LiDAR Perception Researcher at Huawei
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Exploring LiDAR semantic segmentation, and shooting for state-of-the-art results.
Posts by Collection
experience
Software Engineer at UntetherAI
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Developing a Python library to optimize and process neural networks for an accelerated inference chip.
Machine Learning Engineer at DarwinAI
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Focusing on building models for manufacturing clients.
LiDAR Perception Researcher at NVIDIA
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Conducting research towards improving 3D object detection performance.
Model Deployment Platform Engineer at Cruise
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Developing tooling to assist in debugging the model deployment process, going from research models to optimized, production models.
LiDAR Perception Researcher at NVIDIA
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I returned to my former team for my master’s degree internship, this time with 8 months to cook up a cool research idea.
portfolio
Traccc
Tracking objects in a video to add custom visual effects.
publications
Convolutional Neural Networks for Classification of Drones Using Radars
Published: in MDPI Drones
Classifying drones based on RADAR return signal.
Recommended citation: Raval D, Hunter E, Hudson S, Damini A, Balaji B. Convolutional Neural Networks for Classification of Drones Using Radars. Drones. 2021; 5(4):149. https://doi.org/10.3390/drones5040149
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Sim-to-real domain adaptation for lane detection and classification in autonomous driving
Published: in IEEE Intelligent Vehicles Symposium (IV)
Learning Lane Detection using simulated data from CARLA
Recommended citation: C. Hu, S. Hudson, M. Ethier, M. Al-Sharman, D. Rayside and W. Melek, "Sim-to-Real Domain Adaptation for Lane Detection and Classification in Autonomous Driving," 2022 IEEE Intelligent Vehicles Symposium (IV), Aachen, Germany, 2022, pp. 457-463
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A Software Engineering Perspective on Testing Large Language Models: Research, Practice, Tools and Benchmarks
Published: in Software Engineering 2030 Workshop
Position paper identifying gaps in LLM Testing tools and strategies.
Recommended citation: Hudson, Sinclair & Jit, Sophia & Hu, Boyue & Chechik, Marsha. (2024). A Software Engineering Perspective on Testing Large Language Models: Research, Practice, Tools and Benchmarks. 10.48550/arXiv.2406.08216.
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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