Reducing overfitting in process model induction. - Will Bridewell; Narges Bani Asadi; Pat Langley; Ljupco Todorovski (ICML, 2005)

Reconfigurable computing for learning Bayesian networks. - Narges Bani Asadi; Teresa H. Meng; Wing Hung Wong (FPGA, 2008)

Map approach to learning sparse Gaussian Markov networks. - Narges Bani Asadi; Irina Rish; Katya Scheinberg; Dimitri Kanevsky; Bhuvana Ramabhadran (ICASSP, 2009)

ParaLearn: a massively parallel, scalable system for learning interaction networks on FPGAs. - Narges Bani Asadi; Christopher W. Fletcher; Greg Gibeling; John Wawrzynek; Wing H. Wong; Garry P. Nolan (ICS, 2010)

High-throughput Bayesian network learning using heterogeneous multicore computers. - Michael D. Linderman; Robert V. Bruggner; Vivek Athalye; Teresa H. Meng; Narges Bani Asadi; Garry P. Nolan (ICS, 2010)

Sparse Markov net learning with priors on regularization parameters. - Katya Scheinberg; Irina Rish; Narges Bani Asadi (ISAIM, 2010)

Bridging the GPGPU-FPGA efficiency gap. - Christopher W. Fletcher; Ilia A. Lebedev; Narges Bani Asadi; Daniel Burke; John Wawrzynek (FPGA, 2011)

Fast and accurate read alignment for resequencing. - John C. Mu; Hui Jiang 002; Amirhossein Kiani; Marghoob Mohiyuddin; Narges Bani Asadi; Wing Hung Wong (Bioinform., 2012)

MetaSV: an accurate and integrative structural-variant caller for next generation sequencing. - Marghoob Mohiyuddin; John C. Mu; Jian Li; Narges Bani Asadi; Mark B. Gerstein; Alexej Abyzov; Wing H. Wong; Hugo Y. K. Lam (Bioinform., 2015)

VarSim: a high-fidelity simulation and validation framework for high-throughput genome sequencing with cancer applications. - John C. Mu; Marghoob Mohiyuddin; Jian Li; Narges Bani Asadi; Mark B. Gerstein; Alexej Abyzov; Wing H. Wong; Hugo Y. K. Lam (Bioinform., 2015)

LongISLND: in silico sequencing of lengthy and noisy datatypes. - Bayo Lau; Marghoob Mohiyuddin; John C. Mu; Li Tai Fang; Narges Bani Asadi; Carolina Dallett; Hugo Y. K. Lam (Bioinform., 2016)