Kateryna Morozovska
Stockholm
Overview
5
5
years of professional experience
Work History
Postdoctoral researcher
KTH Royal Institute of Technology
Stockholm
09.2023 - Current
- Company Overview: School of Electrical Engineering and Computer Science, Division for Decision and Control systems (with Professor Karl Henrik Johansson).
- Responsibilities include research, teaching, support in industrial relations, hiring and supervision of PhD student and a research engineers related to industry co-sponsored projects on Physics-informed neural networks and applications.
- Additionally, I manage the financial responsibility for two grants and an international PhD Summer School project.
- I also supervise a PhD project on Physics-Informed Neural Networks at the department of Computer Science and report on its budget.
- School of Electrical Engineering and Computer Science, Division for Decision and Control systems (with Professor Karl Henrik Johansson).
- Student will graduate in May 2025.
CEO
DTR1tech AB
03.2021 - 03.2024
- Software development for thermal control, optimization and management of power assets and power grids with incorporation of AI.
- I have managed a diverse team of 5-7 persons.
- Part-time
Lecturer for the course 'Energy cloud'
DIS Study Abroad
08.2023 - 12.2023
- As a teacher for this course I was required to prepare and teach full syllabus for exchange BSc level students who are doing a semester abroad as part of fully accredited USA universities exchange program with Scandinavia.
Researcher in Sustainable Energy Systems
KTH Royal Institute of Technology
Stockholm
09.2022 - 09.2023
- Company Overview: Department of Industrial Economics and Management.
- Department of Industrial Economics and Management.
Researcher in Computer Science
KTH Royal Institute of Technology
Stockholm
01.2022 - 09.2022
- Company Overview: Division of Computational Science and Technology.
- Part of my duties included the supervision of a PhD Student on Physics-Informed Neural Networks.
- Division of Computational Science and Technology.
- Part-time
Research Engineer, MSc student supervisor
KTH Royal Institute of Technology
Stockholm
01.2022 - 07.2022
- Company Overview: Division of Speech, music and hearing.
- Supervised total of 18 MSc degree projects.
- Division of Speech, music and hearing.
- Halftime
CTO
Bl˚as Energy AB
11.2020 - 11.2023
- Wind farm development, (technical part).
- Part-time
Postdoc in Electrical Engineering
KTH Royal Institute of Technology
Stockholm
11.2020 - 01.2022
- Company Overview: Division of Electromagnetic Engineering.
- Specialization on heat transfer in large insulated power components.
- Division of Electromagnetic Engineering.
Education
PhD - Electrical Engineering
KTH Royal Institute of Technology
12.2020
Master of Science -
TU Delft & NTNU
01.2015
Master of Science - Honours
Zaporizhzhya National Technical University
01.2013
Batchelor's degree - Honours
Zaporizhzhya National Technical University
01.2012
Skills
- Artificial Intelligence
- Supervised Learning
- Self-Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Transformers
- Symbolic AI
- Planning
- Evolutionary Algorithms
- Physics-Informed Machine Learning
- Hybrid-AI
- Image Recognition
- Video Analysis
- Expert Systems
- Recommender Systems
- Autonomous Systems
- Decision-Making Assistance
- Mechanical Systems
- Electrical Systems
- Chemical Engineering
- Material Design
- Traffic Control
- Validity Concepts
- Trustworthiness of AI
- Verification
- Validation
- Execution in Systems
- Legal Aspects of AI
- Ethical Aspects of AI
- Data Science
- Data Structures
- Data Preprocessing
- Data Management
- Software Engineering
- API Development
- Operation Control
- Power Networks
- Machine Learning Techniques
- Deep Learning
- Electrical Engineering
- Power Systems
- Thermodynamics
- Heat Transfer
- Mass Transfer
- Decision Making
- Control
- Lab Experiments
- Nanomaterials
- Brownian Motion
- Project Management
- Teaching
- International RD Network
- High Voltage Components
- Convex Optimization
- Non-Linear Programming
- Partial Differential Equations
- Python
- JAX
- Tensorflow
- Pytorch
- Scikit-learn
- Jupyter Notebooks
- Numpy
- Scipy
- Darts
- Nvidia GPU
- Gurobi
- GAMS
- Pyomo
- MatLab
- R
- LabView
- WindPro
H Index
11
Orcid
0000-0002-4065-715X
Competence Matrix
- Solid background in artificial intelligence techniques such as supervised, self-supervised & unsupervised learning, reinforcement learning, transformers, symbolic AI, planning, evolutionary algorithms and physics-informed machine learning and hybrid-AI - acquired through 4+ years of research experience in the area through a variety of scientific and application projects as well as supervision of the work of others.
- 4+ years of experience in application of AI techniques and hybrid-AI such as image recognition, video analysis, expert systems, recommender systems, autonomous systems, decision-making assistance, mechanical and electrical systems, chemical engineering, material design, traffic control etc. - obtained through collaborative projects with industry as well as other well-established engineering research groups and in addition to that supervision of short term projects.
- Good understanding of validity concepts such as trustworthiness of AI, verification, validation, execution in systems, legal and ethical aspects of scientific machine learning - which are acquired through constant dialogue within academia and society and constant improvement and discussion on the research subject I am working on. In addition to that some of the aspects were very relevant to my start-up work when we were working on data science projects with clients.
- Consolidated technical expertise in artificial intelligence and scientific machine learning shown through many years of experience in research and management of relevant projects on AI applications in industry and engineering verified by peer-reviewed scientific publications and production of teaching material on the topic.
- Technical expertise in engineering and deployment of industrial applications - through projects with Hitachi Energy as well during 3 years entrepreneurial journey on software development with data analytics.
- Solid 9+ years of expertise in data structures, data preprocessing, and data management - since the start of my PhD degree I have worked on a variety of complex data sets and used multitude of techniques.
- Understanding of software engineering systems - obtained through own company experience where we were developing an API based software system for operation and control of large power networks.
- Behavioural competencies I believe my experience with scientific research and entrepreneurship makes me a very well fitted candidate for the position since the description of: Result oriented, Operational Efficiency, Fostering Cooperation, Relationship Management, Continuous Improvement and Forward Thinking are my most striking personality traits when it comes to work performance.
Timeline
Postdoctoral researcher
KTH Royal Institute of Technology
09.2023 - Current
Lecturer for the course 'Energy cloud'
DIS Study Abroad
08.2023 - 12.2023
Researcher in Sustainable Energy Systems
KTH Royal Institute of Technology
09.2022 - 09.2023
Researcher in Computer Science
KTH Royal Institute of Technology
01.2022 - 09.2022
Research Engineer, MSc student supervisor
KTH Royal Institute of Technology
01.2022 - 07.2022
CEO
DTR1tech AB
03.2021 - 03.2024
CTO
Bl˚as Energy AB
11.2020 - 11.2023
Postdoc in Electrical Engineering
KTH Royal Institute of Technology
11.2020 - 01.2022
PhD - Electrical Engineering
KTH Royal Institute of Technology
Master of Science -
TU Delft & NTNU
Master of Science - Honours
Zaporizhzhya National Technical University
Batchelor's degree - Honours
Zaporizhzhya National Technical University