The Data Science Discipline of the School of ITEE is hosting the following guest research seminar
Smart Things in Industrial IoT
Speaker: Haoyu Ren (Technical University of Munich)
Host: Prof Xue Li
Abstract: "Tiny machine learning (TinyML) is a rapidly growing field aiming to democratize machine learning (ML) for resource-constrained microcontrollers, processing sensor data everywhere in real time. The deployment of TinyML has significant computational, communicational, and power constraints, which traditional ML fails to address. Most current TinyML solutions are based on offline settings and support only inference on IoT devices. And the TinyML ecosystem is highly fragmented. To address these issues, this talk introduces our relevant research effort, including the TinyOL system (TinyML with Online Learning) to enable incremental on-device training, the synergy of TinyML and complex event processing (CEP), a semantic management system to realize the joint management of TinyML models and IoT devices at scale, and a federate meta-learning algorithm to facilitate TinyML applications by aggregating the knowledge learned across tiny devices."
Speaker Bio: Haoyu is a PhD candidate at Technical University of Munich and Siemens in Germany since 2020. In March, he starts his 3-month research exchange at UQ under the supervision of Prof. Xue Li. Haoyu has a B.S in electrical engineering from Chongqing University and a M.S. in electrical and computer engineering from the Technical University of Munich. His current research interests include Internet of Things, Tiny Machine Learning, Knowledge Graph, and Semantic techniques.
About Data Science Seminar
This seminar series is hosted by EECS Data Science.