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Prof. Kuan-Chou Chen
Purdue University Northwest, USA
Kuan-Chou Chen is the Associate Dean for Graduate Program and Research, Thomas M. McDermott Sr. Endowed Chair, Professor in Economic Development, Professor of Management Information Systems. He was the Department Head of Information Systems, Finance, and Business Analytics (2005-2016), as well as Interim Department Head of Department of Graduate Studies in Education (2013-2014) at Purdue University Northwest. He received his Ph.D. from Michigan State University and his MBA from National Cheng-Kung University in Taiwan. He specialized in computer programming, system simulation, project management, decision support systems, data mining, system analysis and design, e-business strategy and application, supply chain management, network design and security, knowledge management, and information economy. Professor Chen has more than 90 scholarly publications, most in peer-reviewed journals. He is an active participant in several professional journals and serves on three paper reviewer boards. Currently he is an Editor-in-Chief of International Journal of e-Education, e-Business, e-Management and e-Learning. His productivity and scholarship have been recognized by his colleagues, being nominated three years in a row for an ¡°Outstanding Scholar Award.¡± He also the recipient of Teacher of the Year Award (Purdue University Northwest, 2005).
Speech Title: Business Intelligence Technology Trends: From Internet-of-Things to Artificial Intelligence
Abstract: This presentation explores several emerging technology trends that are likely to have major impacts on the development and use of business intelligence (BI) applications. The business environment is constantly changing, and the business model is becoming more and more complex. Organizations, private and public, are under pressures that force them to respond quickly to changing conditions and to be innovative in the way they operate. Such activities require organizations to be agile and to make frequent and quick strategic, tactical, and operational decisions, some of which are very complex. Business Intelligence is all about making better decisions, in a quicker fashion to respond to an ever-changing business environment where competition grows more and fierce all the time. In recent years, businesses across the world are rapidly leveraging the Internet-of-Things (IoT) to create new networks of products and services, that are opening up new business opportunities and creating new business models. The resulting transformation is steering in a new era of how companies run their operations and engage with customers. IoT and evolving Artificial Intelligence will continue to have dramatic impacts on society. Artificial Intelligence has the potential to free people of unnecessary labor and decision making, allowing them to pursue more constructive uses of their time. As a result, for companies to adopt the full potential of IoT enablement, they need to combine IoT with rapidly-advancing Artificial Intelligence (AI) technologies, which enable smart devices to simulate intelligent behavior and make well informed decisions with little or no human intervention.
University of Alberta, Canada
Dr. Yongsheng Ma joined the faculty of
engineering, University of Alberta in 2007, and has been a
full professor since 2013. Dr. Ma is a member of ASEE, SME,
SPE and an Alberta registered Professional Engineer. He
teaches Capstone Design Projects, Engineering Informatics,
Engineering Economics and Manufacturing Processes. His main
research areas include e-Manufacturing, feature-based design
and manufacturing modeling, CADCAM, ERP process modeling and
product lifecycle management. Dr. Ma received his B.Eng.
from Tsinghua University, Beijing (1986), both M.Sc. (1990)
and Ph.D. (1994) from UMIST, UK. In 2000-2007, he was a
faculty with Nanyang Technological University, Singapore.
Dr. Ma publishes actively in top international journals and
conferences, especially in the field of Semantic Modeling
for Product and Process Engineering. Dr. Ma had been an
associate editor of IEEE Transaction of Automation Science
and Engineering (2009-2013). Since 2012, he has served as an
editor of Advanced Engineering Informatics. Due to his
fruitful collaboration with a Canadian manufacturer, in
2012, he won the prestigious ASTech award sponsored by
Alberta Science and Technology Leadership Foundation. Dr. Ma
started his career as a polytechnic lecturer in Singapore
(1993); and then a senior research fellow and group manager
(1996-2000) at Singapore Institute of Manufacturing
Technology. Dr. Ma also served in department selection
committee (2012), faculty nominating (2009-2011) and
evaluation committees (2011). Dr. Ma had been a member of
General Faculty Council (GFC) and a university senator from
July, 2013 to July, 2016.
