Posts

Prof. Hochbaum and Sheng Liu’s paper on Adjacency-Clustering and its Application for Yield Prediction in Integrated Circuit Manufacturing has been accepted for publication in Operations Research.

Rebecca Sarto Basso and Prof. Hochbaum’s paper on Efficient Algorithms to Discover Alterations with Complementary Functional Association in Cancer has been accepted for the RECOMB 2018 conference.

The HNCcorr algorithm developed for cell identification in calcium-imaging datasets is a top performer for the Neurofinder benchmark. The Neurofinder community benchmark is an initiative of the CodeNeuro collective of neuroscientists that encourages software tool development for neuroscience research. The Neurofinder benchmark consists of 28 calcium imaging movies, 19 for training algorithms and the remaining nine for unbiased evaluation of algorithmic performance. The datasets have been contributed by various labs and have been recorded under different experimental conditions.

Congratulations on passing the qualifying exam to:

• Rebecca Sarto Basso - December 2017
• Dean Grosbard - December 2017
• Xu Rao - May 2017
• Quico Spaen - May 2017
• Mark Velednitsky - May 2017

Cheng Lyu and Prof. Hochbaum’s paper on Faster Algorithm for Solving Isotonic Median Regression and Fused Lasso problems has been published in SIAM Journal on Optimization.

Quico Spaen and Prof. Hochbaum’s paper on High-Performance Geometric Algorithms for Sparse Computation in Big Data Analytics has been published in the proceedings of the IEEE Big Data 2017 conference in Boston, MA.

Congratulations to Cheng Lyu on his graduation and newly minted PhD degree. Cheng is now a Research Scientist at the Rokid Corporation.