Dr. Krzysztof Kryszczuk

Netzwerk

Mitglied in Netzwerken

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

Projekte

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

Publikationen

Schriftliche Konferenzbeiträge, peer-reviewed

• Cuccu, G. et al. (2017) ‘A data-driven approach to predict NOx-emissions of gas turbines’, in 2017 IEEE International Conference on Big Data (BIGDATA), pp. 1283–1288. doi: 10.1109/BigData.2017.8258056.
• Aebersold, S. et al. (2016) ‘Detecting obfuscated JavaScripts using machine learning’, in ICIMP 2016 the Eleventh International Conference on Internet Monitoring and Protection : May 22-26, 2016, Valencia, Spain. Red Hook: Curran Associates, pp. 11–17. doi: 10.21256/zhaw-3848.

Weitere Publikationen

• Kryszczuk, K., Gluege, S. and Busin, A. (2018) ‘Dreaming or ready to buy? : predictive analytics for online hotel booking platform’, Transfer, 2018(1), p. 9. doi: 10.21256/zhaw-3858.
• Zahner, M. et al. (2018) ‘Development of a non-invasive wearable core body temperature sensor’, in Swiss Medtech Day, Bern, 12 June 2018.
• Danafar, S., Piorkowski, M. and Kryszczuk, K. (2017) ‘Bayesian framework for mobility pattern discovery using mobile network events’, in 2017 25th European Signal Processing Conference (EUSIPCO). IEEE, pp. 1105–1109. doi: 10.23919/EUSIPCO.2017.8081372.

Mündliche Konferenzbeiträge und Abstracts

• Rerabek, M. et al. (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, G., Rerabek, M. and Kryszczuk, K. (2020) ‘A virtual wearable sensor for detection of neurodegenerative diseases’, in Swiss MedTech Day 2020, Bern, Switzerland, 21 September 2020.
• Kryszczuk, K. (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, S. et al. (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, S. et al. (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, K. et al. (2017) ‘Wearable sensors for body core temperature estimation’, in Life in Numbers 3, Wädenswil, 31 August 2017.

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