Staff Research Scientist
Team: Trustworthy AI
Research areas: Machine learning, AI fairness and ethics
- C. Wang, K. Wang, A. Bian, R. Islam, K. Keya, J. Foulds and S. Pan, "Do Humans Prefer Debiased AI Algorithms? A Case Study in Career Recommendation", ACM International Conference on Intelligent User Interfaces (IUI), 2022.
- R. Islam, S. Pan, and J. R. Foulds, "Can We Obtain Fairness for Free?", AAAI/ACM Conference on Artificial Intelligence, Ethics and Society (AIES), 2021.
- R. Islam, K. Keya, Z. Zeng, S. Pan, and J. R. Foulds, "Debiasing Career Recommendations with Neural Fair Collaborative filtering", The Web Conference (formerly known as WWW), 2021.
- K. Keya, R. Islam, S. Pan, I. Stockwell and J. R. Foulds, "Equitable Allocation of Healthcare Resources with Fair Survival Models", SIAM International Conference on Data Mining (SDM), 2021.
- Z. Zeng, R. Islam, K. Keya, J. Foulds, Y. Song, and S. Pan, "Fair Representation Learning for Heterogeneous Information Networks", AAAI Conference on Web and Social Media (ICWSM), 2021.
- K. Keya, R. Islam, S. Pan, I. Stockwell and J. R. Foulds, "Equitable Allocation of Healthcare Resources with Fair Cox Models", AAAI Fall Symposium on AI in Government and Public Sector (AAAI FSS), 2020.
- J. R. Foulds, R. Islam, K. Keya, S. Pan, "Bayesian Modeling of Intersectional Fairness: The Variance of Bias", SIAM International Conference on Data Mining (SDM), 2020.
- J. R. Foulds, R. Islam, K. Keya, S. Pan, "An Intersectional Definition of Fairness", IEEE International Conference on Data Engineering (ICDE), 2020.
- J. R. Foulds, R. Islam, K. Keya, S. Pan, "Differential Fairness", NeurIPS Workshop on Machine Learning with Guarantees, 2019.
- R. Islam, K. Keya, S. Pan, and J. R. Foulds, "Mitigating Demographic Biases in Social Media-based Recommender Systems", ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) Social Impact Track (extended abstract), 2019.
- R. Islam and J. R. Foulds, "Scalable Collapsed Inference for High-Dimensional Topic Models", Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2019.
- M. Hosseini, R. Islam, L. Marni, T. Mohsenin, "MPT: Multiple Parallel Tempering for High-Throughput MCMC Samplers", IEEE International System-on-Chip Conference (SOCC), 2018
- R. Islam, W. D. Hairston, T. Oates, T. Mohsenin, "An EEG Artifact Detection and Removal Technique for Embedded Processors", IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 2017.
- M. Hosseini, R. Islam, A. Kulkarni, T. Mohsenin, "A Scalable FPGA-based Accelerator for High-Throughput MCMC Algorithms", IEEE Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2017.