Stanisław Barański

Gdańsk University of Technology
Department of Computer Architecture · Faculty of Electronics, Telecommunications and Informatics

[email protected] ORCID 0000-0001-7181-8860 University profile stan.bar

Publications

10 works · 6 journal articles · 1 conference paper · 2 book chapters · 1 preprint

Journal articles

  1. Stanisław Barański, Julian Szymański. Federated Distributed Key Generation. Future Generation Computer Systems, 177, 108226 (2026). DOI: 10.1016/j.future.2025.108226
  2. Stanisław Barański, Ben Biedermann, Joshua Ellul. Internet Voting Maturity Framework - Quantifying Maturity in Internet Voting Protocols. Distributed Ledger Technologies: Research and Practice (2026). DOI: 10.1145/3797872
  3. Stanisław Barański. A Survey on Privacy-Preserving Machine Learning Inference. TASK Quarterly, 28(2), issue year 2024; published 18 July 2025. DOI: 10.34808/tq2024/28.2/b
  4. Stanisław Barański, Julian Szymański, Higinio Mora. Anonymous Provision of Privacy-Sensitive Services Using Blockchain and Decentralised Storage. International Journal of Information Security, 24(3), article 130 (2025). DOI: 10.1007/s10207-025-01052-w
  5. Andrzej Sobecki, Stanisław Barański, Julian Szymański. Privacy-Preserving, Scalable Blockchain-Based Solution for Monitoring Industrial Infrastructure in the Near Real-Time. Applied Sciences, 12(14), 7143 (2022). DOI: 10.3390/app12147143
  6. Stanisław Barański, Julian Szymański, Andrzej Sobecki, David Gil, Higinio Mora. Practical I-Voting on Stellar Blockchain. Applied Sciences, 10(21), 7606 (2020). DOI: 10.3390/app10217606

Conference proceedings

  1. Stanisław Barański, Jerzy Konorski. Mitigation of Fake Data Content Poisoning Attacks in NDN via Blockchain. Proceedings of the 30th International Telecommunication Networks and Applications Conference (ITNAC), pp. 1–6 (2020). DOI: 10.1109/ITNAC50341.2020.9315048

Book chapters

  1. Stanisław Barański. Nieświadome sieci neuronowe. In Julian Szymański (ed.), Algorytmy i zastosowania inteligencji obliczeniowej. Gdańsk University of Technology Publishing House (2022). ISBN: 978-83-7348-882-3
  2. Stanisław Barański. Blockchain: zdecentralizowane zaufanie. In Julian Szymański (ed.), Uczenie maszynowe i systemy rozproszone. Gdańsk University of Technology Publishing House (2021). ISBN: 978-83-7348-847-2

Preprints

  1. Stanisław Barański, Maya Dotan, Ayelet Lotem, Margarita Vald. Haze and Daze: Compliant Privacy Mixers. IACR Cryptology ePrint Archive, 2023/1152 (2023). ePrint 2023/1152 · Preprint

Academic appointments and research experience

Research and Teaching Assistant

2024–present

Gdańsk University of Technology · Department of Computer Architecture

  • Research on distributed protocols, applied cryptography, and privacy-preserving digital services.
  • Teaching, supervision of student group projects, and support for diploma theses related to these research areas.

Research Engineer

April 2026–present

CAISE Cloud Platform

  • Applied research on intelligent services, including language-model fine-tuning for legal-service applications and AI-assisted conversational systems.
  • Deployment and experimental operation of research workloads on cloud infrastructure.

Education

Doctoral research in Computer Science

October 2020–present

Doctoral School, Gdańsk University of Technology

  • Discipline: Information and Communication Technology (informatyka techniczna i telekomunikacja).
  • Dissertation in progress: Compromise-Resistant Protocols for Sensitive Services in Distributed Systems.
  • Supervisor: Julian Szymański.

MSc in Computer Science

March 2019–September 2020

Gdańsk University of Technology

  • Thesis: Blockchain-based mitigation of content poisoning attacks in information-centric networks.
  • Supervisor: Jerzy Konorski.

BEng in Computer Science

September 2015–February 2019

Gdańsk University of Technology

  • Thesis: Bitcoin wallet with multi-factor hybrid hardware-network authentication.
  • Supervisor: Tomasz Gierszewski.

International research visits and fellowship

Erasmus+ Research Traineeship

January–May 2024

University of Malta, Malta

Erasmus+ Research Traineeship

February–June 2023

University of Alicante, Spain

Delendum Fellowship

January–March 2023

Research and development in cryptographic computation

International research collaboration

  • Collaboration with researchers from the Hebrew University of Jerusalem on applied cryptography and privacy.

Research profile

Researcher in secure distributed systems and applied cryptography, studying how digital services can preserve privacy and remain secure when participants or infrastructure are compromised. My work combines protocol design, formal security analysis, prototype implementation, and experimental evaluation. Research applications include internet voting, anonymous service provision, distributed key generation, industrial data monitoring, and privacy-preserving machine learning inference.

Teaching and student supervision

Cryptography and Blockchain Technologies

Gdańsk University of Technology

  • More than three years of teaching experience in cryptography and blockchain technologies.
  • Supervision of student research and engineering projects, group projects, and diploma work connected to distributed systems and privacy.
  • Knowledge sharing through academic presentations and mentoring of student projects.

Conferences and scientific communication

30th International Telecommunication Networks and Applications Conference

2020

ITNAC · Conference presentation

  • Mitigation of Fake Data Content Poisoning Attacks in NDN via Blockchain, with Jerzy Konorski.

Awards and research community activities

Stellar Community Fund award

2020
  • Award for Stellot, an end-to-end verifiable internet-voting protocol on Stellar.

ETHGlobal London

2024
  • Sponsor award for the No Rush to Trash hackathon project.

ETHGlobal Paris

2023
  • Two sponsor awards for the zkSwap on iOS hackathon project.

Research methods and technical expertise

Applied cryptography and distributed systems

  • Protocol design, security modelling and proofs, experimental evaluation, distributed ledgers, secure multiparty computation, zero-knowledge proofs, threshold cryptography, distributed key generation, and homomorphic encryption.

Research software

  • Rust, Go, Python, TypeScript, Solidity, and Circom; implementation and evaluation of distributed systems and cryptographic prototypes.

Academic development and languages

Academic Writing in English Made Painless

2021

Center For American Studies

Machine Learning

2017

Stanford University course on Coursera, taught by Andrew Ng

Languages

  • Polish: native. English: C1 professional proficiency; ACERT B2 certificate (2020).