1. Introduction to applied swarm intelligence. 2. Ride sharing as a swarm – a dynamic network analysis approach. 3. Optimal coverage infrastructure for large-scale dynamic fleets of reconnaissance drones. 4. A swarm-based approach for modeling reliability and optimizing system maintenance. 5. On mice and financial traders – swarms as decision optimization mechanisms. 6. Complex crowds: on the interactions of the masses. 7. Predicting income based on twitter activity. 8. Efficient sub-linear algorithms for social networks analysis. 9. The use of swarm signal processing for early detection of emergencies. 10. Swarm based collaborative cyber security infrastructure
Dr. Altshuler is an expert on the mathematical aspects of networks and communities, and the way local interactions are translated to macro-scale behaviors. Altshuler graduated his BA and PhD (Computer Science) at the Israel Institute of Technology (Technion), followed by 3 years post-doc at MIT Media Lab. Published a book on Security and Privacy in Social Networks (2012), and a second one about Swarms and Network Intelligence (2017). Published over 60 scientific papers and 15 patents. His research was covered by Harvard Business Review, Financial Times, Communications of the ACM, The Globe, IEEE Spectrum and others. Together with Prof. Alex “Sandy” Pentland at MIT developed the new science of Social Physics.