Rihards Balass is a researcher in Institute of electronics and computer science (EDI). Started working from 2013, and before that was an intern.
Graduated University of Latvia faculty of computing taking the direction of computer engineering.
Have been involved in multiple research projects that involve internet of things and wireless sensor networks. Main role in projects is hardware development.
Main interests include wireless sensor networks, internet of things, PCB development, 2D and 3D model creation and animation and artificial intelligence.
Recent projects
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Smart non-contact phenotyping of raspberries and quinces using machine learning methods, hyperspectral and 3D images (AKFen)
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Automated wireless security analysis of wearable devices (WearSec) #LCS (LZP)
Recent publications
- Edīte Kaufmane, Kaspars Sudars, Ivars Namatēvs, Ieva Kalniņa, Jānis Judvaitis, Rihards Balašs, Sarmīte Strautiņa. QuinceSet: Dataset of annotated Japanese quince images for object detection
- Kaspars Sudars, Ivars Namatēvs, Jānis Judvaitis, Rihards Balašs, Artūrs Ņikuļins, Astile Peter, Sarmīte Strautiņa, Edīte Kaufmane, Ieva Kalniņa. YOLOv5 Deep Neural Network for Quince and Raspberry Detection on RGB Images
- Janis Judvaitis, Valters Abolins, Artis Mednis, Rihards Balass, Krisjanis Nesenbergs. The Definitive Guide to Actual Sensor Network Deployments in Research Studies from 2013–2017: A Systematic Review
- Janis Judvaitis, Rihards Balass, Modris Greitans. Mobile IoT-Edge-Cloud Continuum Based and DevOps Enabled Software Framework