Michal Jasinski

Associate professor


email: michal.jasinski@pwr.edu.pl
phone: +48726171742
building: Building D-1 Plac Grunwaldzki 13, Wrocław (Poland)
room: 120

Education:
2015: Eng; Wrocław University of Science and Technology; Faculty of Electrical Engineering; electrical engineering
2016: MSc.; Wrocław University of Science and Technology; Faculty of Electrical Engineering; electrical engineering
2019: PhD.; Wrocław University of Science and Technology; Faculty of Electrical Engineering; electrical engineering
2021: Prince2 certificate; Altkom Academy in agreement to AXELOS Ltd.
2022: Executive MBA - Project Management: WSB University - in progess
2022: DSc (habilitation) - Wrocław University of Science and Technology; Faculty of Electrical Engineering; Automation, Electronics and Electrical Engineering

Project Management Trainings:
2023 - finalize the cycle of training performed by EY academy trainers (EY is one of the largest professional services networks in the world) about "Thinking Tools", "Project planning and scheduling"; "Risk management"; "Project team management"; "Agile methods in running projects".

Career progression:
2018 - 2019; Wrocław University of Science and Technology; assistant
2019 - 2022; Wrocław University of Science and Technology; assistant professor
2021 - now: Battery Energy Back: research and development manager
2022 - now: VSB - Technical University of Ostrava: researcher
2022 - now; Wrocław University of Science and Technology; associate professor


Principal Investigator in projects:
#1"Identification of microgrid working conditions using cluster analysis" carried out by Wroclaw University of Technology under the Miniatura 4 competition organized by the National Science Center in Poland.
#2 "Battery Energy Back" carried out by Battery Energy Back sp.z.o.o under the Inteligent Development Operational Program 2014-2020, Measure 1.3: R&D financed with capital funds, Sub-measure 1.3.1: "Support of R&D Projects in the preseed phase by proof of concept funds - BRIdge Alpha" founded by National Centre for Research and Development of Poland.
#3 "Inteligent Recycled Energy Storage System" carried out by IRESS sp.z.o.o under the Inteligent Development Operational Program 2014-2020, Measure 1.3: R&D financed with capital funds, Sub-measure 1.3.1: "Support of R&D Projects in the preseed phase by proof of concept funds - BRIdge Alpha" founded by National Centre for Research and Development of Poland.

Attendance as an investigator in projects:
#1 “Developing a platform for aggregating generation and regulatory potential of dispersed renewable energy sources, power retention devices and selected categories of controllable load” supported by European Union Operational Programme Smart Growth 2014–2020, Priority Axis I: Supporting R&D carried out by enterprises, Measure 1.2: Sectoral R&D Programmes, POIR.01.02.00-00-0221/16, performed by TAURON Ekoenergia Ltd
#2 "Model of operation of distributed energy 2.0 - self-balancing areas of the power grid" supported by European Union Operational Programme Smart Growth 2014–2020, Priority Axis I: Supporting R&D carried out by enterprises, Measure 1.2: Sectoral R&D Programmes, POIR.01.02.00-00-0200 performed by TAURON Polska Energia Ltd as a leader.
#3 "Multi Energy Storage Hub For reliable and commercial systems Utilization" supported by European Union' Horizon 2020 under ERA-Net Smart Energy Systems Joint Call 2019 (MICall19), performed by an international consortium.


Selected lectures and presentations
Invited lectures on international Universities
-> 2020, ITM (SLS) Baroda University, Data mining application to power quality issues
-> 2020, Techno India NJR Institute of Technology, Indie Data mining practice in power quality issues,
-> 2022, Ferdowsi University of Mashhad, Future perspective of electric vehicles
-> 2022, Iqra National University, Machine Learning and Data Mining for Power Quality Assessment
-> 2023, Sarhad University of Science and Information Technology, Energy storage system role in energy hubs
-> 2023, University of Engineering & Technology, Machine Learning algorithms application in context of renewable Energy
-> 2023, National Engineering School of Gabes, The role of hydrogen technologies in future energy systems

Selected international conferences presentations:
-> 2023, IEEE - EEEIC / I&CPS Europe, Advancements and challenges in PV power forecasting: techniques, applications and grid integration for a sustainable energy future
-> 2021, IEEE - EEEIC / I&CPS Europe, Integration of supervision and monitoring systems of microgrids – a case study from Lambda Microgrid for correlation analysis.
-> 2020, 12th International Conference on Electronics, Computers and Artificial Intelligence – ECAI, 2020, Different working conditions identification of a PV power plant using hierarchical clustering.
->2018 Progress in Applied Electrical Engineering (PAEE), 2018, Cluster analysis for long-term power quality data in mining electrical power network

Prizes and awards
-> Ludovika Scholar Program prize, University of Public Service, Budapest, 2023
-> Wroclaw University of Science Technology Rector's Award: 2020, 2021.
-> Award of the Director of Schools Complex of No. 18 in Wrocław: 2018, 2020,2022.
-> Laureate of the Wrocław University of Science and Technology "Primus" competition for authors of outstanding scientific publications: 2021, 2022
-> Laureate of "Academia Iuvenum" competition for the best 24 young scientists of Wroclaw University of Technology: 2021.

