The paper “Are Smart Homes Adequate for Older Adults with Dementia?”, by Gibson Chimamiwa, Alberto Giaretta, Marjan Alirezaie, Federico Pecora, and Prof. Amy Loutfi, got accepted at Sensors, MDPI.

The paper “A PLS-HECC-based Device Authentication and Key Agreement Scheme for Smart Home Networks”, co-authored by Dr. Alberto Giaretta with J. Pirayesh, Prof. M. Conti, and Prof. P. Keshavarzi, got accepted at Computer Networks, Elsevier.

On the 11th of April, Pedro Zuidberg dos Martires joined the MPI Lab. Pedro was one of Prof. Luc De Raedt’s former Ph.D. students, and he was also a member of the former ReGround project, so he is already a familiar face to a selection of us in the MPI group. Pedro is now a Postdoc Researcher founded by the…

The paper “A Machine Learning-based Approach to Detect Threats in Bio-Cyber DNA Storage Systems”, co-authored by Alberto Giaretta with F. Tavella, Prof. M. Conti, and Prof. S. Balasubramaniam, got accepted at the journal Computer Communications, Elsevier.

Words matter. When we humans think of a word like “apple”, we get many associations. We think about the appearance of the apple, the sound when we bite into the apple, the texture, and the taste. We also understand that an apple can be sliced, but still eaten. This is today impossible for an AI to understand, which Professor Amy…

Neziha Akalin delivered an invited talk on “Peceived Safety in Human-Robot Interaction” at a workshop within MIRAI 2.0 – “AI applied to medicine and health” on October 28. More information about the workshop can be found here: Workshops 2021 | Mirai MIRAI 2.0 is a STINT funded project aiming to connect Swedish and Japanese researchers. In total, 19 Swedish and…

Alberto Giaretta and Amy Loutfi got their paper “On the People Counting Problem in Smart Homes: Undirected Graphs and Theoretical Lower-Bounds” accepted at Journal of Ambient Intelligence and Humanized Computing (JAIHC).

The paper “S×C4IoT: A Security-by-Contract Framework for Dynamic Evolving IoT Devices”, authored by Alberto Giaretta, Nicola Dragoni, and Fabio Massacci, has been accepted for publication on ACM Transactions on Sensor Networks.

Our latest work has been featured in MIT Technology Review! “DNA Molecular Storage System: Transferring Digitally Encoded Information through Bacterial Nanonetworks” is the result of a collaboration between Örebro University, University of Padua, Waterford Institute of Technology, and Tampere University of Technology. Find the full article on this page: https://www.technologyreview.com/s/610071/storing-data-in-dna-is-a-lot-easier-than-getting-it-back-out/