Office of the Vice Chancellor for Research and Innovation

2024

Adaptive Machine Learning-Based Threat Intelligence in Nuclear Facilities (AML-TIN): A Framework for Enhanced Cybersecurity in Nuclear Computing Environments

Alotaibi, A. M., Ahmed, F., Puppala, S., Talukder, S. & Alam, S. B., 2024, In: Transactions of the American Nuclear Society. 130, 1, p. 258-260 3 p.

Research output: Contribution to journal › Conference article › peer-review

Bayesian Optimization for Crop Genetics with Scalable Probabilistic Models

Azam, R., Truong, S. T., Fernandes, S. B., Leakey, A., Lipka, A. E., El-Kebir, M. & Koyejo, S., 2024, In: Proceedings of Machine Learning Research. 253, p. 30-44 15 p.

Research output: Contribution to journal › Conference article › peer-review

Board 9: Work in Progress: Collaborative Learning to Develop Laboratory Modules that Support Knowledge Gain and Professional Development in a Biomedical Engineering Graduate Course

Pool, M. A., Bhargava, R. & Rex Gaskins, H., Jun 23 2024, In: ASEE Annual Conference and Exposition, Conference Proceedings.

Research output: Contribution to journal › Conference article › peer-review

BOBA: Byzantine-Robust Federated Learning with Label Skewness

Bao, W., Wu, J. & He, J., 2024, In: Proceedings of Machine Learning Research. 238, p. 892-900 9 p.

Research output: Contribution to journal › Conference article › peer-review

ContextGPT: Predictive Monitoring of Nuclear Power Plant with Contextually-Informed Situational Understanding

Hossain, R. B., Ahmed, F., Alam, J., Talukder, S. & Alam, S. B., 2024, In: Transactions of the American Nuclear Society. 130, 1, p. 246-249 4 p.

Research output: Contribution to journal › Conference article › peer-review

Digital Twin Approach for Prognostic & Health Management of Nuclear Reactor Pressure Vessels

Hossain, R. B., Kobayashi, K. & Alam, S. B., 2024, In: Transactions of the American Nuclear Society. 130, 1, p. 274-277 4 p.

Research output: Contribution to journal › Conference article › peer-review

Effects of Integrating Computational Tools into an Introductory Engineering Mechanics Course

Chang, W., Ok, S. W., West, M., Hilgenfeldt, S. & Silva, M. T., Jun 23 2024, In: ASEE Annual Conference and Exposition, Conference Proceedings.

Research output: Contribution to journal › Conference article › peer-review

Enhancing OT Security in Advanced Reactors: Microsegmentation and Zero-Trust Strategies Against Emerging Cyber Threats

Kobayashi, K., Alam, M. J., Talukder, S. & Alam, S. B., 2024, In: Transactions of the American Nuclear Society. 130, 1, p. 295-298 4 p.

Research output: Contribution to journal › Conference article › peer-review

Enhancing the Cybersecurity of Advanced Nuclear Power Plants through Generative AI and Large Language Models

Hossain, R. B., Hossain, I., Talukder, S. & Alam, S. B., 2024, In: Transactions of the American Nuclear Society. 130, 1, p. 254-257 4 p.

Research output: Contribution to journal › Conference article › peer-review

FAIR AI Models in High Energy Physics

Li, H., Duarte, J., Roy, A., Zhu, R., Huerta, E. A., Diaz, D., Harris, P., Kansal, R., Katz, D. S., Kavoori, I. H., Kindratenko, V. V., Mokhtar, F., Neubauer, M., Park, S. E., Quinnan, M., Rusack, R. & Zhao, Z., May 6 2024, In: EPJ Web of Conferences. 295, 09017.

Research output: Contribution to journal › Conference article › peer-review

Open Access

Faster Maximum Inner Product Search in High Dimensions

Tiwari, M., Kang, R., Lee, J. Y., Lee, D., Piech, C., Thrun, S., Shomorony, I. & Zhang, M. J., 2024, In: Proceedings of Machine Learning Research. 235, p. 48344-48361 18 p.

