Fast Startup of LC VCOs Using Circuit Asymmetries. - Joshua H. Kim; Ali Tazarv; Michael M. Green (IEEE Trans. Circuits Syst. II Express Briefs, 2017)

A Deep Learning Approach to Predict Blood Pressure from PPG Signals. - Ali Tazarv; Marco Levorato (EMBC, 2021)

Personalized Stress Monitoring using Wearable Sensors in Everyday Settings. - Ali Tazarv; Sina Labbaf; Stephanie M. Reich; Nikil D. Dutt; Amir M. Rahmani; Marco Levorato (EMBC, 2021)

Data Collection and Labeling of Real-Time IoT-Enabled Bio-Signals in Everyday Settings for Mental Health Improvement. - Ali Tazarv; Sina Labbaf; Amir M. Rahmani; Nikil D. Dutt; Marco Levorato (GoodIT, 2021)

ParsiNLU: A Suite of Language Understanding Challenges for Persian. - Daniel Khashabi; Arman Cohan; Siamak Shakeri; Pedram Hosseini; Pouya Pezeshkpour; Malihe Alikhani; Moin Aminnaseri; Marzieh Bitaab; Faeze Brahman; Sarik Ghazarian; Mozhdeh Gheini; Arman Kabiri; et al. (Trans. Assoc. Comput. Linguistics, 2021)

Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings. - Ali Tazarv; Sina Labbaf; Amir-Mohammad Rahmani; Nikil D. Dutt; Marco Levorato (CHASE, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Enhancing Performance and User Engagement in Everyday Stress Monitoring: A Context-Aware Active Reinforcement Learning Approach. - Seyed Amir Hossein Aqajari; Ziyu Wang; Ali Tazarv; Sina Labbaf; Salar Jafarlou; Brenda Nguyen; Nikil D. Dutt; Marco Levorato; Amir M. Rahmani (CoRR, 2024)