Research & Professional Achievements
Research & Professional Achievements
My research focuses on the intersection of Artificial Intelligence, Context-Aware Computing, Mobile Commerce.
AI-Driven Forecasting and Optimization of Hydropower Schedule: An Ongoing Collaboration with Lucerne University of Applied Sciences and Arts (HSLU) to Minimize Pump-Turbine Cycling
Nutritional Decision Support Systems: An Expert System for Real-Time Dietary Suitability in Diabetic Care. An Interdisciplinary Ongoing Collaboration with the Department of Supply Chain Management at the International Hellenic University (IHU)
Click-Through-rate (CTR) Prediction: Design, Development and Testing of Deep Learning Methodologies for Predictive Click-Through-Rate Modeling
Agentic Point Of Interest (POI) Marketing: Real-Time Promotion and Contextual Evaluation of Business Offers via Large Language Models
Data-Driven Asset Valuation: Deep Learning Frameworks for Real Estate Market Intelligence
Viktoratos, Iosif, and Athanasios Tsadiras. 2025. "Advancing Real-Estate Forecasting: A Novel Approach Using Kolmogorov–Arnold Networks" Algorithms 18, no. 2: 93. https://doi.org/10.3390/a18020093
Uruqi, Albin, Iosif Viktoratos, and Athanasios Tsadiras. 2025. "A Novel Framework Leveraging Large Language Models to Enhance Cold-Start Advertising Systems" Future Internet 17, no. 8: 360. https://doi.org/10.3390/fi17080360
Uruqi, Albin, and Iosif Viktoratos. 2025. "Exploiting Spiking Neural Networks for Click-Through Rate Prediction in Personalized Online Advertising Systems" Forecasting 7, no. 3: 38. https://doi.org/10.3390/forecast7030038
Iosif Viktoratos, Athanasios Tsadiras, and Nick Bassiliades. 2018. "Combining community-based knowledge with association rule mining to alleviate the cold start problem in context-aware recommender systems". Expert Systems with Applications. 101, C (July 2018), 78–90. https://doi.org/10.1016/j.eswa.2018.01.044