I am Sr. Director of AI at QA Wolf.
Before that, I was VP Engineering at Duffl, Wellth and dm.ai.
I received my PhD in Computer Science from UCLA under Professor Song-Chun Zhu.
During that time, I published a textbook titled
Machine Learning with TensorFlow.
Previously, at the University of Virginia, I graduated with a B.S. in Computer Science, and a B.A. in Mathematics.
There, I was a founding member of HackUVA (now HooHacks), our University's first hackathon.
Learning human utility from video demonstrations for deductive planning in robotics.
Shukla, N., He, Y., Chen, F., & Zhu, S. C. (2017, October).
In Conference on Robot Learning (CoRL) (pp. 448-457).
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A unified framework for human-robot knowledge transfer.
Shukla, N., Xiong, C., & Zhu, S. C. (2015, September).
In 2015 AAAI Fall Symposium Series.
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Robot learning with a spatial, temporal, and causal and-or graph.
Xiong, C., Shukla, N., Xiong, W., & Zhu, S. C. (2016, May).
In 2016 IEEE International Conference on Robotics and Automation (ICRA) (pp. 2144-2151). IEEE.
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Task learning through visual demonstration and situated dialogue.
Liu, C., Chai, J. Y., Shukla, N., & Zhu, S. C. (2016, March).
In Workshops at the Thirtieth AAAI Conference on Artificial Intelligence.download PDF
Jointly learning grounded task structures from language instruction and visual demonstration.
Liu, C., Yang, S., Saba-Sadiya, S., Shukla, N., He, Y., Zhu, S. C., & Chai, J. (2016, November).
In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (pp. 1482-1492).
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Objective method for presumptive field-testing of illicit drug possession using centrifugal microdevices and smartphone analysis.
Krauss, S. T., Remcho, T. P., Lipes, S. M., Aranda IV, R., Maynard III, H. P., Shukla, N., ... & Landers, J. P. (2016).
Analytical chemistry, 88(17), 8689-8697.
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PATENTS
System and method for speech understanding via integrated audio and visual based speech recognition (2019, September)
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System and method for personalized and adaptive application management (2019, July)
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Systems, devices and methods for analyzing and identifying substances (2017, April)
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System and method for adaptive detection of spoken language via multiple speech models (2019, December)
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System and method for inferring scenes based on visual context-free grammar model (2019, August)
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System and method for identifying a point of interest based on intersecting visual trajectories (2019, August)
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System and method for disambiguating a source of sound based on detected lip movement (2019, August)
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System and method for reconstructing unoccupied 3d space (2019, August)
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System and method for Artificial Intelligence driven automated companion (2019, July)
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System and method for detecting physical proximity between devices (2019, July)
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System and method for selective animatronic peripheral response for human machine dialogue (2019, July)
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PRESS
Wrote article on authoring conversational interfaces (2020, May)
"A chatbot expedition"
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Wrote article about programming languages (2019, December)
"An Introduction to Task-Oriented Programming"
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Interviewed by the freeCodeCamp podcast (2018, March)
"Ep. 20 - Basics of Machine Learning - interview with Nishant Shukla"
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Invited to present at the Information Initiative at Duke (2017, September)
"Data Dialogue: Machine Learning in 10 Epochs"
see event details
Mentioned in Norwegian press for leading a Machine Learning workshop (2017, June)
"På disse fagområdene har unge best forutsetning for å lykkes"
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Featured in Daily Bruin for robotics research (2016, May)
"Give a Robot a Fish"
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Wrote article in AI Weekly (2015, May)
"An Underappreciated Perspective for AI"
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Interviewed by Crypto Coins News (2014, April)
"hack.uva: University of Virginia To Host The First Hackathon Sponsored By Dogecoin"
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Mentioned in The Atlantic (2014, February)
"Imagine Getting 30 Job Offers a Month (It Isn't as Awesome as You Might Think)"
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Featured in UVA Today (2013, December)
"From programming languages to auto mechancis, engineering students give teaching a try"
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