Osama bin Rizwan
Core Skills
- Matlab
- Python
- Public Speaking
- Computer Vision
- Data Analysis
- Data Science
- Deep Learning
- Machine Learning
- Microsoft Office
- Embedded Systems
- LabVIEW
Academic Awards / Achievements
- Stanford University International Honors Program, June 2016 - Aug 2016
Experience
Leadership / Meta-curricular
- Founding President, HU Dream Stage, Sept 2014 - Dec 2016
- Student Member, Electrical Engineering Curriculum Planning Committee, Jan 2018 - May 2018”
Internship / Volunteer Work
- Teaching Assistant, Department of Computer Sciences, Sept 2015 - Dec 2015
- Intern, Siemens Pakistan, May 2017 - June 2017
- Team Manager, TEDx Habib University, Dec 2016 - May 2017
Final Year Project
Project Title
Project Atmos - Urban Ambient Air Quality Monitoring: Providing Karachi with Cleaner Air
Description
According to a WHO 2016 report, Karachi ranked fifth in the cities with the worst air quality in the world, causing various chronic pulmonary and cardiac diseases. With a rising population and waste incineration, the future seems bleak. Tackling such a widespread issue will come from awareness based on accurate representation of the problem, which has, however, never been generated on a city-wide scale. Our work has been on the development of an urban sensor network for monitoring Karachi’s air quality in real-time that can also run safely for long periods of time with minimal maintenance. This capstone design project is being done in collaboration with a business conglomerate, which is helping in the implementation of a city-wide sensor network. Real-time data produced by the sensors will be available to the public. The next task in this project is to develop machine learning systems that will predict the potential rise in pollution and will inform the public of possible ameliorative measures. This work can be followed on: project-atmos.herokuapp.com and is a joint project with Muhammad Hammad Siddiqui and Syed Jahanzeb Ibrar.