Sanghyun Suh - Portfolio

SANGHYUN SUH P O R T F O L I O 2 0 20 - 2 0 2 1 ARCHITECTURE DESIGN / ARCHITECTURAL TECHNOLOGY

SCI_Arc EDGE Architectural Technology

Colors of Downtown Los Angeles

SANGHYUN SUH

Education 2015 - 2017 M.Eng

The Ohio State University

2018 - 2020 M.Arch

The Ohio State University

Masters of Architecture, MS Architectural Technology, M.Eng Welding Engineering, BS Materials science

2020 - 2021 M.Sci Southern California Institute of Architecture EDGE Architectural Technology

Experience SP2021 - Current Lifeforms

Damjan Jovanovich

FA2020 - SP2021

Kinch

M.Casey Rehm

Research Assistant: AI Sandbox funded by EPIC games

Research Assistant: AI and ADU funded by Google AMI

SP2021 - SU2021

Southern California Institute of Architecture Teaching Assistant: AI + ADU taught with Mimi Zeigar and M.Casey Rehm

SP2018 - SP2019

Knowlton School of Architecture Teaching Assistant: Structure, Construction SU2019 - SP2020

Banvard Gallery Gallery Assistant: hosted exhibition for NEME studio, Tatiana Bilbao, Team B, MR studio, and Stephen Turk

Exhibition / Featured In FA2018

Mapping Worlds mapping the worlds with fragmented hexagons through CNC machine

FA2019

AIA Columbus Project of Year - Student Part Columbus OH

FA2019

One:Twelve Graduate Editor - Student Publication Columbus OH

FA2019

A Conversation about Obsession - Curtis Roth + Sanghyun Suh Redrawing Tempietto - Sandhya Kochar + Sanghyun Suh One:Twelve Issue 14, Columbus OH

SCI_Arc EDGE Architectural Technology

Sanghyun Suh is an Architectural Designer who focuses on platform design, AI Assembly, and a researcher invested in machine aesthetics and the new forms arose from considering a spatial design for machines as agents that are integrated into human culture and living conditions rather than an attachement to humanity.

Prior to joining SCI_Arc, he studied Materials Science and Welding Engineering before coming to the field of architecture. And he received M.Arch at the Ohio State University; Knowlton School of Architecture.

In addition to architectural backgrounds, he also holds Masters of Engineering, and Bachelor of Science in Materials Science where he studied the essence of materials in micro and messo scale through lenses of microscope. He worked at Banvard Gallery for invited architectural exhibitions with Sandhya Kochar - teams who exhibited are NEME studio, Tatiana Bilbao, Team B, MR studio, and Stephen Turk.

Now at SCI_Arc EDGE program as post graduate student, he is investigating his interest in the form of synthesis of architecture and AIdriven design through multiple projects focused on machine aesthetics and utilization of machine vision as a tool and inspiration of design.

Aside from personal projects, he is currently invovled in the research project for Google R&D for the built environment investigating the possible solutions for ADU through AI utilization based on public datasets with M. Casey Rehm of Kinch. And developing an architectural design platform with EPIC games with Damjan Jovanovic of Lifeforms.

Contact: suh.sanghyun.at@gmail.com

Sanghyun Suh

TypologyOfFulfilment.net/Top_1

Typology of Fulfilment Studio Instructor: M. Casey Rehm Advisors: Soomeen Hahm Project Year: Summer 2021

The big part of the public’s unawareness of the political problems of logistics is because of its lack of access from the human environment. Human exclusion of the machinic landscape is partly the issue. The comfort of Amazon is tempting and persuasive but the result of the comfort is completely dislocated from the site where the comfort is produced. There are many checkpoints for your fulfilment to happen. From sourcing product to warehouse, and to distribution center, then to parcel ser vice, there are many steps. And Amazon is in the process of vertically integrating the whole procedure. But what if we can build a communit y where it provides the ser vices of parcel ser vice and the distribution center in your residentials so that it would be an obstruction to the stack of the system? The integration of the destination of the package with parcel ser vice and the distribution center can reduce the number of checkpoints for the fulfillment . As the electricity had to be integrated to the system of building, fulfillment is now integrated to the building, to our living.

The communally owned complex is a new typology in the attempt to be an obstruction to the amazon’s feudalism using cr yptocurrency and block chain as means of new ways of community formation and shared ownership, and to install the fulfilment , the new utility, in the architecture through providing hybrid living condition of human beings and machines in the hope that the idea of this new typology can be a platform of reforging the capitalist state into something new, a step for ward.

