Optimal periodic scheduling of multipurpose batch plants. - Nilay Shah; Constantinos C. Pantelides; R. W. H. Sargent (Ann. Oper. Res., 1993)

Optimal Design of Hybrid Controllers for Hybrid Process Systems. - V. D. Dimitriadis; Nilay Shah; Costas C. Pantelides (Hybrid Systems, 1995)

Fair transfer price and inventory holding policies in two-enterprise supply chains. - Jonatan Gjerdrum; Nilay Shah; Lazaros G. Papageorgiou (Eur. J. Oper. Res., 2002)

Pharmaceutical supply chains: key issues and strategies for optimisation. - Nilay Shah (Comput. Chem. Eng., 2004)

A flexible and generic approach to dynamic modelling of supply chains. - Wing Yan Hung; Sergei S. Kucherenko; Nouri J. Samsatli; Nilay Shah (J. Oper. Res. Soc., 2004)

Controller reduction for linear parameter-varying systems with a priori bounds. - Imad M. Jaimoukha; Haitham El-Zobaidi; David J. N. Limebeer; Nilay Shah (Autom., 2005)

A hybrid MILP/CLP algorithm for multipurpose batch process scheduling. - Benjamin Roe; Lazaros G. Papageorgiou; Nilay Shah (Comput. Chem. Eng., 2005)

Process industry supply chains: Advances and challenges. - Nilay Shah (Comput. Chem. Eng., 2005)

Object-oriented dynamic supply-chain modelling incorporated with production scheduling. - Wing Yan Hung; Nouri J. Samsatli; Nilay Shah (Eur. J. Oper. Res., 2006)

Optimization of vendor-managed inventory systems in a rolling horizon framework. - Tareq A. Al-Ameri; Nilay Shah; Lazaros G. Papageorgiou (Comput. Ind. Eng., 2008)

Supply chain design and multilevel planning - An industrial case. - Rui Sousa; Nilay Shah; Lazaros G. Papageorgiou (Comput. Chem. Eng., 2008)

Monte Carlo evaluation of derivative-based global sensitivity measures. - Sergei S. Kucherenko; Maria Rodriguez-Fernandez; Constantinos C. Pantelides; Nilay Shah (Reliab. Eng. Syst. Saf., 2009)

Discrete and continuous time representations and mathematical models for large production scheduling problems: A case study from the pharmaceutical industry. - Hlynur Stefansson; Sigrun Sigmarsdottir; Pall Jensson; Nilay Shah (Eur. J. Oper. Res., 2011)

The identification of model effective dimensions using global sensitivity analysis. - Sergei S. Kucherenko; Balazs Feil; Nilay Shah; Wolfgang Mauntz (Reliab. Eng. Syst. Saf., 2011)

Calculating minimum energy urban layouts with mathematical programming and Monte Carlo analysis techniques. - James Keirstead; Nilay Shah (Comput. Environ. Urban Syst., 2011)

An optimisation framework for a hybrid first/second generation bioethanol supply chain. - Ozlem Akgul; Nilay Shah; Lazaros G. Papageorgiou (Comput. Chem. Eng., 2012)

A superstructure optimization approach for water network synthesis with membrane separation-based regenerators. - Cheng Seong Khor; Benoît Chachuat; Nilay Shah (Comput. Chem. Eng., 2012)

Metamodelling with independent and dependent inputs. - Miguel Munoz Zuniga; Sergei S. Kucherenko; Nilay Shah (Comput. Phys. Commun., 2013)

Workforce planning and technology installation optimisation for utilities. - Mark G. Jennings; Nilay Shah (Comput. Ind. Eng., 2014)

Sustainable supply chain optimisation: An industrial case study. - Qi Zhang; Nilay Shah; John M. Wassick; Rich Helling; Peter van Egerschot (Comput. Ind. Eng., 2014)

A Methodology for Simulating Synthetic Populations for the Analysis of Socio-technical Infrastructures. - Koen H. van Dam; Gonzalo Bustos-Turu; Nilay Shah (ESSA, 2015)

