Matej Dubiš PROFESSIONAL EXPERIENCE
EDUCATION
2. - 12. 2018 Researcher @ Slovak University of Technology in Bratislava
2014 - 2018
7. - 12. 2017 Design Trends Intern @ VW Group Future Center Europe
Generative design methods in automotive design
Consulting & coordinating student projects. Completing the doctorate.
Doctoral degree in Design @ STU BA
Developing the doctoral research project. Also involved in a 3D printing project.
7. - 9. 2016 Digital Design Intern @ VW Group Future Center Europe
Independent research. Workshop for modelers. Implementing new approaches.
2016 Startup designer @ Crafting Plastics! Studio Bioplastic startup: design development, production.
7. - 9. 2013 Design Intern at R&I @ Plastic Omnium AE, Lozorno
Research, styling, modeling, illustrations - plastic automotive parts.
2. - 4. 2012 Interior design intern @ ŠKODA DESIGN
Involved in HMI, seat and other interior design projects. Working on my bachelor thesis and other individual tasks.
2012 – 2014
Master’s degree in Industrial Design @ STU BA 2. - 6. 2013
International Design Semester @ DTU Diplom, DK ERASMUS
2008 – 2012
6. - 8. 2011 Product Design Intern @ PER Design Beijing
Bachelor’s degree in Industrial Design @ STU BA
2011 - now Software teacher (part-time) @ AcademyX
2000 – 2008
Working on a number of projects in a competitive team of 5 designers.
Cinema 4D, Rhino, Grasshopper for individual and commercial clients.
Gymnasium Párovská st. 1, Nitra
LANGUAGES Slovak - mother tongue English – professional working proficiency German – elementary proficiency Spanish – elementary proficiency
00421 903 419 443 m.v.dubis@gmail.com Nationality: Slovak Birthday: June 8th 1990 Birthplace: Bratislava, Slovakia
SOFTWARE SKILLS 3D Grasshopper McNeel Rhino Maxon Cinema 4D 2D Adobe Photoshop Adobe InDesign Adobe Illustrator CODE Processing (basics) Python (basics)
I love exploring new worlds of creativity.
PARAMETRIC GRIDS
consistent variability
adaptable branching
simple complexity
GENERATIVE DESIGN
doctoral research, 2014 - 2018 supervisor: prof. Peter Paliatka
GENERATIVE DESIGN PARAMETRIC COMPLEXITY
adidas FUTURECRAFT
CUSTOMIZATION
NORMAL earbuds
OPTIMIZATION
ARUP 3D printed steel node
APPLICATIO NS IN AUTOMOTIV E DESIGN Generative & parametric design can contribute immensely to car design in various functional and aesthetic ways. Currently, very few examples go deeper than the trendy surface - level parametric patterns.
I set out to explore the deeper potential - the hard, the strange, the real.
Renault Twin’Z
Peugeot Fractal
BUGATTI 3D printed brake caliper
Toyota Concept-i
BMW Vision NEXT 100
EDAG Genesis
A ERODYNAMICS AS A CREATIVE TOOL these forms were generated using vector fields that approximate airflow this way I was able to create both recognizably aerodynamic forms and surprising details that emerge from more turbulent flows
from aero analysis towards aero creativity
GENERATIVE DESIGN RESEARCH
A FAMILY OF WHEEL DESIGNS a number of design variations with common algorithmic DNA dynamic vector fields were utilized to create these 3D sketches, one was then selected and developed further in the future systems like this will lead to thorough mass style personalization
GENERATIVE DESIGN RESEARCH
GENERATED TROPHY CONCEPT generated based on the race data unique for each track unique for each race unique for each racer designed to be 3D printed in real time during the race
in my proof-of-concept process, I first simulated a race in Grasshopper using swarm behaviour these simulated races were recorded, and based on this data these geometries were generated
FORM READING time flows this way straight line at the top = winner’s trophy each line is a racer crossing lines = overtaking
each horizontal section is a shape of a piece of the race track
GENERATIVE DESIGN RESEARCH
3D PRINTED STEERING WHEEL
LIGHTWEIGHT, UNIQUE, MASS CUSTOMIZABLE
final doctoral project, 2017 - 2018
supported by VW Group Future Center Europe, Potsdam
3D PRINTED STEERING WHEEL Digital fabrication
Products of generative design are often best realized with digital fabrication technology, and, vice versa, the possibilities of these technologies can arguably be fully utilized only using
generative design. Together with VW FCE we aimed to explore the synergy of these two worlds.
Augmented creativity
Both humans and computers can do things the other simply
can’t. This project combined human and computational
creative possibilities to extract the best out of each of them. The goal was to demonstrate their different possibilities in multiple phases of the design process.
Digital biomimetics
Computer algorithms can now mimic natural processes like
growth or evolution. Computational designers around the world are now intensely researching various ways how to use
these in their creative processes. While working on this project, I frequently looked to the nature for inspiration.
