Amir Makhshari | Experience

Research Experience

Systematically characterizing IoT test suits in different layers of IoT architecture (device, edge, cloud, app) and from different angles (component-under-test, test level and quality)
Proposed a bug taxonomy for IoT with Root Cause Analysis (RCA) of more than 300 IoT bugs (published in ICSE).
Systematically characterized the development challenges in IoT with interviews and survey with more than 200 IoT developers involved (published in ICSE).
Provided an IoT bug benchmark consists of 323 labeled IoT bugs which is evaluated as Reusable by ICSE artifact evaluation committee (published in ICSE Companion ).
Conducted a large-scale automatic categorization of IoT-related StackOverflow discussions using Latent Dirichlet Allocation (LDA) Topic Modeling technique.
Proposed an automatic test case generation technique for IoT systems, using path coverage of IoT SmartApps code. Experimented on AWS and SmartThings IoT platforms.
Proposed a Testing Tool for Stress Testing IoT systems. This tool utilizes System Modeling using IoT system specifications based on W3C standards, and provides web-based graphical insights on IoT System Reliability based on various software engineering quality metrics such as MTTF, MTBF, and MTTR.

As a PHP back‑end developer, was responsible for testing and code maintenance of more than 100 micro‑services in the IoT platform.
Solved known bugs in the permission system, improved the event logging and error management by debugging other developers’ buggy code.
Worked closely with the clients and the IoT core team to successfully pass the load requirement of handling 5000 concurrent nodes.

Designed and implemented a JavaScript IoT hub server and an iOS/Android mobile app using React Native for an IoT-based monitoring system for remote TV transmitters.
Consistent team‑work with the hardware engineering team for testing and deploying the product with real on‑site TV transmitters.

Built an iOS application to control smart light bulb devices in our office remotely.
Worked closely with the project supervisor and the back‑end team to design APIs in Java, that allow other developers to query the IoT lamps.

400-level course- Department of Computer Science at UBC.
Mentoring students during interactive web development workshops and labs about front‑end development (React.js), back‑end API development (Express.js), and NoSQL databases (MongoDB).

300-level course- Department of Computer Science at UBC.
Working directly with Stakeholders from HSBC bank and two large student groups to deliver an email campaign service following a Waterfall SDLC methodology and using AWS services such as Amplify, DynamoDB, SES, and S3.

400-level course- Department of Computer Science at UBC.
Responsible for directing five student groups towards developing static and dynamic source code analysis tools, applying design patterns, and developing self-defined domain‑specific languages all in Java.