19 publications · 28 talks

Publications & talks

Peer-reviewed work on machine learning applied to speech, gaze and language, on spiking neural networks, and on cybersecurity. Titles of Polish-language work are kept in the original.

Peer-reviewed publications

2026

  1. Chlasta, K. (2026). The dual-use dilemma of generative artificial intelligence in cybersecurity: Navigating the explosive growth in offensive and defensive applications. Security and Defence Quarterly, 52(4). ISSN 2300-8741. PDF DOI Open access

2025

  1. Chlasta, K., Struzik, P., & Wójcik, G. M. (2025). Enhancing dementia and cognitive decline detection with large language models and speech representation learning. Frontiers in Neuroinformatics, 19, 1679664. ISSN 1662-5196. PDF DOI CC-BY
  2. Chlasta, K. (2025). Sztuczna inteligencja w cyberbezpieczeństwie – wyzwania i możliwości. In: Wielowymiarowość środowiska bezpieczeństwa, część druga (eds. D. Brążkiewicz, M. Chodyka, T. Grudniewski, S. Żurawski), ch. 3, pp. 49–71. Publishing House of John Paul II University in Biała Podlaska. ISBN 978-83-68103-20-5 (in Polish). PDF DOI Publisher version, chapter only
  3. Chlasta, K., & Mańko, J. (2025). Eksploracja metod uczenia maszynowego do weryfikacji adresów dla usprawnienia procesu zarządzania danymi organizacji. In: Sztuczna inteligencja i automatyzacja procesów biznesowych (eds. M. Pańkowska, A. Sołtysik-Piorunkiewicz), ch. 4, pp. 75–84. Katowice University of Economics Publishing House (in Polish). PDF Book DOI Publisher version, chapter only

2024

  1. Chlasta, K., Wisiecka, K., Krejtz, K., & Krejtz, I. (2024). AI-based screening for depression and social anxiety through eye tracking: An exploratory study. International Journal of Marketing, Communication and New Media, Special Issue 15, pp. 75–91. ISSN 2182-9306. PDF DOI Open access

2023

  1. Chlasta, K., Sochaczewski, P., Wójcik, G. M., & Krejtz, I. (2023). Neural Simulation Pipeline: Enabling container-based simulations on-premise and in public clouds. Frontiers in Neuroinformatics, 17, 1122470. ISSN 1662-5196. PDF DOI CC-BY
  2. Czeranowska, O., Chlasta, K., Miłkowski, P., Grabowska, I., Kocoń, J., Hwaszcz, K., Wieczorek, J., & Jastrzębowska-Tyczkowska, A. (2023). Migrants vs. stayers in the pandemic — a sentiment analysis of Twitter content. Telematics and Informatics Reports, 10, 100059. PDF DOI CC-BY

2022

  1. Chlasta, K., Sochaczewski, P., & Wójcik, G. M. (2022). Designing Neural Simulation Pipeline for Liquid State Machines. Technical report, HPI Future SOC Lab: Proceedings 2022. Universitätsverlag Potsdam. PDF Open access
  2. Chlasta, K., Sochaczewski, P., Grabowska, I., & Jastrzębowska, A. (2022). MyMigrationBot: A cloud-based Facebook social chatbot for migrant populations. FedCSIS 2022, Annals of Computer Science and Information Systems. ISSN 2300-5963. PDF DOI Open access
  3. Chlasta, K., & Wójcik, G. M. (2022). Exploring neural columns for real-time information processing. Technical report, HPI Future SOC Lab: Proceedings 2022. Universitätsverlag Potsdam. PDF Open access

