The Routledge Companion to Artificial Intelligence in Architecture (ePub)

Prithwish Basu is a principal scientist at Raytheon BBN Technologies (BBN). He has a PhD in computer engineering from Boston University (2003) and a BTech in computer science and engineering from the Indian Institute of Technology (IIT), Delhi (1996). Prithwish has been the Principal Investigator of several U.S. government funded research projects on networking and network science during his 17-year tenure at BBN. He was the Program Director for U.S. Army Research Laboratory's Network Science Collaborative Technology Alliance (NS CTA) program, which ran from 2009 until early 2020, and made fundamental contributions to advancing the state-of-the-art for the science of dynamic intertwined multigenre networks. Prithwish also led the DARPA-funded Fundamental Design (FUN Design) in 2017-2018, which explored the application of state-of-the-art AI/ML algorithms for graphs encoding architectural design data. Currently, he is leading the development of algorithms in the DARPA-funded FastNICs program for speeding up deep neural network (DNN) training by automatically parallelizing DNN workloads on fast network hardware. Prithwish recently served as an associate editor for the IEEE Transactions of Mobile Computing and was the lead guest editor for the IEEE Journal of Selected Areas in Communications (JSAC) special issue on network science. He has co-authored over 110 peer-reviewed articles (in conferences, journals, and book chapters) and has won the best paper award at IEEE NetSciCom 2014 and PAKDD 2014. He was also a recipient of the MIT Technology Review's TR35 (Top 35 Innovators Under 35) award in 2006.