TEACHING

Optimization Methods in Machine Learning (CS6230)
Fall 2018
Applied Machine Learning (CS6510)
Fall 2018
Deep Learning (CS5480)
Spring 2018
Applied Machine Learning (CS6510)
Fall 2017
Optimization Methods in Machine Learning (CS6230)
Fall 2017
Topics in Deep Learning (CS6420)
Spring 2017
Deep Learning for Vision (CS5370)
Spring 2017
Applied Machine Learning (CS6510)
Fall 2016
Optimization Methods in Machine Learning (CS6230)
Fall 2016
Linear Algebra, Mathematical Foundations of Data Science (CS6660)
Spr 2016
Advanced Topics in Machine Learning: Deep Learning (CS6360)
Spr 2016
Computer Vision (CS5290)
Fall 2015
Numerical Linear Algebra for Data Analysis (CS5270)
Spr 2015
Visual Recognition (CS5230)
Fall 2014
Introduction to Database Management Systems (CS3010/CS3011)
Fall 2013, Spring 2014
Human-centered Computing: Assistive Technologies (CSE 591) Fall 2012
Guest Instructor, Multimedia Information Systems (CSE 408)
Topics related to image and video compression.
Fall 2011

TUTORIALS

  • Active Learning for Multimedia Content Analysis, Tutorial presented at IEEE International Conference on Multimedia and Expo (ICME’13), San Jose, CA, Jul 2013. Co-organizers: Shayok Chakraborty, Sethuraman Panchanathan (Arizona State University, USA)
  • Applied Machine Learning,Tutorial presented at International Workshop on Computer Vision and Machine Learning, Sri Sathya Sai Institute of Higher Learning, Andhra Pradesh, India, Dec 2012.

OTHER

Teaching Associate
Courses: Computer Organization/Assembly Language Programming (CSE/EEE 230), Programming for Computer Engineering (CSE 220), Introduction to Theoretical Computer Science (CSE 355)
* Nominated for ASU GPSA Teaching Excellence Award by students in Spring 2010 *
Fall 2005 - Spring 2010