Maryam Saleem
Maryam Saleem
Computer Vision, Deep Learning, 3D Keypoints Estimation, 3D Object Reconstruction, Imaging techniques
As a motivated and resourceful Engineer with a strong background in electrical and computer science, I am eager to transition into a role with greater responsibility in the fields of Machine Learning and Deep Learning. I am particularly interested in positions that align with my research on computer vision, specifically in 3D object understanding through geometrical reasoning, including object shape and pose estimation, and supervised 3D keypoint extraction from point clouds.
2020 - 2023: MSc. Mechatronics & Control Engineering (CGPA 3.5/4)
Research Topic: 3D Shape Completion from Partial Point Clouds using a Deep Learning Model
Problem Statement: To develop a supervised approach that estimates geometrically and semantically consistent keypoints when a partial point cloud is provided as an input.
2015 - 2019: BSc. Electrical (Power) Engineering (CGPA 3.84/4)
Department of Electrical Engineering, Bahauddin Zakariya University, Multan
Final Year Project: Power System Load Management and Home Automation using Arduino Mega (2560)
Problem Statement: To give a solution regarding power management that overcomes the problem of power shortage. The countries like Pakistan should manage their energy requirements in an efficient way so that they can minimize energy shortfalls.
Jan 2024 - To date: Department of Mechatronics and Control Engineering, University of Engineering and Technology, Lahore, Pakistan [Teaching Fellow (Junior Lecturer)]
Courses:
Computer Programming - II (Python)
Basics of Python Programming
Object Oriented Programming
GUI
Digital Logic Design
Electric Circuits
Sep 2022 - Aug 2023: Human-Centered Robotics Lab, UET Lahore [Researcher]
Worked here during M.Sc research.
Tasks: 3D shape completion from partial point clouds and estimate the keypoints on the estimated complete shape.
Feb 2022 - Aug 2022: Velosi Integrity & Safety Pakistan Pvt. Ltd. Lahore [Electrical Engineer]
Reliability Centered Maintenance Department
Tasks: Asset Register as per ISO-14224, Equipment Criticality Analysis (ECA), Failure Mode Effects and Criticality Analysis (FMECA)
M. Saleem, M. Zohaib, S. Abbas Zilqurnain Naqvi, "Keypoints Estimation on Partial Point Clouds", International Conference on Robotics and Automation in Industry, 2024 [Published]
Published in International Conference on Computer Vision (ICCV), 2023
Description: I have evaluated his approach (SC3K) on partial PCDs and produced the required results. To do so, I have estimated dense shapes from the partial PCDs using the first module of my M.Sc work. I have also acknowledged in the paper and the project page of Mohammad Zohaib.
Python, PyTorch, Open 3D, MAROS, C/C++, Simulink, Microsoft Office