Kasra Ahmadi

• Ph.D. Student
• Department of Computer Science and Engineering
• University of South Florida

  Office: ENB 323, 3820 USF Alumni Drive , Tampa, FL, 33620

Email: ahmadi1 [at] usf [dot] edu

  Linkedin / Github / Youtube / Google Scholar / Resume

I am third-year PhD student in the Department of Computer Science and Engineering at the University of South Florida, Tampa, Florida under the supervision of Dr. Mehran Mozaffari Kermani.

My interest are Data Engineering, Cloud based software solutions, Applied Cryptography and Error Detection over classical and Post Quantum Cryptography schemes.

Currently I'm looking for an internship position as software engineer or data engineer to work on challenging problems.

Education

Certifications

Projects

• AI Integrated Elevator

  • Analyzed optimal floor levels for elevators at specific times to reduce passenger wait times using machine learning techniques, such as Logistic Regression and KNN. Utilized data-driven approaches to enhance elevator efficiency and passenger experience.
  • Establishing a connection between Raspberry Pi embedded boards and elevators through the CAN bus protocol for the real-time data transfer of elevators to a Linux-powered IoT. Building ETL pipelines by using Apache airflow to extract, ingest, and load elevator traffic data to an OLAP storage.
  • Performing Data visualization, big data analytics and statistical modeling on elevators traffic data.
  • We decreased hotels passengers’ waiting time by 27%, equating to a time savings of 11 seconds per passenger.
  
  

  File Sharing Market Based on Ethereum Network

  • Deployed a web3 application for a file-sharing marketplace, leveraging the IPFS and Ethereum smart contracts.
  • Implemented a decentralized dispute resolution mechanism to effectively address conflicts between users within the marketplace.View project.
  
  

  Secure Microchip Microcontrollers Remote Programmer Application

  • Developed and designed a QT/QML application for Paar Lift Company along with a server API using Node.js to enable secure programming of Microchip microcontrollers.
  • Hex files were stored securely on the server using AES256 encryption, and a robust authentication process was implemented to ensure access to these files.
  
  

  GPS Tracker Module

  • Utilized STM32 and Arduino for the hardware implementation. Additionally, Node.js was employed for the server API.
  • One of our challenges in this project was to control the power consumption of ESP8266 module to increase battery life of the embedded system.



• Android Java based Game

  • Designed and developed an online Android game (Footxam) by using Java and it's API with Node.js.

Services