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Industry Research Labs

Artificial Intelligence Researcher, Bosch Center for Artificial Intelligence, Summer 2024

Abstract

Building Cognitive Architecture Inspired Neurosymbolic AI Systems for Egocentric Activity Recognition.

Relevant Publication(s)

  1. Roy, K., Wu, S., Oltramari, A. (2024). Neurosymbolic Cognitive Methods for Enhancing Foundation Model-based Reasoning. To appear in: The Handbook on Neurosymbolic AI and Knowledge Graphs, IOS Press [chapter preprint].

Artificial Intelligence Researcher, Bosch Center for Artificial Intelligence, Summer 2023

Abstract

Building Neurosymbolic AI solutions for Spatio-Temporal Scene Understanding.

Relevant Publication(s)

  1. Roy, K., Oltramari, A., Zi, Y., Shyalika, C., Narayanan, V., & Sheth, A. (2024). Causal Event Graph-Guided Language-based Spatiotemporal Question Answering. In Proceedings of the AAAI Symposium Series (Vol. 3, No. 1, pp. 227-233). [paper] [code]

Artificial Intelligence Researcher, Samsung Research America, Summer 2022

Abstract

Building Personalized Dialogue Systems.

Relevant Publication(s)

  1. Raj, K., Roy, K., Bonagiri, V., Govil, P., Thirunarayan, K., Goswami, R., & Gaur, M. (2024, May). K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries. In Proceedings of the AAAI Symposium Series (Vol. 3, No. 1, pp. 219-226). [paper] [code]

Academic Research Labs

Visiting Researcher, The Alan Turing Institute, Fall 2021

Abstract

Capturing Moments of Change in Longitudinal User Posts.

Relevant Publication(s)

  1. Tsakalidis, A., Chim, J., Bilal, I. M., Zirikly, A., Atzil-Slonim, D., Nanni, F., …, Roy, K., … & Liakata, M. (2022, July). Overview of the CLPsych 2022 shared task: Capturing moments of change in longitudinal user posts. In Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology (pp. 184-198). [paper]

Research Assistant, StARLinG Lab, 2017-2020

Abstract

Building Methods for Relational Sequential Decision-Making.

Relevant Publication(s)

  1. Roy, K. (2020). Relational Sequential Decision Making [paper]
  2. Das, S., Natarajan, S., Roy, K., Parr, R., & Kersting, K. (2020). Fitted Q-Learning for Relational Domains. International Conference on Knowledge Representation and Reasoning (Extended Abstract) [paper].

Undergraduate Research

Bachelor of Engineering Student, RV College of Engineering, 2014-2016

Abstract

Building Methods for Optimized Computation by Leveraging Resource-Efficient Algorithms and Distributed Computing Techniques.

Relevant Publication(s)

  1. Bhat, A., & Roy, K. (2016, August). Optimized knn for sequential execution. In 2016 International Conference on Inventive Computation Technologies (ICICT) (Vol. 1, pp. 1-6). IEEE. [paper]
  2. Anchalia, P. P., Roy, K., & Roy, K. (2015, March). Two Class Fisher’s Linear Discriminant Analysis Using MapReduce. In 2015 17th UKSim-AMSS International Conference on Modelling and Simulation (UKSim) (pp. 463-469). IEEE. [paper].
  3. Anchalia, P. P., & Roy, K. (2014, January). The k-nearest neighbor algorithm using MapReduce paradigm. In 2014 5th International conference on intelligent systems, modelling and simulation (pp. 513-518). IEEE. [paper]