Enea Dimitris Tseno

Enea Dimitris Tseno is a Doctoral Researcher at Loughborough University's School of Architecture, Building and Civil Engineering. His research focuses on Intelligent Digital Twins, integrating Physics-informed Machine Learning (PIML) into HVAC systems' digital twins to enhance predictive energy management. He utilizes VR technology as an interface for immersive exploration of DT behavior. Since 2020, he has specialized in Building Energy Simulations for compliance and Net Zero strategies, developing Python tools for HVAC system analysis. Active in academia, he serves as BERG’s Doctoral Researcher Representative and ASHRAE UK Student Activities Chair, mentoring students in Net Zero competitions.

His recent research includes a study on ventilation effectiveness and CO2 concentration prediction using CFD simulations and Random Forest models. He is affiliated with the Building Energy research group and holds a BSc and MSc. Contact details include a phone number and LinkedIn profile.

Research Interests:

• AI-driven Digital Twin methodologies for HVAC systems
• Physics-informed Neural Networks (PINNs) in energy systems
• Net Zero Carbon strategies and building energy optimization
• Virtual Reality applications in engineering simulation