Our vision is to use our unique resources to perform world-class research in the field of micro/nanotechnology. This is consistent with our goal of designing practical micro/nanosystem solutions to common real-world problems.
Biomedical applications of electromagnetic waves and fields.
We use Machine Learning Techniques, System IdentificationÌýand Mathematical Models to better understand the neural control of our movements and our neuromechanics.
The Levine Group in the Department of Electrical and Computer Engineering at the University of À¶Ý®ÊÓƵ pursues research at the intersection of biotechnology and semiconductors.
Our research is at the interface betweenÌýmaterials, biomedicine and energy; it involves the application of materials science, physical chemistry, surface thermodynamics, solid state physics, biochemistry and molecular cell biology to energy, biomedical and chemical engineering systems.
Campbell Labs
We focus our research on the human eye, optical systems, and disease diagnosis.
Centre for Bioengineering and Biotechnology (CBB)
Established in 2011, the Centre for Bioengineering and Biotechnology (CBB) is a catalyst for advancingÌýbioengineering and biotechnology researchÌýand innovation through industry collaborations andÌýpartnerships. More than 80 faculty members, from every faculty on campus, are actively engaged with the centre, working in collaboration to provide a resource of varying expertise.ÌýCBB'sÌýmandate is to build healthy, active partnerships between centre researchers and corporate members through collaborative projects, mutual interest building, and networking events.Ìý
Centre for Intelligent Antenna and Radio Systems (CIARS)
Located in the science and technology heartland of Canada, the Centre for Intelligent Antenna and Radio Systems (CIARS) has been established to provide researchers in Canada and around the world with an inspiring exploration and development environment for innovation in all aspects of electromagnetic communication and sensing science and engineering.
Exciting applications incorporating the use of sustainable nanomaterials in consumer goods, biomedical science, environment, water and energy are being pursued.
Our research focuses on developing new wearable sensor systems, artificial intelligence (AI) based wearable assistive systems, machine learning for biomedical signal processing, human-assistive robotics, and 3D imaging and 3D computer vision.
Intelligent Technologies for Wellness and Independent Living (ITWIL) Lab
TheÌýIntelligent Technologies for Wellness and Independent Living Lab at the University of À¶Ý®ÊÓƵ brings togetherÌýstate-of-the-art computer science, engineering, rehabilitation science, and human factors methodologies to create internationally renowned intelligent assistive technologies for supporting aging and promoting independence and quality of life for older adults.Ìý
Our researchÌýcentresÌýaround the transdisciplinary execution of user-centred design practices to create innovative, usable, and useful solutions to large, complex problems.
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The Laboratory forÌýKnowledge Inference in Medical Image Analysis (KIMEA)Ìýhas been founded with the specific mandate to extract knowledge from large medical image archives by desighing smart search, classification and annotation technologies.
LITMUS is a vibrant research group with long-standing interest in tackling frontier problems in diagnostic and therapeutic ultrasound.
Our group has integrated analytical and computational approaches with experimental data to address several problems in cancer biology.
Motion Research Group
We specialize in the dynamic analysis, model-based control, and design optimization of mechanical and biomechatronic multibody systems.
The Multi-Scale Additive Manufacturing Lab focuses on next generation additive manufacturing processes. To this end, the lab explores novel techniques to develop advanced materials, innovative products, modeling and simulation tools, monitoring devices, closed-loop control systems, quality assurance algorithms and holistic in-situ and ex-situ characterization techniques.
The Orthopaedic Mechatronics (orthotron) Laboratory in the Mechanical & Mechatronics departmentÌýis focused on a multidisciplinary approach to develop and evaluate orthopaedic interventions, ranging from robotic manipulators to characterize bone-implant mechanics to wearable sensors for musculoskeletal rehabilitation monitoring.
Our lab is interested in designing and developing novel optical systems for clinical and pre-clinical biomedical applications.
To investigate how the biophysical and biochemical cues regulate cell behavior.
Sensors and Devices Lab
We focus on applications in wireless communications, sensing, wireless power transfer, and remote actuation.
Sensors and Integrated Microsystems Laboratory
To develop state-of-the-art micro and nano sensing technologies that address issues in global healthcare and energy as well as of environmental importance while contributing to fundamental sciences.
Specializes in both fundamental and practical aspects of adhesion, wetting and friction of soft bio-nanomaterials under micro- and nanometer confinements.
UW Neural & Rehabilitation Lab (NREL)
For more information contactÌýProfessor James Tung.
À¶Ý®ÊÓƵ Centre for Microbial Research
The À¶Ý®ÊÓƵ Centre for Microbial Research as a group, plans to unify, catalyze, and promote multidisciplinary research which explores and exploitsÌý microbes, at the University of À¶Ý®ÊÓƵ.
À¶Ý®ÊÓƵ Composite Biomaterial Systems Lab
In the Composite Biomaterial Systems Laboratory, we conduct research and development in two general areas:
- Bone Mechanics and Quality
- Biomaterials for Skeletal Reconstruction
À¶Ý®ÊÓƵ Engineering Bionics Lab
The À¶Ý®ÊÓƵ Engineering Bionics lab develops technologies that will shape the future interaction of human and artificial systems. We conduct inter-disciplinary research across neuro-engineering, artificial intelligence, robotics, neuroscience, and medicine. We study mainly physiological signals, such as electromyogram (EMG), electroencephalogram (EEG) and electrocardiogram (ECG), extracting useful information such as motion intentions, sensory processing, emotional states and cognitive processing. With these information, we develop systems that would allow synergistic interaction between human and artificial systems, computers, robotics, mobile devices, virtual reality etc.