Speech Title: Big Data Age Deep Informatics in Education, Commerce, Business, Engineering, and Manufacturing
Abstract: Networked information systems has enabled the globalization in the past thirty years and generated huge momentum for human societies across sectors of the global economy. The opportunity for a new revolutionary wave of deep informatics engineering has emerged with tremendopus impacts to every aspect of human life. This speech reviews the substantial platform technologies under the development trends from in the current big data age. Examples of the emerging products, modes of business, accessible mass information technologies, and new industrial competition are to be examined. Then followed are new challenges occurred with such trends for knowledge professionals, engineers, and employees. Deep reasoning, instant accessibility, connectivity, multi-disciplinary integration, interoperability, knowledge abstraction and unification, as well as plug-and-play modules of business are highlighted. From there, the speaker proposed unified feature modeling approach for deep informatics development and implementation.
Purdue University Northwest, USA
Carin Chuang is a Professor of Management Information Systems in the College of Business at Purdue University Northwest. Carin holds a Ph.D. in Computer Information Systems from Purdue University and two Master degrees from Michigan State University with an emphasis on hospitality information systems and urban studies. Carin previously taught ten years in the Computer and Information Technology Department at Purdue University Northwest --- Westville campus and was awarded University wide 2014-2015 Outstanding Teacher Award.
Carin teaches undergraduate and graduate courses in Systems Analysis and Design, Project Management, E-Business Strategy, Principles of Information Systems, Database Management Analysis and Design, Advanced Spreadsheet Applications, and Internet Programming. Dr. Chuang has more than 50 scholarly publications. Dr. Chuang¡¯s research interests focus on enterprise resource planning (ERP) implementation and evaluation, system dynamics and simulation, business information system analysis, project management, e-business strategy, and experiential learning. Dr. Chuang was awarded four Scholarship of Engagement (SOE) Grants from the Indiana Campus Compact to design service-learning courses and community engagement projects.
to joining academia, Dr. Chuang had 13 years industry
experience and worked in well-known Fortune 500 companies
including EDS (Electronic Data Systems), Caterpillar Inc.
and Perkins+Will Global.
Speech Title: The Integrating of Mobile Technologies to Enhance Teaching and Learning Opportunities
Abstract: Advancements in mobile technology are rapidly widening the scope of learning in areas outside of formal education. The advanced mobile technology offers a new generation of learning with great potential for people of all ages anywhere and anytime. In recent years, universities have made significant investments in technology systems to support various aspects of students¡¯ studies and learning. At one hand, the investments in technology are to attract or ¡°pull¡± students into the online environment of the university. On the other hand, students also have come increasingly equipped with smart mobile devices which allow educators to ¡°push¡± information to students for quick and easy communication and information sharing, so that each adds value to and complements the other. This talk will identify the mobile technologies that enhance the new opportunities for teaching and learning, examine the educational benefits and implementation issues in mobile learning, identify the guidelines for implementing effective mobile learning, and discuss the future of teaching and learning with mobile technologies.
Athabasca University, Canada
Dr. Qing Tan is an associate professor
in School of Computing and Information Systems at Athabasca
University, Canada. He was born and raised in Chengdu. He
left his beloved hometown in 1977 to study Aviation
Automation at the Northwest Polytechnic University. He
earned his PhD in Cybernetics Engineering for Robotics from
the Norwegian Institute of Technology (NTNU - Norwegian
University of Science and Technology) in 1993. As a foreign
research fellow, he did the
research on Telepresence Robot for the human acts simulation
program at the Japan Atomic Energy Research Institute in
1994. He did his post-doctorial fellowship at University of
Alberta in 1996. He joined Athabasca University in 2007 with
extensive IT industrial working experiences in Canada. Dr.
Tan is teaching and developing both undergraduate and
graduate courses including Mobile Computing, Computer
Networking, E-Commerce, Enterprise Modeling, Cloud
Computing, and Big Data Analytics. Dr. Tan¡¯s research
interests and engagements include Location-Based
Technologies, Mobile Computing, Adaptive Mobile Learning,
Telepresence Robot, Cloud Computing, Internet of Things, Big
Data Analytics, Cyber-Physical Systems, and Computer Network
and Cyber Security. Dr. Tan received several Canadian
national and provincial research grants. He has published
many research papers on International journals and
conferences. He also sits on many international journal
editor boards and various conference committees.
