• Collegio di Ingegneria Meccanica, Aerospaziale e dell'Autoveicolo. Componente invitato

Bachelor of Science

• Fondamenti di meccanica strutturale. A.A. 2019/20, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
• Fondamenti di meccanica strutturale. A.A. 2020/21, INGEGNERIA AEROSPAZIALE. Collaboratore del corso

• AESDO (Aircraft and Engine Structural Design and Optimization)

Projects funded by competitive calls

• DIMOSS - DIsplacement MOnitoring using Strain Sensors , (2024-2025) - Responsabile Scientifico
  Corporate-funded and donor-funded research

• Vincenzo Biscotti. Programme in Ingegneria Aerospaziale (cycle 39, 2024-in progress)
  Research subject: Shape sensing and Structural Health Monitoring approaches for aerospace Digital Twin applications
  
  Autonomous Aerial Vehicles
  Computational Solid Mechanics
  Structural Health Monitoring
• Alessio Galfione. Programme in Ingegneria Aerospaziale (cycle 39, 2023-in progress)
  Research subject: Shape reconstruction of a space structure from strain measurements
  
  Computational Solid Mechanics
  Design, Manufacturing and Testing of Lightweight Structures
  Structural Health Monitoring

• Esposito, M.; Gherlone, M. (2021)
  Material and strain sensing uncertainties quantification for the shape sensing of a composite wing box. In: MECHANICAL SYSTEMS AND SIGNAL PROCESSING, vol. 160. ISSN 0888-3270
  Contributo su Rivista
• Esposito, Marco (2021)
  Shape sensing and load reconstruction for aerospace structures. relatore: GHERLONE, MARCO; , 33. XXXIII Ciclo, P.: 208
  Doctoral Thesis
• Esposito, Marco; Gherlone, Marco; Marzocca, Pier (2021)
  External loads identification and shape sensing on an aluminum wing box: An integrated approach. In: AEROSPACE SCIENCE AND TECHNOLOGY, vol. 114. ISSN 1270-9638
  Contributo su Rivista
• Esposito, Marco; Gherlone, Marco (2020)
  Composite wing box deformed-shape reconstruction based on measured strains: Optimization and comparison of existing approaches. In: AEROSPACE SCIENCE AND TECHNOLOGY, vol. 99. ISSN 1270-9638
  Contributo su Rivista
• Candon, Michael J.; Esposito, Marco; Levinski, Oleg; Joseph, Nishit; Koschel, Stephan; ... (2020)
  On the Application of a Long-Short-Term Memory Deep Learning Architecture for Aircraft Transonic Buffet Loads Monitoring. In: AIAA Scitech 2020 Forum. ISBN: 978-1-62410-595-1
  Contributo in Atti di Convegno (Proceeding)
• Tessler, A.; Roy, Rinto; Esposito, Marco; Surace, C.; Gherlone, M. (2018)
  Shape Sensing of Plate and Shell Structures Undergoing Large Displacements Using the Inverse Finite Element Method. In: SHOCK AND VIBRATION, vol. 2018, pp. 1-8. ISSN 1070-9622
  Contributo su Rivista
• Esposito, Marco; Gherlone, Marco (2018)
  Composite wing-box structural shape reconstruction based on measured strains: a comparative study. In: XXVIII International Workshop on Computational Mechanics of Materials, Glasgow, UK, September 10 - 12, 2018
  Contributo in Atti di Convegno (Proceeding)

• DIMOSS (DISPLACEMENT MONITORING USING STRAIN SENSORS). national Software
  Inventors: Marco Esposito Marco Gherlone Rinto Roy Cecilia Surace