Keynotes for IEEE CIC 2015

Keynote 1:  Challenges in Creating Smart City Services with IoT/CPS platforms (October 28th)

Abstract: Convergence between cyber and physical spaces is accelerating due to the penetration of various hard, soft, and social sensors, smart phones, wearable devices and actuators. Innovative smart city services are being created by connecting many things to the Internet through such personal as well as global enablers. However, many smart city services are created in a vertical fashion and it is not easy to create a new service based on heterogeneous data streams or services. Similarly, there are many interesting city data such as weather, air quality index values, traffic conditions and car parking occupancy published in Web space, however, those data are not easy to be used by smart city apps due to a lack of APIs. In this talk, we discuss challenges in creating smart city services with IoT/CPS platforms. We first introduce the two types of smart city development efforts and then discuss the various types of smart city services and apps. We then discuss three on-going projects, namely ClouT project, G-Space project and SODA project that are aiming to empowering citizens and improving QoL and resiliency of the cities. We also introduce, so called Sensorizer for sensorizing passive data from web pages without any modifications. We summarize with the discussion of the challenges in creating sustainable smart city services and platforms.


Hideyuki Tokuda is a Dean and Professor of the Graduate School of Media and Governance and Professor at the Faculty of Environment and Information Studies, Keio University, Japan. He obtained his B.S. (1975), M.S. (1977) from Keio University and Ph.D. (Computer Science) (1983) from University of Waterloo, Canada, respectively.
After he completed Ph.D., he joined School of Computer Science, Carnegie Mellon University and worked on distributed real-time operating systems such as Real-Time Mach, the ARTS Kernel.
In 1990, he came back to Keio University. His research and teaching interests include Ubiquitous Computing Systems, OS, Sensor Networks, IoT/IoE, Cyber-Physical Systems and Smart Cities. He has created many ubiquitous computing platforms such as Smart Space Lab., Smart Furniture, uPhoto, uTexture and uPlatea. Because of his research contribution, he was awarded Motorola Foundation Award (89), IBM Faculty Award (02), Ministry of Economy, Trade and Industry Award (04) and Ministry of Internal Affairs and Communication Award (05) in Japan.
He is a member of Science Council of Japan, a vice president of IPSJ (Information Processing Society of Japan), IPSJ Fellow, JSSST (Japan Society for Software Science and Technology) Fellow, and a member of ACM, IEEE IEICE and JSSST.

Keynote 2:  Big Computing and Cloud Data (October 28th)

Abstract: Cloud-based computing has been prevalently applied in social governance and commercial areas. Neverthess, we argue that cloud computing should not be the substitute or extension of high-performance computing. Instead, cloud computing is more like general-purpose computing, and even the most common server can serve as the component for cloud computing. It is more precise to adopt the concept of “Cloud Data and Big Computing” rather than “Big Data and Cloud Computing”, since the significance and prominent potential of data originates from its externality. Transmitting data to cloud and realizing Big Computing is the reflection of human society marching towards intelligent society.


Zipei Tu is the vice president of Alibaba Corporation. He graduated from Department of Computer Science, Huazhong University of Science and Technology. He used to in the information department of Guangdong Provincial Armed Border Guards and Guangzhou Government for 10 years, during which he developed the nation's first information management system on anti-smuggling. He went to CMU in 2006, where he received his MPA and Master degree on computer science. Zipei Tu came back to China from silicon valley in December, 2014 and served as the VP of Alibaba Corporation. Meanwhile, he is in charge of the Institute of Innovative Big Data (IDST). Mr. Tu’s <<Big Data>>, which is published in July 2012, was known as the first authoritative work on Big Data in China. This book initiated open discussion on Big Data strategies, data governance and open data in Chinese society. The book has won the country Libraries Wenjin Book Award, the fourth Chinese frontier exploration Soft Science Award, the 2012 annual ten best books award, etc. <<Summit of Data>>, Mr. Tu’s another work, discusses the sources of big data, retrospect the data civilization and the booming history of data technology, and proposes big data should be transformed from a science symbol into a culture symbol. This book has been appraised as a significant topic for Chinese world and a brand new cultural field.

