BEGIN:VCALENDAR PRODID:-//eluceo/ical//2.0/EN VERSION:2.0 CALSCALE:GREGORIAN BEGIN:VEVENT UID:2f0da8ece6847b965a9eb36b9455c2fb DTSTAMP:20240428T001119Z SUMMARY:Dr. Antonios Kontsos\, Drexel University DESCRIPTION: \n\nIn the near future\, humans\, machines and the environment will function\nmuch closer to one another. The transformative step toward s such\n“convergence” is the understanding and harnessing of complexit y in\nthe architecture\, operation and performance of systems\, as well as \nsystems of systems across time and length scales. In this context\,\nthi s talk focuses on current efforts of my research group in the\ndirection o f establishing data-driven intelligent systems. This term\nis inclusive wi th an emphasis on “systems”\, as it is the most\ngeneric way to descri be a myriad of assemblies\, both physical and\nvirtual\, that are complex in nature and are tasked to perform under\ncomplex conditions. To form suc h synergies\, sensing\, data analysis and\ndecision making processes are p resented to demonstrate how models and\nalgorithms could be created to ach ieve the goal of designing such\ndata-driven intelligent systems. To descr ibe the proposed research\nstrategy and its applications\, the case of cyb erphysical systems is\nselected. First\, the role of sensing is described as the necessary\nstep to monitor the behavior of a complex system and col lect data that\ncould then be used for further understanding. Examples sho wn include\nmaterials and structures found in the built environment with e mphasis\non aerospace and civil applications. Then\, the use of machine le arning\nand data post-processing methods is explained as platforms to\nund erstand two elements: the current state of the system and when\nchanges to it occur. Finally\, the way such data could be used in\nmathematical or c omputational models both physics-based and\nphenomenological to predict th e future state of such systems is\ndescribed.\n\nRead more about Dr. Konts os [http://www.mem.drexel.edu/kontsos/]\n DTSTART:20190308T153000Z DTEND:20190308T165000Z LOCATION:Gerri C. LeBow Hall\, 3220 Market Street\, 408\, Philadelphia\, PA 19104 END:VEVENT END:VCALENDAR