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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Hello! I'm Michael Anoruo
About me
Posts
Future Blog Post
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Interactive Scene Reconstruction
This project introduces a simulation framework that transforms 2D RGB images into interactive physics-based objects. Leveraging pre-trained PyTorch models for object detection and depth estimation, combined with Panda3D for scene reconstruction and a custom algorithm to search for 3D models, the framework offers a user-friendly interface for selecting and integrating 3D representations into the simulated environment.
Song Genre Prediction
This project aims to develop a machine-learning model for predicting song genres based on lyrics. By leveraging natural language processing and various types of Neural networks (LSTM, CNN, etc.), the system seeks to enhance genre classification accuracy, and provide valuable insights into patterns of particular genres.
publications
Knowledge Guided Two-player Reinforcement Learning for Cyber Attacks and Defenses
Published in 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 2022
This paper presents a knowledge-guided approach to two-player reinforcement learning for cyber attacks and defenses.
Recommended citation: A. Piplai, M. Anoruo, K. Fasaye, A. Joshi, T. Finin, and A. Ridley, "Knowledge Guided Two-player Reinforcement Learning for Cyber Attacks and Defenses," in 21st IEEE International Conference on Machine Learning and Applications (ICMLA), Nassau, Bahamas, 2022, pp. 1342-1349, doi: 10.1109/ICMLA55696.2022.00213. https://doi.org/10.1109/ICMLA55696.2022.00213
research
Zero Robotics
Conducted Research at the Massachusetts Institute of Technology collaborating closely with NASA astronaut engineers in a dynamic team to prepare for the annual national Zero Robotics Competition.
Scalable Autonomous Robots (ScalAR) Lab
Conducted Research at the University of Pennsylvania where I helped to develop various hardware and software tools for autonomous boats.
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.