Matti Kaisti
mkaist@utu.fi +358 44 533 4238 Vesilinnantie 5 Turku |
medical instrumentation, biosignal analytics, clinical machine learning
I work in biomedical engineering to develop disease monitoring systems. By applying signal processing and AI to novel sensory data, I aim to create clinically validated solutions that integrate technologies across various maturity levels.
I currently teach Analytics of Health Wearables, an advanced engineering course focused on programming and algorithms, and Introduction to Health Technology, an entry-level course."
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- Hand-Held Transistor Based Electrical and Multiplexed Chemical Sensing System (2016)
- ACS Sensors
- Radiometric Resolution Analysis and a Simulation Model (2016)
- Remote Sensing
- An Ion-Sensitive Floating Gate FET Model: Operating Principles and Electrofluidic Gating (2015)
- IEEE transactions on electron devices
- Low-Cost Chemical Sensing Platform With Organic Polymer Functionalization (2015)
- IEEE Electron Device Letters
- Surface Functionalization of Ion-Sensitive Floating-Gate Field-Effect Transistors With Organic Electronics (2015)
- IEEE transactions on electron devices
- Agile Principles in the Embedded System Development (2014)
- Lecture Notes in Business Information Processing
- Sulautettujen järjestelmien ketterä käsikirja (2014) Teijo Lehtonen, Seppo Tuomivaara, Ville Rantala, Marja Känsälä, Tuomas Mäkilä, Tero Jokela, Kaisa Könnölä, Matti Kaisti, Samuli Suomi, Minna Isomäki, Marko Ylitolva
- Uncertainty of Radiometer Calibration Loads and Its Impact on Radiometric Measurements (2014)
- IEEE Transactions on Microwave Theory and Techniques
- Agile methods for embedded systems development - a literature review and a mapping study (2013)
- EURASIP Journal on Embedded Systems
- Work-in-Progress - AgiES: Agile Methods for Embedded System Development (2013)
- Design Automation Conference
UTU Research Portal