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{{Infobox person

| name = Bruno Zamborlin

| image = BrunozamborlinPhotograph.jpg

| alt = Bruno Zamborlin in 2018

| caption =

| birth_name =

| birth_date = {{birth year and age|1983|08}}

| birth_place = [[Vicenza]], [[Italy]]

| alma_mater = [[Goldsmiths,_University_of_London|Goldsmiths, University of London]]<br>

| other_names =

| occupation = Chief Executive Officer <br> Entrepreneur <br> Artist

| known_for = [https://www.mogees.co.uk/ Mogees], [https://www.hypersurfaces.com/ HyperSurfaces]

}}

'''Bruno Zamborlin''', PhD (born 1983 in [[Vicenza]]) is an Italian [[AI]] [[researcher]] and [[entrepreneur]] based in [[London]], [[UK]].<br />

He is considered a pioneer in the field of converting physical objects into touch-sensitive, interactive surfaces using vibration sensors and [[Artificial Intelligence]].

<ref name="C74">[https://cycling74.com/articles/an-interview-with-bruno-zamborlin An Interview with Bruno Zamborlin] (23 June 2014)</ref>

<ref name="uniteai">[https://www.unite.ai/bruno-zamborlin-ceo-and-chief-scientist-at-hypersurfaces-interview-series/ Bruno Zamborlin, CEO and Chief Scientist at Hypersurfaces], Unite.ai, December 2020</ref>

<ref name="coruzant">[https://coruzant.com/feature/bruno-zamborlin-phd/ Bruno Zamborlin, PhD Feature], Coruzant Technologies, July 2020</ref>

In 2013 he founded [https://www.mogees.co.uk/ Mogees Limited], the London-Los Angeles based start-up whose products enable users to transform everyday objects into musical instruments and games using a vibration sensor and a mobile phone (100,000 units sold worldwide).<br />

In 2017 he founded [https://www.hypersurfaces.com/ HyperSurfaces], a technology platform which converts physical surfaces of any material, shape and form into data-enabled, interactive surfaces using a vibration sensor and a coin-sized chipset.<br />

As an artist, he produces art installations around the world and performs with UK-based electronic music duo [[Plaid_(band)|Plaid]] ([[Warp_(record_label)|Warp records]]).

== Early life & education ==

Zamborlin was born in Vicenza, Italy.

After attending a degree in Mathematics between [[University of Padua]] (IT) and [http://liacs.leidenuniv.nl/ Liacs] (Leiden Institute of Advanced Computer Science, NL), he enrolled in a master degree in Computer Science in [[University of Bologna]] (IT) which he has been awarded with summa cum laude.

In 2008 Zamborlin moved to [[Paris]], where he lived for 3 years. During this time he has been working at the [[IRCAM]] (Institute for Research and Coordination Acoustic Musical) – [[Centre Pompidou]] as a member of the [http://ismm.ircam.fr/people/ Sound Music Movement Interaction] team.

Under the supervision of [https://www.ircam.fr/person/frederic-bevilacqua/ Frederic Bevilacqua], he started experimenting with the use of [[Artificial Intelligence]] and human movements. He contributed to the creation of [http://ismm.ircam.fr/gesture-follower/ Gesture Follower], a software used to analyse body movements of performers and dancers through [[Motion_detection|motion sensors]] in order to control sound and visual media in [[real-time]]. Different human gestures could trigger different media as well as slowing and speeding up their reproduction based on the way such gestures are performed.

In 2011 Zamborlin relocated to London, where in 2013 he was granted a joint [[Doctor_of_Philosophy|PhD]] between [[Goldsmiths,_University_of_London|Goldsmiths, University of London]] and [[IRCAM|IRCAM - Centre Pompidou]]/[[Pierre_and_Marie_Curie_University|Pierre and Marie Curie University, Paris 6]] in AI with the title [https://edb.upmc.fr/projet-recherche-doctoraux/afficher/4184 'Designing for Appropriation of Digital Music Technology']. The PhD focuses on the concept of Interactive Machine Learning

<ref name="iml"> [https://link.springer.com/article/10.1007/s10489-018-1361-5 Interactive machine learning: experimental evidence for the human in the algorithmic loop]. Holzinger, A., Plass, M., Kickmeier-Rust, M. et al. Interactive machine learning: experimental evidence for the human in the algorithmic loop. Appl Intell 49, 2401–2414 (2019)</ref>

applied to digital musical instruments and performing arts.

