Internet of Things

Internet of Things (IoT) represents a paradigm shift from the traditional Internet and Cloud computing to a new reality where all “things” are connected to the Internet. Indeed, it has been estimated that the number of connected IoT-devices will reach one trillion by 2035. Such an explosive growth in IoT-devices necessitates new breakthroughs in AI research that can help efficiently deploy intelligence at the edge. Given that IoT-devices are extremely resource-constrained (e.g., small memory, low operating frequencies for energy efficiency), we focus primarily on challenges related to enabling deeplearning models at the edge.

internet of things

Selected Publications

Marculescu, Radu; Marculescu, Diana; Ogras, Umit

Edge AI: Systems Design and ML for IoT Data Analytics (Inproceedings)

Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 3565–3566, 2020.

(Links | BibTeX)

Bhardwaj, Kartikeya; Chen, Wei; Marculescu, Radu

New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design (Journal Article)

arXiv preprint arXiv:2008.10805, 2020.

(Links | BibTeX)

Bhardwaj, Kartikeya; Suda, Naveen; Marculescu, Radu

EdgeAI: A Vision for Deep Learning in IoT Era (Journal Article)

IEEE Design & Test, 2019.

(Links | BibTeX)