Merck Research "Future of AI Challenge" (August 2019)

1st Place at Merck Future of AI Research Challenge. Media coverage: https://app.ekipa.de/challenge/future-of-ai/about Merck Research Challenge aimed to generate insights from various disciplines that can lead to progress towards an understanding of invariant representation - that are novel and not based on Deep Learning. IRENA offers a computational layer for extracting sensory relations for rich visual scenes, withy learning, inference, de-noising and sensor fusion capabilities. The system is also capable, through its underlying unsupervised learning capabilities, to embed semantics and perform scene understanding.

University of Cambridge Hackathon - Hack Cambridge (January 2017)

Microsoft Faculty Connection coverage (http://goo.gl/uPWGna) for project demo at Hack Cambridge 2017, 28 – 29 January 2017, University of Cambridge with a Real-time Event-based Vision Monitoring and Notification System for Seniors and Elderly using Neural Networks. In this project we propose the use of a novel embedded Dynamic Vision Sensor (eDVS) for the task of classifying falls. Opposite from standard cameras which provide a time sequenced stream of frames, the eDVS provides only relative changes in a scene, given by individual events at the pixel level. The changes in position of the stimuli will encode the possible positions corresponding to falls or normal motion. We used Microsoft Azure ML Studio to implement the neural classifier.

ANDRITZ Pioneers Hackathon (January 2017)

Best innovation idea at the ANDRITZ Pioneers Hackaton innovating for the international technology group ANDRITZ. Developed an artificial neural learning agent for automation process productivity enhancement.

Wellcome Trust Hack The Senses Hackathon (June 2016)

Hearing motion synesthesia at Hack the Senses Hackaton, Fablab London, 2016. Using spiking event-based cameras to capture motion and generate audio information for triggering synesthesia in blind. WIRED UK coverage ( http://goo.gl/5yQ1Fn)

Daimler FinTech Hackathon (April 2016)

Awarded 1st prize (team) at the Daimler Financial Services Big Data Analytics Hackaton for the design of a neuro-fuzzy learning system for anomaly detection and user interaction in big data streams.

Burda Hackdays (April 2016)

Awarded special Microsoft Cognitive Technologies prize at the Burda Hackdays for the design of a neural learning system for inferring role assignments in working teams using psychometric data analytics.

Automotive Hackdays (March 2016)

Awarded 1st prize (team) in the BMW Automotive Hackdays for the design of an inference system for driving profile learning and recommendation for skills improvement and predictive maintenance in car-sharing.