Mimamsa Inspired Representation of Actions (MIRA). - Bama Srinivasan; Ranjani Parthasarathi (IICAI, 2011)

A Formalism for Action Representation Inspired by Mīmāṁsā. - Bama Srinivasan; Ranjani Parthasarathi (J. Intell. Syst., 2012)

An intelligent task analysis approach for special education based on MIRA. - Bama Srinivasan; Ranjani Parthasarathi (J. Appl. Log., 2013)

A survey of imperatives and action representation formalisms. - Bama Srinivasan; Ranjani Parthasarathi (Artif. Intell. Rev., 2017)

A Formalism to Specify Unambiguous Instructions Inspired by Mīmāṁsā in Computational Settings. - Bama Srinivasan; Ranjani Parthasarathi (Logica Universalis, 2022)

Analysis of Machine Learning Techniques for Time Domain Waveform Prediction in Analog and Mixed Signal Integrated Circuit Verification. - Dhanasekar V; Vinodhini Gunasekaran; Anusha Challa; Bama Srinivasan; J. Dhurga Devi; Selvi Ravindran; Ranjani Parthasarathi; P. V. Ramakrishna; Gopika Geetha Kumar; Venkateswaran Padmanabhan; Guha Lakshmanan; Lakshmanan Balasubramanian (ISQED, 2023)

An NLP Based Approach to Automate and Enhance the Systematic Review Within PRISMA Format. - Jeena A Thankachan; Bama Srinivasan (ICCCSP, 2024)

Machine Learning based Waveform Predictions using Discrete Wavelet Transform for Automated Verification of Analog and Mixed Signal Integrated Circuits. - J. Dhurga Devi; Bama Srinivasan; Selvi Ravindran; Ranjani Parthasarathi; P. V. Ramakrishna; Lakshmanan Balasubramanian (VLSID, 2024)

A mathematical formulation of learner cognition for personalised learning experiences. - Jeena A Thankachan; Bama Srinivasan (Cogn. Syst. Res., 2024)

Automated Computer Program Evaluation and Projects - Our Experiences. - Bama Srinivasan; Mala Nehru; Ranjani Parthasarathi; Saswati Mukherjee; Jeena A Thankachan (CoRR, 2024)

A Mīmāṃsā Inspired Framework Towards Temporal Reasoning in Large Language Models. - Bama Srinivasan; Mohan Raj Vijayan (ICLA, 2025)