CLOUD/ICWS/SCC/MS/BigData Congress 2013 Keynotes

Keynote 1: The US Big Data Initiative in Cloud (6/28/2013, Friday morning) 
Keynote 2: Using Crowdsourcing for Data Analytics(06/28/2013, Friday afternoon)
Keynote 3: Cloud Computing Transformation in Services and the Next Generation of Cloud Architecture (06/29/2013, Saturday morning) 
Keynote 4: Managing the Data Flood in Scientific Domains(06/29/2013, Saturday afternoon) 
Plenary Panel 1: Advanced Analytics for Big Data(06/28/2013, Friday afternoon) 
Plenary Panel 2: Role of SOA in Big Data Computing(06/29/2013, Saturday afternoon) 
Plenary Panel 3: Cloud in Action(06/30/2013, Sunday) 
Plenary Panel 4: Security and Engineering in Big Data(06/30/2013, Sunday) 
Plenary Panel 5: Challenges in Cloud Engineering(06/30/2013, Sunday afternoon) 
Plenary Panel 6: Big Data VC (07/01/2013, Monday ) 
Plenary Panel 7: Context-Aware Mobile Services (07/01/2013, Monday ) 

Keynote 1: The US Big Data Initiative in Cloud
George Strawn
Federal Networking and Information Technology Research and Development (NITRD), USA

"Big data" is a phrase that has captured much attention in Washington, DC, and around the US. Why so much interest now in an activity that many scientific disciplines have been undertaking for years, if not decades? This keynote speech will attempt to answer these and other interesting questions about big data. It will also describe some of the US Federal government's activities in support of big data research and development in the cloud.

About the Speaker:
Dr. George O. Strawn

Dr. George O. Strawn is the Director of the Federal Networking and Information Technology Research and Development (NITRD) National Coordination Office (NCO). He also serves as the Co-chair of the NITRD Subcommittee of the National Science and Technology Council (NSTC) Committee on Technology (CoT), where he oversees the operations and activities of the NITRD Program. The NCO reports to the Office of Science and Technology Policy (OSTP), Executive Office of the President. 

Dr. Strawn is on assignment to the NCO from the National Science Foundation (NSF), where he most recently served as Chief Information Officer (CIO). As the CIO for NSF, he guided the agency in the development and design of innovative information technology, working to enable the NSF staff and the international community of scientists, engineers, and educators to improve business practices and pursue new methods of scientific communication, collaboration, and decision-making. 

Prior to his appointment as NSF CIO, Dr. Strawn served as the executive officer of the NSF Directorate for Computer and Information Science and Engineering (CISE) and as Acting Assistant Director for CISE. Previously, Dr. Strawn had served as the Director of the CISE Division of Advanced Networking Infrastructure and Research, where he led NSF’s efforts in the Presidential Next Generation Internet Initiative. During his years at NSF, Dr. Strawn was an active participant in activities of the interagency IT R&D program that is now called NITRD. 

Prior to coming to NSF, Dr. Strawn was a Computer Science faculty member at Iowa State University (ISU) for a number of years. He also served there as Director of the ISU Computation Center and Chair of the ISU Computer Science Department. Under his leadership, ISU became a charter member of MIDNET, a regional NSFNET network; he led the creation of a thousand-workstation academic system based on an extension of the MIT Athena system; and the ISU Computer Science department was accredited by the then-new Computer Science Accreditation Board. 

Dr. Strawn received his Ph.D. in Mathematics from Iowa State University and his BA Magna Cum Laude in Mathematics and Physics from Cornell College. He was elected as a Fellow of AAAS in October 2012.

Keynote 2: 
Hector Garcia-Molina
Stanford University, USA

It may sound contradictory to use humans to analyze big data, since humans cannot process huge amounts of data, may be error prone and are relatively slow. However, humans can do certain tasks much better than machines, e.g., tasks that involve image analysis or natural language. In this talk I will discuss how humans can be judiciously used to improve data analytics by cleansing, clustering and filtering critical data. I will also briefly describe ongoing work at our Stanford InfoLab in this area.

About the Speaker:
Dr. Hector Garcia-Molina

Dr. Hector Garcia-Molina is the Leonard Bosack and Sandra Lerner Professor in the Departments of Computer Science and Electrical Engineering at Stanford University, Stanford, California. He was the chairman of the Computer Science Department from January 2001 to December 2004. From 1997 to 2001 he was a member the President's Information Technology Advisory Committee (PITAC). From August 1994 to December 1997 he was the Director of the Computer Systems Laboratory at Stanford. From 1979 to 1991 he was on the faculty of the Computer Science Department at Princeton University, Princeton, New Jersey. His research interests include distributed computing systems, digital libraries and database systems. He received a BS in electrical engineering from the Instituto Tecnologico de Monterrey, Mexico, in 1974. From Stanford University, Stanford, California, he received in 1975 a MS in electrical engineering and a PhD in computer science in 1979. He holds an honorary PhD from ETH Zurich (2007). Garcia-Molina is a Fellow of the Association for Computing Machinery and of the American Academy of Arts and Sciences; is a member of the National Academy of Engineering; received the 1999 ACM SIGMOD Innovations Award; is a Venture Advisor for Onset Ventures, is a member of the Board of Directors of Oracle, and is a member of the State Farm Technical Advisory Council.