The jury panel included [[Reactable]]'s inventor [[Sergi_Jorda|Sergi Jorda]].

==Business career==

Zamborlin founded Mogees Limited in 2013 in [[London]], with [[IRCAM]] amongst the early investors in the company.

Mogees is a product that enables users to transform physical objects into musical instruments and games using a [[Piezoelectric_sensor|vibration sensor]] and a series of apps for [[smartphones]] and [[Desktop_computer|desktop]].

<ref name="sos">[https://www.soundonsound.com/reviews/mogees Mogees: Resynthesis App & Sensor For iOS & Mac], Sound on Sound, March 2016 </ref>

<ref name="wired_mogees">[https://www.wired.com/2012/01/mogees/ Mogees Project Turns Any Surface Into a Gestural Musical Interface], Wired.com, April 2012 </ref>

<ref name="tc_mogees">[https://techcrunch.com/2017/05/25/mogees-seed/ Mogees picks up seed funding to put audio-based gesture recognition tech into new devices], Techcrunch, May 2017 </ref>

<ref name="lesechos">[https://www.lesechos.fr/2016/08/mogees-ou-la-realite-virtuelle-sonore-pour-tous-215245 Mogees, ou la réalité virtuelle sonore pour tous], Les Echos, August 2016 </ref>

<ref name="startupitalia">[https://startupitalia.eu/146989-20140930-mogees-italians-startup-making-whole-world-play-music-trees-djs Mogees: an Italian’s startup that is making the whole world play music (from trees to DJ’s)], StartupItalia, September 2014 </ref>

After a successful [[crowdfunding]] campaign on [[Kickstarter]] in 2014

<ref name="fact">[https://www.factmag.com/2014/03/05/mogees-kickstarter-success-for-gadget-that-turns-everyday-objects-into-instruments/ Kickstarter success for gadget that turns everyday objects into instruments], Fact Magazine, March 2014.</ref>, Mogees reportedly sold 100,000 units and has been used by artists such as

[[Rodrigo_y_Gabriela|Rodrigo y Gabriela]]

<ref name="ryg">[http://www.rodgab.com/rod-gab-mogees/ Rod, Gab & Mogees], March 2014</ref>,

[[Jean-Michel_Jarre|Jean Michel Jarre]]

<ref name="jmj">[http://vientdemee.blogspot.com/2014/06/bruno-zamborlin-mogees.html Bruno Zamborlin and Mogees on Jean Michel Jarre website], June 2014</ref>

and [[Plaid]]

<ref name="elex">[https://www.youtube.com/watch?v=GPMqAEIBfJM&t=2s&ab_channel=brunozamborlin Plaid and Bruno Zamborlin, ELEX music video]</ref>.

In 2017 Zamborlin founded HyperSurfaces together with [[Computer_art|computational artist]] [https://scholar.google.com/citations?user=OwW_posAAAAJ&hl=en Parag K Mital]

<ref name="pkm">[http://pkmital.com/home/ Parag K Mital's website]</ref>.

HyperSurfaces is a technology that converts any surface made of any material, shape and size into data-enabled interactive objects, employing a vibration sensor and proprietary [[AI]] algorithms running on a coin-sized [[chipset]]

<ref name="tc_hs">[https://techcrunch.com/2018/11/20/hypersurfaces/ HyperSurfaces turns any surface into a user interface using vibration sensors and AI], Techcrunch, November 2018</ref>.

The vibrations generated by people's interactions on the surface are converted into an electric signal by a [[Piezoelectric_sensor|piezoelectric sensor]] and analysed in [[realtime]] by the AI algorithms that run on the chipset.

Anytime the AI recognises in the vibration signal one of the events that have been predefined by the user beforehand, a corresponding notification message is sent in realtime.

