Prof. Panos M. PardalosUniversity of Florida, USA
Panos M. Pardalos serves as distinguished professor of industrial and systems engineering at the University of Florida. Additionally, he is the Paul and Heidi Brown Preeminent Professor of industrial and systems engineering. He is also an affiliated faculty member of the computer and information science Department, the Hellenic Studies Center, and the biomedical engineering program. He is also the director of the Center for Applied Optimization. Pardalos is a world leading expert in global and combinatorial optimization. His recent research interests include network design problems, optimization in telecommunications, e-commerce, data mining, biomedical applications, and massive computing.
Prof. Liz BaconUniversity of Greenwich, UK
Professor Liz Bacon BSc, PhD, CEng, CSci, CITP, FBCS, PFHEA, MACM is a Deputy Pro-Vice-Chancellor at the University of Greenwich in London, with a University wide remit leading the development of technology enhanced learning and pedagogic research. She was President of BCS, The Chartered Institute for IT, in the year 14-15 and is a past Chair of the BCS Academy of Computing, and the CPHC (Council of Professors and Heads of Computing) national committee. Liz is a Professor of Software Engineering with over a hundred publications and a Co-Director of the eCentre research group. She has been involved in several EU research projects, including being Principal Investigator and Project Coordinator for two EU FP7 projects in the recent past. She is an experienced systems designer and developer and her research interests include computing policy, smart systems, security and technology enhanced learning (TEL). Within TEL, she has applied her research in software engineering, artificial intelligence and security to a range of application areas such as crisis management and eHealth, focusing on: smart games-based learning environments; metacognition and learning strategies; adaptable, adaptive and personalised systems; and the use of social media in online learning, all supported by cloud technology. She also researches, publishes, and is a regular international speaker, on the supply and demand of e-skills to the IT industry. Liz is passionate about the development of her discipline and keen to inspire more people to choose computing as a career, particularly women.
Prof. Yanzhen QuWebster University, USA
Yanzhen Qu is currently a Professor of Computer Science and the Dean of the College of Computer Science and Technology at Colorado Technical University (CTU), USA. Over the course of his 20+ years in industry, he has served as a senior or executive manager of product R&D and IT in several multinational corporations. He was also the chief system architect and director of development for several of the world's first very large real-time commercial software systems. At Colorado Technical University, Dr. Qu has led his faculty to create several new degree programs, including cybersecurity and data science at both undergraduate and graduate levels, and has also supervised many doctoral students to conduct their research work effectively and to complete their dissertations on time. Just in recent five years he and his students have published several dozen scholarly papers, several of which have won top awards at various international conferences. He has also coached CTU's student teams to win two finalist and one 1st place awards at The USA's Annual National Security Innovation Competition from 2012 to 2014. As a senior member of IEEE, Dr. Qu has served as general, program, and session chair at various meetings, and has been invited as a keynote speaker at many IEEE, ACM, ASIS, and IFIP international conferences, symposiums, and workshops. He is also an editorial board member of several professional peer-reviewed CS and IT journals, and has been a visiting professor at over 30 international universities. Dr. Qu's broad research interests include internet of things, cyber security, affective computing, e-learning technologies, software engineering, cloud computing, mobile computing, artificial intelligence, data mining, machine learning, and big data analytics. He received his B.Eng. in Electronic Engineering from Anhui University, China, M. Eng. in Electrical Engineering from Chinese Academy of Sciences, China, and Ph.D. in Computer Science from Concordia University, Canada.
Prof. Jin WangValdosta State University, USA
Jin Wang is a Professor of Operations Research in the Department of Mathematics at Valdosta State University, USA. He received his Ph.D. degree from the School of Industrial Engineering at Purdue University in 1994. His research interests include Operations Research, Stochastic Modeling and Optimization, Supply Chain Management, Monte Carlo Simulation, Computational Finance, Portfolio Management, and Applied Probability and Statistics. Currently, he is working on Big Data and Data Mining fields. He has more than 28 years collegiate teaching experience in the field of quantitative methods and statistics at Purdue University, Florida State University, Auburn University, and Valdosta State University. Dr. Wang has been active in professional research activities. He has authored articles for publication in referred journals and conference proceedings. He has been active in INFORMS, IIE, and the Winter Simulation Conference and invited to give presentations, organize and chair sessions at national meetings. He has participated as a principal investigator in several research projects funded by federal and industrial agencies, including the National Science Foundation, General Motors, and the National Science Foundation of P.R. China. He was invited as a panel member at the National Science Foundation Workshop. Dr. Wang also served as a consultant for financial firms. His analytical Monte Carlo method using a multivariate mixture of normal distributions to simulate market data has made a great impact in education and the finance industry. This algorithm was selected as a graduate-level research project topic for many schools, such as, Columbia University Management Department, Carnegie Mellon University Economics and Finance Department, Tilburg University in Holland, Technische Universitaet Munich in Germany, Imperial College in London. This method was also implemented in many financial companies, such as, Zurcher Kantonal Bank, IRQ, Zurich Switzerland, Klosbachstrasse, Zurcher, Switzerland, Norsk Regnesentral in Norway, Cutler Group, L.P., Altis Partners (Jersey) Limited, Windham Capital Management, LLC..
Assoc. Prof. Jianping WangWebster University, USA
Dr. JiangPing Wang has a BA in Electrical Engineering from Chongqing University, Chongqing, China, a MS in Information Systems from the University of Leeds, Leeds, United Kingdom and a PhD in Engineering Management from the Missouri University of Science and Technology, Rolla, Missouri. Dr. Wang's areas of teaching include database design, database applications, data warehousing, web databases, database in web services, distributed application development, computer programming, operating systems and computer architecture. His areas of research include database management systems, decision support systems, business intelligence, e-commerce data processing, and software project management. Dr. Wang has been published in Web Enabled Online Analytical Processing for Intelligent Business Decision-Making and the proceedings of 10th Wuhan International Conference on E-Business.
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