3D PRINTED STEERING WHEEL
3D PRINTED STEERING WHEEL
GENERATIVE FORM-FINDING Generative design and 3D printing complement each other
extremely well in the area of computational optimization. Algorithms can provide optimal solutions to certain complex problems, and the outputs are often impossible to produce using traditional technology.
Topology optimization (TO) enables optimal use of material by iteratively simulating the effect of a set of loads on a given input geometry. It is mostly being used in the early stages of the engineering process for a given construction part.
Apart from obvious utility of TO, like superior performance
and waste reduction, I was excited by the aesthetic potential
vof these computer-generated forms, and explored ways in which TO could be implemented in the design process.
I used Millipede, a Grasshopper add-on made by Sawapan, to
optimize a steering wheel construction. Next, I’ve developed 3 different construction concepts that directly utilize the TO
output data. The results were 3D printed in VW FCE in Potsdam.
TO input
TO output
3D PRINTED STEERING WHEEL
CUSTOM STRESS LINES I let the algorithm draw lines by following the principal stress vectors found in the TO data. To control the results, I’ve built a specialized swarm behaviour system.
This approach directly visualizes the flow of forces inside the digital model.
The result proved to be full of dynamic formal inspiration, but (in this form) unusable as an actual construction.
3D PRINTED STEERING WHEEL
AESTHETICS OF FLOWING FORCES Generative designs are not arbitrary, like what humans often create. In their honesty they are closer to natural creations.
They inform you about the process behind them. They are readable. Still, they often rouse unique emotions.
3D PRINTED STEERING WHEEL
PARAMETRIC HONEYCOMB To create a more reliable construction, I turned to a well-known and established honeycomb structure.
Through parameterization, it became locally adjustable according to the TO data. Orienting the hexagonal cells makes the structure strongest in the direction of the predicted stress.
3D PRINTED STEERING WHEEL
DESIGNING FOR HONEYCOMBS I aimed to utilize the bio-technical look of the honeycomb, to let it shine through. In the final design, it was complemented with a sleek semi-transparent cover and a parametric haptic surface.
3D PRINTED STEERING WHEEL
ADAPTABLE DELAUNAY 3D Delaunay lattice allows for significant adaptability in terms
of overal shape, structure density and beam thickness. The
beams are strongest in the locations and directions of highest concentration of stress, based on the TO data.
This construction principle was also used to connect the core
construction to the outer surfaces of the steering wheel (see photo).
3D PRINTED STEERING WHEEL
GENERATIVE ERGONOMICS This construction was built the last. It was the lightest one, as well as the most versatile and ergonomic one. Simple, fluent surfaces were designed to support and complement the complex internal structure.
To explore the possibilities in the area of ergonomics, I simulated the reach of my hand on the modeled surface. The resulting
heatmap shows where my thumb would reach comfortably in various hand positions. A similar process could be used to mass personalize the steering wheel based on the customer’s data or hand scan.
3D PRINTED STEERING WHEEL
CURVATURE-BASED SUPPORT STRUCTURE Instead of manually modeling the reinforcement, I created an algorithm to generate an adaptive Voronoi structure supporting the surface.
Density of this structure is derived from local Gauss curvature of the surface. Suitable cells are then chosen to connect the outer surface to the inner construction.
This solution can re-adjust itself whenever are the connected elements changed: either re-designed or re-generated.
3D PRINTED STEERING WHEEL
Å KODA FOR LONDON
master thesis, 2014
supervisor: Peter Olah
LIFESTYLE
AESTHETICS
HARMONY OF CONTRASTS
IDENTITY
MOBILITY SYSTEM FOR LONDON’S PUBLIC SPACES
an autonomous cab for public use even when not driving
ŠKODA FOR LONDON, 2014
FORM LANGUAGE DEFINED IN A SCULPTURE layers of rough shale + precisely sculpted surface
harmony of contrasts
Å KODA design language
Å KODA FOR LONDON, 2014
PUBLIC FUNCTIONALITY
while charging at places like parks or pedestrian zones, the cab can be used as street furniture or infopoint
Ĺ KODA FOR LONDON, 2014
EXTERIOR DESI GN DEVELOPMENT
Å KODA FOR LONDON, 2014
Å KODA FOR LONDON, 2014
FINAL DESIGN
PUBLIC SPACE MODE tough textile cover prevents interior access rubber exterior panels provide public seating door panels become information touchscreens
rubber panels fold to allow interior access
Å KODA FOR LONDON, 2014
Å KODA FOR LONDON, 2014
ELECTRIFYING Å KODA
bachelor thesis, 2012
supervisor: Peter Olah
in search of a design language for electric mobility teamwork concept development, exterior design
Å KODA KITE, 2012
boot opening uses flexible textile and a folding frame powertrain and construction were developed by engineering students in our team
1:4 scale model
Å KODA KITE, 2012
www.instagram.com/matejdubis m.v.dubis@gmail.com