Activity
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Crypto is global by default so we're excited to be expanding Stripe's fiat-to-crypto onramp to consumers across the 🇪🇺 EU 🇪🇺. Our onramp lets…
Crypto is global by default so we're excited to be expanding Stripe's fiat-to-crypto onramp to consumers across the 🇪🇺 EU 🇪🇺. Our onramp lets…
Liked by Neetika Bansal
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Said it before, will say it again :-) The unmet need for capital for SMBs in the US alone is not in the millions, or billions, but in the trillions…
Said it before, will say it again :-) The unmet need for capital for SMBs in the US alone is not in the millions, or billions, but in the trillions…
Liked by Neetika Bansal
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Excited to dive into the world of low-code tools that are reshaping product development! 🚀 Join me next week at WeAreDevelopers conference where…
Excited to dive into the world of low-code tools that are reshaping product development! 🚀 Join me next week at WeAreDevelopers conference where…
Liked by Neetika Bansal
Experience
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Volunteer Experience
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Executive In Residence
University of Pennsylvania
- Present 2 years 7 months
Science and Technology
https://online.seas.upenn.edu/about/executives-in-residence/
Publications
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Hardware efficient underwater mine detection and classification
IEEE-SYMPOL
Detection and classification of mine-like objects in side-scan sonar images needs to compensate for variability of objects, noise and background signatures. The unsupervised algorithm presented in this paper addresses improvements with respect to previous work and focuses on object and shadow detection based on morphological operators. Feature extraction from the detected objects and their classification into two classes, namely mine or non-mine like objects is described. Row-wise processing…
Detection and classification of mine-like objects in side-scan sonar images needs to compensate for variability of objects, noise and background signatures. The unsupervised algorithm presented in this paper addresses improvements with respect to previous work and focuses on object and shadow detection based on morphological operators. Feature extraction from the detected objects and their classification into two classes, namely mine or non-mine like objects is described. Row-wise processing technique is applied for decreasing computational costs and memory usage to allow easy porting of the algorithm to an embedded architecture. The performance of the algorithms is measured against the obtained ground-truth.
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Honors & Awards
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Institute of Engineers Singapore Gold Medal
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Lee Kuan Yew Gold Medal
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Awarded for being top student in degree program and overall academic excellence.
More activity by Neetika
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What an honor to attend the NATO 75th anniversary celebration last night. Did you know that the founding treaty was signed in the Mellon auditorium…
What an honor to attend the NATO 75th anniversary celebration last night. Did you know that the founding treaty was signed in the Mellon auditorium…
Liked by Neetika Bansal
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come join our Product Capital Markets team and flex your financing muscles!
come join our Product Capital Markets team and flex your financing muscles!
Liked by Neetika Bansal
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As Pedro announced earlier this year, I’m transitioning to an advisory role at Brex. Over the last few months, I’ve focused on ensuring a smooth…
As Pedro announced earlier this year, I’m transitioning to an advisory role at Brex. Over the last few months, I’ve focused on ensuring a smooth…
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Before founding Opslane (YC S24), I worked on many side projects in my career. Each had the following in common: I debated about which programming…
Before founding Opslane (YC S24), I worked on many side projects in my career. Each had the following in common: I debated about which programming…
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