Keynote 3: Cloud Computing Transformation in Services and the Next Generation of Cloud Architecture 
Sesh Murthy

In the last half century, we have seen how computing has evolved ? from back office computing to client server computing to internet based e-business. A new inflection point is occurring in the industry, driven by the confluence of social, mobile, and cloud technologies and the rise of Big Data and analytics. Our clients see this as both an opportunity and a challenge as they grapple with the implications of change. In this session, we?ll look at what our clients are telling us about their IT evolution and how they are using cloud computing to drive innovation. Dr. Murthy will discuss security, services management, and application migration to the cloud as key elements to our clients' transformation. We?ll also look briefly at the future as convergence and the demand for interoperability define the next generation of cloud architecture.

About the Speaker:
Dr. Sesh Murthy

Dr. Sesh Murthy is the Leonard Bosack and Sandra Lerner Professor in the Departments of Computer Science and Electrical Engineering at Stanford University, Stanford. He was the chairman of the Computer Science Department from January 2001 to December 2004. From 1997 to 2001 he was a member the President's Information Technology Advisory Committee (PITAC). From August 1994 to December 1997 he was the Director of the Computer Systems Laboratory at Stanford. From 1979 to 1991 he was on the faculty of the Computer Science Department at Princeton University. His research interests include distributed computing systems, digital libraries and database systems. He received a BS in electrical engineering from the Instituto Tecnologico de Monterrey, Mexico, in 1974. From Stanford University, he received in 1975 a MS in electrical engineering and a PhD in computer science in 1979. He holds an honorary PhD from ETH Zurich (2007). Garcia-Molina is a Fellow of the ACM and of the American Academy of Arts and Sciences; is a member of the National Academy of Engineering; received the 1999 ACM SIGMOD Innovations Award; is a Venture Advisor for Onset Ventures, is a member of the Board of Directors of Oracle, and is a member of the State Farm Technical Advisory Council.

Keynote 4: Managing the Data Flood in Scientific Domains
Arie Shoshani
Lawrence Berkeley Lab, USA

In this talk, I will start by describing emerging challenges with the rapid increase in volume and complexity of data in scientific domains, with focus on support of data management, analysis and visualization of large-scale simulation data. This will be followed with a description of the recently formed Institute under the DOE SciDAC program, named the SDAV (Scalable Data-management, Analysis, and Visualization) institute. I will present multiple examples of existing techniques and tools in response to such challenges faced by the data flood in various scientific applications.

About the Speaker:
Dr. Arie Shoshani

Dr. Arie Shoshani is a senior staff scientist at Lawrence Berkeley National Laboratory. He joined LBNL in 1976, and currently heads the Scientific Data Management Group. He received his Ph.D. from Princeton University. His current areas of interest are in data models, storage management, wide-area data movement, and scientific data indexing. Arie is currently the director of the Scientific Data Management, Analysis, and Visualization (SDAV) Institute, which includes experts in these areas from 6 DOE labs and 7 universities. In 2008, he received the R&D100 award along with 3 colleagues, for the development of FastBit, a highly efficient bitmap Indexing method.

Plenary Panel 1: Advanced Analytics for Big Data
Moderator: Tony Shan, Advisory Consultant of Wipro, USA
David Champagne, Chief Architect & VP Research of Revolution Analytics
Erik Marcade, Founder and CTO of KXEN
Jari Koister, CTO and VP Technology of AgilOne
Roman Stanek, CEO and Founder of GoodData

Big data analytics enables organizations to develop advanced models to analyze large internal and external data sets. Enterprises use predictive models to enhance business performance, reduce costs, improve service quality and mitigate risks. Big data analytics comprises diverse tools that vary in scope, applied across, or limited to specific sectors and domains. These tools are leveraged to process data sets that vary greatly in terms structure, size and quality. 

Predictive analytics are increasingly yielding previously unreachable insights into big data, however, a number of challenges remain in this evolving space. For example, how do we tailor a model to an available data set? Can models be reused to reduce cost additional models? How can our models accommodate tens, hundreds, even thousands of data dimensions? Can we perform predictive analytics in real-time? Can our models scale to rapidly growing data? How do we efficiently deal with bad data? 

The industry gurus and field practitioners on this panel have wrestled and even mastered some of these challenges, and they will share their perspectives, experience and advice with you.

About the Moderator: 
Tony Shan

Tony Shan has decades of field experience and expertise on enterprise computing technologies. He has directed and advised the pragmatic lifecycle design of large-scale award-winning distributed systems on diverse platforms in Fortune 50 companies and public sector organizations. He is a regular speaker and organizer in preeminent conferences, a book author, an editor/editorial advisory board member of IT research journals, and a founder of several user groups and forums.

About the Panelists:
David Champagne

David Champagne is an innovative technology leader with over 20 years of experience in enterprise and web application development for business customers across a wide range of industries. As Principal Architect/Engineer for SPSS, David led the development teams, created and led the text mining architecture team and was responsible for a variety of open source initiatives. Prior to that, he served as Vice President of Software Engineering for LexiQuest, in charge of software development, quality assurance and publications for the company's entire product line. Earlier in his career, David was a systems engineer for Honeywell, and was also a freelance software consultant. He is a 1984 graduate of Southern Illinois University.

Erik Marcade

Erik Marcade is responsible for software development and information technologies at KXEN. He has over 25 years of experience in the artificial Intelligence and machine learning industry. Prior to KXEN, Erik developed real-time software expertise at Cadence Design Systems, accountable for advancing real-time software systems as well as managing "system-on-a-chip" projects. He also co-founded Mimetics, a French company that sold development environment, optical character recognition (OCR) products and services using neural network technology. Prior to Mimetics, Erik joined Thomson-CSF Weapon System Division (now Thales) as a software engineer and project manager working on the application of artificial intelligence for projects in weapons allocation, target detection and tracking, geo-strategic assessment, and software quality control.

