Hamed Chok
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About Hamed Chok
Houston, Texas, United States 11:04 am local time
Visiting Scholar - AI Researcher $120/hr
A proficient mathematical scientist and applied artificial intelligence researcher with 15 years of experience, leading algorithmic efforts across multidisciplinary research and development teams within the O&G service industry with a demonstrable track record of innovation in engineering solutions and science applications as evidenced by the volume of produced research publications as well as the intellectual properties created.
Experience
Company: Blue Marble Space Institute of Science Duration: May 01, 2024 to Present . 7 months Description:- Leading AI/algorithmic research activities to aid space flight health management
- Devised and implemented a geometry-based framework for assessing the comparative performances of various multi-omics measurement (batch) correction methods
- Devised and implemented an uncertainty-aware method for determining frailty-associated genes from raw gene/pathway data
- Proposed and currently implementing a novel causality inference framework for determining causal gene networks
- Devised a first-principles method for synthetic data generation using a geometric framework as an alternative to the Generative Adversarial Networks (GAN) approach
- Contributed to collaborative research publications
Company: Halliburton Duration: Mar 01, 2021 to Present . 3 years 9 months Description:
- Identified scientific and engineering challenges required to achieve market advantages and successfully pursued the associated research, bringing the ideas to fruition
- Led algorithmic efforts to build innovative computational answer products in support of a diverse set of geoscience applications spanning geochemistry, geophysics, and geomechanics and their associated measurement (sensor) technologies
- Successfully led full-cycle algorithm development from inception to deployment for various R&D projects in the geosciences and related engineering
- Enhanced Company’s technical profile & market competitiveness by augmenting the Company’s patent portfolio by ten patents
- Notable excellence in communicating with all levels of stakeholders including management/software groups, subject-matter experts, and legal teams
- Projects include: characterization of rock and fluid properties from NMR, nuclear, and optical spectroscopy; optimization of hydraulic fracture operations from reservoir and geomechanical measurements; characterization of wellbore defects from caliper data and magnetic flux leakage images – among many others
Company: NASA GeneLab Analysis Working Group Duration: Sep 01, 2020 to Present . 4 years 3 months Description:
- Leading algorithmic activities for the design and development of a fully autonomous fluid interpretation application
- Prepared patent applications to protect intellectual property created
Company: Weatherford Duration: Aug 01, 2012 to Apr 01, 2021 . 8 years 8 months Description:
- Devised a novel set-theoretic paradigm for the quantification of prediction uncertainty and established it as a scheme to justify the need for measurement integration, achieve improved solution constraints, and provide a principled approach to product offerings
- Proposed and successfully pursued novel initiatives for the qualitative and quantitative characterization of compositional fluid properties from NIR spectral data
- Sought and achieved full autonomy in the interpretation and analysis of pressure gradients, yielding complete solution consistency, and making the interpretation amenable to software implementation
- Identified and realized an opportunity to infer compositional fluid properties from a discrete time-series of density measurements
- Effectively communicated research findings and filed patent applications
Company: Weatherford Duration: Oct 01, 2008 to Aug 01, 2012 . 3 years 10 months
Education
University: University of Oklahoma Degree: Master of Science Graduation Year: 2008 Area: Computer Science Start - End Year: 2005 - 2008 Notes:Successfully conducted research culminating in a suite of novel data stream mining methods for data estimation and knowledge discovery in the context of real-time sensor network applications
University: University of Central Oklahoma Degree: Bachelor of Science Graduation Year: 2004 Area: Computer Science Start - End Year: 2001 - 2004
Skills
Coding;
Machine Learning and MATLAB;
MATLAB Coding;
Machine Learning;
Mathematical Modeling;
Artificial Intelligence;
Algorithms;
Wireline Measurements;
Geoscience;