TypologyOfFulfilment.net/Axon_1

Top TopDown View of the design - Site is in East Los Angeles Between 2 commercial Railroads, and 2 interstates Bottom Axon view of the design SCI_Arc EDGE Sanghyun Suh

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Human&MachineAgentSpace_1

Human agent space

Other than the main circulation pink tile area is where human agents reside. They are surrounded by QR code wall where it indicates the address of the unit. In the meanwhile the intricate shape of the QR code wall is acting as a “fence” for the robot for the most of the time, where this can be valuable for someone who values the privacy.

Various Kinds of Agents and Different Mobility types

There are 5 agents in the complex in addition to human agents, and there are three categories: Domestic, Non-domestic, Inter-complex. Domestic agents are tagged to a specific unit and have specific working parameters. Non-domestic agents are free to roam around the complex with no limit in the working parameter. Inter-complex agents work to deliver goods from outside or deliver goods from one complex to another complex.

Human&MachineAgentSpace_2

Machine Agent Space

Fuctionalism within Facade and Tile design

As they were described above they have different types of mobilities and sensing methods so that specific parts of the complex are designed to accommodate these various types of agents. For instance, object detection works well with contrast in background and foreground in color and it works the best with a clear line of sight. And Lidar scan works the best in high opacity material with bright color. These considerations are applied to the complex design. On the other hand, for the needed privacy of human agents, these findings could be used in the opposite way. For example, deployment of a translucent panel with dark color could block the machine’s gaze into the human agent’s residential area if desirable.

SCI_Arc EDGE Sanghyun Suh

Machine agents can move under the floor within the structure grid and come out to the floor through the elevator spread out to the floor, so that they can make the fulfillment more instant. Main vertical circulation area is colored with bright yellow to act as “green screen” to avoid any collision between agents.

QRCodeWall_ServiceCorridor

QR Code Corridor

This is a special circulation that exist within the QR wall.

Through this corridor, machine agents are moving along and checking for any “fulfillment needs” of human agents Beyond this point Human agents are subjected for object detection, and data harvesting

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ProgramDiagram

TypologyOfFulfilment_Plan

TypologyOfFulfilmentAxon_1

Program Diagram / Assembly

These ideas combined, 3 different scales of modules were designed one is for residential second is for circulation and third is for distribution center. The modular design was for the ease of automation in the process of design and construction.

Public Space Design

After the massing was placed the space inbetween the massing was filled with public space that activates the space above the railyard for fulfilment. This space not only connecting units between

Top Example of Assembly - Plan Bottom Axon view of the design SCI_Arc EDGE Sanghyun Suh

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TopDown view showing site design; site is located at East Los Angeles that is between 2 commercial railroad and 2 interstates.

MachineContextualism.net/t-sne_FeatureMatching_3 MachineContextualism.net/t-sne_ImageAssembly_1

Machine Contextualism

MachineContextualism.net/t-sne_ImageAssembly_1

Studio Instructor: M. Casey Rehm Advisors: Damjan Jovanovic, Soomeen Hahm Project Year: Autumn 2020

How do machines see differently from us? Project start with this question. For us, 'context' means something more than just an array of information. Often, there is a certain hierarchy between one urban object to another, and certain characteristic and phenomenon are priotized to make us feel certain way. For machines, would it differ?

Will machines be capable of catching the 'feel' of the context? Can machine renders the essence of the human culture through its circuit board? Through the machine's sensors, the project attempts to create a new approach to the context we know of. It is an aesthetical exploration and an attempt on hybridization of human senses and machine senses. Through this project Machines will attempt to re-assemble, transform the context through Images. The site is situated in downtown Los Angeles currently empty parking lots between Hill street and Broad street . The site provides contexts of various typologies, construction t ype, aesthetics, and so on. Then the machine will look into the contextual information of the site to generate compositional ideas based on features and colors of the contextual information collected around the site. Through rigorous process of dismantling, reassembly, transformation it makes something odd, yet recognizable figures. This is the context of Los Angeles that machine interpreted. The machine does not priotize the buildings that are historically or publically more important the human meaning of Far from an hiearchical thinking of human yet relatable to human context .

