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Nilay Shah
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2020 – today
- 2025
- [j44]Miriam Sarkis, Nilay Shah, Maria M. Papathanasiou:
Resilient pharmaceutical supply chains: Assessment of stochastic optimization strategies for process uncertainty integration in network design problems. Comput. Chem. Eng. 195: 109013 (2025) - 2024
- [j43]Sergei S. Kucherenko, Nannapat Sopittakamol
, Nilay Shah:
Design space identification of a coupled two-stage batch reactor system. Comput. Chem. Eng. 187: 108727 (2024) - [j42]Damien van de Berg
, Nilay Shah, Ehecatl Antonio del Rio-Chanona:
Hierarchical planning-scheduling-control - Optimality surrogates and derivative-free optimization. Comput. Chem. Eng. 188: 108726 (2024) - [j41]Chenxi Li, Nilay Shah, Zheng Li, Pei Liu
:
Decoupling framework for large-scale energy systems simultaneously addressing carbon emissions and energy flow relationships through sector units: A case study on uncertainty in China's carbon emission targets. Comput. Chem. Eng. 191: 108840 (2024) - [i7]Sergei S. Kucherenko, Oleksiy V. Klymenko, Nilay Shah:
Analytical Identification of Design and Multidimensional Spaces Using R-Functions. CoRR abs/2407.13573 (2024) - [i6]Paola Falugi, Edward O'Dwyer, Marta A. Zagorowska, Eric C. Kerrigan, Yuanbo Nie, Goran Strbac, Nilay Shah:
Robust co-design framework for buildings operated by predictive control. CoRR abs/2410.10446 (2024) - 2023
- [j40]Maria Yliruka
, Stefano Moret
, Nilay Shah:
Detail or uncertainty? Applying global sensitivity analysis to strike a balance in energy system models. Comput. Chem. Eng. 177: 108287 (2023) - [j39]Edward O'Dwyer
, Eric C. Kerrigan
, Paola Falugi
, Marta A. Zagorowska
, Nilay Shah
:
Data-Driven Predictive Control With Improved Performance Using Segmented Trajectories. IEEE Trans. Control. Syst. Technol. 31(3): 1355-1365 (2023) - [c5]Sergei S. Kucherenko
, Nilay Shah
, Oluyemi Zaccheus
:
Application of Active Subspaces for Model Reduction and Identification of Design Space. LSSC 2023: 412-418 - [i5]Damien van de Berg, Nilay Shah, Ehecatl Antonio del Rio-Chanona:
Hierarchical planning-scheduling-control - Optimality surrogates and derivative-free optimization. CoRR abs/2310.07870 (2023) - 2022
- [j38]Andrea Bernardi, Miriam Sarkis
, Niki Triantafyllou
, Matthew Lakelin, Nilay Shah, Maria M. Papathanasiou:
Assessment of intermediate storage and distribution nodes in personalised medicine. Comput. Chem. Eng. 157: 107582 (2022) - [j37]Kennedy Putra Kusumo
, Kamal Kuriyan
, Shankarraman Vaidyaraman, Salvador García Muñoz, Nilay Shah, Benoît Chachuat:
Risk mitigation in model-based experiment design: A continuous-effort approach to optimal campaigns. Comput. Chem. Eng. 159: 107680 (2022) - [j36]Yue Yu
, Nansu Zong, Andrew Wen, Sijia Liu
, Daniel J. Stone, David Knaack, Alanna M. Chamberlain, Emily R. Pfaff, Davera Gabriel, Christopher G. Chute
, Nilay Shah, Guoqian Jiang:
Developing an ETL tool for converting the PCORnet CDM into the OMOP CDM to facilitate the COVID-19 data integration. J. Biomed. Informatics 127: 104002 (2022) - [j35]Pantelis Broukos, Antonios Fragkogios, Nilay Shah:
A Linearized Mathematical Formulation for Combined Centralized and Distributed Waste Water Treatment Network Design. Oper. Res. Forum 3(3) (2022) - [i4]Marko Aunedi, Maria Yliruka, Shahab Dehghan, Antonio Marco Pantaleo, Nilay Shah, Goran Strbac:
Multi-model assessment of heat decarbonisation options in the UK using electricity and hydrogen. CoRR abs/2206.02483 (2022) - 2021
- [c4]Nathan C. Hurley, Alyssa Berkowitz, Frederick Masoudi, Joseph S. Ross, Nihar Desai, Nilay Shah, Sanket S. Dhruva, Bobak J. Mortazavi:
Outcomes-Driven Clinical Phenotyping in Cardiogenic Shock using a Mixture of Experts. BHI 2021: 1-4 - [i3]Edward O'Dwyer, Eric C. Kerrigan, Paola Falugi, Marta A. Zagorowska, Nilay Shah:
Data-driven predictive control with reduced computational effort and improved performance using segmented trajectories. CoRR abs/2108.10753 (2021) - 2020
- [j34]Songsong Liu
, Lazaros G. Papageorgiou
