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Antonio Forte

Dr Antonio Forte

Lecturer in Engineering

  • UKRI Future Leaders Fellow

Research interests

  • Engineering

Biography

Dr Antonio Elia Forte is currently Lecturer (equivalent of US Assistant Professor) in Engineering at King's College London (since fall 2021), where he leads the Reconfigurable and Adaptive Designs Lab (RADlab). He is also Associate in Materials Science and Mechanical Engineering at Harvard Univeristy and Visiting Researcher at Imperial College London.

Dr Forte has a cross-disciplinary background in Computational Mechanics (PhD, 2011-2015 Imperial College), Neuroscience & Signal processing (Postdoc, 2015-2018, Imperial College) and Applied Mechanics (Fellowshop, 2018-2021, Harvard University).

He is recipient of the UKRI Future Leaders Fellowship (PI),  Global Marie Sklodowska-Curie Fellowship (PI, top 1% of ~10K submitted), the EPSRC Impact Accelerator Award (PI), the MRC Impact Accelerator fund (Co-I), and the NMES Teaching Award, among other prizes and recognitions, (NMES Enterprise & Engagement fund (PI), King's Artists Residency fund (Co-I), EPSRC Institutional Sponsorship Grant (Co-I), Regione Puglia "Principi Attivi" Grant (PI), Puglia Sound Export Award, Unisalento SOLAR Fellowship, WSS Award, European Commission Seal of Excellence, etc).

Dr Forte's work has been featured on The Havard Spotlight (1, 2, 3), KCL News, various scientific outlets (4, 5, 6, 7, 8, 9, 10, to cite a few) and awarded with the covers of four of the most prestigious journals in his field (11, 12, 13, 14).

Dr Forte has expertise in computational modelling and has developed Finite Element Models for numerous applications (e.g., 15, 16, 17, 18) and contributed to the development of Reduced Order Models in various works (e.g., 19, 20). Additionally, he has experimental expertise in soft material characterisation (e.g., 21, 22, 23), the design and synthesis of novel materials (e.g., 24, 25, 26), and the development of new experimental rigs for 3D printing (e.g., 27, 28).

As his research is immediately applicable to automation, Dr Forte has been involved in the design and manufacturing of novel inflatable robotic systems (e.g., 29, 30), intelligent mechanical valves (31) and snapping origami modules (32), which are all electronic-free. Such devices hold great potential for application in non-conventional environments, such as MRI facilities and space.

Dr Forte has employed machine learning and optimisation strategies to solve shape morphing and target reaching inverse problems in nonlinear mechanical systems (15, 16, 17, 32). Additionally, he is passionate about sound and the neural mechanism behind sound perception. He developed mathematical methods to measure the neural response to continuous speech using EEG signals (33) and employed ML to classify them (34, 35, 36). The code is available for everyone to download on github and the work was featured on the BBC science podcast.

During his academic journey, Antonio has also worked as consultant for a few companies, including InBev and Embody Orthopaedic, helping them to develop new products and optimising their designs to achieve durable performances, respectively.

Together with David Melancon (Polytechnique Montreal) and Benjamin Gorissen (KU Leuven), Antonio is organiser of “Functionality Through Nonlinearity” which is the first sessions for number of submissions at the APS March Meeting (one of the most prestigious physics conferences in the world). He has also been involved in the organisation of other international workshops and conferences (e.g., ICoBT, IERASG Biennial Symposium, STLE Frontiers etc.) and collaborations between researchers and artists (including AirGiants, a UK based art collective involved with King’s thanks to the King’s Artists Residency fund).

Dr Forte is also member and collaborator of the Automorph Network: a network of physicist, artists, designers and engineers across the world, with a focus on shape morphing matter and structures. Through the network, Dr Forte organises the Creative Differences Workshop, which is part of the London Biennale. Additionally, he is an active member of the UK Metamaterials Network (UKMMN) and several scientific associations including IEEE, RAS, and APS, and member of the London Centre of Nanotechnology.

Invited talks – last three years: Newcastle University (British Applied Mathematics Colloquium, 04/24) — Oxford University (5th UK Robot Manipulation Workshop, 01/24) — Oxford University (Solid Mechanics Seminar, 11/23) — UCL (Lighten workshop, 10/23) — University of Bath (Shape Morphing Workshop, 09/23) — Somerset House (Automorph Workshop, 06/23) — University of Maryland (Tubaldi group, 01/23) — University of Bristol (Softlab Seminar, 06/22) — UCL (Lighten workshop, 05/22) — SIAMM21, 02/21 (keynote speaker) — UCL (Mech Eng Dept, 01/21) — Warwick University (Mech Eng Dept, 10/20) — MSE2020, 09/2020 (keynote speaker) — London South Bank University (Mech Eng Dept, 07/20) — EMI2020 (Columbia University, 05/20 - cancelled for COVID) — Boston University (Mech Eng Dept, 03/20) — Imperial College (BioEng. Dept, 02/20) — Boston University (Moss Series, 01/20).

Research interests

  • Neural signal processing
  • Finite Element modelling
  • Soft Matter mechanics
  • Design of tissue-mimicking polymers and hydrogels
  • Mechanical metamaterials and architected materials for robotic application

Further information

 

    Research

    kickstarter-robot-image
    Design & Mechatronics

    Fusing mechanical, electrical and control engineering.

    main-article-metamorphic-hand new 7 (final new)
    Centre for Robotics Research

    The group develops solutions to critical challenges faced in society where robot-centric approaches can improve outcomes.

    News

    Future research leaders from King's receive prestigious UKRI fellowships

    Three academics from King’s have been recognised as some of the UK's most promising researchers in science, having each been named a recipient of the coveted...

    King's UKRI Future Leader Fellowship recipients 2023

    From 2D to 3D - how to inflate shapes via machine learning

    Inverse design the material distribution in a membrane to obtain a target shape upon inflation

    Anto Forte folding image 4

    Features

    Engineering students learn mechanics, robotics, and controls by making space rovers

    Antonio Forte, Lecturer in Engineering, introduces a new Engineering module.

    DemoDay feature banner

      Research

      kickstarter-robot-image
      Design & Mechatronics

      Fusing mechanical, electrical and control engineering.

      main-article-metamorphic-hand new 7 (final new)
      Centre for Robotics Research

      The group develops solutions to critical challenges faced in society where robot-centric approaches can improve outcomes.

      News

      Future research leaders from King's receive prestigious UKRI fellowships

      Three academics from King’s have been recognised as some of the UK's most promising researchers in science, having each been named a recipient of the coveted...

      King's UKRI Future Leader Fellowship recipients 2023

      From 2D to 3D - how to inflate shapes via machine learning

      Inverse design the material distribution in a membrane to obtain a target shape upon inflation

      Anto Forte folding image 4

      Features

      Engineering students learn mechanics, robotics, and controls by making space rovers

      Antonio Forte, Lecturer in Engineering, introduces a new Engineering module.

      DemoDay feature banner