Pulin Agrawal, Ph.D.

Pulin Agrawal, Ph.D.
Assistant Professor, Computer Science and Software Engineering
174 Burke
Mailing Address:
ERIE PA 16563

I am an engineer and researcher, but foremost an educator, on the mission to build human-like intelligence in machines. I have been making progress toward this goal at Penn State by generating and disseminating knowledge in the field of Artificial Intelligence, Computational Neuroscience, and Cognitive Science through my research, teaching, and outreach.

Cognitive Science, Computational Neuroscience, Machine Learning, Artificial Intelligence.

Identification of Specific Human Behaviours From Cortisol Profiles Using a Neural Network Based Ensemble Classifier( - 2022
Collaborators: Ankita Mohapatra, Author; Timothy Trinh, Co-Author; Stevan Pecic, Co-Author

IoT Based Load Forecasting for Reliable Integration of Renewable Energy Sources, Journal of Signal Processing Systems - 2022
Collaborators: Levi Randall, Author; Ankita Mohapatra, Co-Author

The pattern theory of self in artificial general intelligence: A theoretical framework for modeling self in biologically inspired cognitive architectures, Cognitive Systems Research - 2020
Collaborators: Kevin Ryan, Author; Stan Franklin, Co-Author

Applications of Sparse Representations - 2019

Artificial General Intelligence: 12th International Conference - 2019
Collaborators: Patrick Hammer, Co-Editor; Ben Goertzel, Co-Editor; Array Ikl\'e, Matthew, Co-Editor

Pattern Theory of Self in the LIDA Cognitive Model. - 2018
Collaborators: Ryan Kevin, Author; Stan Franklin, Co-Author

Sensory Memory For Grounded Representations in a Cognitive Architecture - 2018
Collaborators: Stan Franklin, Author; Javier Snaider, Author

A LIDA cognitive model tutorial, Biologically Inspired Cognitive Architectures - 2016
Collaborators: Stan Franklin, Author; Tamas Madl, Co-Author; Steve Strain, Author; Usef Faghihi, Author; Daqi Dong, Author; Sean Kugele, Author; Javier Snaider, Author; Sheng Chen, Author

Estimating human movements using memory of errors, Procedia Computer Science - 2015
Collaborators: Daqi Dong, Author; Stan Franklin, Co-Author

Multi-layer cortical learning algorithms - 2014
Collaborator: Stan Franklin, Author

Self-system in a model of cognition, International Journal of Machine Consciousness - 2012
Collaborators: Uma Ramamurthy, Author; Stan Franklin, Author

Doctor of Philosophy, Computer Science, University of Memphis

Master of Science, Applied Computer Science, University of Memphis

Bachelor of Technology, Computer Science, Guru Gobind Singh Indraprastha University