Shweta Singh
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Senior Software Engineer
MathWorks |
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Shweta Singh is a Senior Software Engineer at MathWorks working in product security space to ensure that MathWorks products and services are designed and implemented to the highest possible security standards. Since she joined MathWorks in 2019, she worked in Engineering Development Group where she worked directly with customers to resolve issues related to multiple MATLAB toolboxes. She holds Master's and Bachelor's degree in Computer Science and Engineering from India and currently working on her Ph.D. thesis with Northeastern University, Boston, MA. Her research focus is to detect undesirable emergent behaviors in system of systems using machine learning. Shweta also have multiple publications in conferences and journals. Prior joining to MathWorks, she worked as an Assistant Professor with Delhi College of Engineering, India and taught various STEM-related courses to undergraduate students. Shweta has experience delivering multiple workshops. She was a speaker at GHC 2022 delivering the workshop on utilizing autonomous drones to detect wildfires. Others include Deep Learning and IoT workshop at Ohio State University and Pocket AI and IoT enrichment workshop at Black Girls Code in 2020. Shweta was also part of the team to create GHC 2020 workshop ‘Do You See What I See?’. Outside of work, she also presented in NanoDays at the Museum of Science and Girls Scout conference. She is affiliated with GWISE, Northeastern Chapter, and was invited presenter to CRA-W 2015 and 2016. |
Workshop: Catching Fire: Autonomous Drones to Detect and Track Wildfires
October 26, 2022; 8:00am - 9:00am
October 26, 2022; 8:00am - 9:00am
Can drones help prevent natural disasters? Wildfires have become highly destructive in recent years, ravaging the environment and human lives. In this hands-on workshop, build a wildfire detection system with autonomous drones. Explore cutting-edge methods to detect fire outbreaks and predict their direction of spread. Gain skills in simulation and AI that you can apply to life-saving problems.
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