Shan Sikdar

All from Boston University except where noted.

CS 585: Image and Video Computing

• Assignment 1: Create Warhol Filter
• Assignment 2: Template Matching
• Assignment 3: Characterizing Cancer Images
• Assignment 4: Object Tracking

CS 512: Formal Methods

• Written hw in tex and pdf format
• A final project modeling the Seven Bridges of Konigsburg Problem in Alloy

CS 591: Computational Audio

• TODO

CS 542: Machine Learning

• HW1: Written HW + K-Nearest Neighbor Implementation in Python
• HW2: Written HW + Polynomial Regression in Matlab
• HW3: Written HW
• HW4: Written HW + Implement Sparse AutoEncoder(Neural Network) in Matlab
• HW4: Written HW + Markov Random Field in Matlab

CS 655: Introduction to Computer Networks

• PA1: Echo Client-Server Application/Performing RTT and Throughput Measurements
• PA2: Implementing Go-Back-N and Selective Repeat
• PA3: TODO find this assignment

CS 552: Operating Systems

• TODO

CS 660: Databases

• TODO

ISE 415: Graduate Soft Computing (Binghamton)

• Final Project: A Neural Network in Python used to detect forest fire

Research

• Some code in a mixture of Python, Matlab and R used when trying to do research