Publications

This is the most updated place to find all of my publications, but you can also check my publications at Google Scholar.

Conferences:

[4] P. Sarkar, A. Etemad, "CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis of ECG from PPG", AAAI Conference on Artificial Intelligence, (AAAI), 2021. *Virtual*

[3] P. Sarkar, A. Etemad, "Self-supervised Learning for ECG-based Emotion Recognition", IEEE International Conference on Acoustics, Speech, and Signal Processing, (ICASSP), 2020. *Oral (Virtual)*

[2] P. Sarkar, K. Ross, A. Ruberto, D. Rodenburg, P. Hungler, A. Etemad, "Classification of Cognitive Load and Expertise for Adaptive Simulation using Deep Multitask Learning ", IEEE Affective Computing and Intelligent Interaction, (ACII), 2019. *Oral*

[1] P. Sarkar, V. Davoodnia, A. Etemad, "Computer-Aided Diagnosis using Class-Weighted Deep Neural Networks'', IEEE International Conference on Machine Learning and Applications, (ICMLA), 2019.

Journals:

[4] P. Sarkar, S. Lobmaier, B. Fabre, G. Berg, A. Mueller, M. G. Frasch, M. C. Antonelli, A. Etemad, "Detection of Maternal and Fetal Stress from ECG with Self-supervised Representation Learning", arXiv:2011.02000, 2020.

[3] P. Sarkar, A. Etemad, "Self-supervised ECG Representation Learning for Emotion Recognition", IEEE Transactions on Affective Computing, (TAFFC), 2020.

[2] A. Ruberto, D. Rodenburg, K. Ross, P. Sarkar, P. Hungler, A. Etemad, D. Howes, D. Clarke, J. McLellan, D. Wilson, A. Szulewski, "The Future of Simulation-based Medical Education: Adaptive Simulation Utilizing a Deep Multitask Neural Network ", AEM Education and Training (AEMET), 2021.

[1] K. Ross, P. Sarkar, D. Rodenburg, A. Ruberto, P. Hungler, D. Howes, A. Szulewski, A. Etemad, "Toward Dynamically Adaptive Simulation: Multimodal Classification of User Expertise using Wearable Devices ", Sensors, 2019.

Patents:

[1] P. Sarkar, A. Etemad, “Title withheld”, US Patent Application, 63/085,394, 2020.

Theses:

[1] "Self-supervised ECG Representation Learning for Affective Computing", Queen's University, 2020. [M.A.Sc.]

Talks/Presentations

[1] "A Deep Learning Approach for AR-based Adaptive Simulation using Wearables", FEAS Research Symposium at Queen's University, Canada, 2019.

Project Reports

[4] V. Davoodnia, P. Sarkar, A. Hajavi, S. Madelat, "EMG signal analysis to estimate weights utilizing deep learning", Queen's University, 2019.

[3] P. Sarkar, "A web application to detect breast cancer using machine learning", Queen's University, 2018.

[2] P. Sarkar, "Security issues in cluster and clouds", Queen's University, 2018.

[1] N. Radford, P. Sarkar, S. Majumder, R. Kaur, M. Zhou, I. Arora, "Roll a ball, ray tracer", Queen's University, 2018.