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Ing. Khurram Shehzad

Angestellt, Master Thesis, Universität Bremen - Institut für Automatisierungstechnik (IAT)
Bremen, Deutschland

Fähigkeiten und Kenntnisse

Python
C/C++
Git
MatLab
Microsoft Office
ROS
Computer Vision
Deep learning
Robotics
Software Development
Image Processing
PyTorch
Linux
CAD
Team work
Analytical skills
Technical Knowledge
ambitious
Communication skills
Commitment
Creativity
Responsible
independent
Fast learner
ability to work under pressure
Intercultural competence
Reliability
Motivation
Efficiency
Flexibility
willingness to learn
Organizational skills
International experience
Empathy
open minded
Conceptual thinking
reinforcement learning
SAC
Control Theory

Werdegang

Berufserfahrung von Khurram Shehzad

  • Bis heute 2 Jahre und 5 Monate, seit Feb. 2023

    Master Thesis

    Universität Bremen - Institut für Automatisierungstechnik (IAT)

    Topic: Using Reinforcement learning to compute State dependent PI State Space Controller for Non-Linear System. Skills: Reinforcement Learning · Control Theory · Stable baseline · SAC · PPO · Machine Learning · Robotic perception · Artificial Intelligence (AI) · Image Processing · Python (Programming Language) · TensorFlow · Python · PyTorch · MATLAB · Linux

  • Bis heute 2 Jahre und 9 Monate, seit Okt. 2022

    Studentische Hilfskraft

    Access e.V.

    Project: GABRIEL ( GAnzheitlicher, HyBrid-ElektRIscher AntriebskomponEnten für die Luftfahrt ). - Alignment of several 3D Point clouds with two variants. - Different 3D Point clouds alignment approaches i.e. ICP (Iterative Closest Point), classical image processing approach of H-matrix transformation. - Used Pandas API to rearrange data frame from output. - Develop Python packages for embedding and extending MATLAB and C++ scripts.

  • 10 Monate, Dez. 2021 - Sep. 2022

    Studentische Hilfskraft

    DFKI GmbH

    Project: SeMoSys (Virtuelle Sektionsmontage und Systeminstallation). - Generating 3D model from 2D images set (ongoing task). - Generates 3D point cloud from ensenso stereo camera, stereo camera calibration for stereo vision. - Deep learning object detection using YOLOv5. - Deployment of algorithm for our use case on docker. - Anomaly detection with supervised and unsupervised image pixel approach (Pytorch, tensorflow keras). - Managing pipeline and repository in gitlab.

  • 8 Monate, Jan. 2022 - Aug. 2022

    Master Project

    Universität Bremen

    Topic: Computing multiple input and multiple output State Space Controller using SAC implementation of Reinforcement Learning. Skills: Reinforcement Learning · Control Theory · Stable baseline · SAC · Machine Learning · TensorFlow · Python · PyTorch · MATLAB

  • 3 Monate, Juni 2021 - Aug. 2021

    Studentische Hilfskraft

    Ubica Robotics GmbH

    Topic: Robotics perception of Scan robot for retail stores. - Enhancement of ROS computer vision nodes for robotic perception using Linux system. - Branching and Maintaining ROS nodes using VCS environment i.e. GitLab, GitHub on Linux system. - Implementation of MaskRCNN instance segmentation model using tensorflow. - Pixel by pixel annotation of images with polygon. - Implementation of deep learning training on annotated dataset using pytorch.

  • 6 Monate, Dez. 2020 - Mai 2021

    Volunteer Master Project

    Universität Bremen

    "Real Time instance segmentation using yolact++ in pytorch" • Research Work and Documentation on instance segmentation. • Implementation of Yolact++ algorithm using pytorch for instance segmentation on annotated data set. Skills: 3D · Image Processing · Deep Learning · C (Programming Language) · Git

  • 6 Monate, Juli 2020 - Dez. 2020

    Studentische Hilfskraft

    Universität Bremen

    "Green AI: Efficiency Technology for Vegetative Plant Production" • Annotation of images with semantic segmentation model. • Annotation of images using f-BRS interactive segmentation model. Skills: Image Processing · Deep Learning · C (Programming Language) · Git

  • 3 Monate, Juli 2018 - Sep. 2018

    Studentische Hilfskraft

    Universität Bremen

    •Pulsed Excitation of Thermal Flow Sensors for Reduced Power Consumption and expanded measurement Range. •Research Work and Documentation. •Developing program for simulation in LABView. •Designing of 3D airflow medium using Autodesk Inventor. •Developing a new calculation method for compensation of air flow using Python NumPy. Skills: Image Processing · C (Programming Language)

  • 1 Jahr und 6 Monate, Juli 2015 - Dez. 2016

    Bachelor Thesis

    Sir Syed University of Engineering and Technology

    "Smart Solar System using IoT Technique ”. •Developed and implemented a solar cell system in university that work autonomously and implementation of IoT technique to control the parameters of system using android application. •Development of android application. •Data monitoring of system also done using IoT technique i.e. updated data were transmitted to central server local server for storage and analysis then further more transmitted to mobile application wirelessly. Tools: Arduino mega, C language

  • 3 Monate, Juni 2015 - Aug. 2015

    Intern

    General tyre and rubber company PVT

    • Siemens and Allen Bradley PLC with RS logix software • AC and DC Drives. • AC Motors, DC Motors, Three Phase AC Motors, Single Phase AC Motors, and Servo Motors • Different Sensors and Actuators. • Distribution of electricity through generators to different department

Ausbildung von Khurram Shehzad

  • Bis heute 8 Jahre und 3 Monate, seit Apr. 2017

    Control Microsystem Mircroelectronic

    Universität Bremen

    It includes the Subjects of robotics, machine vision, automation, control engineering, microsensors and Embedded systems. Apart from these heavy duty courses I had undergone through area of speech and signal processing, Presenting Science and Intellectual Property, Patents and Further Protective Rights.

  • 5 Jahre und 3 Monate, Jan. 2012 - März 2017

    Electronics Engineering

    Sir Syed University of Engineering and Technology

    The Diversity of this course has enabled me with the ability take account both aspects of the proposed system; software-level and Hardware-Level. The courses were Robotics, Computer Vision Modelling and Simulation Power Electronics, Object oriented Programming (OOP), Turbo C, C++, Embedded Systems, Digital Logic Design (DLD), Control System, Computer Networks, CAD, Internet of Things. Specialization: Robotics, Embedded System, Control Engineering and IoT.

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  • Deutsch

    Gut

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