Invited Lecture: Deep learning applications to remote sensing and medicine / Biomimetics of nests – Sustainable construction material

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Deep learning applications to remote sensing and medicine

Firstly, professor António Cunha will present some ongoing works on the group.

 

1) SAR Interferometry techniques are used for detecting and monitoring ground deformation all over the planet, such as earthquakes.

We present deep learning vision transformer models to automatically detect seismic deformation in SAR interferograms.

 

2) The grapevine variety plays an important role in wine chain production, thus identifying it is crucial for control activities. However, the specialists responsible for identifying the different varieties are disappearing. We present a study allowing the assessment of removing background regions from the grapevine images in the improvement grapevine variety classification using DL models.

 

3) Glaucoma is a silent disease that leads to vision loss or irreversible blindness. Current deep learning methods can help glaucoma screening by extending it to larger populations using retinal images. Low-cost lenses attached to mobile devices can increase the frequency of screening and alert patients earlier for a more thorough evaluation. We explored and compared the performance of classification and segmentation methods for glaucoma screening with retinal images acquired by both retinography and mobile devices  

 

Biomimetics of nests – Sustainable construction material

Sandra Pereira will present the work on biomimetics of nests.

Asian wasp nest may be an interesting construction in terms of building materials, architecture, structure and building process. Learning about this natural construction can give guidance to real constructions, about the solutions and materials, its thermal, acoustic and ventilation behaviour. Asian wasp nest may be an interesting construction in terms of building materials, architecture, structure and building process. Learning about this natural construction can give guidance to real constructions, about the solutions and materials, its thermal, acoustic and ventilation behaviour.



  Date and Time

  Location

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  • Date: 24 Jun 2022
  • Time: 11:00 AM to 01:00 PM
  • All times are (UTC+01:00) Skopje
  • Add_To_Calendar_icon Add Event to Calendar
  • Starts 22 June 2022 03:00 PM
  • Ends 24 June 2022 01:00 PM
  • All times are (UTC+01:00) Skopje
  • No Admission Charge


  Speakers

António Cunha, PhD

Topic:

Deep learning applications to remote sensing and medicine

Professor António Cunha will present some ongoing works on the group.

 

1) SAR Interferometry techniques are used for detecting and monitoring ground deformation all over the planet, such as earthquakes.

We present deep learning vision transformer models to automatically detect seismic deformation in SAR interferograms.

 

2) The grapevine variety plays an important role in wine chain production, thus identifying it is crucial for control activities. However, the specialists responsible for identifying the different varieties are disappearing. We present a study allowing the assessment of removing background regions from the grapevine images in the improvement grapevine variety classification using DL models.

 

3) Glaucoma is a silent disease that leads to vision loss or irreversible blindness. Current deep learning methods can help glaucoma screening by extending it to larger populations using retinal images. Low-cost lenses attached to mobile devices can increase the frequency of screening and alert patients earlier for a more thorough evaluation. We explored and compared the performance of classification and segmentation methods for glaucoma screening with retinal images acquired by both retinography and mobile devices  

 

Biography:

António Cunha is Assistant Professor at the University of Trás-os-Montes and Alto Douro (UTAD), where he teaches in the area of Computer Networks and Machine Learning. He has had a doctorate from UTAD since 2005. Since 2014 he has been a senior researcher at the Center for Research in Biomedical Engineering, C-BER / INEC TEC. His research interests are focused on medical and biological-image analysis, computer vision, machine learning, and in particular the development of CAD methods and tools applied to various imaging modalities such as CT images and endoscopic videos. He participates in several projects in the Biomedical area. (https://www.cienciavitae.pt/pt/951E-CEC8-B121)

Sandra Pereira, PhD

Topic:

Biomimetics of nests – Sustainable construction material

Sandra Pereira will present the work on biomimetics of nests.

Asian wasp nest may be an interesting construction in terms of building materials, architecture, structure and building process. Learning about this natural construction can give guidance to real constructions, about the solutions and materials, its thermal, acoustic and ventilation behaviour. Asian wasp nest may be an interesting construction in terms of building materials, architecture, structure and building process. Learning about this natural construction can give guidance to real constructions, about the solutions and materials, its thermal, acoustic and ventilation behaviour.

Biography:

Sandra Pereira is an Assistant Professor in the Engineering Department at the School of Science and Technologies of the University of Trás-os-Montes and Alto Douro, teaches in the areas of Economics and Project Management in Construction. She has a PhD from UTAD since 2011 in Civil Engineering Sciences in the area of Energy Efficiency of Buildings. She is a senior researcher, since 2012, in the Centre of Materials and Building Technologies (C-MADE, UBI / UTAD). Her research interests are focused on the energy efficiency of buildings and materials, sustainable construction, investment analysis and evaluation and application of machine learning in their research areas. He has been involved in several projects in his research areas and was the Researcher in charge of the research project PTDC / AAG-REC / 4700/2014 entitled “ENERWAT - From water to energy: Characterization, modelling and measures to reduce urban and rural domestic consumption”. (ORCID ID 0000-0003-2630-79





Agenda

Part 1 - Research group presentation

Part 2 -  Deep learning applications to remote sensing and medicine

Part 3 - Biomimetics of nests – Sustainable construction material