Peer Review & Academic Service
Peer Review
Springer Nature Journals
2025–Present
Invited peer reviewer for Springer Nature journals in artificial intelligence, machine learning, and data systems. Completed multiple manuscript reviews, including re-reviews, assessing methodological rigor, experimental validity, reproducibility, and clarity of technical contributions.
IEEE Journals
2025–Present
Serving as a peer reviewer for IEEE publications in data engineering and applied computer science. Providing structured, technical reviews focused on experimental soundness, system design, and research novelty.
Artificial Intelligence in Education — Emerald Publishing
2025–Present
Registered and confirmed reviewer for the journal Artificial Intelligence in Education. Reviewer account approved by the editorial office; manuscripts assigned based on editorial matching of expertise areas.
Conference & Community Service
NYU Stern Entrepreneurs Challenge
2025
Served as an application evaluator, reviewing and scoring early-stage startup proposals across AI, data platforms, and product feasibility. Completed six competitive evaluations as part of the official judging process.
Review Focus Areas
- Large-scale data systems and distributed computing
- Applied machine learning and artificial intelligence
- Visual analytics and data visualization
- Reproducibility and experimental methodology
- Technical clarity and presentation quality
- Data engineering and system design