design and biological interface implementation. Key recognition includes: 2024 IEEE Sensors Letters Best Paper Award for 'Flexible Sensor and Readout Circuitry for Continuous Ion Sensing in Sweat' As a Teaching Assistant for Bio-nano-chip design (EE-517) and Analog circuits for biochip (EE-518), Meimandi contributes to EPFL's educational mission while advancing his research in active Bio/CMOS interfaces. His work in the BCI Laboratory focuses on heterogeneous integration of nanostructures for next-generation biosensors. The BioCMOS Interfaces Laboratory provides an interdisciplinary environment where Meimandi develops novel electronic-biological interfaces, with applications ranging from neural prosthetics to continuous health monitoring systems through innovative circuit architectures.

BÜLENT HAZNEDARView profile

Associate Professor

• Artificial Intelligence
• Machine Learning
• Fuzzy Logic
• +5 more

Bülent Haznedar is an Associate Professor in the Department of Computer Engineering at Gaziantep University's Faculty of Engineering, a position he has held since 2024. Previously, he served as Doctor Lecturer at Gaziantep University (2021-2024) and held academic positions at Hasan Kalyoncu University (2013-2021) and Erciyes University (2011-2013), where he progressed from Lecturer to Department Head. His educational qualifications include: Doctorate in Computer Engineering from Erciyes University (2011-2017) Master's degree in Computer Engineering from Erciyes University (2007-2010, with thesis) Licence degree in Computer Engineering from Erciyes University (2003-2007) Dr. Haznedar's research centers on Artificial Intelligence and Machine Learning applications, with significant contributions in hydrological modeling (streamflow forecasting using hybrid ANFIS algorithms), renewable energy (solar radiation optimization), medical diagnostics (thyroid nodule classification and cancer detection), and cultural heritage informatics (3D point cloud segmentation for historical buildings). His work consistently integrates fuzzy logic systems with metaheuristic optimization techniques to solve complex prediction problems. Analysis of his 29 journal articles (2016-2024) reveals a dominant focus on Adaptive Neuro-Fuzzy Inference Systems enhanced by evolutionary algorithms (PSO, GA, ABC) across hydrology and medical domains, with recent expansion into sustainable energy and heritage preservation. His publications show increasing interdisciplinary collaboration, particularly in TUBITAK-funded projects. His scientific recognition includes: TUBITAK Publication Encouragement Awards (2018, 2023) TUBITAK PhD Scholarship (2011) TUBITAK Master's Scholarship (2008) Dr. Haznedar has supervised eight master's theses on AI applications in streamflow forecasting, energy prediction, cancer classification, and heritage modeling. His research is supported by seven projects, most notably the TUBITAK 1001 project (2019-2023) developing Heritage Building Information Modeling for Turkey's cultural heritage restoration. He also contributed to TUBITAK's Digital Prosthesis Workshop initiative. While specific laboratory affiliations aren't detailed, his leadership in the TUBITAK cultural heritage project indicates active collaboration with multidisciplinary teams spanning engineering, computer science, and heritage conservation disciplines.

• Disability Studies
• Cultural Studies
• Film Studies
• +5 more

David T. Mitchell is a Professor of English and Director of Graduate Studies in the Department of English at George Washington University's Columbian College of Arts & Sciences. His research focuses on disability representation in literature, film, and cultural studies, with particular emphasis on disability history, biopolitics, neoliberalism, and posthumanism. Mitchell has authored/co-authored over six scholarly books and numerous articles. A central theme of his work is how disability embodiment challenges normative ethics and societal structures. Education: Ph.D. in American Culture (University of Michigan), M.A. in English (University of New Hampshire), B.A. in English (University of New Hampshire) His research interests span disability cinema, eugenics history, and the biopolitical dimensions of disability. Mitchell's recent projects include the film Disposable Humanity , exploring Nazi mass murders in psychiatric institutions. He has held academic roles at institutions like Temple University and the University of Illinois at Chicago, and has organized international conferences on disability studies. His work bridges interdisciplinary domains, influencing fields from medical ethics to queer theory. Articles highlight his exploration of topics like disability memorialization, neoliberalism's impact on disability rights, and transhumanist critiques. Mitchell's contributions include editing major works like Cultural Locations of Disability and the Encyclopedia of Disability . He has also engaged in public advocacy through documentaries and lectures on topics such as disability representation in media and education.

