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Ismael SeáñezView profile

Assistant Professor

• Machine Learning & Artificial Intelligence
• Neural Engineering
• Neuroprosthetics
• +3 more

Ismael Seáñez is an Assistant Professor in the Department of Biomedical Engineering at Washington University in St. Louis (WashU), joining the university in March 2021. He holds a PhD from Northwestern University (2016) and previously served as a Whitaker International Postdoctoral Fellow at EPFL in Switzerland and Head of the Translational Division at the NeuroRestore Defitech Center. His research focuses on developing neuro-rehabilitation tools and body-machine interfaces (BoMIs) to enhance mobility recovery for individuals with neurological disorders. The Seáñez Lab prioritizes improving assistive devices, neuroprosthetics control, and accessible rehabilitation therapies. Recent work includes advancements in spinal cord stimulation via neural decoding (2025) and cost-effective therapies (2023). He secured a Collaboration Initiation Grant in 2024 to foster interdisciplinary research. His academic trajectory includes leadership roles in translational neuroengineering and a commitment to bridging clinical and engineering innovation.

B.J. FreglyView profile

Professor

• Biomedical Engineering
• Mechanical Engineering
• Computational Modeling
• +3 more

B.J. Fregly is a Professor of Mechanical Engineering & Bioengineering at Rice University, holding the title of CPRIT Scholar in Cancer Research. He serves as College Magister of Brown College. His expertise spans computational neuromechanics, orthopedic surgery optimization, and neurorehabilitation engineering. He has secured over $11M in research funding from NSF, NIH, NASA, and CPRIT. Education: B.S. (Princeton, 1986), M.S. (Stanford, 1987), Ph.D. (Stanford, 1993), all in Mechanical Engineering. Research focuses on patient-specific neuromusculoskeletal models to optimize treatments for movement disorders. Key projects include designing surgical plans for pelvic sarcoma, robotic neurorehabilitation for stroke patients, and exercise protocols for astronauts. His NASA-funded work addresses muscle mass preservation during Mars missions, while NIH grants target personalized FES therapy for stroke recovery. Awards: NSF CAREER Award, CPRIT Scholar, Teacher of the Year (University of Florida). Advises graduate students in Rice’s Computational Neuromechanics Lab. Current grants include CPRIT-funded pelvic implant design, NIH exoskeleton control systems, and NASA Mars mission studies. His lab integrates biomechanics, robotics, and computational optimization to advance clinical outcomes.

Cindy Hsin-Liu KaoView profile

Assistant Professor

• Human-Computer Interaction
• Human-Robot Interaction
• Wearable Technology
• +4 more

Cindy Hsin-Liu Kao is an Assistant Professor in the Department of Design + Environmental Analysis at Cornell University. Her research focuses on human-centered design of wearable technologies, blending aesthetics and cultural perspectives into on-body interfaces. She leads Cindy's Lab , exploring topics like biodegradable e-textiles, sweat-sensing systems, and modular wearable frameworks. Dr. Kao earned a Ph.D. from the MIT Media Lab, followed by a Master's in Computer Science and dual Bachelor's degrees in Computer Science and Technology Management from National Taiwan University. Prior to academia, she worked at Microsoft Research developing cosmetics-inspired wearables. Her research interests span Hybrid Body Craft , emphasizing culturally inclusive design for wearables. Notable projects include texTENG (self-powered sensors) and MediKnit (medical-grade wearable devices). She has exhibited work globally, including at the Boston Museum of Fine Art and Dutch Design Week. Her work has garnered awards such as the ACM CHI Best Paper Honorable Mention and Fast Company Innovation by Design Finalist . Current projects investigate sustainable materials ( EcoThreads ) and collaborative robotics ( Weaved Inflatable Barriers ). Dr. Kao's lab actively explores intersections between technology and culture, with a focus on democratizing wearable prototyping through toolkits like SkinKit .

