جستجوی استاد راهنمای دانشگاهی

Kevin De Pauw is a postdoctoral researcher at the Department of Physiotherapy, Human Physiology and Anatomy at Vrije Universiteit Brussel (VUB). He actively contributes to 12 research projects with a focus on robotics, mental fatigue, brain physiology, and sports physiotherapy. Current projects include Brubotics, APEX, and TBrainBoost Collaboration network spans Belgium, Germany, and Netherlands Key research themes: Mental Fatigue (100%), Robotics (100%), and Prosthetics (52%) Research Interests: His work explores the intersection of brain physiology, fatigue mechanisms, and robotics applications in rehabilitation. He develops predictive musculoskeletal simulations and investigates inter-limb asymmetry in athletes. Article Trends: Recent publications show increasing focus on robot-assisted rehabilitation , brain neuroplasticity , and mental fatigue quantification . Research combines AI-driven wearable robotics with neurophysiological monitoring . Student Supervision: He mentors Master's students in topics related to Lower limb asymmetry analysis Adolescent cognition-fitness relationships Exoskeleton interface design Laboratory Affiliation: Member of Brubotics and TBrainBoost teams at VUB, working on sustainable human-centered robotics and neurocirculation enhancement technologies.

• Mental Fatigue
• Human Physiology
• Sports Physiotherapy
• +۶ مورد دیگر

Minsu Liu serves as a Senior Research Fellow at Monash University's Suzhou campus under the Office of the Pro Vice-Chancellor and President, actively supervising PhD students and maintaining a robust research profile with 40+ publications since 2014. His academic foundation includes a PhD in Chemical Engineering (awarded March 2018) and a Bachelor of Engineering (Honours) in Chemical Engineering (awarded March 2013), establishing expertise in advanced materials development. Dr. Liu's research spans Materials Science and Chemical Engineering , focusing on sustainable technologies that advance UN Sustainable Development Goals. Key contributions include: Thermal management solutions using 2D materials for energy-efficient buildings Electrochromic smart windows enabling dynamic radiative cooling Graphene-based neural interfaces for biomedical applications Innovative battery and hydrogen storage technologies Analysis of his 2023-2025 publications reveals a strategic emphasis on boron nitride and graphene composites, with fabrication breakthroughs in 3D printing and wet-spinning techniques driving applications in energy conservation and healthcare diagnostics. He currently contributes as Associate Investigator to the $5$-year project 'Development of direct reduction technologies based on fluidized bed systems' (2024-2029), while mentoring the next generation of researchers through PhD supervision. Though specific laboratory infrastructure isn't detailed in source materials, his extensive collaborations across materials engineering and sustainable technology domains indicate leadership in multidisciplinary research teams addressing global energy challenges.

• Materials Science
• Chemical Engineering
• Nanotechnology
• +۳ مورد دیگر

Salvador Pané Vidal is a Lecturer at the Department of Mechanical and Process Engineering at ETH Zurich, affiliated with the Institute for Robotics and Intelligent Systems. His work focuses on robotics, intelligent systems, and biomedical engineering applications. Contact: vidalp@ethz.ch

• Robotics
• Intelligent Systems
• Micro-robotics
• +۳ مورد دیگر

Ali Tavallaei serves as an Assistant Professor at Toronto Metropolitan University since 2019 and concurrently holds a Visiting Scientist position at Sunnybrook Research Institute. He is also the President and Co-founder of Magellan Biomedical Inc. (2018-present) and Vital Biomedical Technologies Inc. (2012-present), demonstrating strong industry engagement in medical device commercialization. His academic foundation includes: Ph.D. in Biomedical Engineering from Western University (2010-2015) Medical Innovation Fellowship at University of Minnesota/Western University (2015-2016) Postdoctoral Fellowship at Sunnybrook Research Institute, University of Toronto (2016-2019) Dr. Tavallaei's research centers on image guided therapy with emphasis on solving unmet clinical needs in minimally invasive interventions. His core focus areas include: Cardiovascular device innovation and evaluation Medical imaging instrumentation for real-time guidance Robotic systems for catheter navigation Mechatronic solutions for therapeutic delivery His work bridges engineering design with clinical translation through preclinical and clinical validation. Recent publications (2023-2026) reveal a concentrated effort in developing next-generation catheter technologies, including steering mechanisms (CathPilot), imaging tools (CathEye, CathCam), and specialized devices for vascular interventions. The research consistently emphasizes performance validation, mechanical characterization, and clinical feasibility across peripheral artery disease, aneurysm repair, and cardiac ablation applications. As director of the Medical Devices and Systems Lab, Dr. Tavallaei leads a translational research program focused on fundamental advances in cardiovascular disease management. The lab's workflow integrates solution design, system verification, preclinical testing, and technology transfer to address global healthcare challenges posed by cardiovascular diseases—the leading cause of death worldwide.

