Research

Program Committee Served

• Program Committee, JCICE 2024 (3rd International Joint Conference on Information and Communication Engineering, China)
• Program Committee, ADACIS 2023 (IEEE International Conference on Advances in Data-Driven Analytics and Intelligent Systems, Morocco)
• Program Committee, AMLC 2023 (Amazon Machine Learning Conference, USA)
• Program Committee, AMLC 2022 (Amazon Machine Learning Conference, USA)
• Program Committee, ICMLC 2023 (International Conference on Machine Learning and Cybernetics, Australia)
• Program Committee of 15th International Conference on Agents and Artificial Intelligence 2023
• Program Committee of 8th International Conference on Artificial Intelligence and Applications 2022
• Invited to serve in the program committee of MIT
• Served in the International Advisory board of 5th International Conference on Cybernetics, Cognition and Machine Learning Applications, Germany
• Served in the program committee of IEEE Symposium Series on Computational Intelligence – 2020 & 2021

Publications

Viswanathan, K. Ashwin, Goutam Mylavarapu, Johnson P Thomas. 2023.Unsupervised Spiking Neural Network Model of Prefrontal Cortex to study Task Switching with Synaptic deficiency. arXiv e‑prints: arXiv: 2305.14394

Viswanathan, K. Ashwin, Goutam Mylavarapu, Kun Chen, and Johnson P. Thomas. “A Study of Prefrontal Cortex Task Switching Using Spiking Neural Networks.” In 2020 12th International Conference on Advanced Computational Intelligence (ICACI), pp. 199-206. IEEE, 2020.

Viswanathan, K. Ashwin, Goutam Mylavarapu, and Johnson P. Thomas. “Biologically inspired augmented memory recall model for pattern recognition.” In International Conference on Cognitive Computing, pp. 147-154. Springer, Cham, 2018

Mylavarapu, Goutam, Johnson P. Thomas, and Viswanathan, K. Ashwin. “An automated big data accuracy assessment tool.” In 2019 IEEE 4th International Conference on Big Data Analytics (ICBDA), pp. 193-197. IEEE, 2019.

Mylavarapu, Goutam, Viswanathan, K. Ashwin, and Johnson P. Thomas. “Assessing Context-Aware Data Consistency.” In 2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA), pp. 1-6. IEEE, 2019.

Vaishnavi, Kamasan, Viswanathan, K. Ashwin, David Cline, and Ronak Etemadpour. “A visualization tool for learning statistical analysis in multi tabular datasets.” In 2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT), pp. 222-226. IEEE, 2016.