About Me
I am Arash Nasr Esfahani, a Master’s student in Computer Science at the University of Tehran, specializing in Artificial Intelligence.
I enjoy discovering patterns in human and machine behavior to develop insights that can meaningfully impact people's daily lives. My primary research interests include Human-Computer Interaction (HCI), Human-Robot Interaction (HRI), and Machine Learning. I am part of the Human and Robot Interaction Lab at the University of Tehran, directed by Prof. M. Tale Masouleh, where I have been conducting research for the past two years. Within our group’s work on robotic scene rearrangement, my focus has been on understanding how interaction with an environment can serve as a step toward interpreting and effectively rearranging it.
I was also part of the University of Tehran’s team for the SHL 2025 Challenge, supervised by Prof. B. Babaali. In this project, we explored the application of time-series foundation models for Human Activity Recognition, which resulted in a paper accepted to UbiComp 2025.
Publications
Ensemble of Foundation Models for Sensor-Based Locomotion and Transportation Mode Recognition
Accepted in UbiComp 2025: ACM International Joint Conference on Pervasive and Ubiquitous Computing
AI-Driven Relocation Tracking in Dynamic Kitchen Environments
Published in ICCKE 2024: 14th International Conference on Computer and Knowledge Engineering
Embodied AI for Kitchen Scene Rearrangement: A Deep Spatio-Temporal Approach
Manuscript submitted to peer-reviewed journals
Research Experience
Researcher, The Human and Robot Interaction Lab (TaarLab)
University of Tehran | Sep 2023 – Present
Led a project on robotic scene rearrangement in dynamic environments using the AI2-THOR simulator, developing methods integrating deep learning models for object detection and temporal frame analysis.
Researcher, School of Math, Statistics, and Computer Science
University of Tehran | Apr 2025 – Jul 2025
Collaborated in a five-person team under Prof. B. Babaali for the SHL 2025 Human Activity Recognition Challenge, where our team earned 1st place at the HASCA Workshop, UbiComp 2025, by applying time series foundation models and advanced data analysis techniques.
Teaching Experience
Teaching Assistant, Database Management Systems
University of Tehran | Oct 2023 – Jan 2024
Contributed to developing course materials and supervised student projects, providing guidance on database design principles.