Building Robust Wireless Networks with Relay Node Placement
(Dec. 4, 2018)

Guoliang Xue
School of Computing, Informatics, and Decision Systems Engineering
Arizona State University, Tempe, Arizona, USA

In the event of a natural disaster, maintaining a working communication network that can disseminate critical information is very important to rescue survivors of the disaster. However, the communication network may also be damaged by the natural disaster, due to loss of power or damage to base stations. We study both proactive and reactive approaches to maintaining a working communication network in the event of a natural disaster. In the proactive approach, we harden the network to increase its robustness against failures. In the reactive approach, we reconnect the working pieces of the network with limited relay nodes. Since our goal here is to connect as many survivors as possible, the problems are different from traditional robust networking problems studied in the literature. In this talk, we discuss the challenges and present our solutions to these problems.

Guoliang Xue is a Professor of Computer Science and Engineering at Arizona State University. He earned a PhD degree in Computer Science in 1991 from the University of Minnesota, an MS degree in Operations Research in 1984, and a BS degree in Mathematics in 1981, both from Qufu Normal University. His research interests include resource allocation in computer networks, security and survivability issues in networks, and machine learning enabled crowdsourcing. He is an Area Editor of IEEE Transactions on Wireless Communications for the Wireless Networking Area overseeing 12 editors. He is a past editor of IEEE/ACM Transactions on Networking, and Computer Networks. He was a TPC co-chair of IEEE INFOCOM2010 and a co-General Chair of IEEE CNS2014. He was a Keynote Speaker at IEEE LCN2011 and ICNC2014. He is an IEEE Fellow. He served as the VP-Conferences of the IEEE Communications Society (ComSoc) from January 2016 to December 2017.


Application of numerical model on extreme weather and regional climate changes studies
(Dec. 5, 2018)

Dr. Chuan-Yao Lin
Research Fellow
Research Center for Environmental Changes, Academia Sinica, Taiwan

Climate change is the most serious scientific and social challenge in the present century. Reports from the Intergovernmental Panel on Climate Change (IPCC) and various studies have suggested that extreme weather events are most likely to increase around the world. However, regional changes are neither uniform nor certain, and have become pressing issues for the next IPCC effort and beyond. In particular, East Asia is one of the fastest developing economies in the world. Therefore, the impacts of climate change, particularly global warming in this region are drawing much attention owing to the recent trend of increase in extreme weather events. Numerical models are useful tools to understand the mechanisms of the extreme weather and projection the possible changes. In this presentation, I will demonstrate some examples including extreme rainfall events, heat waves and regional climate change projections over Taiwan.

Chuan-Yao Lin is currently serving as Research Fellow in Research Center for Environmental Changes (RCEC), Academia Sinica, Taiwan. He is an associate editor of journal Terrestrial, Atmospheric and Oceanic Sciences (TAO) and a board member of Environmental Protection, Taiwan. He was also a board member of Taiwan Group on Earth Observation (TGEO) in 2010-2016. In 2015-2017, he served as Secretary General, Meteorological Society of the Republic of China. He received the Ph.D. degree in Atmospheric Science from National Central University, Taiwan in 1996. His research interests include regional climate change, urban heat island effect, mesoscale meteorology and air quality.

A Real-Time Tsunami Inundation Forecasting System for Disaster Mitigation and Prevention
~Lessons learned from the 2011 East-Japan Great Earthquake ~
(Dec. 6, 2018)

Hiroaki Kobayashi
Professor and Director of of Architecture Laboratory
Department of Computer and Mathematical Sciences,Graduate School of information Sciences,Tohoku University, Japan

The tsunami disasters that occurred in Indonesia, Chile, and Japan have inflicted serious casualties and damaged social infrastructures. Tsunami forecasting systems are thus urgently required worldwide. We have developed a real-time tsunami inundation forecast system that can complete a tsunami inundation and damage estimation for coastal cities at the level of 10-meter grid size in less than ten minutes. In my talk, we will be presenting an overview of our system. We will be also introducing HPC activities of Cyberscience center of Tohoku University, a part of the national high-performance computing infrastructure deployed in Japan.

Hiroaki Kobayashi is currently Professor and Chair of Computer and Mathematical Sciences Department, Graduate School of Information Sciences, Tohoku University. He is also Special Adviser to President for ICT innovation, and Special Adviser to Director of Cyberscience Center of Tohoku University.In 1995, 1997-1998 and 2001-2002, he was Visiting Associate Professor of Stanford University (EE department and Computer Systems Lab.) . In 2008-2016, he was Director of Cyberscience Center (Supercomputer Center) of Tohoku University.
In 2012-2016, he was a member of Education and Research Council of Tohoku University. His research interests include high-performance computer architectures, supercomputer systems, and their applications. He received the B.E. Degree in Communication Engineering, and the M.E. and D.E. Degrees in Information Engineering from Tohoku University. He is a senior member of IEEE CS, and a member of ACM, IEICE and IPSJ. He is also an associate member of Science Council of Japan. He received 2017 Minister of Education Award in the Field of Computer Science and will receive 2018 Minister of Education Award in the field of Science and Engineering.