• Image Guided Therapy
• Cardiovascular Interventions
• Medical Imaging Instrumentation
• +۳ مورد دیگر

Alice Haynes is a Digital Futures Postdoctoral Fellow at KTH Royal Institute of Technology, working on the Felt Connections project under the Division of Media Technology and Interaction Design . She collaborates with Prof. Kristina Höök and Associate Prof. Iolanda Leite to create shape-changing textile interfaces that foster meaningful bodily interactions for children and adults. Education PhD in Engineering Mathematics, University of Bristol (2022) Specialization in Soft Robotics and Haptic Interfaces Her research blends soft robotics, e-textiles, and soma design to develop tactile technologies that prioritize bodily engagement over traditional visual/auditory interfaces. Current work explores: first-person design for scoliosis, symmetry-asymmetry dynamics in bodily interactions, and soma-driven methods that emphasize felt experiences. Key article trends include shape-changing textiles (SMA-actuated smocking, machine embroidery), emotional/therapeutic applications (anxiety relief, social touch), and multisensory integration (audio-tactile mappings, biosignal interaction). Scientific Contributions Recipient of Digital Futures Postdoctoral Fellowship Co-design methodologies for child-centered technology Material-driven evaluation frameworks for e-textiles Embodied interaction paradigms through haptic cushions Alice teaches Human-Computer Interaction Research Seminars (DH2632) and Media Technology and Interaction Design (DM2601) , while actively seeking Master's students for collaborative thesis work.

• Human-Computer Interaction
• Soft Robotics
• E-Textiles
• +۶ مورد دیگر

Dr. Xiaoguang Dong is an Assistant Professor in the Department of Mechanical Engineering at Vanderbilt University , School of Engineering. He received his Ph.D. (2019) and M.S. (2016) from Carnegie Mellon University, and B.S. (2013) from Harbin Institute of Technology. His research focuses on miniature soft robotics , swarm robotics , and intelligent soft materials for biomedical, microfluidic, and biomechanical applications. Design of shape-morphing soft robots for minimally invasive medicine Development of magnetic microrobot swarms for cooperative tasks Integration of machine learning with mechanics for smart material design Recent publications highlight advancements in wireless medical robots for drug delivery, biofluid pumping, and tissue sensing, with works in Science Advances , Nature Communications , and PNAS . He has received significant recognition including the 2025 NSF CAREER Award and 2024 Med-X Young Investigator Award . 2022 Spring: Dynamics (ME 2190) 2023 Fall: Miniature Robotics 2014-2015: Teaching assistant at Carnegie Mellon University

• Medical Robotics
• Soft Robotics
• Swarm Robotics
• +۴ مورد دیگر

Jon Heiselman is a Research Assistant Professor in the Department of Biomedical Engineering at Vanderbilt University School of Engineering. He serves as Associate Director of the Master of Engineering in Surgery and Intervention Program and leads research in image-guided surgical technologies. His work focuses on soft tissue deformation modeling, augmented reality applications, and computational frameworks for precision surgery. Education: PhD in Biomedical Engineering (Vanderbilt University, 2020) Advisor: Michael Miga, Harvie Branscomb Professor Research interests span image-guided surgical navigation, deformable registration algorithms, and digital twin modeling for therapeutic forecasting. Articles highlight advancements in soft tissue deformation correction, augmented reality integration, and machine learning approaches for real-time surgical guidance. Current affiliations include Vanderbilt's Biomedical Modeling Laboratory (BML) and the VISE Steering Committee. He contributes to NIH-funded training programs and has received recognition for his work in surgical data science and computational oncology.

• Biomedical Engineering
• Image-Guided Surgery
• Surgical Navigation
• +۳ مورد دیگر

Xiaoting Jia is a Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. Her research focuses on advanced functional fibers with applications in biomedical devices, optoelectronics, and neurotechnology. She holds affiliations including the Virginia Tech College of Engineering and maintains an active scholarly profile with collaborations in materials science and neural interfacing. Education : Ph.D., Massachusetts Institute of Technology (2011) M.S., Stony Brook University (2006) B.S., Fudan University (2004) Research Interests : Development of multifunctional fibers for neural recording and stimulation Optically and magnetically controlled power electronics Bio-inspired flexible materials and wearable sensors Neuropharmacological studies using fiber-based probes Her recent work emphasizes hybrid fiber systems combining electrical, optical, and chemical functionalities for biomedical applications. Over 150 peer-reviewed articles demonstrate contributions to neural interfaces, energy harvesting, and advanced fiber fabrication techniques. Awards and service roles are pending specific documentation. Grants & Labs : Led projects in National Science Foundation-funded neural engineering initiatives Collaborated with industry partners on fiber-optic sensor commercialization

