Akshit Achara
I am a doctoral candidate associated with the Motion Modelling & Analysis Group at King’s College London. My interests broadly lie in all aspects of deep learning. I am currently working on fairness in deep learning with special focus on medical imaging.
Previously, I was a Research Engineer at GE Healthcare, Bangalore, India where I primarily worked on NLP approaches for timeline based report summarisation.
Prior to GE, I pursued MSc. Mathematics from BITS Pilani. I did my Master’s thesis at TU Munich where I worked on developing regression based approaches for benchmarking sequence based miRNA tools.
In my spare time, I play sports (primarily Cricket and Football), listen to music and catch-up with my friends.
I am always looking for research collaboration on fundamental problems in deep learning. Feel free to email me!
news
| Jun 25, 2024 | Our paper entitled “Efficient Biomedical Entity Linking: Clinical Text Standardization with Low-Resource Techniques” has been accepted at the BioNLP Workshop @ ACL 2024. |
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| 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. |