Boyla Octavie Mainsah

Education

• Ph.D. Duke University, 2016

Positions

• Assistant Research Professor in the Department of Electrical and Computer Engineering

Courses Taught

• IDS 793: Independent Study
• ECE 899: Special Readings in Electrical Engineering
• ECE 493: Projects in Electrical and Computer Engineering

Publications

• Karpurapu A, Williams HA, DeBenedittis P, Baker CE, Ren S, Thomas MC, et al. Deep Learning Resolves Myovascular Dynamics in the Failing Human Heart. JACC Basic Transl Sci. 2024 May;9(5):674–86.
• Shahidi LK, Collins LM, Mainsah BO. Objective intelligibility measurement of reverberant vocoded speech for normal-hearing listeners: Towards facilitating the development of speech enhancement algorithms for cochlear implants. The Journal of the Acoustical Society of America. 2024 Mar;155(3):2151–68.
• Chu K, Collins L, Mainsah B. Suppressing reverberation in cochlear implant stimulus patterns using time-frequency masks based on phoneme groups. In: Proceedings of Meetings on Acoustics. 2022.
• Shahidi LK, Collins LM, Mainsah BO. Parameter tuning of time-frequency masking algorithms for reverberant artifact removal within the cochlear implant stimulus. Cochlear implants international. 2022 Nov;23(6):309–16.
• Chen XJ, Collins LM, Mainsah BO. Language Model-Guided Classifier Adaptation for Brain-Computer Interfaces for Communication. In: Conference proceedings IEEE International Conference on Systems, Man, and Cybernetics. 2022. p. 1642–7.
• Chen XJ, Collins LM, Mainsah BO. Mitigating the Impact of Psychophysical Effects During Adaptive Stimulus Selection in the P300 Speller Brain-Computer Interface. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual International Conference. 2021. p. 5796–9.
• Chen XJ, LaPorte ET, Olsen C, Collins LM, Patel P, Karra R, et al. Heart Sound Analysis in Individuals Supported With Left Ventricular Assist Devices. IEEE Trans Biomed Eng. 2021 Oct;68(10):3009–18.
• Liu S, Clements JM, Kirsch EP, Rao HM, Zielinski DJ, Lu Y, et al. Psychophysiological Markers of Performance and Learning during Simulated Marksmanship in Immersive Virtual Reality. J Cogn Neurosci. 2021 Jun 1;33(7):1253–70.
• Mainsah BO, Patel PA, Chen XJ, Olsen C, Collins LM, Karra R. Novel Acoustic Biomarker of Quality of Life in Left Ventricular Assist Device Recipients. J Am Heart Assoc. 2021 Mar 16;10(6):e018588.
• Chu K, Collins L, Mainsah B. A causal deep learning framework for classifying phonemes in cochlear implants. In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2021. p. 6498–502.
• Karpurapu A, Krekorian A, Tian Y, Collins LM, Karra R, Franklin AD, et al. Evaluating the effect of longitudinal dose and INR data on maintenance warfarin dose predictions. In: BHI 2021 - 2021 IEEE EMBS International Conference on Biomedical and Health Informatics, Proceedings. 2021.
• Chen XJ, Collins LM, Patel PA, Karra R, Mainsah BO. Heart Sound Analysis in Individuals Supported with Left Ventricular Assist Device: A First Look. In: Computing in Cardiology. 2020.
• Chu K, Collins L, Mainsah B. 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. p. 6929–33.
• Prabhudesai KS, Collins LM, Mainsah BO. 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. p. 937–40.
• Patel P, Mainsah B, Milano CA, Nowacek DP, Collins L, Karra R. Acoustic Signatures of Left Ventricular Assist Device Thrombosis. J Eng Sci Med Diagn Ther. 2019 May;2(2):0245011–4.
• Shahidi LK, Collins LM, Mainsah BO. 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. p. 847–52.
• Prabhudesai KS, Mainsah BO, Collins LM, Throckmorton CS. Augmented Latent Dirichlet Allocation (Lda) Topic Model with Gaussian Mixture Topics. In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2018. p. 2451–5.
• Clements JM, Kopper R, Zielinski DJ, Rao H, Sommer MA, Kirsch E, et al. 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. 2018. p. 451–8.
• Chu KM, Throckmorton CS, Collins LM, Mainsah BO. USING MACHINE LEARNING TO MITIGATE THE EFFECTS OF REVERBERATION AND NOISE IN COCHLEAR IMPLANTS. In: Proceedings of meetings on acoustics Acoustical Society of America. 2018. p. 050003.
• Mainsah BO, Kalika D, Collins LM, Liu S, Throckmorton CS. Information-based adaptive stimulus selection to optimize communication efficiency in brain-computer interfaces. In: Advances in Neural Information Processing Systems. 2018. p. 4820–30.
• Mainsah BO, Collins LM, Throckmorton CS. Designing a BCI Stimulus Presentation Paradigm Using a Performance-Based Approach. In: Brain-Computer Interfaces Handbook: Technological and Theoretical Advances. 2018. p. 487–500.
• Kalika D, Collins LM, Throckmorton CS, Mainsah BO. 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. p. 1405–10.
• Mainsah BO, Reeves G, Collins LM, Throckmorton CS. Optimizing the stimulus presentation paradigm design for the P300-based brain-computer interface using performance prediction. Journal of neural engineering. 2017 Aug;14(4):046025.
• Mainsah BO, Collins LM, Reeves G, Throckmorton CS. 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. 2017. p. 3026–30.
• Mayya V, Mainsah B, Reeves G. Modeling the P300-based brain-computer interface as a channel with memory. In: 54th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2016. 2017. p. 23–30.
• Mainsah BO, Collins LM, Throckmorton CS. Using the detectability index to predict P300 speller performance. Journal of neural engineering. 2016 Dec;13(6):066007.
• Mainsah BO, Morton KD, Collins LM, Sellers EW, Throckmorton CS. 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. 2015 Sep;23(5):737–43.
• Mainsah BO, Collins LM, Colwell KA, Sellers EW, Ryan DB, Caves K, et al. Increasing BCI communication rates with dynamic stopping towards more practical use: an ALS study. J Neural Eng. 2015 Feb;12(1):016013.
• Mainsah BO, Colwell KA, Collins LM, Throckmorton CS. 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. 2014 Jul;22(4):837–46.
• Mayya V, Mainsah B, Reeves G. Information-Theoretic Analysis of Refractory Effects in the P300 Speller. In.
• Mayya V, Mainsah B. Information Theoretic Analysis of the Impact of Refractory Effects on the P300 Speller. In.