marco d'orazio

Full professor

Università Politecnica delle Marche

Italy

Research Interests

Explore related searches

Professors in Italy

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Marco D'Orazio is a Full Professor at Università Politecnica delle Marche, Facoltà di Ingegneria, Italy. His research focuses on technologies for building maintenance, user behavior in energy efficiency, and historical building conservation, as demonstrated in recent publications that explore automatic detection of workplace health status, immersive virtual training environments, and the application of convolutional neural networks. Professor D'Orazio is also involved in studies regarding fire safety and user interaction in building environments.

Articles (18)

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Collaborators (6)

Gianluca Coccia

Assistant Professor

Università Politecnica delle Marche

ITALY

View details

Ruggiero Lovreglio

Associate Professor

Massey University

NEW ZEALAND

View details

Marta Carosi

Università Politecnica delle Marche

ITALY

View details

Arianna Latini

Assistant Professor

Marche Polytechnic University

ITALY

View details

enrico quagliarini

Università Politecnica delle Marche

ITALY

View details

Francesco Aletta

University College London

UNITED KINGDOM

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

marco d'orazio

Research Interests

Explore related searches

Contact this professor

About

Articles (18)

Immersive Virtual Training Environment to Improve Building Users’ Awareness of Energy-Related Behaviour: Development and Pilot Testing

Automatic detection of the health status of workplaces by processing building end-users’ maintenance requests

Leveraging user-generated content to enhance heritage monitoring protocols and resources allocation through aspect-based sentiment analysis

Virtual reality application to explore indoor soundscape and physiological responses to audio-visual biophilic design interventions: An experimental study in an office environment

Automatic monitoring of the bio colonisation of historical building's facades through convolutional neural networks (CNN)

Towards Using Digital Technologies to Balance Conservation and Fire Mitigation in Building Heritage Hosting Vulnerable Occupants: Rapid Evacuation Simulator Verification for the “Omero Museum” (Ancona, Italy)

Automated Priority Assignment of Building Maintenance Tasks Using Natural Language Processing and Machine Learning

Can active and passive wayfinding systems support fire evacuation in buildings? Insights from a virtual reality-based experiment

Experimental evaluation of a water spray system for semi-outdoor spaces: Analysis of the effect of the operational parameters

How Could Increasing Temperature Scenarios Alter the Risk of Terrorist Acts in Different Historical Squares? A Simulation-Based Approach in Typological Italian Squares

Development and application of an experimental framework for the use of virtual reality to assess building users’ productivity, comfort, and adaptive-behaviour

Crossed Effect of Acoustics on Thermal Comfort and Productivity in Workplaces: A Case Study in Virtual Reality

Improving Cultural Heritage conservation: LSTM neural networks to effectively processing end-user’s maintenance requests

Improving Cultural Heritage conservation: LSTM neural networks to effectively processing end-user’s maintenance requests

Life Cycle Assessment of Mortars with Fine Recycled Aggregates from Industrial Waste: Evaluation of Transports Impact in the Italian Context

Influence of the rain on algae growth on building facades. A predictive model based on neural networks

Evaluation of effectiveness and resources consumption of water mist spray systems in Mediterranean areas by predictions based on LSTM Recurrent Neural Networks

Modelling microalgae biofouling on porous buildings materials: a novel approach

Collaborators (6)

Gianluca Coccia

Ruggiero Lovreglio

Marta Carosi

Arianna Latini

enrico quagliarini

Francesco Aletta

Make your next move.