About me

I am a Ph.D. student in the computer science department at Indiana University. I am broadly interested in cognitively-inspired artificial intelligence and the computational properties of memory.

Outside work, I like to bike with friends, find new coffee shops to work at, and dream of building models that can defend themselves from the second reviewer without human intervention.

Interests-

• Machine Learning
• Computational Cognitive Neuroscience

Publications-

• Sahaj Singh Maini, James Mochizuki-Freeman, Chirag Shankar Indi, Brandon G. Jacques, Per B. Sederberg, Marc W. Howard, and Zoran Tiganj. “Representing Latent Dimensions Using Compressed Number Lines.” 2023 International Joint Conference on Neural Networks (IJCNN). IEEE, 2023. pdf
• James Mochizuki-Freeman, Sahaj Singh Maini, and Zoran Tiganj. “Characterizing neural activity in cognitively inspired RL agents during an evidence accumulation task.” 2023 International Joint Conference on Neural Networks (IJCNN). IEEE, 2023. pdf
• Sahaj Singh Maini, James Mochizuki-Freeman, Chirag Shankar Indi, Brandon G Jacques, Per B Sederberg, Marc Howard, & Zoran Tiganj (2022). Constructing compressed number lines of latent variables using a cognitive model of memory and deep neural networks. In NeurIPS 2022 Memory in Artificial and Real Intelligence workshop. pdf
• James Mochizuki-Freeman, Sahaj Singh Maini, & Zoran Tiganj (2022). Evidence accumulation in deep RL agents powered by a cognitive model. In NeurIPS 2022 Memory in Artificial and Real Intelligence workshop. pdf
• Sahaj Singh Maini, Louis Francis Labuzienski, Saurabh Gulati, and Zoran Tiganj. “Comparing Impact of Time Lag and Item Lag in Relative Judgment of Recency.” Proceedings of the Annual Meeting of the Cognitive Science Society. Vol. 44. No. 44. 2022. pdf
• Selahattin Akkas, Sahaj Singh Maini, and Judy Qiu. “A Fast Video Image Detection using TensorFlow Mobile Networks for Racing Cars.” 2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019. pdf