MachineContextualism.net/MC_Elevation_West

Top 3D point clouds assembly based on feature mathing algorithm Middle Image Assembly of Los Angeles using t-SNE Bottom West Elevation of building assembly

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From Context

Color Matching

From collection of images of facades of downtown LA, the machine is trying to understand the correlation between one to another based on its feature and colors.

Although what context means to machine might differ from how human think about the context of downtown LA

From data sets machine extracted essential colors of the LA and created a color based compostion and rearranged urban facade elements into enticing compositions

Transformed

Feature Matching

Based on the collected images, the machine treats the image information into data sets so that it can redefine the relationships between one urban element to another.

Then it reassembles the elements into many composition and suggests as a potential

Based on features that each facade element has, machine suggests myriad of facade compositions.

The benefits of doing so is grouping similar construction type, material types to encourage diversity to the facade design

Machine Contextualism Through the rigorous process of interpretation and transformation the new look of an urban object was defined as a collaboration between the human designer and the machinie. The benefit of machine agent in design is endless amount of compositio suggestion. and introduction of new aesthetics SCI_Arc EDGE Sanghyun Suh

Image Assembly From color matching, feature matching, facade elements that were not categorized became correlated to each other tightly based on machine logics through algorithm

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Deformation of Context

Architecture & 5G Connectivity

Machine understands information in coordinates, as an array of information. Thus the process of elevating an dimension from 2D to 3D, Voxels are used and that generated aesthetical deformation to orignal images of the context that abstracts the information in some sense as well

To elevate the visibility and connectivity between machine and human in the interior space.

To do so, simulation of 5G wave propagation was performed to gauge the different level of connectivity based on different spatial conditions.

Fillet, Courtyard, Cutout performed better than others

Assembly To realize the image information to 3D information, certain features are detected through algorithm to sense the depth and create the geomtry. and from that process, new types of surface articulation was established that is related to the imagery context but different in details. And when they are re-assembled as a facade compostiion, the voxel aesthetics, and the seemingly idiosyncratic surface articulation are contributing to suggest new form and new understanding of facade construction. What's seemingly a window is no longer a window, what's seemingly a opaque surface is no longer a opaque surface. This discrepency introduces illegibility of a familiar figures that de-establish the aesthetical regime based on human senses SCI_Arc EDGE Sanghyun Suh

Impact of 5G Connection With the 5G connectivity research, the interior was set in two different conditions. Private and Public.

In public setting, you get more exposures to more wireless connected interactions whereas in private condition you are staying in the wired connection that is private.

INTERIOR CONDITION 5G CONNECTIVITY VISUALIZED AS TILES

Condition of Living For the interior, the tile work represents 5G connectivity. Private space is protected with fillets and divided by walls and free of 5G connectivity. What it means is you are free of surveilance as well.

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MachineContextualism.net/Axon_East

MachineContextualism.net/Axon_West_whole

Axon view of West view of the building assembly

East Facade Assembled through image elements from the East of Broadway in DTLA MachineContextualism.net/Axon_West

The project was an experiment on how machine can automatically generate architecture from the surrounding context. Through machine's sensor, the context of Downtown LA is reorganized. The machine is insensible to the historical context, and other cultural cannotation that is often quite important to human being. For example, when humans talk about downtown LA, there are certain buildings that are more priotized than others. Especially in the discipline architecture, there are some buildings that are more valued than others. On the ohter hand, machine is suggesting new hiearchy where context is reorganized by their similarity in the features like Color, Shape, and other specific datas rather than abstract. However, in the end, the assembly made by the machine has the "feel" of downtown LA. From the collection of images of downtown LA, the machine extract the essence of what makes the building look LA. From looking at the phenomenon of the urban condition, machine created something that is sensible to human, something contextual to human. Even though it is a bit distanced from the contextualism as we know. It still catched the little somthing in it. It created alternative condition of assemblage with new hiearchy.

Interestingly, when machine made 3D geometries from the 2D images, it was mostly indifferent to the semiotic indication like windows and columns strictly. From such trend in depth analysis, it might suggest that what's seemingly window and columns do not have to stay as its semiotic function. There could be separation of the phenomenological elements and the literal elements.

This is made possible already by the digital texture map before this research; however, the large scale assembly and the experiments on 2D to 3D made it more apparent that the potential of the sepration of phenomenological and essential element for the reading of architecture. This of course contributes to the illegibility of the architecture where it could be problematic for human agents in the scene but it is also an intriguing opportunity for the visual experimentation, and new aesthetics in architecture.

