平博亚洲版

RESEARCH AT BME 平博亚洲版

A distinctive feature of the Biomedical Engineering program in any university around the world is its emphasis on a research-oriented curriculum. 平博亚洲版 BME is no exception is this regard. It promotes research involvement as early as the sophomore year (level 3). Interested undergraduate BME students have the chance to collaborate with faculty members on research projects from the start. Over time, this early research experience will significantly boost their opportunities for graduate studies and empower them to lead innovative projects after graduation. The faculty members along with the young researchers of this department are currently concentrating their research on the following primary areas:

Biomechanics and Computational Fluid Mechanics:

Research in biomechanics applies the principles of mechanics to cellular, tissue, and joint levels, with applications in orthopedics, musculoskeletal, and cardiovascular systems. This field explores injury and orthopedic biomechanics to address biomechanical issues related to injury and rehabilitation. Both experimental and computational techniques are used to develop and validate models of soft and hard tissue behavior. Computational biomechanics plays a crucial role in simulating and analyzing complex biomechanical processes, providing insights into injury mechanisms and treatment outcomes. Additionally, microfluidic models are increasingly used to study tissue responses at a microscale, offering valuable data on fluid flow and cellular interactions in various biological contexts.

Biomedical Imaging:

Biomedical imaging encompasses the methods and techniques used to create visual representations of the inside of the body, including organs and tissues, for clinical diagnosis and medical procedures. This field is crucial for research and involves the technologies essential for diagnostics. Computational models and tools using medical images designed by biomedical engineers allow for more precise disease detection, often at early stages when treatment is more effective, thereby enhancing the quality of medical care overall.

Biomedical Data Science:

Biomedical imaging encompasses the methods and techniques used to create visual representations of the inside of the body, including organs and tissues, for clinical diagnosis and medical procedures. This field is crucial for research and involves the technologies essential for diagnostics. Computational models and tools using medical images designed by biomedical engineers allow for more precise disease detection, often at early stages when treatment is more effective, thereby enhancing the quality of medical care overall.

Telemedicine & Digital Healthcare:

Telemedicine & Digital Healthcare focuses on using portable devices like smartphones, tablets, smartwatches and other wearables combined with electronic healthcare record data to tackle a range of public health challenges. A significant subset to this field is mobile health (mHealth) that involves utilizing mobile devices and technology to enhance and advance healthcare practices. This research heavily involves the design of electrical circuits and systems, prototyping, implementing algorithms on microcontrollers or smart wearable/portable devices, and developing signal processing and machine learning systems.

Bioinformatics and Computation Medicine:

Bioinformatics uses computational tools and techniques to analyze and interpret complex biological data, particularly genetic and genomic information. It combines computer science, statistics, and biology to manage and visualize data, focusing on algorithm development for sequence alignment, gene expression, and protein structure prediction, as well as integrating diverse data sources for insights like drug target discovery and personalized medicine. Computational Medicine builds on these bioinformatics foundations by developing and personalizing computational models of diseases to enhance diagnosis and treatment by identifying risk biomarkers, predict disease progression, optimize treatments, and discover new drug targets for conditions such as cancer, cardiovascular, and neurological disorders.

Medical Device Development:

Medical device development involves designing tools, implants, software, and processes for diagnosing and managing diseases. It primarily includes identifying clinical needs, developing prototypes, conducting trials, and navigating regulatory requirements. Recent research highlights include advanced wearable health monitors, smart insulin pens, and the use of 3D printing for creating customized implants, prosthetics and equipments like pacemakers, defibrillators, etc.

Biomaterials and Green Synthesis:

The field of biomaterials focuses on researching unique materials such as biopolymers, metals, ceramics, peptides, and composites, structured into various matrices like microfiber, nanofiber, nanoparticles, hydrogels, and biofilms. Advanced laboratory techniques, including electrospinning, wet spinning, chemical precipitation, and freeze-drying, are employed in this research. Green synthesis methods are increasingly used to create these biomaterials in an environmentally friendly manner, using sustainable processes and natural resources. Additive manufacturing enables the precise fabrication of biomaterials, which can be loaded with therapeutic drugs for controlled release exhibiting antibacterial and anti-inflammatory properties.

Computational Biophotonics:

Computational Biophotonics applies computational methods to enhance light-based imaging and analysis of biological systems. It involves simulating light-tissue interactions, optimizing imaging techniques like fluorescence and optical coherence tomography, and analyzing complex data. This field aims to improve image resolution, accuracy in diagnostics, and therapeutic interventions by applying advanced computational tools like COMSOL Multiphysics, and ANSYS Lumerical.

Computational Biophotonics:

It combines engineering and neuroscience to create technologies for interfacing with the nervous system. It focuses on developing devices for monitoring, stimulating, and repairing neural functions, such as brain-computer interfaces and neural prosthetics. The field aims to advance treatments for neurological disorders, enhance brain function, and create tools for cognitive and sensory improvement. By merging engineering with biology and medicine, neuroengineering drives innovations in both fundamental research and clinical applications.