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The source code for AMAISE: A Machine Learning Approach to Index-Free Sequence Enrichment and the accession codes for the data used to train and test AMAISE.

This is a project directed by Dr. Ivo and Jared Chai and written by Shihang Li and Yongxiang Zhao

Code for Learning Credible Models

Code for Learning Credible Models

Adding Semantic analysis to existing parser

LIS3MDL Magnetometer Driver

Humidity and Temperature Sensor for dhaarav0.5

The project pushes real time data from the sensors and displays it on a Web App GUI.

Code assignments developed as part of MIT Embedded Driver development MOOC. Drivers covered - UART, RTC, PLL_SYS_CLK for STM32F4X board

Flask based dashboard app for real time streaming sensor data from any MQTT Client

geoScope bridge vibration sensing framework for geoNodes based on ESP8266

Adaptive Cruise Control with lane centering autonomous car based on S32K144 - 32-bit ARM Cortex-M4F MCU.

A wireless sensor platform in Embedded Rust for the DWM1001-DEV board, the Nordic nRF52 microcontrollers for IoT.

An N-way superscalar out-of-order processor based on the R10K scheme, implemented, integrated and verified by my EECS470 group as part of our final project. It includes all basic functioning features and modules for correctness.