Hi, I am revising my Statement of Objectives too many times. Could someone please give comments and advice?
Please explain why you are a good candidate for graduate school. You should describe why you wish to attend graduate school, what you would like to study, and any research experience you have. Describe one or more accomplishments you are particularly proud of that suggest that you will succeed in your chosen area of research.
Ever since my grandparents suffered from cardiovascular diseases, I always desired to explore new technologies to help the elderly. It is this certain responsibility which is driving me to conduct research in health sensing.I majored in Internet of Things with hope to study wireless network. After university graduation, I chose to do research in biomedical engineering. Thanks to my supervisor, I focused on the wearable physiological parameter monitoring study. It is the opportunity that leads to my realization that I wanted to have a similar role in the future.
For me, education is not about titles, credits or diplomas. It is more about expanding one's knowledge. Working in wearable computing for three years, I have to acknowledge that continuous education is a key factor towards gaining future success. My mindset has led me to high expectations for myself. Hence, I want to get the best education from the best schools in the world as well as to be in classes with some of the brightest minds in the world. In my opinion, there are not only possibilities to learn from the professors, but also from fellow students. It is therefore clear to me that PhD education has to be the next step on my career plan.
Given my educational background and academic experience in biomedical engineering, I can clearly identify my areas of interest: biomedical signal processing, wearable computing, machine learning and human-computer interaction application in clinical population. I cannot deny that I am excited at the thought of being involved in addressing the future need of human healthcare. This is why I consider the MIT with its Media Lab to be one of the best opportunities to further my education.
Thus far my academic career is marked by a focus on wearable computing and health sensing. During graduate study, my research concentrated on the wearable physiological monitoring system. In this system, my work mainly consists of three subtopics: false arrhythmia alarm reduction, cuff-less blood pressure estimation, and emotion recognition with physiological signals. My goal is to monitor heart rate, blood pressure and human emotions with a wrist watch continuously and noninvasively. This research paved way for my continuous study at a higher level.
During my projects in graduate research I explore intrinsically new mechanisms that monitor health metrics continuously and noninvasively. I am particularly proud that I mastered interdisciplinary knowledge and used a variety of research methods including field investigation at hospitals, data cleaning, signal processing, machine learning as well as statistical analysis to compress the research results into simple and clear statements with supporting numbers. During my internship at Microsoft, working in teams has shown me how much more a team can achieve in terms of creativity and solution bandwidth. In the international projects, the cultural diversity of the team brought this synergy to a whole new level and everyone in the team profited from a broadened view on the topics.
Coming from a country which has its strength in research I hope to be a good addition to MIT research teams and profit from the intercultural exchange. Furthermore China is stepping into the aging society, which gives me a good foundation in the area of wireless health sensing.
Please explain why you are a good candidate for graduate school. You should describe why you wish to attend graduate school, what you would like to study, and any research experience you have. Describe one or more accomplishments you are particularly proud of that suggest that you will succeed in your chosen area of research.
Ever since my grandparents suffered from cardiovascular diseases, I always desired to explore new technologies to help the elderly. It is this certain responsibility which is driving me to conduct research in health sensing.I majored in Internet of Things with hope to study wireless network. After university graduation, I chose to do research in biomedical engineering. Thanks to my supervisor, I focused on the wearable physiological parameter monitoring study. It is the opportunity that leads to my realization that I wanted to have a similar role in the future.
For me, education is not about titles, credits or diplomas. It is more about expanding one's knowledge. Working in wearable computing for three years, I have to acknowledge that continuous education is a key factor towards gaining future success. My mindset has led me to high expectations for myself. Hence, I want to get the best education from the best schools in the world as well as to be in classes with some of the brightest minds in the world. In my opinion, there are not only possibilities to learn from the professors, but also from fellow students. It is therefore clear to me that PhD education has to be the next step on my career plan.
Given my educational background and academic experience in biomedical engineering, I can clearly identify my areas of interest: biomedical signal processing, wearable computing, machine learning and human-computer interaction application in clinical population. I cannot deny that I am excited at the thought of being involved in addressing the future need of human healthcare. This is why I consider the MIT with its Media Lab to be one of the best opportunities to further my education.
Thus far my academic career is marked by a focus on wearable computing and health sensing. During graduate study, my research concentrated on the wearable physiological monitoring system. In this system, my work mainly consists of three subtopics: false arrhythmia alarm reduction, cuff-less blood pressure estimation, and emotion recognition with physiological signals. My goal is to monitor heart rate, blood pressure and human emotions with a wrist watch continuously and noninvasively. This research paved way for my continuous study at a higher level.
During my projects in graduate research I explore intrinsically new mechanisms that monitor health metrics continuously and noninvasively. I am particularly proud that I mastered interdisciplinary knowledge and used a variety of research methods including field investigation at hospitals, data cleaning, signal processing, machine learning as well as statistical analysis to compress the research results into simple and clear statements with supporting numbers. During my internship at Microsoft, working in teams has shown me how much more a team can achieve in terms of creativity and solution bandwidth. In the international projects, the cultural diversity of the team brought this synergy to a whole new level and everyone in the team profited from a broadened view on the topics.
Coming from a country which has its strength in research I hope to be a good addition to MIT research teams and profit from the intercultural exchange. Furthermore China is stepping into the aging society, which gives me a good foundation in the area of wireless health sensing.