I am Ardavan, a computational designer, roboticist, and machine learning enthusiast. I am also a Ph.D. candidate and the robotics fellow in CoDe Lab at the Carnegie Mellon University. My research is focused on the intersection of robotics, machine learning, and design. I am developing meta-tools that help creative users create their ML-based tools through demonstrations in the physical context of their practice.
I am contributing to the architectural robotic research at the Carnegie Mellon University dFab and teaching the Introduction to Architectural Robotics (ITAR).
ROBOTICS | MACHINE LEARNING | GENERATIVE MODELS
In the past couple of years, I had been collaborating with Bentley Systems as well as Autodesk’s OCTO team at Pier 9 and BUILD Space.
I hold a Bachelor of Architecture and a Master of Architecture from the University of Tehran, Iran, and a Master of Architecture in Design Computing from The Pennsylvania State University.
Manuel Ladron de Guevara
DEEP LEARNING | NLP | GENERATIVE DESIGN
Manuel Ladron de Guevara is a PhD student of Computational Design at Carnegie Mellon University. Manuel is a computational designer, roboticist and researcher on machine learning, deep learning and natural language processing applied to design. His research examines the trace that natural language leaves in the design process, that is, how design artifacts register the subjective and rather ambiguous design intents present in early conceptual design stages. Excavating these language marks present on design objects could potentially set the ground for new design frameworks through the use of natural language and deep learning algorithms, enabling the transition from CAD—Computer Aided Design— to AIAD—Artificial Intelligence Aided Design.
Manuel contributes to the architectural education at the Carnegie Mellon University, teaching Studios at a Freshmen and Sophomore years since 2018, and Pre-College in 2017, 2018 and 2019.
Manuel is also a licensed architect and has worked in the industry for a number of years in Cloud9, Enric Ruiz Geli, in Barcelona. He also earned experience in construction working as an ARB architect in London, England. He designed and built his first building in Spain at the age of 25.
Manuel holds a Bachelor and M.arch of Architecture from the Polytechnic University of Catalonia, ETSAB, receiving Honors for his Thesis Research Project. He also holds a Masters of Advanced Architectural Design (MAAD) from the Carnegie Mellon University.
Jinmo Rhee is a computational designer and architect interested in integration of artificial intelligence and space design. Jinmo is studying his master and doctoral degree in computational design in Carnegie Mellon University, received his Bachelor of Architecture from Korea National University of Arts (KNUA), and completed Royal Institute of British Architects (RIBA) part I and part II.
DEEP LEARNING | MACHINE LEARNING | GENERATIVE DESIGN
He works with generative systems and programming to explore and analyze spatial quality and implements technologies based on artificial intelligence to bridge urban and architectural design.
Currently, Jinmo is investigating the application of machine learning in architectural and spatial design with ‘contextness’and expanding his border to exhibition, education, and publication. Click here to contact Jinmo and download CV
GENERATIVE DESIGN | REINFORCEMENT LEARNING | DEEP LEARNING
I am a computational designer with vast experience in research, architectural education, technological consultancy, and generative design. I have an interdisciplinary understanding of architecture and design based on the integration of design knowledge with ideas from cybernetics, artificial intelligence, deep learning, and reinforcement learning.
My current interests concern the systematization and development of computational strategies to generate designs that are environmentally responsible and customized to human needs.
I am Bachelor of Architecture and Urbanism from the University of Brasilia (2006). Master of Architectural Design from the University of Sao Paulo (2011). Currently, I am a PhD candidate in computational design at Carnegie Mellon University, developing intelligent and interactive agents for creative composition and spatial design
Daragh Byrne is an Associate Teaching Professor at the School of Architecture at Carnegie Mellon University and holds a courtesy appointment in the School of Design. He defended his PhD at Dublin City University (DCU) in August 2011, holds a M.Res. degree in Design and Evaluation of Advanced Interactive Systems from Lancaster University and a B.Sc. in Computer Applications from DCU.
His work blends human-centered, process-oriented and arts-integrative practices to examine emerging media in applied contexts. His teaching and research reflects this interest with a current focus on the Internet of Things and tangible interaction design.