Research output: Contribution to journal › Conference article › peer-review

Hierarchical Multi-Marginal Optimal Transport for Network Alignment

Zeng, Z., Du, B., Zhang, S., Xia, Y., Liu, Z. & Tong, H., Mar 25 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 15, p. 16660-16668 9 p.

Research output: Contribution to journal › Conference article › peer-review

Open Access

Integrating the PanDA Workload Management System with the Vera C. Rubin Observatory

Karavakis, E., Guan, W., Yang, Z., Maeno, T., Wenaus, T., Adelman-McCarthy, J., Megino, F. B., De, K., Dubois, R., Gower, M., Jenness, T., Klimentov, A., Korchuganova, T., Kowalik, M., Lin, F. H., Nilsson, P., Padolski, S., Yang, W. & Ye, S., May 6 2024, In: EPJ Web of Conferences. 295, 04026.

Research output: Contribution to journal › Conference article › peer-review

Open Access

Layer Collaboration in the Forward-Forward Algorithm

Lorberbom, G., Gat, I., Adi, Y., Schwing, A. & Hazan, T., Mar 25 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 13, p. 14141-14148 8 p.

Research output: Contribution to journal › Conference article › peer-review

Open Access

ML-based real-time monitoring method for nuclear systems

Kobayashi, K. & Alam, S., 2024, In: Transactions of the American Nuclear Society. 130, 1, p. 264-266 3 p.

Research output: Contribution to journal › Conference article › peer-review

Natural Language Processing for Predictive Maintenance in Nuclear Power Plant: Digital Twin Context

Hossain, R. B., Talukder, S. & Alam, S. B., 2024, In: Transactions of the American Nuclear Society. 130, 1, p. 271-273 3 p.

Research output: Contribution to journal › Conference article › peer-review

Online Distribution Learning with Local Privacy Constraints

Sima, J., Wu, C., Milenkovic, O. & Szpankowski, W., 2024, In: Proceedings of Machine Learning Research. 238, p. 460-468 9 p.

Research output: Contribution to journal › Conference article › peer-review

Optimization and Analysis of LSTM-Based Surrogate Modeling of Metallic Nuclear Fuels

Daniell, J., Kobayashi, K., Alam, S. B. & Alajo, A., 2024, In: Transactions of the American Nuclear Society. 130, 1, p. 456-459 4 p.

Research output: Contribution to journal › Conference article › peer-review

Piecewise-Linear Manifolds for Deep Metric Learning

Bhatnagar, S. & Ahuja, N., 2024, In: Proceedings of Machine Learning Research. 234, p. 269-281 13 p.

Research output: Contribution to journal › Conference article › peer-review

RAIV: Researchable Archives for Interactive Visualizations

Price, H., Duggan, J., Sisneros, R., Hobson, T., Hammer, J., Osborne, J. & Huang, J., 2024, In: IS and T International Symposium on Electronic Imaging Science and Technology. 36, 1, 362.

Research output: Contribution to journal › Conference article › peer-review

Open Access

Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains

Zhang, Y., Zhang, Y., Shen, Y., Deng, Y., Popa, L., Shwartz, L., Zhai, C. X. & Han, J., Mar 25 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 17, p. 19606-19614 9 p.

Research output: Contribution to journal › Conference article › peer-review

Open Access

Software Citation in HEP: Current State and Recommendations for the Future

Feickert, M., Katz, D. S., Neubauer, M. S., Sexton-Kennedy, E. & Stewart, G. A., May 6 2024, In: EPJ Web of Conferences. 295, 08017.

Research output: Contribution to journal › Conference article › peer-review

Open Access

Spectrum Extraction and Clipping for Implicitly Linear Layers

Boroojeny, A. E., Telgarsky, M. & Sundaram, H., 2024, In: Proceedings of Machine Learning Research. 238, p. 2971-2979 9 p.

