Find Academic Supervisors

José del R. MillánView profile

Professor

• Brain-machine Interfaces (BMI)
• Neuroengineering
• Neuroprosthetics
• +6 more

Dr. José del R. Millán is a Professor and holds the Linda Steen Norris & Lee Norris Endowed Chair in Neuroengineering at The University of Texas at Austin's Chandra Family Department of Electrical and Computer Engineering. He also serves as a Professor in Dell Medical School's Department of Neurology, a courtesy Professor in Biomedical Engineering, and is affiliated with the Mulva Clinic for the Neurosciences, Institute for Neuroscience, Texas Robotics, and the UT CARE Initiative. His work focuses on brain-machine interfaces (BMI), neuroprosthetics, and translating BMI technologies for individuals with motor/cognitive disabilities and able-bodied users. Education: PhD in Computer Science (1992, Technical University of Catalonia). Previous roles include Defitech Foundation Chair in Brain-Machine Interface at EPFL (Switzerland) and visiting scholar positions at Berkeley, Stanford, and the International Computer Science Institute. Research Interests: Neuroengineering, BMI applications in healthcare and assistive robotics, statistical machine learning for neural signals, and neurorehabilitation. Key contributions include EEG-based BMI systems, closed-loop neurostimulation, and wearable neurotechnology. Awards: IEEE Fellow (2017), Norbert Wiener Award (2011), and Fellow of the International Academy of Medical and Biological Engineering (2020). Grants & Labs: Co-director of UT CARE, leader in clinical neuroprosthetics and neurorobotics. Active in developing BMI-driven wheelchairs, VR integration for BCI, and EEG-based speech prosthetics. Research outputs emphasize translational neurotechnology, with projects funded by industry and governmental agencies. Labs/Teams: Clinical Neuroprosthetics & Brain Interaction Lab, Texas Robotics, Wireless Networking and Communications Group (WNCG).

Kara LeyzacView profile

Associate Professor

• Cochlear Implants
• Hearing Loss
• Auditory Prosthetics
• +3 more

Kara Leyzac is an Associate Professor in the Department of Otolaryngology - Head and Neck Surgery at the Medical University of South Carolina . Her work focuses on cochlear implants and hearing loss, with particular emphasis on optimizing implant function and understanding cochlear health's role in auditory outcomes. She holds dual doctoral degrees (AuD/PhD) and is affiliated with the MUSC College of Medicine. Research interests include cochlear implant efficacy, neural health preservation, and patient decision-making regarding implantation. Her work spans clinical trials (e.g., phantom percept treatments) and systematic reviews of long-term outcomes. Over 37 publications highlight contributions to auditory neuroscience, implant design, and rehabilitation strategies. No scientific awards were explicitly mentioned in the provided texts. Advising and grants sections remain unspecified due to lack of detailed information. Active research areas include electrode placement effects, auditory training protocols, and patient-specific outcomes in adult cochlear implant users.

Aaron M. DollarView profile

Professor

• Robotics
• Mechatronics
• Robotic Grasping and Manipulation
• +5 more

Aaron M. Dollar is the Frederick W. Beinecke Professor of Mechanical Engineering at Yale University, affiliated with the Yale Grab Lab. His research focuses on robotics, mechatronics, robotic grasping, and prosthetics, emphasizing adaptive mechanisms and human-robot interaction. He holds a PhD from Harvard University (2008) and degrees from UMass Amherst. Key research areas include dexterous manipulation, underactuated mechanisms, and assistive devices. His work bridges theory and practical applications, with contributions to prosthetic hands, robotic hands, and modular robotics systems. Recipient of prestigious awards: TR35 Innovator (2010), NSF CAREER Award (2010), DARPA Young Faculty Award (2013), and Air Force Young Investigator Award (2011). Developed the Yale MyoAdapt Hand, a single-actuator prosthetic with high functionality. Pioneered methods in real-to-sim transfer, modular lattice printing, and energy-aware robotic exploration. His lab, the Yale Grab Lab, explores robotics, prosthetics, and human motion analysis. Recent projects include autonomous calibration systems (ARC-Calib) and low-cost robotic hardware (RB5 Explorer).

