Pre-Submission Review for Human-Computer Interaction Papers
HCI papers need pre-submission review that checks contribution type, study design, ethics, interaction evidence, and venue fit.
•11 min read
Associate Professor, Computer Science
Associate Professor, Computer Science
An associate professor with 12+ years across information retrieval, recommender systems, and applied machine learning. Has prepared and reviewed manuscripts for search, ranking, retrieval evaluation, and computer science survey venues. Brings direct experience with reviewer expectations around task definition, relevance judgments, baseline choice, leakage checks, reproducibility artifacts, and venue fit.
Information retrievalRecommender systemsMachine learning evaluationSearch systemsBenchmark designReproducibilitySIGIR-style reviewComputer science publishingPre-submission review
Journals reviewed for:
Foundations and Trends in Information Retrieval, Computer Science Review, ACM Transactions on Information Systems
Research published in:
Published in information retrieval and applied machine learning venues
Articles by this reviewer (5)
Pre-Submission Review for Information Retrieval Papers
Information retrieval papers need pre-submission review that checks task definition, metrics, baselines, leakage, artifacts, and venue fit.
•11 min read
Pre-Submission Review for Machine Learning Papers
Machine learning papers need pre-submission review that checks baselines, ablations, reproducibility, ethics, code, data, and venue fit.
•11 min read
Pre-Submission Review for Remote Sensing Papers
Remote sensing papers need pre-submission review that checks sensor logic, validation, leakage, transfer, data, and journal fit.
•11 min read
Pre-Submission Review for Robotics Papers
Robotics papers need pre-submission review that checks hardware, experiments, baselines, videos, safety, reproducibility, and journal fit.
•11 min read
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