As a high school student, you may be curious about how to turn your love for computer science into a deeper pursuit. One effective way to enhance this passion is to engage in computer science research projects. By participating in these studies, you will not only deepen your understanding of computer science but also acquire valuable skills and have the opportunity to expand your impact.

Participating in research projects is a great opportunity to exercise critical thinking, problem-solving, and communication skills. These skills are essential in computer science, but they are also applicable to many other fields. In addition, when you apply for college or scholarships, having research experience can serve as strong proof of your curiosity and passion for intellectual exploration.

Research experience allows you to show yourself more authentically and comprehensively, which is particularly important in the context of many colleges and universities no longer relying solely on test scores as a selection criterion. It not only proves your academic potential but also shows your personal qualities and commitment to your professional field. Through research, you will have the opportunity to exchange ideas with like-minded people and explore unknown areas together, which is a valuable learning and growth experience in itself.

High school students selected for the Embark Exploration Program will be able to conduct academic research in their field of interest and receive one-on-one guidance from doctoral scholars from top universities. This time, we will share with you some research ideas proposed by Embark research mentors, and we hope that these ideas will inspire you!

Top 15 innovative Computer project ideas suitable for students (summary):

1. Artificial intelligence-educational technology
2. Singing detection based on deep neural networks
3. Semantic segmentation technology for cerebral hemorrhage
4. Barrage sentiment analysis
5. Anomaly detection of time series data
6. Spam filtering using naive Bayes classifier
7. Predicting the risk of type 2 diabetes using a polygenic risk scoring algorithm
8. Studying biomarkers of brain-specific changes in adolescent anxiety disorder patients
9. The impact of dimensionality reduction technology on image recognition
10. Internet + charity
11. Digital intelligent transportation technology based on artificial intelligence-neural network computer vision
12. Information transmission, belief updating and financial markets-a study based on text analysis
13. Two-photon microscopy
14. Neuroimaging study of the impact of parents' social status on adolescent brain development and intelligence
15. The impact of dimensionality reduction technology on image recognition

1. Artificial intelligence-educational technology

In this project, high school students can study how educational technology and artificial intelligence systems can help them in their lives through communication and observation with teachers and students (possible methods such as designing questionnaires, distributing and collecting questionnaires, and analyzing the obtained data or other methods), what deficiencies, challenges and shortcomings they still have when using the system, and understand how these educational technologies can be better designed to better help the teaching process of teachers and students.It's an excellent technology project for students.

2. Singing Detection Based on Deep Neural Network

This project is expected to combine deep learning models for singing detection, take singing detection as a binary classification task, and use the advantages of deep models in classification tasks for research.It is an innovative project idea for a high schooler.

3. Semantic Segmentation Technology for Cerebral Hemorrhage

In this project, we will use semantic segmentation technology in artificial intelligence algorithms and cerebral hemorrhage datasets to complete this task. This research direction is novel and there are few achievements internationally, so it has a very broad prospect.This is perfect if you're a tech-savvy student who wants to show off your creative side and design skills.

4. Barrage Sentiment Analysis

This work aims to predict the future playback trend of videos by analyzing the sentiment of barrage content. This task involves many aspects of technology such as natural language processing, deep learning, data mining, etc.

5. Anomaly Detection of Time Series Data

In this project, we designed an unsupervised deep learning framework to solve this problem and verified its effectiveness on an anomaly detection benchmark. Under our proposed framework, neural networks can be trained on recorded streaming data without the need for laborious manual labeling processes and then deployed to monitor the corresponding processes.This is an interesting project idea for high school students who are enthusiastic about Big Data Technology.

6. Spam Filtering Using Naive Bayes Classifier

In this topic, we proposed an effective spam filtering method based on the Naive Bayes theorem. Using our method, we treat emails as a bag of words and learn a probabilistic model to classify spam and non-spam.

7. Predicting the risk of type 2 diabetes using a polygenic risk scoring algorithm

This study hopes to more accurately predict the risk of type 2 diabetes in Asians based on a new polygenic risk scoring algorithm. At the same time, the DNA of the students participating in this project is extracted for genotyping, and based on the above algorithm, their risk of type 2 diabetes is predicted to prevent the occurrence of related diseases.

8. Studying biomarkers of brain-specific changes in adolescent anxiety patients

This project aims to encourage researchers to use brain MRI imaging data of adolescent anxiety patients, especially structural and functional data, from the perspective of adolescents to explore the brain development characteristics of adolescent anxiety and its relationship with mental health and provide new scientific insights and strategies for the prevention and treatment of adolescent anxiety.

9. The impact of dimensionality reduction technology on image recognition

A common bottleneck in the practical application of deep learning is the limited data resources. In this project, we will use deep learning methods based on open-source data to try to study the impact of image dimensionality reduction technology on the learning efficiency of limited data sets.

10. Internet + Public Welfare

What is the significance of the combination of the Internet and public welfare for the development of China's public welfare? What are the typical models of Internet + public welfare in China? How to achieve openness and transparency of public welfare in the era of the Internet + public welfare? In this project, we will use the questions you are interested in as the starting point to study the infinite possibilities of the Internet + public welfare.As a high school student, researching internet philanthropy provides an excellent opportunity to showcase your innovative ideas, storytelling abilities, and technical skills.

11. Digital intelligent transportation technology based on artificial intelligence-neural network computer vision

This subject covers basic content such as deep learning, computer vision, Pytorch programming, and cutting-edge scientific research papers. The course will set up several programming assignments and the final course project.

12. Information transmission, belief updating, and financial markets research based on text analysis

It is unrealistic to manually identify hundreds of millions of text data sets every day, so we hope to use artificial intelligence algorithms to solve this problem so that the website can become a place where users can share knowledge with the world with confidence. In this project, we will learn, propose, and train some mainstream natural language processing (NLP) models to automatically detect such texts.

13. Two-photon microscopy

Two-photon microscopy has many characteristics, such as small photodamage, small bleaching area, strong penetration, high resolution, high fluorescence collection rate, and suitable for multi-label composite measurement. It can be applied to in vivo optical imaging of small animals and is widely used in research in the fields of tumor immunotherapy, gene therapy, stem cell research, drug screening and evaluation, and in vivo spinal cord injury imaging.

14. Neuroimaging study on the impact of parents' social status on adolescent brain development and intelligence

This project aims to encourage researchers to explore the impact of parents' social status, especially education and economic status, on adolescent brain development and intellectual development from the perspective of adolescents, using brain MRI imaging data of adolescent patients with mental illness, especially structural and functional data.

15. A new Parkinson's early diagnosis system based on machine learning and stylus pressure analysis

Parkinson's disease (PD) is a common neurodegenerative disease that is more common in the elderly, with an average age of onset of about 60 years old. If the disease is not controlled in time, it will seriously affect life. All countries in the world have different degrees of aging, and Parkinson's symptoms need to be discovered in time. This project gives diagnostic suggestions for Parkinson's disease by reading the patterns formed when writing and the pressure of the pen tip.

Another Thoughts

If you are passionate about computers and want to conduct university-level research, you can also consider participating in international competitions in the field of computers, such as the ISEF and S.-T. Yau High School Science Award， which will be a stage for you to fully display your talents and passion.

If you want to start your research immediately but are overwhelmed, you can boldly seek help from Embark. Embark mentors provide free one-on-one guidance and will do their best to help you succeed! If necessary, you can contact Embark.