IEEE CLOUD 2018 Organizing Committee

IEEE CLOUD 2018 Organizing Committee

CLOUD 2018 Chairs

General Chair: Prof. Geoffrey C. Fox, Indiana University, USA
General Co-Chair: Prof. Daniel A. Reed, University of Iowa, USA
Program Chair: Prof. Ian Foster, University of Chicago and Argonne National Lab, USA
Program Co-Chair: Prof. Jia Zhang, Carnegie Mellon University, USA

CLOUD 2018 Program Committee Members

Gail-Joon Ahn, Arizona State University, USA
Kento Aida, National Institute of Informatics, Japan
Marco Aiello, University of Groningen, The Netherlands
Jorn Altmann, Seoul National University, South Korea
Gabriel Antoniu, INRIA, France
Amy Apon, Clemson University, USA
Danilo Ardagna, Politecnico di Milano, Italy
Janaka Balasooriya, Arizona State University, USA
Bharath Balasubramanian, AT&T Labs Research, USA
Karin Becker, UFRGS, Brazil
Elisa Bertino, Purdue University, USA
Ken Birman, Cornell University, USA
Ivona Brandic, Vienna University of Technology, Austria
Mauricio Breternitz, AMD Research, USA
Kris Bubendorfer, Victoria University of Wellington, New Zealand
Rajkumar Buyya, The University of Melbourne, Australia
Claris Castillo, UNC Chapel Hill, USA
Ee-Chien Chang, National University of Singapore
Kyle Chard, University of Chicago and Argonne National Lab, USA
Giorgos Cheliotis, National University of Singapore
Feng Chen, Louisiana State University, USA
Haopeng Chen, Shanghai Jiao Tong University, China
Keke Chen, Wright State University, USA
Songqing Chen, George Mason University, USA
Yong Chen, Texas Tech University, USA
Malolan Chetlur, IBM India Research Lab
Gregory Chockler, University of London, UK
Charles Consel, Inria / Bordeaux Institute of Technology, France
Stephen Crago, USC/ISI, USA
Bruno Crispo, University of Trento, Italy
Alfredo Cuzzocrea, ICAR-CNR and University of Calabria, Italy
Shuiguang Deng, Zhejiang University, China
Schahram Dustdar, Vienna University of Technology, Austria
Robert Van Engelen, Florida State University, USA
David Eyers, University of Otago, New Zealand
Thomas Fahringer, University of Innsbruck, Austria
Elena Ferrari, University of Insubria, Italy
João Eduardo Ferreira, University of São Paulo, Brazil
Dennis Gannon, Indiana University, USA
Debin Gao, Singapore Management University
Chris Gniady, University of Arizona, USA
Andrzej Goscinski, Deakin University, Australia
Kannan Govindarajan, Indiana University, USA
Madhu Govindaraju, State University of New York - Binghamton, USA
Paul Grefen, Eindhoven University of Technology, The Netherlands
Daniel Grosu, Wayne State University, USA
Mike Goul, Arizona State University, USA
Mohammad Hamdaqa, University of Waterloo, Canada
Yuxiong He, Microsoft, USA
Robert Hsu, Chung Hua University, Taiwan
H. Howie Huang, George Washington University, USA
Sheng Huang, IBM China Research
Waldemar Hummer, IBM Research, USA
Marty Humphrey, University of Virginia, USA
Adriana Iamnitchi, University of South Florida, USA
Praveen Jayachandran, IBM Research India
Deepal Jayasinghe, Geogia Tech, USA
Hai Jin, Huazhong University of Science and Technology, China
Anupam Joshi, University of Maryland Baltimore County, USA
Gueyoung Jung, AT&T Labs, USA
Vana Kalogeraki, Athens University of Economics and Business, Greece
Naga Kandasamy, Drexel University, USA
Yasuhiko Kanemasa, Fujitsu Laboratories Ltd., Japan
Jacek Kitowski, Inst. Comput. Sci. AGH-UST & CYFRONET AGH, Poland
Hsien-Ju Ko, Asia University, Taiwan
Alexander Konstantinou, Google, USA
Chandra Krintz, University of California, Santa Barbara, USA
Diwakar Krishnamurthy, University of Calgary, Canada
Ram Krishnan, University of Texas at San Antonio, USA
Ashish Kundu, IBM, USA
Philipp Leitner, Chalmers University of Technology and University of Gothenburg, Sweden
Marin Litoiu, University of York, UK
Xumin Liu, Rochester Institute of Technology, USA
Ignacio Llorente, Complutense University, Spain, and Harvard University, USA
Hui Lu, Binghamton University, USA
Lei Lu, VMware, USA
Shiyong Lu, Wayne State University, USA
Heiko Ludwig, IBM, USA
Brahim Medjahed, University of Michigan, Dearborn, USA
Sameep Mehta, IBM India Research Lab
Fanjing Meng, IBM China Research Lab
Ningfang Mi, Northeastern University, USA
Ajay Mohindra, IBM, USA
Kwang Mong Sim, University of Kent, UK
Ramses Morales, VMware, USA
Klara Nahrstedt, University of Illinois - Urbana-Champaign, USA
Leandro Navarro, Universitat Politècnica de Catalunya, Spain
Dirk Neumann, Albert-Ludwigs-Universität Freiburg, Germany
Talal H. Noor, Taibah University, Saudi Arabia
Seog-Chan Oh, General Motors R&D, USA
Sanjay Patel, LDRP-ITR, India
Bo Peng, Indiana University, USA
Roberto Di Pietro, Bell Labs, Italy
Judy Qiu, Indiana University Bloomington, USA
Ioan Raicu, Illinois Institute of Technology, USA
Omer Rana, Cardiff University, UK
Ajith Ranabahu, Amazon, USA
Kui Ren, State University of New York at Buffalo, USA
Shaolei Ren, University of California - Riverside, USA
Norbert Ritter, University of Hamburg, Germany
Rizos Sakellariou, The University of Manchester, UK
Iman Saleh, Intel, USA
Benjamin Satzger, Microsoft, USA
Upendra Sharma, IBM, USA
Jun Shen, University of Wollongong, USA
Michael Sheng, Macquarie University
Yasushi Shinjo, University of Tsukuba, Japan
Marcio Silva, IBM, USA
Ignacio Silva-Lepe, IBM, USA
Aleksander Slominski, IBM
Evgenia Smirni, College of William and Mary, USA
Craig Stewart, Indiana University, USA
Toyotaro Suzumura, IBM, USA
Hassan Takabi, University of North Texas, USA
Ladan Tahvildari, University of Waterloo, Canada
Yuzhe Tang, Syracuse University, USA
Douglas Thain, University of Notre Dame, USA
Luis Vaquero, University of Bristol, UK
Gregor von Laszewski, Indiana University Bloomington, USA
Chengwei Wang, AT&T Labs Research, USA
Liqiang Wang, University of Central Florida, USA
Rich Wolski, University of California Santa Barbara, USA
Raymond Wong, The University of New South Wales, Australia
Yuni Xia, IUPUI, USA
Cheng-Zhong Xu, Wayne State University, USA
I-Ling Yen, University of Texas Dallas, USA
Qi Yu, Rochester Institute of Technology, USA
Ming Zhao, Arizona State University, USA
Nianjun Zhou, IBM T.J. Watson Research, USA
Xiaobo Zhou, University of Colorado, Colorado Springs, USA
Wolf Zimmermann, Martin Luther University Halle-Wittenberg, Germany