• Prosthetics
• Rehabilitation Robotics
• Biomechanics
• +3 more

Louis Flynn is a Research Fellow at the Department of Applied Mechanics within the Faculty of Engineering at Vrije Universiteit Brussel (VUB), specializing in rehabilitation robotics and active prosthetic systems. His work bridges mechanical engineering with clinical rehabilitation through the Federated Labs AI and Robotics group, with current leadership roles in the BRGEOZ458 STEM Project and BRGEOZ461 Human-Centered Robotics initiative. His research focuses on prosthetics and biomechanical robotics , with pioneering contributions in knee prosthesis design , energy transfer optimization , and torque control systems . Key areas include stiffness modeling in lower limb interfaces, population-specific assistance algorithms, and the development of adaptive exoskeletons for transfemoral amputees. His fingerprint analysis reveals dominant expertise in Prostheses and Implants (100%), Prosthetics (68%), and Knee Prostheses (59%). Recent publications demonstrate a clear trajectory toward AI-integrated control systems and multi-modal physiological sensing , with emphasis on real-world clinical validation. The 2024-2025 output shows concentrated efforts in muscle oximetry interfaces, Cybathlon-ready active prostheses (notably the X-Leg system), and longitudinal studies of user adaptation to microprocessor-controlled joints. Research funding includes: BRGEOZ458 : STEM Project - Cybathlon & ExoGames (2024), developing educational frameworks through competitive robotics events BRGEOZ461 : Human-Centered Robotics for the Future (2025), advancing personalized assistive technologies for daily mobility As a core contributor to the VUB Cyberlegs consortium, Flynn actively develops the X-Leg active transfemoral prosthesis system and presents findings at premier venues like the International Conference on Rehabilitation Robotics. His work directly impacts both competitive athletic prosthetics and clinical rehabilitation protocols through close collaboration with clinicians and engineers.

Simona CreaView profile

Assistant Professor

• Wearable Robotics for Rehabilitation
• Wearable Sensors for Movement Analysis
• Augmented Sensory Feedback in Robotics

Simona Crea is an Assistant Professor at the Sant'Anna School of Advanced Studies in Pisa, Italy. Her research focuses on wearable robotics for rehabilitation, assistance, and performance augmentation, with specific interests in exoskeleton design for stroke rehabilitation, musculoskeletal strain reduction in workplaces, and sensory feedback systems for neurological patients. She coordinates the HABILIS and HABILIS++ projects funded by INAIL, addressing rehabilitation robotics for motor impairments. Academic Positions: Assistant Professor, Sant'Anna School of Advanced Studies (2017–present) Post-Doctoral Research Fellow, Sant'Anna School of Advanced Studies (2015–2017) Visiting PhD Student, Harvard University (2015) Educations: PhD in Biomedical Engineering, Sant'Anna School of Advanced Studies (2012–2015) M.Sc. and B.Sc. in Biomedical Engineering, University of Pisa (2009–2012) Her work emphasizes translating robotics innovations into clinical and industrial applications. Key projects include developing hip exoskeletons for stroke survivors, passive occupational exoskeletons reducing shoulder strain in repetitive tasks, and biofeedback devices for Parkinson's gait correction. Recent studies highlight energy-efficient prosthetic designs and human-robot collaboration in Industry 5.0 contexts. Publications (2020–2025) focus on exoskeleton biomechanics, gait analysis algorithms, and user-centered design methodologies. Her research bridges clinical rehabilitation needs with ergonomic workplace solutions, emphasizing interdisciplinary approaches.

