TEAM

Directors

Matias del Campo

Dr. Matias del Campo is a registered architect, designer and educator. Founded together with Sandra Manninger in Vienna 2003, SPAN is a globally acting practice best known for their application of contemporary technologies in architectural production. Their award-winning architectural designs are informed by advanced geometry, computational methodologies, and philosophical inquiry. This frame of considerations is described by SPAN as a design ecology. Most recently Matias del Campo was awarded the Accelerate@CERN fellowship, the AIA Studio Prize and was elected into the boards of directors of ACADIA. SPAN’s work is in the permanent collection of the FRAC, the MAK in Vienna, the Benetton Collection, and the Albertina. He is Associate Professor at Taubman College for Architecture and Urban Planning, University of Michigan.

Sandra Maninger

Dr. Sandra Manninger is an architect, researcher, and educator. Born and educated in Austria, she co-founded SPAN Architecture together with Matias del Campo in 2003. SPAN Architecture’s research highlights how to go beyond beautiful data to discover something that could be defined voluptuous data. This coagulation of numbers, algorithms, procedures, and programs uses the forces of thriving nature and, passing through the calculation of multi-core processors, knits them with human desire.

Sandra Manninger has taught internationally and her award-winning projects have been published and exhibited, for example, at La Biennale di Venezia 14/16/18/21, the MAK, the Autodesk Pier 1 and have been included in the permanent collections of the FRAC Centre-Val de Loire, The Design Museum/Die Neue Sammlung in Munich, or the Albertina in Vienna.

PhD Student

Alexandra Carlson

Alexandra Carlson is a PhD Student in the University of Michigan Robotics Institute. Her graduate research focuses on robust computer vision for autonomous vehicles, specifically on realistic visual feature modeling in images to improve detection and segmentation algorithm performance. She has served as a graduate student mentor for the Taubman AI+Architecture Master’s thesis studio for the past two years, and has collaborated on numerous architecture projects that involve modeling style in both images and 3D models. She has a BA in psychology from the University of Chicago, where she performed research in both computational neuroscience and physics.

Research Assistants

Janpreet Singh

Janpreet is a Masters student in Electrical & Computer Engineering at the University of Michigan, Ann Arbor. His research interest lie at the intersection of Computer Vision, Scene understanding and generation, and Domain adaptive methods to learn robust feature representation for Vision problems. Previously, he worked at Atkins, India working predominantly on products that dealt with analyzing images and point cloud data of Public assets like Roads, Bridges, Railways and infer their conditions using a combination of computer vision algorithms for image recognition, object detection, etc. He has a BTech in Electronics engineering from Indian Institute of Technology, Dhanbad.

Yuxin Lin

Yuxin Lin is graduated from the University of Michigan Taubman College of Architecture and Urban Planning with a Master of Architecture degree. He is interested in utilizing different design methods through material and advanced technologies. His academic research focuses on applying digital fabrication technologies and artificial intelligence in the field of architecture.

Yining Yuan

Yining Yuan is an architectural designer graduated from the University of Michigan with M.Arch. Her interest is mainly focused on applications of GANs in the design process of architecture and urban planning in a practical context.

Girish Chandar Ganesan

I am a Masters student in Electrical and Computer Engineering specializing in the field of Computer Vision at the University of Michigan, Ann Arbor. I received my Bachelor of Technology degree from Indian Institute of Technology Gandhinagar. I’m interested in research areas that employ GANs(Generative Adversial Networks) to solve computer vision problems and research areas that involve 3D mapping of 2D images. I have previously worked under Prof. Xiaohu Guo at University of Texas at Dallas on a project titled “Optimization based Inverse Rendering” that creates a 3D head model from a 2D image of a face. I have also worked with GANs to create a model that transfer image from the MNIST dataset domain to the SVHN dataset domain.
Here is the link to my website: girish1511.github.io

Upasana Thakuria

Upasana is a Masters student in Electrical & Computer Engineering at the University of Michigan, Ann Arbor. Her interests include development and deployment of Computer Vision based deep learning models. She has previously worked on projects to develop Computer Vision solutions for mask/unmasked face detection, crowd detection system to check COVID-19 social distancing norms, bank and ATM security surveillance. She has a B.Tech in Electronics & Telecommunications from Sardar Patel Institute of Technology, India.

Chung-Han Huang

Chung-Han is a Master’s student in Architecture at the University of Michigan, Ann Arbor. Before U of M, she worked as a project manager for a human-centered architecture and interior design firm for four years. Her interest lies at the intersection of space design, technology, and people. She advocates the importance of human experience and psychology in digital and physical space, and dedicates herself to optimizing space design with technology. She received her Bachelor of Architecture from Tunghai University, Taichung.