Sreekanth Rajagopalan

According to our database, Sreekanth Rajagopalan authored at least 7 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Model-and-search: a derivative-free local optimization algorithm.

Kaiwen Ma, Luis Miguel Rios, Hua Zheng, Nikolaos V. Sahinidis, Sreekanth Rajagopalan

Comput. Optim. Appl., December, 2025

2023

Branch-and-Model: a derivative-free global optimization algorithm.

Kaiwen Ma, Luis Miguel Rios, Atharv Bhosekar, Nikolaos V. Sahinidis, Sreekanth Rajagopalan

Comput. Optim. Appl., June, 2023

2022

Data-driven strategies for extractive distillation unit optimization.

Kaiwen Ma, Nikolaos V. Sahinidis, Rahul Bindlish, Scott J. Bury, Reza Haghpanah, Sreekanth Rajagopalan

Comput. Chem. Eng., 2022

Data-driven strategies for optimization of integrated chemical plants.

Kaiwen Ma, Nikolaos V. Sahinidis, Satyajith Amaran, Rahul Bindlish, Scott J. Bury, Devin Griffith, Sreekanth Rajagopalan

Comput. Chem. Eng., 2022

Advancing Industrial Analytics Using Machine Learning (ML) and Mathematical Optimization.

Sreekanth Rajagopalan, Shachit Shankaran Iyer

Proceedings of the American Control Conference, 2022

2021

Decomposition in derivative-free optimization.

Kaiwen Ma, Nikolaos V. Sahinidis, Sreekanth Rajagopalan, Satyajith Amaran, Scott J. Bury

J. Glob. Optim., 2021

2017

Risk analysis of turnaround reschedule planning in integrated chemical sites.

Sreekanth Rajagopalan, Nikolaos V. Sahinidis, Satyajith Amaran, Anshul Agarwal, Scott J. Bury, Bikram Sharda, John M. Wassick

Comput. Chem. Eng., 2017