Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
Rashed  Iqbal

Rashed Iqbal
Adjunt Professor Data Science , UCLA

Website

Rashed Iqbal, Ph. D is a Program Manager, Data Solutions at Teledyne Technologies in California. He has two areas of interest and expertise: Data Science and Machine Learning, and Transitioning Traditional Organisation to Agile and Lean Methods. He practices, consults, and teaches in these domains.

He is an Adjunct Professor in Economics Department at UCLA where he teaches graduate courses in Data Science. Rashed also teaches Deep learning and Natural Language Processing / Understanding at UC Irvine.

Rashed undertook multiple entrepreneurial ventures in these areas. His current area of research is Narrative Economics that studies impact of the popular narratives and stories on economic fluctuations. He is using Natural Language Processing/Understanding and Deep Learning to extract narratives in human communication. He believes narrative extraction will revolutionize process of human communication to which Narrative Economics is just one of the applications.

Rashed has a Ph.D. in Systems Engineering with focus on Stochastic and Predictive Systems and holds current CSM, CSP, PMI-ACP, and PMP certifications. He is also a Senior Member of the IEEE.

Sessions

16:3517:15 Wednesday, 23 May 2018
Data science and machine learning
Location: Capital Suite 10/11 Level: Non-technical
Naveed Ghaffar (Narrative Economics), Rashed Iqbal (UCLA)
Narratives are significant vectors of rapid change in culture, in zeitgeist, in economic behaviour. Introduced formally by Professor Robert Shiller in 2017, Narrative Economics studies the impact of popular human-interest stories on economic fluctuations. We present a framework that uses Natural Language Understanding for extracting and analysing narratives in human communication. Read more.