CV

Education

• Imperial College London (November 2022)
  Doctor of Philosophy
  • Field of study: Visual Reasoning, Deep Learning, Computer Vision, Robotics
• Imperial College London September 2018
  Master of Science in Control Systems
  • Result of study: 80.4/100.0
  • Honours: Distinction, Outstanding Achievement Prize
  • Project Title: Automatic analysis of images from camera traps
  • Relevant Coursework: Machine Learning, Pattern Recognition, Optimization, Coding Theory, Predictive Control, Intelligent Data, Game Theory, Systems Identification
• Warsaw University of Technology February 2017
  Bachelor of Science in Control and Robotics
  • Result of study: 4.91/5.0 (Final grade: Excellent)
  • Honours: Highest honours- Summa Cum Laude
  • Project Title: Reverse engineering of free-form surfaces: analysis of the accuracy
  • Relevant Coursework: Computer Science, Numerical Methods, Mathematical Analysis, Signal Theory, Neural Networks, Artificial Intelligence, Fundamentals of Probability, C Programming

Work experience

• Huawei Noah's Ark Lab August 2021 – November 2021
  Research Intern
  • Research in the field of High Dynamic Range Imaging.
  • Developing a self-supervised approach for HDR estimation.
• Imperial College London October 2018 –
  Graduate Teaching Assistant
  • Involved in teaching courses: Machine Learning, Deep Learning, Pattern Recognition and Computer Vision.
  • Leading tutorial sessions, preparing course materials, exam and coursework marking.
• K2 Internet August 2017 – December 2017
  Copywriter
  • Writing articles in the field of 3D printing and related. The goal was to familiarise internet users in the USA with 3D printing techniques and opportunities, and to help promote one of the Polish manufacturers in this market.
• Industrial Research Institute for Automation and Measurements August 2016 – February 2017
  Intern
  • Conducting the research on milling with the usage of an industrial robot based on 3D scans.
  • Developing methods to do the reverse engineering of a 3D scanned object, scale it, generate, and simulate toolpaths and implement a program on the robot.
• Induprogress July 2016
  Intern
  • Programming PLC controllers and HMI panels and integrated those devices with inverters, servo systems and sensors.

Competitions

• Shell.ai Hackathon for Sustainable and Affordable Energy 2021 - Finalist
• Huawei University Challenge 2021: Indoor Positioning and Navigation - Finalist, honourable mention

Publications

SAMPLE-HD: Simultaneous Action and Motion Planning Learning Environment
IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2022
Michal Nazarczuk, Tony Ng and Krystian Mikolajczyk
Embodied Reasoning for Discovering Object Properties via Manipulation
International Conference on Robotics and Automation, 2021
Jan Behrens*, Michal Nazarczuk*, Karla Stepanova, Matej Hoffmann, Yiannis Demiris and Krystian Mikolajczyk
V2A - Vision to Action: Learning robotic arm actions based on vision and language
Asian Conference on Computer Vision, 2020
Michal Nazarczuk and Krystian Mikolajczyk
SHOP-VRB: A Visual Reasoning Benchmark for Object Perception
International Conference on Robotics and Automation, 2020
Michal Nazarczuk and Krystian Mikolajczyk
Proposition of the Methodology of the Robotised Part Replication Implemented in Industry 4.0 Paradigm
Automation. Advances in Intelligent Systems and Computing, 2019
Michal Nazarczuk, Maciej Cader, Michal Kowalik and Mikolaj Jankowski

Skills

• Programming languages:
  • Python
  • C
  • C# (Unity)
  • Matlab
• Deep learning framework:
  • PyTorch
• Version Control:
  • Git