Implementing land-use and ecosystem service effects into an integrated bioenergy value chain optimisation framework. - Miao Guo; Goetz M. Richter; Robert A. Holland; Felix Eigenbrod; Gail Taylor; Nilay Shah (Comput. Chem. Eng., 2016)

Global sensitivity analysis using sparse high dimensional model representations generated by the group method of data handling. - Romain S. C. Lambert; Frank Lemke; Sergei S. Kucherenko; Shufang Song; Nilay Shah (Math. Comput. Simul., 2016)

A systems approach to quantifying the value of power generation and energy storage technologies in future electricity networks. - Clara Heuberger; Iain Staffell; Nilay Shah; Niall Mac Dowell (Comput. Chem. Eng., 2017)

Sobol' indices for problems defined in non-rectangular domains. - Sergei S. Kucherenko; Oleksiy V. Klymenko; Nilay Shah (Reliab. Eng. Syst. Saf., 2017)

Iterative peptide synthesis in membrane cascades: Untangling operational decisions. - Wenqian Chen; Mahdi Sharifzadeh; Nilay Shah; Andrew G. Livingston (Comput. Chem. Eng., 2018)

An integrated optimisation platform for sustainable resource and infrastructure planning. - Charalampos P. Triantafyllidis; Rembrandt H. E. M. Koppelaar; Xiaonan Wang 002; Koen H. van Dam; Nilay Shah (Environ. Model. Softw., 2018)

Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices. - Michael D. Abràmoff; Philip T. Lavin; Michele Birch; Nilay Shah; James C. Folk (npj Digit. Medicine, 2018)

Assessing the Modelling Approach and Datasets Required for Fault Detection in Photovoltaic Systems. - Max Bird; Salvador Acha; Niccolo Le Brun; Nilay Shah (IAS, 2019)

Development of a responsive optimisation framework for decision-making in precision agriculture. - Qingyuan Kong; Kamal Kuriyan; Nilay Shah; Miao Guo (Comput. Chem. Eng., 2019)

Constrained global sensitivity analysis for bioprocess design space identification. - Pavlos Kotidis; Panagiotis Demis; Cher H. Goey; Elisa Correa; Calum McIntosh; Stefania Trepekli; Nilay Shah; Oleksiy V. Klymenko; Cleo Kontoravdi (Comput. Chem. Eng., 2019)

Assisting continuous biomanufacturing through advanced control in downstream purification. - Maria M. Papathanasiou; Baris Burnak; Justin Katz; Nilay Shah; Efstratios N. Pistikopoulos (Comput. Chem. Eng., 2019)

Energy-water nexus design and operation towards the sustainable development goals. - Xiaonan Wang 002; Koen H. van Dam; Charalampos P. Triantafyllidis; Rembrandt H. E. M. Koppelaar; Nilay Shah (Comput. Chem. Eng., 2019)

European supply chains for carbon capture, transport and sequestration, with uncertainties in geological storage capacity: Insights from economic optimisation. - Federico d'Amore; Nixon Sunny; Diana Iruretagoyena; Fabrizio Bezzo; Nilay Shah (Comput. Chem. Eng., 2019)

Design and Development of Underwater Vehicle: ANAHITA. - 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; et al. (CoRR, 2019)

Whole-System Assessment of the Benefits of Integrated Electricity and Heat System. - Xi Zhang 014; Goran Strbac; Nilay Shah; Fei Teng 005; Danny Pudjianto (IEEE Trans. Smart Grid, 2019)

Optimal design of low-cost supply chain networks on the benefits of new product formulations. - Songsong Liu; Lazaros G. Papageorgiou; Nilay Shah (Comput. Ind. Eng., 2020)

Computationally efficient identification of probabilistic design spaces through application of metamodeling and adaptive sampling. - Sergei S. Kucherenko; Dimitrios Giamalakis; Nilay Shah; Salvador García Muñoz (Comput. Chem. Eng., 2020)

Integration of an Energy Management Tool and Digital Twin for Coordination and Control of Multi-vector Smart Energy Systems. - Edward O'Dwyer; Indranil Pan; Richard Charlesworth; Sarah Butler; Nilay Shah (CoRR, 2020)