West Facade Assembled through image elements from the West of Broadway in DTLA

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SURFACE ARTICULATION

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HybridLiving_AssemblyGame MachineContextualism.net/t-sne_ImageAssembly_1

Hybrid Living Condition

HybridLiving_SiteMaking MachineContextualism.net/t-sne_ImageAssembly_1

Studio Instructor: M. Casey Rehm Advisors: Damjan Jovanovic, Soomeen Hahm Project Year: Autumn 2020

In the middle of the Mohave dessert, there is a huge open land.

The project's goal is to build a hybrid typology where distribution center and high densit y residentials. This site is filled with various agents including human agents and different kinds of robot agents that's helping the automated logistic system. This hybrid t ypology provides new condition of living where machine and human co- exist and co-dependent to each other so that it creates an environment that is no longer strictly hierarchical where one belong to another. The t ypological condition of this project suggest speculative future that architecture is no longer designed specifically for human and human culture.

SCI_Arc EDGE Sanghyun Suh

HybridLiving_Top1

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Programs for Hybrid Living

Agents in the Site

The residential units are not only design for human occupation, but also it was designed with the consideration of machine agents' occupation and circulation. Columns are no longer just a column for structural support for human occupation but a circulation path for machine agents. And other interstitial space that is usually opaque and structural becomes

Varied Accessibilities based on Agent's Scale Based on the agent's size and type of mobility, accessibility of one would differ by design. For instance smaller agents can move through the walls and move freely from floor to floor, and from room to room, But for larger scale agents your accessibility is limited.

Subscription Service for Your Privacy Privacy is a new currency.

Based on your desired privacy level your personal information is exposed or blocked for the active data harvest on site by machine agents. You are exchanging your privacy for living assistance and discounted rent.

Top Plan drawing and programic division of a floor Middle Various levels of accessibility based on agent's scale Bottom Condition of Living for Human agents SCI_Arc EDGE Sanghyun Suh

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Given Site: Dessert In the middle of Mohave Dessert the Site was chosen, so the several satelite images of the surroundin of the site were collected to create a dataset for the

CygleGan Site Transformation

Inserted Program: Distribution Center Distribution Center typology was selected to occupy the site for it to be used in a profitable way and to introduce good amount of transient agents

Using Collected datasets from Dessert, Distribution Center, and SolarCity, CygleGan generated hybrid of two typologies on top of the dessert creating intertwined conditions of two typology following the imaginal topological condition and other characteristics that could be found in the drone survey image of the site

Inserted Program: SolarCity A part of city that utilizes solar panels heavily on their roofs with big massing strategy was selected to compensate for machine agents electric consumption.

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Canopy Structure for Shading The site is located in the middle of dessert; to provide thermal comfort and generate electricity for machine agents, there is extensive use of canopy structures with solar panel

Top Elevation Middle Axon Bottom Plan

Non-Homogeneous Modular Assembly 6 modules working together to generate interior condition that is non-homogeneous by strategic overlapping and expressive structural elements embedded in the modular design

Top Six different ways of connections of modular assembly Bottom From left to right, From Top to Bottom, connection 1 - 6 SCI_Arc EDGE Sanghyun Suh

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Wall Assembly Components

Each wall components has unique geomtry and corresponding to numerical language that could be detected and read by machine vision to be used as address system

Wall Assembly Result

Top Yolo Object detection to test the wall performance for human detection on DTLA street Bottom Process of harvesting image sets and generattion of performative wall element for better human detection SCI_Arc EDGE Sanghyun Suh

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"Good" Wall & "Bad Wall" There are two types of walls for the interior They were designed to perform in the opposite ways. Good wall is for machine to detect the humans more visible for its sensors whereas "Bad" wall is to hinder with the machine's visibility of human agents in the Based on the Wall performance the level of privacy so thus it conditions the spatial condition to be Public or Private.

Public and Private are no longer divided by the human sense, but also by visibility of yourself by machine.

Wall Performance Test Using Yolo Object Detection Algorithm, the validity of the wall performance was test.

"Good" Wall performance for human detection was superior than the "Bad" Wall.

