Kazem Jahanbakhsh, PhD


I'm a technology entrepreneur. I completed my PhD in computer science. Have an academic background in machine learning, natural language processing, algorithm design, and social networks analysis. My research focus is on extracting insights from [big/small] data which can be turned into valuable business actions. I was lucky to have Dr. Valerie King and Dr. Ali Shoja as my PhD supervisors.

Since 2012, I have been designing machine learning algorithms to personalize and optimize digital ads. This is done by real-time analysis of a large volume of ads' impressions/conversions data collected from users interactions with ads.

I have industrial research experience in designing and implemening NLP models such as topic modeling, NER, sentiment analysis, and spam detection. Also, have experience in designing predictive models to forecast results of political elections and flu outbreaks by mining/analyzing unstructured data from social media websites such as Twitter.

I have also industrial experience in fraud detection space where I was involved in design and implementation of machine learning algorithms to process people online behaviour to classify fraudulent accounts from authentic ones.

View the list of my previous work in the areas of machine learning and natural language processing: Kazem's Publication

See the latest version of my CV: Kazem Jahanbakhsh's CV

Here is the word cloud of my past research projects:

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Link to: Contact information.


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Contact Information

Kazem Jahanbakhsh
Link to My GitHub
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