Alexander Kocian

About

Alexander Kocian’s research bridges the critical intersection of information and communication technologies (ICT) and healthcare, with a primary focus on improving the quality of life for individuals with Autism Spectrum Disorder (ASD). His most-cited work, a comprehensive 2023 survey on technological tools and systems for ASD diagnosis and therapy, has already garnered 10 citations, highlighting its timely relevance. This survey explores how customized software, emotion recognition systems, and social behavior tools can provide systemic support for persons with ASD, demonstrating Kocian’s commitment to translating ICT advances into practical, human-centered solutions. Beyond healthcare, Kocian has also contributed to financial analytics, as seen in his 2018 study applying Auto Regressive Integrated Moving Average (ARIMA) modeling and Support Vector Machine (SVM) classification to financial time series. This work showcases his versatility in leveraging machine learning for complex data patterns. Kocian’s research not only advances assistive technologies but also underscores the transformative potential of ICT in addressing societal challenges, making his work a valuable resource for students and researchers exploring the intersection of technology, psychology, and data science.

Research Focus

Key Achievements

Top Papers

1. 1
   A survey on technological tools and systems for diagnosis and therapy of autism spectrum disorder

   10 citations · 2023
2. 2
   Auto Regressive Integrated Moving Average Modeling and Support Vector Machine Classification of Financial Time Series

   2 citations · 2018

Key Collaborators

Contact & Links