As a speculative design

Top "Bad" Wall generated by CycleGan with images of busy streets of Tokyo, Seoul, China, New York Middle Numerical numbering of each components that are used for Wall assembly

Top Interior condition with machine agents roaming Middle Average Color value measured of the tiles by a machine agent with Image sensor Bottom Yolo Object Detection used to test the validity of Wall models

Bottom Process of harvesting image sets and generattion of performative wall element for better human detection

Wall as Information Display Each Wall assembly components are numerically coded so that machines can sense the assemblies as a layer of information. If a machine agent has, for example, Lidar sense. On the other hand, if a machine agent has an image sensor, it can accurately harvest the average color value information for each tile and use them as an array of information for communication, and way of addressing certain location.

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Top Topview of the site - Modular design of whole complex that suggest new typology Distribution Center + Solar Farm + Social Housing SCI_Arc EDGE Sanghyun Suh

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Courtyard Entry for Competition Project Year: Autumn 2020

SCI_Arc EDGE Sanghyun Suh

Courtyard. This is future plan for Paris. The project suggest the use of C ourtyards of Parisian apartments. It is designed with the consideration of two possible outcomes for the usage. This first outcome is more houses per square footage. The second is the reactivation of the cour yard and utilization of the collective space for more opportunities for housing. The C ourtyard is no longer a negative void that is populated by the typical parisian apartments. Through this project courtyards become the protal to many added neighbors above the existing buildings. With the increased floating population, the cour yards become more active and dynamic. Each block that has unit is 865 square meeter and they are interlinked with the columns extruded from the ground of the courtyards. They are connected vertically, horizontally, and more importantly Modularly.

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Modular design Modularity of design makes this platform readily available to be installed in any location, if the foundational work with the vertical core is done. Based on your need, you can decide how many units are going to be attached to the core and configure the combination to your liking.

Left Axon Render

Often, parisian apartment comes with the courtyard that is shaped as horseshoe, and the shape of the panel is from the typical typological condition found in the site. Also for the Color choice, Blue and White panels are referring to the color skims that is commonly found in the area. Formally, it is a megastructure that is extruded from ground but its design is rooted to the context.

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Right Exterior Panel, and condition of elevated ground plane offering new interface of interaction

Courtyard is lifted from void space in the block among parisian apartment. It is reactivation and utilization of the space that was under-used. The elevated ground is offering new ground that connects multiple neighbors in unexpected ways to offer moments of interactions between the tenants of this complex.

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Top Axon Plan; this view shows interlinked condition of living through a rythmical compositioin of Courtyards SCI_Arc EDGE Sanghyun Suh

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This Section drawing demonstrates a complex interlinkage between one unit to another, and one ground to another ground. This complex composition was made only with one geometry: Courtyard. Blue signifies vertical circulation between, and the yellow signifies a connection to the elevated ground. The elevated ground connects and disconnects each unit unexpectedly so that it addes to the complexity to organization to mitigate with the repetitive motive for geometry. Each unit is provided with full kitchen, living room, and 3 private rooms. All together the whole complex provides over 500 units and in total, can take 1500 tenants. And this is only for one block of the Paris, which could destress the high rental price of central Paris, and create more space to live for people who want to and need to live in Paris. If you assume this type of modular megastructure prevalent in the most of the paris, it could accomodate 250,000 more tenants per arrondissement. If apply to all 18 arrondissement, 4,500,000 more tenants could be accomodated, which could significantly drop the rent price of the city, and that could potentially invite more younger people, and creatives who couldn't afford to live in the city center before.

Top Section SCI_Arc EDGE Sanghyun Suh

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Studio Instructor: Eric Herrmann, Sandhya Kochar Project Year: 2018

A THING INSIDE OF A THING Researching for expressiong of forms thats intertwing. For two forms to coexist one should yield and embrace. These form exercizes are to investigate the formal tension and harmony as if they are in a relationship to each other. The research is not only in the form itself but the spatial natujre that comes with the formal qualities.

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Top Left Form making diagram Top Right Intersection of two volume Bottom Right Elevation of the form Bottom Left Elevation of the form

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A THING INSIDE OF A THING

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INTERTWINE

TWO PROGRAMS

MIX & COMPRESSION

Based on the formal research above, mixed program, hotel and gallery, typology was designed. The focus of the design was to express formal and programmic conditions that are intertwined to each other to create interesting moments formally and spatially. There were specific moments of mixing between one program to another through their circulation, point of view to have playful intersection from a user of one program to another program.

