Name: Md Morshed Alam
Type: User
Company: University of North Carolina at Charlotte
Bio: Applying AI to solve security issues in IoT platforms. A Ph.D. researcher passionate about ML, RL, NLP, and Data Science.
Location: Charlotte, NC
Blog: https://webpages.charlotte.edu/malam3/
Md Morshed Alam's Projects
This repo includes ChatGPT prompt curation to use ChatGPT better.
An NLP-based Text (News) Classifier developed using TensorFlow, LSTM, Keras, Scikit-Learn, and Python.
for Data Science class on Coursera
A Convolutional Autoencoder (CAE) to remove noise from document images and reconstruct them without losing important information. I used TensorFlow, OpenCV, Scikit-Learn, and Python to develop this autoencoder.
A Hidden Markov Model (HMM) solution to decode sequential data patterns from an array of sensory symbols (observations). This codebase is developed using Python, Scikit-Learn, and NumPy.
A Deep Q-Network based RL solution, namely IoTWarden, developed using TensorFlow, OpenAI Gym, and Python. Simulated a vulnerable IoT environment using Gym, where a defense agent optimally takes actions to block attack activities in real-time. Trained the RL model for 250 episodes, each containing 100 epochs.
A repository to trace down all the Leetcode problems I have solved so far and showcase my problem-solving skills. I primarily used Python to code the solutions.
An LSTM-based Recurrent Neural Network (RNN) solution developed using TensorFlow and Python to discover sequential data patterns and create optimal data sequences.
Practical guidance for time series analysis in Python
Python implementation of POMDP framework and PBVI & POMCP algorithms.