Latest News
New Journal Publication in Smart Learning Environments
"A systematic review of intelligent and robot tutoring systems: evolution, pedagogical design, and AI-driven classification" authored by Ehsan Latif, V. Liu, & X. Zhai — published in Smart Learning Environments.
International Journal of Science Education Paper Published
"Transforming science teacher education in the era of generative artificial intelligence: global perspectives" co-authored by Ehsan Latif and collaborators — published in International Journal of Science Education.
Scientific Reports Publication on OpenAI O1 Evaluation
"Comparative evaluation of OpenAI O1 and human performance in higher order cognition" authored by Ehsan Latif and collaborators — published in Scientific Reports.
AIED 2025 Best Paper Nomination
“Efficient multi-task inference: Model merging with Gromov-Wasserstein feature alignment” authored by Ehsan Latif, L. Fang, H. Lu, Y. Zhou, P. Ma, & X. Zhai — nominated for the Best Paper Award at AIED 2025.
Paper accepted at NeurIPS 2025: SketchMind
“SketchMind: A Multi-Agent Cognitive Framework for Assessing Student-Drawn Scientific Sketches” authored by Ehsan Latif, Z. Khan, & X. Zhai — accepted for presentation at NeurIPS 2025.
Paper accepted at ISAAC 2025
“Anonymous Self-Stabilising Localisation via Spatial Population Protocols” authored by Ehsan Latif, L. Gąsieniec, L. Kuszner, R. Parasuraman, P. Spirakis, & G. Stachowiak — accepted at ISAAC 2025.
Two papers published in AIED 2025
Two publications at AIED 2025: (1) “Privacy-Preserved Automated Scoring using Federated Learning for Educational Research” authored by Ehsan Latif, X. Zhai; (2) “Efficient multi-task inference: Model merging with Gromov-Wasserstein feature alignment” authored by Ehsan Latif, L. Fang, H. Lu, Y. Zhou, P. Ma, & X. Zhai.
AIED 2025: ELL Bias in Automatic Scoring
“Artificial Intelligence Bias on English Language Learners in Automatic Scoring” authored by Ehsan Latif, S. Guo, Y. Wang, J. Yu, X. Wu, B. Aykin, F. Watt, L. Liu, N. Liu, & X. Zhai — published in AIED proceedings.
AAAI 2025 Workshop Paper Published (PMLR)
“Efficient Multi-Task Inferencing with a Shared Backbone and Lightweight Task-Specific Adapters for Automatic Scoring” authored by Ehsan Latif, X. Zhai — available in PMLR.
NeurIPS 2024 Workshop Paper (PMLR)
“Gemini Pro Defeated by GPT-4V: Evidence from Education” authored by Ehsan Latif, G. Lee, L. Shi, & X. Zhai — available via PMLR.
Earned Machine Learning Specialization from Stanford University
Successfully completed the Machine Learning Specialization from Stanford University, deepening my expertise in advanced machine learning techniques and applications.
Awarded CPS Rising Star 2025 Fellowship
Received a highly competitive fellowship (<0.17% acceptance rate) to attend the NSF Cyber Physical Systems Rising Star Workshop and PI meeting to establish scholarships and networks among the CPS community.
Papers Accepted at IROS 2024
Two papers accepted at the 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS): "HGP-RL: Distributed Hierarchical Gaussian Processes for Wi-Fi-based Relative Localization in Multi-Robot Systems" and co-authored "Anchor-Oriented Localized Voronoi Partitioning for GPS-denied Multi-Robot Coverage."
Received Pioneers of Natural Sciences Laboratory Robotics Award
My work on "PhysicsAssistant" has been selected for the Pioneers of Natural Sciences Laboratory Robotics talk at ICRA 2024 Accelerating Scientific Discovery Workshop and received an award of £500, funded by the Leverhulme Research Centre for Functional Materials Design and the Acceleration Consortium.
G-SciEdBERT Model Published on Hugging Face
Our G-SciEdBERT model, a contextualized LLM for Science Assessment Tasks in German, is now available on Hugging Face. This specialized model is fine-tuned for automatic scoring of German-language science education assessments.
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