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About me
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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Short description of portfolio item number 1
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Published in Journal of Science Policy and Governance, 2020
Recommended citation: V. Gupta, J. Hypolite, S. Mell, H. Sanghvi, "Securing Election Infrastructure with Hand-Marked Paper Ballots". Journal of Science Policy & Governance. September 30, 2020
Published in Journal of Neuroscience Methods, 2022
Recommended citation: R. Ben-Shalom, A. Ladd, N. S. Athreya, C. Cross, K.G Kim, H. Sanghvi, A. Korngreen, K. E. Bouchard, K. J. Bender. "NeuroGPU: Accelerating multi-compartment, biophysically detailed neuron simulations on GPU".in Journal of Neuroscience Methods, Volume 366, 2022
Published in SciTech Forefront, 2022
Recommended citation: W. Gosrich, J. Parker, H. Sanghvi, T. Srivastava, S. Wolfman. "Neutralizing the Algorithm: Approaches for Reducing the Spread of Disinformation Online", in SciTech Forefront, July 2022.
Published in International Conference on Robotics and Automation, 2022
Recommended citation: H. Sanghvi, C.J. Taylor. "Fast Footstep Planning on Uneven Terrain Using Deep Sequential Models" in International Conference on Robotics and Automation 2022.
Published in 2024 Conference on Robot Learning (CoRL), 2024
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Undergraduate Course, University of California, Berkeley, 2017
I answered questions and helped students debug their circuits and code during lab sesssions.
Graduate course, University of Pennsylvania, 2020
I held office hours to guide students through programming assignments, developed discussion sections to reinforce lecture concepts, answered student questions online, and wrote and debugged exam questions.
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Technical report on perceptive legged locomotion, written for Ph.D Qualifying Examination
Recommended citation: H.Sanghvi. "Recent Approaches for Perceptive Legged Locomotion" 2022
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A blog post I wrote for the Penn Science Policy and Diplomacy Group exploring the strengths and faults of modern approaches to computer vision and natural language processing, and how legislation could regulate it.