Dominik Filipiak

Data Scientist, Academic Teacher

Department of Information Systems

Poznań University of Economics and Business

dominik.filipiak[☂]ue.poznan.pl

Majored in Computer Science, now doing two PhDs (Computer Science and Economics/Business Information Systems) and BSc in Mathematics – a mixture of technical experience and theoretical background. Has hands-on experience with collecting data sets from scratch, building ML models, transferring them to code and inferring new findings. Interested in doing new and exciting things connected to AI, Data Science, Machine Learning, Computer Vision, and Big Data. Preferably in Python, R, or Java.

Keywords: Artificial Intelligence, Machine Learning, Computer Vision, Digital Humanities, Quantitative Analysis, Big Data, Alternative Investments
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Fig. 1. Wilhelm Sasnal, poster project for the movie Afterimage (2016)

1. Introduction

My personal interests encapsulate (in random order): machine learning, computer vision, big data, philosophy, art market, software development, literature, modern and contemporary art, music, foreign languages, pure mathematics, architecture, and politics. Perhaps more relevant data on me are placed below.

Table 1. Tertiary education
t degree course & university
2018–now PhD Computer Science
Universität Innsbruck
2018–now BSc Mathematics
Adam Mickiewicz University in Poznań
2014–now PhD Information Systems (Economics)
Poznań University of Economics and Business
2013–2014 MScEng Computing, with distinction
Poznań University of Technology
2009–2013 BEng Information Engineering
Poznań University of Technology

2. Professional Experience

Department of Information Systems. Sep 2011–now, position: Data Scientist, Academic Teacher. Responsibilities: carrying out research, mostly connected to data science and machine learning (in domains such as art markets, telecommunications, and maritime surveillance), software development (Python, R, Java) for research and commercial purposes as well, planning scientific projects and writing proposals, maintaining the department's infrastructure (physical/virtual servers and clusters, networking), teaching undergraduate and postgraduate students (courses on machine learning, artificial intelligence, big data, software architecture, cryptography).

$$Y=\lambda f.(\lambda x.f\ (x\ x))\ (\lambda x.f\ (x\ x))$$

NSense (now F-Secure). August 2011–September 2011, position: Software Developer (intern). Responsibilities: Development of a vulnerability scanner in C#.

$$e^{i\pi }+1=0$$ Verax Systems, March 2010–July 2010, position: Junior Linux Administrator (intern). Responsibilities: Researching and enrolling technologies related to LDAP protocol in the existing systems architecture (CentOS authentication, SMB, Radius, Postfix et cetera).

3. Skills, Awards, and Certificates

Technical Skills. Machine learning, statistical analysis, image processing, data crawling and wrangling, software development (Python, Java, R), software architecture (UML, design patterns), linux, big data (Apache Spark), databases (SQL, NoSQL, SPARQL).

Languages. Polish (native), English (fluent – C1, CAE certificate), French (beginner – A2), and very elementary Dutch and Russian.

Table 2. Awards and certificates
t award description
2018 Best Paper Award 4th Workshop on Semantic Deep Learning (SemDeep-4) collocated with the 17th International Semantic Web Conference, for the paper Semantic Image-Based Profiling of Users' Interests with Neural Networks
2018 Best Paper Award The 8th International Tech-Science Conference NATCON "Naval Technologies for Defence and Security", for the paper Big Data for Anomaly Detection in Maritime Surveillance: Spatial AIS Data Analysis for Tankers (waiting for publication)
2017 Research Grant Microsoft Azure for Data Science Research Grant, for the project Data Science for Improving the Quality of Art Market Data
2016 Best Paper Award 19th BIS Conference in Leipzig, Germany, for the paper Quantitative Analysis of Art Market Using Ontologies, Named Entity Recognition and Machine Learning: A Case Study (see Section 4)
2014 Certificate CAE Certificate in Advanced English (CEFR C1)

4. Research & Teaching Experience

Scientific projects. This section will be extended someday...

