A 3.51µW 0.31µVrms Biofuel Cell Enabled Integrated Analog CMOS Front-End in 130 nm CMOS. - Huan Hu; Tanzila Islam; Chung-Ching Lin; Alla Kostyukova; Su Ha; Subhanshu Gupta (BioCAS, 2018)

From Battery Enabled to Natural Harvesting: Enzymatic BioFuel Cell Assisted Integrated Analog Front-End in 130nm CMOS for Long-Term Monitoring. - Huan Hu; Tanzila Islam; Alla Kostyukova; Su Ha; Subhanshu Gupta (IEEE Trans. Circuits Syst. I Regul. Pap., 2019)

Risk Prediction Of Chronic Kidney Disease Using Machine Learning Algorithms. - Shanila Yunus Yashfi; Md Ashikul Islam; Pritilata; Nazmus Sakib; Tanzila Islam; Mohammad Shahbaaz; Sadaf Salman Pantho (ICCCNT, 2020)

A Deep Learning Method to Impute Missing Values and Compress Genome-ide Polymorphism Data in Rice. - Tanzila Islam; Chyon Hae Kim; Hiroyoshi Iwata; Hiroyuki Shimono; Akio Kimura; Hein Zaw; Chitra Raghavan; Hei Leung; Rakesh Kumar Singh (BIOINFORMATICS, 2021)

DeepCGP: A Deep Learning Method to Compress Genome-Wide Polymorphisms for Predicting Phenotype of Rice. - Tanzila Islam; Chyon Hae Kim; Hiroyoshi Iwata; Hiroyuki Shimono; Akio Kimura (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)