Research Associates

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CCG Research Associates

CCG Research Associates have Ph.D. degrees and offer extensive industry project experience. In addition to performing independent CCG research, they advise students, conduct graduate student seminars, and consult on industry projects.

Camilla Zacche da Silva

Research Associate

Camilla ZaccheCamilla Zacche da Silva, completed her B.Sc. in Physics from the Federal University of Rio Grande do Sul, Brazil in 2010.  In 2013 completed the MSc. in Mining Engineering, at the Federal University of Rio Grande do Sul. The M.Sc. dissertation focused on the use of factorization methods applied to resource estimation for complex multivariate deposits. During the M.Sc. has received two awards referring to the work developed on factorization methods: 36th-APCOM SME Scholarship (2013) and CBMINA – Graduate student category, 2nd place (2014). Completed the Ph.D. in Mining Engineering in 2018 at the Federal University of Rio Grande do Sul, with research focused on better ore grade predictions with incomplete data sets.  In 2020 Received the Wardell Armstrong Prize from IOM3 for the paper published related to her Ph.D. thesis.  

Research

  • Grade control models with machine learning methods
  • SVR applied medium term resource modeling

Publications

Scientific Journals:

  1.  DA SILVA, CAMILLA ZACCHE; COSTA, JOÃO FELIPE COIMBRA LEITE
    The treatment of missing “not at random” geological data for ore grade modelling. Applied Earth Sciences (online). doi: 10.1080/25726838.2018.1547508 Awarded: Wardell Armstrong Prize – The Institute of Material, Mineral and Mining (IOM3)
  2.  DA SILVA, CAMILLA ZACCHÉ DA; COSTA, JOÃO FELIPE COIMBRA LEITE
    Minimum/maximum autocorrelation factors applied to grade estimation. REM. Revista Escola de Minas (Printed). v.67, p.209 – 214, 2014.
  3. DA SILVA, CAMILLA ZACCHÉ; COSTA, JOÃO FELIPE COIMBRA LEITE
    Minimum/maximum autocorrelation factors applied to grade estimation. Stochastic Environmental Research and Risk Assessment (Print). v.28, p.1 – 10, 2014.
Events and Presentations:
  1. 1. SILVA, C. Z.; RODRIGUES, A. L.; COSTA, J. F. C. L.; ALVES, J. L.; AMARAL, A. M.
  2. Version control system applied to resource modeling projects (accepted), 2019, 39th APCOM (Congress, Presentations in Events).
  3. 2. KLOECKNER, J.; SILVA, C. Z.; COSTA, J. F. C. L.
    Covariance table and PPMT: spatial continuity mapping of multiple variables (accepted), 2019, 39th APCOM (Congress, Presentations in Events).
    3. SILVA, C. Z.; COSTA, J. F. C. L.
    Missing not at random geologic data analysis (Análise de dados geológicos faltantes sob mecanismo não aleatório), 2018, 9th Brazilian congress in open pit and underground mining (Congress, Presentations in Events).
    4. SILVA, C. Z.; COSTA, J. F. C. L.
    Missing Data: How to proceed? 2016, 10th International geostatistics congress (Congress, Presentations in Events).
  4. 5. SILVA, C. Z.; COSTA, J. F. C. L.
    Minimum – maximum autocorrelation factors applied to grade estimation, (Fatores de mínima-máximas autocorrelações aplicada à estimativa de teores), 2014, 8th Brazilian congress in open pit and underground mining (Congress, Presentations in Events). Awarded: 2nd place in the category – Graduate students.
    6. SILVA, C. Z.; SHIBATA, H. Y.; COSTA, J. F. C. L.
    Minimum/ Maximum autocorrelation factors applied in grade estimation, 36th APCOM, 2013, (Congress, Presentations in Events). Awarded: 36th-APCOM SME Scholarship.
    7. Luciana Arnt Abichequer; SILVA, C. Z.; Maria Noel Morales Boezio; COSTA, J. F. C. L.
    MAF decomposition applied to compositional geostatistical data (Decomposição MAF aplicada a geoestatística de dados composicionais), 2012, 7th Brazilian congress in open pit and underground mining (Congress, Presentations in Events)
    8. George Olumfumilayo Gasper; SILVA, C. Z.; Breno Gorelik; SOUZA, V. C. G.; Paulo Salvadoretti; COSTA, J. F. C. L.; Jair Carlos Koppe
    Coal quality estimation through geophysical log and its use in short term mine planning (Estimativa de qualidade de carvão a partir de perfilagem geofísica e seu uso no planejamento de lavra a curto prazo), 2011, 3rd Coal Brazilian congress (Congress, Presentations in Events).

