Difference between revisions of "User:Adimauro"
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| + | == Alfio Di Mauro == | ||
I received the Master’s degree in Electronic Engineering from The Electronics and Telecommunications Department of Politecnico di Torino in 2016. | I received the Master’s degree in Electronic Engineering from The Electronics and Telecommunications Department of Politecnico di Torino in 2016. | ||
In January 2017 I joined the Integrated System Laboratory (IIS) of the Swiss Federal Institute of Technology of Zurich. I started my PhD in september 2017 in the group led by Prof. Luca Benini. | In January 2017 I joined the Integrated System Laboratory (IIS) of the Swiss Federal Institute of Technology of Zurich. I started my PhD in september 2017 in the group led by Prof. Luca Benini. | ||
Latest revision as of 23:51, 25 February 2018
Contents
Alfio Di Mauro
I received the Master’s degree in Electronic Engineering from The Electronics and Telecommunications Department of Politecnico di Torino in 2016. In January 2017 I joined the Integrated System Laboratory (IIS) of the Swiss Federal Institute of Technology of Zurich. I started my PhD in september 2017 in the group led by Prof. Luca Benini.
Interests
My research is mainly focused on the development of new power management policies for modern ULP System-on-Chip (SoC) Both from a technological and architectural perspective, as well as the exploration of emerging Energy Efficiency oriented computational paradigms like Event-Driven Computing
Contact Information
- Office: ETZ J78
- telephone: +41 44 63 28219
- e-mail: adimauro@iis.ee.ethz.ch
- www: Alfio Di Mauro (personal page)
- www: Alfio Di Mauro (ETH page)
Available Projects
- GPT on the edge
- Testbed Design for Self-sustainable IoT Sensors
- Towards Flexible and Printable Wearables
- Modular Distributed Data Collection Platform
- Object Detection and Tracking on the Edge
- Design of a Low Power Smart Sensing Multi-modal Vision Platform
- Design of a High-performance Hybrid PTZ for Multimodal Vision Systems
- Integration Of A Smart Vision System
- Spiking Neural Network for Autonomous Navigation
- Event-Driven Convolutional Neural Network Modular Accelerator
- Level Crossing ADC For a Many Channels Neural Recording Interface
- your own project idea!
Projects In Progress
Completed Projects
- Toward hyperdimensional active perception: learning compressed sensorimotor control by demonstration
- Ternary Weights Engine For Efficient Many Channels Spike Sorting Applications
- Digital Audio Interface for Smart Intensive Computing Triggering
- Interfacing PULP with a Brain-Inspired Ultra-Low Power Spiking Cochlea