Jari Koister

Dr. Jari Koister is the CTO and VP Technology at AgilOne, a Big Data Predictive Analytics company based in Mountain View, California. Jari has long experience from research and product development at companies such as, HP Labs, Commerce One and Metrima. He is the founder and CTO of a cloud based social enterprise solution. He also founded Qrodo, a cloud based sports cast service. While at, Dr. Koister was responsible for the development of Chatter, a social enterprise application used by hundreds of thousands of companies. Dr. Koister holds a Ph.D in Distributed Computing from the Royal Institute of Technology, Stockholm, Sweden.

Roman Stanek

Roman Stanek is a passionate entrepreneur and industry thought leader, with over 20 years of high-tech experience. His latest venture, GoodData, was founded in 2007 with the mission to disrupt the business intelligence space and monetize big data. Prior to GoodData, Roman was Founder and CEO of NetBeans, the leading Java development environment (acquired by Sun Microsystems in 1999) and Systinet, a leading SOA governance platform (acquired by Mercury Interactive, later Hewlett Packard, in 2006).

Plenary Panel 2: Role of SOA in Big Data Computing
Moderator: Beth Plale, Indiana University, USA 
Michael Goul, Arizona State University, USA
Michael R. Lyu, Chinese University of Hong Kong, China
I-Ling Yen, University of Texas at Dallas, USA
About the Moderator: 
Beth Plale

Dr. Beth Plaleis Professor of School of Informatics and Computing at Indiana University. She is Director of the Data to Insight Center, and Managing Director of Pervasive Technology Institute (PTI). She has broad research and governance interest in long term preservation and access to scientific data, and enabling computational access to large-scale data for broader groups of researchers. Her specific research interests are in tools for metadata and provenance capture, data repositories, cyberinfrastructure for large-scale data analysis, and workflow systems. Dr. Plale has published over 100 journal papers, book chapters, and conference papers. She received her Ph.D from State University of New York, Binghamton, followed with postdoctoral work at Georgia Institute of Technology. 
About the Panelists:
Michael Goul

Michael Goul is Professor and Chair of the Department of Information Systems, W.P. Carey School of Business, Arizona State University. His research bridges services computing and analytics. He was Co-PI on grants from Intel and American Express at the intersection of these areas, and he recently authored a case on eBay?s approach to experimentation that relies on a multi-tenant, self-service data warehouse infrastructure. His work in services computing led to a one-year appointment as a Distinguished University Scholar at the Clinton School of Public Service. Goul is also on the research faculty of the W.P. Carey School?s Center for Services Leadership.

Michael R. Lyu

Michael R. Lyu is a Professor of Computer Science and Engineering Department at The Chinese University of Hong Kong. He is IEEE Fellow and AAAS Fellow. Lyu worked at the Jet Propulsion Laboratory, the University of Iowa, Bellcore, and Bell Laboratories. His research interests include service computing, software reliability engineering, dependable computing, distributed systems, big data, and machine learning. He has published over 400 refereed journal and conference papers in these areas. He was the Founding Chair of ISSRE and Program Chair for ISSRE'96, WWW10, and ICWS?2013; General Chair for ISSRE'2001, PRDC'2005, and DSN?2011. He served as an Associate Editor of IEEE Transactions on Reliability, IEEE Transactions on Knowledge and Data Engineering, and Journal of Information Science and Engineering. Lyu received his Ph.D in Computer Science from University of California, Los Angeles.

 I-Ling Yen

Dr. I-Ling Yen is a Professor of the Computer Science Department at the University of Texas at Dallas. She received her BS degree from Tsing-Hua University, Taiwan, and her MS and PhD degrees from the University of Houston. Her research interests include Service-Oriented Computing, Cloud Computing, Dependable Distributed Systems, and High Assurance Systems. Dr. Yen has served as the Program Chair, General Chair, as well as program committee member for many conferences. Currently she is on the editorial boards of IEEE Transaction on Service Computing, Knowledge and Information Systems, and International Journal on Artificial Intelligence Tools. She is a Senior Member of the IEEE

Plenary Panel 3: Cloud in Action
Moderator: Alan Sussman, University of Maryland, USA 
Lorraine Herger, CIO, IBM T.J. Watson Research Center, USA
Andrzej M Goscinski, Deakin University, Australia
Dilma Da Silva, Qualcomm Research, USA
Charlie Sum, Intel Hybrid Cloud, USA
Tony Wasserman, Carnegie Mellon University ? Silicon Valley, USA

Cloud computing is currently a pervasive platform for delivering IT services via hardware, middleware, and applications. The panelists will share some key perspectives based on their experiences in academia, industry and government on how cloud computing is used, provided, and built with the current generation of technologies. They will also assess technology gaps and future research and development directions.

