We are thrilled to announce that our paper “A Blockchain-based Secure Internet of Medical Things Framework for Stress Detection” has been published on Information Sciences! 🎉🚀

DON-B-STRESSED is a cutting-edge, blockchain-based secure Internet of Medical Things (IoMT) framework that detects stress with the help of AI and IoT wearables. We’re proud to share that our work has been published in Information Sciences, a leading academic journal in the field of computer science.

This project represents a significant breakthrough in the intersection of technology and healthcare, and we couldn’t be more excited to share it with the world. 

Link: https://www.sciencedirect.com/science/article/abs/pii/S0020025523001354

We’re thrilled to share that our article on “From Artificial Intelligence to Explainable Artificial Intelligence in Industry 4.0” has been recognized as a Highly Cited Paper in 2022 by Web of Science, Clarivative! 🎉📚

This means that as of September/October 2022, our article received enough citations to place it in the top 1% of the academic field of Engineering based on a highly cited threshold for the field and publication year. We’re honored to be recognized for our contributions to the field of AI and Industry 4.0.

In our article, we surveyed what, how, and where explainable AI can be implemented in the Industry 4.0 context. We explored the need for explainability in AI, the different techniques used to make AI explainable, and the applications of explainable AI in Industry 4.0.

We’re proud to have contributed to the growing body of research on explainable AI, and we hope our work will continue to inform and inspire future developments in this exciting field.

Click here to read the full article: https://ieeexplore.ieee.org/abstract/document/9695219 

We are excited to welcome Marzia Canzaniello as new researcher to our MODAL laboratory! With her expertise and skills, we’re looking forward to the exciting contributions she will bring to our ongoing projects. Stay tuned for more updates as we continue to push the boundaries of cutting-edge research in DL and AI! 

We’re excited to share that our latest research on “e-Health bookings and Knowledge Graphs” has just been published in the prestigious IEEE Journal of Biomedical and Health Informatics! 🎉📈

With new technologies transforming the medical field, structuring e-health data through a Knowledge Graph approach can provide a quick and simple method for organizing and retrieving valuable medical insights. We’re excited to continue exploring the possibilities of e-health data and Knowledge Graphs in the future.

To read the full paper, head over to IEEE Journal of Biomedical and Health Informatics: https://ieeexplore.ieee.org/abstract/document/10004694 

We are excited to announce that the DUTCH POLYMER INSTITUTE (DPI) has funded our new three-year research project titled “Deep-Learning-aided GPC-IR fingerprinting of complex polyolefin mixtures (DL-PO)”!🎉🔬 

By combining deep learning with GPC-IR fingerprinting, we hope to unlock new possibilities for analyzing and characterizing these materials, and to provide valuable insights into their properties and behavior. This research is being carried out in partnership with the Department of Chemical Sciences of the University of Naples Federico II.

We are grateful to the DUTCH POLYMER INSTITUTE (DPI) for their support, and we look forward to sharing our progress and results with the scientific community.

Abstract: A sustainable society needs plastics, and also practical ways for recycling post-consumer plastic wastes. This project addresses the latter question for polyolefins (whose share of the plastic market already exceeds 50 wt.-% and is predicted to grow further) with an interdisciplinary approach. The general idea is to facilitate the mechanical recycling of polyolefin waste streams, previously separated from other plastics with existing methods, by implementing a rapid fine sorting instrument which integrates high-end characterization techniques and a properly designed Artificial Intelligence algorithm, trained on a large archive of molecular fingerprints for commercial grades and able to recognize said fingerprints in complex mixtures.

We are thrilled to announce that our paper titled “Cut the Peaches: Image Segmentation for Utility Pattern Mining in Food Processing” has won the Best Paper Award at UDML@ICDM 2022 – International Conference on Data Mining. 

Our work demonstrates the effectiveness of using image segmentation techniques for utility pattern mining in food processing, specifically for identifying and tracking the optimal ripeness of peaches.

We hope that our research can contribute to improving the efficiency and quality of food processing and inspire further advancements in the field. Thank you to the organizers and program committee of UDML@ICDM2022 for this recognition.

We are pleased to announce that our research paper titled “A data-driven artificial neural network model for the prediction of ground motion from induced seismicity: The case of The Geysers geothermal field” has been published on Frontiers in Earth Science.

We are proud of the work done by our team and hope that this research will contribute to the field of ground-motion modeling and seismic hazard assessment.

If you’re interested in learning more about our research, you can read the full paper by clicking the following link:

https://www.frontiersin.org/articles/10.3389/feart.2022.917608/full

We’re excited to announce that the project “ELIXIR x NextGenerationIT: Consolidamento dell’Infrastruttura Italiana per i Dati Omici e la Bioinformatica (ElixirxNexGentIT)” has been financed by PNRR. This project aims to strengthen the Italian infrastructure for omics data and bioinformatics through collaboration between ELIXIR, an international organization for managing and sharing life science data, and NextGenerationIT, an Italian IT company specializing in genomics and bioinformatics. Stay tuned for updates on this exciting project! 🧬💻🌍

We are excited to welcome Daniela Annunziata and Martina Savoia as new researchers to our MODAL laboratory! With their expertise and skills, we’re looking forward to the exciting contributions they will bring to our ongoing projects. Stay tuned for more updates as we continue to push the boundaries of cutting-edge research in DL and AI!  

We are delighted to welcome Dr. Rokas Gipsikis, a visiting Ph.D. student from Lithuania, to our team! Rokas will be joining us, especially for eXplainable Artificial Intelligence (XAI) research. We look forward to collaborating with Rokas and are excited about the contributions he will make to our work.