, Nilay Shah:
Optimal design of low-cost supply chain networks on the benefits of new product formulations. Comput. Ind. Eng. 139: 106189 (2020) - [j33]Sergei S. Kucherenko
, Dimitrios Giamalakis, Nilay Shah, Salvador García Muñoz:
Computationally efficient identification of probabilistic design spaces through application of metamodeling and adaptive sampling. Comput. Chem. Eng. 132 (2020) - [i2]Edward O'Dwyer, Indranil Pan, Richard Charlesworth, Sarah Butler, Nilay Shah:
Integration of an Energy Management Tool and Digital Twin for Coordination and Control of Multi-vector Smart Energy Systems. CoRR abs/2007.12129 (2020)
2010 – 2019
- 2019
- [j32]Xiaonan Wang
, Koen H. van Dam, Charalampos P. Triantafyllidis
, Rembrandt H. E. M. Koppelaar
, Nilay Shah:
Energy-water nexus design and operation towards the sustainable development goals. Comput. Chem. Eng. 124: 162-171 (2019) - [j31]Maria M. Papathanasiou
, Baris Burnak
, Justin Katz, Nilay Shah, Efstratios N. Pistikopoulos
:
Assisting continuous biomanufacturing through advanced control in downstream purification. Comput. Chem. Eng. 125: 232-248 (2019) - [j30]Pavlos Kotidis, Panagiotis Demis, Cher H. Goey, Elisa Correa, Calum McIntosh, Stefania Trepekli, Nilay Shah, Oleksiy V. Klymenko
, Cleo Kontoravdi
:
Constrained global sensitivity analysis for bioprocess design space identification. Comput. Chem. Eng. 125: 558-568 (2019) - [j29]Federico d'Amore
, Nixon Sunny
, Diana Iruretagoyena, Fabrizio Bezzo, Nilay Shah:
European supply chains for carbon capture, transport and sequestration, with uncertainties in geological storage capacity: Insights from economic optimisation. Comput. Chem. Eng. 129 (2019) - [j28]Qingyuan Kong, Kamal Kuriyan
, Nilay Shah, Miao Guo
:
Development of a responsive optimisation framework for decision-making in precision agriculture. Comput. Chem. Eng. 131 (2019) - [j27]Xi Zhang
, Goran Strbac, Nilay Shah
, Fei Teng
, Danny Pudjianto
:
Whole-System Assessment of the Benefits of Integrated Electricity and Heat System. IEEE Trans. Smart Grid 10(1): 1132-1145 (2019) - [c3]Max Bird
, Salvador Acha
, Niccolo Le Brun, Nilay Shah:
Assessing the Modelling Approach and Datasets Required for Fault Detection in Photovoltaic Systems. IAS 2019: 1-6 - [i1]Akash Jain, Manish Kumar, Rithvik Patibandla, Balamurugan R, Naveen Chandra R, Abhinav Arora, Akash K. Singh, Varun Pawar, Aditya Rai, Medha Agarwal, Priank Prasad, Vandit Sanadhya, Inshu Namdev, Nilay Shah, Saksham Mittal, Ayush Gupta, Naman Agarwal, Mangal Kothari:
Design and Development of Underwater Vehicle: ANAHITA. CoRR abs/1903.00494 (2019) - 2018
- [j26]Wenqian Chen
, Mahdi Sharifzadeh
, Nilay Shah, Andrew G. Livingston
:
Iterative peptide synthesis in membrane cascades: Untangling operational decisions. Comput. Chem. Eng. 115: 275-285 (2018) - [j25]Charalampos P. Triantafyllidis
, Rembrandt H. E. M. Koppelaar
, Xiaonan Wang
, Koen H. van Dam, Nilay Shah:
An integrated optimisation platform for sustainable resource and infrastructure planning. Environ. Model. Softw. 101: 146-168 (2018) - [j24]Michael D. Abràmoff
, Philip T. Lavin, Michele Birch, Nilay Shah, James C. Folk
:
Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices. npj Digit. Medicine 1 (2018) - 2017
- [j23]Clara Heuberger, Iain Staffell, Nilay Shah, Niall Mac Dowell:
A systems approach to quantifying the value of power generation and energy storage technologies in future electricity networks. Comput. Chem. Eng. 107: 247-256 (2017) - [j22]Sergei S. Kucherenko
, Oleksiy V. Klymenko
, Nilay Shah:
Sobol' indices for problems defined in non-rectangular domains. Reliab. Eng. Syst. Saf. 167: 218-231 (2017) - 2016
- [j21]Miao Guo
, Goetz M. Richter
, Robert A. Holland, Felix Eigenbrod, Gail Taylor, Nilay Shah:
Implementing land-use and ecosystem service effects into an integrated bioenergy value chain optimisation framework. Comput. Chem. Eng. 91: 392-406 (2016) - [j20]Romain S. C. Lambert, Frank Lemke, Sergei S. Kucherenko
, Shufang Song, Nilay Shah:
