Abhijeet Sahu's Projects
CSCE 665 Course work
A set of tools for graph layout and viewing
Bayesian RL using Deep Q-learning
This is the repository for Bayesian Reinforcement Learning for Automatic Voltage Control in Power Transmission Systems
Large-scale pretraining and benchmarking for short-term load forecasting.
This repository constitutes mini projects on Windows Form, Web based Application, User Interface development and Data handling and Database Management using C#
Common Open Research Emulator
Bayesian Inference and Structure Learning for Bayesian Attack Graph for Cyber Physical Systems.
Firewall policy generator windows-based application for ICS network
Uses SimPy python library to build Smart meter AMI network using Co-operative Ultra Narrowband
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
This is the cyber-physical power system RL environment extended from CyberBattleSim RL environment from Microsoft Research https://www.microsoft.com/en-us/research/project/cyberbattlesim/
This is an application for Cyber Physical Situational Awareness through interaction with NP-Live and NVD database through creation of attack graph templates. The focus is on critical asset ranking, and power system contingency analysis.
Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood
A diploma thesis investigating the options of controlling power demand of households to reduce peaks in total power consumption in smart grids.
This is a C# implementation of theory of belief functions also called as evidence theory or Dempster–Shafer theory (DST), is a general framework for reasoning with uncertainty, with understood connections to other frameworks such as probability, possibility and imprecise probability theories. The use of DS theory in Intrusion Detection system has been lately performed to quantify ignorance.
Example codes for my Distributed Computing course at Hefei University.
This repository consists of python codes that performs attack classification based on the KDD and CIDDS dataset using CNN, LSTM-RNN and HMM.
This is the C# implementation of DNP3 protocol
This repository is an Reinforcement Learning Platform for learning agents to control cyber-physical Power Distribution Systems resiliently. The cyber environment in based on SimPy Discrete Event Simulator, while the distribution system is backened by Open-DSS.
Easy SimAuto (ESA): An easy-to-use Power System Analysis Automation Environment atop PowerWorld Simulator Automation Server (SimAuto)
Collection of resources for research concerning Machine Learning and Formal Methods.
A Fast and Scalable Genetic Algorithm based technique for planning of microgrids in Distribution Networks