About the Moderator: 
Alan Sussman

Dr.Alan Sussman is a Professor in the Computer Science Department and Institute for Advanced Computer Studies at the University of Maryland. Working with students and other researchers at Maryland and other institutions he has published over 100 conference and journal papers in various topics related to software tools for high performance parallel and distributed computing, and has contributed chapters to 6 books. Software tools he has built have been widely distributed and used in many computational science applications, in areas such as earth science, space science, and medical informatics. He received his Ph.D. in computer science from Carnegie Mellon University.
About the Panelists:
Lorraine Herger

Lorraine Herger is the Director of Integrated Solutions and CIO of IBM Research. In this role, Lorraine is the service provider for the IBM Research Division. As part of being the Research CIO, Lorraine provides cloud services to the Research team as a worldwide distributed service. Over time, the 'move to cloud' has transformed the way in which IBM Research executes its computation, by moving to a consolidated model which has proved to be effective and efficient. Lorraine holds a BSEE from University of Maryland; BA, Columbia University and MBA, Stern School of Business, NYU. Ms. Herger is currently the VP, and incoming President, of the SWE-NY Professional Chapter, a Senior Member of the IEEE and the SWE-ABET (Accreditation Board for Engineering and Technology) representative.

Andrzej A. Goscinski

Andrzej A. Goscinski has had a long-standing interest in distributed systems, parallel processing, virtualization, autonomic and service computing, and cloud computing. His major achievements include the concept of abroker that led to its use in clouds; the Resource Via Web Services (RVWS) framework that contains service?s dynamic state and characteristics, and service publishing, selection and discovery; the contribution to level of cloud abstraction in the form of CaaS (Cluster as a Service); and comparative study of High Performance Computing clouds.

Dilma Da Silva

Dr. Dilma Da Silva is a Principal Engineer & Manager at Qualcomm Research. Her primary research interests are cloud computing, high-end computing, distributed computing, and operating systems. She is an ACM Distinguished Scientist and an ACM Distinguished Speaker. She is a member of the boards of CRA-W (Computer Research Association?s Committee on the Status of Women in Computing Research) and a Committee Member at CDC (Coalition for Diversity in Computing). Dr. Silva received her PhD in Computer Science from Georgia Tech. Prior to Qualcomm, she worked as a Research Staff Member at IBM Research. She was an Assistant Professor at University of Sao Paulo, Brazil, from 1996 to 2000.

Charlie Sum

Charlie Sum is Sr Director at Intel hybrid cloud. He has been involved in cloud computing for the past ten years. Prior to his current work on IOT sensor analytic at Intel, he was the Vice President of Emerging Technology at Oracle Cloud Services, responsible for improving SLA and service quality for its enterprise customers. His pioneering work there on autonomic monitoring and diagnostics, and on database performance prediction has won him four patents so far. Charlie is also active in the start-up world where he has served as advisors to thirteen start-up founders and CEO?s. His current interests span from social graphs for retail analytic to Big Data for connected vehicle and geo-monitoring.

Anthony I. (Tony) Wasserma

Anthony I. (Tony) Wasserma is a Professor of Software Management Practice at Carnegie Mellon Silicon Valley, and the Executive Director of its Center for Open Source Investigation (COSI). Tony is both ACM and IEEE Fellow. Prior to CMU, Tony was a Professor at UC San Francisco, CEO of Interactive Development Environments (IDE), VP of Bluestone Software, and Director at HP. At IDE, he released Pictures multiuser modeling environment, among the very first commercial products to include open source software. Tony served as General Chair of the 2009 Int'l. Conf. on Open Source Systems. He is on the Board of Directors of the Open Source Initiative (OSI) and the Board of Advisors of Open Source for America. Within the last year, Tony received the 2013 ACM's SIGSOFT Influential Educator Award, and 2012 Distinguished Educator Award from the IEEE's Technical Council on Software Engineering. Tony earned his Ph.D degree in Computer Science from University of Wisconsin-Madison.

Plenary Panel 4: Security and Engineering in Big Data
Moderator: Ernesto Damiani, University of Milan, Italy
Rafae Bhatti, Southern California University, USA
Marcello Leida, Etisalat BT Innovation Center (EBTIC), U.A.E.
Gail-Joon Ahn, Arizona State University, USA
Yuqing Gao, IBM T.J. Watson Research, USA
Bhavani Thuraisingham, University of Texas, Dallas, USA

Big Data are huge amounts of digital information that socio-economic actors (companies, local authorities, national governments and international agencies) collect about individuals, their activities and the context where they operate. Big Data explosion is a recent phenomenon: some estimates say that as much as 90% of the information now available worldwide was created after 2010. Today, Big Data exhibit high diversity of data sources, formats and of query/mining techniques. Still, they have several common features: Big Data sources are often stream-like in nature and Big Data are are mostly stored on large-scale cloud infrastructures, where they are sometimes shared between clouds and migrated from one cloud to another. The security community has started to notice that these unique features of Big Data are creating an unprecedented attack surface. Traditional data security mechanisms, which are tailored to securing small-scale, fixed-schema, static information, look entirely inadequate for this setting. The panel will present a unique view of the major open problems in Big Data security and privacy, setting a research agenda and pointing to some promising solutions.

About the Moderator: 
Ernesto Damiani

Ernesto Damiani is a full professor at the Università degli Studi di Milano from 2002 and the Head of the Università degli Studi di Milano’s PhD program in computer science from 2008. Ernesto’s areas of interest include cloud-based service and process analysis, processing of semi and unstructured information, knowledge representation and sharing. Ernesto has published several books and about 300 papers and international patents. He leads/has led a number of international research projects: he is the Principal Investigator of the ASSERT4SOA project (STREP) on the certification of SOA; leads the activity of SESAR research unit within SecureSCM (STREP), ARISTOTELE (IP), PRACTICE ((IP) ASSERT4SOA (STREP), and CUMULUS (STREP) projects funded by the EC in the 7th Framework Program. Ernesto has been an Associate Editor of the IEEE Trans. on Service-Oriented Computing since its inception. Also, Ernesto is Editor in chief of the International Journal of Knowledge and Learning (Inderscience) and of the International Journal of Web Technology and Engineering (IJWTE). He has served and is serving in all capacities on many congress, conference, and workshop committees. He is a senior member of the IEEE and ACM Distinguished Scientist.

