Prof. Dheeraj Kumar is the Project Director of the TEXMiN Hub (Mining Innovation Hub set up by the Government of India). He is also the Deputy Director at IIT (ISM) Dhanbad. Prof. Kumar is the founding Director of the TEXMiN Foundation and ACIC Foundation (Section 8 Companies set up with DST and NITI Aayog, respectively). Prof. Kumar is a Mine Surveying & Geomatics Professor at the Department of Mining Engineering, IIT (ISM) Dhanbad. He completed his M. Tech from IIT (ISM), Dhanbad, and PhD from IIT Kharagpur. He has more than 22 years of experience in teaching & research at various organizations. His areas of expertise include Geospatial Technology & Mining 4.0. Dr Kumar has published more than 75 technical research papers in various international/national journals, including seminars/symposiums, and presented several papers at conferences in India and Abroad. Dr Kumar has authored several books and chapters, including Advances in Mine Surveying and Application of IT in Mining. He has already completed more than 60 industrial consultancy projects sponsored by various mining & allied industries for solving their real-life mining projects. He has completed ten research projects in the Mining and Earth Science areas. Dr Kumar has conducted several Executive Development Programmes (EDP) and trained over 550 mining executives on various mining and allied disciplines for different organizations. NTPC Ltd., NHPC Ltd., Coal India Ltd., Oil India Ltd., Tata Steel, Atlas Copco, Infosys, Vedanta, IMFA, Indian Oil Corporation. He is a recipient of the National Merit Scholarship; Meritorious Scholar award at IIT Kharagpur in three consecutive years, i.e., 2000- 2001, 2001-2002 and 2002-2003; "CSIR Foreign Travel Grant" and "Hindustan Zinc Limited Award" by the Institution of Engineers (INDIA). Dr Kumar has received the SBI 2nd Best Researcher award for five consecutive years: 2012-13, 2013-14, 2014-15, 2015-16, and 2016-17.

Yudi Tang is a PhD at the School of Minerals and Energy Resources Engineering, University of New South Wales. His research is focused on the application of emerging digital technologies such as artificial intelligence and image processing in rock mechanics and mining engineering. He has published several papers on image technology in top journals in the field of rock mechanics, including the International Journal of Rock Mechanics and Mining Sciences (IJRMMS) and Rock Mechanics and Rock Engineering (RMRE).

Min Liang, Senior Consulting Specialist at GEOVIA, Dassault Systèmes, with a Ph.D. in Geostatistics and Data Science. Min brings 9 years of experience in spatial data analysis, resource estimation, and machine learning applications. Dedicated to advancing geostatistical methodologies and data-driven solutions in geosciences.

Juncong (Jason) is a PhD graduate from the University of Queensland. Jason's work focuses on bringing digital twins into remote mining operations with the use of spatial computing technologies such as virtual reality and mixed reality. His research provides the knowledge around digital twins for the minerals industry and objective evidence to the true values of spatial computing in the vision of a mining metaverse.

PhD candidate at UNSW, working on data visualisation and analytics in mining engineering.

Dr. Chengpei Xu is a Postdoc Fellow at the Mine Internet of Things and Indoor Positioning (MIoT & IPIN) Lab, MERE, University of New South Wales, Sydney. He received his Bachelor's degree in System Engineering from NUDT, China, Master's degree in Information Technology from University of New South Wales (UNSW), and Ph.D. degree in Computing Sciences and Engineering from University of Technology Sydney (UTS) in 2022. His research focuses on Multi-modal Learning and Generative AI. He is dedicated to designing deep learning algorithms for multi-modal scene/document understanding and analysis, as well as developing generative AI for various applications such as healthcare, eLearning and human–computer interaction. Additionally, his works extends to multi-modal sensor fusion aimed at understanding complex, degraded environments and the detection and recognition of arbitrarily shaped object. His expertise spans several applied domains, enhancing the practical impact.