Scientific Journal Reviewer
CurrentPeer-reviewer for the journal of IEEE Transactions on Neural Networks and Learning Systems (Impact Factor 2019 = 8.793) at IEEE particularly on the topics of the fuzzy theoretic model.
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Fernando Sitorus, M. Eng., Ph. D. is listed as Scientific Journal Reviewer at IEEE, a with 9063 employees, based in London, England, United Kingdom. AeroLeads shows a matched LinkedIn profile for Fernando Sitorus, M. Eng., Ph. D..
Fernando Sitorus, M. Eng., Ph. D. previously worked as Scientific Journal Reviewer at Elsevier and Research Assistant at Imperial College London. Fernando Sitorus, M. Eng., Ph. D. holds Doctor Of Philosophy - Ph. D from Imperial College London.
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A highly diverse mineral processing engineer with over seven years of experience in the mining industry as Plant Metallurgist and Project Metallurgist Engineer in nickel and bauxite processing plant projects, and over two years of experience in research institutions as Researcher in coal washing and iron sand separation projects. Have an excellent mathematical and data analysis background as well as adept at computational programming.I am currently doing research on the development of several Multi-Criteria Decision Making (MCDM) methods with applications in mining and mineral processing with a focus on the selection of the most suitable equipment and renewable energy system. I am also interested in simulation-based process optimisation using multi-objective evolutionary algorithms.Proactively involved in EIT RawMaterials, which is the world's largest innovation community in the raw materials sector, through a series of summer schools, knowledge sharing sessions and technical talks. In addition, I have been actively promoting the application of multiple criteria decision-making method in mining and mineral processing through a series of publications at several reputable journals, and conferences.Specialities: extractive metallurgist engineering, mineral processing plant flow sheet development, acid mine drainage treatment, red mud treatment, laboratory test work, project management, operations research, multiple criteria decision making, and training program implementation.
Listed skills include Operations Research, Coal, Autocad, Project Engineering, and 33 others.
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Peer-reviewer for the journal of IEEE Transactions on Neural Networks and Learning Systems (Impact Factor 2019 = 8.793) at IEEE particularly on the topics of the fuzzy theoretic model.
Peer-reviewer for the journal of Expert Systems With Applications (Impact Factor 2019 = 5.452) and the journal of Minerals Engineering (Impact Factor 2019 = 3.795) at Elsevier particularly on the topics of multiple criteria decision making in mining and mineral processing.
London, England, United Kingdom
The Research Group chaired by Professor Jan J Cilliers.Supervised by Dr Pablo R Brito-Parada, I have been developing multiple criteria decision making methods for determining the most suitable equipment and renewable energy system in mining and mineral processing under uncertainty.
Sdk Plant In Yokohama, Japan
Responsible in Liquor Clarification Process in Bayer Process.
- Provide technical expertise for mineral process plant designs within best practices and cost effective solutions;- Deliver to schedules and budget for test work development and supervision including test work reports; - Contribute to the development of the Process Design Criteria (PDC); - Calculate and evaluate mass balance and equipment sizing;- Compile process description and process criteria documents and other project reporting;- Contribute to review engineering documents and provide feedback to the contractors; - Train the fresh local operator to operate liquor clarification processing plant;- Support other engineering disciplines as required;
- Contribute to development and management of test work program and interpretation of the test work results; - Contribute to the process definition and technology risk mitigation for project;- Contribute to the management of the key process definition deliverables in terms of schedule, cost and quality; - Assist during the definition of the project economic evaluation model and process risk assessment workshops;- Contribute to technology selection process to single go-forward process for project; - Contribute to the management of the key process engineering deliverables in terms of schedule, cost and quality.
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SusCritMat aims to educate people from Master’s student level up, both in industry and academia about important aspects of Sustainable.
Automation and IT technologies have always played a key role in the minerals industry through the development of process automation.
The advances in the theory and practice of MCDA/M have been rapid over the years, covering a wide range of issues, including cognitive.
Activities and Societies: PPI (Persatuan Pelajar Indonesia) Tokodai
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Fernando Sitorus, M. Eng., Ph. D. works for IEEE.
Fernando Sitorus, M. Eng., Ph. D. is listed as Scientific Journal Reviewer at IEEE.
Fernando Sitorus, M. Eng., Ph. D. is based in London, England, United Kingdom while working with IEEE.
Fernando Sitorus, M. Eng., Ph. D. has worked for Ieee, Elsevier, Imperial College London, Pt Antam Tbk (Seconded Engineer In Indonesia Chemical Alumina), and Pt Antam Tbk.
Fernando Sitorus, M. Eng., Ph. D.'s colleagues at IEEE include Riddhi Magdiwar, Khaled Rizk, Susan Sacks, Jennifer Biolsi, and Lan Wang.
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Fernando Sitorus, M. Eng., Ph. D. holds Doctor Of Philosophy - Ph. D from Imperial College London.
Fernando Sitorus, M. Eng., Ph. D. is listed with skills including Operations Research, Coal, Autocad, Project Engineering, Geology, Microsoft Visio, Metallurgy, and Hsc Sim.
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