Amos WinterView profile

Professor

• Biomechanics
• Mechanical Design
• Global Development Engineering
• +7 more

Professor Amos Winter is the Germeshausen Professor in Mechanical Engineering at the Massachusetts Institute of Technology (MIT). He directs the K. Lisa Yang Global Engineering and Research (GEAR) Center, focusing on creating high-performance, low-cost technologies for emerging markets through interdisciplinary engineering science. His work spans water purification, prosthetics, agricultural systems, and transportation solutions. Education: B.S. in Mechanical Engineering from Tufts University (2003), S.M. and Ph.D. from MIT (2005, 2011) Labs: Founder and Director of MIT Mobility Lab (2007-2012), GEAR Center PI Winter’s research combines biologically-inspired design with mechanical and product development, emphasizing constraints-driven innovation. His projects include a solar-powered desalination system for rural India, the Leveraged Freedom Chair for off-road mobility, and smart drip irrigation systems for water-stressed regions. His publications analyze biomechanical interactions, adaptive robotics, and reverse innovation frameworks. Recent projects focus on time-variant desalination systems, low-pressure drip emitters, and energy-efficient agricultural technologies. These align with his expertise in mechanics, fluid dynamics, and cross-cultural technology transfer. Winter has received numerous honors including the 2025 Bose Award for Excellence in Teaching, the 2017 NSF CAREER Award, and the 2015 USAID Desal Prize. He was named to the TR35 list in 2013 and earned multiple design accolades for humanitarian technologies. As a co-founder of Global Research Innovation and Technology (GRIT), Winter bridges academic research with real-world implementation. He teaches Design and Manufacturing (2.007) and Global Engineering (2.76) at MIT, while advising startups and mentoring students through initiatives like the MIT Formula SAE Team.

Albert KimView profile

Associate Professor

• Biomedical Engineering
• BioMEMS
• Nanotechnology
• +3 more

Albert Kim is an Associate Professor in the Department of Medical Engineering at the University of South Florida, affiliated with the College of Engineering and Morsani College of Medicine. His research focuses on biomedical applications of MEMS and nanotechnology, particularly developing implantable medical devices to address clinical challenges through interdisciplinary collaboration with physicians. He teaches BME 6931: Fundamental and BioMEMS and has received prestigious awards including the NSF CAREER Award (2022) and the Blavatnik Award Finalist recognition (2018). Education: Ph.D., M.S., B.S. in Electrical and Computer Engineering (Purdue University, 2008-2015) Research Interests: Kim’s work integrates engineering principles with medical needs to create innovative solutions such as smart stents for cardiovascular monitoring, piezoelectric biomaterials for anti-infective applications, and ultrasonic-powered implantable devices. His projects emphasize translational research, bridging laboratory innovations to clinical practice. Grants & Funding: He leads or co-leads several NSF and NIH grants totaling over $4 million, including initiatives on acousto-bioelectronics, smart dental implants, and antimicrobial biomaterials. Recent grants include NSF CNS Core funding for intrabody networks and NIH support for peri-implant disease prevention. Publications: His research spans bioMEMS, implantable systems, and energy harvesting, with recent contributions to ACS Materials Letters , IEEE Transactions on Biomedical Engineering , and Lab on a Chip . Key themes include omnidirectional ultrasound powering for microdevices and multifunctional smart stent designs. Awards: Beyond academic accolades, Kim has been recognized for teaching excellence, including the Eaton & Vashti Magoon Award (Purdue, 2013) and the USF BME Professor of the Year (2022-23).

Antonia ZaferiouView profile

Assistant Professor

• Biomechanics
• Human Movement Science
• Sports Medicine
• +3 more

Dr. Antonia Zaferiou is an Assistant Professor in the Department of Biomedical Engineering at Stevens Institute of Technology, where she directs the Zaferiou Lab. She holds dual appointments through her prior roles at Rush University Medical Center (Visiting Assistant Professor and Director of Sports Medicine Motion Analysis) and a postdoctoral fellowship at the University of Michigan. Her research focuses on movement mechanics, particularly transitional maneuvers balancing agility and stability, and real-time music biofeedback systems for training. Education: PhD (2015) in Biomedical Engineering, University of Southern California MS (2011) in Biomedical Engineering, University of Southern California B.E. (2010) in Mechanical Engineering, The Cooper Union Research Interests: Mechanics of turning maneuvers in clinical and athletic populations Sonification of biomechanical metrics for real-time feedback Wearable sensor technology for sports performance and rehabilitation STEAM education outreach to inspire future scientists Grants & Awards: NSF CAREER Award (2020-2025) for balance biofeedback systems Major League Baseball Research Grants (multiple projects) Presidential Fellow at Stevens (2022-2025) ASME Rising Star in Mechanical Engineering (2024) Lab & Outreach: The Zaferiou Lab develops biofeedback systems for applications in sports biomechanics, orthopedic rehabilitation, and aging populations. They host national outreach events like National Biomechanics Day to engage students in STEAM disciplines.

