Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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EAGER: Integrating Small and Medium Sized Manufacturing Enterprises (SMEs) into the Next Generation Manufacturing Ecosystems for National Security and Self Sufficiency
Griffin, P. M. (CoPI), Madduri, K. (CoPI) & Tirupatikumara, S. R. (PI)
9/1/24 → 8/31/25
Project: Research project
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I-Corps: Artificial Intelligence (AI)-Based Sensing and Data Efficient Sampling, Transmission, Storage, Analysis and Cloud Computing
8/15/22 → 7/31/24
Project: Research project
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Investigating the Impact of Co-Learning Systems in Providing Customized, Real-Time Student Feedback
Tucker, C. S. (PI) & Tirupatikumara, S. R. (CoPI)
12/1/14 → 11/30/18
Project: Research project
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Improving quality and reducing losses in specialty fruit crops through storage technologies
Tirupatikumara, S. R. (PI), Xu, S. H. (CoPI) & Armiger, W. W. (PI)
7/1/10 → 9/30/18
Project: Research project
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SGER: Robust Optimal Real-Time Control of Multiproduct Supply Chains
Tirupatikumara, S. R. (PI), Bressan, A. (CoPI) & Lagoa, C. M. (CoPI)
8/1/08 → 7/31/10
Project: Research project
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Classification of Human Tissues from Histopathology Images Using Deep Learning Techniques
Ramanathan, A., Kantheti, T., Zhou, C., Kumara, S., Torres-Cabala, C. A. & Iyer, S. P., 2024, Proceedings of the 2024 10th International Conference on Biosignals, Images and Instrumentation, ICBSII 2024. Institute of Electrical and Electronics Engineers Inc., (Proceedings of the 2024 10th International Conference on Biosignals, Images and Instrumentation, ICBSII 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Hierarchical energy signatures using machine learning for operational visibility and diagnostics in automotive manufacturing
Verma, A., Oh, S. C., Arinez, J. & Kumara, S., Jul 2024, In: Manufacturing Letters. 40, p. 81-84 4 p.Research output: Contribution to journal › Article › peer-review
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Machine learning-assisted collection of reduced sensor data for improved analytics pipeline
Verma, A., Goyal, A. & Kumara, S., 2024, In: Procedia CIRP. 121, p. 150-155 6 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
A Graphical Representation of Sensor Mapping for Machine Tool Fault Monitoring and Prognostics for Smart Manufacturing
Hanchate, A., Dave, P. S., Verma, A., Tiwari, A., Mishra, C. S., Kumara, S. R. T., Srivastava, A., Yang, H., Narayanan, V., Sampson, J. M., Kandemir, M. T., Lee, K. H., Pugh, T. M., Jorden, A., Natarajan, G., Sagapuram, D. & Bukkapatnam, S. T. S., Jun 5 2023, In: Smart and Sustainable Manufacturing Systems. 7, 1, p. 82-110 29 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Cold sintering-enabled interface engineering of composites for solid-state batteries
Nie, B., Liu, T., Alcoutlabi, M., Basu, S., Kumara, S., Li, M., Lian, J. & Sun, H., 2023, In: Frontiers in Energy Research. 11, 1149103.Research output: Contribution to journal › Short survey › peer-review
Open Access11 Scopus citations