・B.E. / M.E. - Moscow Technological University (MIREA)
・Ph.D. - The University of Tokyo, School of Engineering
Vasily Lubashevskiy is Assistant Professor at the Institute for International Strategy, Tokyo International University. He earned his Engineer (Bachelor & Master) degree from Moscow Technological University (MIREA) in 2011 for a research of distributed self-regulation in complex systems. In 2014 he was awarded the degree of Doctor of Engineering (Ph.D.) from School of Engineering, The University of Tokyo for a research in humanitarian logistics within recovering after large-scale disasters.
He started his academic carrier as Project Researcher at Resilience Engineering Research Center, The University of Tokyo (2014-2016) and then continued it as Research Associate at National Institute for Environmental Studies (2016-2019) until joining Tokyo International University (TIU).
The scope of his research involves (i) emergent phenomena in complex systems, in particular, the distributed self-regulation of active hierarchical systems without governing centers and (ii) resilience of human-centered socio-technical systems with an emphasis in recovering after large-scale disasters.
Among the obtained results the following should be noted. First, dealing with living tissue as a characteristic example of active hierarchical systems he found general principles that can underlie their distributed self-regulation without governing centers. Namely, the existence of two counter-current streams of their basic components (arterial-venous blood, money-goods) and their local interaction with corresponding elements open the possibility of the self-processing of information about system states and make the system response to external perturbations practically prefect. Second, studying the short-term recovery after large scale disaster he elaborated a novel concept of reactive decision-making in planning and managing the system recovery. The gist of this concept is the combination of rational principles of optimality and external humanitarian reasons which can make the system recovery quasi-optimal even in the case of lack of information and its permanent update. Since 2010 he published a number of fundamental papers and participated in many international and domestic conferences where he promoted these original ideas. Prospects of their developments are illustrated by his research projects presented on the page “Research Projects.”
In TIU his teaching activity is aimed at promoting methods of computer simulation and modern techniques of data processing for business and socioeconomic applications.
Lubashevskiy, V., Suzuki, T., Kanno, T., & Furuta, K. (2017). Recovery of urban socio-technical systems after disaster: Quasi-optimality of reactive decision-making based planning. EURO Journal on Decision Processes, 5(1-4), 65-77.
Lubashevskiy, V., Kanno, T., & Furuta, K. (2016). Resource redistribution under lack of information: Short-term recovery after large scale disasters. Journal of Advanced Simulation in Science and Engineering, 3(1), 1-16.
Lubashevskiy, V., Kanno, T., & Furuta, K. (2014). Resource redistribution method for short-term recovery of society after large-scale disasters. Advances in Complex Systems, 17(05), 1450026.
Lubashevsky, W., Lubashevskiy, I., & Mahnke, R., (2010). Distributed self-regulation of living tissue: Beyond the ideal limit. Physical Review E, 81(2), 021922.
Lubashevskiy, V.I. (2009). Quasilocality effect in active media. Bulletin of the Lebedev Physics Institute, 36(8), 219-224
Lubashevsky, W. I., & Lubashevskiy, I. A. (2009). Distributed mechanism of living tissue self-regulation as a self-organization phenomenon in active fractal media. Physics of Wave Phenomena, 17(2), 139-153.