Dawn MacIsaacView profile

Associate Professor

• Biomedical Engineering
• Software Engineering
• Knowledge Engineering
• +1 more

Dr. Dawn MacIsaac is an Associate Professor in the Department of Computer Science at the University of New Brunswick’s Faculty of Computer Science, where she has served for over 14 years. She holds a PhD and Master of Science in Engineering from the same institution. Her research focuses on Biomedical Engineering, Software Engineering, Knowledge Engineering, and Signal Processing, particularly in the context of myoelectric control systems and biomedical signal analysis. Dr. MacIsaac has authored 49 peer-reviewed publications and supervised 25 graduate students. Her work emphasizes improving the performance and robustness of myoelectric prosthetics through advanced machine learning techniques, signal processing algorithms, and adaptive control strategies. Notable contributions include developing the Myosim 2.0 EMG simulation tool and pioneering self-supervised learning approaches for pattern recognition in unclear-label environments. She currently serves on the Editorial Board of the Journal of Electromyography and Kinesiology and is a Professional Engineer (PEng) registered with the Association of Professional Engineers and Geologists of New Brunswick (APEGNB). Her research bridges engineering and healthcare, addressing challenges in signal quality assessment, fatigue monitoring, and human-machine interface design. Key themes in her publications include enhancing EMG signal analysis for medical applications, optimizing control systems for prosthetic devices, and advancing methodologies for automated biosignal evaluation. Her interdisciplinary work impacts rehabilitation technology, clinical diagnostics, and biomedical instrumentation.

Yazhou TuView profile

Assistant Professor

• Cyber-Physical System Security
• Side Channel Analysis
• Sensing and Automation Security
• +3 more

Yazhou Tu is an Assistant Professor in the Department of Computer Science and Software Engineering at Auburn University. He specializes in Cyber-Physical System Security, Side Channel Analysis, and Privacy in embedded systems. His work focuses on addressing vulnerabilities in sensors, actuators, and IoT devices to enhance security and privacy in critical systems. Education: Ph.D. Computer Science, University of Louisiana at Lafayette M.S. Software Engineering, Tsinghua University B.S. Software Engineering, Wuhan University Research Interests: Dr. Tu’s research explores cutting-edge topics such as adversarial control of embedded systems, acoustic and magnetic side-channel attacks, and privacy risks in robotic and biomedical systems. He develops novel defense mechanisms like ADC-Bank and Transduction Shield to counteract physical signal injection attacks. Key Contributions: His work spans sensor security, IoT exploitation, and healthcare technology, with notable studies on 3D printer IP theft, vehicle control via smart glasses, and keystroke tracking via audio. He also investigates physics-informed ML for porous media and glucose monitoring systems. Awards & Grants: No specific awards or grants listed in the provided data, but his prolific publication record highlights sustained research excellence. Labs & Collaborations: Engaged in Auburn’s Center for Artificial Intelligence and Cybersecurity Engineering and other interdisciplinary initiatives focused on secure embedded systems and cyber-physical infrastructure.

Vinicius Prado da FonsecaView profile

Assistant Professor

• Robotics
• Tactile Sensing
• Robotic Manipulation
• +4 more

Vinicius Prado da Fonseca is an Assistant Professor in the Department of Computer Science at Memorial University of Newfoundland. His research focuses on advanced robotics, tactile sensing technologies, and human-robot interaction. His work integrates machine learning and artificial intelligence to improve robotic manipulation, prosthetic control, and haptic interfaces. Education background includes: Ph.D. in Electrical and Computer Engineering from University of Ottawa (2020) M.Sc. in Systems and Computing from Military Institute of Engineering, Brazil (2013) B.Sc. in Computer Science from Federal University of Tocantins, Brazil (2010) Research interests emphasize tactile perception systems, compliant robotic grippers, and bio-inspired sensor modules. Notable contributions include the BioIn-Tacto tactile sensing framework and studies on myoelectric control for upper-limb prosthetics. His work bridges theoretical machine learning with practical robotics applications in manufacturing, healthcare, and assistive technologies. Publications span over 30 peer-reviewed articles focusing on tactile datasets, sensor design, and robotic control algorithms. Recent trends show increasing emphasis on multimodal data fusion, active learning for sensor optimization, and human-centric robotics applications. Currently no listed scientific awards or grants, but maintains active collaborations in prosthetic development and industrial automation projects.

