Scholars@Duke

• Background
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  Education, Training, & Certifications

  • Ph.D., Duke University 2016
• Expertise
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  Subject Headings

  • Brain-Computer Interfaces
  • Cochlear Implants
  • Left Ventricular Assist Devices
  • Machine learning
• Research
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  Selected Grants

  • Closed-Loop Stimulus Optimisation to Increase Communication Efficiency in Brain-Computer Interfaces awarded by National Institutes of Health 2020 - 2022
  • Using Machine Learning to Mitigate Reverberation Effects in Cochlear Implants awarded by National Institutes of Health 2015 - 2021
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  Fellowships, Supported Research, & Other Grants

  • Microsoft Research Faculty Fellowship awarded by Microsoft 2021 - 2023
• Publications & Artistic Works
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  Selected Publications

  • Academic Articles

    • Chen, Xinlin J., Emma T. LaPorte, Cameron Olsen, Leslie M. Collins, Priyesh Patel, Ravi Karra, and Boyla O. Mainsah. “Heart Sound Analysis in Individuals Supported With Left Ventricular Assist Devices.” Ieee Trans Biomed Eng 68, no. 10 (October 2021): 3009–18. https://doi.org/10.1109/TBME.2021.3060718.
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    • Liu, Sicong, Jillian M. Clements, Elayna P. Kirsch, Hrishikesh M. Rao, David J. Zielinski, Yvonne Lu, Boyla O. Mainsah, et al. “Psychophysiological Markers of Performance and Learning during Simulated Marksmanship in Immersive Virtual Reality.” Journal of Cognitive Neuroscience 33, no. 7 (June 2021): 1253–70. https://doi.org/10.1162/jocn_a_01713.
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    • Mainsah, Boyla O., Priyesh A. Patel, Xinlin J. Chen, Cameron Olsen, Leslie M. Collins, and Ravi Karra. “Novel Acoustic Biomarker of Quality of Life in Left Ventricular Assist Device Recipients.” J Am Heart Assoc 10, no. 6 (March 16, 2021): e018588. https://doi.org/10.1161/JAHA.120.018588.
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    • Patel, Priyesh, Boyla Mainsah, Carmelo A. Milano, Douglas P. Nowacek, Leslie Collins, and Ravi Karra. “Acoustic Signatures of Left Ventricular Assist Device Thrombosis.” Journal of Engineering and Science in Medical Diagnostics and Therapy 2, no. 2 (May 1, 2019). https://doi.org/10.1115/1.4041529.
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    • Mainsah, B. O., G. Reeves, L. M. Collins, and C. S. Throckmorton. “Optimizing the stimulus presentation paradigm design for the P300-based brain-computer interface using performance prediction.” Journal of Neural Engineering 14, no. 4 (August 2017): 046025. https://doi.org/10.1088/1741-2552/aa7525.
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    • Mainsah, B. O., L. M. Collins, and C. S. Throckmorton. “Using the detectability index to predict P300 speller performance.” Journal of Neural Engineering 13, no. 6 (December 2016): 066007. https://doi.org/10.1088/1741-2560/13/6/066007.
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    • Mainsah, Boyla O., Kenneth D. Morton, Leslie M. Collins, Eric W. Sellers, and Chandra S. Throckmorton. “Moving Away From Error-Related Potentials to Achieve Spelling Correction in P300 Spellers.” Ieee Transactions on Neural Systems and Rehabilitation Engineering : A Publication of the Ieee Engineering in Medicine and Biology Society 23, no. 5 (September 2015): 737–43. https://doi.org/10.1109/tnsre.2014.2374471.
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    • Mainsah, B. O., L. M. Collins, K. A. Colwell, E. W. Sellers, D. B. Ryan, K. Caves, and C. S. Throckmorton. “Increasing BCI communication rates with dynamic stopping towards more practical use: an ALS study.” J Neural Eng 12, no. 1 (February 2015): 016013. https://doi.org/10.1088/1741-2560/12/1/016013.
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    • Mainsah, Boyla O., Kenneth A. Colwell, Leslie M. Collins, and Chandra S. Throckmorton. “Utilizing a language model to improve online dynamic data collection in P300 spellers.” Ieee Transactions on Neural Systems and Rehabilitation Engineering : A Publication of the Ieee Engineering in Medicine and Biology Society 22, no. 4 (July 2014): 837–46. https://doi.org/10.1109/tnsre.2014.2321290.
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  • Conference Papers

