About me

Biography

I was born in 2000 in Sirsa, chillin’ in the far-west vibes of Haryana, India.

Currently, I’m on a research hustle at the Indian Institute of Technology Indore, under the mentorship of the amazing Prof. Aruna Tiwari. My research game is all about pushing the limits of machine learning. I’m crafting next-level algorithms to optimize experimental setups, blending in cool techniques from probabilities and cutting-edge deep learning.

My main gig revolves around supercharging neural networks, especially diving deep into Generative Adversarial Networks (GANs) and Diffusion Models. These are game-changers, seriously amping up how neural networks can crunch through complex data. It’s all about speeding up how we make big scientific breakthroughs. On the side, I’m driving new projects, taking the wheel in fresh machine-learning and deep-learning moves, especially in the wild world of computer vision and understanding videos.

Research

I’m fully immersed in deep learning, diving deep into the realm of generative adversarial networks (GANs) for Video Anomaly Detection and Video Understanding.

Being part of the powerhouse team at IIT Indore, we’ve been on a research marathon for the last couple of years. The fruits of our labor: two rock-solid journal publications and two conference hits.

In our debut project, we unlocked GAN wizardry to level up Video Anomaly Detection using Spatio-Temporal Models. But that was just the warm-up. We birthed VALT-GAN, VALD-GAN, and MAAD-GAN—tuned to vibe perfectly with predefined distributions. The result? Authentic, meaningful video frames that resonate.

We also dropped a game-changer—an adversarial trained denoising GAN Autoencoder, ready to rock the real-world video surveillance scene. And for that extra image quality oomph, we hit it up with the Iterative Fast Gradient Signed Method (IFGSM).

Oh, and our discriminator? We fine-tuned it to zero in on the main act with some slick layer-wise self-attention. 💪🔥

Conferences? Yeah, I’m all about ‘em. Constantly soaking in the latest deep learning wisdom to keep my game strong. Check out my conference journey here.. 🚀