Patrick KielyView profile

Professor

• Cancer Biology
• Cell Migration
• Integrin Signaling
• +2 more

Patrick Kiely is Professor of Medicine at the University of Limerick's School of Medicine and Principal Investigator at the Health Research Institute and Limerick Digital Cancer Research Centre. His research focuses on cancer biology with emphasis on cellular migration mechanisms in tumor progression. Kiely investigates molecular pathways involving integrin signaling, scaffold proteins, and phosphorylation cascades that regulate cancer metastasis. Recent work examines collagen-mediated regulation of Annexin A2 in breast cancer and metabolic vulnerabilities in NSCLC. His research employs multi-omics approaches to identify therapeutic targets and diagnostic strategies across various cancers.

Janet DongView profile

Professor

• Robotics
• Autonomous Vehicles
• Advanced Manufacturing
• +4 more

Janet Dong is a Professor in Mechanical and Materials Engineering at the University of Cincinnati and Director of the UC Center for Robotics Research. Her work spans robotics, autonomous systems, and advanced manufacturing with applications in healthcare, space exploration, and urban infrastructure. She holds a PhD in Mechanical Engineering from Columbia University. Her research integrates: Autonomous vehicles and mobile robots Dynamic systems control Medical device innovation Industry 4.0/5.0 technologies Robotic exoskeletons and augmentation Her recent publications focus on practical robotics applications including lunar rovers, tick collection robots, medical exoskeletons, and urban maintenance systems. Research trends emphasize autonomous navigation, human-robot collaboration, space exploration technologies, and biomechanical augmentation. She leads multiple funded projects including a $1.29M Department of Energy grant for waste sorting automation and Ohio Bureau of Workers Compensation grants for human-robot safety. Her lab develops robotic solutions for lunar infrastructure, medical devices, and industrial automation.

Fatemehsadat TabeiView profile

Assistant Professor

• Machine Learning
• Smart Sensors
• IoT
• +3 more

Dr. Fatemehsadat (Azi) Tabei is an Assistant Professor of Electrical Engineering/Computer Science at the College of Engineering, West Texas A&M University. She holds a B.S. and M.S. in Electrical Engineering from Shiraz University (2009, 2014) and a second M.S. and Ph.D. from Texas Tech University (2020, 2021). Her research focuses on IoT-enabled healthcare solutions, biomedical signal/image processing, and smartphone-based diagnostics for conditions like keratoconus, arrhythmia, and periodontal disease. She is a co-investigator on two U.S. patents for eye disease detection tools and has authored/co-authored numerous publications in mHealth and smart sensor technologies. Dr. Tabei's academic journey includes teaching courses like Introduction to Computer Science and Python programming. She is an active member of IEEE and IEEE Women in Engineering. Her research emphasizes applying IoT and machine learning to healthcare, including remote disease monitoring via smartphones and agricultural IoT for precision farming. Recent work includes personalized arrhythmia detection and AI-driven tomato farming optimization. Dr. Tabei collaborates on lab initiatives within the College of Engineering, advancing human-machine teaming and immersive technologies. Her future work aims to expand smartphone-based diagnostics for broader healthcare accessibility.