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.

Yunlan ZhangView profile

Assistant Professor

• Architected Materials
• Mechanical Metamaterials
• Deployable Structures
• +3 more

Yunlan (Emma) Zhang is an Assistant Professor in the Department of Civil, Architectural, and Environmental Engineering at the University of Texas at Austin, part of the Cockrell School of Engineering. Her research focuses on architected materials, deployable structures, nature-based solutions, and extraterrestrial materials. She holds a B.S. from The Ohio State University (2012), M.S. and Ph.D. from Purdue University (2014, 2019), and completed a postdoc at the University of Oxford (2022). Her work bridges mechanical metamaterials with biomedical and environmental applications, including deployable medical devices and sustainable infrastructure. Education: B.S., The Ohio State University, 2012 M.S., Purdue University, 2014 Ph.D., Purdue University, 2019 Postdoc, University of Oxford, 2022 Her research interests emphasize biomimetic materials inspired by natural systems (e.g., avian feathers) and their translation into engineered solutions. Current projects include developing lightweight superalloys for aerospace, shape-memory materials for medical devices, and artificial reefs for marine conservation. She leads the UT Metamaterials and Advanced Structures Lab (UTMASLab), accessible at https://sites.utexas.edu/utmaslab/ . Recent publications explore novel applications of architected materials in healthcare, disaster-resistant structures, and environmental sustainability. Her work frequently appears in top journals across mechanical engineering, materials science, and biomedical engineering disciplines.

Francesca RodinoView profile

Research Fellow

• Electrochemical Biosensors
• Therapeutic Drug Monitoring
• Precision Oncology
• +4 more

Francesca Rodino is a Doctoral Assistant and Research Fellow at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Engineering and the Electrical and Microengineering Institute (IEM). She conducts research at the BCI Lab in Neuchâtel, focusing on electrochemical biosensors and precision oncology platforms. She is concurrently pursuing a PhD in Microsystems and Microelectronics (EDMI program) at EPFL. Education: B.Sc. in Biomedical Engineering, Politecnico di Torino (2019) M.Sc. in Biomedical Instrumentation, Politecnico di Torino (2022) Research Focus: Her work integrates electrochemical sensors, machine learning, and microsystems for therapeutic drug monitoring and biomedical diagnostics. Key areas include: (1) Multi-drug quantification using intelligent sensors for personalized cancer therapy, (2) Machine learning-driven optimization of electrochemical detection, (3) Microfluidic platforms for disease diagnosis (e.g., malaria), and (4) Wearable systems for neural prosthetics. Her research bridges biomedical engineering, electronics, and data science to advance precision medicine. Publication Trends: Recent articles (2022-2024) demonstrate strong emphasis on electrochemical sensors enhanced by machine learning for pharmaceutical monitoring, particularly in oncology. Secondary themes include microfluidic diagnostics, wearable medical devices, and environmental sensors. Over 85% of publications involve interdisciplinary collaborations, reflecting integration of engineering, computational methods, and clinical applications. Teaching & Leadership: Teaching Assistant for Bio-nano-chip design (EE-517) and MEMS practicals II (MICRO-503) EPFL team coach for international SensUs biotechnology competition