Speech Title: Swarm Intelligence in the World of Business: Opportunities and Challenges
Abstract: In the last decades, newly-developed machine learning and data mining techniques have been developed and applied to various disciplines to build intelligent systems. Swarm Intelligence (SI) is a relatively new paradigm being applied in different applications in order to improve the control and management of large numbers of interacting entities such as sensor networks, communication, computer networks, space sciences, business failure prediction, and more. Attempts to take advantage of this paradigm and mimic the behavior of animal swarms often lead to many different implementations of SI. The concept of SI is borrowed from nature itself and utilizes sufficiency and autonomy which rely on the direct or indirect actions among simple individual agents. SI is becoming increasingly popular and scientists are now beginning to realize its potential for many problems in real world business applications such as calculation of credit risk in banking, factory scheduling, and telecommunication routing. Over the last 20 years, the researchers have developed rigorous mathematical models to describe different phenomenon and they are now applying them to business. Their research has already helped several companies develop more efficient ways to schedule factory equipment, divide tasks among workers, organize people, and even plot strategy. The concept of SI has been successfully used in transportation and logistics that involves complex movement of goods along different routes. SI can also help courier and parcel companies to route the cargo or documents more efficiently by optimizing resources. This talk formulates strategic or foundational frameworks from which to build a successful theory of SI and which provide guidelines for how to implement SI concepts in Business. In other words, this talk is devoted to illustrate how swarm intelligence can mimic the social insects can be applied to business operations to increase overall efficiency. Opportunities, problems, and challenges of adopting SI in todays¡¯ business are presented.
Assoc. Prof. Craig L. Israelsen
Utah Valley University, USA
Craig L. Israelsen,
Ph.D. teaches in the Personal Financial Planning program at
Utah Valley University (USA). Primary among his research
interests is the analysis of mutual funds and the design of
investment portfolios. He writes monthly for Financial
Planning Magazine. His research has also been published in
the Journal of Financial Planning, Journal of Asset
Management (U.K.), Journal of Performance Measurement, Asia
Financial Planning Journal (Singapore), Journal of Family
and Economic Issues, and Financial Counseling and Planning.
Speech Title: Building a Personal Investment Portfolio: Moving from the Efficient to the Effective Frontier
Abstract: In the early 1950¡¯s Dr. Harry Markowitz¡¯s research on mean-variance optimization blazed a trail toward what is now referred to as Modern Portfolio Theory. His efficient frontier produced a variety of insights, not the least of which is the value of portfolio diversification. In one version of his classic graph, various combinations of a simple two-asset portfolio are demonstrated¡ªthe typical pairing being US cash and US large cap stock. The characteristic upward sloping graph is illustrative of the risk/return tradeoff when moving from a cash-based portfolio to an increasingly stock-based portfolio. It¡¯s no longer 1950. We have dozens and dozens of asset classes to choose from¡ªfar more than were available to Dr. Markowitz in the 1950s. In this paper I will introduce a new version of the efficient frontier that I call the ¡°effective frontier¡±. This effective frontier can guide investors as they build their own investment portfolios that have superior risk/return characteristics compared to a 100% US stock portfolio.
Assoc. Prof. Ashraf Darwish
Ashraf Darwish is Associate Professor of Computer Science and Acting the Head of Mathematics and Computer Science Department at Faculty of Science, Helwan University, Egypt. He received the PhD degree in computer science from Saint Petersburg State University, Russian Federation in 2006. He received a BS.C and MS.C. in Mathematics from Faculty of Science, Tanta University, Egypt. He keeps in touch with his mathematical background through his research and his research interests include information security, data and web mining, intelligent computing, image processing ( in particular image retrieval, medical imaging), modeling and simulation, computational intelligence, sensor networks, theoretical foundations of computer science, cloud computing, and internet of things. Dr. Darwish is an editor for some prestigious international journals and member of many computing associations such as IEEE, Egyptian Mathematical Society (EMS). He is a board member of the Russian-Egyptian Association for graduates, quality assurance and accreditation project (QAAP) and Machine Intelligence Research Lab (MIR Lab) USA.
Dr. Darwish was invited as reviewer, invited speaker, organizer, and session chair to many international conferences and journals. He has worked in a wide variety of academic organizations and supervises masters and PhD theses in different areas of computer science. He speaks four languages on a daily basis. Dr. Darwish has a wealth of academic experience and has authored multiple publications which include papers in international journals and conference proceedings. His publications have appeared in international journals, conferences and publishing houses such as IEEE, Springer and Science Direct (Elsevier). Dr. Darwish is editor for 16 prestigious international journals and member of many computing associations. Currently, Dr Darwish is the vice chair of the Scientific Research Group in Egypt (SRGE). In Computer Science and Information Technology. Dr. Darwish is the Ex-Cultural and Educational Attach¨¦, Embassy of Egypt to Kazakhstan and Central Asia from 2011 to 2014.