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Mathematics & Statistics hosts the Marine Population Modelling group which is engaged in research into topics surrounding marine resource modelling and ecology. Recent work has included important developments in the population modelling of marine species.

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Group by: Publication Date | Item type | No Grouping
Jump to: 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018
Number of items: 19.

2024

Salehian, Mohammad and Moores, Jonathan and Goldie, Jonathan and Ibrahim, Isra and Mendez Torrecillas, Carlota and Wale, Ishwari and Abbas, Faisal and Maclean, Natalie and Robertson, John and Florence, Alastair and Markl, Daniel (2024) A hybrid system of mixture models for the prediction of particle size and shape, density, and flowability of pharmaceutical powder blends. International Journal of Pharmaceutics: X, 8. 100298. ISSN 2590-1567

Yazdanpanah, Reza and Mortazavizadeh, Seyed Abolfazl and Salehian, Mohammad and Campos-Gaona, David and Anaya-Lara, Olimpo (2024) Design optimization of inner and outer-rotor PMSGs for X-ROTOR wind turbines. IET Renewable Power Generation, 18 (14). pp. 2605-2618. ISSN 1752-1416

Tait, Theo and Salehian, Mohammad and Aroniada, Magdalini and Shier, Andrew P. and Elkes, Richard and Robertson, John and Markl, Daniel (2024) Empirical model variability : developing a new global optimisation approach to populate compression and compaction mixture rules. International Journal of Pharmaceutics, 662. 124475. ISSN 1873-3476

Maclean, Natalie and Armstrong, John A. and Carroll, Mark A. and Salehian, Mohammad and Mann, James and Reynolds, Gavin and Johnston, Blair and Markl, Daniel (2024) Flexible modelling of the dissolution performance of directly compressed tablets. International Journal of Pharmaceutics, 656. 124084. ISSN 1873-3476

2023

Salehian, Mohammad and Moores, Jonathan and Ibrahim, Isra' Tayseer Mohammad and Abbas, Faisal and Markl, Daniel (2023) Hybrid modelling of pharmaceutical mixture properties : predictive solutions for particle size, shape, flow, and density. In: 10th International Granulation Conference, 2023-06-20 - 2023-06-23.

Salehian, Mohammad and Moores, Jonathan and Abbas, Faisal and Markl, Daniel (2023) AI-Assisted optimisation of oral solid dosage form development : unlocking efficiency and precision. In: CMAC Summer School, 2023-06-14 - 2023-06-16.

2022

Salehian, Mohammad and Abbas, Faisal and Markl, Daniel (2022) Digital medicines manufacturing (DM2) : AI-driven optimization of oral solid dosage form development. In: Leverhulme Research Centre for Functional Materials Design, 2022-09-20 - 2022-09-23, United Kingdom.

Salehian, Mohammad and Sefat, Morteza Haghighat and Muradov, Khafiz (2022) A robust, multi-solution framework for well placement and control optimization. Computational Geosciences, 26 (4). 897–914. ISSN 1573-1499

Salehian, M and Moores, J and Abbas, F and Markl, D (2022) DM2 platform II : AI-assisted optimization of oral solid dosage form development. In: CMAC Annual Open Day 2022, 2022-05-16 - 2022-05-18.

Moores, J and Abbas, F and Salehian, M and Macleod, C and Pierce, S G and Markl, D (2022) DM2 platform II : development of an automated microscale manufacturing system for oral solid dosage forms. In: CMAC Annual Open Day 2022, 2022-05-16 - 2022-05-18.

Salehian, Mohammad and Haghighat Sefat, Morteza and Muradov, Khafiz (2022) Multi-solution well placement optimization using ensemble learning of surrogate models. Journal of Petroleum Science and Engineering, 210. 110076. ISSN 0920-4105

2021

Salehian, Mohammad and Sefat, Morteza Haghighat and Muradov, Khafiz (2021) A multisolution optimization framework for well placement and control. SPE Reservoir Evaluation and Engineering, 24 (4). pp. 923-939. ISSN 1094-6470

Salehian, Mohammad and Sefat, Morteza Haghighat and Muradov, Khafiz (2021) Robust integrated optimization of well placement and control under field production constraints. Journal of Petroleum Science and Engineering, 205. 108926. ISSN 0920-4105

Farahani, M. Vasheghani and Salehian, M. and Jamshidi, S.; (2021) A dynamic model for non-Newtonian drilling fluid's filtration in casing drilling technology. In: 82nd EAGE Conference and Exhibition 2021. European Association of Geoscientists and Engineers, EAGE, NLD, pp. 221-225. ISBN 9781713841449

2020

Salehian, Mohammad and Sefat, Morteza Haghighat and Muradov, Khafiz; (2020) Development of a multi-solution framework for simultaneous well placement, completion, and control optimization. In: Society of Petroleum Engineers - SPE Europec Featured at 82nd EAGE Conference and Exhibition. Society of Petroleum Engineers - SPE Europec Featured at 82nd EAGE Conference and Exhibition . Society of Petroleum Engineers (SPE), NLD, pp. 1-5. ISBN 9781613997123

Salehian, M. and Sefat, M. Haghighat and Muradov, K.; (2020) A robust, multi-solution framework for well location and control optimization. In: ECMOR 2020 - 17th European Conference on the Mathematics of Oil Recovery. ECMOR 2020 - 17th European Conference on the Mathematics of Oil Recovery . European Association of Geoscientists and Engineers, EAGE, Virtual, Online, pp. 1-16. ISBN 9789462823426

2019

Salehian, Mohammad and Çınar, Murat (2019) Reservoir characterization using dynamic capacitance–resistance model with application to shut-in and horizontal wells. Journal of Petroleum Exploration and Production Technology, 9 (4). pp. 2811-2830. ISSN 2190-0566

Soleimani, Rasa and Jahanpeyma, Yaser and Salehian, Mohammad (2019) Analysis of horizontal well productivity in tight gas formations and its sensitivity to reservoir properties. Journal of Petroleum Exploration and Production Technology, 9 (2). pp. 1237-1244. ISSN 2190-0566

2018

Salehian, Mohammad and Temizel, Cenk and Gok, Ihsan Murat and Cinar, Murat and Alklih, Mohammad Y.; (2018) Reservoir management through characterization of smart fields using capacitance-resistance models. In: Society of Petroleum Engineers - Abu Dhabi International Petroleum Exhibition and Conference 2018, ADIPEC 2018. Society of Petroleum Engineers - Abu Dhabi International Petroleum Exhibition and Conference 2018, ADIPEC 2018 . Society of Petroleum Engineers (SPE), ARE. ISBN 9781613996324

This list was generated on Sun Dec 22 10:35:07 2024 GMT.