Research Ideas | Psyops Prime

Search Based Software Testing Using JUnit

February 16, 2017 admin FYP Ideas, Ideas, Machine Learning, Research Ideas, Science, Spirituality

I was talking about JUnit the other day. I heard a few voices from the audience asking about a significant benefit of JUnit. It appeared

Of Randomly Generated Ideas

January 10, 2017 admin Consciousness, FYP Ideas, Ideas, Philosophy, Research Ideas, Science, Spirituality

A few days back, I was traveling with a friend in his car. He was driving and I was sitting right beside him. Apart from

Neural Correlates of Spontaneity

December 12, 2016 admin Consciousness, FYP Ideas, Ideas, Research Ideas, Science, Technology

Boredom can be blissful at times. It pushes you in solitude. And in solitude, great ideas can happen. A month ago I was sitting alone

Solar SImulations

November 27, 2016 admin FYP Ideas, Ideas, Research Ideas

One of my much cherished research goals is to work in the area of renewable energy systems. I am quite intrigued by the recent developments

Social Software

December 8, 2015 admin FYP Ideas, Ideas, Research Ideas

A few days back I thought about what could happen if we treated software as social beings. Then I thought why we couldn’t do that.

Implementation of Non-Intrusive Speech Quality Assessment Tool on a Mid-Network Device

November 18, 2015 admin Computer Networks, Ideas, Research Ideas

I delivered the following couple of presentations somewhere in 2005 to my research group. The ideas presented in it could be used for further research.

Modelling the Effect of Packet Loss on Speech Quality: Genetic Programming Based Symbolic Regression

November 18, 2015 admin Computer Networks, Research Ideas

I delivered the following couple of presentations sometime in 2006. The ideas presented could be used to do some further research. Photo by diskychick

Evolutionary Art

November 5, 2015 admin Education, FYP Ideas, Ideas, Machine Learning, Research Ideas, Reviews, Technology

I have been obsessed with evolutionary algorithms for quite some time now. This obsession is not without reason, however. Despite their lucidity, evolutionary algorithms can