Deanna GatesView profile

Professor

• Prosthetics Design
• Biomedical Engineering
• Rehabilitation Robotics
• +5 more

Deanna Gates, Ph.D., is a Professor in the Department of Movement Science BME at the University of Michigan's College of Engineering. Her research focuses on prosthetic design, biomechanics, and neural interface technologies to improve mobility for individuals with amputations. She leads the Rehabilitation Biomechanics Laboratory, advancing clinical applications of neuroprosthetics and regenerative peripheral nerve interfaces (RPNIs). Education: Ph.D. in Biomedical Engineering from The University of Texas at Austin (2009), M.S. in Biomedical Engineering from Boston University (2004), and B.S. in Mechanical Engineering with a Biomedical minor from the University of Virginia (2002). Research interests include sensory feedback systems for prostheses, musculoskeletal modeling, and translational approaches to enhance prosthetic control. Her work emphasizes clinical validation and user-centered design, addressing challenges in functional task performance, joint loading, and gait stability. Recent studies investigate bidirectional neural interfaces and RPNIs for restoring motor and sensory function in amputees. Publications highlight advancements in prosthetic alignment optimization, haptic feedback integration, and comparative analyses of body-powered vs. myoelectric prostheses. Her contributions bridge engineering innovation with clinical outcomes, aiming to reduce metabolic costs and improve mobility for amputee populations.

Carl HooverView profile

Associate Professor

• Machine Learning
• Engineering Data Science
• Manufacturing Analytics
• +4 more

Dr. Carl Hoover is an Associate Professor and Director of Laboratories in the Department of Mechanical & Aerospace Engineering at Clarkson University 's Coulter School of Engineering & Applied Sciences. With over 15 years of industry experience including executive leadership roles, he integrates machine learning and testing applications into engineering education and research. Ph.D. & M.S. in Mechanical Engineering (Clarkson University) B.S. in Aerospace Engineering (University of Virginia) His research focuses on data science applications across engineering domains, with current projects in temporal relational dependence models and manufacturing digital twins . Publications span renewable energy systems , biomedical prosthetics , and aeroelastic power sources . He oversees Clarkson's wind tunnel facility and mechanical testing labs , and founded the A-TEAMS committee for academic test equipment safety. Industry collaborations include co-developing Solinsky Challenge microcredentials in manufacturing analytics. Contact: choover@clarkson.edu Office: 264 CAMP Building, Clarkson University

Strahinja DosenView profile

Professor

• Rehabilitation Engineering
• Robotics
• Myoelectric Control
• +6 more

Strahinja Dosen is a Professor and Head of Research Group in the Department of Health Science and Technology at Aalborg University's Faculty of Medicine. His research focuses on neurorehabilitation systems, particularly in rehabilitation engineering, robotics, and human-machine interfaces. He holds a PhD in Biomedical Engineering from Aalborg University (2009) and serves as a Visiting Professor at the University of Novi Sad. His work addresses cutting-edge topics like myoelectric control, brain-machine interfaces, artificial sensory feedback, and functional electrical stimulation. Key projects include the development of closed-loop robotic prostheses and sensory feedback systems for amputees. Dosen has led over 17 research projects, including the PERSONIFY initiative on powered ankle prosthesis control and the DexterHand bionic prosthetics platform. With 216+ publications, his research emphasizes improving prosthetic control through electrotactile/haptic feedback, 5G-enabled bionic limbs, and stroke rehabilitation robotics. He collaborates internationally on neurorehabilitation technologies and has been featured in media for innovations like thought-controlled prosthetics and robotic rehabilitation systems. Grants and collaborations include EU-funded projects and industry partnerships. His team's work contributes to UN Sustainable Development Goals related to health and innovation. Dosen advises on 6 PhD students and actively participates in academic workshops and editorial roles in haptics and prosthetics.