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Gamze Erdogan Erten

Research Associate

Gamze Erdogan Erten received the BSc and MSc degrees in Mining Engineering from Hacettepe University and Eskisehir Osmangazi University, Turkey in 2013 and 2017, respectively. She spent a semester at Curtin University’s Western Australian School of Mines in the scope of her MSc project. She is currently working as a research assistant and pursuing her Ph.D. study at the Mining Engineering Department at Eskisehir Osmangazi University. She recently joined the CCG research group as a visiting researcher at the University of Alberta.

Research

  • Spatial Data Estimation with Machine Learning.

Publications

Peer-Reviewed
  1. Erdogan, G., et al. “Implementation and comparison of four stope boundary optimization algorithms in an existing underground mine.” International Journal of Mining, Reclamation and Environment 31.6 (2017): 389-403.
Conference
  1. Erdogan, Gamze, and Mahmut Yavuz. “Application of Three Existing Stope Boundary Optimisation Methods in an Operating Underground Mine.” IOP Conference Series: Earth and Environmental Science. Vol. 95. No. 4. IOP Publishing, 2017.

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Mostafa Hadavand

Research Associate

Mostafa, H. (2017) Integration of 4D Seismic Data in Reservoir Characterization with Facies Parameter Uncertainty, PhD thesis.

Background Before Joining the CCG

Mostafa was a Ph.D. student in the CCG from 2013 to 2017. He obtained his B.Sc. in Mechanical Engineering from Iran University of Science and Technology (Tehran, Iran) in 2008 and his M.Sc. in the same field from Sharif University of Technology (Tehran, Iran) in 2011. Before joining CCG, he was a Research Assistant in the Canadian Surgical Technologies and Advanced Robotics (CSTAR). Mostafa also holds an M.Esc in Biomedical engineering from the University of Western Ontario.

Occupations Since Leaving the CCG

Analytics Lead/BI Consultant, Silver Creek, Edmonton, AB

Current Research Interests

  • Multivariate Data Imputation
  • Facies modelling
  • Reservoir characterization
  • Machine learning
  • Data assimilation

Publications

Peer Reviewed Journal Papers:

  1. Hadavand, M., & Deutsch, C. V. (2017). Facies Proportion Uncertainty in the Presence of a Trend. Journal of Petroleum Science and Engineering.
  2. Hadavand, M., & Deutsch, C. V. (2016). A Practical Methodology For Integration of 4D Seismic in Steam-Assisted-Gravity-Drainage Reservoir Characterization. SPE Journal of ReservoirEvaluation & Engineering.

CCG Papers and Guidebooks:

  1. Mostafa Hadavand & Clayton V. Deutsch, 2019, Multivariate Data Imputation Using Generalized Lambda Distribution and Multi Layer Perceptron Neural Networks, CCG Paper 2019-126, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  2. Mostafa Hadavand and Clayton V. Deutsch. (2016) Improved Sampling of Multivariate Parameter Uncertainty, CCG Paper 2016-123, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada.
  3. Mostafa Hadavand and Clayton V. Deutsch. (2016) Multivariate Spatial Bootstrap Using Sequential Stochastic Simulation at Data Locations, CCG Paper 2016-124, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada.
  4. Mostafa Hadavand and Clayton V. Deutsch. (2016) A comprehensive Example on SAGD Characterization and Geostatistical Anomaly Enforcement, CCG Paper 2016-203, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada.
  5. Mostafa Hadavand and Clayton V. Deutsch. (2016) Updated BlockSIS (sequential indicator simulation) for Proportion Reproduction, CCG Paper 2016-411, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  6. Mostafa Hadavand and Clayton V. Deutsch. (2016) Proportion Uncertainty for Categorical Variables in Presence of a Trend, CCG Paper 2016-104, Centre for Computational Geostatistics, University of Alberta, Edmonton, Canada
  7. Mostafa Hadavand, Clayton V. Deutsch. (2015) Improving SAGD Reservoir Modeling by Geostatistical Enforcement of Anomalies in Fluid Flow, CCG Paper 2015-203, Centre of Computational Geostatistics (CCG), Edmonton, Alberta.
  8. Mostafa Hadavand, Clayton V. Deutsch. (2015) Engineering Rotation Angles Translated to GSLIB Convention, CCG Paper 2015-134, Centre of Computational Geostatistics (CCG), Edmonton, Alberta.
  9. Mostafa Hadavand, Clayton v. Deutsch. (2014) An Example Application of Ensemble Kalman Filter with Flow-based Pressure Data, Centre of Computational Geostatistics (CCG), Edmonton, Alberta.

