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ORCIDMatthew R. Maschmann
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2020 – today
- 2024
[c13]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: 1-7- 2023
- [j2]Elizabeth Bellott, Yushan Li, Connor Gunter, Scott Kovaleski
, Matthew R. Maschmann:
Investigating the Electromechanical Sensitivity of Carbon-Nanotube-Coated Microfibers. Sensors 23(11): 5190 (2023) - [c12]Timothy B. Gaines, J. Alex Hurt, James M. Keller, Grant J. Scott, Camden I. Boyle, Matthew R. Maschmann, Stanton R. Price:
Towards Automated Nanoenergetic Reaction Characterization with Computational Vision. AIPR 2023: 1-5 - [c11]Prashanth Reddy Kotha, Minasadat Attari, Matthew R. Maschmann, Filiz Bunyak:
Deep Style Transfer for Generation of Photo-realistic Synthetic Images of CNT Forests. AIPR 2023: 1-7 - [c10]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: 1-6 - [c9]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: 3428-3437 - [c8]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: 3264-3268 - [i1]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 abs/2307.07912 (2023) - 2022
- [c7]Mauro Lemus Alarcon, Songjie Wang, Nguyen P. Nguyen, Ashish Pandey, Filiz Bunyak, Matthew R. Maschmann, Kannappan Palaniappan, Prasad Calyam:
Remote Instrumentation Science Environment for Intelligent Image Analytics. e-Science 2022: 84-94 - [c6]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: 412-428 - 2021
- [j1]Naadaa Zakiyyan, Charles M. Darr, Biyan Chen, Cherian Mathai, Keshab Gangopadhyay, Jacob A. McFarland, Shubhra Gangopadhyay, Matthew R. Maschmann:
Surface Plasmon Enhanced Fluorescence Temperature Mapping of Aluminum Nanoparticle Heated by Laser. Sensors 21(5): 1585 (2021) - [c5]Ashish Pandey, Ramakrishna Surya, Matthew R. Maschmann, Prasad Calyam:
Reinforcement Learning based Carbon Nanotube Growth Automation. AIPR 2021: 1-10 - 2020
- [c4]Stanton R. Price, Christina H. Young, Matthew R. Maschmann, Steven R. Price:
Aiding Material Design Through Machine Learning. AIPR 2020: 1-5
2010 – 2019
- 2019
- [c3]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: 1-8 - 2018
- [c2]Biyan Chen, Aaron Wood, Charles M. Darr, Sangho Bok, Keshab Gangopadhyay, Jacob A. McFarland, Matthew R. Maschmann, Shubhra Gangopadhyay:
Single-molecule Imaging of Metallic Nanostructures on a Plasmonic Metal Grating Superlens. BIBM 2018: 2446-2452 - 2016
- [c1]Biyan Chen, Haisheng Zheng, Junsang Yoon, Sangho Bok, Cherian Mathai, Keshab Gangopadhyay, Shubhra Gangopadhyay, Matthew R. Maschmann:
Fluorescence-based temperature sensor for in-situ imaging local temperature of aluminum nanoparticles on plasmonic gratings. IEEE SENSORS 2016: 1-3
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