Get started
Author

Akhtar Zeb

Observed name: Zeb, Akhtar
ORCID: 0000-0001-7145-7241
Observed ORCID: 0000-0001-7145-7241
OpenAlex ID: A5032829282
Data harmonisation as a key to enable digitalisation of the food sector: A review
2021 · Akhtar Zeb, Juha-Pekka Soininen, et al. · Food and Bioproducts Processing · 53
PDF
Physics-Based Digital Twins Merging With Machines: Cases of Mobile Log Crane and Rotating Machine
2022 · Emil Kurvinen, Antero Kutvonen, et al. · IEEE Access · 35
PDF
Developing deep learning surrogate models for digital twins in mineral processing – A case study on data-driven multivariate multistep forecasting
2024 · Akhtar Zeb, Joonas Linnosmaa, et al. · Minerals Engineering · 29
Physics-informed machine learning surrogate models: Enhancing data-driven forecasting for digital twins in mineral processing
2025 · Mikko Seppi, Joonas Linnosmaa, et al. · Minerals Engineering · 20
On the alleviation of imminent technical and business challenges of long-lasting functional digital twins
2022 · Akhtar Zeb, Juha Kortelainen, et al. · Computers in Industry · 10
PDF
A Novel Machine Learning-Based Approach for Induction Machine Fault Classifier Development—A Broken Rotor Bar Case Study
2022 · Mikko Tahkola, Áron Szücs, et al. · Energies · 9
PDF
SOLID-MAP: Development of a Materials Acceleration Platform for High-Entropy Alloys
2025 · Atte Antikainen, Tuomas Jokiaho, et al. · Journal of Materials Engineering and Performance · 4
PDF
A microservices-based architecture for data and software management of heavy equipment digital twins
2023 · Victor Zhidchenko, Egor Startcev, et al. · 2022 IEEE 20th International Conference on Industrial Informatics (INDIN) · 4
Advancing remote handling capabilities in the nuclear industry with AI-based surrogate models for robotic technologies
2025 · Akhtar Zeb, Petteri Kokkonen, et al. · Fusion Engineering and Design · 2
Managing digital-twin lifecycle – recognition and handling of business risks
2021 · Tero Rantala, Minna Saunila, et al. · Routledge eBooks · 2
Industrial IoT solutions for digital twins: An overview
2021 · Zeb, Akhtar, Kortelainen, Juha · 2
Synthetic data for developing surrogate models–A case study of multistep forecasting in mineral processing
2025 · Akhtar Zeb, Nikhil Verma, et al. · International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) · 1
Web Ontology Language data modelling of Modelica simulation models
2021 · Akhtar Zeb, Juha Kortelainen · 1
Circular design, state of the art review: Technical design point of view
2021 · Akhtar Zeb, Juha Kortelainen · 1
Artificial intelligence for the support of regulator decision making
2020 · Juha Kortelainen, Akhtar Zeb, et al. · 1
Design rules for steam condensate systems
2017 · Zeb, Akhtar · Doria (University of Helsinki) · 1
Smart Prognostics for Li-Ion Battery Reuse: Machine Learning-based Remaining Useful Life Estimation in Second-Life Applications
2025 · Akhtar Zeb, Pankaj Saha, et al. · IEEE International Conference on Smart Technologies for Power, Energy and Control (STPEC)
Forecasting Process Output Using Machine Learning Surrogates and Digital Twin
2025 · Mikko Seppi, Joonas Linnosmaa, et al.
Gearbox efficiency prediction: combining friction measurements, tribo-dynamics, and surrogate modelling
2025 · Elina Huttunen-Saarivirta, Helena Ronkainen, et al. · SSRN Electronic Journal
Dynamic process optimization using data-driven surrogate models: Application to mineral processing
2025 · Zeb, Akhtar, Linnosmaa, Joonas, et al.
Ontological modelling of creep void analysis data to automate machine learning training process
2022 · Akhtar Zeb, Teemu Mätäsniemi · Research Square
PDF
Works count: 24
Citation count: 176
H-index: 6
I10-index: 5
Year
Topic
Type