Keynote 3:  Attribute-based Access Control Models and Beyond (October 29th)

Abstract: This talk will provide a perspective on attribute-based access control (ABAC). The ongoing authorization leap from rights to attributes offers numerous compelling benefits. Decisions about user, subject, object and context attributes can be made relatively independently and with suitable decentralization appropriate for each attribute. Policies can be formulated by security architects to translate from attributes to rights. Dynamic elements can be built into these policies so the outcomes of access control decisions automatically adapt to changing local and global circumstances.
On the benefits side this leap is a maturation of authorization matching the needs of emerging cyber technologies and systems. On the risks side devolving attribute management may lead to attributes of questionable provenance and value, with attendant possibility of new channels for social engineering and malware attacks. We argue that the potential benefits will lead to pervasive deployment of attribute-based access control, and more generally attribute-based security. The cyber security research community has a responsibility to develop models, theories and systems which enable safe and chaos-free deployment of ABAC. This is a current grand challenge.


Ravi Sandhu is Executive Director of the Institute for Cyber Security at the University of Texas at San Antonio, where he holds the Lutcher Brown Endowed Chair in Cyber Security. Previously he served on the faculty at George Mason University (1989-2007) and Ohio State University (1982-1989). He holds BTech and MTech degrees from IIT Bombay and Delhi, and MS and PhD degrees from Rutgers University. He is a Fellow of IEEE, ACM and AAAS, and has received awards from IEEE, ACM, NSA and NIST. A prolific and highly cited author, his research has been funded by NSF, NSA, NIST, DARPA, AFOSR, ONR, AFRL and private industry. His seminal papers on role-based access control established it as the dominant form of access control in practical systems. His numerous other models and mechanisms have also had considerable real-world impact. He served as Editor-in-Chief of the IEEE Transactions on Dependable and Secure Computing, and previously as founding Editor-in-Chief of ACM Transactions on Information and System Security. He was Chairman of ACM SIGSAC, and founded the ACM Conference on Computer and Communications Security, the ACM Symposium on Access Control Models and Technologies and the ACM Conference on Data and Application Security and Privacy. He has served as General Chair, Steering Committee Chair, Program Chair and Committee Member for numerous security conferences. He has consulted for leading industry and government organizations, and has lectured all over the world. He is an inventor on 30 security technology patents and has accumulated over 28,000 Google Scholar citations for his papers. At the Institute for Cyber Security his research projects include attribute-based access control, secure cloud computing, secure information sharing, social computing security, and secure data provenance. His web site is at

Keynote 4:  Baidu Spatial-temporal Brain (STEB) -- The intelligent analytics platform of Baidu large-scale spatial-temporal data

Abstract: Almost everyone has a personal mobile device nowadays, and location aware mobile applications are extensively used in our everyday life. Therefore, users’ spatial-temporal information were captured by such devices. Baidu, which possesses the largest online map service in China, receives more than 10 billion location request, 100 million local search queries per day. Baidu Spatial-temporal Brain (STEB) is the intelligent analytics platform of such large scale spatial temporal data. We have applied it on various types of applications ranging from smarter city to social good. For example, STEB is able to quantify the mobility pattern of each individual, infer his/her mobility preference, and predict the future intent and location, making the personal intelligent assistant possible. Besides, it is also able to discover the movement pattern of human crowds, and detect crowd anomaly, which benefits many fields such as city planning, social safety and so on.


Haishan Wu is a data scientist in Big Data Lab of Baidu Research, his research interest is quantifying the dynamics of various types of complex systems in the nature, ranging from human crowds to animal groups. He got his PhD from computer science department of Fudan University in China in 2011. He then joined IBM Research in Beijing, and focused on business data mining and analytics. In 2013, he joined Iain Couzin's lab in Princeton University as a postdoc researcher, and worked on quantifying animal collective behavior via computer vision and machine learning techniques. Related research have been published on journal including PNAS, Current Biology and so on. Since 2014, he leads a research group in Big data lab of Baidu research, working toward model human mobility and collective behavior from large scale data of Baidu.

Co-located Workshops


Copyright: International Conference on Collaboration and Internet Computing(CIC) - All Rights Reserved.