School of Engineering
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Kian Katanforoosh
Adjunct Lecturer, Computer Science
BioKian Katanforoosh is a computer scientist and lecturer at Stanford University, where he teaches Deep Learning in the Computer Science department with Prof. Andrew Ng. He is a founding member of DeepLearning.AI, co-creator of the Deep Learning Specialization on Coursera, and founder of Workera (www.workera.ai), a self-assessment platform where people evaluate their job competencies with AI-powered assessments and find their career pathways. From 2014 to 2016, Kian co-founded and co-led Daskit, a French start-up developing in-classroom ed-tech solutions for universities.
Kian holds Master's degrees from Stanford University and Ecole CentraleSupelec (formerly Ecole Centrale Paris). At Stanford, he received both the Walter J. Gores award (Stanford’s highest teaching award) and the Centennial award for Excellence in teaching.
His family migrated from Iran to France, and he grew up next to Paris. -
Changhoon Kim
Adjunct Professor, Computer Science
Biohttps://www.changhoon-kim.com
Changhoon (Chang) Kim is an adjunct professor at the Computer Science Department. He is also an Intel Fellow and CTO of Applications at Barefoot Switch Division (BXD) in Intel Corp. He has been working actively for the P4 Language Consortium (P4.org). Chang is leading various research and engineering projects regarding fully-programmable high-speed networking devices. Before getting involved with P4.org and Barefoot Networks, he worked at Windows Azure, Microsoft’s cloud-service division, and led engineering and research projects on the architecture, performance, and management of datacenter networks. Chang is interested in programmable networking, network monitoring and diagnostics, domain-specific machine architectures, application acceleration, self-configuring/running networks, and debugging and diagnosis of large-scale distributed systems. Many of his engineering and research contributions — including In-band Network Telemetry (INT), VL2, Seawall, EyeQ, Ananta, and SEATTLE — are adopted in large production systems and services. He received a few awards, including SIGCOMM 2019 Test of Time Award, best paper awards from top-notch conferences (SIGCOMM, NSDI, and FAST), and Microsoft Rockstar Award 2013.
