Research Assistant
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.
The traditional recourse to kinetic combat capabilities may no longer be adequate in a technological era increasingly dominated by non-kinetic modalities of warfare. Information warfare, an emerging mode of hostile engagement, includes actions taken to deny, exploit, corrupt, or destroy an enemy’s information and its
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In the traditional modes of warfare and intelligence, espionage was an exclusive domain of spies working covertly to gain access to an enemy’s sensitive information. However, greater leaps in technology over the years have raised the significance of cyber domain for intelligence, paving the way for cyber espionage.
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Nature is reflective of the fact that the deficiencies of a single individual are often compensated for by coordinated group efforts, as seen in a pack of wolves, colony of bees, and flock of birds, etc. Rapid advancements in military technologies have materialised this natural phenomenon through the development of swarm drone technology.
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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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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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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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