Global sensitivity analysis using sparse high dimensional model representations generated by the group method of data handling. Math. Comput. Simul. 128: 42-54 (2016) - 2015
- [c2]Koen H. van Dam, Gonzalo Bustos-Turu, Nilay Shah:
A Methodology for Simulating Synthetic Populations for the Analysis of Socio-technical Infrastructures. ESSA 2015: 429-434 - 2014
- [j19]Mark G. Jennings, Nilay Shah
:
Workforce planning and technology installation optimisation for utilities. Comput. Ind. Eng. 67: 72-81 (2014) - [j18]Qi Zhang, Nilay Shah
, John M. Wassick, Rich Helling, Peter van Egerschot:
Sustainable supply chain optimisation: An industrial case study. Comput. Ind. Eng. 74: 68-83 (2014) - 2013
- [j17]Miguel Munoz Zuniga, Sergei S. Kucherenko
, Nilay Shah
:
Metamodelling with independent and dependent inputs. Comput. Phys. Commun. 184(6): 1570-1580 (2013) - 2012
- [j16]Cheng Seong Khor, Benoît Chachuat
, Nilay Shah
:
A superstructure optimization approach for water network synthesis with membrane separation-based regenerators. Comput. Chem. Eng. 42: 48-63 (2012) - [j15]Ozlem Akgul, Nilay Shah
, Lazaros G. Papageorgiou
:
An optimisation framework for a hybrid first/second generation bioethanol supply chain. Comput. Chem. Eng. 42: 101-114 (2012) - 2011
- [j14]Hlynur Stefansson, Sigrun Sigmarsdottir, Pall Jensson, Nilay Shah
:
Discrete and continuous time representations and mathematical models for large production scheduling problems: A case study from the pharmaceutical industry. Eur. J. Oper. Res. 215(2): 383-392 (2011) - [j13]Sergei S. Kucherenko
, Balazs Feil, Nilay Shah
, Wolfgang Mauntz:
The identification of model effective dimensions using global sensitivity analysis. Reliab. Eng. Syst. Saf. 96(4): 440-449 (2011) - [j12]James Keirstead, Nilay Shah
:
Calculating minimum energy urban layouts with mathematical programming and Monte Carlo analysis techniques. Comput. Environ. Urban Syst. 35(5): 368-377 (2011)
2000 – 2009
- 2009
- [j11]Sergei S. Kucherenko
, Maria Rodriguez-Fernandez
, Constantinos C. Pantelides, Nilay Shah
:
Monte Carlo evaluation of derivative-based global sensitivity measures. Reliab. Eng. Syst. Saf. 94(7): 1135-1148 (2009) - 2008
- [j10]Tareq A. Al-Ameri, Nilay Shah
, Lazaros G. Papageorgiou
:
Optimization of vendor-managed inventory systems in a rolling horizon framework. Comput. Ind. Eng. 54(4): 1019-1047 (2008) - [j9]Rui Sousa, Nilay Shah
, Lazaros G. Papageorgiou
:
Supply chain design and multilevel planning - An industrial case. Comput. Chem. Eng. 32(11): 2643-2663 (2008) - 2006
- [j8]Wing Yan Hung, Nouri J. Samsatli, Nilay Shah
:
Object-oriented dynamic supply-chain modelling incorporated with production scheduling. Eur. J. Oper. Res. 169(3): 1064-1076 (2006) - 2005
- [j7]Imad M. Jaimoukha
, Haitham El-Zobaidi, David J. N. Limebeer, Nilay Shah
:
Controller reduction for linear parameter-varying systems with a priori bounds. Autom. 41(2): 273-279 (2005) - [j6]Nilay Shah
:
Process industry supply chains: Advances and challenges. Comput. Chem. Eng. 29(6): 1225-1236 (2005) - [j5]Benjamin Roe, Lazaros G. Papageorgiou
, Nilay Shah
:
A hybrid MILP/CLP algorithm for multipurpose batch process scheduling. Comput. Chem. Eng. 29(6): 1277-1291 (2005) - 2004
- [j4]Nilay Shah
:
Pharmaceutical supply chains: key issues and strategies for optimisation. Comput. Chem. Eng. 28(6-7): 929-941 (2004) - [j3]Wing Yan Hung, Sergei S. Kucherenko
, Nouri J. Samsatli, Nilay Shah
:
A flexible and generic approach to dynamic modelling of supply chains. J. Oper. Res. Soc. 55(8): 801-813 (2004) - 2002
- [j2]Jonatan Gjerdrum, Nilay Shah
, Lazaros G. Papageorgiou
:
Fair transfer price and inventory holding policies in two-enterprise supply chains. Eur. J. Oper. Res. 143(3): 582-599 (2002)
1990 – 1999
- 1995
- [c1]V. D. Dimitriadis, Nilay Shah
, Costas C. Pantelides:
Optimal Design of Hybrid Controllers for Hybrid Process Systems. Hybrid Systems 1995: 244-257 - 1993
- [j1]Nilay Shah
, Constantinos C. Pantelides, R. W. H. Sargent:
Optimal periodic scheduling of multipurpose batch plants. Ann. Oper. Res. 42(1): 193-228 (1993)
Coauthor Index
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