From my perspective, every question contains half of its answer. People usually focus only on finding results without considering the definition and demands of the question. My major interest is to facilitate the procedure of finding robust and sustainable ways of thinking about a question and having a contribution to innovative solutions for future generations. This is not a precious but a vital movement in a world full of unforeseen and complicated questions and illusions.
The nature of science demands regular purification and should be respected and treated intensely. Although the current education system has been limited to degrees, such purification can be done by continuous learning and teaching achievements. New subjects, new solving approaches, new answers, and consequently, new demands have always been raised. Most traditional beliefs work poorly, and a more comprehensive lookout is required.
Artificial Intelligence bears a heavy burden of human activities in the contemporary world, and modern societies need to teach and explain AI to new generations clearly to preserve the chain of innovation and technology improvement. Thus, one of my interests is to combine mine and experts wisdom and experiences to facilitate sustainable education of AI and its development.
Modern economies rely on countless cohorts of raw materials, from iron and limestone to gold and semiconductors. Mostly, minerals have been traded on sustained and organized markets, but conversely, critical minerals such as Lithium do not have this opportunity yet. My main interest is to leverage my wisdom and expertise in enlightening critical minerals supply chain (CMSC) transparency, responsiblity, and resilience. Thus, it is required to carry out R&D to solve the challenges of CMSC.
Main Project: Creating operating data-based models to quantify iron ore pelletization with Artificial Intelligence: a case study
Stands as favorite, learning, and working with it most often
Pashna K., Mirmohammadi M., Asghari O., Doulati F., “Using nonlinear regression for ARD evaluation based on borehole samples”, 7th Iranian Mining Engineering Conference & 5th International Mine and Mining Industries, Tehran, Iran, Nov. 2019 (as oral presentation in Farsi) (link)
Pashna K., Mirmohammadi M., Asghari O., Doulati F., “Discussing acid metalliferous mine drainage estimation and modelling influenced parameters for in-situ rocks”, 36th National and the 3rd International Geosciences Congress, Tehran, Iran, Feb. 2018 (as oral presentation in English) (link)
Pashna K., Asghari O., “A comparison between new and common resource classification in Mehdi Abad lead-zinc ore deposit”, 2nd Iranian Mining Technologies Conference and Exhibition, Yazd, Iran, Sep. 2016 (presented in a form of poster in Farsi) (link)