INTERTWINED

Left Diagram showing the entanglement of two masses Bottom Elevation from street view SCI_Arc EDGE Sanghyun Suh

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Left Plan of main gallery and 3rd floor demonstrating mix of two programs; gallery and hotel Right Section showing scale difference between programs and intertwining of two SCI_Arc EDGE Sanghyun Suh

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INTERTWINE section chunk

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TWO SCALES OFFICE & HOUSE STUDIO PROJECT Instructor: Curtis Roth Project Year: Autumn 2018

This project have two scales for two programs. One is house that is full scale and another is office that is half scale. The goal of the project was to research the impact of scale in design and to seek opportunities for the interplay among objects and agents in different scales. Formally it utilize horse -shoe shape and four square grid.

Four square grid is typical typological condition in house design and the horse-shoe shape intrinsically have formal possibility to be divided into four components with each characteristic qualities and scales. For instance, the toe part is proportionally half of the size of the sole while it maintains certain formal qualities of the toe and the sole. The whole complex is stacked as sandwitches that creates rhythmical composition where it provides systematic irregularities in shapes and for apparatures.

Left Elevation of two scale, two program SCI_Arc EDGE Sanghyun Suh

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Left Section demonstrating the condition of space and intersections of two scale objects and agents within the complex Right Plans showing the horse-shoe and four square usage within the design and the various configurations SCI_Arc EDGE Sanghyun Suh

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STUDIO PROJECT Instructor: Beth Blostein Project Year: Autumn 2019

SLATE LIBRARY It is a local library situated next to a small valley. The valley has exposed slate stones extensively, and the slate stone became the design language to reflect the specific geological condition of the local context. The composition of the form resembles rock formations of the site where each planar rocks are leaning towards each other, making idiosyncratic yet harmonical rhythmical composition. It is a monumental take on a local library with the mindfullness of critical locality of the site.

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Left Top Diagram of Facade making.

Left Bottom Elevation of the library from south Right Site plan that shows condition. The library is looking out to the valley 063

Bottom Section of the building. The section demonstrates the spatial condition that is referring to the geometries of exterior composition.

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Plan First floor

Elevation North view

Plan Second floor

Perspective Entrance from main street 067

SLATE LIBRARY

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TRANSLATION OF AN OBJECT STUDIO PROJECT Instructor: Ben Wilke Project Year: Autumn 2019

Whole project was designed with the shape of 'V'. This is a research project to investigate the formal possibilities with limited asset and limited site condition. First, a vessel was designed then the design language used in the vessel was translated to a wall.

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Top Left Photos of model Top Right Plans Bottom Right Form making 077

Top Left First Floor Top Right Second Floor Bottom Continuous section

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Top Left Site Render Top Right Perspective Render Bottom Left Photo of Model Bottom Right Photo of Model SCI_Arc EDGE Sanghyun Suh

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THE NEXT EXIT FOREIGN GROUND

This was an accelerated project. From design to product, the total length was two weeks. Program of the site was to design a resting spot on I-71 Colorado, where they are surrounded by is to introduce the foreign ground to a rest spot.

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STUDIO PROJECT Instructor: Ben Wilke Project Year: Autumn 2019

Top Left Form making Diagram Top Right Plan Bottom Right Section and Elevation 083

THE NEXT EXIT FOREIGN GROUND

Left Axon drawing Right Photo of Model on site SCI_Arc EDGE Sanghyun Suh

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This mausoleum is in the middle of Harajuku, Tokyo. Due to the high property price, memorial of the dead should be compact. Considering Japan's burial tradition and their cultural closeness to Buddism, cremation is common practice. Thus, the design of the mausoleum is reflecting of these cultural context, and the form of the architecture is a re-interpretation of Pagoda in Buddist temple.

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Left Axon drawing Right Diagram of module making 087

Left Form making Diagram Right Assembly of form

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Left Plan Right Section SCI_Arc EDGE Sanghyun Suh

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Elevation Render

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Exploded Wall Assembly

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RECONCILIATION OF COMPARTMENTALIZED

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分節の和合

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Competition Entry / collaborated with Treye Denton

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DRAWING WITH NO OTHER MEDIUM:

Rhino, RhinoCAM, Pen, CNC, Paper, Foam Core Board

PROCESS:

From Rhino Vector Drawings to RhinoCam's algorithmic view of the vectors to CNC calibration for Pen tip length to Pen to Paper translation.

Information to Information to Friction, Pressure, Height, Wear of Pen.