Research output: Contribution to journal › Conference article › peer-review

STERLING: Synergistic Representation Learning on Bipartite Graphs

Jing, B., Yan, Y., Ding, K., Park, C., Zhu, Y., Liu, H. & Tong, H., Mar 25 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 12, p. 12976-12984 9 p.

Research output: Contribution to journal › Conference article › peer-review

Open Access

The Influence of Personal Experience and Identity on Design: Teaching Positionality to Engineers

Lawson-Bulten, E., Lindgren, S. & Witmer, A. P., Jun 23 2024, In: ASEE Annual Conference and Exposition, Conference Proceedings.

Research output: Contribution to journal › Conference article › peer-review

Open Access

Think Before You Duel: Understanding Complexities of Preference Learning under Constrained Resources

Deb, R., Saha, A. & Banerjee, A., 2024, In: Proceedings of Machine Learning Research. 238, p. 4546-4554 9 p.

Research output: Contribution to journal › Conference article › peer-review

WIP: Exploring the Impact of Partner Assignment on Students' Decision-Making in Collaborative Design Projects

Parks, T. T., Bretl, T. & Pagano, A., Jun 23 2024, In: ASEE Annual Conference and Exposition, Conference Proceedings.

Research output: Contribution to journal › Conference article › peer-review

WLCG Transition from X.509 to Tokens Status, Plans, and Timeline

representing the WLCG Authorization WG, May 6 2024, In: EPJ Web of Conferences. 295, 04054.

Research output: Contribution to journal › Conference article › peer-review

Open Access

2023

A Banal Account of a Safety-Creativity Tradeoff in Generative AI

Varshney, K. R. & Varshney, L. R., 2023, In: CEUR Workshop Proceedings. 3359, p. 163-165 3 p.

Research output: Contribution to journal › Conference article › peer-review

Accelerating the Inference of the Exa.TrkX Pipeline

Lazar, A., Ju, X., Murnane, D., Calafiura, P., Farrell, S., Xu, Y., Spiropulu, M., Vlimant, J. R., Cerati, G., Gray, L., Klijnsma, T., Kowalkowski, J., Atkinson, M., Neubauer, M., DeZoort, G., Thais, S., Hsu, S. C., Aurisano, A., Hewes, J. & Ballow, A. & 4 others, Acharya, N., Wang, C. Y., Liu, E. & Lucas, A., 2023, In: Journal of Physics: Conference Series. 2438, 1, 012008.

Research output: Contribution to journal › Conference article › peer-review

Open Access

Adaptive Power Method: Eigenvector Estimation from Sampled Data

Shin, S., Zhao, H. & Shomorony, I., 2023, In: Proceedings of Machine Learning Research. 201, p. 1387-1410 24 p.

Research output: Contribution to journal › Conference article › peer-review

Adaptive Test-Time Personalization for Federated Learning

Bao, W., Wei, T., Wang, H. & He, J., 2023, In: Advances in Neural Information Processing Systems. 36

Research output: Contribution to journal › Conference article › peer-review

A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots

Chang, P., Liu, S., Ji, T., Chakraborty, N., Hong, K. & Driggs-Campbell, K., 2023, In: Proceedings of Machine Learning Research. 229

Research output: Contribution to journal › Conference article › peer-review

Advancing the design of trustworthy robots for older adults in home environments: A participatory design approach

Olatunji, S. A., Nguyen, V., Cao, Y., Evans, H., Evans, J., Edsinger, A., Kemp, C. C. & Rogers, W. A., 2023, In: Proceedings of the Human Factors and Ergonomics Society. 67, 1, p. 2545-2551 7 p.

Research output: Contribution to journal › Conference article › peer-review

Adversarial AI threats on digitization of Nuclear Power Plants

Gupta, K. D., Talukder, S. & Alam, S. B., 2023, In: Transactions of the American Nuclear Society. 129, p. 328-330 3 p.

