Danila Valko
MSc in Computer Science  |  |  |  |  |
danila.valko@proton.me
Academic interests and expertise
- Co-simulation of multi-modal energy systems
- Green computing & Green AI
- Data Science for Sustainability
- Deep Reinforcement Learning
Education
2018 MSc in Computer Science (maxima cum laude)
- South Ural State University (National Research University), Russia
- Supervisor: Mikhail Zymbler
2010 MA in Finance and Economics (maxima cum laude)
- South Ural Institute of Management and Economics, Russia
- Supervisor: Irina Sergeicheva
Professional experience
2023 – 2025 OFFIS - Institute for Information Technology, Carl von Ossietzky University of Oldenburg, Germany
- Researcher, Software Developer
- Co-Simulation of Digitalised and Decentralised Energy Systems
2022 – 2023 L3S Research Center, Leibniz University Hannover, Germany
- Visiting Researcher (12 months)
- Machine Learning, Reinforcement Learning, Green Computing
2021 – 2022 Center for Advanced Governance, Russia
- Data Scientist, Data Engineer
- Research and Data Analysis
- Data Mining and Data Preparation (Python/PostgreSQL, ETL/ELT, Apache Airflow)
2014 – 2022 The South Ural University of Technology, Russia
- Senior Researcher, Associate Professor
- Quantitative Analysis, Econometrics (ANOVA, SEM, ATET, PSM, CS-ADRL)
- Teaching IT, BA/MA Supervision
2010 – 2013 Mechel-Fund (Non-state pension fund)
- Technician
- IT infrastructure maintenance
Courses (taken recently)
- 2022 Data Science Summer School / Hertie School (proof)
- 2021 Quantitative Methods / University of Amsterdam at Coursera (proof)
- 2021 Machine Learning and Computer Vision / IT Korpus (proof)
- 2021 Introduction to Data Analysis in Python / Center for Advanced Governance (proof)
- 2020 10 Courses Specialization "Data Science" / John Hopkins University at Coursera (proof)
- 2020 4 Courses Specialization "Data Analysis" / Novosibirsk State University at Coursera (proof)
- 2020 Machine Learning and IT Project Management for Educators / Moscow Institute of Physics and Technology (proof)
- 2020 Information Infrastructure and Artificial Intelligence / Tomsk State University (proof)
- 2020 Artificial Intelligence, Big Data and Machine Learning / Tomsk State University (proof)
Publications (selected)
- Valko, D., Kudenko, D. (2024). Reducing CO₂ emissions in a peer-to-peer distributed payment network: Does geography matter in the Lightning Network? Computer Networks, https://doi.org/10.1016/j.comnet.2024.110297
- Valko, D., Alsharif, S., & Tolk, D. (2024). An open-source carbon emissions simulator for smart grid co-simulation scenarios. In Proc. of the European Simulation and Modelling Conference 2024 (ESM 2024), San Sebastian, Spain, https://doi.org/10.5281/zenodo.13984401
- Valko, D., Alsharif, S., Tolk, D., & Grimm, T. (2024). MASSCA: Scalable multi-agent system framework for smart power cell co-simulation. In Proc. of the European Simulation and Modelling Conference 2024 (ESM 2024), San Sebastian, Spain, https://doi.org/10.5281/zenodo.14004357
- Valko, D., Kudenko, D. (2023). Increasing energy efficiency of Bitcoin infrastructure with Reinforcement Learning and one-shot path planning for the Lightning Network. In Proc. of the Adaptive and Learning Agents Workshop (ALA 2023) at AAMAS 2023, London, UK, https://alaworkshop2023.github.io
- Valko, D. (2018). A recommendation system based on data mining of a scientometric research profile. Software & Systems, http://doi.org/10.15827/0236-235X.122.275-283
- Valko, D. (2016). Training software to perform technological calculations. Software & Systems, http://doi.org/10.15827/0236-235X.114.179-184
Preprints (recent)
- Valko, D., Kudenko, D. (2024). Sustainable broadcasting in Blockchain Network with Reinforcement Learning. arXiv, https://doi.org/10.48550/arXiv.2407.15616
Patents
- Valko, D., Muhina, Yu. (2020). Web application "Science Festival of the South Ural University of Technology" / Reg. No. RU2020616358.
- Valko, D., Zymbler, M. (2018). Decision support system in the field of scientific research management based on intellectual analysis of scientometric data / Reg. No. RU2018613068.
- Valko, D., Koltashov, A. (2016). Module for data mining and aggregating of scientometric data from open services on the Internet / Reg. No. RU2016619028.
- Valko, D., Moskvina, V. (2015). Calculation program for calibration systems for a rolling mill / Reg. No. RU2015618937.
Other professional skills
- Language Skills: Russian (native), English (advanced proficiency), German (limited proficiency)
- Software and Web- Development: Python, C#, Java, HTML/CSS/JS, QA:SpecFlow/Playwright
- Data Analysis and ML: Data Mining and Machine Learning, PyTorch, TensorFlow, OpenCV