School of Computing,
Telkom University, Indonesia
Dr. Didit Adytia obtained his Ph.D in Applied Mathematics, University of Twente, The Netherlands, in 2012, and was continued with a Post Doctoral position at the same university until 2016. His Bachelor and Master degree are in Mathematics, were obtained from Institut Teknologi Bandung (ITB), Indonesia, in 2006 and 2008, respectively. Since 2016, he is a lecturer and researcher at School of Computing, Telkom University. His research interest includes mathematical modelling of water wave, computational fluid dynamics, numerical methods, high performance computing, metocean (meteorology and oceanography), and big data of climate.
Dr. Didit has more than 9 years in the area of mathematical modelling and simulation of water wave both in academic research as well as in industry. During his PhD and Post Doc, he is developing a mathematical model and software, called variational Boussinesq, for simulating water wave propagation. The software has been used for academic purposes as well as in Industry (coastal engineering). During his Post Doctoral position, he formed a startup company called NeXT Ocean Indonesia (NOCI) that provided a consulting services in the area of coastal and offshore engineering especially for oil and gas companies. NOCI advocates problem solved based on newest mathematical modelling and simulation. Since 2016, he joined School of Computing, Telkom University. He continue to develop wave models, numerical implementations, and softwares for simulating wave; from long wave such as Tsunami, short waves as wind generated wave, as well as wave/swell generated by Tropical Cyclone. Based on Industrial demand, he also work on a wave forecasting system, for simulating accurately wave forecasting in the area of South East Asia, especially Indonesia, that has complicated geometry. His present research is to perform and analyze climate simulation, in order to calculate extreme waves, wind, squall from long term simulation. This research is connected directly with the demand from Industry, i.e. coastal and offshore constructions.
Speech Title: Water Wave: Modelling, Simulation & Big Data
We live on islands that are surrounded by sea and ocean. Understanding sea and ocean behaviour become significantly important when people are transporting goods using ships, taking and transporting oil and gas from offshore, as well as for coastline protection both from sea level rise as well as from extreme conditions. Sea behaviour can be understood from mathematical modelling point of view, i.e. water wave phenomenon. It is a complicated physical process; wind wave generation process, wave propagation, dispersion, nonlinearity, shoaling, diffraction, reffraction, reflection, etc. For coastal and offshore engineering design, wave behaviour in the future should be predicted accurately by hindcasting (analyzing wave behaviour in the past). To that end, accurate and efficient (time computing) wave simulations should be produced. For predicting extreme wave that is possible to occur once in a 100 years (100 year return period), historical wind data of at least 30 years is needed for extreme value analysis. For longer return period, longer historical wind and wave data are needed. This may lead to a new challenge, big data of of historical climate data (specifically wind and wave). In this talk, we present briefly about modelling process of water wave, numerical implementations, computing process, and extreme value analysis, that are put in a perspective of scientific work as well as real applications in industry.
