Matthew R. Maschmann

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 16

Top Topics

Mechanical Properties

Fluorescence Microscopy

Carbon Nanotubes

Top Venues

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)
Elizabeth Bellott, Yushan Li, Connor Gunter, Scott Kovaleski, Matthew R. Maschmann
Investigating the Electromechanical Sensitivity of Carbon-Nanotube-Coated Microfibers. Sensors 23 (11) (2023)
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)
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)
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)
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)
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)
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)
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) (2021)
Ashish Pandey, Ramakrishna Surya, Matthew R. Maschmann, Prasad Calyam
Reinforcement Learning based Carbon Nanotube Growth Automation. AIPR (2021)
Stanton R. Price, Christina H. Young, Matthew R. Maschmann, Steven R. Price
Aiding Material Design Through Machine Learning. AIPR (2020)
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)
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)
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)