Anoop Namboodiri
About Anoop Namboodiri
Anoop Namboodiri serves as the Chief Science Officer at DreamVu Inc. and is a Professor at the International Institute of Information Technology Hyderabad, specializing in biometrics, light field technologies, and artificial intelligence.
Current Role at DreamVu Inc.
Anoop Namboodiri serves as the Chief Science Officer at DreamVu Inc. since 2017. In this role, he focuses on advancing the company's initiatives in light field technologies and computer vision. His leadership contributes to the development of innovative solutions that leverage his expertise in biometrics and artificial intelligence.
Academic Position at IIITH
Since 2023, Anoop Namboodiri has been a Professor at the International Institute of Information Technology Hyderabad (IIITH). His academic career at IIITH spans over a decade, having previously held positions as Assistant Professor and Associate Professor. His research interests include pattern recognition and biometrics, areas in which he has published extensively.
Professional Background
Anoop Namboodiri has a diverse professional background. He began his career as a Software Engineer at Siemens Technology India from 1996 to 1997. He then worked as a Scientist at the Defence Research and Development Organisation from 1998 to 1999. His tenure at IIITH included roles as Assistant Professor, Associate Professor, and now Professor, totaling over 18 years.
Education and Expertise
Anoop Namboodiri earned his Bachelor of Technology in Computer Science from the National Institute of Technology Calicut from 1992 to 1996. He then pursued a Doctor of Philosophy in Computer Science at Michigan State University from 1999 to 2004. His educational background supports his expertise in light field technologies, biometrics, and artificial intelligence.
Research Contributions
Anoop Namboodiri has made significant contributions to the field of computer vision, with over 75 published papers in renowned conferences. His research focuses on biometrics and pattern recognition, reflecting his commitment to advancing knowledge in these areas. His work emphasizes minimalistic and efficient approaches to solving complex problems.