    • Chu, K., L. Collins, and B. Mainsah. “A causal deep learning framework for classifying phonemes in cochlear implants.” In Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing  Proceedings, 2021-June:6498–6502, 2021. https://doi.org/10.1109/ICASSP39728.2021.9413986.
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    • Chen, X. J., L. M. Collins, P. A. Patel, R. Karra, and B. O. Mainsah. “Heart Sound Analysis in Individuals Supported with Left Ventricular Assist Device: A First Look.” In Computing in Cardiology, Vol. 2020-September, 2020. https://doi.org/10.22489/CinC.2020.080.
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    • Chu, Kevin, Leslie Collins, and Boyla Mainsah. “USING AUTOMATIC SPEECH RECOGNITION AND SPEECH SYNTHESIS TO IMPROVE THE INTELLIGIBILITY OF COCHLEAR IMPLANT USERS IN REVERBERANT LISTENING ENVIRONMENTS.” In Proceedings of the ... Ieee International Conference on Acoustics, Speech, and Signal Processing. Icassp (Conference), 2020:6929–33, 2020. https://doi.org/10.1109/icassp40776.2020.9054450.
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    • Prabhudesai, K. S., L. M. Collins, and B. O. Mainsah. “Automated feature learning using deep convolutional auto-encoder neural network for clustering electroencephalograms into sleep stages.” In International Ieee/Embs Conference on Neural Engineering, Ner, 2019-March:937–40, 2019. https://doi.org/10.1109/NER.2019.8716996.
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    • Shahidi, Lidea K., Leslie M. Collins, and Boyla O. Mainsah. “Application of a Graphical Model to Investigate the Utility of Cross-channel Information for Mitigating Reverberation in Cochlear Implants.” In Proceedings of the ... International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications, 2018:847–52, 2018. https://doi.org/10.1109/icmla.2018.00136.
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    • Prabhudesai, K. S., B. O. Mainsah, L. M. Collins, and C. S. Throckmorton. “Augmented Latent Dirichlet Allocation (Lda) Topic Model with Gaussian Mixture Topics.” In Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing  Proceedings, 2018-April:2451–55, 2018. https://doi.org/10.1109/ICASSP.2018.8462003.
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    • Clements, J. M., R. Kopper, D. J. Zielinski, H. Rao, M. A. Sommer, E. Kirsch, B. O. Mainsah, L. M. Collins, and L. G. Appelbaum. “Neurophysiology of Visual-Motor Learning during a Simulated Marksmanship Task in Immersive Virtual Reality.” In 25th Ieee Conference on Virtual Reality and 3d User Interfaces, Vr 2018  Proceedings, 451–58, 2018. https://doi.org/10.1109/VR.2018.8446068.
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    • Chu, Kevin M., Chandra S. Throckmorton, Leslie M. Collins, and Boyla O. Mainsah. “USING MACHINE LEARNING TO MITIGATE THE EFFECTS OF REVERBERATION AND NOISE IN COCHLEAR IMPLANTS.” In Proceedings of Meetings on Acoustics. Acoustical Society of America, Vol. 33, 2018. https://doi.org/10.1121/2.0000905.
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    • Mainsah, B. O., D. Kalika, L. M. Collins, S. Liu, and C. S. Throckmorton. “Information-based adaptive stimulus selection to optimize communication efficiency in brain-computer interfaces.” In Advances in Neural Information Processing Systems, 2018-December:4820–30, 2018.
    • Kalika, D., L. M. Collins, C. S. Throckmorton, and B. O. Mainsah. “Adaptive stimulus selection in ERP-based brain-computer interfaces by maximizing expected discrimination gain.” In 2017 Ieee International Conference on Systems, Man, and Cybernetics, Smc 2017, 2017-January:1405–10, 2017. https://doi.org/10.1109/SMC.2017.8122810.
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    • Mainsah, B. O., L. M. Collins, G. Reeves, and C. S. Throckmorton. “A performance-based approach to designing the stimulus presentation paradigm for the P300-based BCI by exploiting coding theory.” In Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing  Proceedings, 3026–30, 2017. https://doi.org/10.1109/ICASSP.2017.7952712.
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    • Mayya, V., B. Mainsah, and G. Reeves. “Information-theoretic analysis of refractory effects in the P300 speller.” In Conference Record  Asilomar Conference on Signals, Systems and Computers, 1621–25, 2017. https://doi.org/10.1109/ACSSC.2016.7869654.
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    • Mayya, V., B. Mainsah, and G. Reeves. “Modeling the P300-based brain-computer interface as a channel with memory.” In 54th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2016, 23–30, 2017. https://doi.org/10.1109/ALLERTON.2016.7852206.
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    • Mayya, V., B. Mainsah, and G. Reeves. “Information-Theoretic Analysis of Refractory Effects in the P300 Speller,” n.d.
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• Teaching & Mentoring
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  Recent Courses

  • ECE 493: Projects in Electrical and Computer Engineering 2021
  • ECE 899: Special Readings in Electrical Engineering 2021
  • EGR 393: Research Projects in Engineering 2021
  • ECE 899: Special Readings in Electrical Engineering 2020

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