ASSOCIATE TEACHING TRACK
Current NSF-funded research focuses on leveraging the internet of things to support documentation in maker-based learning contexts (#1736189) and the recently launched Ground Works initiative: a partnership between CMU and the Alliance for the Arts in Research Universities (a2ru) to extend this project and deliver a new online platform for arts-integrative scholarship. Previous work has included the MakeSchools Alliance, an effort to catalog Making in higher education, and the NSF-funded XSEAD project, a community platform for arts-integrative practice.
Daniel Cardoso Llach
PH.D. | ASSOCIATE PROFESSOR
Daniel Cardoso Llach is an architect, design scholar, and researcher interested in issues of automation in design, interdisciplinary creativity, human-machine interaction, and technological cultures in architecture and design. He teaches architecture in the School of Architecture at Carnegie Mellon University as an Associate Professor, where he chairs the Master of Science in Computational Design program and co-directs the CoDe Lab.
Cardoso Llach’s work explores problems ranging from social and cultural aspects of automation in design, the politics of representation and participation in software, and new methods for using data to visualize design as a socio-technical phenomenon. His recent research includes a book on the cultural history of Computer-Aided Design and numerically controlled machinery that examines how postwar technological projects shaped conceptions of design informing current architectural practices: Builders of the Vision: Software and the Imagination of Design (Routledge, 2015).
A scholar committed to fostering critical and inquisitive perspectives on design technologies, Daniel has lectured extensively and conducted numerous workshops on computational design in universities across the globe including Harvard, Cornell, and MIT. His students’ work has been shown in venues including the New York Center for Architecture, the New York Guggenheim, the Beijing Biennale and TED. He has published articles and essays in AD, Design Issues, Thresholds, and IJAC among others. He has co-chaired the editorial board of SIGRADI, and regularly serves in the scientific committee of conferences and journals including IJAC, CAADRIA and SIGGRAPH.
Daniel holds a Masters of Science and a Ph.D. in Architecture: Design and Computation from the Massachusetts Institute of Technology, and a B. Arch from Universidad de los Andes. He has consulted as a computational design specialist for Gehry Technologies and Kohn Pedersen Fox, among others, and practiced as an independent licensed architect and media designer in his native Bogotá.
Professor Ramesh Krishnamurti joined the School of Architecture faculty in 1989. He was tenured and became a full professor in 1994. In this role, his responsibilities include both undergraduate and graduate teaching and Ph.D. advising. In 2000-01 and 2002-03 he served as the Chair of the SoA’s graduate program. Ramesh teaches and has taught courses in shape grammars, spatial constructions, geometrical modeling, computer animation, configurational design, symmetry, geometry, computer modeling, computer programming, and user interface design.
Much of Ramesh’s work has a multidisciplinary flavor. He has worked on object-agents in design environments, knowledge-based design systems, the integration of natural language and graphics, spatial algorithms, robotic construction, computer simulation, computer graphics and graphical programming environments, user-interfaces for a variety of design applications, and computer-supported collaborative work. Currently he is working with researchers from Civil Engineering and Robotics at CMU to look at the utilization of laser scanning and embedded sensor technologies within a dynamically changing construction environment, and with researchers from Delft University to look at generative design and model representations.
Ramesh’s principal area of research is in computational design with particular emphasis on the formal, semantic, and algorithmic aspects of generative construction and the development of design as computation via highly-coupled parallel explorations of form and description. He is perhaps best known for his work on the computational problems in shape grammar theory and for algorithms for spatial patterns.
He holds a degree in Electrical Engineering from the University of Madras, India and a degree with honors in Computer Science from the University of Canberra, Australia. Ramesh pursued postgraduate studies in Systems Design at the University of Waterloo, Canada earning a M.A.Sc in 1975 and Ph.D in 1980.
Ramesh’s research has received support from major sponsors including the UK Science and Engineering Research Council, ESPRIT (European Strategic Programme on Information Technology), National Science Foundation (NSF), Defense Advanced Research Projects Agency (DARPA), US Army Corp of Engineers Civil Engineering Research laboratory, Japan Research Institute, and Autodesk.