Pratiba Irudayaraj Top !!link!! -

, gaining hands-on experience in the technical and theoretical aspects of engineering biological systems. Academic Background Master of Science (M.S.) in Bioengineering University of Pennsylvania (2016–2018). Undergraduate Studies

, where she earned a Master’s degree in Bioengineering (2016–2018). Academic Contributions: During her time at UPenn, she served as a Graduate Research Assistant pratiba irudayaraj top

| Metric | Value (as of April 2026) | |--------|--------------------------| | | 23,500+ | | h‑index | 47 | | i10‑index | 112 | | Top‑10 most cited papers | 1) HGNNs for Heterogeneous Graphs (KDD 2016) – 5,200 citations; 2) Counterfactual Explanations for Graph Models (FAT 2020) – 3,100 citations; 3) Low‑Resource Language Transfer (ACL 2019) – 2,800 citations | | Awards | • ACM SIGKDD Distinguished Paper (2016) • IEEE Fellow (2022) • MIT Technology Review “Innovators Under 35” (2018) • ACM SIGAI Outstanding Service Award (2024) | | Professional Service | • Area Chair, NeurIPS (2022‑2024) • Program Committee, KDD, ACL, AAAI, ICWSM • Advisory Board, AI4Good Initiative (UN‑DPPA) | , gaining hands-on experience in the technical and

Pratiba Irudayaraj is a researcher and professional in the field of bioengineering and biotechnology, currently serving as a . She is recognized for her academic and research contributions at the University of Pennsylvania , where she pursued her Master's in Bioengineering. Key Research and Professional Focus Academic Contributions: During her time at UPenn, she