UCI IASL

Intelligent and Autonomous Systems Lab

Intelligent and Autonomous Systems Lab

Computer Science Department, Donald Bren School of Information and Computer Sciences, University of California, Irvine

Ali Tazarv

Ph.D. Candidate (Electrical Engineering and Computer Science)

Research Interests:

  • Health Data Monitoring and Tracking
  • Machine Learning and Deep Learning
  • Active Learning and Reinforcement Learning
  • Recommender Systems

Email: atazarv@uci.edu

Education:

  • 2015- Now – M.Sc. and Ph.D. in Electrical Engineering and Computer Science, University of California, Irvine, USA.
  • 2010-2015 – B.Sc. in Electrical Engineering, Electronics, and minor in Physics, Sharif University of Technology.

Publications:

  1. A. Tazarv, S. Labbaf, S. M. Reich, N. Dutt, A. M. Rahmani and M. Levorato, “Personalized Stress Monitoring using Wearable Sensors in Everyday Settings,” 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021. [IEEEXplore] [preprint].
  2. A. Tazarv and M. Levorato, “A Deep Learning Approach to Predict Blood Pressure from PPG Signals,” 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021. [IEEEXplore] [preprint].
  3. Ali Tazarv, Sina Labbaf, Amir M. Rahmani, Nikil Dutt, and Marco Levorato. Data Collection and Labeling of Real-Time IoT-Enabled Bio-Signals in Everyday Settings for Mental Health Improvement. In Proceedings of the Conference on Information Technology for Social Good (GoodIT ’21). Association for Computing Machinery, New York, NY, USA (2021). [ACM Digital Library] [preprint].
  4. Daniel Khashabi, et al.; ParsiNLU: A Suite of Language Understanding Challenges for Persian. Transactions of the Association for Computational Linguistics 2021; 9 1147–1162. [MIT Press Direct] [preprint].