Yash Vesikar

I am an Undergraduate Computer Engineering student at Michigan State University.

At MSU, I have worked in the COIN-Lab on R-NSGA-III and PyMoo where I have been advised by Dr. Kalyanmoy Deb.

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Research / Projects / Teaching
Research

I am interested in program synthesis, reinforcement learning, optimization, and computational intelligence. Much of my research to date has been related to user preference based multi-objective optimization.

Reference Point Based R-NSGA-III for Preferred Solutions
Yash Vesikar, Kalyanmoy Deb, Julian Blank
IEEE SSCI, 2018
paper / presentation / bibtex

User specified reference points can be used to simplify the multi-criterion decision making process by incorporating user preference into the optimization process.

Projects

Personal and academic projects that I am proud of or I feel have a high technical complexity.

PyMoo
bibtex

Contributed to the design and implementation of PyMoo library. Project is primarily spearheaded by Julian Blank.

NEO
tool / info.

Collaborated with Childrens Hospital of Wisconsin to create a web application to aid in diagnosis and treatment of neonatal ecephalopathy.

Teaching
MSU CSE Undergraduate Lecture Assistant - Introduction to Python
CSE231 Spring 2018


Undergraduate Lectuere Assistant - Algorithms & Data Structures
CSE331 Fall 2018 & Spring 2019


Design and source from Jon Barron's website,