Research output: Contribution to journal › Conference article › peer-review

Alignment between student epistemological views and experiences with course structures in introductory physics: A case study

Ouellette, E., Lewsirirat, S., Sebastian, R. B., Lundsgaard, M., Krist, C. & Kuo, E., 2023, In: Physics Education Research Conference Proceedings. p. 260-265 6 p.

Research output: Contribution to journal › Conference article › peer-review

Open Access

A participatory design project to evaluate benefits and workload costs for a domestic assistive robot

Olatunji, S. A., Nguyen, V., Evans, H., Evans, J., Garverick, A., Cakmak, M., Edsinger, A., Kemp, C. C. & Rogers, W. A., Mar 2023, In: Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care. 12, 1, p. 11-11

Research output: Contribution to journal › Conference article › peer-review

Application of Multi-fidelity Modeling using Neural Network to Nuclear Materials

Kobayashi, K., Daniell, J., Usman, S., Islam, M. S. & Alam, S., 2023, In: Transactions of the American Nuclear Society. 128, p. 274-277 4 p.

Research output: Contribution to journal › Conference article › peer-review

ARCH-COMP23 Category Report: Continuous and Hybrid Systems with Linear Continuous Dynamics

Althoff, M., Forets, M., Li, Y., Mitra, S., Schilling, C., Wetzlinger, M. & Zhuang, D., 2023, In: EPiC Series in Computing. 96, p. 34-60 27 p.

Research output: Contribution to journal › Conference article › peer-review

Open Access

ARCH-COMP23 Category Report: Continuous and Hybrid Systems with Nonlinear Dynamics

Geretti, L., dit Sandretto, J. A., Althoff, M., Benet, L., Collins, P., Forets, M., Ivanova, E., Li, Y., Mitra, S., Mitsch, S., Schilling, C., Wetzlinger, M. & Zhuang, D., 2023, In: EPiC Series in Computing. 96, p. 61-83 23 p.

Research output: Contribution to journal › Conference article › peer-review

Open Access

BeMap: Balanced Message Passing for Fair Graph Neural Network

Lin, X., Kang, J., Cong, W. & Tong, H., 2023, In: Proceedings of Machine Learning Research. 231, p. 371-3725 3355 p.

Research output: Contribution to journal › Conference article › peer-review

Board 249: Developing and Creating Affective Knowledge Spaces for Teachers as Advocates for Social Justice

Strong-Nasabal, S. L., Hebert, L., Pollock, M. C., Goddard, L. & Rosu, L. M., Jun 25 2023, In: ASEE Annual Conference and Exposition, Conference Proceedings.

Research output: Contribution to journal › Conference article › peer-review

Board 263: Elective Track Choice and Career Attitudes in Engineering Undergraduate Education: Antecedents, Gender Differences, and Implications

Cardador, T., Jensen, K., Lopez-Alvarez, G., Miller, I., Chiou, H., Kunze, A. J. & Kim, S., Jun 25 2023, In: ASEE Annual Conference and Exposition, Conference Proceedings.

Research output: Contribution to journal › Conference article › peer-review

Bridging the Gap Between Designers and Users: Co-designing Health-Related Voice User Interface Experiences with Older Adults

Lundy, M., Apurva Desai, S. & Chin, J., 2023, In: Proceedings of the ALISE Annual Conference.

Research output: Contribution to journal › Conference article › peer-review

Open Access

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs

Li, J., Hui, B., Qu, G., Yang, J., Li, B., Li, B., Wang, B., Qin, B., Geng, R., Huo, N., Zhou, X., Ma, C., Li, G., Chang, K. C. C., Huang, F., Cheng, R. & Li, Y., 2023, In: Advances in Neural Information Processing Systems. 36

Research output: Contribution to journal › Conference article › peer-review

Office of the Vice Chancellor for Research and Innovation

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