Dr. Krzysztof Kryszczuk

Netzwerk

Mitglied in Netzwerken

• Swiss Alliance for Data-Intensive Services
• Datalab
• Swiss Association for Analytics

Projekte

• Nowcasting water toxicity using information fusion and maschine learning / ProjektleiterIn / Projekt laufend
• Evaluation of modification in aerospace regulations using generative artificial intelligence models / ProjektleiterIn / Projekt laufend
• Data and Team Sports / ProjektleiterIn / Projekt abgeschlossen
• Digital Physio: prescriptive rehabilitation for pediatric patients with cerebral palsy / ProjektleiterIn / Projekt abgeschlossen
• AWACS – Animal Welfare Assessment and Control System for Fish Farms / Teammitglied / Projekt abgeschlossen
• Optical Character and Content Recognition for Intelligent M-Learning Platform / Stellv. ProjektleiterIn / Projekt abgeschlossen
• Wildlife@Campus Grüental - kleine Säugetiere im Fokus / Teammitglied / Projekt abgeschlossen
• Sensor for a wearable device for early detection of symptoms of possible neurodegenerative diseases / ProjektleiterIn / Projekt abgeschlossen
• Predictive - Prescriptive Analytics for Emission & Combustion Monitoring Agents in Gas Turbine Combined Cycle Power Plants / ProjektleiterIn / Projekt abgeschlossen
• Intelligent sensor-based assistance system for retail / Teammitglied / Projekt abgeschlossen
• Wirksamkeit von Kostform-Optimierungen in Schweizer Akutspitälern / Teammitglied / Projekt abgeschlossen

Publikationen

• Cuccu, Giuseppe; Danafar, Somayeh; Cudré-Mauroux, Philippe; Gassner, Martin; Bernero, Stefano; Kryszczuk, Krzysztof,

  2017.

  A data-driven approach to predict NOx-emissions of gas turbines [Paper].

  In:

  2017 IEEE International Conference on Big Data (BIGDATA).

  2017 IEEE International Conference on Big Data (IEEE BigData 2017), Boston, 11-14 December 2017.

  S. 1283-1288.

  Verfügbar unter: https://doi.org/10.1109/BigData.2017.8258056

• Aebersold, Simon; Kryszczuk, Krzysztof; Paganoni, Sergio; Tellenbach, Bernhard; Trowbridge, Timothy,

  2016.

  Detecting obfuscated JavaScripts using machine learning [Paper].

  In:

  ICIMP 2016 the Eleventh International Conference on Internet Monitoring and Protection : May 22-26, 2016, Valencia, Spain.

  ICIMP 2016 the Eleventh International Conference on Internet Monitoring and Protection, Valencia, Spain, 22-26 May 2016.

  Red Hook:

  Curran Associates.

  S. 11-17.

  Verfügbar unter: https://doi.org/10.21256/zhaw-3848

• Zahner, Michele; Britvich, Ilia; Durrer, Lukas; Kryszczuk, Krzysztof; Roethlisberger, Sandra; Hertig-Godeschalk, Anneke; Schreier, David; Roth, Corinne; Mathis, Johannes,

  2018.

  Development of a non-invasive wearable core body temperature sensor [Poster].

  In:

  Swiss Medtech Day, Bern, 12 June 2018.

• Kryszczuk, Krzysztof; Gluege, Stefan; Busin, Adrian,

  2018.

  Dreaming or ready to buy? : predictive analytics for online hotel booking platform.

  Transfer.

  2018(1), S. 9.

  Verfügbar unter: https://doi.org/10.21256/zhaw-3858

• Danafar, Somayeh; Piorkowski, Michal; Kryszczuk, Krzysztof,

  2017.

  Bayesian framework for mobility pattern discovery using mobile network events [Paper].

  In:

  2017 25th European Signal Processing Conference (EUSIPCO).

  25th European Signal Processing Conference (EUSIPCO), Kos, 28 August - 2 September 2017.

  IEEE.

  S. 1105-1109.

  Verfügbar unter: https://doi.org/10.23919/EUSIPCO.2017.8081372

• Rerabek, Martin; Schiboni, Giovanni; Durrer, Lukas; Oliveras, Ruben; Eib, Philippe; Rouchat, Fabien; Probst, Anja; Schmidt, Markus; Kryszczuk, Krzysztof,

  2022.

  Circadian rhythm tracking using core body temperature estimates from wearable sensor data.

  In:

  7th International Conference on Human Interaction and Emerging Technologies (IHIET), Lausanne, Switzerland, 23-25 April 2022.

• Schiboni, Giovanni; Rerabek, Martin; Kryszczuk, Krzysztof; et al.,

  2020.

  A virtual wearable sensor for detection of neurodegenerative diseases.

  In:

  Swiss MedTech Day 2020, Bern, Switzerland, 21 September 2020.

• Kryszczuk, Krzysztof,

  2018.

  Predictive Maintenance : intelligente Systeme erkennen eine Störung, bevor sie auftritt.

  In:

  Technologietag 2018: Schwerpunkt: Künstliche Intelligenz, Sensorik, Robotik, Matzingen, Deutschland, 23. März 2018.

• Rothlisberger, Sandra; Hertig-Godeschalk, Anneke; Schreier, David; Roth, Corinne; Kryszczuk, Krzysztof; Durrer, Lukas; Zahner, Michele; Mathis, Juhannes,

  2018.

  A non-invasive method for measuring core body temperature and its contribution for sleep research : preliminary results.

  In:

  Sleep Science Winter School - BENESCO (Bern Network for Epilepsy, Sleep and Consciousness), Bern, 1 March 2018.

• Danafar, Somayeh; Kryszczuk, Krzysztof; Gassner, Martin; Bernero, Stefano,

  2017.

  Predictive-prescriptive analytics for combustion monitoring in gas turbine power plants.

  In:

  Predictive Maintenance, Swiss Association for Analytics (SAA), Lausanne, 27 September 2017.

• Kryszczuk, Krzysztof; Durrer, Lukas; Godeschalk, Anneke; Schreier, David; Mathis, Johannes; Zahner, Michele,

  2017.

  Wearable sensors for body core temperature estimation.

  In:

  Life in Numbers 3, Wädenswil, 31 August 2017.

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