STATEMENT:

The process is the author. The original design isn't the significant factor of the design for the final product. Inter-medium translation of information is the key to make the end product interesting. Errors and unexpected variations in the process of realization of digitality to physicality is the most crucial medium of the drawing.

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Photo of DTLA Photos are taken from my personal walk of downtown LA, building datasets.

Walking in Digital LA with Machine Advisors: M. Casey Rehm Project Year: Spring 2021

This is an experimental project where it utilizes various kinds of machine vision technics to view the Downtown L A through machine. An alternative walk through of the city.

Project used, the author's personal dataset of downtown L A , and the machine is reorganizing the collection of images to create "meta-L A". StyleGan was trained on the personal photo datasets, then St yleGan introduces you to a Laten Vector Space to look at the Digital Meta L A . where you can walk with the machine generated Piano Music. The scene in the Latent space is changing based on the music notes the piano composition has. Each note is a directional vector that leads you from one place to another place.

Processing Image It was put in StyleGan to train NN model to create alternative walk space of downtown LA

StyleGan Image Generation Meta-LA image is created from StyleGan model using my personal photos taken during my walk in the physical LA

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StyleGan Latent Space Walk

Neural Network Generated music

Meta DTLA generated by StyleGan

StyleGan Latent Space Walk Orchestrated with Machine Genrated music

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Architecture For Machine Vision Advisors: M. Casey Rehm Project Year: Spring 2021

With increasing involvement of machines to our daily life from Tesla's autonomous driving cars to Amazon Warehouse robots delivering your packages, we should start thinking about designing for their visions. This project is tr ying to speculate on the kinds of architectural elements that could be introduced. and new design direction for architecture. It is a researching the possible geometrical, color,

DTLA with Lidar Scan

Point Cloud model of DTLA SCI_Arc EDGE Sanghyun Suh

DTLA with Lidar Scan 075

New ways for Material Choices F o r b e t te r L i d a r s c a n s , o n e c a n t h i n k of o p t i m i z i n g m a te r i a l s u s e d fo r a rc h t i e c t u ra l a p p l i c a t i o n s . Re d b e i n g t h e h i g h e s t e n e rg y re t u r n f ro m L i d a r, a n d B l u e b e i n g t h e l o w e s t e n e rg y re t u r n f ro m L i d a r, t h e p ro j e c t m a d e a c a te l o g of m a te r i a l s fo r v a r i o u s ta c t i l i t i e s , c o l o rs , a n d g e o m e t r i e s . L i g h te r c o l o rs g a v e t h e h i g h e s t re t u r n a n d D a r ke r c o l o rs g a v e t h e l o w e s t re t u r n . A d d i t i o n a l l y, t h e s u r fa c e c o n d i t i o n d i c ta te d h o w t h e l a s e r d e p a r te d f ro m t h e L i d a r d i s s i p a te . Ro u g h e r s u r fa c e c re a te d m o re m i s re a d i n g s a n d l o w e r re t u r n w h e re a s d e n s e r a n d s m o o t h e r m a te r i a l s g a v e m o re a c c u ra te re a d i n g s . O n to p of t h a t , t h e o p a c i t y a n d ref l e c t i v i t y of m a te r i a l s a f fe c te d t h e a c c u ra c y of t h e L i d a r s c a n a s w e l l . M o re o p a q u e m a te r i a l s a re, h i g h e r t h e a c c u ra c y, a n d M o re ref l e c t i v i t y t h e re a re , l e s s a c c u ra c y fo r t h e L i d a r s c a n . E s p e c i a l l y o n e s w i t h t h e h i g h e r ref ra c t i o n c re a te d re l a t i v e l y i n a c c u ra c y re a d i n g s . B a s e d o n t h i s re s e a rc h , o n e c a n d e s i g n a m a te r i a l sy s te m w h e re yo u c a n i n te n t i o n a l l c re a te a zo n e w i t h t h e h i g h e r v i s i b i l i t y fo r m a c h i n e a n d v i c e v e rs a .

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Wall Assembly Components

Numbered Panels Since machines can detect complex geometry much better than human utilizing their sensors like Lidar, they can understand the codified system made out of the panel. These panels as a composition could be recognized as array of information that could potentially replace or add more geotag information like address information, and so on.

Metallic layer

"Good" Wall & "Bad Wall"

Lidar will get higher energy return rate from reflective surfaces like metal. Thus, having a central point that is painted with metallic paint, that could be a referential point for the panel recognition. Additionally, the average color value for the wall can be measured and utilized as another layer of information that could be embedded in the wall.

