Pritam Sarkar, Ali Etemad, "Self-supervised Audio-Visual Representation Learning with Relaxed Temporal Synchronicity", arxiv:2111.05329, 2021.
 Rachel Phinnemore, Gabriele Cimolino, Pritam Sarkar, Ali Etemad, T.C. Nicholas Graham, "Happy Driver: Investigating the Effect of Mood on Preferred Style of Driving in Self-Driving Cars", International Conference on Human-Agent Interaction, (HAI), 2021. *Virtual*
 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*
 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)*
 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*
 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.
 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.
 P. Sarkar, A. Etemad, "Self-supervised ECG Representation Learning for Emotion Recognition", IEEE Transactions on Affective Computing, (TAFFC), 2020.
 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.
 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.
 P. Sarkar, A. Etemad, “Title withheld”, US Patent Application, 63/085,394, 2020.
 "Toward Wearables of the Future: Affordable Acquisition of Continuous ECG with Deep Learning", Robotics and AI Symposium at Ingunity Labs, Canada, 2021. *Best Poster Award*
 "A Deep Learning Approach for AR-based Adaptive Simulation using Wearables", FEAS Research Symposium at Queen's University, Canada, 2019.
 "Self-supervised ECG Representation Learning for Affective Computing", Queen's University, 2020. [M.A.Sc.]