Keynote Speakers


Keynote Speakers 



Prof. Houssain Kettani
Florida Polytechnic University, USA 


Biography: Dr. Houssain Kettani received the Bachelor's degree in electrical and electronic engineering from Eastern Mediterranean University, Famagusta, North Cyprus, in 1998, and Master’s and doctorate degrees both in electrical engineering from the University of Wisconsin, Madison, Wisconsin, USA, in 2000 and 2002, respectively. He joined as faculty member the department of electrical and computer engineering at the University of South Alabama, Mobile, Alabama, USA in 2002-2003, then department of computer science at Jackson State University, Jackson, Mississippi, USA in 2003-2007, and department electrical and computer engineering and computer science at Polytechnic University, San Juan, Puerto Rico, USA in 2007-2012 where he also was director of partnership development office. He joined Fort Hays State University, Hays, Kansas, USA in 2012, and is currently professor and director of computer science and information systems engineering. Dr. Kettani has served as Staff Research Assistant at Los Alamos National Laboratory, Los Alamos, New Mexico, USA in summer of 2000, Visiting Research Professor at Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA in summers of 2005 to 2011, Visiting Research Professor at the Arctic Region Supercomputing Center at the University of Alaska, Fairbanks, Alaska, USA in summer of 2008, and Visiting Professor at the Joint Institute for Computational Sciences at the University of Tennessee, Knoxville, Tennessee, USA in summer of 2010. Dr. Kettani’s research interests include computational science and engineering, high performance computing algorithms, information retrieval, network traffic characterization, number theory, robust control and optimization, and Muslim population studies. He presented his research in over sixty refereed conference and journal publications and his work received over four hundred citations by researchers all over the world. He chaired over hundred international conferences throughout the world and successfully secured external funding of more than a million dollars for research and education from US federal agencies such as NSF, DOE, DOD and NRC.

Title of Speech: Towards Exascale Computing 

Abstract: In 1985, the fastest computer in the world reached 1 Gigaflop/s, or one billion (10^9) calculation per second. By 1996, the speed reached 1 TeraFlop/s or one trillion (10^12), then 1 PetaFlop/s or one quadrillion (10^15) by 2008. In 2016, the fastest computer in the world performs 100 PetaFlop/s and many hand-held devices including smart phones are faster than the fastest supercomputer in the 1980s. The 1 ExaFlop/s mark, or one quintillion (10^18) is expected to be reached in 2020. Currently, the fastest supercomputer has close to eleven million cores and consumes over 15 MW (Mega or million Watts). It is like 150,000 light bulbs of 100W on at the same time. It is more than a million times faster than a personal computer. So, one second of computing using the fastest supercomputer is equivalent to almost two weeks using a PC, while one hour is equivalent to over a century on a PC! These fast computers allowed humans to solve problems that were impossible to solve few years before, including weather (earth and space) forecast, gene permutations, Hurricane tracking, asteroids/comets tracking, spying, etc. However, such humongous machines present huge complexity in operation, maintenance, protection, etc. This remains an active area of interdisciplinary research for continuous improvement in speed, efficiency, hardware and software development as well as algorithms design and analysis to advance the state of the art of parallel computing.  



Prof. Chen-Huei Chou
College of Charleston, SC, USA 


Biography: Chen-Huei Chou received the B.S. in Information and Computer Engineering from Chung Yuan Christian University, Taiwan, the M.S. in Computer Science and Information Engineering from National Cheng Kung University, Taiwan, the M.B.A. from the University of Illinois at Chicago, Chicago, Illinois, USA, and the Ph.D. in Management Information Systems from the University of Wisconsin-Milwaukee, Wisconsin, USA.
He is an Associate Professor of Information Management and Decision Sciences in the School of Business at the College of Charleston, SC, U.S.A. His research has been published in MIS journals and major conference proceedings, including MIS Quarterly, Journal of Association for Information Systems, Decision Support Systems, IEEE Transactions on Systems, Man, and Cybernetics, Computers in Human Behavior, Internet Research, and Journal of Information Systems and e-Business Management. His areas of interests include web design issues in disaster management, ontology development, Internet abuse in the workplace, text mining, data mining, knowledge management, and behavioral studies related to the use of IT.  

