sachin.grover @ asu . edu
Thank you for stopping by!
I am Sachin Grover, a Ph.D. candidate advised by Prof. Subbarao Kambhampati. My Ph.D. is oriented towards designing Human-Aware AI techniques using Automated Task Planning for collaboration in Human-Robot teams.
I did my Masters at Arizona State University, advised by Prof. Kurt VanLehn, on learning human mental model while a student interact with an Intelligent Tutoring System. I completed my Bachelors at National Institute of Technology, Rourkela, India (NITR).
Currently, I am looking for full-time opportunities in Research+Engineering roles.
Research Interest: Human-Aware AI, Human-AI collaboration, Automated Task Planning, Multi-Agent Systems.
My research focuses on designing human-aware techniques and systems through interaction, where the automated system collaborates with active human teammates. The interaction can be in the form of providing support or refining the human’s mental model using AI planning (Automated Task Planning) techniques or machine learning methods. Currently, I am interested in developing industrial solutions for human-aware systems using AI based insights. My work has been published in referreed journals (HCI, IEEE, Taylor & Francis etc.), and several peer reviewed conferences (AI & Education AIED, Naturalistic Decision Making NDM etc.) and workshops (Explainability and AI ICAPS XAIP, ML for Public Health NEURIPS MLPH) etc. List of my publications can be checked below.
NEURIPS MLPHCOVID-19 India Dataset: Parsing COVID-19 Data in Daily Health Bulletins from States in IndiaNeurips MLPH, arXiv preprint arXiv:2110.02311 2021
PatentCompression of machine learned models2021
HCI special issueRADAR: automated task planning for proactive decision supportHuman–Computer Interaction 2020
ICAPS XAIPModel elicitation through direct questioningICAPS XAIP, arXiv preprint arXiv:2011.12262 2020
PatentCompression of machine learned models2020
HRIPlan Explanations as Model Reconciliation -- An Empirical StudyIn 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI) 2019
NDMiPass: A case study of the effectiveness of automated planning for decision supportNaturalistic Decision Making 2019
ICAPS SPARKWhat can automated planning do for intelligent tutoring systemsICAPS SPARK 2018
IJAIEDHow should knowledge composed of schemas be represented in order to optimize student model accuracy?In International Conference on Artificial Intelligence in Education 2018
IEEELearning How to Construct Models of Dynamic Systems: An Initial Evaluation of the Dragoon Intelligent Tutoring SystemIEEE Transactions on Learning Technologies 2017
The design and development of the dragoon intelligent tutoring system for model construction: lessons learnedInteractive Learning Environments 2017
IJAIEDLearning science by constructing models: can dragoon increase learning without increasing the time required?International Journal of Artificial Intelligence in Education 2016
ThesisOnline Embedded Assessment for Dragoon, Intelligent Tutoring System2015
IEEEText Extraction from Document Images Using Edge InformationIn 2009 Annual IEEE India Conference 2009