Amarpal Sahota

Amarpal Sahota

PhD Student in Interactive AI

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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

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This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

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Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

A Time Series Approach to Parkinson’s Disease Classification from EEG

Published in AAAI Health Intelligence Workshop (pending publication in Computation Intelligence Springer Book Series), 2023

We use Electroencephalography (EEG) data to detect early stage Parkinson’s Disease. Firstly, we present a novel representation for EEG data, a 7-variate series of band power coefficients, which enables the use of (previously inaccessible) time series classification methods. Our approach achieves over 90% accuracy, recall and precision which rivals state of the art methods. This is particularly impressive given the early stage Parkinson’s Disease participants and limited optimisation of the model thus far. Secondly we present a framework for determining the importance of individual brain regions in Parkinson’s Disease classification. We find that across different EEG data types, it is the Prefrontal brain region that has the most predictive power for the presence of Parkinson’s Disease

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talks

teaching

Introduction to Machine Learning

Postgraduate course, University of Bristol, Computer Science Department, 2022

Teaching Assistant for MSc course covering Machine Learning methods across supervised learning (classification and regression), probabilistic methods (Bayesian networks and Markov decision processes) as well as genetic algorithms and multi-agent systems. Key responsibilities included running problem sheet classes and assessing final projects. Please find further information on the course here

Machine Learning

Undergraduate course, University of Bristol, Computer Science Department, 2022

Teaching Assistant for final year undergraduate course covering Machine Learning methods across supervised learning (classification and regression), probabilistic methods and ensemble methods. Key responsibilities included running problem sheet classes and assessing final projects. Please find further information on the course here

Advanced Data Analytics

Postgraduate course, University of Bristol, Computer Science Department, 2023

Teaching assistant for postgraduate Advanced Data Analytics course. This course spans machine learning methods, data visualisation techniques and Natural Language Processing (NLP) methods. Machine learning methods covered range from dimensionality reduction and clustering to probablistic models and deep-learning neural networks. Data visualisation is primarily done via Python and Tableau. NLP methods covered include Long Short Term Memory networks, Recurrent Neural Networks and Transformers. Please find further information on the course here