Who am I?
I am a computer scientist, artificial intelligence researcher, and assistant professor of computer science at the University of New Orleans, USA.
Research Description:
AI has advanced in leaps and bounds in recent years and is shaping the world around us in the most unique ways. I use hybrid & knowledge-aware, explainable AI techniques to address complex problems in our daily life that challenge the boundaries of human and machine intelligence. My research interest lies at the intersection of connectionist and logicist AI, encompassing work in diverse topics, such as:
Deep Learning/ ML – Logic & Automated Reasoning – Commonsense Reasoning – Natural Language Processing (NLP) – Question Answering – Problem-Solving – Knowledge Representation and Reasoning – Human-Machine Teaming – Cognitive Modeling – Artificial General Intelligence (AGI) – Computational Social Science
For the mutual progress of humanity and science, we must be able to use AI, not as mere tools but as our able teammates. The overarching research goal is to make progress in this direction, using hybrid methods. This, more often than not, leads to exploration of problems at the intersection of Computer Science and Cognitive Science or similar scientific domains that call for interdisciplinary approaches.
​
Previously, I worked on hybrid artificial intelligence based techniques as a graduate research assistant in Rensselaer AI & Reasoning (RAIR) Lab, with my advisor Dr. Selmer Bringsjord.
​
Special Note:
I plan to admit a new PhD student to start in Fall 2023/Spring 2024.
Reach me here
Email:
shreyabbanerjee at gmail dot com
sbanerj1 at uno dot edu
​
New Orleans, Louisiana, USA
My Publications
Book Chapters
-
Bringsjord, S., Govindarajulu, N. S., Banerjee, S and Hummel, J. (2018) “Do Machine- Learning Machines Learn?”, in M¨uller, V., ed., Philosophy and Theory of Artificial Intelligence 2017 (Berlin, Germany: Springer SAPERE), pp. 136–157, Vol. 44 in the book series. https://link.springer.com/chapter/10.1007/978-3-319-96448-5_14
Conference and Workshop Papers
-
Bringsjord, S., Govindarajulu, N.S., Slowik, J., Oswald, J., Giancola, M., Angel, J., Banerjee, S., and Flaherty, A. “PERI.2 Goes to PreSchool and Beyond, in Search of AGI” in Proceedings of the15th International Conference of Artificial General Intelligence (AGI 2022), Seattle, USA, (Springer LNAI).
-
Banerjee, S., Bringsjord, S., Giancola, M. and Govindarajulu, N.S. “Qualitative Mechanical Problem-Solving by Artificial Agents: Further Progress, Under Psychometric AI”, in International FLAIRS Conference Proceedings (Vol. 35), Florida, USA, May 15-18, 2022. https://journals.flvc.org/FLAIRS/article/view/130630
-
Govindarajulu, N.S., Paquin, J.C., Banerjee, S., Sen, A., Mayol, P. and Bringsjord, S. “On Datasets for Evaluating Architectures for Learning to Reason”, in A. Martin, K. Hinkelmann, A. Gerber, D. Lenat, F. van Harmelen, P. Clark (Eds.), Proceedings of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019), Palo Alto, California, USA, March 25-27, 2019.
-
Banerjee, S., Choudhary, A. and Pal, S. “Empirical Evaluation of K-Means, Bisecting K-Means, Fuzzy C-Means and Genetic K-Means Clustering Algorithms”, in Proceedings of IEEE International WIE Conference on Electrical and Computer Engineering 2015 (WIECON-ECE 2015), Dhaka, Bangladesh, December 2015. http://ieeexplore.ieee.org/document/7443889/.