Sai Nivedita Chandrasekaran

Nivi

Ph.D. Candidate in Bioengineering
Bioengineering Program
Information & Telecommunication Technology Center

344E Nichols Hall
The University of Kansas
Lawrence, KS 66045 – USA
<nivedita.siddharth@ku.edu>
Skype: nivedita.siddharth


Education

M.S., Department of Electrical and Computer Engineering
New Jersey Institute of Technology, Newark, New Jersey, USA.

B.E., Department of Electronics and Communication Engineering
Anna University, Chennai, India.


Research Interests

My research interests broadly lie in machine learning and data mining. I am particularly interested in using machine learning tools to effectively predict protein-chemical interactions. I currently work on multi-task learning. My advisor is Dr. Jun (Luke) Huan. You could find my CV here .


Dissertation Committee


Coursework

Term Courses
Spring 2013 EECS837 - Data Mining
Fall 2012 EECS833 - Neural Networks and Fuzzy Systems
EECS781 - Numerical Analysis
Spring 2012 EECS940 - Theoretic Foundation of Data Analysis
EECS700 - Computational Neuroscience
Fall 2011 EECS738 - Machine Learning
EECS730 - Introduction to Bioinformatics
Spring 2011 CPE756 - Introduction to Bioengineering
CE625 - Applied Probability and Statistics
CPE725 - Molecular Cellular Biology
Fall 2010 BIOE801 - Issues in Scientific Integrity
ME765 - Biomaterials
Spring 2011 ME757 - Biomechanical Systems
ME750 - Human Motion Biomechanics

Teaching (Graduate Teaching Assistant)

Term Course
Fall 2013 ME208 - Introduction to Digital Computational Methods in Mechanical Engineering
Spring 2013 ME208 - Introduction to Digital Computational Methods in Mechanical Engineering
Fall 2012 EECS730 Introduction to Bioinformatics
Spring 2012 ME208 - Introduction to Digital Computational Methods in Mechanical Engineering
Fall 2011 ME208 - Introduction to Digital Computational Methods in Mechanical Engineering
Spring 2011 ME455 - Mechanical Engineering Measurements and Experimentation
Fall 2010 ME682 - Control Systems
Spring 2011 ME790 - Dynamics of Complex Fluids

Fun to Read

-> A Cartoon Guide to AIC and BIC
-> An Introduction to ML made simple
-> Web development - bento box style
-> SVM and Hadoop
-> Simply Statistics
-> One place has it all for Programming


Cheminformatics Data Sets

Coming Soon!!

Affliations

IEEE - Student Member
ACM - Student Member



Last updated 14 August 2014
©2011-2014 Sai Nivedita Chandrasekaran <nivedita.siddharth@ku.edu>