Mehrdad Mokhtari

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Co-instructur and co-developer of "SFU Data Fellowships: AI Essentials"

Machine Learning / Big Data Consultant at Big Data Hub, SFU

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Image Captioning with RNN-based Attention (NLP & Vision)

Example captions generated by the proposed model:


Machine Reading: Named Entity Recognition-Prep (NLP)

Co-occurrence network of “Person_name” and “Place_name” entities:


Music Recommendation System with Adjustable Attributes (Recommender Systems & NLP)

The proposed recommendation algorithm using user-based CF with user-tuning option:

“Music is the shorthand of emotion.”

– LEO TOLSTOY


M.Sc. Thesis: Trajectory Path Prediction of AIMD Simulations with RNN-based Algorithms (Time Series Forecasting & Computational Chemistry)

View this article on arXiv

Predictions of the trajectory of the an atom in the studied compound and total potential energy by (a) GRU and (b) LSTM compared to AIMD baseline:

3D visualization of the studied polymer trajectory before reaching the equilibration:


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SFU Data Fellowships: AI Essentials