Maksims Kornevs

Maksims Kornevs serves as an Adjunct Lecturer at KTH Royal Institute of Technology's School of Engineering, Division of Health Informatics and Logistics since 2021, specializing in data communication, medical engineering, and healthcare complexity research. His academic journey includes a PhD in Technology and Health from KTH (2019), Master's and Bachelor's degrees in Information Technology and Computer Science from Riga Technical University (top 1% of class).

• Doctor of Philosophy in Technology and Health (KTH, 2019)
• Master of Engineering Sciences in Information Technology (Riga Technical University, 2013)
• Bachelor of Engineering Sciences in Computer Control (Riga Technical University, 2011)

His research spans participatory methods, gaming simulation, healthcare logistics, and mental health systems, with significant focus on complex adaptive systems in public sectors. Recent work integrates AI-driven decision aids for cancer screening and eldercare digitalization, emphasizing real-world implementation challenges through ethnographic studies and simulation frameworks.

Publications (2014-2024) reveal three thematic clusters: 1) Healthcare simulation (elderly care, frailty prevention, mental health systems), 2) Logistics optimization (port operations, road procurement, supply chain), and 3) Serious games applications (public servant training, engineering education). Cross-cutting methodologies include Q methodology, system dynamics, and participatory design.

As Principal Investigator, he leads multiple funded projects including Digital Decision Aid for Cancer Screening (49.5 kSEK, 2023-2024) and Computer Technology for Piano Learning (21 kSEK, 2024), demonstrating applied research translation. He previously managed KTH's Integration Lab supporting home care research and contributed to EU projects like POSITIVE (elderly monitoring systems) and ELISA (port digitalization).