Dr. Satya V. Nitta is passionate about solving major global problems by inventing and developing technologies to address them. He has deep experience in inventing, building world class teams and developing groundbreaking technologies in both the hardware and software areas of computing. He is currently the worldwide leader and program director of the Cognitive Sciences and Education Technology research department at IBM Research. He has envisioned and launched the cognitive computing for education initiative from IBM Research as part of the larger global IBM Watson Education business. His global team invents and develops technologies at the intersection of cognitive neuroscience and cognitive computing and employs multiple techniques in fields ranging from machine learning, natural language processing, virtual and augmented reality, to experimental and computational neuroscience.
Earlier, as manager and technical leader of the Advanced Interconnect Technology department at the IBM Research, he has led teams of scientists and engineers which invented and defined many aspects of IBM’s on-chip interconnect technologies with significant technological, business and strategic impact to several generations of IBM’s semiconductor and high performance server products. He is the lead inventor of IBM’s Airgap interconnect technology and his work has impacted multiple BEOL technology nodes from the 65nm node to the 7nm node.
He has experience in C-suite level client engagements and has been the architect as well as the chief technical leader behind critical business negotiations in areas ranging from Silicon Technology to Cognitive Computing.
Dr. Nitta received a PhD from Rensselaer Polytechnic Institute in Chemical Engineering in 1998 and has been at IBM Research since 1999. He was named as the IEEE Spectrum “Innovator of the Year”in 2008 and also won an IEEE Spectrum Ace Award for “Technology of the Year”in 2008. In 2016, he was chosen as one of the top 50 global movers and shakers of education by the World Innovation Summit in Education. He has authored or co-authored over 30 publications, one book chapter, and currently holds over 80 US patents with over 40 additional patent applications pending at the USPTO. His work has been cited in over 1600 peer reviewed publications. His research interests span the fields of computer hardware, artificial intelligence, cognitive neuroscience, machine learning, virtual and augmented reality, nanomaterials, nanoelectronics, sensor systems, the internet of things and renewable energy generation as well as storage. He is a current advisory board member of Rensselaer Polytechnic Institute’s Biological and Chemical Engineering department and for over a decade, was a past advisory board member of the Rensselaer Nanotechnology Center.
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