Ramakrishna Surya

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 8

Top Topics

Mechanical Properties

Carbon Nanotubes

Top Venues

ECCV Workshops (8)

Publications

Mauro Lemus Alarcon, Upasana Roy, Anirudh Kambhampati, Nguyen P. Nguyen, Minasadat Attari, Ramakrishna Surya, Filiz Bunyak, Matthew R. Maschmann, Kannappan Palaniappan, Prasad Calyam
Learning-based Image Analytics in User-AI Agent Interactions for Cyber-enabled Manufacturing. ICHMS (2024)
Kaveh Safavigerdini, Ramakrishna Surya, Andrew Reinhard, Zach Quinlan, Filiz Bunyak, Matthew R. Maschmann, Kannappan Palaniappan
Creating semi-Quanta multi-layer synthetic CNT images using CycleGAN. AIPR (2023)
Kaveh Safavigerdini, Koundinya Nouduri, Ramakrishna Surya, Andrew Reinhard, Zach Quinlan, Filiz Bunyak, Matthew R. Maschmann, Kannappan Palaniappan
Predicting Mechanical Properties of Carbon Nanotube (CNT) Images Using Multi-Layer Synthetic Finite Element Model Simulations. ICIP (2023)
Nguyen P. Nguyen, Ramakrishna Surya, Prasad Calyam, Kannappan Palaniappan, Matthew R. Maschmann, Filiz Bunyak
CNT-NeRF: Carbon Nanotube Forest Depth Layer Decomposition in SEM Imagery using Generative Adversarial Networks. CVPR Workshops (2023)
Kaveh Safavigerdini, Koundinya Nouduri, Ramakrishna Surya, Andrew Reinhard, Zach Quinlan, Filiz Bunyak, Matthew R. Maschmann, Kannappan Palaniappan
Predicting mechanical properties of Carbon Nanotube (CNT) images Using Multi-Layer Synthetic Finite Element Model Simulations. CoRR (2023)
Nguyen P. Nguyen, Ramakrishna Surya, Matthew R. Maschmann, Prasad Calyam, Kannappan Palaniappan, Filiz Bunyak
Self-supervised Orientation-Guided Deep Network for Segmentation of Carbon Nanotubes in SEM Imagery. ECCV Workshops (8) (2022)
Ashish Pandey, Ramakrishna Surya, Matthew R. Maschmann, Prasad Calyam
Reinforcement Learning based Carbon Nanotube Growth Automation. AIPR (2021)
Taher Hajilounezhad, Zakariya A. Oraibi, Ramakrishna Surya, Filiz Bunyak, Matthew R. Maschmann, Prasad Calyam, Kannappan Palaniappan
Exploration of Carbon Nanotube Forest Synthesis-Structure Relationships Using Physics-Based Simulation and Machine Learning. AIPR (2019)