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Bayesian Computational Statistics and Modeling
BAYESCOMP
Bayesian Computational Statistics and Modeling

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robust optimization

Ubaidulla Pandarakkottilil

Postdoctoral Research Fellow, Communication Theory Lab

Signal processing for wireless communications robust optimization

Ubaidulla Pandarakkottilil is an Assistant Professor in Indian Institute of Technology, Hyderabad, India. Selected Publications Ph.D. Thesis: P. Ubaidulla, “Robust Precoder and Transceiver Optimization in Multiuser Multi-antenna Systems,” Department of Electrical Communication Engineering, Indian Institute of Science (IISc), Bangalore, India, Sep. 2010. Journal Publications: P. Ubaidulla and S. Aissa, “Optimal relay selection and power allocation for cognitive two-way relaying networks,” IEEE Wireless Communications Letters, vol. 1, no. 3, pp. 225-228, Jun. 2012. P. Ubaidulla and A

Ricardo Manuel Pinto de Lima

Research Scientist, Applied Mathematics and Computational Science

optimization process systems engineering renewable energy energy systems stochastic programming robust optimization uncertainty quantification risk management nlp minlp milp scheduling

My mission is to develop computational models and methods based on mathematical optimization and data science for sustainable energy and chemical processes. I am deeply committed to decarbonization, climate change mitigation, and optimal operations management.

Bayesian Computational Statistics and Modeling (BAYESCOMP)

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