Akshit Achara

GE Healthcare, Bangalore

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I am a Research Engineer working with the AI Research team at GE Healthcare, Bangalore, India. I am primarily working on developing NLP techniques for patient reports to aid in timeline based patient journeys.

My research interests broadly lie in reducing complexity of deep learning systems without compromising the generalization capabilities.

I also spent a summer developing rminizinc: an interface to MiniZinc in R, advised by Prof. Lars Kotthoff , Mr. Hans W. Borchers and Prof. Guido Tack.

Prior to GE, I pursued MSc. Mathematics from BITS Pilani. I did my Master’s thesis at TU Munich, advised by Prof. Markus List, where I worked on developing machine learning frameworks for benchmarking sequence based miRNA tools.

I also did two summer internships at GE Healthcare, working on real-time montioring applications and fast MRI scans respectively.

In my spare time, I play sports (primarily Cricket and Football), listen to music and catch-up with my friends.

news

Mar 21, 2024 I am always looking for research collaboration opportunities on robust, data-efficient and interpretable deep learning. Feel free to email me!
Jan 11, 2024 Our paper entitled “Revealing the Underlying Patterns: Investigating Dataset Similarity, Performance, and Generalization” has been published at Neurocomputing.
Dec 8, 2023 Our paper entitled “TrueDeep: A systematic approach of crack detection with less data” has been published at Expert Systems with Applications.
Jun 30, 2023 Our paper entitled “CoreDeep: Improving Crack Detection Algorithms Using Width Stochasticity” has been accepted at CVIP, 2023.