Ramakrishna Surya

According to our database, Ramakrishna Surya authored at least 7 papers between 2019 and 2024.

Collaborative distances:

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

2024

Learning-based Image Analytics in User-AI Agent Interactions for Cyber-enabled Manufacturing.

Mauro Lemus Alarcon, Upasana Roy, Anirudh Kambhampati, Nguyen P. Nguyen, Minasadat Attari, Ramakrishna Surya, Filiz Bunyak, Matthew R. Maschmann, Kannappan Palaniappan, Prasad Calyam

Proceedings of the 4th IEEE International Conference on Human-Machine Systems, 2024

2023

Predicting Mechanical Properties of Carbon Nanotube (CNT) Images Using Multi-Layer Synthetic Finite Element Model Simulations.

Kaveh Safavigerdini, Koundinya Nouduri, Ramakrishna Surya, Andrew Reinhard, Zach Quinlan, Filiz Bunyak, Matthew R. Maschmann, Kannappan Palaniappan

Proceedings of the IEEE International Conference on Image Processing, 2023

CNT-NeRF: Carbon Nanotube Forest Depth Layer Decomposition in SEM Imagery using Generative Adversarial Networks.

Nguyen P. Nguyen, Ramakrishna Surya, Prasad Calyam, Kannappan Palaniappan, Matthew R. Maschmann, Filiz Bunyak

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Creating semi-Quanta multi-layer synthetic CNT images using CycleGAN.

Kaveh Safavigerdini, Ramakrishna Surya, Andrew Reinhard, Zach Quinlan, Filiz Bunyak, Matthew R. Maschmann, Kannappan Palaniappan

Proceedings of the 52nd IEEE Applied Imagery Pattern Recognition Workshop, 2023

2022

Self-supervised Orientation-Guided Deep Network for Segmentation of Carbon Nanotubes in SEM Imagery.

Nguyen P. Nguyen, Ramakrishna Surya, Matthew R. Maschmann, Prasad Calyam, Kannappan Palaniappan, Filiz Bunyak

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Reinforcement Learning based Carbon Nanotube Growth Automation.

Ashish Pandey, Ramakrishna Surya, Matthew R. Maschmann, Prasad Calyam

Proceedings of the 50th IEEE Applied Imagery Pattern Recognition Workshop, 2021

2019

Exploration of Carbon Nanotube Forest Synthesis-Structure Relationships Using Physics-Based Simulation and Machine Learning.

Taher Hajilounezhad, Zakariya A. Oraibi, Ramakrishna Surya, Filiz Bunyak, Matthew R. Maschmann, Prasad Calyam, Kannappan Palaniappan

Proceedings of the 48th IEEE Applied Imagery Pattern Recognition Workshop, 2019