Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Finally graduated
Published:
Now, I’m a B.Sc graduated of Computer Engineering at Amirkabir University of technology. Open to see more…
portfolio
publications
Persian Ezafeh Recognition using Transformer-Based Models
Published in 9th International Conference on Web Research (ICWR), 2023
A. Ansari, Z. Ebrahimian, R. Toosi, M. A. Akhaee.
Recommended citation: A. Ansari, Z. Ebrahimian, R. Toosi, M. A. Akhaee. "Persian Ezafeh Recognition using Transformer-Based Models." 9th International Conference on Web Research (ICWR), 2023. https://ieeexplore.ieee.org/abstract/document/10139204
CypherLenz: Graph-Native Evaluation, Diagnosis, and Repair for NL-to-Cypher Systems
Published in KDD 2027 (under review), 2026
Under review. Y. Mohammadi, A. Ansari, A. Acharya, L. Latecki, E. Dragut.
Recommended citation: Y. Mohammadi, A. Ansari, A. Acharya, L. Latecki, E. Dragut. "CypherLenz: Graph-Native Evaluation, Diagnosis, and Repair for NL-to-Cypher Systems." Under review at KDD 2027.
CypherSem: Graph-Native Semantic Error Analysis for NL2Cypher
Published in VLDB 2027 (under review), 2026
Under review. Y. Mohammadi, A. Ansari, A. Acharya, L. Latecki, E. Dragut.
Recommended citation: Y. Mohammadi, A. Ansari, A. Acharya, L. Latecki, E. Dragut. "CypherSem: Graph-Native Semantic Error Analysis for NL2Cypher." Under review at VLDB 2027.
ERUnderstand: A Benchmark for Evaluating Vision–Language Models on Entity–Relationship Diagrams
Published in KDD 2027 (under review), 2026
Under review. A. Ansari, Y. Mohammadi, F. Nilizadeh, P. Esmailkhani, L. Latecki, E. Dragut.
Recommended citation: A. Ansari, Y. Mohammadi, F. Nilizadeh, P. Esmailkhani, L. Latecki, E. Dragut. "ERUnderstand: A Benchmark for Evaluating Vision–Language Models on Entity–Relationship Diagrams." Under review at KDD 2027.
Evaluating Vision–Language Models on Structural Reasoning in Entity–Relationship Diagrams
Published in NAACL 2027 (under review), 2026
Under review. A. Ansari, P. Esmailkhani, L. Latecki, E. Dragut.
Recommended citation: A. Ansari, P. Esmailkhani, L. Latecki, E. Dragut. "Evaluating Vision–Language Models on Structural Reasoning in Entity–Relationship Diagrams." Under review at NAACL 2027.
Text2EER: Evaluating Structural Recovery and EER Modeling Correctness
Published in VLDB 2027 (under review), 2026
Under review. A. Ansari, E. Dragut.
Recommended citation: A. Ansari, E. Dragut. "Text2EER: Evaluating Structural Recovery and EER Modeling Correctness." Under review at VLDB 2027.
SeeTheFlow: Adaptive Structural Priors and a CPU Prior-Trust Gate for Flowchart VLMs
Published in ICLR 2027 (under review), 2026
Under review. A. Ansari, Y. Mohammadi, E. Dragut.
Recommended citation: A. Ansari, Y. Mohammadi, E. Dragut. "SeeTheFlow: Adaptive Structural Priors and a CPU Prior-Trust Gate for Flowchart VLMs." Under review at ICLR 2027.
CypherLens: An Interactive Demo for Evaluating and Diagnosing NL-to-Cypher Systems
Published in 52nd International Conference on Very Large Data Bases (VLDB 2026), Boston, MA, 2026
Demonstration paper. Y. Mohammadi, A. Ansari, L. Latecki, E. Dragut.
Recommended citation: Y. Mohammadi, A. Ansari, L. Latecki, E. Dragut. "CypherLens: An Interactive Demo for Evaluating and Diagnosing NL-to-Cypher Systems." VLDB 2026.
talks
Review of treatments based on Machine Learning in dentistry
Published:
It was a review for “Research and Technical Presentation” undergrad course. This presentation was with the presence of my lovely friends from Sharif and Tehran university.
B.Sc. Thesis defense on “Designing and Implementing of a Glasses Shop using 3D Augmented Reality”
Published:
Open to see more…
ERUnderstand: A Benchmark for Evaluating Vision-Language Models on Entity-Relationship Diagrams
Published:
I had the pleasure of presenting my research paper, “ERUnderstand,” which is currently under review. The talk focused on evaluating and improving how Vision-Language Models (VLMs) and LLMs reason over structured Entity-Relationship diagrams.
CypherLens: An Interactive Demo for Evaluating and Diagnosing NL-to-Cypher Systems
Published:
Attended and presented our demonstration paper, “CypherLens,” at the 52nd International Conference on Very Large Data Bases (VLDB 2026) in Boston, MA. The demo showcases interactive evaluation and diagnosis of NL-to-Cypher systems beyond simple execution accuracy.
teaching
Fundamental Programming
Undergraduate course, Amirkabir University of Technology, Computer Engineering Department, 2020
- Under the supervision of Assistant Professor Bahador Bakhshi.
- Member of assignments and projects design team.
Linear Algebra
Undergraduate course, Amirkabir University of Technology, Computer Engineering Department, 2021
- Under the supervision of Assistant Professor Ehsan Nazerfard.
- Member of assignments and projects design team.
Microprocessor and Assembly Language Lab
Undergraduate course, Amirkabir University of Technology, Computer Engineering Department, 2022
- Under the supervision of Associate Professor Hamed Farbeh.
- Member of assignments and projects design team.
Microprocessor and Assembly Language Lab
Undergraduate course, Amirkabir University of Technology, Computer Engineering Department, 2023
- Under the supervision of Associate Professor Hamed Farbeh.
- Lab assistant and member of lab agenda design team.
Information Retrieval
Undergraduate course, Amirkabir University of Technology, Computer Engineering Department, 2023
- Under the supervision of Assistant Professor Ahmad Nickabadi.
- Member of project and exam design team.
Projects in Data Science
Undergraduate course, Temple University, Department of Computer Science, 2026
- Under the supervision of Professor Nancy Polychronopoulou.
- Lead and instruct weekly laboratory sessions.
- Responsible for grading course assignments and evaluating student projects.
Mathematical Concepts in Computing II
Undergraduate course, Temple University, Department of Computer Science, 2026
- Under the supervision of David Dobor.
- Member of project and exam design team.