Other significant achievements
- Associate Editor Network: Computation in Neural Systems - Taylor and Francis (IF 7.8)
- Editor Board Member - Clean Energy - Oxford University Press (IF 2.3)
- Guest editor in Frontiers in Energy Research (IF 3.4)
- Scientific committee member of 8 international conferences
- Verified reviews based on Publons 330.

Other key information impacting the evaluation of the academic and research career
-> I am a leader of the Theoretical Electrical Engineering Team at Wroclaw University of Science and Technology. The indicated team consists of 10 scientists, 2 post-docs, and 4 Ph.D. students. The team is gender and culturally-diverse team and includes scientists from Poland, Iran, India, and Indonesia.
-> I am a team leader of a multinational team that aims to prepare research papers about machine learning/data mining for multidisciplinary appliances. The team is culturally and gender diverse and consists of scientists from Poland, India, Vietnam, Russia, Czech Republic, Italy, Tunisia, Croatia, Turkey, Saudi Arabia, Iran, Korea, and USA. The results of this cooperation resulted in over 60 publications with a total Impact Factor of over 200.
-> I'm an approved supervisor of a doctoral degree program at FEI VSB-TUO Czech Republic. Additionally, I supervise two PhD students that realize the thesis related to Hydrogen and PQ issues. One of thesis are done in collaboration with ABB.
-> Summary of publications: 107 journal articles with total Impact Factor over 399.

Selected 10 publications from 2023 publications:
#1 Michał M. Jasiński, Omid Homaee, Daniel Opałkowski, Arsalan Najafi, Zbigniew Leonowicz; On the forecastability of solar energy generation by rooftop panels pointed in different directions. IEEE Transactions on Sustainable Energy. 2024, vol. 15, nr 1, pp. 699-702.
#2 Arsalan Najafi, Omid Homaee, Mahdi Golshan, Michał M. Jasiński, Zbigniew Leonowicz, Application of extreme learning machine-autoencoder to medium term electricity price forecasting. IEEE Transactions on Industry Application. 2023, vol. 59, nr 6, pp. 7214-7223.
#3 Mohammad Javad. Nasiri, Omid Homaee, Arsalan Najafi, Michał M. Jasiński, Zbigniew Leonowicz, Analyzing the effect of lightning channel impedance on the lightning overvoltages in wind turbines. IEEE Transactions on Industry Application. 2023, vol. 59, nr 5, pp. 5352-5362.
# 4 Alessandro Burgio, Domenico Cimmino, Mohammad Dolatabadi, Michał M. Jasiński, Zbigniew Leonowicz, Pierluigi Siano, Virtual energy storage system for peak shaving and power balancing the generation of a MW photovoltaic plant. Journal of Energy Storage. 2023, vol. 71, art. 108204, pp. 1-11.
#5 Yang Zhang, RadomÍr Goňo, Michał M. Jasiński An improvement in dynamic behavior of single phase PM brushless DC motor using deep neural network and mixture of experts. IEEE Access. 2023, vol. 11, pp. 64260-64271.
#6 Arsalan Najafi, Omid Homaee, Michał M. Jasiński, Georgios Tsaousoglou, Zbigniew Leonowicz, Integrating hydrogen technology into active distribution networks : the case of private hydrogen refueling stations. Energy. 2023, vol. 278, part B, art. 127939, pp. 1-12.
#7 Sankha Chakrabortty, Ramesh Kumar, Jayato Nayak, Byong-Hun Jeon, Shashi Kant. Dargar, Suraj K. Tripathy, Parimal Pal, Geon-Soo Ha, Kwang Ho. Kim, Michał M. Jasiński Green synthesis of MeOH derivatives through in situ catalytic transformations of captured CO2 in a membrane integrated photo-microreactor system : A state-of-art review for carbon capture and utilization. Renewable & Sustainable Energy Reviews. 2023, vol. 182, art. 113417, pp. 1-18.
#8 Morteza Ghayedi, Michał M. Jasiński Electric field distribution on zinc oxide pills in gapless surge arresters using finite element method and evolutionary optimization algorithms in HVAC systems. Sustainability. 2023, vol. 15, nr 10, art. 7892, pp. 1-13.
#9 P. V. V. Satyanarayana, A. Radhika, Ch. Rami. Reddy, B. Pangedaiah, Luigi Martirano, Andrea Massaccesi, Aymen Flah, Michał M. Jasiński Combined DC-link fed parallel-VSI-based DSTATCOM for power quality improvement of a solar DG integrated system. Electronics. 2023, vol. 12, nr 3, art. 505, pp. 1-19.
# 10 Arsalan Najafi, Omid Homaee, Michał M. Jasiński, Mahdi Pourakbari-Kasmaei, Matti Lehtonen, Zbigniew Leonowicz Participation of hydrogen-rich energy hubs in day-ahead and regulation markets: a hybrid stochastic-robust model. Applied Energy. 2023, vol. 339, art. 120976, pp. 1-15.

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