Publications | google scholar profile

Machine Learning with TensorFlow

January 2018

Nishant Shukla

Manning Publications

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Learning Human Utility from Video Demonstrations for Deductive Planning in Robotics

November 2017

Nishant Shukla, Yunzhong He, Frank Chen, Song-Chun Zhu

CoRL 2017 - Conference on Robot Learning

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Systems, devices and methods for analyzing and identifying substances

April 2017

Shannon Krauss, James Landers, Nishant Shukla

International Patent No. WO 2017/070607 A1

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Jointly Learning Grounded Task Structures from Language Instruction and Visual Demonstration

November 2016

Changsong Liu, Shaohua Yang, Sari Saba-Sadiya, Nishant Shukla, Yunzhong He, Song-Chun Zhu, Joyce Y. Chai

EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing

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Robot Learning with a Spatial, Temporal, and Causal And-Or Graph

May 2016

Caiming Xiong, Nishant Shukla (corresponding author), Wenlong Xiong, Song-Chun Zhu

ICRA 2016 - IEEE International Conference on Robotics and Automation

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Hematocrit Analysis Through the Use of an Inexpensive Centrifugal Polyester-Toner Device with Finger-to-Chip Blood Loading Capability

May 2016

Brandon Thompson, Rachel Gilbert, Maximo Mejia, Nishant Shukla, Doris Haverstick, Gavin T. Garner, James Landers

Analytical Chemistry Acta    featured article

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Task Learning through Visual Demonstration and Situated Dialogue

February 2016

Changsong Liu, Joyce Y. Chai, Nishant Shukla, Song-Chun Zhu

AAAI'16 Workshop on Symbiotic Cognitive Systems

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A Unified Framework for Human-Robot Knowledge Transfer

November 2015

Nishant Shukla, Caiming Xiong, Song-Chun Zhu

2015 AAAI Fall Symposium on AI for Human-Robot Interaction (AI-HRI 2015)

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Joint Learning from Video and Caption

December 2015

Tingran Wang, Nishant Shukla, Caiming Xiong, Song-Chun Zhu

ICCV Workshop on Closing The Loop Between Vision and Language (CLVL), 2016

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Rapid detection of Clostridium difficile via magnetic bead aggregation in cost-effective polyester microdevices with cell phone image analysis

In Review

Jacquelyn DuVall, Scott T Cabaniss, Morgan L Angotti, John H Moore, Mayuresh Abhyankar, Nishant Shukla, Daniel L Mills, Bryan G Kessel, Gavin T Garner, Nathan S Swami, James P Landers

Biosensors and Bioelectronics

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Optical Imaging of Paramagnetic Bead-DNA Aggregation Inhibition Allows for Low Copy Number Detection of Infectious Pathogens

June 2015

Jacquelyn A DuVall, Juliane C Borba, Nazly Shafagati, Deborah Luzader, Nishant Shukla, Jingyi Li, Kylene Kehn-Hall, Melissa M Kendall, Sanford H Feldman, James P Landers

PloS one 10 (6)

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Protein and Hematocrit Quantitation from Whole Blood on Polyester-Toner Laser-Printed Microfluidic Discs with Cell Phone Image Analysis

October 2014

Brandon L. Thompson, Yiwen Ouyang, Jingyi Li, Shannon T. Krauss, Nishant Shukla, Doris M. Kessel, Bryan G., Haverstick, Gavin T. Garner, James P. Landers

18th International Conference on Miniaturized Systems for Chemistry and Life Sciences

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Haskell Data Analysis Cookbook

August 2014

Nishant Shukla

Packt Publishing

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Effects of real-time synaptic plasticity using spiking neural network architecture

April 2014

Nishant Shukla, Matthew Frazier

University of Virginia Senior Thesis

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Interviewed by the freeCodeCamp podcast

March 2018

"Ep. 20 - Basics of Machine Learning - interview with Nishant Shukla"

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Invited to present at the Information Initiative at Duke

September 2017

"Data Dialogue: Machine Learning in 10 Epochs"

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Mentioned in Norwegian press

June 2017

"På disse fagområdene har unge best forutsetning for å lykkes"

[Web article]

Acknowledged by UCLA Commencement Student Speaker

June 2017

"2017 Commencement Student Speaker"

[Web article]

Featured in Daily Bruin

May 2016

"Give a Robot a Fish"

[Web article]

Article in AI Weekly

May 2015

"An Underappreciated Perspective for AI"

[Web article]

Acknowledged in Conference Paper

October 2014


Book Featured in Today Software Magazine

October 2014

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Featured on UVA UNBOUND Magazine

April 2014

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Interviewed by Crypto Coins News

April 2014

[Web article]

Mentioned in The Atlantic

February 2014

[Web article]

Featured on UVA Today

December 2013

[Web article]

Honors & Awards


    Nominated by UCLA Computer Science for research and academic distinction
  • UCLA FELLOWSHIP (Winter 2015)

    For distinguished academic records as a graduate student

    For scholastic merit at UVA

    For top 20% GPA in first two academic years

    For leadership and intellectual breadth at UVA

Resume [download]