About

I am a PhD student in the Data-driven Network and cyber Security (DANS) Lab at the University of Alberta, supervised by Dr. Euijin Choo and  Dr. Jörg Sander. My research focuses on using machine learning to improve computer security. Currently, I am working on building anomaly detection algorithms for real-time security data that can adapt to changes.

I did my M.Sc at the University of Alberta under the supervision of Dr. Jörg Sander and Dr. Murilo Naldi. My M.Sc thesis studied the behaviour of GLOSH and proposed a direction to achieve unsupervised parameter less outlier detection. Previously, I studied the impact of data-driven and structural complexities in Deep Learning under the supervision of Dr. Nathalie Japkowicz. During my undergraduate studies, I worked on imbalanced and overlapping problems in domains such as Sentiment Analysis, and Sarcasm Detection under the supervision of Prof. Sankhadeep Chatterjee. 

Want to talk about anomaly detection or clustering? lets grab a coffee!

Email:

kushanku@ualberta.ca / kush.uofa@gmail.com / kush1999.kg@gmail.com 

Links:

Ghosh@LinkedIn

Ghosh@GoogleScholar

Ghosh@ResearchGate

Ghosh@Twitter

Interesting Ideas

Outlierness from Hierarchical Density Estimates by computing λm(אx)

(links will be updated soon!!)

More about me? (Personal)

"I like to know and I like to invent."

Born?: I was born back in the summer of '99 (Summer Of '69 by Bryan Adams is one of my favorite songs). 

Favorite subject? (apart from Machine Learning): I am obsessed with the concept of 'Time' and paradoxes. I love to explore topics like 'Theory of Black Hole' and the 'Beginning of Time'. 

Books?: I like to read both fiction and non-fiction stories. I spend a lot of time reading crime thrillers and unsolved mysteries. My favorite author is Agatha Christie.

Music?: I am a music lover. I mostly listen to pop, soft rock, country music, and film scores.

Religious views?: Atheist.

One Dream?: To walk on the Moon! It is funny, unrealistic, but it is true ;-)