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.
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
- 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.
- 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.
Contact
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
- Hadavand, M., & Deutsch, C. V. (2017). Facies Proportion Uncertainty in the Presence of a Trend. Journal of Petroleum Science and Engineering.
- 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:
- 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
- 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.
- 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.
- 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.
- 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
- 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
- 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.
- Mostafa Hadavand, Clayton V. Deutsch. (2015) Engineering Rotation Angles Translated to GSLIB Convention, CCG Paper 2015-134, Centre of Computational Geostatistics (CCG), Edmonton, Alberta.
- 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:
- 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.
- 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.
- 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.
- 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:
- Hadavand, M., Integration of 4D Seismic Data in Reservoir Characterization with Facies Parameter Uncertainty, University of Alberta, Edmonton, Alberta, Canada, September 2017.
- Hadavand, M., Design and Development of a Surgical Robot for Needle-Based Interventions, University of Western Ontario, London, Ontario, Canada, April 2014.
Contact
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
- 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
- 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).
Contact
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