• Neural Interfacing
• Biomedical Engineering
• Optical Fibers
• +۵ مورد دیگر

Professor Wendy Moyle is a leading academic in dementia care and assistive technologies, affiliated with Griffith University in the School of Nursing and Midwifery . With a PhD from Queensland University of Technology and over 27 completed PhD supervisions, she has received numerous accolades including the 2023 VC Research Excellence Award in Research Supervision and recognition as one of the World's 50 Renowned Women in Robotics (2020). Her work focuses on evidence-based interventions for dementia patients, emphasizing social robotics, pain management, and behavioral symptom mitigation. Bachelor of Nursing, Flinders University (1989) Master of Health Science, Queensland University of Technology PhD, Queensland University of Technology (1997) Her research spans Dementia , Social Robots , and Geriatric Nursing , with a strong emphasis on improving quality of life through technological innovations. Recent publications highlight the role of humanoid robots like Telenoid and PARO in enhancing engagement and managing chronic pain in dementia patients. She has secured significant grants from NHMRC, Wellcome Trust, and international institutions to advance her work. VC Research Excellence Award in Research Supervision (2023) World's 50 Renowned Women in Robotics (Analytics Insight, 2020) International Nurse Researcher Hall of Fame (Sigma, 2019) International Women’s Day 2016 Global Innovation Award As a prolific supervisor, she has guided 27 PhD students to completion, many achieving no/minor revision outcomes. Her collaborative projects span Australia, China, and Taiwan, involving multidisciplinary teams for dementia research. She actively contributes to healthcare policy and education frameworks, particularly in residential aged care and informal caregiver support.

• Dementia
• Depression
• Delirium
• +۴ مورد دیگر

Lakhmi C. Jain is a distinguished academic affiliated with the University of South Australia. As a Professor, she has made significant contributions to the fields of Artificial Intelligence, Computational Intelligence, and Fuzzy Systems. Her research spans neural networks, decision support systems, robotics, and data analysis, with a focus on interdisciplinary applications. Her career includes over 445 publications, including books like Complex Networks in Software, Knowledge, and Social Systems (2019) and E-Learning Systems - Intelligent Techniques for Personalization (2017). She has held editorial roles in journals such as the International Journal of Intelligent Decision Technologies (IDT) and the Journal of Intelligent & Fuzzy Systems. Jain's work emphasizes practical applications of computational intelligence, including efforts in software development, biomedical signal processing, and multi-agent systems. She has collaborated extensively with researchers globally, contributing to advancements in AI-driven technologies and decision-making frameworks.

• Artificial Intelligence
• Computational Intelligence
• Neural Networks
• +۵ مورد دیگر

Mohammad T. Khasawneh is a SUNY Distinguished Professor and Director of the School of Systems Science and Industrial Engineering at Binghamton University. He leads the Watson Institute for Systems Excellence (WISE) and the Healthcare Systems Engineering Center. His roles include Director of the Manhattan Graduate Program in Health Systems. Education: BS and MS in Mechanical Engineering from Jordan University of Science and Technology (1998, 2000), PhD in Industrial Engineering from Clemson University (2003). Research focuses on healthcare systems engineering, operations management, and data science. His work optimizes healthcare systems for improved patient outcomes and cost efficiency. Key areas include predictive analytics, hospital resource utilization, and clinical performance improvement. He has generated over $15M in external funding and led projects with U.S. hospital systems. Notable achievements include developing the Executive Master of Science in Health Systems and an MS in Healthcare Systems Engineering. His research has produced 60+ journal articles and 120+ conference papers. Awards include SUNY Chancellor’s Awards for Teaching (2011) and Scholarship (2021), University Awards for Graduate Director (2015) and International Education (2016). He is an IISE Fellow and holds honorary visiting professorships at Hebei University of Technology (China) and Vellore Institute of Technology (India). Grants and funding: $2.5-3M annually via WISE, $39M in software/equipment grants. Lab/Initiatives: Healthcare Systems Engineering Center, WISE, and multiple hospital partnerships.

