A novel approach to analyzing and optimizing the performance of a computational modeling using a statistical analysis called Monte Carlo Method will be presented.
A novel approach to analyzing and optimizing the performance of a computational modeling using a statistical analysis called Monte Carlo Method will be presented.
Two different machine learning models were developed to predict the cooling
types of 350 Indian power plants. General regression analysis was used
to predict the plants using a dataset of multiple numerical and categorical labels
and CNN was used to do the same using images from Google Map images.
In order for robots to make quick decisions online, they must make appropriate
decisions depending on which state they are in. In this article, a
framework for optimal control motion planning using optimization-based control and
defining reachable sets using weighted linear regression will be discussed.
By analyzing the data of the behavior of the robot, we can gain a deep understanding of the way the robot behaves in the real world and therefore make a sound decision in controlling the robot.
Awards/Scholarships/Presentations
Awards
Outstanding Undergraduate Research Award in ME Department, (UROP symposium), Spring 2016
2nd place oral presentation award in all engineering departments (UROP symposium), Spring 2015
Scholarships
Air Products Undergraduate Research Award ($1,500)
President’s Undergraduate Research Award ($1,500 each) Summer 2015, Spring 2016
Thesis
W. Song, “Percolation, Electrical Conductivity, and EMI Shield Analysis of CNT Composites”, thesis submitted to Georgia Institute of Technology [link here]
Journal
W. Song, V. Krishnaswamy, & R.V. Pucha, “Computational Homogenization in RVE Models with Material Periodic Conditions for CNT Polymer Composites” Composite Structures vol. 137 (2016) p. 9-17 [link here]
Conference
Z. Mills, W. Song, & A. Alexeev, “Bifurcations in Flow through a Wavy Walled Channel” [abstract]. In: Proceedings of the 68th Annual Meeting of the APS Division of Fluid Dynamics; 2015 Nov 22-24; Boston, Massachusetts: Abstract nr 21
Posters/Presentations
S. Flemming, W. Song, S. Sen, “Classification of Power Plants Cooling Types in India” Poster session presented at: CS 229 Machine Learning Poster Session, 2017 Dec. 11; Stanford, CA
W. Song, “Fundamental study of Key Issues related to Advanced Supercritical Carbon Dioxide Brayton Cyels” Poster session presented at: Air Products Symposium, 2016 Apr. 12; Atlanta, GA
R. Writhers, W. Song, “Stress Transfer in CNT Composites: Role of Interface and Interphase” Poster session presented at: Undergraduate Research Opportunities Program Spring Symposium, 2016 Apr. 19; Atlanta, GA
M. Kurien, J. Seong, K. Lee, I. Kim, & W. Song, “Advanced Algorithms for Contact in RVE Models”, Poster session presented at: Undergraduate Research Opportunities Program Spring Symposium, 2016 Apr. 19; Atlanta, GA
W. Song, “Percolation, Electrical Conductivity and EMI Shield Analysis of CNT Composites” Poster session presented at: Undergraduate Research Opportunities Program Spring Symposium, 2015 Apr. 22; Atlanta, GA
V. Krishnaswamy, W. Song, & I. Lakhia, “Seamlessly Integrated Design and Analysis tools for Nano-filler Composites” Oral Presentation at: Undergraduate Research Opportunities Program Spring Symposium, 2015 Apr. 22; Atlanta, GA
W. Song, “Percolation, Electrical Conductivity, and EMI Shield Analysis of CNT Composites” Poster session presented at: Air Products Symposium, 2015 Apr. 3; Atlanta, GA
H. Littmann, K. Hansen, P. Younes, & W. Song, “Developing an Efficient Algorithm to Calculate Percolation Threshold” Poster session presented at: Undergraduate Research Opportunities Program Spring Symposium, 2014 Apr. 22; Atlanta, GA
K. Hansen , H. Littmann, P. Younes, & W. Song, “Electrical Conductivity Analysis of CNT Composites” Poster session presented at: Air Products Symposium, 2014 Apr. 22; Atlanta, GA