• Biomedical Engineering
• Biofabrication
• Tissue Engineering
• +7 more

Professor Mia Woodruff is a leading academic at Queensland University of Technology (QUT), holding the position of Professor in the School of Mechanical, Medical and Process Engineering within the Faculty of Engineering. She is the Group Leader of the Biofabrication and Tissue Morphology Group and Acting Director of the Herston Biofabrication Institute. Her research focuses on biofabrication, tissue engineering, and 3D printing applications in medicine, particularly in bone regeneration, vascular surgery, and personalized prosthetics. Woodruff holds a PhD in Materials Engineering from the University of Nottingham, UK. She has led over $40 million in external grants, including ARC and Advance Queensland funding. Her work emphasizes translating biofabrication technologies into clinical practice, such as developing patient-specific implants and surgical tools. She has published over 120 peer-reviewed articles and co-founded initiatives like the Herston Biofabrication Institute to bridge clinical, research, and industry collaboration. Key research areas include composite biomaterials, 3D scanning/modelling, electrospinning, and large-animal models for bone regeneration. She has been awarded the QUT Vice Chancellor’s Research Fellowship and ARC Fellowship. Her outreach efforts include promoting STEM through media appearances and school programs, such as the 3D Printing in All High Schools initiative. Grants & Awards $40M Innovation Manufacturing CRC (Co-Investigator) $3.72M ARC Industrial Transformation Training Center (Additive Biomanufacturing) Advance Queensland Fellowships ($1.2M Cluster Grant for Biofabrication) Media & Engagement Featured in SCOPE TV, SBS The Feed , and ABC News Keynote speaker at global conferences (e.g., TERMIS, ORS) Research Infrastructure Herston Biofabrication Institute: Integrates 3D printing, clinical trials, and patient collaboration World-first Biofabrication Master’s program launched in 2014

Robert D. Gregg, IVView profile

Associate Professor

• Wearable Robots
• Legged Robots
• Prosthetics & Orthotics
• +3 more

Robert D. Gregg, IV is a Professor of Mechanical Engineering, Robotics, and Electrical & Computer Engineering at the University of Michigan. He serves as Associate Director for Graduate Education at Michigan Robotics and directs the Locomotor Control Systems Laboratory. His research focuses on control systems for wearable robots, prosthetics, and orthotics, emphasizing biomimetic principles and nonlinear control theory. Gregg holds a PhD from the University of Illinois at Urbana-Champaign (2010) and prior academic roles at the University of Texas at Dallas and Northwestern University. Education: PhD, Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 2010 MS, Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 2007 BS, Electrical Engineering and Computer Sciences, University of California, Berkeley, 2006 Research Interests: Gregg’s work spans control mechanisms for bipedal locomotion, wearable robotics, nonlinear control theory, and rehabilitation engineering. His lab develops high-performance control systems for prosthetic legs and exoskeletons to enhance mobility for individuals with disabilities. Key areas include energy-efficient control strategies, adaptive impedance systems, and biomechanical modeling of human movement. Grant & Award Highlights: $3M NIH R01 Grant (2023): Modeling and control of agile powered prosthetic legs for varied activities. $1.7M NIH R01 Grant (2021): Modular powered orthoses for broad patient populations. NSF CAREER Award (2017) NIH New Innovator Award (2013) Advising & Labs: Gregg mentors PhD students in robotics and biomechanics, emphasizing independent research and collaborative team environments. His lab supports over 15 researchers and has produced notable alumni like Dr. Cara Welker (University of Colorado Boulder faculty). The lab’s work is supported by NIH, NSF, and industry partnerships. Recent Contributions: Recent work includes phase-variable control for stair climbing, energy shaping methods for exoskeletons, and open-source robotic leg platforms. Gregg also chairs major robotics conferences (e.g., IROS 2023) and advises on clinical translation of wearable robotics.

Horst A. von RecumView profile

Professor

• Drug Delivery Systems
• Biomedical Engineering
• Stem Cell Differentiation
• +4 more

Horst A. von Recum, PhD, is the Executive Vice Chair of the Case School of Engineering and a Professor in the Department of Biomedical Engineering at Case Western Reserve University. He is also a member of the Cancer Imaging Program at the Case Comprehensive Cancer Center. His research focuses on developing novel platforms for molecular and cellular delivery, including affinity-based systems for controlled drug release and directed stem cell differentiation. Key applications include HIV therapies, wound healing, ocular disease treatments, and tissue engineering. His work emphasizes improving drug delivery precision through molecular interactions and enhancing stem cell viability for therapeutic use. Dr. von Recum’s research interests span drug delivery systems, biomaterials science, and regenerative medicine. His lab explores cyclodextrin polymers for sustained antibiotic release, affinity-driven drug refilling mechanisms, and engineering biocompatible materials to combat implant-related infections. Recently, his team has investigated microbiome interactions with neural implants and developed polymer-based solutions for localized chemotherapy. Notable contributions include advancements in PMMA bone cement composites for drug refillable depots, cyclodextrin hydrogels for controlled release, and affinity-based systems for anti-fibrotic treatments. His work bridges materials science with clinical applications, addressing challenges in orthopedic infections, neural interfaces, and cardiovascular regeneration. Scientific achievements include over 100 peer-reviewed publications. Research funding has supported projects on antimicrobial coatings, drug delivery mechanics, and stem cell differentiation. Dr. von Recum collaborates across disciplines to translate biomaterial innovations into clinical solutions.

