Danish Ali

About Danish Ali

Danish Ali, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at Missouri University of Science and Technology, specializes in the field of Machine Learning, Artificial Intelligence, Deep Learning, Dynamic Modelling, Virtual Prototyping.

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

Experimental and Machine Learning Studies on Chitosan-Polyacrylamide Copolymers for Selective Separation of Metal Sulfides in the Froth Flotation Process

Advanced Analytics for Surface Mining

Advanced Analytics for Mineral Processing

Impact force modelling for whole body vibration exposure during high impact multi-pass shovel loading operation

DeepHaul: a deep learning and reinforcement learning-based smart automation framework for dump trucks

DeepImpact: a deep learning model for whole body vibration control using impact force monitoring

Computational intelligent impact force modeling and monitoring in HISLO conditions for maximizing surface mining efficiency, safety, and health

Artificial intelligence, machine learning and process automation: Existing knowledge frontier and way forward for mining sector

Danish Ali Information

University

Position

___

Citations(all)

602

Citations(since 2020)

595

Cited By

118

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

10

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Danish Ali Skills & Research Interests

Machine Learning

Artificial Intelligence

Deep Learning

Dynamic Modelling

Virtual Prototyping

Top articles of Danish Ali

Experimental and Machine Learning Studies on Chitosan-Polyacrylamide Copolymers for Selective Separation of Metal Sulfides in the Froth Flotation Process

Colloids and Interfaces

2023/5/17

Advanced Analytics for Surface Mining

2022/2/23

Danish Ali
Danish Ali

H-Index: 6

Advanced Analytics for Mineral Processing

2022/2/23

Danish Ali
Danish Ali

H-Index: 6

Impact force modelling for whole body vibration exposure during high impact multi-pass shovel loading operation

International Journal of Mining, Reclamation and Environment

2021/10/21

Danish Ali
Danish Ali

H-Index: 6

Samuel Frimpong
Samuel Frimpong

H-Index: 13

DeepHaul: a deep learning and reinforcement learning-based smart automation framework for dump trucks

Progress in Artificial Intelligence

2021/6

Danish Ali
Danish Ali

H-Index: 6

Samuel Frimpong
Samuel Frimpong

H-Index: 13

DeepImpact: a deep learning model for whole body vibration control using impact force monitoring

Neural Computing and Applications

2021/4

Danish Ali
Danish Ali

H-Index: 6

Samuel Frimpong
Samuel Frimpong

H-Index: 13

Computational intelligent impact force modeling and monitoring in HISLO conditions for maximizing surface mining efficiency, safety, and health

2021

Danish Ali
Danish Ali

H-Index: 6

Artificial intelligence, machine learning and process automation: Existing knowledge frontier and way forward for mining sector

Artificial Intelligence Review

2020/12

Danish Ali
Danish Ali

H-Index: 6

Samuel Frimpong
Samuel Frimpong

H-Index: 13

Multi-body dynamic modelling of ultra-large dump truck-haul road interactions towards haul road design integrity

International Journal of Mining, Reclamation and Environment

2020/10/20

Samuel Frimpong
Samuel Frimpong

H-Index: 13

Danish Ali
Danish Ali

H-Index: 6

Adoption of autonomous mining system in Pakistan–Policy, skillset, awareness and preparedness of stakeholders

Resources Policy

2020/10/1

Danish Ali
Danish Ali

H-Index: 6

Atta Ur Rehman
Atta Ur Rehman

H-Index: 2

Machine Learning Models for Progression Tracking of Impulse Force during High Impact Shovel Loading Operation

2020

Danish Ali
Danish Ali

H-Index: 6

Samuel Frimpong
Samuel Frimpong

H-Index: 13

See List of Professors in Danish Ali University(Missouri University of Science and Technology)