2021

  1. Chlasta, K., & Wójcik, G. M. (2021). Exploring spiking neural networks for real-time information processing. Technical report, HPI Future SOC Lab: Proceedings 2021. Universitätsverlag Potsdam. PDF Open access
  2. Chlasta, K., & Wójcik, G. M. (2021). Liquid State Machines for real-time neural simulations. In: Selected Topics in Applied Computer Science (ed. J. Bylina). Maria Curie-Skłodowska University Press. 100 pts, Polish Ministry of Science. PDF Publisher Author version
  3. Chlasta, K., Wójcik, G. M., & Wołk, K. (2021). Liquid State Machines in parallel simulations of mammalian visual system on Raspberry Pi. Abstract in: International Conference Cybernetic Modelling of Biological Systems MCSB 2021, Bio-Algorithms and Med-Systems. PDF Collection DOI Author version
  4. Wołk, A., Chlasta, K., & Holas, P. (2021). Hybrid approach to detecting symptoms of depression in social media entries. PACIS 2021 Proceedings, 192. PDF arXiv Author version
  5. Chlasta, K., Holas, P., & Wołk, K. (2021). Computer-based detection of depression and dementia in spontaneous speech. European Psychiatry, 64(S1), S349. Extended abstract. DOI
  6. Le, D., Tran, T., Chlasta, K., Krejtz, K., Fjeld, M., & Kunz, A. (2021). VXSlate: Exploring combined head movement and mobile touch for large virtual display interaction. ACM Designing Interactive Systems 2021. PDF DOI Author version
  7. Le, D., Tran, T., Chlasta, K., Krejtz, K., Fjeld, M., & Kunz, A. (2021). VXSlate: Combining head movement and mobile touch for large virtual display interaction. IEEE VR 2021. ISBN 978-0-7381-1367-8. Extended abstract. PDF DOI Author version

2020

  1. Chlasta, K., & Wołk, K. (2020). Towards computer-based automated screening of dementia through spontaneous speech. Frontiers in Psychology — Human Media Interaction, 11, 623237. PDF DOI CC-BY

2019

  1. Chlasta, K., Wołk, K., & Krejtz, I. (2019). Automated speech-based screening of depression using deep convolutional neural networks. Procedia Computer Science, 164, 618–628. ISSN 1877-0509. Open access at the publisher. DOI

Theses

  1. Chlasta, K. (2023). Neural Simulation Pipeline for Liquid State Machines. Doctoral dissertation, Polish-Japanese Academy of Information Technology, Warsaw. Defended with distinction (summa cum laude) on 24 July 2023.
  2. Chlasta, K. (2015). Implementation of a sentiment analysis model for Twitter data in Polish. Postgraduate diploma thesis, Institute of Computer Science, Warsaw University of Technology. Passed with distinction. Posted to arXiv in 2019. arXiv:1911.00985

Conference presentations

2026

  1. “Automated Ownership Attribution of Cybersecurity Assets Using FQDN-Based Machine Learning Models” — International Conference on New and Emerging Technologies in Defence Education, Training and Governance, War Studies University, Warsaw, 20–21 May 2026.

2025

  1. “Generative AI in Cybersecurity: Emerging Threats, Defensive Strategies, and Standards” — AI Frontiers in Cybersecurity and Infrastructure Protection, War Studies University, Warsaw, 22 May 2025.

2024

  1. “Building Intelligent Cybersecurity Asset Management Framework with Machine Learning” — The Hack Summit 2024, National Stadium, Warsaw, 17–18 October 2024. Strategy, Governance, Risk & Compliance track.
  2. “Machine Learning-based Address Validation for Improved Organizational Data Management” — 4th Business Process Management Symposium, University of Economics in Katowice, 19 April 2024.
  3. “Overview of Generative Artificial Intelligence Methods in Cybersecurity” — 2nd International Scientific Conference on Contemporary Security Challenges and Threats: Cybersecurity of New Technologies, Chełm, 12 April 2024. Co-organised by PANS Chełm, War Studies University, the Air Force Military Academy in Dęblin and partner universities in Poland and Ukraine.
  4. “Fostering Eye-Tracking and AI as a Tool for Well-being” — 2nd Marketing & Business Perspectives Summit, IPAM Lisboa, 4 March 2024.

2023

  1. “Building an Intelligent Address Validator with Machine Learning” — Data Science Summit 2023, National Stadium, Warsaw, 23–24 November 2023. Applied Machine Learning track.
  2. “Neural Simulation Pipeline for Liquid State Machines” — 26th HPI Future SOC Lab Day, University of Potsdam, 11 July 2023.