About the Panelists:
Dr. Gail-Joon Ahn

Gail-Joon Ahn, Ph.D, CISSP is an Associate Professor of Computer Science and Engineering Program in the School of Computing, Informatics and Decision Systems Engineering at Arizona State University and Director of Laboratory of Security Engineering for Future Computing (SEFCOM: Prior to ASU, he was a Founding Director of Center for Digital Identity and Cyber Defense Research (DICyDER) at UNC Charlotte. His research foci include access control, secure information sharing, vulnerability and risk management, identity and privacy management, security-enhanced computing platforms, security architecture for network and distributed systems, and modeling for computer security. His research has been supported by NSF, NSA, DoD, DoE, DoJ, Bank of America, Hewlett Packard, Microsoft and Robert Wood Johnson Foundation. He is currently an information director of ACM Special Interest Group on Security, Audit and Control (SIGSAC) and he is a recipient of US Department of Energy Early Career Principal Investigator Award and Educator of the Year Award from Federal Information Systems Security Educators' Association (FISSEA). Also, he serves as Associate Editor-in-Chief of IEEE Transactions on Dependable and Secure Computing and Associate Editor of ACM Transactions on Information and Systems Security. He is also a Steering Committee Chair of ACM Symposium on Access Control Models and Technologies.

Rafae Bhatti

Rafae Bhatti is a Manager of US West region at PwC where he is responsible for development of thought leadership and client delivery for the Data Protection and Privacy practice of the firm. Prior to PwC, he was a Manager in Cyber Security R&D at Accenture Technology Labs, where he helped guide Lab strategic vision around data privacy, and also represented Accenture at leading conferences and panels on topics of data privacy and security, such as the IAPP Privacy Symposium and ACM SACMAT conference. In other roles, he is also an author and part-time educator, and has a passion to share knowledge and engage with the community. He currently lives in the San Francisco Bay Area. Rafae received a Ph.D from Purdue University in 2006.

Dr. Yuqing Gao

Dr. Yuqing Gao is a senior manager and a Research Staff Member at IBM T. J. Watson Research Center, where she is a PI for the Data Centric Computing Strategic Initiative, leading the development of massive scale infrastructure middleware for data-centric systems. She is a co-PI for the Workload Optimized Systems Strategic Initiative. She headed the Laboratory for Speech to Speech Translation Systems at IBM in 2006-2007. She was the principal investigator of DARPA CAST and TransTac Programs at IBM in 2001-2008, and led research and development of IBM MASTOR (Multilingual Automatic Speech-to-Speech Translator) systems, which received exceptional reviews for its superior accuracy and robustness, speed and memory efficiency. She received the IEEE Signal Processing Society Best Paper Award for her paper “Maximum entropy direct models for speech recognition” in 2007, and won two awards from DARPA for her exemplary work & breakthroughs in the application of translation technology in military and homeland security areas. In 2004, Dr. Gao’s work was recognized by MIT’s Technology Review Magazine as one of the “Ten emerging technologies that will change your world”. In 2005, her work was a cover story about “What’s Next” in Time magazine. She was featured by CNN, ABC, BBC and many major media. She received IBM Corporate Award, Outstanding Innovation Awards and Research Division Awards. She is a member of IBM Academy of Technology, an IEEE Fellow, published over 120 papers, holds over 30 issued patents.

Marcello Leida

Marcello Leida received his Ph.D. in Computer Science from the Universita' degli Studi di Milano. During his Ph.D. he did research on Data Integration architectures, Ontology applications, Ontology Matching and uncertainty information management. After a post doc period in the BT research labs, he joined EBTIC in August 2009 and he is doing research on business process analysis and data semantics. He is working in the Enterprise and Distributed Applications area: leading the research project on Real-time Business Process Analysis: a cloud-enabled, grid-based triple-store applied to real time business process analysis. He is also responsible for the down-streaming and physical deployment and maintenance in enterprise servers of the research projects developed by the team to production environments and integration of our systems with existing Business Intelligence solutions. His interests are mainly focused on Semantic Web and Linked Data, Big Data, automatic data visualization techniques, business process analysis and artificial intelligence in general; he published a book, several papers, workshop and journals on these topics. He has been program committee and referee for several conferences and journals and member of IFIP W.G. 2.6 on database semantics.

Bhavani Thuraisingham

Bhavani Thuraisingham is the Louis A. Beecherl, Jr. DistinguishedProfessor in the Erik Jonsson School of Engineering and Computer Science at The University of Texas at Dallas (UTD) and the executive director of UTD?s Cyber Security Research and Education Institute. Her current research is on integrating cyber security, cloud computing and big data analytics. Prior to joining UTD she worked at the MITRE Corporation for 16 years including a three year stint as a Program Director at the NSF. She initiated the Data and Applications Security program at NSF and was part of the Cyber Trust theme. Prior to MITRE she worked for the commercial industry for six years. She is the recipient of numerous awards including the IEEE CS 1997 Technical Achievement Award, the ACM SIGSAC 2010 Outstanding Contributions Award, and a 2013 IBM Faculty Award. She is a Fellow of IEEE, AAAS and the British Computer Society. She has published over 100 journal articles, over 200 conference papers and 12 books and has delivered over 100 keynote and invited addresses.

