diff --git a/resume/index.html b/resume/index.html index 8fc950e..2345249 100644 --- a/resume/index.html +++ b/resume/index.html @@ -88,11 +88,11 @@

Teaching and Democratizing AI<
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Experience

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Educational and Industrial Experiences



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Feb. 2023 - Presen
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  • Educating and supervising students on their courses and projects to boost up their knowledge and expertise in understanding of core elements in the market, supply chain, and the mining industry
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  • Educating, supervising, and assessing students on their courses and projects to boost up their knowledge and expertise in understanding of core elements in the market, supply chain, and the mining industry
    • Few examples of topics/courses:
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      • Mineral Resource Geology and Modelling
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      • Mineral Resource Geology and Modelling (AESB3343)
        • Mining: an Overview, Revision of Probability and Statistics, EDA, Variographie, The Random Function model and its inferring, Spatial Interpolation and Kriging, Cross Validation, Conversion Resources to Reserves, Reporting Standards
        • Literature-based Assignments: Mining, and Overview; Lithium Pegmatites
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        • Programming-based Assignments: Data Interpretation and Variography; Ordinary vs Simple Kriging
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        • Programming-based Assignments: Data Interpretation and Variography; Ordinary vs Simple Kriging using Python
        • Software-based Project: Resource Estimation and Modelling using Datamine Studio RM
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      • Field Exploration Project (FEP)
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      • Geo-resource B-Module
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      • Simulation and Optimization
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      • Field Exploration Project (FEP) (AESB3340)
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        • Case Study: Lindum Reef (Black Reef) Gold-Uranium project area in South Africa
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        • Creating two syntethic independent datasets for educational purposes using Python
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        • Geological Modelling of Overburden, Black Reef, and Basement so-called layers ( channel facies ) and creating a sketch of open-pit mine using Datamine Studio RM and Python
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        • Gold and Uranium Estimation across the zones, considering criteria of JORC code and subsequent studies in resource classification
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        • Conducting economic evaluations based on Technical, Economics, Market, and Environment dynamics
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      • Geo-resource B-Module (AESM404B)
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        • Block Kriging, Indicator Kriging, Geostatistical Simulation, Conversion Resources to Reserves, Reporting Standards
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        • Project: finding potential areas for further drilling based on current conditions on the dataset using Simluation techniques with Datamine Studio RM, Datamine Supervisor, SGeMS, and Python; case study: San Antonio underground mine deposit, Spain
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      • Optimization
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  • Teaching new software skills, algorithms, programming skills, and practical approaches to encourage students in having critical thinking and tackling unforeseen problems
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    • Few examples of software and subjects:
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      • Datamine Studio RM, Datamine Supervisor, SGeMS, Python,
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      • Kriging, Simulation, Geostatistics, Variography, Cross Validation, Resource Classification, Reporting Standards, Uncertainty Quantification, EDA, Outliers, Data Processing
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  • Teaching new software skills, algorithms, and approaches to encourage students following critical thinking and tackling unforeseen problems, such as data-driven Modelling of Mineral Resource Estimation and Evaluation
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  • Projects involved:
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  • Projects and Theses involved in:
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    • Bayesian Evidential Learning (BEL) Applied to Mineral Resource Modelling to Reduce Uncertainties - Presented by Aafje Houben and Dr. Masoud S. Shishvan, in 22nd +
    • Bayesian Evidential Learning (BEL) Applied to Mineral Resource Modelling to Reduce Uncertainties
      Presented by Aafje Houben for her thesis and the conference, with the supervision of Dr. Masoud S. Shishvan, in 22nd Annual Conference of the International Association for Mathematical Geosciences (IAMG)
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    • Data-Driven Modelling of Mineral Resource Estimation and Evaluation
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    • The Application of Kriging and Conditional Simulation in Resource Classification
      Presented by Lola Mahnke, with the supervision of Dr. Mike Buxton and Dr. Masoud S. Shishvan
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    • Effect of soil properties and soil moisture on gas transport and treatment in an engineered landfill biofilter system
      Presented by Sophie Maijoor, with the supervision of Dr. Masoud S. Shishvan
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    • Optimal Placement of Capacitive Electrodes in a Monitoring Borehole Purposes for the Campus Geothermal Project at TU Delft
      Presented by Marco Huy Bortolotti, stood as external committee member
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    • Preventing haul truck-related fatalities in open pit mining using gamified training simulation
      Presented by Lennart Vos, with the supervision of Dr. Masoud S. Shishvan
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    • Safety Assessment for the Implementation of Autonomous Haulage Systems in an Open-Pit Mine
      Presented by Mario Alejandro, with the supervision of Dr. Masoud S. Shishvan
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Project Coordinator / Process Engineer

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Project Coordinator / Junior Process Engineer

Faratahghigh-E-Sepahan, Isfahan-Tehran, Iran
Aug. 2016 - Feb. 2023
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Aug. 2016 - Feb. 2
  • Familiar with bases of EPC Projects
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  • Familiar with WBS, MDR, Data Sheets, inquiries, TC, TBE, and contractual issues
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    • Working with WBS, MDR, Data Sheets, inquiries, TC, TBE, and dealing with contractual issues
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  • Schedule and manage meetings with clients, vendors, and consultants
  • Monitor and follow up project workflow and procedures
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  • Projects:
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    • GEG Lime Co. Engineering
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    • GEG Pre-concentration of 4th line
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    • Gohar-Zamin Pelletizing Plant I
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    • Gohar-Podre-Pars Bentonite production
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    • Departments of Mechanical Engineering, Electrial and Automation Engineering, Fluid Engineering, R&D, and Management
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  • Projects involved in:
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    • GEG Lime Co. Engineering
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      • Engineering and Procurement
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    • GEG Pre-concentration of 4th line
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      • Engineering and Procurement
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    • Gohar-Zamin Pelletizing Plant I
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      • Engineering, Procurement, and Construction
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    • Gohar-Podre-Pars Bentonite production
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      • Mostly on Pre-feasibility Studies
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Aug. 2016 - Feb. 2
  • Study new algorithms and approaches to solve traditional or unseen issues in quantification, evaluation, and assessment
  • Projects:
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    • Pre-feasibility studies of Ferrosilicon production in Mobarake Steel Co.
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    • Scientific studies about capability of raymond mills for bentonite pulverization
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    • Pre-feasibility studies of water consumption by lattice sheets in cooling towers
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    • Pre-feasibility studies of Ferrosilicon production in Mobarake Steel Co.
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    • Scientific studies about capability of raymond mills for bentonite pulverization
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    • Pre-feasibility studies of water consumption by lattice sheets in cooling towers
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    Main Project: Creating operating data-based models to quantify iron ore pelletization with Artificial Intelligence: a case study
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  • Main achievement: Creating operating data-based models to quantify iron ore pelletization with Artificial Intelligence: a case study on Gol-E-Gohar I pelletizing plant
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    Sep. 2013 - May 20
  • Teach and examine student on their courses and define projects to enhance their knowledge and expertise
  • Courses involved:
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    • Mineralogy, Optical Mineralogy, Petrology, Optical Petrology, Mineralography
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    • Fundamentals of Minerals Exploration, Ore Reserve Evaluation, Fundamentals of Resource Estimation and Evaluation
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    • Mineralogy, Optical Mineralogy, Petrology, Optical Petrology, Mineralography
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    • Fundamentals of Minerals Exploration, Ore Reserve Evaluation, Fundamentals of Resource Estimation and Evaluation