Ian Lane
Associate Research Professor, Language Technologies Institute
Courtesy Appointment, Electrical and Computer Engineering
Associate Research Professor, Language Technologies Institute
Courtesy Appointment, Electrical and Computer Engineering
Ian Lane is an assistant research professor at Carnegie Mellon, Silicon Valley. His research interests include speech recognition, natural language processing, machine learning, and applications of these technologies. He has published extensively in these fields and received several patents and awards. He has been involved in the development of numerous speech translation systems, both research systems (GALE, TransTAC, TC-STAR, and IWSLT) and commercial products, including Jibbigo. He has an affiliated appointment in LTI and a courtesy appointment in electrical and computer engineering. Before joining CMU, Lane was an intern researcher at ATR Spoken Language Communication Laboratories, Japan. He performed his postgraduate studies at Kyoto University, culminating in a Ph.D. in 2006, and he obtained his B.Tech. from Massey University, New Zealand in 2000.
2006 Ph.D., Program in Informatics, Kyoto University
2003 Masters of Informatics, Kyoto University
2000 Bachelor of Technology, Massey University
CMU Silicon Valley
We are counting down to the new year with CMU-SV’s top 10 of 2018, celebrating novel projects, awards, and research wins from this past year.
CMU Silicon Valley
Ian Lane is the first CMU-SV professor to receive an endowed chair. Ian Lane co-founded the CUDA Center of Excellence at Carnegie Mellon University, which has helped with fundamental research in GPU-accelerated artificial intelligence. He also founded the College of Engineering GPU-cluster at the Super Computer Center in Pittsburgh.
CMU Silicon Valley
CMU Silicon Valley Professor Ian Lane has created the smart-car technology we’ve all been waiting for: Capio—a new system that can give your car both a brain and a voice.
CMU Engineering
Ian Lane’s intelligent navigation and conversation system, Capio, enables people to interact with a machine in the same way they would interact with a human.