Other Peer Reviewed Publications:

  1. Hadavand, M., Mirbagheri, A., Behzadipour, S., & Farahmand, F. (2014). A novel remote center of motion mechanism for the force-reflective master robot of haptic tele-surgery systems. The International Journal of Medical Robotics and Computer Assisted Surgery, 10(2), 129-139.
  2. Hadavand, M., Naish, M. D., & Patel, R. V. (2014, August). A parallel Remote Center of Motion mechanism for needle-based medical interventions. In Biomedical Robotics and Biomechatronics (2014 5th IEEE RAS & EMBS International Conference on (pp. 1-6). IEEE.
  3. Hadavand, M., Mirbagheri, A., Salarieh, H., & Farahmand, F. (2011, August). Design of a force-reflective master robot for haptic telesurgery applications: Robomaster1. In Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE (pp. 7037-7040). IEEE.
  4. Khalaji, I., Hadavand, M., Asadian, A., Patel, R. V., & Naish, M. D. (2013, November). Analysis of needle-tissue friction during vibration-assisted needle insertion. In 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (pp. 4099-4104). IEEE.

Thesis:

  1. Hadavand, M., Integration of 4D Seismic Data in Reservoir Characterization with Facies Parameter Uncertainty, University of Alberta, Edmonton, Alberta, Canada, September 2017.
  2. Hadavand, M., Design and Development of a Surgical Robot for Needle-Based Interventions, University of Western Ontario, London, Ontario, Canada, April 2014.

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Oktay Erten

Research Associate

Oktay Erten is qualified as a mining engineer with a Ph.D. degree from the University of Queensland, Australia. His research project, which was sponsored by Rio Tinto Alcan, focused on modeling the base of a lateritic bauxite deposit using borehole and geophysical data. After obtaining his doctoral degree in 2012, he worked as a lecturer in mining engineering at Curtin University’s Western Australian School of Mines (WASM) for five years. During his appointment at WASM, he was involved in several teaching, research, and administrative activities. In 2017, he moved to Fontainebleau, France to pursue a post master’s degree in Geostatistics (CFSG) at Centre de Géosciences (Mines Paris Tech) for one year. After the completion of his degree in Fontainebleau, he has recently joined the Centre for Computational Geostatistics as a research associate.

Research

  • Multivariate modeling of spatial attributes
  • Merging probability distributions from various types of geoscience information

Publications

Peer-reviewed journals

  1. Erten, O. & Deutsch, C.V. (2020). Combination of Multivariate Gaussian Distributions through Error Ellipses. In J.L. Deutsch (Ed.), Geostatistics Lessons.
  2. Zhang, H., Erten, O. & Deutsch, C.V. (2020). Bayesian Updating for Combining Conditional Distributions. In J.L. Deutsch (Ed.), Geostatistics Lessons.
  3. Erten, O., Renard, D. & McAndrew, L. (2020) Modelling of Bauxite Seam Attributes and Quantifying in-situ Ore Volume Uncertainty in the Presence of Geophysical Information, Applied Earth Science, 129:1, 41-51
  4. Xiao, F., Wang, K., Hou, W. & Erten, O. (2020) Identifying Geochemical Anomaly through Spatially Anisotropic Singularity Mapping: A Case Study from Silver-Gold Deposit in Pangxidong District, SE China, Journal of Geochemical Exploration, 210, 106453
  5. Erten, O., Pardo-Igúzquiza, E. & Olea, R.A. (2019) Assessment of Experimental Semivariogram Uncertainty in the Presence of a Polynomial Drift, Natural Resources Research, 29, 1087–1099
  1. Dagasan, Y., Erten, O., Renard, P., Straubhaar, J. & Topal, E. (2019) Multiple-Point Statistical Simulation of the Ore Boundaries for a Lateritic Bauxite Deposit, Stochastic Environmental Research and Risk Assessment, 33 (3), 865-878
  2. Dagasan, Y., Renard, P., Straubhaar, J., Erten, O., & Topal, E. (2019) Pilot Point Optimization of Mining Boundaries for Lateritic Metal Deposits: Finding the Trade-off between Dilution and Ore Loss, Natural Resources Research, 28 (1), 153-171
  3. Mai, N.L., Topal, E., Erten, O. & Sommerville, B. (2019) A New Risk-Based Optimisation Method for the Iron Ore Production Scheduling Using Stochastic Integer Programming, Resources Policy, 62, 571-579
  4. Xiao, F., Chen, J., Hou, W., Wang, Z., Zhou, Y. & Erten, O. (2018) A Spatially Weighted Singularity Mapping Method Applied to Identify Epithermal Ag And Pb-Zn Polymetallic Mineralization Associated Geochemical Anomaly in Northwest Zhejiang, China, Journal of Geochemical Exploration, 189, 122-137
  5. Dagasan, Y., Renard, P., Straubhaar, J., Erten, O., & Topal, E. (2018) Automatic Parameter Tuning of Multiple-Point Statistical Simulations for Lateritic Bauxite Deposits, Minerals, 8 (5), 220
  6. Dagasan, Y., Erten, O. & Topal, E. (2018) Accounting for A Spatial Trend in Fine-Scale Ground-Penetrating Radar Data: A Comparative Case Study, Journal of the Southern African Institute of Mining and Metallurgy, 118 (2), 173-184
  7. Mai, N.L., Erten, O. & Topal, E. (2016) A New Generic Open Pit Mine Planning Process with Risk Assessment Ability, International Journal of Coal Science & Technology, 3 (4), 407-417
  8. Erten, O., McAndrew, L., Kizil, M.S. & Topal, E. (2015) Incorporating Fine-Scale Ground-Penetrating Radar Data into The Mapping of Lateral Variability of a Laterite-Type Bauxite Horizon, Mining Technology, 124 (1), 1-15
  9. Fu, Z., Topal, E. & Erten, O. (2014) Optimisation of a Mixed Truck Fleet Schedule through a Mathematical Model Considering a New Truck-Purchase Option, Mining Technology, 123 (1), 30-35
  10. Erten, O., Kizil, M.S., Topal, E. & McAndrew, L. (2013) Spatial Prediction of Lateral Variability of a Laterite-Type Bauxite Horizon Using Ancillary Ground-Penetrating Radar Data, Natural Resources Research 22 (3), 207-227
  11. Erten, O., Konak, G., Kizil, M.S., Onur, A.H. & Karakus, D. (2009) Analysis of Quarry Blast-Induced Ground Vibrations to Mitigate Their Adverse Effects on Nearby Structures, International Journal of Mining and Mineral Engineering, 1 (4), 313-326

