Parisa's Journey

About

S. Parisa Daj. is a doctoral candidate in Computer Engineering at the University of Memphis. Parisa is interested in image processing, deep neural networks (DNNs) and autonomous navigation planning. Her current research includes vision-based positioning and navigation of a UAV for stream assessment using various AI tools such as Siamese deep neural networks for image processing, and dynamic movement primitives (DMPs) for navigation. She loves coding, especially if it is AI! 

She obtained her master's also in Computer Engineering at the University of Memphis. Her master thesis was on Microscopic Image Reconstruction Using Unrolled Physics-informed Generative Adversarial Network (UPIGAN). 

She has completed her undergraduate degree in Electrical Engineering, minor in Control Engineering at Amirkabir University of Technology (Tehran Polytechnic), Iran. As an undergraduate, she was the leader of the Electronics group in the Parsian Research Laboratory helping with designing small-sized soccer robots for International RoboCup champions.  She spent her internship designing and programming an electronic board for a quadcopter. Then, she joined the Control of Multi-Vehicle Systems Laboratory (CMVS) to complete her BSc thesis: “Indoor Autonomous Landing of a Quad-rotor with Video Processing”. Meanwhile, she was able to achieve a grant from the Presidential Scientific and Technological Vice-Presidency by submitting a proposal for the big picture project of the lab: “Design an autonomous quad-copter with auto-charge to increase flight time for inspection of transmission lines”.

During studying at college and after graduation, Parisa has been teaching Computer Programming for almost 8 years at schools dependent on the national organization for the development of exceptional talents (NODET). After graduation, she worked as the team leader in the robotics group of Part AI Research Center. Almost at the same time, she was introduced to the international event “Neuromatch Academy”, an online event for learning about computational neuroscience, and after participating in one event, she became a TA the year after in the summer school, where she found interest in medical imaging applications.

Certificates and Awards