Title of Speech: Effective and Efficient Internet Abuse Detector  

Abstract: As the use of the Internet in organizations continues to grow, so does Internet abuse in the workplace. Internet abuse activities by employees—such as online chatting, gaming, investing, shopping, illegal downloading, pornography, and cybersex—and online crimes are inflicting severe costs to organizations in terms of productivity losses, resource wasting, security risks, and legal liabilities. Organizations have started to fight back via Internet usage policies, management training, and monitoring. Internet filtering software products are finding an increasing number of adoptions in organizations. These products mainly rely on blacklists, whitelists, and keyword/profile matching. In this talk, I would like to share a text mining approach to Internet abuse detection. I have empirically compared a variety of term weighting, feature selection, and classification techniques for Internet abuse detection in the workplace of software programmers. The experimental results are very promising; they demonstrate that the text mining approach would effectively complement the existing Internet filtering techniques. In this speech, I would like to share my knowledge and experience in conducting text mining approach for detecting Internet abuse in the workplace. 




Prof. Anu Gokhale
Illinois State University, USA 


Biography: Dr. Anu A. Gokhale has completed twenty years of university teaching and is currently a professor and coordinator of the computer systems technology program at Illinois State University. Originally from India, she has a master’s degree in physics—electronics from the College of William & Mary, and a doctorate from Iowa State University. Dr. Gokhale presents and publishes her peer-reviewed research, and pursues multi-year projects funded by agencies like the US Department of Education, US Department of State, and National Science Foundation. Dr. Gokhale recently authored a second edition of her book Introduction to Telecommunications, which also has an international edition in Chinese. In recognition of her work over several years, she was honored with the 2011 University Outstanding Researcher Award. Dr. Gokhale has been invited to speak at various conferences; more recently, she was keynote speaker at the IC4E 2011 in Mumbai and ICETC 2010 in Shanghai. She consults for businesses and industries and has delivered multiple workshops and training seminars. Dr. Gokhale is an active volunteer in IEEE (Institute of Electrical and Electronics Engineers) having served in various roles like Secretary of Central IL Section, R4 Student Activities Chair, R4 Women in Engineering Coordinator, R4 Educational Activities Chair, Conference Chair of International Electro / Information Technology 2010 Conference, and member of the Educational Activities Board, and was honored with the IEEE Third Millennium Medal. 

Title of Speech: Engineering Solutions for Managing Enterprise Information Systems 

Abstract: The business sector is expected to increase spending on management of information systems geared to focus on the analysis of the data and extract knowledge. Enterprise data environments include both structured and unstructured information characterized by high volume, high speed and huge variety. There exists tremendous potential to glean key insights for business advantage from the vast data that is available today and new data that is being constantly generated. Algorithms used in analyzing big data vary significantly based on the problem of study and its goals and objectives. The talk will address the issues and processes associated with analyzing big data in business information systems, applicable algorithms to enhance functionality and predictive analytics, and discuss how data-driven decisions support product/service innovation. 



Plenary Speaker

Prof. Driss Benhaddou
University of Houston, Texas, USA 


Biography: Dr. Benhaddou is a Fulbright scholar and an Associate Professor with the University of Houston (UH), where he is actively involved in optical networking, wireless sensor networks, and smart system development. In particular he is developing research in the application of Wireless Sensor Networks (WSN) in distributed solar energy in smart grid and smart cities. Prior to joining UH, he was a senior technical staff member at Lambda Optical Systems Inc., where he played a key role in protocol development and systems integration activities. In particular, he led system test/integration activities for the Advanced Technology Demonstration Network (ATDNet) testbed project and worked closely with the Naval Research Laboratory (NRL) and the Laboratory for Telecommunication Sciences (LTS). During his earlier tenure at Sprint, he also implemented an extensive broadband testbed for vendor equipment certification and research/development activities. He holds two doctoral (Ph.D.) degrees, one in optoelectronics from the University of Montpellier II, France, and the second one from the University of Missouri in computer networks and telecommunications. In addition, he is spearheading the development of new state-of-the-art wireless and optical networking research laboratories within at the University of Houston ( and

Title of Speech:  Connected Smart Buildings as Building Block for Smart Cities

Abstract: More than 50% of the world populations live in urban areas and there is a need to make cities smart and efficient. Recent technical achievements in sensors and controls integrated with active systems can allow for the ability to control our built environment and tailor it to our preferences, while still maintaining optimal operation, energy conservation, sustainability and resiliency. With the use of Wireless Sensor Networks (WSN) our cities can move toward the concept of smart cities. A smart city behaves as a Cyber-Physical System (CPS) that deeply integrates sensing, computation, communication, and control. However, implementations of smart CPSs that are reliable and autonomous are facing many challenges from different perspectives as future CPSs are composed of heterogeneous systems. Developing buildings that have the capabilities to autonomously decide and act what to do with its environment will enable the development of smart cities concept. The presentation will talk about how Cyber-Physical System (CPS) concepts can be used to drive the implementation of autonomous building in smart city environments. This smart city will behave like a living organism in making its own decision for sustainable, healthy, and livable cities.  




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