WANG ZhisongView profile

Associate Professor

• Molecular Nanotechnology
• Biophysics
• DNA Nanotechnology
• +3 more

WANG Zhisong is an Associate Professor at the National University of Singapore, leading the Molecular Motors Lab. His research focuses on experimental development of artificial molecular motors, particularly translational motors that differ from rotational systems awarded the 2016 Nobel Prize in Chemistry, with applications in biomedical nanotechnologies and precision engineering. Research Interests: The lab specializes in DNA-based molecular motors powered by light or chemical fuels, combining biophysical/biochemical techniques with stochastic thermodynamics. Applications include nanorobotics, DNA origami platforms, nano-assembly lines, and autonomous motion systems. Publications: Recent work explores light-selective control of DNA motors (2024), advanced nanorobotics via DNA origami (2023), and theoretical limits in directional fidelity (2013). Themes span sustainable motion, color-responsive systems, and integration of molecular motors with structural DNA nanotechnology. Contact: Office S16-07-07, Tel +65 6516 2606, Email phywangz@nus.edu.sg.

• AI & Neuroscience
• Biomedical Engineering
• Neurotechnology
• +7 more

Aldo Faisal is a Professor of AI & Neuroscience at Imperial College London's Department of Bioengineering and Faculty of Engineering. He is also the Founding Director of the UKRI Centre for Doctoral Training in AI for Healthcare (£20M), leading the Faisal Lab. His roles include associate investigator at the MRC London Institute of Medical Sciences and affiliation with the Gatsby Computational Neuroscience Unit (UCL). His research bridges AI, neuroscience, and healthcare, focusing on neurotechnology, human behavior analysis, and clinical applications. Education: Studied Computer Science and Physics in Germany, followed by Biology at the University of Cambridge (Emmanuel College). Earned a PhD in Neuroscience under Simon Laughlin, and postdoctoral work with Daniel Wolpert on sensorimotor control. Prior professional experience includes roles at McKinsey & Co. and Credit Suisse. Research Interests: Combines cross-disciplinary approaches to study brain-behavior relationships, developing technologies for neurological disorders and amputees. Key labs include the Brain & Behaviour Lab (neurotechnology) and Behaviour Analytics Lab (behavioral data science). Techniques include machine learning, robotics, and neuroimaging (EEG/fNIRS). Publications: Over 100+ peer-reviewed articles, spanning AI in healthcare, motor learning, and neurotechnology. Recent work emphasizes safety of AI in critical care, wearable biomarkers for neuromuscular diseases, and human-AI collaboration. Awards: UKRI Turing AI Fellowship, Toyota Mobility Prize ($50k), Rosetree Interdisciplinary Award (£300k), and fellowships from German National Merit Foundation and Böhringer-Ingelheim Foundation. Elected to Global Futures Council (WEF, 2016). Grants & Labs: Leads £20M CDT in AI for Healthcare, £2M Turing Fellowship project, and manages labs at Imperial and University of Bayreuth (Germany). Collaborates with institutions like CRUK Convergence Science Centre and Data Science Institute.

Alejandro Melendez-CalderonView profile

Senior Lecturer

• Neurorehabilitation Engineering
• Biomedical Robotics
• Human Sensorimotor Control
• +3 more

Dr. Alejandro Melendez-Calderon is a Senior Lecturer at the University of Queensland (UQ), holding dual affiliations with the School of Electrical Engineering and Computer Science (primary appointment) and the School of Health and Rehabilitation Sciences. He also serves as a Principal Research Fellow at the Jamieson Trauma Institute, leading the Rehabilitation and Outcomes theme. With over 19 years of interdisciplinary experience in robotics, biomedical engineering, and clinical research, his work focuses on human augmentation technologies, neuromuscular control, and neurorehabilitation engineering. He earned his PhD in Robotics and Biomedical Engineering from Imperial College London (2011) and has held roles at institutions such as Northwestern University, ETH Zurich, and industry leader Hocoma AG. His lab, the NeuroEngineering, Rehabilitation and Medical Robotics Lab at UQ, develops innovative solutions for movement disorders, wearable robotics, and sensorimotor rehabilitation. Research interests include human-robot interaction strategies, computational modeling of motor control deficits, and clinical translation of assistive technologies. His recent work emphasizes adaptive robotic systems for gait training, competition-driven physical effort modulation, and sensor-based assessments for stroke and spinal cord injury populations. Publications highlight contributions to movement smoothness metrics, robotic exoskeleton control algorithms, and interdisciplinary frameworks for sensorimotor evaluation. Collaborations span academic, clinical, and industrial partners to bridge engineering innovation with clinical needs.