• Healthcare Systems Engineering
• Operations Management
• Data Science
• +۳ مورد دیگر

Blake N. Johnson is a Professor in the Grado Department of Industrial and Systems Engineering at Virginia Tech. He holds a B.S. (2008) from the University of Wisconsin-Madison, a Ph.D. (2013) in Chemical Engineering from Drexel University, and completed a postdoc at Princeton University (2013-2015). His research focuses on smart manufacturing, biosensing, and autonomous materials science, with notable contributions in 3D bioprinting and theory-guided machine learning for biosensor optimization. He has received prestigious awards including the NSF CAREER Award (2022) and SME Outstanding Young Manufacturing Engineer Award (2020). Key professional roles include: Professor, Virginia Tech (2025–present) Associate Professor, Virginia Tech (2022–2025) Assistant Professor, Virginia Tech (2015–2022) Research interests span biosensors, biomanufacturing, and machine learning-driven material discovery. His lab develops innovative solutions for medical diagnostics, tissue regeneration, and sustainable materials. He teaches courses such as ISE 5984 (Additive Manufacturing) and ISE 2204 (Manufacturing Processes). Notable achievements include pioneering work on 3D-printed anatomical nerve regeneration pathways and developing high-throughput platforms for hydrogel characterization. Media highlights include coverage of his NSF CAREER Award and breakthroughs in biosensor reliability.

• Smart Manufacturing
• Smart Biomanufacturing
• Biosensors and Bioelectronics
• +۵ مورد دیگر

Tyler Van Buren is an Assistant Professor in the Department of Mechanical Engineering at the University of Delaware, part of the College of Engineering. He holds a Ph.D., M.S., and B.S. in Aerospace and Mechanical Engineering from Rensselaer Polytechnic Institute (2008–2013). Previously, he served as a Research Scientist at Princeton University (2014–2019), focusing on bio-inspired propulsion, turbulence, and flow control. His research emphasizes unsteady flows and coherent structures, with a focus on fluid-structure interaction, bioinspired systems, and practical applications in energy efficiency and robotics. Key areas include vortex dynamics, synthetic jet actuation, and turbulent boundary layer control. Recent work explores optimal parameters for oscillating fins, vortex generator emulation, and eddy self-similarity in pipe flows. His studies bridge fundamental fluid mechanics with real-world impacts, such as improving vehicle design and energy-saving technologies. Lab activities concentrate on experimental methods for analyzing unsteady flows, including flapping propulsion systems and turbulence-induced phenomena. Collaborative projects address challenges in wind energy harvesting and biomedical fluid dynamics.

• Fluid Mechanics
• Turbulence
• Flow Control
• +۶ مورد دیگر

Francisco Santibanez is a Research Assistant Professor in the Department of Biomedical Engineering at the University of North Carolina. He holds a Ph.D. in Physics from Universidad de Santiago de Chile (2010). His research focuses on experimental physics, biomedical imaging, and non-linear wave propagation in complex media. Since joining the Pinton Lab in 2018, he has investigated ultrasound super-resolution, functional imaging, and shear wave dynamics in soft tissues. His work spans advanced ultrasound techniques, including transcranial imaging, volumetric imaging, and real-time monitoring of neurovascular responses. Key projects include developing sparse ultrasound arrays and addressing image-degrading effects in clinical settings. His contributions extend to interdisciplinary areas like granular dynamics and acoustic sensing for pest control. Notable research trends include advancing super-resolution imaging capabilities and exploring shock wave behavior in biological tissues. His publications reflect expertise in medical imaging modalities, wave propagation modeling, and hardware innovations for diagnostic applications. Labs/Teams: Active member of the Pinton Lab, collaborating on biomedical engineering and medical imaging projects. His work emphasizes translational research with potential for clinical impact in neuroimaging and oncology monitoring.

• Biomedical Imaging
• Experimental Physics
• Instrumentation
• +۵ مورد دیگر

Marinko Sarunic is an Adjunct Professor at the School of Engineering Science , Simon Fraser University . He holds a PhD in Biomedical Engineering from Duke University and has been recognized as a Michael Smith Foundation for Health Research Scholar . His research focuses on biomedical imaging , particularly optical coherence tomography (OCT) , microscopy , and low-coherence interferometry , with applications in diabetic retinopathy , Alzheimer’s disease , and age-related macular degeneration . Dr. Sarunic's work spans adaptive optics , deep learning , and sensorless OCT systems , emphasizing clinical translation and open-source software development (e.g., OCTAVA ). His Google Scholar publications highlight multimodal imaging , vascular heterogeneity analysis , and AI-driven diagnostics for retinal diseases. His contributions include the Michael Smith Foundation for Health Research Scholar award. Though not currently teaching courses, his collaborations and leadership in retinal imaging and medical device innovation are pivotal for advancing non-invasive diagnostics in neurodegenerative and diabetic conditions .

• Biomedical Imaging
• Optical Coherence Tomography
• Microscopy
• +۲ مورد دیگر