2022

  1. “Designing Neural Simulation Pipeline for Liquid State Machines” — 25th HPI Future SOC Lab Day, University of Potsdam, 22 November 2022.
  2. “MyMigrationBot: A Cloud-based Facebook Social Chatbot for Migrant Populations” — FedCSIS 2022, 17th Conference on Computer Science and Intelligence Systems, Sofia, Bulgaria, 4–7 September 2022. 1st Workshop on Personalization and Recommender Systems (PeRS'22).
  3. “Designing Neural Simulations Cluster” — International Conference on Telemedicine & eHealth 2022, Warsaw, 1 September 2022.
  4. “Mixed-Method in Migration Studies: From Big Data to Small Data” — 19th IMISCOE Annual Conference, Oslo, Norway, 29 June – 1 July 2022, with I. Grabowska, A. Jastrzębowska, D. Winogrodzka and I. Kyliushyk. Workshop on Methodological Approaches and Tools in Migration Research.
  5. “Mixed-Method in Migration Studies: From Big Data to Small Data” — Workshop on Digitization of Migration Research Methods: Promises and Pitfalls, Centre of Migration Research, University of Warsaw, 30 May 2022, with the CRASH team at Kozminski University.
  6. “Liquid State Machines as Fundamental Information Processing Units” — ICT & Psychology Conference, PJAIT, Warsaw, 25–27 May 2022.
  7. “Exploring Neural Columns for Real-Time Information Processing” — 24th HPI Future SOC Lab Day, University of Potsdam, 26 April 2022. Poster.

2021

  1. “e-Mindfulness, Psychotherapy and Technology Lab (e-MPAT LAB): the Scope of Projects” — Seminar of the Department of Clinical Neuropsychology and Psychotherapy, Faculty of Psychology, University of Warsaw, 21 December 2021. Invited guest speaker, with P. Holas and S. Szumiał.
  2. “Exploring Spiking Neural Networks for Real-Time Information Processing” — 23rd HPI Future SOC Lab Day, University of Potsdam, 23 November 2021.
  3. “Liquid State Machine for Neuronal Computations on High Performance Computing Systems” — International Conference on Telemedicine & eHealth, Warsaw, 18 September 2021. Best presentation award — 1st place
  4. “Migranci i pandemia na Twitterze — analiza wydźwięku” — CLARIN-PL-Biz, Language Technologies for Science & Business II, Wrocław University of Technology, 24–25 June 2021, with O. Czeranowska and J. Kocoń (in Polish).
  5. “Liquid State Machines in Parallel Simulations of Mammalian Visual System on Raspberry Pi” — International Conference on Cybernetic Modelling of Biological Systems (MCSB 2021), Jagiellonian University and AGH, Cracow, 28–30 May 2021.
  6. “Computer-based Detection of Depression and Dementia in Spontaneous Speech” — 29th European Congress of Psychiatry, EPA Virtual 2021, 10–13 April 2021, with P. Holas and K. Wołk.

2020

  1. “Detecting Depression and Dementia in Speech with Machine Learning” — Data Science Summit 2020, Warsaw, 16 October 2020, with P. Holas.
  2. “Automation of Depression Screening by Applying Machine Learning to Gaze Pattern Analysis” — International Conference on Telemedicine & eHealth, Warsaw, 18 September 2020. Best presentation award

2019

  1. “Application of Machine Learning Algorithms to Automate Depression Screening” — International Conference on Telemedicine & eHealth, Warsaw, 22–23 November 2019.
  2. “Automated Speech-based Screening of Depression Using Deep Convolutional Neural Networks” — HCist 2019, International Conference on Health and Social Care Information Systems and Technologies, Sousse, Tunisia, 16–18 October 2019.

2015

  1. “Sentiment Analysis: Our Approach and Use Cases” — dbConf, Hucisko-Zawiercie, Poland, 28 October 2015. Co-organiser and speaker, with A. Sobkowicz.

2014

  1. “High-performance Business Intelligence Solution Based on IBM Cognos and ParAccel Analytic Database” — dbConf, Szczyrk, Poland, 25 October 2014.

2005

  1. “Wireless Internet Adoption in Poland in 2005” and “Advantages and Disadvantages of Software Patents” — International Conference for Young Researchers, University of Economics, Kishinev, Moldova, 21–22 April 2005.

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