Mohammad Salehian

About Mohammad Salehian

Mohammad Salehian, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Heriot-Watt University, specializes in the field of Engineering Optimization, Machine Learning, Digital Manufacturing, Subsurface Energy.

His recent articles reflect a diverse array of research interests and contributions to the field:

Machine learning-assisted system of model for optimisation of directly compressed tablets development processes

AI-assisted optimisation of oral solid dosage forms development

System model driven optimisation of directly compressed tablets development

Hybrid modelling of pharmaceutical mixture properties: predictive solutions for particle size, shape, flow, and density

Digital medicines manufacturing (DM2): AI-driven optimization of oral solid dosage form development

DM2 platform II: AI-driven optimization of oral solid dosage form development

DM2 platform II: development of an automated microscale manufacturing system for oral solid dosage forms

DM2 platform II: AI-assisted optimization of oral solid dosage form development

Mohammad Salehian Information

University

Position

UK

Citations(all)

101

Citations(since 2020)

98

Cited By

20

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Mohammad Salehian Skills & Research Interests

Engineering Optimization

Machine Learning

Digital Manufacturing

Subsurface Energy

Top articles of Mohammad Salehian

Machine learning-assisted system of model for optimisation of directly compressed tablets development processes

2024/3/19

Mohammad Salehian
Mohammad Salehian

H-Index: 4

Daniel Markl
Daniel Markl

H-Index: 16

AI-assisted optimisation of oral solid dosage forms development

CMAC Summer School

2023/6/14

System model driven optimisation of directly compressed tablets development

2023/10/11

Hybrid modelling of pharmaceutical mixture properties: predictive solutions for particle size, shape, flow, and density

10th International Granulation Conference

2023/6/20

Digital medicines manufacturing (DM2): AI-driven optimization of oral solid dosage form development

2022/9/20

DM2 platform II: AI-driven optimization of oral solid dosage form development

2022/6/14

DM2 platform II: development of an automated microscale manufacturing system for oral solid dosage forms

CMAC Annual Open Day 2022

2022/5/16

DM2 platform II: AI-assisted optimization of oral solid dosage form development

2022/5/16

A Multi-Solution Framework for Well Placement Optimization Using Ensemble of Convolutional Neural Networks

2022/3/23

Multi-Solution Well Placement Optimization using Ensemble Learning of Surrogate Models

Geoenergy Science and Engineering

2022/3

Mohammad Salehian
Mohammad Salehian

H-Index: 4

Khafiz Muradov
Khafiz Muradov

H-Index: 11

Robust optimization of well placement and control: enhancing operational applications and computational efficiency

2022

Mohammad Salehian
Mohammad Salehian

H-Index: 4

A Robust, Multi-Solution Framework for Well Placement and Control Optimization

Computational Geosciences

2021/10/12

Mohammad Salehian
Mohammad Salehian

H-Index: 4

Khafiz Muradov
Khafiz Muradov

H-Index: 11

Robust Integrated Optimization of Well placement and Control under Field Production Constraints

Geoenergy Science and Engineering

2021/10/1

Mohammad Salehian
Mohammad Salehian

H-Index: 4

Khafiz Muradov
Khafiz Muradov

H-Index: 11

A Robust, Multi-Solution Framework for Well Location and Control Optimization

2020/9/14

Mohammad Salehian
Mohammad Salehian

H-Index: 4

Khafiz Muradov
Khafiz Muradov

H-Index: 11

Proactive Optimization of CO2 Sequestration under Geomechanical Constraints

2020/8

Mohammad Salehian
Mohammad Salehian

H-Index: 4

Development of a Multi-Solution Framework for Simultaneous Well Placement, Completion, and Control Optimization

2020/6/8

Mohammad Salehian
Mohammad Salehian

H-Index: 4

Khafiz Muradov
Khafiz Muradov

H-Index: 11

Waterflood Analysis in Damaged Formations Using a Multi-Objective Capacitance Resistance Model

2020

Near-Wellbore Characterization Using Stochastic History Matching of Temperature Transient Data

2020

A Dynamic Model for Non-Newtonian Drilling Fluid’s Filtration in Casing Drilling Technology

2020

A Multisolution Optimization Framework for Well Placement and Control

SPE Reservoir Evaluation & Engineering

2020/11/25

Mohammad Salehian
Mohammad Salehian

H-Index: 4

Khafiz Muradov
Khafiz Muradov

H-Index: 11

See List of Professors in Mohammad Salehian University(Heriot-Watt University)

Co-Authors

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