Hassan Saeed

Worked on Robust hybrid visual odometry using opencv for autonomous driving scene. Task was to come up with the approach using machine learning that will switch between different motion models such as homography or essential matrix for right ego motion extraction, depending on the scenarios either planar or non-planar for achieving the robust autonomous visual Odometry. Tools / libraries used : OpenCV, C++, Python, Pytorch, Libtorch

Worked with the skin calibration of the NAo Robot using self-touch and self-observe methods.

Project: "Preparation of lab sessions to simulate Medical Robotics operations with a Staubli Robot TX-60" Worked on the development of a system to operate the Staubli TX-60 industrial robot using joystick instead of the complex industrial interface.

Gained skills and hands-on experience in: + IT infrastructure + VOIP telephony solution + Physical Security Controls + Information Security + Software development.

+ Quality Control of products. + Designing Solar systems according to consumers needs. + Providing solar power solution according to consumer's needs. +Designing in PV Sol, PV Syst Softwares +Load Calculation. +Experience in solar power site evaluation and electrical engineering +Profound knowledge of developing solar power schematics +Wide knowledge of layout and design tools used in solar power projects design

+ Summer placement at RKT Centre for Polymer MNT + Created an advanced automation system for dipping of microneedles for a drug delivery device. + This Drug Delivery system has an accuracy of less than a millionth of a meter.

Computer Vision and Robotics