Hello, I'm Twaha! I'm a PhD student (2017 - Present) in UC Irvine's Computer Science Department.
I'm working with Prof. Aditi Majumder in the iGravi Lab. My research interests lie in the overlap of computer vision, graphics and visualization. My current research is in the domain of real-time multi-projector display systems that adapt to changing surface geometry and their application to projection-based augmented reality systems for creating interactive 3D experiences.
Before joining UC Irvine, I worked at Epic Systems, a healthcare software company, as a software developer on their surgical management team. In summer 2018, I had a great time at Google's Mobile Vision team working on face recognition.
I received my Master's degree in Electrical and Computer Engineering from Cornell University, where I was advised by Professor Tsuhan Chen. I did my bachelors in Computer Systems Engineering from NUST University.
Reach out to me at muhammti at uci dot edu.
Research Focus: Real-time, surface-adaptive multi-projector display systems & projection-based augmented reality systems for creating interactive 3D experiences.
M-Eng. Project: Quadcopter control using Comptuer Vision. Awarded honorable mention at Cornell ECE Day 2014.
Final Year Project: Digital Drawing Board using a Projector-Camera pair. Awarded second place in Microsoft-Pakistan Imagine Cup 2011.
I am responsible for researching and developing algorithms for creating high-resolution, seamless multi-projector display systems, improving the system runtime efficiency by exploiting GPU and multi-threading paradigms. Additionally, I also manage a team of engineering interns to develop new algorithms and modules.
I designed, developed and evaluated a face recognition system using deep learning and convolutional neural networks. I presented results to the team and recommended potential ways to further improve recognition.
I was responsible for designing, developing and maintaining Epic’s surgery management software suite. I also frequently visited customer sites to provide support and gather requirements for designing new functionality.
I researched on panoramic video and super resolution cameras using Raspberry Pi boards. I constructed the video rig, implemented and analyzed the performance of multiple color correction algorithms on panoramic video.
I was responsible for researching and developing an image stitching software in a joint project with ETRI (South Korea). My research was published in a conference paper, a journal paper and we also filed a patent. As a teacher assistant, I co-developed and managed Verilog lab work for 75 students at graduate and undergraduate levels.