D.F. Torgerson Discovery Award: Experimental Data Analytic Techniques Detection

Awarded to Abhiram Venkatesh, David Dean, David Perez Laoureiro, Eli Simova, Helmut Fritzsche, Krassimir Stoev, Liqian Li, Mayra Martinez Gonzalez, Pablo Diaz Gomez Maqueo, Raymond Sammon, and Zahra Yamani

For The Development And Implementation Of Experimental And Data Analytic Techniques For Detection Of Opioids, Explosives And Other Illicit Substances For Effective Screening And Combating Crime

Among the threats to national security are narcotics such as fentanyl and its analogues, improvised explosive and incendiary devices and other non-nuclear illicit substances. The materials that make up the vast majority of these threats pass through Canadian borders at some point. The work of the nominees addressed the need for secure and efficient screening of cargo and travelers through borders, which is an important element of combatting crime and strengthening the safety and security of Canadians. While working on this project, the team of nominees developed and implemented a multi-pronged, approach to overcome the difficulties in detection of opioids and explosives in a variety of packages. They developed a prototype system for enhanced secondary, rapid non-destructive screening at borders, in mailrooms, and in similar facilities. Furthermore, the team created a library of compounds measured and analyzed during the project. There were several challenges encountered during the execution of this work but the nominees were able to successfully overcome these challenges, achieving outcomes of high scientific value and significant relevance to the stakeholders.