In 2021, from June to August, 54 high school students attended the STEM to SHTEM (Science, Humanities, Technology, Engineering and Mathematics) summer Engineering and Mathematics) summer program hosted by Prof. Tsachy Weissman and the Stanford Compression Forum. During this summer program, the high schoolers pursued fun research projects in various domains under the supervision of 17 mentors, where the entire collection of the high schoolers’ reports can be found below.
Here is a YouTube playlist consisting of all presentations.
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The Progression of Perovskite Light Emitting Diodes (LEDs) in our Future
Authors J. Guzman, R. Schweyk, and L. Traore Abstract Over 1.5 billion incandescent and III-V Light Emitting Diodes (LEDs) are currently in use in the United States today. Whether used in headlamps, flashlights, or lamp lights, these LEDs are consuming up 136 billion kilowatt-hours on a yearly basis in the United States. However, there is…
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Investigating the Extent to which Discrepancies in SpO2 Readings Occur due to Differences in Patient Skin Pigmentation
Authors Hillary Khuu, Jun Hyun Park, Carolina Pavlik, Sylvia Chin Abstract Pulse oximeters measure the level of oxygen saturation, also known as SpO2, in a person’s arterial blood to diagnose patients with diseases such as anemia, chronic obstructive pulmonary disease (COPD), and sleep disorders. They were developed in 1974 and are the primary method for…
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Analysis of Sociocultural and Optical Influences on Olfactory Memory
Authors Madison Abbassi, Jonathan Mulenga, Subah Mahbub, Esther Chung, Teyon Herring, Eric Guo, Dante Aguilar, Arindam Saha Abstract The field of olfaction is a rising topic of interest, with researchers globally making new discoveries about olfaction and its connections with our other basic senses. Studies over the past few decades have uncovered the effects of…
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Information Sciences
Authors Kevin Bachelor , Hannah Yousuf, Alexander Kong, Isabella Coenen, Meher Brar Abstract Information science involves the study of processes for storing and retrieving information, especially scientific or technical information. Our project’s goal is to use a multimedia educational website to teach different groups of people about these ideas. Our focus will be on applications…
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Creating A Smell Print Through Artificial Scents
Authors Jude Kamal, April Mares, Serena Pulopot, Jasmine Vargas, Victoria Whipple, Caeley Woo, Devon Baur Abstract Smell is the oldest of humanity’s five senses, and it’s used for almost everything – identification, safety, emotions, relationships, and memories. Despite this, it’s one of society’s most undervalued senses [20]. As a result of the COVID-19 pandemic, people…
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Predictive Load Balancing for Financial Exchanges
Authors Akshat Parikh, Sohrab Hassibi Abstract With the continual development of the modern stock market and new stock exchanges, there has been a growing trend of individual participation in our capitalistic financial system. With these newfound changes, numerous participants of certain stock exchanges have elected to use HFTs, or high-frequency traders, to take advantage of…
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Analyzing Mutations of SARS-CoV-2 Variants of Concern
Authors Jenny Lam, Andrew Hong, Riley Kong, HoJoon Lee, Stephanie Greer Abstract The SARS-CoV-2 virus was discovered in late December of 2019, with more than 4 million cases of COVID-19 detected as of August 2021. Because SARS-CoV-2 is an RNA virus, it is highly susceptible to mutations in its genome. Some mutations give the virus…
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Analyzing the Information Density of Various Tokenizations for the Optimization of Natural Language Processing Models
Authors Riya Bhatia, Angela Yuan, Shivam Syal, Komal Keesara, Tawshia Choudhary, Dmitri Pavlichin Abstract Tokenization, a pre-processing step for Natural Language Processing (NLP) models, involves the breaking down of a text into smaller strings to build context for the model. There has been a range of tokenizers and tokenization methods designed to improve NLP model…
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Diagnosing Tuberculosis through Analysis of X-ray Scans by Neural Networks
Authors David J. Florez Rodriguez, Nam Dao, Kathryn Xiong, Srividya Koppolu, Teaghan Knox Abstract Pulmonary tuberculosis (PTB) is a potentially fatal infectious lung disease most commonly found in developing countries. Early diagnosis of PTB can help limit its spread and increase its treatability. Doctors commonly diagnose PTB using a skin test or blood test followed…
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Fact Check: AI Fact Checking and Claim Correcting System
Authors Han Lee, Sukhamrit Singh Abstract The creation of the internet sparked an age where information is available with the click of a button. Humans all around the world have been able to use this resource to their benefit. Recipes, travelling guides, political stances, anything that can be thought of can be found in this…
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An analysis of Uncertainty Quantification algorithms and Bias in Recommender Systems
Authors Alyssa Ho, Robert Beliveau, Shynn Lawrence, Vivek Alumootil, Dr. Ali Abstract Companies across the world are currently using recommendation systems in order to uniquely serve products, media, and ads to users such that users are more inclined to use their service. Household names – Spotify, Amazon, Netflix, Facebook, Google – all use such recommendation…
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A Survey of Deep Learning Applications and Transfer Learning in Medical Image Classification
Authors Eugenia Druzhinina, Joyce Lu, Napoleon Vuong, Ethan Liang Abstract Over the past few decades, artificial intelligence has become increasingly popular in the medical sector. Deep learning, a subset of artificial intelligence, has played an essential role in the formation of computer vision. This paper specifically considers convolutional neural networks and transfer learning for image…
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Learning to Play Tic Tac Toe via Reinforcement Learning
Authors Ethan Cao, Jocelyn Ho, Sameeh Maayah, Maria Rufova, Adithya Devraj Abstract Machine learning algorithms are implemented in a wide variety of modern applications to train computers to make efficient predictions and decisions based on their observations of past data. Reinforcement learning is a paradigm of machine learning that is concerned with making the most…
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Facial Landmark Data Collection to Train Facial Emotion Detection Learning Models
Authors Leevi Symister, Kaiser Williams, Roshan Prabhakar, Ganesh Pimpale, Tsachy Weissman Abstract In-person theater performances have become difficult due to COVID-19, hence video conferencing softwares like Zoom have become increasingly popular to deliver live virtual performances. Such performances require a deliverance of audience feedback information to performers so that they can adapt their performance. However,…