Panos Seferlis

Orcid: 0000-0002-4077-4284

According to our database1, Panos Seferlis authored at least 13 papers between 2004 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2022
EXA2PRO: A Framework for High Development Productivity on Heterogeneous Computing Systems.
IEEE Trans. Parallel Distributed Syst., 2022

Approximate computing, skeleton programming and run-time scheduling in an algorithm for process design and controllability in distributed and heterogeneous infrastructures.
Comput. Chem. Eng., 2022

2020
An approach for simultaneous computer-aided molecular design with holistic sustainability assessment: Application to phase-change CO<sub>2</sub> capture solvents.
Comput. Chem. Eng., 2020

2019
Optimal scheduling ratio of recycling waste paper with NSGAII based on deinked-pulp properties prediction.
Comput. Ind. Eng., 2019

2018
EXA2PRO programming environment: architecture and applications.
Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, 2018

Adaptive Power Pinch Analysis for Energy management of Hybrid Energy Storage Systems.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

2016
Enhancement of hybrid renewable energy systems control with neural networks applied to weather forecasting: the case of Olvio.
Neural Comput. Appl., 2016

2014
Application of Neural Networks Solar Radiation Prediction for Hybrid Renewable Energy Systems.
Proceedings of the Engineering Applications of Neural Networks, 2014


2010
System poles and zeros sensitivity for dynamic process controllability.
Proceedings of the American Control Conference, 2010

2007
Feed conversion targeting in an FCC pilot plant using a non-linear MPC strategy.
Proceedings of the American Control Conference, 2007

2006
A unified modeling framework for the optimal design and dynamic simulation of staged reactive separation processes.
Comput. Chem. Eng., 2006

2004
A two-layered optimisation-based control strategy for multi-echelon supply chain networks.
Comput. Chem. Eng., 2004


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