• Microelectronics
• Biomedical Engineering
• Neural Prosthetics
• +3 more

Matthias Kuhl is a Professor at the Institute of Microsystems Technology (IMTEK) at the University of Freiburg since April 2022. He leads research projects focused on neural probes, biomedical implants, and integrated microelectronic systems. His work includes developing low-power neural interfaces, stress sensors, and energy-efficient circuits for medical applications. Research Interests Neural probes with electronic depth control Implantable biomedical devices CMOS integrated sensors and actuators Energy harvesting for autonomous systems Microfabrication and 3D-printed electronics Key Projects Advanced EDC: Intracortical neural probes with electronic depth control ComBiNE: Bidirectional neural exchange components SEAM-WiT: Implantable neural probe transceivers Multi-material 3D-printed electronics His recent publications emphasize low-power neural front-ends, stress sensor integration, and biomedical system design. He advises numerous graduate students on topics ranging from CMOS circuit design to biohybrid systems. Labs & Teams He leads the Professur für Mikroelektronik lab, specializing in microelectronic systems for biomedical and industrial applications. Collaborates with orthodontic, neurobiology, and materials science groups.

Mario A. SvirskyView profile

Professor

• Auditory Neuroscience
• Cochlear Implants
• Speech Perception
• +3 more

Mario A. Svirsky is the Noel L. Cohen Professor of Hearing Science and Professor of Neuroscience at NYU Grossman School of Medicine. He leads the Laboratory for Translational Auditory Research, focusing on auditory neural prostheses like cochlear implants and their impact on speech perception and neuroplasticity. His work bridges clinical care and scientific discovery, addressing how the brain adapts to sensory deprivation and degraded auditory input. Education: PhD in Biomedical Engineering from Tulane University (1988). Postdoctoral training at MIT and prior academic appointments at Indiana University and Purdue University before joining NYU in 2005. Research: Explores cochlear implant performance optimization, speech perception in hearing-impaired individuals, and neuroplasticity mechanisms. Collaborates with the Froemke Lab on animal models of cochlear implantation. Active in developing computational models and signal processing techniques to improve implant efficacy. Funding: Principal investigator on multiple NIH grants (e.g., R01 DC016839, R01 DC016834) and industry partnerships. His lab’s work has advanced clinical management strategies for cochlear implant users, including those with contralateral hearing aids. Labs/Teams: Directs the Laboratory for Translational Auditory Research, collaborating with multidisciplinary teams including engineers, neuroscientists, and clinical audiologists. Mentors postdocs, audiologists, and medical students in auditory research.

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.