The technology can be applied to multiple industry sectors, ranging from button-less [[Human–computer_interaction|human-computer interaction]] applications for automotive and [[Home_automation|smart home]] to the [[Internet_of_things|Internet of Things]]

<ref name="newatlas">[https://newatlas.com/hypersurfaces-ai-vibration-sensor-interface/57316/ HyperSurfaces uses AI to make object interfacing more natural], NewsAtlas, November 2018.</ref>

<ref name="tcn_hs">[https://www.techcompanynews.com/hypersurfaces-seamlessly-merging-the-physical-and-data-worlds/ HyperSurfaces – Seamlessly Merging The Physical And Data Worlds], TechCompanyNews, November 2018</ref>.

Because the AI algorithms employed by HyperSurfaces run locally on a chipset, without the need to access cloud-based services, they are considered to be part of the field of [[Edge_computing|edge AI]].

Also, because the AI can be trained beforehand to recognise the events its users are interested in, HyperSurfaces algorithms belong to the field of [[Supervised_learning|supervised machine learning]].

==Art installations==

==Selected talks==

* [https://www.ted.com/talks/bruno_zamborlin_how_vibration_can_turn_any_object_into_data_enabled_interface How vibration can turn any object into a data enabled interface], TEDx San Francisco, 3 October 2019

* [https://www.youtube.com/watch?v=RGbyFxw3-pY&ab_channel=TEDxTalks Transforming everyday objects into musical instruments], TEDx Brussels, 14 November 2012

* [https://www.youtube.com/watch?v=DSDsKn-7jRQ&ab_channel=TEDxTalks The Joy of Creating Music with Augmented Reality], TEDx Milan, 3 November 2017 (Italian language)

* [https://www.youtube.com/watch?v=iIUU_V8bL1s&t=119s&ab_channel=SennheiserMOMENTUM Testimonial for Sennheiser's 'Catch the Momentum' campaign]

* [https://www.youtube.com/watch?v=ysBt--l4Gxw&feature=youtu.be&ab_channel=brunozamborlin Bruno Zamborlin talks about Mogees and Plaid on Wired UK]

==Selected awards==

* [http://jsm2012.irisa.fr/toppage.php?page=prixjc IRISA Prix Jeune Chercheur], 13 October 2012

* [http://www.nemode.ac.uk/?page_id=814 NeMoDe, New Economic Models in the Digital Economy], 25 October 2012

==Selected publications==

* [https://patents.google.com/patent/US10817798B2/en Method to recognize a gesture and corresponding device] TODO

* [https://link.springer.com/chapter/10.1007/978-3-642-12553-9_7 Continuous Realtime Gesture Following and Recognition]. Part of the [https://link.springer.com/bookseries/558 Lecture Notes in Computer Science] book series (LNCS, volume 5934), 2010.

* [https://dl.acm.org/doi/abs/10.1145/1935701.1935704 Modular musical objects towards embodied control of digital music]. TEI '11: Proceedings of the fifth international conference on [https://dl.acm.org/doi/proceedings/10.1145/1935701 Tangible, embedded, and embodied interaction], January 2010 Pages 9–12

* [https://link.springer.com/chapter/10.1007/978-3-642-22291-7_8 Online Gesture Analysis and Control of Audio Processing]. Part of the [https://link.springer.com/bookseries/5208 Springer Tracts in Advanced Robotics] book series (STAR, volume 74), 2011.

* [https://dl.acm.org/doi/abs/10.1145/2543921 Fluid gesture interaction design: Applications of continuous recognition for the design of modern gestural interfaces], 2014. ACM Transactions on Interactive Intelligent SystemsJanuary 2014 Article No.: 22

* [https://www.researchgate.net/publication/261215607_Grainstick_A_Collaborative_Interactive_Sound_Installation Grainstick: A Collaborative, Interactive Sound Installation]. Proceedings of the International Computer Music Conference (ICMC), 2010

* [https://hal.archives-ouvertes.fr/hal-01161009/ Extracting Human Expression For Interactive Composition with the Augmented Violin], International Conference on New Interfaces for Musical Expression (NIME), 2012

* [https://ieeexplore.ieee.org/abstract/document/4784966 On SPAWC: Discussion on a Musical Signal Parser and Well-Formed Composer], 6th IEEE Consumer Communications and Networking Conference, 2009, Las Vegas, NV, USA.

* [https://hal.archives-ouvertes.fr/hal-01161298/document (LAND)MOVES]. Conference on New Interfaces for Musical Expression, NIME, May 2011, Oslo, Norway. pp.537-538

References: {{reflist}}