January, 2026
Raimonds Arājs – Data-driven Decision Making to Reduce Water Loss in Urban Networks
Jānis Matīss Rubulis – Establishing a Data Framework for a Digital Twin to Replicate Order Picking Operations
Araliya Sumudu Dissanayaka Dissanayaka Mudiyanselage – AI-Powered Policy Generation Method for Automating Website Requirements for Local Businesses
Māris Peskops – Usage of Data Processing for Electric Grid Wooden Pole Damage and Maintenance Inspection
Manathunga Dewage Jeewantha Lakshan Manathunga – AI Powered Content Optimization Method Developing to Improve Search Engine Optimization
Vasanthi Raavipati – AI-Driven CRM: Engagement and Retention in Banking
Kusal Shanuka Pathira Vasan – A Framework for Evaluating Serverless Computing as a Cost-Effective Alternative to Microservices
Ye Zhang – Data Quality Driven Adaptive Optimization Research on Real Estate Data
Willora Mudiyanselage Isuru Kamal Bowatte – Detection and Analysis of Domain Generation Algorithms in Malware Using Deep Learning
Jeļena Zujeva – Methodology for Selecting an Architectural Transformation Scenario for the Modernization of Monolithic Information Systems in the Financial Sector
Rīgas Tehniskās universitātes vērtības ir ilgtspējīga attīstība, kvalitāte, atvērtība un sadarbība, radošums, akadēmiskā brīvība, motivācija izzināt un atklāt.