Shanmuga Venkatachalam

According to our database, Shanmuga Venkatachalam authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

NeuroHex: Highly-Efficient Hex Coordinate System for Creating World Models to Enable Adaptive AI.

Quinn Jacobson, Joe Luo, Jingfei Xu, Shanmuga Venkatachalam, Kevin Wang, Dingchao Rong, John Paul Shen

CoRR, March, 2026

NeuroAI Temporal Neural Networks (NeuTNNs): Microarchitecture and Design Framework for Specialized Neuromorphic Processing Units.

Shanmuga Venkatachalam, Prabhu Vellaisamy, Harideep Nair, Wei-Che Huang, YoungSeok Na, Yuyang Kang, Quinn Jacobson, John Paul Shen

CoRR, February, 2026

2024

Corrigendum: SemNet: Learning semantic attributes for human activity recognition with deep belief networks.

Shanmuga Venkatachalam, Harideep Nair, Ming Zeng, Cathy Tan, Ole J. Mengshoel, John Paul Shen

Frontiers Big Data, 2024

Realtime Person Identification via Gait Analysis.

Shanmuga Venkatachalam, Harideep Nair, Prabhu Vellaisamy, Yongqi Zhou, Ziad Youssfi, John Paul Shen

CoRR, 2024

Realtime Person Identification via Gait Analysis Using IMU Sensors on Edge Devices.

Shanmuga Venkatachalam, Harideep Nair, Prabhu Vellaisamy, Yongqi Zhou, Ziad Youssfi, John Paul Shen

Proceedings of the International Conference on Neuromorphic Systems, 2024

2023

Robot Locomotion Control Using Central Pattern Generator with Non-linear Bio-mimetic Neurons.

Vijay Shankaran Vivekanand, Shahin Hashemkhani, Shanmuga Venkatachalam, Rajkumar Kubendran

Proceedings of the 9th International Conference on Automation, Robotics and Applications, 2023

Frame of Events: A Low-latency Resource-efficient Approach for Stereo Depth Maps.

Shanmuga Venkatachalam, Vijay Shankaran Vivekanand, Rajkumar Kubendran

Proceedings of the 9th International Conference on Automation, Robotics and Applications, 2023

2022

SemNet: Learning semantic attributes for human activity recognition with deep belief networks.

Shanmuga Venkatachalam, Harideep Nair, Ming Zeng, Cathy Tan, Ole J. Mengshoel, John Paul Shen

Frontiers Big Data, 2022