TAU 2013 variation aware timing analysis contest. - Debjit Sinha; Luís Guerra e Silva; Jia Wang; Shesha Raghunathan; Dileep Netrabile; Ahmed Shebaita (ISPD, 2013)

Practical statistical static timing analysis with current source models. - Debjit Sinha; Vladimir Zolotov; Sheshashayee K. Raghunathan; Michael H. Wood; Kerim Kalafala (DAC, 2016)

Generation and use of statistical timing macro-models considering slew and load variability. - Debjit Sinha; Vladimir Zolotov; Jin Hu; Sheshashayee K. Raghunathan; Adil Bhanji; Christine M. Casey (ICCAD, 2016)

EDA and Quantum Computing: a symbiotic relationship? - Shesha Raghunathan; Leon Stok (IEEE Des. Test, 2020)

Optimizing Ansatz Design in QAOA for Max-cut. - Ritajit Majumdar; Dhiraj Madan; Debasmita Bhoumik; Dhinakaran Vinayagamurthy; Shesha Raghunathan; Susmita Sur-Kolay (CoRR, 2021)

Depth Optimized Ansatz Circuit in QAOA for Max-Cut. - Ritajit Majumdar; Debasmita Bhoumik; Dhiraj Madan; Dhinakaran Vinayagamurthy; Shesha Raghunathan; Susmita Sur-Kolay (CoRR, 2021)

Efficient Machine-Learning-based decoder for Heavy Hexagonal QECC. - Debasmita Bhoumik; Ritajit Majumdar; Dhiraj Madan; Dhinakaran Vinayagamurthy; Shesha Raghunathan; Susmita Sur-Kolay (CoRR, 2022)

Optimized QAOA ansatz circuit design for two-body Hamiltonian problems. - Ritajit Majumdar; Dhiraj Madan; Debasmita Bhoumik; Dhinakaran Vinayagamurthy; Shesha Raghunathan; Susmita Sur-Kolay (VLSID, 2024)