Alex Redei

Pearce Hall 410 - Central Michigan University Mount Pleasant, MI 48859 United States of America

989 774 3713

Welcome to my webpage. I am working as a professor in the department of computer science at Central Michigan University where I have established the Redei lab on aviation safety. I graduated with a PhD in computer science at the University of Nevada- Reno under professor Sergiu Dascalu. My research interests include flight simulation, life science robotics, real estate, and artificial intelligence.

The Redei lab’s primary research thrust is in flight simulation. My lab researches pilot training and aviation safety. We simulated flight formations of the Blue Angels at Aviation Roundup Airshow in 2018. Our research into aviation safety has been highlighted on radio programs and in print.

As director of software, I flew across the US, Brazil, Switzerland, and Australia supporting key customer accounts totaling $8 million in sales. I led the technical aspects of Hamilton Reno’s EasyPunch, IDStarlet, and AutoLys platforms. I setup the forensic lab in Sydney, Australia, a massive project which automates all sample lysis for the entire state of New South Whales (an area 20% bigger than the state of Texas).

This is my online portfolio. Learn more about my research, my classes, and how to hire me.

Filtering by Tag: Fall2019

CPS 410 - Software Engineering

May 08, 2020  /  Alex Redei

CPS 410 covers the fundamentals of good software practices. Unlike math-heavy data structures or analysis of algorithms, this course focuses on the human aspects of software development. Students go through the entire software process lifecycle (requirements elicitation, design, implementation, testing, maintenance) and experience what it is like working in a team to gather requirements.

Projects this semester:

  1. Parking Tracker App Utilizing Machine Learning and Computer Vision for Parking Space Tracking of Lot 48 of CMU’s Campus

  2. Virtual Reality Enabled Self Defense Simulator for Krav Maga

  3. Python-enabled AR Drone 2.0

  4. 2D Platformer Game “The Blob”

  5. “That’s What She Said” - A Double-Entendre, Machine Learned Jokester

  6. Mobile Game: “Struggle Bus”

  7. Blockchain-Verified P2P Messaging

  8. Finance Valuation Helper

  9. A Java Dashboard for High Mobility Motion Simulators

  10. Mobile App: Tutoring of Advanced Computer Science Coursework

Number of students: 36
Overall Instructor Effectiveness Score (3.74 / 4)
Ranked 2nd highest in the department!

 

categories / Courses
tags / Fall2019

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