Architecture Computational Technologies
Explore design research at the frontiers of architecture through experimentation in computational design, robotic systems applied to fabrication and interactivity, and materiality. For more information please contact ms.act@nyit.edu
Results for "student_work" on Architecture Computational Technologies
ARCH 702B Computational Design Studio 2: Fabrication and Robotics Prof. Pablo Lorenzo-Eiroa Midterm
Blog | Apr 05, 2022
ARCH 702B Computational Design Studio 2: Fabrication and Robotics Prof. Pablo Lorenzo-Eiroa Midterm Review
Students Presentation Order in Midterm Review Video: Farah Jalil, Yousef Ismail, Salma Kattass, Kavya Sista
Midterm Review Invited Guest Critics: Fred Levrat, Tom Verebes, David Diamond, Marcella del Signore, Nishan Kazazian, Nelson Montas Lacurente
The ARCH 702B Studio Syllabus aims at researching informational flows between algorithms, Machine Learning, Structural simulation and optimization and Robotically informed fabrication, understanding continuity and non linear feedback between computational design and informed fabrication.
Students started by developing analog models based on the work of engineers and architects that developed methodologies for form finding architectural models in relation to structural performance, including but not limited to Gaudi, Brunel, Fuller, Ricolais, Otto, Dieste, and others.
The studio is working with several computational and robotic technologies understanding form as structure, including the range of emergent conditions that arise from fabrication. Although students are working with simulation, optimization and ML, the studio aims at unmotivating drawing-modeling and activate design through fabrication, avoiding any translation between representational modes and understanding performance in the object of study.
Students are at the moment working on scaled prototypes understanding structural forces in architectural typologies and optimizing 3d printing models, will then proceed to activate feedback loops through and personalized technology workflow activating AI ML, to transition into full scale prototypes in the Summer of 2022 during their last term in the program.
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MASTER’S IN ARCHITECTURE, COMPUTATIONAL TECHNOLOGIES PROGRAM IS TAKING ARCHITECTURE INTO THE FUTURE
Blog | Jan 20, 2022
Today, students in New York Tech’s M.S. in Architecture, Computational Technologies (M.S.ACT) degree program are inventing new ways to look at architecture. It’s all happening through artificial intelligence (AI) and robotic systems and being applied in exciting ways that could impact architecture and, more broadly, environmental systems for the next several decades.
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INFORMED REALISM ARCH 701B Studio Final Review Prof. PABLO LORENZO-EIROA
Blog | Dec 23, 2021
An Informed Realism becomes active once survey is understood as an act of design. Questioning representation parameters in architecture, students address how computation can be understood as proto-architectural. From Big Data gathering, to emergent computation through simulation, to activating artificial intelligence (Data Science, Simulation, Machine Learning), to an augmented virtual reality, students are asked to develop ideas through specific computational thinking, learning and investigating through technology specific cultural problems.
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INFORMED REALISM ARCH 701B Studio Prof. PABLO LORENZO-EIROA
Blog | Nov 13, 2021
An Informed Realism becomes active once survey is understood as an act of design. Questioning representation parameters in architecture, students address how computation can be understood as proto-architectural. From Big Data gathering, to emergent computation through simulation, to activating artificial intelligence (Data Science, Simulation, Machine Learning), to an augmented virtual reality, students are asked to develop ideas through specific computational thinking, learning and investigating through technology specific cultural problems.
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"INFORMED REALISM" Big Data AI Computational Design Studio Prof. PABLO LORENZO-EIROA Student Work
Blog | Oct 29, 2021
ARCH 701B Informed Realism Architecture Studio Fulbright Scholar Student Salma Kattass, Prof. Pablo Lorenzo-Eiroa. Student work implementing AI through Big Data 3d scanning update of our new MS in Architecture, Computational Technologies Program at the School of Architecture and Design at NYIT made possible by Dean Maria Perbellini and an IDC Grant. Guggenheim Museum, New York City as never seen before!
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INCLUSIVE FUTURES Big Data+AI GANs In-Formed Realism Prof. Pablo LORENZO-EIROA
Blog | Jul 26, 2021
INCLUSIVE FUTURES Big Data+AI GANs In-Formed Realism Prof. Pablo LORENZO-EIROA
New York Institute of Technology School of Architecture and Design Participated of Digital Futures-Inclusive Futures Workshop, Lectures and Exhibitions events supported by Dean Maria Perbellini and organized by Tom Verebes and including workshops participations tutored by Marcella Del Signore, Christian Pongratz and Pablo Lorenzo-Eiroa.
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MS_ACT Venice Biennale Pilot Studio SoAD NYIT Featured at ACSA Study Architecture
Blog | Oct 26, 2020
New York Institute of Technology School of Architecture and Design
ARCH 502 THESIS STUDIO Spring 2020
MS in Architecture, Computational Technologies Program Pilot Studio
Informed Insterscalar Fluidity, Venice Biennale Installation, Assoc. Prof. Pablo Lorenzo-Eiroa, NYIT
SoAD with STUDENTS: Andres Carcamo, Brianna Lopez, Peter Leonardi, Alex Pannichela, Ari
Begun, Yemi Oluwayemi Oyewole, Karina Pena, Isaiah Miller, Ben Sather
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MS in Architecture, Computational Technologies Pilot Studio
Blog | Sep 28, 2020
This is an experimental Thesis studio focused on analyzing, displacing and designing computational technologies as a pilot studio for the upcoming Master of Science in Architecture Computational Technologies
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SoAD Covid-19 Response
Blog | Jul 22, 2020
In response to the COVID-19 crisis, NYIT School of Architecture & Design
has resoundingly joined together in a collective endeavor to make PPE
for hospitals and healthcare workers.
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Final Review Discussion ARC 502 S2020 Prof. Pablo Lorenzo-Eiroa
Blog | May 29, 2020
ARCH 502
Undergraduate Pilot Thesis Studio "Informed Insterscalar Fluidity”
STUDIO:
Assoc. Prof. Pablo Lorenzo-Eiroa, NYIT SoAD Final Review Discussion
New York Institute of Technology, School of Architecture and Design
STUDENTS:
Andres Carcamo,
Brianna Lopez,
Peter Leonardi,
Alex Pannichela,
Ari Begun,
Yemi Oluwayemi Oyewole,
Karina Pena,
Isaiah Miller,
Ben Sather
JURORS:
MARIO CARPO, Professor, Bartlett UCL, London
KARL CHU, Professor UIC, Barcelona
MATIAS DEL CAMPO, Associate Professor, Taubman College, Ann Arbor
MARCELLA DEL SIGNORE, Associate Professor, NYIT SoAD
CYNTHIA DAVIDSON, Director Anyone Corporation / Editor Log, NYC
MARIO GRAZIANO VALENTI, Associate Professor, Sapienza University, Rome
FRED LEVRAT, Visiting Professor, Pratt Institute, NYC
MAIDER LLAGUNO, Principal AZPML, London
SANDRA MANNINGER, Assistant Professor of Practice, Taubman College, Ann Arbor
ALESSANDRO MELIS, Professor of Architecture and Innovation, Portsmouth School of Architecture
CIRO NAJLE, Dean, Di Tella, Buenos Aires
MARIA PERBELLINI, Dean NYIT SoAD
CHRISTIAN PONGRATZ, Senior Advisor to the Provost and Professor, NYIT
GALIA SOLOMONOFF, Associate Professor of Professional Practice, Columbia GSAAP, NYC
TOM VEREBES, Associate Dean, NYIT SoAD
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