From the Royal Netherlands Navy, Teun van Schriek conducted research on modernising existing tactics to optimise submarine detection using artificial intelligence (AI). The jury praised the direct applicability of his work, which is already being implemented on helicopters for anti-submarine missions.
Van Schriek’s model takes as input the total available search time, enemy behaviour, sonar detection ranges, and historical data. Not finding a submarine at a certain location and time also provides valuable information.
Enhanced probability of detection
By incorporating past data, the model ensures that time spent searching without detection is not wasted, but instead enhances the probability of detection later in the mission. This approach strengthens maritime security by enabling faster and more targeted submarine detection in coastal waters or strategic areas.
Moreover, the model improves detection success rates by using available resources more efficiently — crucial in time-critical or hostile environments. It therefore contributes directly to protecting vital maritime routes and national interests.
The model provides operational air units with a quantitatively supported tool to plan search efforts more efficiently during a datum search. By factoring in previous search attempts and submarine behaviour, it can indicate locations with the highest probability of detection, leading to more effective deployment of NH90 helicopters equipped with HELRAS sonar and optimal use of available search time.
Other nominees
In addition to Van Schriek, there were two more nominees.:
Maritime Awards Gala
Every year, five awards are presented at the Gala; the Ship of the Year Award, the Maritime Innovation Award, the Maritime Talent Award, the Maritime Achievement Award and the Maritime Security Award.
