Big Data Summit 2

We have extended the Abstract Submission Deadline until 29 August 2018! Keep your submission in people!

Abstract submission is extended to 22nd August 2018

Check out our agenda (last update 17 August 2018)

Check out our keynotes and invited talks abstract compilation

PROF. DR. RENATO J. FIGUEIREDO (PROFESSOR at UNIVERSITY OF FLORIDA, USA)

Renato J. Figueiredo is a Professor at the Department of Electrical and Computer Engineering of the University of Florida. Dr. Figueiredo received the B.S. and M.S. degrees in Electrical Engineering from the Universidade de Campinas in 1994 and 1995, respectively, and the Ph.D. degree in Electrical and Computer Engineering from Purdue University in 2001.

From 2001 until 2002 he was on the faculty of the School of Electrical and Computer Engineering of Northwestern University at Evanston, Illinois, and from 2012 to 2013 he was a visiting researcher at Vrije Universiteit, the Netherlands.

His research interests are in the areas of virtualization, distributed systems, overlay and software-defined networks, cloud and edge computing, and their applications in support of computational science in domains including lake ecology, bio-diversity, and smart and connected communities. Dr. Figueiredo’s research team leads the IPOP (IP-over-P2P) open-source overlay virtual network project.

NADYA WILLIAMS (RESEARCH SCIENTIST at UC SAN DIEGO, USA)

Nadya Williams is a Research Scientist at the San Diego Supercomputer Center at UC San Diego. She served as a functional lead in the design, specification and evaluation of software architectures for the scientific computing environments focusing on high performance, hight throughput and virtual environments for PRAGMA and NBCR projects at UCSD.

She is actively involved with PRAGMA since 2007 where she now leads Resources and Data working group. Nadya has years of global collaborative experience working with the scientists from Europe, PRAGMA and other communities. She recently joined the technical team for the Pacific Research Platform where she continues to work in the area of virtualization, distributed applications and cloud computing to provide a computational science support to the domain scientists. Nadya earned an M.S. in Oceanography and an M.S. in Computer Science.

DR. JASON HAGA (RESEARCHER at AIST, JAPAN)

Dr. Jason Haga is currently a member of the Cyber-Physical Cloud Research Group in the Information Technology Research Institute of The National Institute of Advanced Industrial Science and Technology (AIST). For over 20 years, Dr. Haga has focused on multidisciplinary research. Past research includes the design and implementation of biomedical applications for grid computing environments and tiled display walls.

He also has collaborated with cultural heritage institutions to deploy novel interactive exhibits to engage the public in learning. Current projects of interest include immersive visualization of data and user experience/user interface for data intensive applications. He is actively involved with the Pacific Rim Application and Grid Middleware Assembly (PRAGMA) community, where he leads the Biosciences working group and has mentored over 70 students from around the world.

Dr. Haga is continuing this mentorship effort at AIST by leading an international internship program that strategically positions AIST as an international hub for computer science research training. With over 14 years of global collaborative efforts with technologists and domain scientists in the PRAGMA community, he continues to look for interdisciplinary research opportunities connecting scientists to advance research on a global scale. Dr. Haga earned a PhD in biomedical engineering from the University of Tennessee, Memphis and did postdoctoral work at UC San Diego. He currently lives in Tsukuba, Japan.

DR. DZAHARUDIN MANSOR (National Technology Officer, Microsoft Malaysia)

Dr. Dzaharudin Mansor is the National Technology Officer (“NTO”) for Microsoft Malaysia. As the NTO, Dzahar drives the engagement with key national technology stakeholders, which include academics, policy takers & advisors, and interest groups with the intention to builds trust while contribute to national development.

Dr Dzahar joined Microsoft in 2005 and has more than 33 years of professional experience in ICT and telecommunications. He started his career as a lecturer at the department of Computer Science, La Trobe University, and moved on to as a R&D engineer at Telecom Australia Research Laboratories in Melbourne. On returning to Malaysia, he joined Celcom as a R&D manager, and left the company as the Vice President for R&D, Intelligent Network and IT divisions. He subsequently worked at HP in Singapore and other technology companies in R&D, operations, business, as well as leadership positions.

He also presently holds, and has held, several associate positions including as an Adjunct Professor at IIUM, a councillor at PIKOM and academic advisor at several public and private universities. In 2010, he had the honour of leading the Business Services Economic Transformation Program (ETP) Labs that has been one of the key initiatives by the Malaysian Government to transform Malaysia into a developed nation by 2020. He is a senior member of IEEE.

Dr. Dzahar received a First Class Honors Degree in Computer Systems Engineering from Monash University, Australia in 1985, and subsequently awarded Australian University
Graduate scholarships to completed his PhD in Computer Science in 1988. In 1985, he was awarded the Digital Award for Computer Engineering, the University Tasmania award for
achieving top 10 position in HSC, and the MCE Top Student Award at MCKK in 1979.

Dr. Dzahar is passionate about technology, where he works closely with academia and research on topics such as Software Engineering, Computer Architectures, Cyber Security, Telecommunications, Data Science and AI. He aspires to contribute towards the nation’s Digital Economy initiative.

As we transition into another industrial revolution, AI, in conjunction with the 3rd and 4th Platforms, has become a key technology mega trend that is poised to further accelerate the 4th Industrial Revolution. AI is not a new technology, but one that which become significant due the lowering cost of computing and storage by hyper-scale cloud, access to huge amounts of data and tools that has made applying AI and Data Science simpler and more productive; in short Democratization of AI. It is the author’s opinion there is an urgency to make AI a mainstream in education and a core skill for everyone that deals with science and technology for work or and research.