Plenary Panel 5: Challenges in Cloud Engineering
Moderator: Steve Yau, Arizona State University, USA
Rong Chang, IBM T.J. Watson Research Center, USA
Steve Diamond, EMC Corporation, USA
Ananth Grama, Purdue University, USA
Mohammad Zulkernine, Queen’s University, Canada
Amrit Jassal, CTO and Co-Founder, Egnyte, USA

This panel will discuss a number of challenges for developing cost-effective cloud systems for various applications in the current rapidly changing environments. The considerations will include from the perspectives of clients and service providers, satisfying both functional and quality requirements of user applications, as well as the establishment of standards for cloud systems.

About the Moderator: 
 Stephen S. Yau

Stephen S. Yau is Professor of Computer Science and Engineering and the director of Information Assurance Center at Arizona State University, and served as the chair of Department of Computer Science and Engineering at ASU. Previously, he was on the faculties of Northwestern University and University of Florida. His current research is in cloud and service computing systems, cyber security and software engineering. He served as the president of IEEE Computer Society and on the boards of directors of the IEEE and Computing Research Association. He also served as the EIC of IEEE Computer, and organized many major conferences. He is an honorary chair of IEEE 2013 ICWS/SCC/CLOUD/MS/SERVICES. He received the Tsutomu Kanai Award and Richard E. Merwin Award of IEEE Computer Society, IEEE Centennial Award and Third Millennium Medal. He is a Life Fellow of IEEE and a Fellow of American Association for the Advancement of Science

About the Panelists:
Rong N. Chang

Rong N. Chang, is Manager and Research Staff Member at the IBM T.J. Watson Research Center. He received his Ph.D. degree in computer science and engineering from the University of Michigan at Ann Arbor. Before joining IBM in 1993, he was with Bellcore researching on B-ISDN realization. He received the ITIL Foundation Certificate in IT Services Management, and completed a Micro MBA Program. He received an IEEE Best Paper Award, and many IBM awards, including four corporate-level Outstanding Technical Achievement Awards. He is an associate editor of IEEE Transactions on Services Computing. He has chaired several conferences and workshops in cloud computing and Internet-enabled distributed services and applications. He is a Senior Member of ACM and IEEE. He is a General Chair of CLOUD 2013.

Steve Diamond

Steve Diamond is Global Standards Officer and General Manager of Industry Standards at EMC Corporation. He chairs the IEEE Cloud Computing Initiative and the IEEE Cloud Computing Standards Committee. He has 30 years of senior management experience in semiconductors, software, systems, and standards. Prior to EMC, he was Director at Cisco and VP of Marketing at Equator Technologies. Steve has authored more than 20 technical publications. He was the 2003 President of IEEE Computer Society and served on the IEEE Board of Directors. He was awarded the IEEE Third Millennium Medal in 2000.

Ananth Grama

Ananth Grama is the Director of Computational Science and Engineering and Professor of Computer Science at Purdue University. He is also the Associate Director of the Center for Science of Information, a Science and Technology Center of the National Science Foundation. He received his Ph.D. in 1996 from the University of Minnesota. His primary areas of interest include parallel and distributed computing, computational science and engineering, and large-scale data analytics. He currently serves on the editorial boards of IEEE Transactions on Parallel and Distributed Systems, Journal of Parallel and Distributed Computing, and Parallel Computing, and chairs the Biodata Management and Analysis Study Section of the National Institutes of Health.

Amrit Jassal

Amrit Jassal is co-founder and CTO of Egnyte Inc., a provider of file sharing platforms that leverage a combination of public and private cloud technologies. At Egnyte he is responsible for setting the technology direction of the company and architecture for all products. Since 1990, he has helped companies design and implement innovative technical solutions for myriad enterprise problems. During stints at Coopers & Lybrand and KPMG, he implemented global enterprise systems at a wide variety of companies, such as Cisco and Lockheed Martin. Prior to founding two startups, he consulted with companies, such as Fujitsu, Lucent, Sun Microsystems. He holds patents in the field of analytics and cloud technologies such as object stores. He received the B.Tech in Computer Science from Indian Institute of Technology, Delhi, and a MBA from Indian Institute of Management, Bangalore.

Mohammad Zulkernine

Mohammad Zulkernine is a Canada Research Chair in Software Dependability and an Associate Professor at the School of Computing of Queen?s University, Canada. He leads the Queen?s Reliable Software Technology (QRST) research lab. He has taught and received his education in four countries on three continents (Bangladesh, Japan, Canada, and Italy). He received his PhD from the University of Waterloo, Canada. His research projects are supported by a number of provincial and federal research funding agencies. He is also collaborating with various industrial research partners such as Bell Canada and IBM. He was/is program co-chair of SSIRI?11, COMPSAC?12, and HASE?14. He is a senior member of the IEEE, a member of the ACM, and a licensed professional engineer in the province of Ontario, Canada.

