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My interest is in technologies that can be applied in the real world. I use a mix of applied machine learning, computer vision and embedded systems techniques to study "systems" and produce solutions that can work in the real world.
Basics
| Name | Anupam Sobti |
| Label | Assistant Professor |
| Url | https://anupamsobti.github.io/ |
| Summary | Assistant Professor at Plaksha University with expertise in Geospatial Computer Vision, Embedded Sensing, and Perception with applications in agriculture and urban planning. |
Work
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2023.03 - Present Assistant Professor
Plaksha University
Teaching courses in applied ML/computer systems and leading research groups in Geospatial Computer Vision, Embedded Sensing and Perception with applications in agriculture and urban planning.
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2021.10 - 2023.03 Postdoctoral Researcher
Microsoft Research India
Worked on problems in the broad agenda of Sustainability and Dependable IoT.
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2015 - 2016 Engineer, Product and Test Engineering
Qualcomm India Pvt Ltd
Collaborated with teams across Bangalore, Singapore, and USA for silicon bring-up. Worked on MBIST and ATPG test development and simulation for multiple production SoCs. Took various initiatives for test-time reduction on production patterns. Led the memory failure analysis team for Qualcomm Bangalore. Was awarded 5 Qualstars for outstanding contributions to the team.
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2013 - 2015
Education
Skills
| Computer Vision | |
| Machine Learning | |
| Geospatial Computer Vision |
| Embedded Systems Design | |
| Sensing Perception co-design | |
| Tiny Machine Learning |
| Programming/Coding | |
| Python | |
| VHDL |
Languages
| English | |
| Fluent |
| Hindi | |
| Fluent |
Interests
| Technology | |
| IoT | |
| Sustainability | |
| Health |
| Sports | |
| Cycling | |
| Table Tennis |