• Artificial Intelligence
• Smart Cities
• Sensor Technology
• +5 more

Cormac Fay is a Research Fellow in Artificial Intelligence for Smart Cities at the School of Computing and Information Technology (SCIT), University of Wollongong, within the Faculty of Engineering and Information Sciences. His roles include affiliations with the SMART Infrastructure Facility and the ARC Centre of Excellence for Electromaterials Science. Previously, he held positions at Dublin City University, including post-doctoral roles in sensor research and data analytics. He holds a PhD in Engineering from Dublin City University (2013), an M.Eng. in Telecommunications Engineering (2007), and a B.Eng. in Mechatronic Engineering (2005). His research focuses on AI-driven smart city technologies, sensor systems for environmental monitoring, and advanced 3D printing materials. Key areas include IoT-enabled carbon-emission tracking, wearable biomedical devices, and sustainable sensor networks for landfill gas management. He has developed innovative solutions such as cryogenic 3D printing techniques for biocompatible inks and LED-based optical sensing platforms. Dr. Fay has secured grants totaling over $X million, including projects on military diver monitoring, blue carbon ecosystems, and low-cost sensor networks for agriculture and environmental safety. His work integrates interdisciplinary approaches, bridging materials science, biomedical engineering, and environmental engineering. Grants: Led projects on carbon-emission IoT systems, oyster farming sensors, and vibration monitoring. Supervision: Advised a Master's project on biomimetic microfluidic fabrication (2017–2019). Labs/Teams: Collaborates with the SCIT, SMART Infrastructure Facility, and global institutions like École Polytechnique Fédérale de Lausanne.

Ramana VinjamuriView profile

Associate Professor

• Brain-Machine Interfaces
• Neuroprosthetics and Exoskeletons
• Machine Learning
• +4 more

Ramana Vinjamuri is an Associate Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). He holds a secondary appointment as Visiting Professor at the Indian Institute of Technology, Hyderabad, India. His academic journey includes a Ph.D. in Electrical Engineering from the University of Pittsburgh (2008), M.S. in Bioinstrumentation from Villanova University (2004), and B.Tech. in Electrical and Electronics Engineering from Kakatiya University (2002). Dr. Vinjamuri's research focuses on Brain-Machine Interfaces (BMIs) for upper-limb prostheses control , neuroprosthetics and exoskeletons , machine learning in motor control , and neurophysiological signal processing . His work extends synergy-based models to control 37-dimensional hand movements, addresses human-robot interaction through emotionally intelligent systems, and develops neurotechnologies for substance use disorder using wearable sensors and AI. NSF CAREER Award (2019) NSF IUCRC BRAIN Center Planning Grant (2020) Harvey N Davis Distinguished Teaching Assistant Professor Award (2018) His publications demonstrate expertise in EEG and EMG signal analysis , deep learning for motor decoding , synergy modeling , and humanoid robot control . The Vinjamuri Lab at UMBC involves graduate, undergraduate, and high school researchers, with international collaborations in India and the US.

Nathalia PeixotoView profile

Associate Professor

• Neural Engineering
• Brain-Computer Interfaces
• Biomedical Sensors and Actuators
• +4 more

Nathalia Peixoto is an Associate Professor in the Department of Electrical and Computer Engineering and Affiliate Faculty in Bioengineering at George Mason University. Her work bridges neural engineering, biomedical applications, and assistive technology development with international collaborations across Israel, Ireland, Peru, and Korea. Educational background: PhD in Electrical Engineering, Universidade de Sao Paulo MS, University of Campinas Research Interests: Dr. Peixoto specializes in neural engineering with focus on brain-computer interfaces using wearable devices. Her lab develops: Neural prosthetics and implantable systems Bioimpedance-based medical sensors Low-cost electrophysiological recording platforms Community-centered engineering design solutions Publication Trends: Her 2022-2025 publications demonstrate strong interdisciplinary convergence between neuroscience, biomedical engineering, and AI. Key trends include machine learning for seizure detection in zebrafish models, electrochemical optimization of neural interfaces, and community-engaged design projects addressing societal challenges through transdisciplinary graduate training. Grants and Projects: Principal investigator for multiple NSF-funded initiatives: NRT-HDR: Transdisciplinary Graduate Training (2019-2024) Smart and Connected Communities: Networked Devices (2017-2019) Bioimpedance for retinal implants (2015-2017) C2MW: Classroom to Makers Week (2015-2016) Additional funding from VA STEM CoNNECT and Longwood University. Laboratory: The Neural Engineering Lab integrates chemistry, physics, and engineering disciplines through team-based projects involving high school to graduate students. Current work includes sustainable food-waste solutions, tremor-capturing robots for low-resource areas, and neural implants with international academic partnerships.