Plenary Panel 6: Challenges in Cloud Engineering
Moderators: Ming-Chien, Shan, SAP, USA; 
Paul Hofmann, Saffron, USA
Jake Flomenberg (Accel Venture)
Savitha Srinivasan (IBM venture)
Gaurav Tewari, SAP Ventures
Dharmesh D. Thakker (Intel Capital)

This panel will discuss a number of challenges for developing cost-effective cloud systems for various applications in the current rapidly changing environments. The considerations will include from the perspectives of clients and service providers, satisfying both functional and quality requirements of user applications, as well as the establishment of standards for cloud systems.

About the Moderator: 
Paul Hofmann

Dr.Paul Hofmann is CTO at Saffron Technology. Before joining Saffron Paul was VP Research at SAP Labs. His background is entrenched in research as Senior Scientist and Assistant Professor at outstanding European and American Universities (Northwestern University, U.S., Munich Institue of Technology and Darmstadt Institue of Technology, Germany) and he is an expert in computer simulations and graphics (Ph.D., research and teaching in Nonlinear Dynamics and Chaos Theory), authoring numerous publications and books, including a book on SCM and environmental information systems as well as performance management and productivity of supply chains. Paul was visiting scientist at MIT, Cambridge in 2009. Paul joined SAP in 2001 as Director for Business Development EMEA SAP AG. Paul has created the Value Based Selling program for SAP in EMEA. Prior to joining SAP, Paul was Plant Manager at BASF?s Catalysts Global Business Unit. He implemented SAP?s Business Suite in BASF?s Chemicals Division. Paul received his Ph.D. in Physics at the Darmstadt University of Technology, Germany.

Ming-Chien Shan

Ming-Chien Shan is VP at SAP, USA. He is in charge of SAP long-term smart city application & business development and Big Data technology scouting and evaluation. Dr. Shan started his career at IBM leading the DB2 technology transfer from research lab to product division, and then joined HP and took various senior management positions to supervise research programs and product developments across US, Europe and China. He has published more than 100 research papers and been granted 80 software patents. He served US NSF as University Grant Examiner for Intelligent database management, workflow and mobile sensor data management program. Dr. Shan served as associate editor of IEEE Journal of Transactions on Services Computing and of International Journal of Big Data. He has served as chairperson or program committee members in many conferences. Dr. Shan is an adjunct professor at Peking University, also a co-director of the Center of Cloud Computing and Big Data at East China Normal University. Dr. Shan received his PhD degree in computer science from University of California, Berkeley.

About the Panelists:
Jake Flomenberg

Jake Flomenberg joined Accel in 2012. He has over a decade of experience building innovative software products. He focuses on early stage investments in next generation infrasture and data-driven services and is part of the team responsible for Accel's Big Data Fund. Jake currently sits on the board of Origami Logic, provider of a visual Big Data analytics platform for marketers, Trifacta, creator of radical productivity software for data preparation and analysis, and Sumo Logic, a cloud-based log management and analytics solution. Prior to Accel, Jake was Director of Product Management at Splunk where he was responsible for Splunk's user interface and Big Data strategy. Previously, he worked at Cloudera where he helped the founding team tackle a broad array of sales, marketing, and product issues. Earlier in his career, Jake was a member of Lockheed Martin's Engineering Leadership Development Program and held several roles ranging from software development to business strategy and M&A. Jake holds a B.S.E. in Computer Science, Electrical Computer Engineering, and Economics from Duke University, an M.S.E in Systems Engineering from the University of Pennsylvania, and an M.B.A. from Harvard Business School.

Savitha Srinivasan

Savitha Srinivasan is a Partner in IBM's VC Group in Corporate Strategy where she develops strategic relationships with venture capitalists and their portfolio companies to leverage external innovation for mutual strategic advantage. She has over 20 years of experience at IBM in leadership roles addressing the strategic priorities of IBM?s Services businesses and leads the development of IBM?s Services venture ecosystem. She is currently engaged in driving IBM Watson?s content partnership strategy. Prior to this, she led multiple research teams as Senior Manager at IBM Research's first Services group to create and deliver value for IBM clients with data mining and business intelligence solutions. Attained ten times return on investment with increased revenue and cost savings exceeding ~$40M. She has over 15 patents in unstructured information management. She received an MS in computer science from Pace University and an executive MBA from Columbia University. She is a member of IEEE and ACM and an area editor for IEEE Computer.

Gaurav Tewari

Gaurav Tewari is Executive Director at SAP Ventures where he focuses on expansion- and later-stage investments within Big Data, Software/SaaS, Mobile, Internet, and Next-gen Enterprise sectors. Prior to SAP Ventures, Gaurav was a Principal of Boston-based Highland Capital Partners leading early and growth-stage investments, and has held numerous board seats. Previously, Gaurav was a Corporate Strategy executive at Microsoft Corporation and a management consultant with McKinsey & Company. He started his career in engineering, operations, and product management roles at Microsoft and IBM Research. Gaurav received his MBA from the Wharton School and holds Bachelors and Masters degrees in Computer Science and Economics from MIT. Gaurav is a co-inventor on 9 issued US technology patents.

Dharmesh D. Thakker

Dharmesh D. Thakker focuses on Cloud Infrastructure, Big Data and Embedded Software investments and led Intel?s investment in 10gen, DynamicOps (acquired by VMware), ElasticBox, Enlighted, and Guavus Analytics. He joined Intel Capital from Advanced Technology Ventures where he supported Enterprise Software and Cleantech investments, including Omneon Storage (Harmonic), Qumu (Rimage), Nuventix, and Actifio. Dharmesh brings strong entrepreneurial and operating experience in cloud software and SaaS to support his portfolio companies. At Keynote Systems (KEYN), he launched performance management solutions for many of the world?s leading video, mobile and web apps, and helped grow recurring SaaS revenue from 0 to $20mm in 2 years. He was also an early team member at InterNetwork (acquired by FinePoint) and Peakstone (acquired by Entrust) leading OEM and channel sales with HP, Exodus, and IBM. He received his MBA from Wharton and a BS in EE from The University of Texas at Austin.

