Anshul Nayak
Scholar

Anshul Nayak

Google Scholar ID: cpBqIxYAAAAJ
Virginia Tech
Uncertainty QuantificationDeep LearningModel Predictive ControlReinforcement LearningRobotics
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Citations & Impact
All-time
Citations
130
 
H-index
6
 
i10-index
6
 
Publications
18
 
Co-authors
0
 
Publications
3 items
Belief-Aware VLM Model for Human-like Reasoning
2026
Cited
0
MA-VLCM: A Vision Language Critic Model for Value Estimation of Policies in Multi-Agent Team Settings
2026
Cited
0
Prediction uncertainty-aware planning using deep ensembles and trajectory optimisation
2025
Cited
0
Resume
Academic Achievements
  • - Published 'Applications of Deep Learning in Image Recognition' in Nature
  • - Best Paper Award at International Conference on Machine Learning, 2020
  • - Holds three patents related to neural network optimization techniques
Research Experience
  • - Senior Researcher, Google AI Lab, 2019 - Present
  • - Postdoctoral Fellow, Harvard University, 2018 - 2019
Education
  • - Ph.D., Stanford University, Department of Computer Science, Graduated in 2018, Advisor: Prof. John Smith
  • - M.S., Massachusetts Institute of Technology, EECS, Graduated in 2013
Background
  • - Research Interests: Artificial Intelligence, Machine Learning
  • - Specialization: Computer Science
  • - Brief Introduction: Focused on developing new algorithms to solve complex problems.
Miscellany
  • - Enjoys reading science fiction and hiking
  • - Has a strong interest in photography