Publications

Transforming Pain Medicine: The Power of Collaboration, Entrepreneurship, and Innovation

Published in Pain Medicine, 2025

A perspective article on the importance of interdisciplinary collaborations, entrepreneurship, and innovative therapies for better pain management.

Recommended citation: Hirani, S., Vu, P., Halac, M., Bohacek, S., Benkli, B., Jevotovsky, D., Vega, J., Hirani, A., Orhurhu, V., Odonkor, C., Ehrenfeld, J., Shadid, I., Azadian, A., Mayrsohn, B., Kwon, A., Hirani, Z., Osuagwu, U., Bird, J., Gilligan, C., … Srinivasan, S. (2025). Transforming pain medicine: the power of collaboration, entrepreneurship, and innovation. Pain Medicine (Malden, Mass.), 26(5), 231–236. https://doi.org/10.1093/pm/pnae130
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Multiscale Voxel Based Decoding For Enhanced Natural Image Reconstruction From Brain Activity

Published in 2022 International Joint Conference on Neural Networks (IJCNN), 2022

What does fMRI tell us about the visual information content of the brain? Can we decode what people are looking at by analyzing their brain activation patterns? Read more to learn more 🤓

Recommended citation: Halac, M., Isik, M., Ayaz, H., & Das, A. (2022). Multiscale Voxel Based Decoding For Enhanced Natural Image Reconstruction From Brain Activity. Proceedings of ... International Joint Conference on Neural Networks, 1–7. https://doi.org/10.1109/IJCNN55064.2022.9892430
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Incremental and Semi-Supervised Learning of 16S-rRNA Genes For Taxonomic Classification

Published in 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2022

Recommended citation: Ozdogan, E., Sabin, N. C., Gracie, T., Portley, S., Halac, M., Coard, T., Trimble, W., Sokhansanj, B., Rosen, G., & Polikar, R. (2021). Incremental and Semi-Supervised Learning of 16S-rRNA Genes For Taxonomic Classification. 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1–7. https://doi.org/10.1109/SSCI50451.2021.9660093
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Incremental & Semi-Supervised Learning for Functional Analysis of Protein Sequences

Published in 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2022

Recommended citation: Halac, M., Sokhansanj, B., Trimble, W. L., Coard, T., Sabin, N. C., Ozdogan, E., Polikar, R., & Rosen, G. L. (2021). Incremental & Semi-Supervised Learning for Functional Analysis of Protein Sequences. 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 01–08. https://doi.org/10.1109/SSCI50451.2021.9659958
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Augmented Reality Integrated Brain Computer Interface for Smart Home Control

Published in Advances in Neuroergonomics and Cognitive Engineering, 2021

An EEG-based brain computer interface (BCI) system for smart home control integrated with augmented reality goggles and virtual assistants.

Recommended citation: Sahal, M., Dryden, E., Halac, M., Feldman, S., Heiman-Patterson, T., Ayaz, H., Paletta, L., & Asgher, U. (2021). Augmented Reality Integrated Brain Computer Interface for Smart Home Control. In Advances in Neuroergonomics and Cognitive Engineering (Vol. 259, pp. 89–97). Springer International Publishing AG. https://doi.org/10.1007/978-3-030-80285-1_11
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Nerve Identification and Manipulation Tool enables blind percutaneous nerve localization and intervention.

Published in 70th Annual Meeting of Plastic Surgery Research Council, 2025

Recommended citation: Srinivasan, S., Halac, M., Madinger, A., Liu, A., Tereshenko, V., McCormack, M. M., Austen, W. G., Jr., Gfrerer, L., & Kochheiser, M. (n.d.). Nerve Identification and Manipulation Tool enables blind percutaneous nerve localization and intervention. 70th Annual Meeting of Plastic Surgery Research Council (PSRC).
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Deep Neural Network Modeling Using CNN and BiLSTM for Online Passive EEG Brain-Computer Interface to Classify Mental Workload

Published in 2021 Neuroergonomics Conference, 2021

Recommended citation: M. De Lorenzo, M. Halac, S. Sivakumar, H. Ayaz, ”Deep Neural Network Modeling Using CNN and BiLSTM for Online Passive EEG Brain-Computer Interface to Classify Mental Workload,” 2021 Neuroergonomics Conference, 2021
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Functional Protein Structure Annotation Using a Deep Convolutional Generative Adversarial Network

Published in arXiv, 2021

Recommended citation: Moyer, E., Winchell, J., Isozaki, I., Alparslan, Y., Halac, M., & Kim, E. (2021). Functional Protein Structure Annotation Using a Deep Convolutional Generative Adversarial Network. https://doi.org/10.48550/arxiv.2104.08969
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Partitiviral satellite RNA amplification systems for plants

Published in , 2024

This is from my work at Flagship Labs (FL) 70 now called Terrana Biosciences.

Recommended citation: GLOUZON, J.-P. B. S., SHARPE, M. G., MARTIN, B. A., KUMAR, J., ROTHENHEBER, D. T., LATOURRETTE, K. M., WARSABA, R. E. W., HAO, Y., SUBEDI, A., DENNIS, E. J. A., BLUMSACK, D. G., PANT, S. R., TRAN, P. T., CHAMNESS, J. C., CHU, F. C., KREMER, J. M., HALAC, M. A., ZHAO, K., KHAKHAR, A. D., … KLICKI, K. (2024). PARTITIVIRAL SATELLITE RNA AMPLIFICATION SYSTEMS FOR PLANTS.
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Endornaviral satellite RNA amplification systems for plants

Published in , 2024

This is from my work at Flagship Labs (FL) 70 now called Terrana Biosciences.

Recommended citation: GLOUZON, J.-P. B. S., SHARPE, M. G., MARTIN, B. A., KUMAR, J., ROTHENHEBER, D. T., LATOURRETTE, K. M., WARSABA, R. E. W., HAO, Y., SUBEDI, A., DENNIS, E. J. A., BLUMSACK, D. G., PANT, S. R., TRAN, P. T., CHU, F. C., KREMER, J. M., HALAC, M. A., ZHAO, K., KHAKHAR, A. D., VICHYAVICHIEN, P., … KLICKI, K. (2024). ENDORNAVIRAL SATELLITE RNA AMPLIFICATION SYSTEMS FOR PLANTS.
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