Good wall is for better human detection and Bad wall is for poor human detection. How Good wall works is by harvesting elements of architecture in urban setting that resulted in good human detection then making a texture with CycleGan For bad wall multiple images with a street full of human beings so that the machine would mistake to think that there are too many people other than the one thats standing in front of the wall.

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Gamification Of Architecture Advisors: Damjan Jovanovic Project Year: Autumn 2020

Using Unreal Engine 4, the project was designed to develop a platform for modular archtiecture assembly. There were 6 modular components that were design to connect organically and project let you test out the possible compositions out of the modules. You have abilities to make changes like rotate, add, and delete like games. This aspect of the project is promoting interactiveness in design rather than generative design. On top of that, by utilizing the game engine, you can add features like D ecal, and visualize with much ease for your design. Easy to modify and add 3D Assets without much complications compared to traditional sofwares like Rhino3D, and AutoDesk products.

SCI_Arc EDGE Sanghyun Suh

Top Six different ways of connections of modular assembly Bottom From left to right, From Top to Bottom, connection 1 - 6

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SCI_Arc EDGE Sanghyun Suh

6 Modules to choose and place in the scene

Ability to Rotate the module with Gumble on

Placement of a Module next to the existing one; highlighted as blue cube

Additional effects like Decal; borrowed from Game Aesthetics 083

Project Credit: Daniela Cadavid, Charlene Chen, Emily Dinnerman

AI and ADU

Advisors: M. Casey Rehm, Mimi Zeigar Project Year: Spring 2021

This project was funded by Google AMI grant, and there are two parts. One is utilization of AI to cope with the site selection. There were many approaches were researched. One example was picking site for Affordable housing, and TOC. AI was used to create a platform to make correlation between the affordable housings and TOC in Los Angeles. Another example is placement of ADU. Using CycleG an, existing satelite images were transformed into high density residentials with addition of ADUs to test out the density changes and automatic placements of ADU. The second part is automation of ADU construction using "Customizable CLT panels". Based on the modular design layout for ADU, Cross-Laminated-Timber are placed automatically with agent-based assembly. The assembly considers structural integrity, and the directionality of the CLT panels. To optimize structure and construction, Finite Element Analysis was done, and calculated weight transfer to determine the CLT panel layout direction

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Project Credit: Heena Patel, Jonah Klinghoffer, Nikhil Bang, Yangfan Xiao

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CLT Panel Assembly Examples SCI_Arc EDGE Sanghyun Suh

Panel Layout Based on Structural optimization 089

Study of ADU typology with the Modularity in mind Integrated Wet Wall and structuralization of Wet Wall to minimize the cost

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Roof Design and Structural Diagram of the CLT layout

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More Typology Study for ADU

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More Typology Study for ADU

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Neural Network / AI

AI Sandbox

Advisors: Damjan Jovanovich Project Year: Spring 2021 funded by EPIC Games

This project was funded by EPIC games grant, and there are two parts. First is to develop a plugin for architectural design platform for EPIC games, and second is to implement of Neural Network models and other means of AI to assist with many steps in design phase.

The project deals with UI design, Platform development, Research of precedents for AI utilization in architectural applications. There will be features like image -based Neural network model assisting with generation and placement of textures. and 3D geometr y generation based on user mouse movement histor y and "gesture based" command in the game environment. The idea is that this plugin will be an interactive platform of collaboration for design process between human and machine. It is still in a proto-type phase and there will be more changes to come later in 202 1.

SCI_Arc EDGE Sanghyun Suh

Assets / Textures

Archtiectural Designi Platform Modeling / Texturing

"Complete Platform for architecture design for modeling, rendering, simulation, AI utilization"

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Research Part

Sketch Input

"Maximum Likelihood Interpretation"

Primitive Geometry

Detailed Geometry

Texture

Interactive Refinement

Rendering

1. Xuejin Chen, Sing Bing Kang, Ying-Qing Xu, "Sketching Reality: Realistic Interpretation of Architectural Designs", Microsoft Research 2. Paul E. Debevee, Camillo J. Taylor Jitendra Malik, "Modeling and Rendering Architecture from Photographs: A hybrid geometry- and image-based approach", University of California Berkeley SCI_Arc EDGE Sanghyun Suh

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Prototype deployment in UE4

Diagram of workflow

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