Conference Proceedings

  1. Erten, O., Martinez, S., Mawdesley, C. & Handley, P. (2016) Assessment of Phosphorus Estimation Uncertainty in the South Walker Creek (SWC) Rangal Coal Measures, Bowen Basin, Central Queensland, 35th International Geological Congress, Cape Town, South Africa
  2. Erten, O., Abzalov, M. & McAndrew, L. (2016) Pixel-Based Simulation Approaches for Profiling the Weipa Bauxite Deposit, 35th International Geological Congress, Cape Town, South Africa
  3. Mai, N.L., Erten, O. & Topal, E., Sommerville, B. (2016) Open Pit Mine Planning Using Multivariate Conditional Simulation, 35th International Geological Congress, Cape Town, South Africa
  4. Erten, O., Renard, D., Beucher, H., Dessasis, N., McAndrew, L., Topal, E. (2015) Characterisation of a Laterite-Type Bauxite Orebody Geometry Using a Plurigaussian Simulation Approach, IAMG2015
  5. Chung, J., Topal, E. & Erten, O. (2015) Transition from Open-Pit to Underground – Using Integer Programming Considering Grade Uncertainty, IAMG2015
  6. Mai, N.L., Erten, O. & Topal, E. (2015) Joint Conditional Simulation of an Iron Ore Deposit Using Minimum or Maximum Autocorrelation Factor Transformation, IAMG2014
  7. Erten, O., Kizil, M., Beamish, B.B. & McAndrew, L. (2011) Assessment of Uncertainty in Grade-Tonnage Curves of a Multivariate Lateritic Bauxite Deposit Through Min/Max Autocorrelation Factor Transformation, IMCET2011

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Zahra Hadavand

Research Associate

Zahra received the MSc and PhD degrees in Geomatics Engineering from the University of Calgary in 2020. Before joining CCG, she worked as a research assistant at U of C in the integration and calibration of ranging and imaging systems such as terrestrial laser scanners for accurate 3D spatial modeling, feature extraction, and metric inspection of infrastructures. She is currently working as a research associate at CCG. She is interested in continuing research in spatial statistics to improve quantifying and integrating uncertainty in the modeling of geospatial variables.

Research

  • Spatial Simulation with Machine Learning.

Publications

Peer-reviewed journals

  1. Hadavand, Z.; Lichti, D. D; Jahraus, A.; Jarron, D. Concrete Preliminary Damage Inspection by Classification of Terrestrial Laser Scanner Point Clouds through Systematic Threshold Definition. A special issue of ISPRS International Journal of Geo-Information, 2019.

Conference Proceedings

  1. Hadavand, Z.; Lichti, D. Concrete Damage Detection based on Machine Learning Classification of Terrestrial Laser Scanner Point Clouds. FIG working week 2020, May 10-14, Amsterdam. (under publication).

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