Plenary Panel 7: Context-Aware Mobile Services
Moderators: Pankaj Mehra, CTO and SVP of Fusion-IO; 
Munindar P. Singh, North Carolina State University, USA
Martin Griss, Carnegie Mellon University -Silicon Valley, USA
Michael Melliar-Smith, UC-Santa Barbara, USA
Nimish Radia, R&D Director, Ericsson, USA

The rapid expansion of mobile and ubiquitous computing enables many new ways of creating and providing value. But the value to an end uses, whether an individual or an organization, depends fundamentally on its context. Although context has been both an enticing and a slippery concept on the fringes of computer science for decades, recent advances promise to yield deep insights and techniques for the representation of context, reasoning about context in a systematic manner, and incorporating it in the creation and delivery of value. 

This panel will involve a free-ranging discussion on a variety of topics pertaining to context-aware mobile services, including theory (exemplified by modeling human attention and cognition) and practice (exemplified by reasoning tools and architectures for trust).

About the Moderators: 
Ernesto Damiani

Dr. Pankaj Mehra is CTO and SVP of of Fusion-IO. Prior to that, Mr. Mehra served as founder and SVP and CTO of Whodini, Inc., an enterprise software company. From January 2008 to August 2010, Dr. Mehra served as Chief Scientist of HP Labs Russia. Dr. Mehra also previously served as a Distinguished Technologist at HP Labs and a Distinguished Technologist (Information Services), HP StorageWorks. Dr. Mehra has co-authored three books, coordinated industry participation in the Stanford University led Collaborative Data Management Initiative, and served on the program committee of International Semantic Web Conference and on the editorial board of IEEE Internet Computing magazine. Dr. Mehra holds a Ph.D. in Computer Science from University of Illinois at Urbana-Champaign.

Ernesto Damiani

Dr. Munindar P. Singh is a professor in Computer Science at North Carolina State University. His research interests include multiagent systems, mobile social computing, and trust. His current and past research sponsors include Army Research Laboratory, Army Research Office, Cisco Systems, DARPA, Ericsson, IBM, Intel, National Science Foundation, the Ocean Observatories Initiative, and Xerox. Munindar is a Fellow of the IEEE, a former editor-in-chief of IEEE Internet Computing, current editor-in-chief of the ACM Transactions on Internet Technology, and a current editorial board member of Autonomous Agents and Multiagent Systems, IEEE Internet Computing, ACM Transactions on Intelligent Systems and Technology, and Journal of Artificial Intelligence Research. Munindar’s home page is

About the Panelists:
Prof. Martin Griss

Dr. Martin L. Griss is the Director of Carnegie Mellon University, Silicon Valley campus and Associate Dean of Engineering. He is director of the Disaster Management Initiative, and founder and former director of the Cylab Mobility Research Center. Martin’s recent research interests focus on mobile applications and services, software agents, disaster management, and software reuse. Prior to CMU, Martin spent two decades as Principal Laboratory Scientist at HP and as Director of HP's 70-person Software Technology Laboratory. Prior to HP, Martin was a tenured Associate Professor at University of Utah. He has served on the ACM SIGSOFT Executive Committee, and numerous program committees. He is co-author of the popular book Software Reuse: Architecture, Process and Organization for Business Success and has published over 70 papers, 80 technical reports, and numerous book chapters, columns, panels, and tutorials. Martin earned his Ph.D. in physics from the University of Illinois.

Michael Melliar-Smith

Michael Melliar-Smith is a Professor in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara. His research interests span the areas of distributed systems, communication networks and protocols, and fault tolerance. He has served as PI for numerous funded research projects from DARPA, AFOSR, NSF, UC Micro and UC Discovery. He has published more than 240 publications, has more than 10 patents. Prior to UCSB, at GEC Computers in England, Dr. Melliar-Smith was principal designer of the GEC 4080, which won the Queen's Award for Innovation. At the University of Newcastle upon Tyne, he invented the definitions of fault, error and failure, as well as the recovery block method for software fault tolerance. As Senior Computer Scientist and Program Director at Stanford Research Institute, he was involved in the design of the Software-Implemented Fault-Tolerant(SIFT) aircraft flight control computer and was leader of the NASA funded Enhanced Hierarchical Design Methodology (EHDM) project for formal specification and verification.

Dr. Nimish Radia

Nimish Radia Ph.D., has over 19 years of experience in the IT, mobile, telecom, and finance industry with a strong combination of technology expertise and business acumen. He has proven leadership in transforming technology into multi-million dollar profitable vertical and horizontal solutions spanning Service and Web oriented architecture, Service Delivery Platforms (SDPs) for next generation communication and collaboration services, Identity and Context-Aware Services, Mobile Computing, Targeted Advertising, Big Data, and Cloud computing. Dr. Radia is currently Director at Ericsson leading it's Research and Innovation efforts in Silicon Valley for next generation Services and Software in areas such as Big Data, Social Computing, IoT, and contextual user-centered solutions for Networked Society challenges including Healthcare, Public safety, Media, and Smart Energy.

Contact Information

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