Shah Muhammad

Research Assistant

Shah Muhammad

Professional Experience

Shah Muhammad is a Research Assistant at the Centre for Aerospace & Security Studies (CASS), Islamabad. He is a Gold Medallist in MPhil Peace and Conflict Studies from the National University of Sciences and Technology (NUST), Islamabad. His research interests include emerging technologies, national security, defence modernisation and global governance.

Previously, he completed a research fellowship with Hanns Seidel Foundation (HSF). Shah Muhammad is also member of a global policy network ‘Future Leaders Connect’ (FLC), jointly hosted by British Council and Cambridge University. 

Publications

Evaluating the Potential of Carbon Capture and Storage Technology in Pakistan

February 29, 2024

Technology and innovation are emerging dimensions of climate discourse in contemporary times. Climate technologies  are rapidly becoming instrumental in reducing greenhouse gas (GHG) emissions and adapting to the detrimental impacts of climate change. Carbon Capture and Storage (CCS) technology has the potential to expedite endeavours towards climate change mitigation in environmentally vulnerable countries.
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Role of Big Data in the Predictive Modelling of Conflicts

January 31, 2024

Big Data is an integral domain of emerging technologies, with one of its applications being predictive modelling of future events. It consists of large volumes of data generated from multiple sources, being subjected to real-time processing and analysis through advanced systems such as Artificial intelligence (AI). Moreover, predictive modelling is a statistical technique that taps into historical and current data to predict future outcomes.
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Project AVATAR: AI Future of Border Security?

January 17, 2024

Artificial Intelligence (AI) seems to be on the cusp of automating border security protocols and customs operations. The National Centre for Border Security and Immigration at the University of Arizona has developed an AI prototype called the ‘Automated Virtual Agent for Truth Assessments in Real Time’ (AVATAR). Funded by the US Department of Homeland Security (DHS), it has been designed on the principles of Machine Learning (ML), computer vision, and Natural Language Processing (NLP).
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