Outcomes-Driven Clinical Phenotyping in Cardiogenic Shock using a Mixture of Experts. - Nathan C. Hurley; Alyssa Berkowitz; Frederick Masoudi; Joseph S. Ross; Nihar Desai; Nilay Shah; Sanket S. Dhruva; Bobak J. Mortazavi (BHI, 2021)

Data-driven predictive control with reduced computational effort and improved performance using segmented trajectories. - Edward O'Dwyer; Eric C. Kerrigan; Paola Falugi; Marta A. Zagorowska; Nilay Shah (CoRR, 2021)

Assessment of intermediate storage and distribution nodes in personalised medicine. - Andrea Bernardi; Miriam Sarkis; Niki Triantafyllou; Matthew Lakelin; Nilay Shah; Maria M. Papathanasiou (Comput. Chem. Eng., 2022)

Risk mitigation in model-based experiment design: A continuous-effort approach to optimal campaigns. - Kennedy Putra Kusumo; Kamal Kuriyan; Shankarraman Vaidyaraman; Salvador García Muñoz; Nilay Shah; Benoît Chachuat (Comput. Chem. Eng., 2022)

Multi-model assessment of heat decarbonisation options in the UK using electricity and hydrogen. - Marko Aunedi; Maria Yliruka; Shahab Dehghan; Antonio Marco Pantaleo; Nilay Shah; Goran Strbac (CoRR, 2022)

Developing an ETL tool for converting the PCORnet CDM into the OMOP CDM to facilitate the COVID-19 data integration. - Yue Yu; Nansu Zong; Andrew Wen; Sijia Liu 002; Daniel J. Stone; David Knaack; Alanna M. Chamberlain; Emily R. Pfaff; Davera Gabriel; Christopher G. Chute; Nilay Shah; Guoqian Jiang (J. Biomed. Informatics, 2022)

A Linearized Mathematical Formulation for Combined Centralized and Distributed Waste Water Treatment Network Design. - Pantelis Broukos; Antonios Fragkogios; Nilay Shah (Oper. Res. Forum, 2022)

Application of Active Subspaces for Model Reduction and Identification of Design Space. - Sergei S. Kucherenko; Nilay Shah; Oluyemi Zaccheus (LSSC, 2023)

Data-Driven Predictive Control With Improved Performance Using Segmented Trajectories. - Edward O'Dwyer; Eric C. Kerrigan; Paola Falugi; Marta A. Zagorowska; Nilay Shah (IEEE Trans. Control. Syst. Technol., 2023)

Detail or uncertainty? Applying global sensitivity analysis to strike a balance in energy system models. - Maria Yliruka; Stefano Moret; Nilay Shah (Comput. Chem. Eng., 2023)

Hierarchical planning-scheduling-control - Optimality surrogates and derivative-free optimization. - Damien van de Berg; Nilay Shah; Ehecatl Antonio del Rio-Chanona (Comput. Chem. Eng., 2024)

Design space identification of a coupled two-stage batch reactor system. - Sergei S. Kucherenko; Nannapat Sopittakamol; Nilay Shah (Comput. Chem. Eng., 2024)

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. - Chenxi Li; Nilay Shah; Zheng Li 019; Pei Liu 002 (Comput. Chem. Eng., 2024)

Analytical Identification of Design and Multidimensional Spaces Using R-Functions. - Sergei S. Kucherenko; Oleksiy V. Klymenko; Nilay Shah (CoRR, 2024)

Robust co-design framework for buildings operated by predictive control. - Paola Falugi; Edward O'Dwyer; Marta A. Zagorowska; Eric C. Kerrigan; Yuanbo Nie; Goran Strbac; Nilay Shah (CoRR, 2024)

Analytical identification of process design spaces using R-functions. - Sergei S. Kucherenko; Nilay Shah; Oleksiy V. Klymenko (Comput. Chem. Eng., 2025)

Resilient pharmaceutical supply chains: Assessment of stochastic optimization strategies for process uncertainty integration in network design problems. - Miriam Sarkis; Nilay Shah; Maria M. Papathanasiou (Comput. Chem. Eng., 2025)

Identification of Feasible Regions Using R-Functions. - Sergei S. Kucherenko; Nilay Shah; Oleksiy V. Klymenko (CoRR, 2025)