Sharif University of Technology
B.Sc. in Computer Engineering
GPA: 19.75 / 20 · Ranked 4th among 198 students
Selected coursework
Asal Meskin
I study Computer Engineering at Sharif University of Technology. My research interests include trustworthy AI, interpretability and faithfulness in reasoning models, machine learning for biology, and efficient machine learning.
Education
Research Interests
Interpretability and Faithfulness
Interpretability, explainability, and faithfulness in reasoning models, including applications in educational systems.
Machine Learning for Biology
Machine learning for biological data, particularly generative models and their applications to biological systems.
Trustworthy and Efficient Machine Learning
Model reliability, computational efficiency, and robust performance, with an interest in developing more reliable and efficient learning systems.
Publications
Quantifying Faithful Confidence Expression in Large Reasoning Models
Areeb Gani*, Asal Meskin*, Gabrielle Kaili-May Liu*, Arman Cohan
arXiv preprint, 2026
Eye-Q: A Multilingual Benchmark for Visual Word Puzzle Solving and Image-to-Phrase Reasoning
Ali Najar, Alireza Mirrokni, Arshia Izadyari*, Sadegh Mohammadian*, Amir Homayoon Sharifizade*, Asal Meskin*, Mobin Bagherian, Ehsaneddin Asgari
FIRE: Faithful Interpretable Recommendation Explanations
S.M.F. Sani, Asal Meskin, Mohammad Amanlou, Hamid R. Rabiee
Hydra: Dual Exponentiated Memory for Multivariate Time Series Analysis
Asal Meskin, Alireza Mirrokni, Ali Najar, Ali Behrouz
Research Experience
EPFL · Machine Learning for Biomedicine Lab (MLBIO)
Summer Research Internship
Spatial Tissue Reconstruction
Evaluated methods for reconstructing missing tissue sections, focusing on spatial structure and tissue geometry. Improved and evaluated gene-expression prediction methods against spatial baselines using held-out sections and multiple evaluation metrics.
Supervisor: Prof. Maria Brbić
Research Project
Research Experience
Visual Attribution and Hallucination Mitigation in Vision-Language Models
Studied model attribution using visual-token interventions and contributed to a training-free approach for uncertainty-guided hallucination mitigation in vision-language models.
Supervisor: Dr. Mahdieh Soleymani
Yale University · NLP Lab
Research Internship
Faithful Confidence Expression in Large Reasoning Models
Studied methods for estimating internal confidence in large reasoning models from model signals and behavior. Evaluated how internal confidence relates to expressed confidence and answer correctness, and contributed to experimental analysis.
Remote · Supervisor: Dr. Arman Cohan
EPFL · Machine Learning for Education Lab (ML4ED)
Summer Research Internship
NLP for Reflective Writing Support
Implemented an end-to-end RAG pipeline to retrieve students' reflective writing by topic and emotion, integrating topic modeling into the retrieval workflow.
Supervisor: Prof. Tanja Käser
Qatar Computing Research Institute
Research Internship
Geospatial Benchmarking for Foundation Models
Developed a task taxonomy and benchmark for evaluating foundation models on map understanding and geospatial reasoning.
Remote · Supervisor: Dr. Ehsaneddin Asgari
Research Project
Research Experience
Multivariate Time Series Modeling
Contributed to models for multivariate time-series forecasting and classification, with a focus on long-range temporal dependencies.
Supervisor: Ali Behrouz
Research Project
Research Experience
Explainable Recommendation Systems
Studied faithful recommendation explanations using SHAP-based feature attribution and natural-language explanation generation.
Supervisor: S.M.F. Sani
Selected Honors and Programs
Summer@EPFL
MLBIO Research Intern · 2026
Summer@EPFL
ML4ED Research Intern · 2025
Top 0.01%
Rank 13 · National University Entrance Examination, Mathematics and Physics Track
Top 0.03%
Rank 50 · National University Entrance Examination, Foreign Languages Track
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