SERVICES Congress General Chair

Stephen S. Yau, Arizona State University, USA

Steering Committee

Elisa Bertino, Purdue University, USA
Carl K. Chang, Iowa State University, USA (Chair)
Rong N. Chang, IBM, USA
Peter Chen, Carnegie Mellon University, USA
Ernesto Damiani, University of Milan, Italy
Ian Foster, University of Chicago, USA
Dennis Gannon, Indiana University, USA
Michael Goul, Arizona State University, USA
Frank Leymann, University of Stuttgart, Germany
Hong Mei, Beijing Institute of Technology, China
Stephen S. Yau, Arizona State University, USA

Finance Chair

Shiyong Lu, Wayne State University, USA

Publication Chair

Katsunori Oyama, Nihon University, Japan

Publicity Team

Patrick C. K. Hung, University of Ontario Institiute of Technology, Canada
Eleanna Kafeza, Zayed University, UAE
Hamad Binsalleeh, Al-Imam Muhammad Ibn Saud Islamic University, Saudi Arabia
Jorge Roa, National Technological University, Santa Fe Regional Faculty, Argentina
Marcelo Fantinato, University of Sao Paulo, Brazil
Young Yoon, Hongik University, Korea
Radha Krishna Pisipati, Infosys, India
Uwe Breitenbücher, University of Stuttgart, Germany
Andrei V. Kopylov, Tula State University, Russia
Matogoro Jabera, University of Dodoma, Tanzania
Mohammad Aazam, Carnegie Mellon University, Qatar
Bhekisipho Twala, University of South Africa, South Africa
Christopher Chan, Ryerson University, Canada (Web Master)
Aniqa Wakil, University of Ontario Institiute of Technology, Canada (Assistant)

About the Technical Committee on Services Computing

IEEE Computer Society’s Technical Committee on Services Computing (TCSVC) is a multi-disciplinary group whose purpose is to advance and coordinate work in the field of Services Computing carried out throughout the IEEE in scientific, engineering, standard, literary and educational areas.

Services Computing has become a cross-discipline that covers the science and technology of bridging the gap between Business Services and IT Services. The underlying technology suite includes Web services and service-oriented architecture (SOA), cloud computing, business consulting methodology and utilities, business process modeling, transformation and integration. This scope of Services Computing covers the whole lifecycle of services innovation research that includes business componentization, services modeling, services creation, services realization, services annotation, services deployment, services discovery, services composition, services delivery, service-to-service collaboration, services monitoring, services optimization, as well as services management. The goal of Services Computing is to enable IT services and computing technology to perform business services more efficiently and effectively.

Contact Information

If you have any questions or queries on IEEE CLOUD 2018, please send email to: ieeecs DOT cloud AT gmail DOT com.