Publications

2022

  • S. Zehtabian, S. Khodadadeh, L. Bölöni, and D. Turgut. Predicting infections in the Covid-19 pandemic - lessons learned. In Accepted to appear at The 6th International Workshop on Health Intelligence (W3PHIAI-22), to be held in conjunction with the 36th AAAI Conference on Artificial Intelligence (AAAI-22), March - February 2022.

2021

  • S. Zehtabian, S. Gupte, T. Kumar, S. Raghavan. A Unified Approach to Ads Relevance Prediction for Multiple Relevance Objectives. BayLearn-Machine Learning Symposium, October 2021.
  • T. J. Burns, G. Fichthorn, J. Ling, S. Zehtabian, S.S. Bacanli, L. Bölöni, and D. Turgut. Exploring the Predictability of Temperatures in a Scaled Model of a Smarthome. Sensors, 21(18), September 2021.
  • N. Mostofa, C. Feltner, K. Fullin, J. Guilbe, S. Zehtabian, S. S. Bacanli, L. Bölöni, and D. Turgut. A Smart Walker for People with Both Visual and Mobility Impairment. Sensors, 21(10), May 2021.
  • P. Orkweha, A. Downing, A. P. Lebanoff, S. Zehtabian, S. S. Bacanli, D. Turgut, and A. Dickerson. Ensemble machine learning predicts displacement of cantilevered fibers impacted by falling drops. Accepted to appear at Journal of Fluids and Structures (Elsevier), February 2021.
  • S. Khodadadeh, S. Zehtabian, S. Vahidian, W. Wang, B. Lin, and L. Bölöni . Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models. To be presented at the International Conference on Learning Representations (ICLR-2021), July 2021.
  • S. Zehtabian, S. Khodadadeh, L. Bölöni, D. Turgut. Privacy-Preserving Learning of Human Activity Predictors in Smart Environments. In Proc. of IEEE International Conference on Computer Communications (InfoCom-2021), Virtual, May 2021
  • S. Zehtabian, S. Khodadadeh, L. Bölöni, and D. Turgut. Modeling an intelligent controller for predictive caching in AR/VR-enabled home scenarios. Pervasive and Mobile Computing (PMC) Journal, January 2021

2020

  • S. Zehtabian, S. Khodadadeh, K. Kim, G. Bruder, G. F. Welch, L. Bölöni, and D. Turgut. An Automated Virtual Receptionist for Recognizing Visitors and Assuring Mask Wearing. In International Conference on Artificial Reality and Telexistence / Eurographics Symposium on Virtual Environments (ICAT-EGVE-2020), Virtual, December 2020.
  • M. Mendula, S. Khodadadeh, S. S. Bacanli, S. Zehtabian, H. U. Sheikh, L. Bölöni, D. Turgut, and P. Bellavista. Interaction and Behaviour Evaluation for Smart Homes: Data Collection and Analytics in the ScaledHome Project. In Proc. of the 23rd ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWIM-2020), Virtual, November 2020.
  • S. Zehtabian, S. Khodadadeh, L. Bölöni, and D. Turgut. Improving AR/VR experiences with deep learning. In Proc. of 1st Annual Nelms Workshop on Women in IoT (WiT-2020), Virtual, October 2020.
  • T. Burns, G. Fichthorn, S. Zehtabian, S. S. Bacanli, M. Razghandi, L. Bölöni, and D. Turgut. IoT Augmented Physical Scale Model of a Suburban Home. To be presented at the Workshop on Convergent IoT at ICC-2020, Virtual, June 2020.
  • N. Mostofa, K. Fullin, S. Zehtabian, S. S. Bacanli, L. Bölöni, and D. Turgut. IoT-Enabled Smart Mobility Devices for Aging and Rehabilitation. In accepted to be presented at IEEE ICC 2020, Virtual, June 2020.
  • S. Zehtabian, M. Razghandi, L. Bölöni, and D. Turgut. Predictive Caching for AR/VR Experiences in a Household Scenario. In Accepted to be presented at IEEE International Conference on Computing, Networking and Communications (ICNC 2020), Big Island, HI, USA, February 2020.
  • E. Elliot, N. Shanklin, S. Zehtabian, Q. Zhou, and D. Turgut. Peer-to-Peer Energy Trading and Grid Impact Study in Smart Communities. In Accepted to be presented at IEEE International Conference on Computing, Networking and Communications (ICNC 2020), Big Island, HI, USA, February 2020.

2019

2018