Dr. Krzysztof Kryszczuk

Projects

• Data-Driven Adaptive Tutoring Platform for Instant Personalized Learning Experience / Deputy project leader / completed
• Nowcasting water toxicity using information fusion and maschine learning / Project leader / completed
• Evaluation of modification in aerospace regulations using generative artificial intelligence models / Project leader / completed
• Data and Team Sports / Project leader / completed
• Digital Physio: prescriptive rehabilitation for pediatric patients with cerebral palsy / Project leader / completed
• AWACS – Animal Welfare Assessment and Control System for Fish Farms / Team member / completed
• Optical Character and Content Recognition for Intelligent M-Learning Platform / Deputy project leader / completed
• Sensor for a wearable device for early detection of symptoms of possible neurodegenerative diseases / Project leader / completed
• Predictive – Prescriptive Analytics for Emission & Combustion Monitoring Agents in Gas Turbine Combined Cycle Power Plants / Project leader / completed
• Intelligent sensor-based assistance system for retail / Team member / completed

Publications

Written conference contributions, peer-reviewed

• Cuccu, G., Danafar, S., Cudré-Mauroux, P., Gassner, M., Bernero, S., & Kryszczuk, K. (2017). A data-driven approach to predict NOx-emissions of gas turbines [Conference paper]. 2017 IEEE International Conference on Big Data (BIGDATA), 1283–1288. https://doi.org/10.1109/BigData.2017.8258056
• Aebersold, S., Kryszczuk, K., Paganoni, S., Tellenbach, B., & Trowbridge, T. (2016). Detecting obfuscated JavaScripts using machine learning [Conference paper]. ICIMP 2016 the Eleventh International Conference on Internet Monitoring and Protection : May 22-26, 2016, Valencia, Spain, 1, 11–17. https://doi.org/10.21256/zhaw-3848

Other publications

• Kryszczuk, K., Gluege, S., & Busin, A. (2018). Dreaming or ready to buy? : predictive analytics for online hotel booking platform. Transfer, 2018(1), 9. https://doi.org/10.21256/zhaw-3858
• Zahner, M., Britvich, I., Durrer, L., Kryszczuk, K., Roethlisberger, S., Hertig-Godeschalk, A., Schreier, D., Roth, C., & Mathis, J. (2018, June 12). Development of a non-invasive wearable core body temperature sensor. Swiss Medtech Day, Bern, 12 June 2018.
• Danafar, S., Piorkowski, M., & Kryszczuk, K. (2017). Bayesian framework for mobility pattern discovery using mobile network events [Conference paper]. 2017 25th European Signal Processing Conference (EUSIPCO), 1105–1109. https://doi.org/10.23919/EUSIPCO.2017.8081372

Oral conference contributions and abstracts

• Rerabek, M., Schiboni, G., Durrer, L., Oliveras, R., Eib, P., Rouchat, F., Probst, A., Schmidt, M., & Kryszczuk, K. (2022). Circadian rhythm tracking using core body temperature estimates from wearable sensor data. 7th International Conference on Human Interaction and Emerging Technologies (IHIET), Lausanne, Switzerland, 23-25 April 2022.
• Schiboni, G., Rerabek, M., & Kryszczuk, K. (2020). A virtual wearable sensor for detection of neurodegenerative diseases. Swiss MedTech Day 2020, Bern, Switzerland, 21 September 2020.
• Kryszczuk, K. (2018, March 23). Predictive Maintenance : intelligente Systeme erkennen eine Störung, bevor sie auftritt. Technologietag 2018: Schwerpunkt: Künstliche Intelligenz, Sensorik, Robotik, Matzingen, Deutschland, 23. März 2018.
• Rothlisberger, S., Hertig-Godeschalk, A., Schreier, D., Roth, C., Kryszczuk, K., Durrer, L., Zahner, M., & Mathis, J. (2018, March 1). A non-invasive method for measuring core body temperature and its contribution for sleep research : preliminary results. Sleep Science Winter School - BENESCO (Bern Network for Epilepsy, Sleep and Consciousness), Bern, 1 March 2018.
• Danafar, S., Kryszczuk, K., Gassner, M., & Bernero, S. (2017, September 27). Predictive-prescriptive analytics for combustion monitoring in gas turbine power plants. Predictive Maintenance, Swiss Association for Analytics (SAA), Lausanne, 27 September 2017.
• Kryszczuk, K., Durrer, L., Godeschalk, A., Schreier, D., Mathis, J., & Zahner, M. (2017, August 31). Wearable sensors for body core temperature estimation. Life in Numbers 3, Wädenswil, 31 August 2017.

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