My personal page
https://nicolabernini.github.io/
Currently Sr. Perception Engineer @ Zipline
Previously @ Uber Elevate and Ambarella working on Computer Vision and ML for Autonomous Vehicles, Embedded Deep Learning
Some of the things I have been working on
- at the intersection of Machine and Computer Vision on topics like SLAM, Visual Odometry, Object Detection, ... for Autonomous Vehicles (cars and flying drones)
- on Reinforcement Learning for Controller Synthesis and Properties Falsification
- at the intersection of Programming Languages and Safety, exploring approaches like Transpiling
- Deep Learning on Embedded Platforms, with model compression, pruning and quantization, dealing with the SoCs architecture and on chip hardware accelerators
- also a bit with GAN for Dataset Augmentation and Sim2Real
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Some of my GitHub Repos
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- A bunch of papers I have read and analyzed
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Writer for Towards Data Science, some of my articles
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PhD in ML and Computer Vision
- Under the supervision of Professor Alberto Broggi and Professor Massimo Bertozzi, I have worked on SLAM and Autonomous Cars at VisLab - Ambarella
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Second degree in Physics
- Under the supervision of Professor Cristiano Viappiani, I have worked on Molecular Dynamics Simulations for Cytoglobin, regarding this paper CO Rebinding Kinetics and Molecular Dynamics Simulations Highlight Dynamic Regulation of Internal Cavities in Human Cytoglobin
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Published at HSCC 2021: A Few Lessons Learned in Reinforcement Learning for Quadcopter Attitude Control
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Submission to ICML 2021 (currently under review)
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Machine Learning
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Computer Vision
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Embedded Deep Learning, SoC and HW Acceleration
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Blockchain, Smart Contracts