Mohammad Alzyout

Mohammad Alzyout earned his Master's degree in Computer Engineering from Jordan University of Science and Technology (JUST) in 2019. His master's thesis focused on an ARIMA-based dynamic vehicle location prediction system for DSRC-based V2V communication systems. With a Bachelor's degree from Tafila Technical University (TTU). Currently, He is pursuing a Ph.D. in Electrical and Computer Engineering at Oakland University, Michigan, specializing in electrical and computer engineering. His ongoing project involves replicating real environments using LiDAR sensors and digital cameras to build digital twins on the Unreal Engine, simulating them in virtual reality.

Thesis Topic: TBA

Yashwanth Naidu Tikkisetty

Thesis Topic: Semi-Automated Workflow Design For Data Acquisition And 3D Model Reconstruction Using Photogrammetry For VR Applications

Lei Zeng

Thesis Topic: GPU-based Accelerated Algorithms for the Power Flow Calculation

Giribabu Sinnapolu

Thesis Topic: Hear Device for Electrical Activity of The Heart: Computation Towards Cardiovascular Diseases Using Novel Comma-Z Classifier and GPU for Automotive

Karam AbuGhalieh

Thesis Topic: AI-Based System for Predicting Pedestrian Intention to Cross the Road

Conner McInnes

Thesis Topic: Using CUDA to Expedite the Gabor Transform

Ayomide Yusuf

Thesis Topic: GPU Implementation for Robust Lane Tracking in Self Driving Cars

Sara Ayubian

Thesis Topic: GPU-Based Monte-Carlo Simulations for Calculating Design Sea Ice Loads