1) Chalmers Information and Communication Technology (ICT) Area of Advance research grant of 900 000 SEK to develop machine learning algorithms for throughput bottleneck analysis ( 2016 - 2019 )

2) Chalmers Production Area of Advance research grant of 100 000 SEK to develop a decision support tool for reactive maintenance in production systems ( 2019 - 2020 )

Industrial engineering journals:

1. International Journal of Production Economics

2. Robotics and Computer Integrated Manufacturing

3. Journal of Manufacturing Systems

4. International Journal of Production Research

5. Production Planning and Control

6. Production and Manufacturing Research

7. Journal of Quality in Maintenance Engineering

8. Advances in manufacturing

Computer science journals:

1. Machine Intelligence (Nature Journal)

2. IEEE access

3. Artificial Intelligence Review

4. Expert Systems with Applications

Other discipline journals:

1. Environmental Science and Pollution Research

2. Cogent Business & Management

1. MPR 271 - Simulation of Production Systems (lab Instructor), Master level course, Chalmers University

• Guided students to build a discrete event simulation model of a production system in Automod Software

2. PPU 161 - Production Systems (lab instructor), Master level course, Chalmers University

• Guided students to perform time studies and line balancing tasks of a production system in AviX software

3. IMS065 - Data science in product realization, Master level course, Chalmers University

• Guest lecture on the advances in the intersection of manufacturing and artificial intelligence

4. TRA 105 - Data-driven product realization, Master level course, Chalmers University

• Guest lecture on the advances in the intersection of manufacturing and artificial intelligence

1. Combining VSM with Digital Data

2. Analytic tool for identifying bottlenecks using Turning Point method A case study on a Flexible Manufacturing Cell at SKF AB

3. Smart Manufacturing systems – A Test bed for decision support tool requirements

4. Data-Driven Maintenance at Gothenburg Trams

5. Data-driven and Variant-based Throughput and Bottleneck Prediction Using Ensembled Machine Learning Algorithms

6. Bottleneck detection in manufacturing - A throughput case study at SCANIA CV .