A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.


About me

Ph.D. scholar, Indian Insitute of Technology Madras



1 minute read


        Remember a time you enjoyed rain – it merrily coming from a distant, bringing the smell of sand; trees dancing to its beat, kids escaping from their mother’s clutch; the bonding we feel with nature. I sometimes ask myself: When did we miss this? Today, in the backdrop of floods, land-slides, and other disasters, when rain comes, all I see is fear looming in each and every eyes; wondering of floods, abandoned homes, dear ones lost, …. Where did we went wrong? Do we want to instill the same fear for the generations to come? So, this is my brick! Welcome all.

Want a similar webpage for yourself?

3 minute read


        During my “first” friendly yet long encounter with html scripts, I often asked myself: “Why endure this long fight?”. Every time, I shyly answered: To make someone’s long fight short. For not fooling myself, or along the first principle of Ricahrd Feynman that you must not fool yourself – and you are the easiest person to fool., a blog post is born – to help you with your website. For those who are going ahead, wish you a Happy Website building! All are welcome.





Lectured on various topics in Deep Learning

Lab Talk, IIT Madras, EE Dept., 2015

This Lecture Series started at a time when Deep Learning was taking off, and it aims to explain the (then) emerging field of Deep Learning for the (then) members of Image Processing and Computer Vision Lab and Computational Imaging Lab, headed by Prof. A. N. Rajagopalan and Prof. Kaushik Mitra, respectively.
                Here, the first lecture introduces Deep Learning (L1), later, followed by a doubt-clearing session (L1.1). Lecture 2 covers Convolutional Neural Network (L2), and Lecture 3 provides a mathematical interpretation of Deep Learning; O Lost! This series is concluded with Lecture 4, which discusses several Deep Learning approaches for Image Processing. [Slides-L1] [Slides-L1.1] [Slides-L2] [Slides-L3] [Slides-L4]

Mentored two undergrad students towards the best Deep Learning course-project

Graduate Course (Deep Learning), IITM, EE Dept., 2017

Here, I proposed a problem statement Efficient Sketch Classification for Resource-constrained platforms, and designed a research plan for the same. Undergrads Akshit Kumar and Sachin Agrawal joined with me and finally got recognition for the best Deep Learning course-project. Presently, both the students are continuing research in Deep Learning; the former is a Master's student at the University of Michigan, US, and the latter is a Data Scientist at Daimler, Germany. [Slides]

Mentored (with Prof. A. N. Rajagopalan) a project associate towards a funded project.

Funded Project, IITM, EE Dept., 2018

Lots of accidents happen while exiting a vehicle from its side doors, for it is difficult to ensure whether another vehicle(s) are coming from behind and how fast it is. This project attempts to solve this issue; project associate Madumithra Krishnamoorthy was incharge. Together, we employ a side view camera and propose a deployable algorithm using image processing techniques to address this. Later, she joined as a graduate research student in image processing. [Demo]