João Pedro De Sousa Meneses

MSc

Calculated based on number of publications stored in Pure and citations from Scopus
20202024

Research activity per year

Personal profile

Personal profile

João Meneses graduated with an Integrated Master's in Bioengineering with a specialization in Biomedical Engineering from the Faculty of Engineering of the University of Porto (FEUP, Portugal), in collaboration with the Biomedical Sciences Institute of Abel Salazar (ICBAS, Portugal) in October 2020. His master's thesis was developed in collaboration with the University Medical Center Utrecht (UMC, The Netherlands) and was entitled "3D Printing of Polycaprolactone/Graphene-based Materials Scaffolds for Tissue Engineering". From March 2021 until August 2023, he worked as a Junior Research Fellow at the International Iberian Nanotechnology Laboratory (INL, Portugal) in the Nanosafety Research Group. The work focused on developing computational methods to achieve Safe-and-Sustainable advanced nanomaterials (NMs). To this aim, he took advantage of (i) supervised and (ii) unsupervised machine learning (ML) algorithms, (iii) quantitative structure-activity relationships (QSAR), and (iv) quantitative structure-property relationships (QSPR) models. Overall, the work paved the way for efficient decision-making, prediction, and mitigation of the potential occupational and environmental risks of NMs. Moreover, he performed a secondment at IBM Research Europe (Zurich, Switzerland). The work focused on integrating an AI-assisted microcontroller-based chemical sensor with blockchain. Such a secondment allowed him to continue developing skills in developing interpretable and interoperable ML algorithms and gain knowledge on electrochemical sensors and blockchain technology. Since September 2023, he started as a PhD candidate at the University of Twente (Dep. of Advanced Organ Bioengineering and Therapeutics, The Netherlands) to work on (i) Organs-on-chips, (ii) high-content data analysis, and (iii) AI.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Integrated Masters in Bioengineering, Universidade do Porto

16 Sept 201516 Oct 2020

Award Date: 16 Oct 2020

Artificial Intelligence Expert

  • Deep Learning
  • Traditional Machine Learning
  • Computer Vision
  • Health and Well-being
  • Ethical Dimensions of AI

Collaborations and top research areas from the last five years

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