MS Thesis

Firas Al-Hindawi_MS Thesis.pdf

Thesis Manuscript


Image-based deep learning (DL) models are employed to enable the detection of critical heat flux (CHF) based on pool boiling experimental images. Most machine learning approaches for pool boiling to date focus on a single dataset under a certain heater surface, working fluid, and operating conditions. For new datasets collected under different conditions, a significant effort in re-training the model or developing a new model is required under the assumption that the new dataset has a sufficient amount of labeled data. 

This research explores supervised, semi-supervised, and unsupervised machine learning strategies that are formulated to adapt to different scenarios. The project consists mainly of two phases:

Phase I: studies the scenario of when the new dataset has limited labeled data available. This scenario was addressed by employing Convolutional Neural Networks (CNNs) and Transfer learning (TL) to tackle such situations.

Phase II: studies the scenario of when the new dataset has no labeled data available at all. In such cases, this research presents a generalized framework where any Unsupervised Image-to-Image (UI2I) translation model could be deployed to generalize a pre-existing classification model by adapting the new dataset to look like it came from a domain similar to the one that the classification model is familiar with.

The approaches presented are the first of their kind to utilize TL and UI2I to solve the boiling heat transfer problem within the heat transfer community and are a step forward towards obtaining a one-for-all general model.

Firas's Defense Presentation Slides

Thesis Defense Presentation Slides

Thesis Defense Presentation Video

IEE 574 Project Report.pdf
IEE 578 Project.pdf
IEE 577 Project.pdf
Final Project_Report + cleaned code.pdf
Firas Al-Hindawi - Project.pdf
IEE 561 Project.pdf
IEE 598 - Extended Abstract.pdf
_Graduation Project: Selecting Six Sigma Projects-An Aggressive and Benevolent Data Envelopment Analysis Application.pdf

Graduation Project:

Machine Element Design Project-Electrically Motor Powered Car Jack Design.pdf
Machine Element Design Project-Conveyor Belt Application and Design.pdf
Systems Dynamics and Control Project-PID Tuning of Temperature Microcontrollers.pdf
Facilities Planning project part 1-Pre-feasibility study for a Wrist Watch Manufacturer.pdf
Facilities Planning project part 2-Product, Process and Schedule Design For a Wrist Watch Manufacturer.pdf
Facilities Planning project part 3-Material Handling and Facility Layout For a Wristwatch Manufacturer.pdf
Engineering Quality Control - Lafarge Concrete.pdf
Engineering Statisics 2 - Class Project.pdf
Motion and Time Study Project-Sama Mineralized Water Factory.pdf

 Android & Desktop Apps Projects

Purchasing System for SATS Lounge:

Proctoring App Project (Staff's version):

Proctoring App Project (student's version):

Automated Measurements Report (Excel Sheet Based using VBA):