Mirza Farhan Bin Tarek

MedicineComputer ScienceEnvironmental ScienceHealth Professions

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods”.

Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods

PubMed(2023)10.1145/3593013.3594102

N/A

0DataRank · unranked

63 citations

Mirza Farhan Bin Tarek, Rahmatollah Beheshti, Raphael Poulain

Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods

arXiv (Cornell University)(2023)10.48550/arxiv.2305.11386

N/A

0DataRank · unranked

1 citations

Mirza Farhan Bin Tarek, Rahmatollah Beheshti, Raphael Poulain

Reward Hacking Mitigation using Verifiable Composite Rewards

(2025)10.1145/3765612.3767230

N/A

0DataRank · unranked

1 citations

Rahmatollah Beheshti, Mirza Farhan Bin Tarek

Fairness-Optimized Synthetic EHR Generation for Arbitrary Downstream Predictive Tasks

(2025)10.1145/3721201.3721373

N/A

0DataRank · unranked

0 citations

Raphael Poulain, Rahmatollah Beheshti, Mirza Farhan Bin Tarek