Disaster Watch

Real-time text stream processing, Natural Language Processing

Disaster Watch is a crisis mapping platform that collects data from twitter, extracts disaster-related information from tweets, and visualizes the results on a map. It enables users to quickly locate information in different geographic areas at a glance, and to determine physical constraints caused by the disaster, such as non-accessible bridges or roads, and take an informed action. Such information helps both public officials and disaster responders (e.g., humanitarian organizations, disaster relief agencies, or local actors) answer the following questions

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Traffic Watch

Object detection, Time series predictions, Geospatial Mapping

Traffic Watch is built using free and open source software, open standards, and open data - YOLO, TensorFlow 2.0, NodeJS and Express, VueJS, Vuetify, and Mapbox GL JS are used to create the system components. It collects camera images from the City of Calgary’s open data website every 5 minutes, analyzes them using a machine learning models built by YOLO and TensorFlow 2.0, and displays results on a map

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Advanced Fuzzy Clustering for Reservoir Rocktypes

Fuzzy possibilistic C-means clustering(FPCM) algorithms new developed similarity fucntion

This is the industry's first fully automated reservoir rock typing software to help geoscientists rapidly classify dynamic reservoir rock types to obtain accurate rock flow data. Its visualization, processing, and classification of CCAL and SCAL rock data enables improved description of reservoir flow behavior and faster understanding of static and dynamic rock properties that impact production.

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Predictive Pore Scale fluid flow Simulator

High Speec C++ Pore Scale flow Simulation

I have developed an advanced predictive nano-scale numerical simulator which can be considered to be among the most advanced of their type, particularly for modeling wetting films and layers and unsteady-state flow dynamics. Depressurization pore-scale physics has been extensively studied and detailed pore and throat network models have been developed for analyzing fluid flow behavior in light and heavy oil systems.

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ResAssit

Smart Automated DataBase to Simulation Coupling

The ResAssit uses a simulation-based real-time planning system which are tested for performance and proved excellent preformance under common conditions.It is Compatibel with a variaety of database technologies including MySQL,SQL Sever,Postgres and MSAccess

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EOR Select

Inteligent EOR Screening Tool

Evaluating the feasibility of different EOR methods simply deciding which EOR method is the most suitable for your reservoir can be a daunting task. Only with the right expertise, technical knowledge and resources these challenges can be tackled. EORselect provides fast,reliable and intelligent enhanced EOR screening solution tool that helps you find the most reliable solutions for your screening taks

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AWS Certified Machine Learning Speciality

AWS Certified Developer

AWS Certified Solution Architect

Professional Data Science Certificate

Data Science Certificate

Tripple Byte

Scored in the top 10% of test takers on the Triplebyte assessment for Data Science Engineering

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Databases and SQL for Data Science