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Doctoral Symposium
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Keynote Speakers

Dr. Aniket Kate

Dr. Aniket Kate is an Assistant Professor in the computer science department at Purdue University. Before joining Purdue in 2015, he was a faculty member and an independent research group leader at Saarland University in Germany, where he was heading the Cryptographic Systems Research Group. He completed his postdoctoral fellowship at Max Planck Institute for Software Systems (MPI-SWS), Germany in 2012, and received his PhD from the University of Waterloo, Canada in 2010. His research interests include design, implement, and analyze privacy and transparency enhancing technologies. His research integrates cryptography, distributed computing, and trusted hardware. For more details, pls. visit https://www.cs.purdue.edu/homes/akate/.

Topic : Distributed IOweYou Credit Networks

IOweYou (IOU) credit networks model transitive trust (or credit) between users in a decentralized environment. They have recently seen a rapid increase of popularity due to their flexible-yet-scalable design and robustness against intrusion. They serve today as a backbone of real-world permission-less payment settlement networks (e.g., Ripple and Stellar) as well as several other weak-identity systems such as spam-resistant communication protocols and Sybil-tolerant social networks. In payment scenarios, due to their unique capability to unite emerging crypto-currencies and user-defined currencies with the traditional fiat currency and banking systems, several existing and new payment enterprises are entering in this space. Nevertheless, this enthusiasm in the market significantly exceeds our understanding of security, privacy, and reliability of these inherently distributed systems. Currently employed ad hoc strategies to fix apparent flaws have made those systems vulnerable to bigger problems once they become lucrative targets for malicious players. In this talk, we will first define the concept of IOU credit networks, and describe some of the important credit network applications. We will then present and analyze the recent and ongoing projects to improve the credit-network security, privacy and reliability. We will end our discussion with interesting technical as well as legal challenges in the field.

Prof. Ashwin Gumaste

Ashwin Gumaste is currently an Associate Professor in the Department of CSE at IIT Bombay in Mumbai. He was the Institute Chair Associate Professor (2012-2015) and the JR Isaac Chair (2008-11) from 2008-10 he has been a Visiting Scientist at the Massachusetts Institute of Technology (MIT), Cambridge, USA. Ashwin has held positions with Fujitsu Laboratories (USA) Inc and has also worked with Cisco Systems and has been a consultant to Nokia Siemens Networks. He has also held short-term positions at Comcast, Lawrence Berkeley National Labs, and with Iowa State University. His work on light-trails has been widely referred, deployed and recognized by both industry and academia. His recent work on Omnipresent Ethernet has been adopted by tier-1 service providers and also resulted in the largest ever acquisition between any IIT and the industry. This has led to a family of transport products under the premise of Carrier Ethernet Switch Router. Ashwin has 23 granted US patents and has published about 150 papers in referred conferences and journals. He has also authored three books in broadband networks. For his contributions he was awarded the DST Swaranajayanti Fellowship in 2013, Government of India's DAE-SRC Outstanding Research Investigator Award in 2010, the Vikram Sarabhai research award in 2012, the IBM Faculty award in 2012, the NASI-Reliance Industries Platinum Jubilee award 2016, as well as the Indian National Academy of Engineering's (INAE) Young Engineer Award (2010).

Topic : Is Network Hardware Virtualization the Holy Grail of SDN deployment?

In this talk, we will consider the aspect of deploying SDN or software defined networks from a providers' perspective. SDN has shown promise of making the network programmable and hence agile towards offering new service paradigms that are specifically user-centric. SDN gear has the capability of performing complex network functions by bifurcating an SDN box into a control-plane that is centralized and programmable and a data-plane that can manifest any of the programmable functions with ease. Carrier-class performance requires guarantees in terms of latency, bandwidth support and other QoS measures. We examine what it would take for SDN "white-boxes" to meet carrier-class performance. Specifically, we will study our recently proposed network hardware virtualization concept and examine how it facilitates SDN white-boxes to be made service-centric. We will examine hardware architecture from the perspective of ASICs, FPGAs and network processors and understand the issues that determine data-plane abstraction. Metrics to evaluate such architectures and comparison with conventional products will be discussed. We will conclude by understanding a generic switch model that has been extended to an SDN white-box.

Prof. Chaitan Baru

(Currently on assignment as Senior Advisor for Data Science in the Computer and Information Science & Engineering Directorate at the National Science Foundation)

Chaitan Baru is a Distinguished Scientist and Associate Director of Data Initiatives at the San Diego Supercomputer Center (SDSC), UC San Diego where he works on applied and applications-oriented research problems related to data management and data analytics. He has participated in a number of "data cyberinfrastructure" initiatives, including as Principal Investigator (PI) of the OpenTopography project; Cyberinfrastructure Lead, Tropical Ecology, Assessment and Monitoring network (TEAM); Co-Investigator of the Cyberinfrastructure for Comparative Effectiveness Research project (CYCORE); Member of the founding Senior Management Team of the National Ecologial Observatory Network (NEON) and Co-PI of the NEON Cyberinfrastructure Testbed; Co-PI of the CUAHSI Hydrologic Information Systems (CUAHSI-HIS); Director, NEES Cyberinfrastructure Center (NEESit); PI/Project Director, Geosciences Network (GEON); and member of the How Much Information? project.
Baru leads the Advanced Cyberinfrastructure Development (ACID) Group at SDSC and is also Director of the Center for Large-scale Data Systems research (CLDS).
Prior to joining SDSC in 1996, Baru was at IBM, where he led one of the development teams for DB2 Parallel Edition Version 1 (released Dec 1995); and at the University of Michigan, where he served on the faculty of the EECS Department. He received his B.Tech in Electronics Engineering from the Indian Institute of Technology, Madras, and M.E. and Ph.D. in Electrical Engineering from the University of Florida, Gainesville.

Topic : Harnessing the Data Revolution: A Perspective from the US National Science Foundation

Abstract :This talk will introduce NSF's vision for moving beyond initial, isolated approaches for data science research, services, and infrastructure, towards a cohesive, federated, national-scale approach to harness the data revolution and transform US science, engineering, and education over the next decade and beyond. The talk will highlight challenging technical issues in computer science as well as data science, and describe the role of distributed computing and networking in this context.

Chaitan Baru is Senior Advisor for Data Science in the Computer and Information Science and Engineering (CISE) Directorate at the National Science Foundation. He coordinates the cross-Foundation BIGDATA research program, advises the NSF Big Data Hubs and Spokes program, assists in strategic planning, and participates in interdisciplinary and inter-agency Data Science-related activities. He co-chairs the Big Data Inter-agency Working Group, and is co-author of the US Federal Big Data R&D Strategic Plan http://preview.tinyurl.com/z6w943j, released in May 2016 under the auspices of the Networking and Information Technology R&D (NITRD) group of the National Coordination Office, White House Office of Science and Technology Policy. Baru is at NSF on assignment from the San Diego Supercomputer, University of California San Diego, where he is a Distinguished Scientist and Associate Director for Data Initiatives. He received his PhD and ME in Electrical Engineering from the University of Florida, and B.Tech in Electronics Engineering from IIT Madras.