AEC Tech Journeys with Mayur Mistry

The Anatomy of a Hypar Function

Using Geemap and Leafmap for Geospatial Data Science

IFC.js Implementation + Behind the scenes development process

Setting up AEC Data Management (Airtable demo)

Machine learning for Structural Health Monitoring

I am really excited to interview Daniel Bolojan, Founder of Nonstandardstudio. He is computational designer, lecturer, researcher and ML enthusiast. Daniel Bolojan is an Assistant Professor focusing on the application of computational design and deep learning strategies in the architecture and the architectural design process. In this interview, you will get to know Daniel’s journey, his professional works, thoughts on applications of AI in Architecture, alongwith advice to young engineers and students to get started who wish to do similar work.

I am really excited to interview Neil Leach, an architect and interdisciplinary scholar. Besides teaching at FIU, he is also Visiting Professor at Harvard GSD and Tongji University, Professor at the European Graduate School, a NASA Innovative Advanced Concepts Fellow and an academician of the Academia Europaea. In this interview, you will get to know Neil’s journey, his research work, thoughts on applications of AI in Architecture, alongwith advice to young engineers and students to get started who wish to do similar work.

I am really excited to interview Oliver Green, AEC Automation Application Developer at Allford Hall Monaghan Morris. In this interview, you will get to know Oliver’s journey from architect to software developer, thoughts on process automation and process of design-tool creation using Machine learning alongwith advice to young engineers and students to get started who wish to do similar work.

I am really excited to interview Angelos Chronis, Head Of City Intelligence Lab at AIT Austrian Institute of Technology. He teaches at the Institute for Advanced Architecture of Catalonia and Program Chair of (SimAUD) Symposium on Simulation for Architecture and Urban Design. In this interview, you will get to know Angelos’s journey, thoughts on performance driven design & simulation, development of InFraReD, an AI based design framework for urban planning. alongwith advice to young engineers and students to get started who wish to do similar work.

Pedro Veloso is a computational designer and architect interested in the intersection between artificial intelligence and design. His research and teaching address topics such as Cybernetics, classical AI, bio-inspired AI, agent-based modeling, and Machine learning for design exploration. Currently, he is investigating the application of AI in early spatial exploration, such as in architectural composition and space planning. In this episode, you will get to know about Pedro’s journey, insights about his projects alongwith advice to students and young professionals.