Keynote
Blockchain for Resource-Constrained Distributed Systems and it’s Future
Deepak Puthal
Faculty of Engineering and Information Technologies
University of Technology Sydney (UTS), Australia.
Email:Deepak.Puthal@uts.edu.au
Abstract: The modern world adopts technologies to automate decision making in areas that range from smart health to smart cities, where resource-constraint distributed systems become the backbone for data sensing and processing. Resource-constrained distributed systems such as the Internet of Things (IoT), edge computing and fog computing are deployed for real-time monitoring and evaluation. There is a wide variety of applications that deal with highly sensitive information processing and decision making, where securing the data and the system are key requirements. Current security solutions are problematic when there is a centralized controlling entity. A single point failure can lead to the compromise of the entire system. The blockchain provides decentralized security architectures using consensus algorithm, such as proof-of-work, proof-of-stake, proof-of-activity etc. This talk will cover more technical details and future aspect of blockchain.
Speaker Biography:
Dr. Deepak Puthalis an Assistant professor in the Faculty of Engineering and Information Technologies at University of Technology Sydney (UTS), Australia. He has a Ph.D. in computer science from UTS, Australia. His research interest includes Cyber Security, Blockchain, Internet of Things, and Edge/Fog Computing. He is the recipient of 2018 IEEE TCSC Award for Excellence in Scalable Computing (Early Career Researcher) and 2017 IEEE Distinguished Doctoral Dissertation Award (awarded by IEEE Computer Society and STC on Smart Computing). He is serving as an associate editor to IEEE Transactions on Big Data, IEEE Consumer Electronics Magazine, International Journal of Communication Systems (John Wiley & Sons), Internet Technology Letters (John Wiley & Sons) and KSII Transactions on Internet and Information Systems (TIIS). He is a Section Editor (Section - Big Data Security and Privacy) of Encyclopedia of Big Data Technologies (Springer). He is serving as invited guest editor to several reputed journals, such as Future Generation Computer Systems (Elsevier), Concurrency and Computation: Practice and Experience (John Wiley & Sons), Wireless Communications and Mobile Computing Journal (John Wiley & Sons), Computers & Electrical Engineering (Elsevier), Information Systems Frontier (Springer), and IEEE Consumer Electronics Magazine.More about his biography, research, education, and outreach activities can be obtained from his website: https://www.uts.edu.au/staff/deepak.puthal
Data exploration and analytics: fundamental algorithms and emerging applications
Gautam Das
Department of Computer Science and Engineering
University of Texas, Arlington, USA.
Email:gdas@cse.uta.edu
Abstract: In recent years, there have been many important advances in data exploration and data analytics techniques, both in fundamental algorithms well as novel application domains. Our own research has focused on fundamental algorithms for data exploration such as query results ranking and top-k retrieval, as well as algorithms for data analytics such as sampling-based aggregate estimation. We have also made significant efforts to apply our algorithmic techniques to a variety of emerging application domains such as social media and the deep web, where the problems are challenging because of limiting data access interfaces. Our talk will focus on describing the interesting technical challenges and algorithmic innovations necessary to address these emerging problems, as well as the challenges and opportunities ahead.
Speaker Biography:
Gautam Das is the Distinguished University Chair Professor of Computer Science and Engineering, Director of the Database Exploration Laboratory (DBXLAB), and Director of the Big Data Analytics Center (BigDAC) at the University of Texas at Arlington. He graduated with a B.Tech in computer science from IIT Kanpur, India, and with a Ph.D in computer science from the University of Wisconsin, Madison. Dr. Das has broad research interests in all aspects of Big Data Exploration, including databases, data analytics and mining, information retrieval, and algorithms. He has published over 200 papers, with many of them appearing in premier conferences and journals. His work has received several awards, including the IEEE ICDE 10-Year Influential Paper award received in 2012. He has been on the Editorial Board of the journals ACM TODS and IEEE TKDE, as well as well as in program committees of numerous conferences, including serving as General Chair of ACM SIGMOD/PODS 2018. Dr. Das's research has been supported by grants from National Science Foundation, Army Research Office, Office of Naval Research, Department of Education, Texas Higher Education Coordinating Board, Qatar Foundation, AT&T, Microsoft Research, Nokia Research, Cadence Design Systems and Apollo Data Technologies.