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Pages

Posts

Blog Post number 4

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 3

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 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

Interaction recognition using sparse portraits

Published in International Conference on Pattern Recognition (ICPR), 2014

We propose a method for classifying human-object interactions in videos by combining motion and appearance information.

Recommended citation: Bogun, I., Khan, H., Chen, J., & Ribeiro, E. (2014). "Interaction recognition using sparse portraits." International Conference on Pattern Recognition (ICPR). http://haidark.github.io/files/inter_rec.pdf

Focal onset seizure prediction using convolutional networks

Published in IEEE Transactions on Biomedical Engineering, 2017

We apply convolutional neural networks to wavelet tensors for focal onset seizure prediction using a change point detection algorithm to set the prediction horizon.

Recommended citation: Khan, H., Marcuse, L., Fields, M., Swann, K., & Yener, B. (2017). "Focal onset seizure prediction using convolutional networks." IEEE Transactions on Biomedical Engineering. http://haidark.github.io/files/seizure_pred_2017.pdf

Learning filter widths of spectral decompositions using wavelets

Published in Advances in Neural Information Processes (NeurIPS), 2018

A novel approach for end-to-end time series classification using neural networks is presented in this work. The wavelet transform is used to learn the optimal spectral decomposition of the time series for any classification task.

Recommended citation: Khan, H., & Yener B. (2018). "Learning filter widths of spectral decompositions using wavelets." Advances in Neural Information Processes (NeurIPS). http://haidark.github.io/files/wavelet_deconv_2018.pdf

talks

Neural Networks for Engineers

Published:

This workshop covered the theoretical and practical fundamentals of neural networks for engineers.

Candidacy Presentation

Published:

This talk summarized my completed thesis work on change point detection and proposed new directions.

Seizure Prediction Talk

Published:

This talk was given to a team of neurophysiologists and epileptogists at the Mount Sinai Hospital on our machine learning approach to determining the preseizure period.

Thesis Seminar

Published:

This presentation was given to a number of companies (GE Global Research, MIT Lincoln Labs, Amazon) during my job search.

KAUST AI in Medicine - Seizure Prediction

Published:

This talk was given to at the KAUST AI in Medicine conference. I was invited by Prof. Charlotte Hauser (CBRC) to present our work on epileptic seizure prediction.

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.