  1. HANSA
  2. SIMMO
  3. DSN
  4. LOD 2
  5. SMC

Teaching duties. Abbreviations: IiE: Informatyka i Ekonometria (Computer Science & Econometrics), ODO: Ochrona Danych Osobowych i Bezpieczeństwo Teleinformatyczne w Biznesie (Data Protection and Cybersecurity in Business), DaSBA: Data Science in Business and Administration (doktorat wdrożeniowy)

Table 4.1. 2019/2020 (so far + planned)
name type group
Algorytmy i struktury danych (Algorithms and Data Structures, 5x15h + 23h extramural) Lab., Lct. IiE (BSc)
Artificial Intelligence (in English, 30 hours) Lct. IiE (BSc)
Bazy danych (Database Systems, 5h out of 10h, in cooperation with dr Agata Filipowska and dr Krzysztof Węcel) Lab. DaSBA (PhD)
Big Data (3x30h + 18h extramural) Lab. IiE (MSc)
Jakość oprogramowania (Software Quality, 30h) Lab. IiE (BSc)
Sieci neuronowe (Neural Networks, 10h) Lct. DaSBA (PhD)


Table 4.2. 2018/2019, 230h in total
name type group
Artificial Intelligence (in English, 30 hours) Lct. IiE (BSc)
Projektowanie i architektura systemów komponentowych (Design and Architecture of Component Systems, 30h) Lct. IiE (MSc)
Big Data (4x30h + 18h extramural) Lab. IiE (MSc)
Jakość oprogramowania (Software Quality, 30h) Lab. IiE (BSc)
Kryptografia (Cryptography, 8h) Lct. ODO (postgrad.)
Pozyskiwanie danych (Database Systems, 2h out of 8h, in cooperation with dr Agata Filipowska) Lct. DaSBA (PhD)
Infrastruktura rozwiązań Big Data (Big Data Solutions, 5h out of 10h, in cooperation with dr Agata Filipowska) Lct. DaSBA (PhD)
Metodyka pisania artykułów naukowych (Scientfic writing, 2h out of 8h, in cooperation with dr Agata Filipowska) Lct. DaSBA (PhD)
Metody analizy danych ilościowych (Data Analysis Methods, 6h out of 16h, in cooperation with dr Agata Filipowska) Lct. DaSBA (PhD)
Analiza grafów (Graph analysis, 4h out of 10h, in cooperation with dr Agata Filipowska) Lct. DaSBA (PhD)
Bazy danych (Database Systems, 3h out of 12h, in cooperation with dr Agata Filipowska and dr Krzysztof Węcel) Lct. DaSBA (PhD)

Table 4.3. 2017/2018, 145h in total
name type group
Projektowanie systemów informatycznych (Information Systems Architecure, 4x30h) Lab. IiE (BSc)
Kryptografia (Cryptography, 2x8h) Lct. ODO (postgrad.)
Pozyskiwanie danych (Database Systems, 4h out of 8h, in cooperation with dr Agata Filipowska) Lct. DaSBA (PhD)
Infrastruktura rozwiązań Big Data (Big Data Solutions, 5h out of 10h, in cooperation with dr Agata Filipowska) Lct. DaSBA (PhD)


Table 4.4. 2016/2017, 68h total (+54h for summer schools)
name type group
Projektowanie systemów informatycznych (Information Systems Architecure, 2x30h) Lab. IiE (BSc)
Kryptografia (Cryptography, 2x8h) Lct. ODO (postgrad.)
Data Science/Big Data training (intensive 2-week course for academic staff from Narxoz University, Kazakhstan, topics: data processing, enrichment techniques, big data, machine learning, 40h out of 80h, in cooperation with dr Agata Filipowska) Lab. other
Summer School on Big Data Analytics (summer school for Kazakh PhD students, 14h out of 56h, in cooperation with dr Agata Filipowska, dr Krzysztof Węcel, and dr Bartosz Perkowski) Lab. PhD


Table 4.5. 2015/2016, 60h in total
name type group
Projektowanie systemów informatycznych (Information Systems Architecure, 2x30h) Lab. IiE (BSc)


Table 4.6. 2015/2016, 60h in total
name type group
Projektowanie systemów informatycznych (Information Systems Architecure, 2x30h) Lab. IiE (BSc)

5. Media Appereance

Selected, mostly in Polish.
  1. CEO.com.pl - Sztuczna Inteligencja dla Sztuki
  2. Życie UAM - Debata Akademicka o Sztucznej Inteligencji

6. Bibliography

Please see references at my Google Scholar profile profile.

7. References

  1. Department of Information Systems
  2. LinkedIn
  3. Research Gate
  4. GitHub
  5. Google Scholar
  6. Scopus
  7. ORCID
  8. Web of Science
© 2017, Dominik Filipiak.