PD Dr. Michele Magno

Industrial Awards & Patents

• March 2018: ETH Spark Award 2018 as the best five inventions of 2017 for “Zero-Power Receiver for Touch Communication and Touch Sensing.”
• September 2017: EU Patent submission: “Zero-Power Receiver for Touch Communication and Touch Sensing.”
• November 2015: Top 4 Team of Texas Instruments Innovation Contest 2015“Energy Neutral Multisensors Wearable Bracelet
• November 2016: Award for the First team for “Shelmet: a self-sustaining smart helmet for motor-bikers” at Texas Instruments Contest 2016, Automotive. Role: Advisor Professor.
• November 2016: Award “Capitani dell’anno 2016, Automotive” Modena, 12-11-2016- Shelmet: a self-sustaining smart helmet for motor-bikers.

Academic Awards

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• December 2011: Best Paper Awards: International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) 2011;

• November 2014: Award for short visiting professorship with Labex Network at Sophia Antipolis France.

• November 2015: Best Paper Award at the Embedded Software and MicroElectronics "Green your electronics: less power, more value" eSame 2015 Conference for his paper and presentation "An Autonomous Multi-Sensor Wearable Device with Human Body Harvesting."

• March 2015: Best Poster Award: Murphy, F.E.; Popovici, E.; Whelan, P.; Magno, M., "Development of an heterogeneous wireless sensor network for instrumentation and analysis of beehives," in Instrumentation and Measurement Technology Conference (I2MTC), 2015 IEEE International , vol., no., pp.346-351, 11-14 May 2015

• September 2016: Best paper award at SPIE's Remote Sensing and Security+Defence International Symposia held 24-29 September 2016 in Edinburgh, United Kingdom, for the paper Cavigelli, L., Bernath, D., Magno, M. and Benini, L., Computationally efficient target classification in multispectral image data with Deep Neural Networks.

• April 2016: Best Poster Award at the ACM/IEEE International Conference on Information Processing in Sensor Networks 2016 for his paper and poster presentation "KinetiSee-A Perpetual Wearable Camera Acquisition System with a Kinetic Harvester”.

• June 2017: Best paper award at The 7th IEEE International Workshop on Advances in Sensors and Interfaces for the paper:  Michele Magno, Michael Pritz, Philipp Mayer, Luca Benini “DeepEmote: Towards multi-layer neural networks in a low power wearable multi-sensors bracelet" presented on 15^th of June 2017.

• September 2017: Best paper award at IEEE NGCAS 2017 for the paper: Magno, Michele, et al. "Energy Efficient System for Tactile Data Decoding Using an Ultra-Low Power Parallel Platform." CAS (NGCAS), 2017 New Generation of. IEEE

• March 2018: Best Paper Award at IEEE Sensors Applications Symposium 2018 for the paper, Mayer, Philipp, Michele Magno, and Luca Benini. "Combining microbial fuel cell and ultra-low power event-driven audio detector for zero-power sensing in underwater monitoring." In Sensors Applications Symposium (SAS), 2018 IEEE, pp. 1-6. IEEE, 2018.

• April 2018: Best poster award at the 5^th  Workshop in Devices, Materials, and Structures for Energy Harvesting and Storage from the Institute of Physics (IoP)for "Toward Zero-power Smart Sensing Leveraging Micro-Energy Harvesting".

• April 2018: Best Poster Award at the ACM/IEEE International Conference on Information Processing in Sensor Networks 2018, for the paper: Strebel, Raphael, and Michele Magno. "Zero-power receiver for touch communication and touch sensing."

• July 2018: Finalist with 2 designs on 3 selected on the design contest ACM/IEEE International Symposium on Low Power Electronics and Design for “A Micro-Watt Smart Audio Detector for Zero-Power Always-On Sensing” and  “ZeroTouch: Zero-Power Smart Receiver for Touch Communication and Sensing for Internet of Thing and Wearable Applications”

• September 2018: Excellent paper award at the 20th IEEE International Conference on E-health Networking, Application & Service for the paper. Xiaying Wang, Michele Magno, Lukas Cavigelli; Mufti Mahmud; Claudia Cecchetta, Stefano Vassanelli and Luca Benini. "Rat Cortical Layers Classification extracting Evoked Local Field Potential Images"