In this project We present a machine learning based COVID-19 cough classifier which can discriminate COVID-19 positive coughs from both COVID-19 negative and healthy coughs. For this purpose we trained ResNet classifier on publicly available datasets Coswara and Coughvid which achieved proper AUC.

Markov clustering algorithm (MCL) is one of the most famous famous graph clustering algorithms. However, it has its downsides; For instance, MCL does not scale well, even to moderate-sized graphs. Hence, in this project, soft regularized markov clustering (SR-MCL) was implemented for recognizing overlapping clusters in large graphs, like protein protein interaction networks.

In this project, we hired Genetic Algorithm (GA) for image segmentation process which is a method that a digital image is broken down into various subgroups called Image segments. At each step, GA selects individuals from the current population and uses them as parents to produce the children for the next generation. After that, parents will be selected based on their fitness and this process will continue until we reach a proper answer.

Metaheuristic algorithm are very suitable for optimization problems. Therefore, We implemented several of these algorithms to solve a number of well-known optimization problems.

• Solving Traveling Salesman Problem (TSP) with Simulated Annealing.
• Solving TSP using Self-Organizing Maps.
• Solving TSP with Ant Colony Optimization.
• Solving N Queens Problem by Memetic Algorithm.
• Finding Minimum of Rastrigin Function with Hill Climbing Algorithm.
• Finding Minimum of Rastrigin Function with Simulated Annealing Algorithm.