Fluorescence-based temperature sensor for in-situ imaging local temperature of aluminum nanoparticles on plasmonic gratings. - Biyan Chen; Haisheng Zheng; Junsang Yoon; Sangho Bok; Cherian Mathai; Keshab Gangopadhyay; Shubhra Gangopadhyay; Matthew R. Maschmann (IEEE SENSORS, 2016)

Single-molecule Imaging of Metallic Nanostructures on a Plasmonic Metal Grating Superlens. - Biyan Chen; Aaron Wood; Charles M. Darr; Sangho Bok; Keshab Gangopadhyay; Jacob A. McFarland; Matthew R. Maschmann; Shubhra Gangopadhyay (BIBM, 2018)

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 (AIPR, 2019)

Aiding Material Design Through Machine Learning. - Stanton R. Price; Christina H. Young; Matthew R. Maschmann; Steven R. Price (AIPR, 2020)

Reinforcement Learning based Carbon Nanotube Growth Automation. - Ashish Pandey; Ramakrishna Surya; Matthew R. Maschmann; Prasad Calyam (AIPR, 2021)

Surface Plasmon Enhanced Fluorescence Temperature Mapping of Aluminum Nanoparticle Heated by Laser. - Naadaa Zakiyyan; Charles M. Darr; Biyan Chen; Cherian Mathai; Keshab Gangopadhyay; Jacob A. McFarland; Shubhra Gangopadhyay; Matthew R. Maschmann (Sensors, 2021)

Remote Instrumentation Science Environment for Intelligent Image Analytics. - Mauro Lemus Alarcon; Songjie Wang; Nguyen P. Nguyen; Ashish Pandey; Filiz Bunyak; Matthew R. Maschmann; Kannappan Palaniappan; Prasad Calyam (e-Science, 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 (ECCV Workshops (8), 2022)

Towards Automated Nanoenergetic Reaction Characterization with Computational Vision. - Timothy B. Gaines; J. Alex Hurt; James M. Keller; Grant J. Scott; Camden I. Boyle; Matthew R. Maschmann; Stanton R. Price (AIPR, 2023)

Deep Style Transfer for Generation of Photo-realistic Synthetic Images of CNT Forests. - Prashanth Reddy Kotha; Minasadat Attari; Matthew R. Maschmann; Filiz Bunyak (AIPR, 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 (AIPR, 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 (CVPR Workshops, 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 (ICIP, 2023)

Investigating the Electromechanical Sensitivity of Carbon-Nanotube-Coated Microfibers. - Elizabeth Bellott; Yushan Li; Connor Gunter; Scott Kovaleski; Matthew R. Maschmann (Sensors, 2023)

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 (ICHMS, 2024)