INFORMATION OF PLENARY SPEAKERS:
The plenary speakers of ICMOR 2018 include (in alphabetic order):
Prof. DING Yi
Yi Ding is a Professor in the College of Electrical Engineering, Zhejiang University (ZJU), also a scholar of Thousand Talent Program for Young Outstanding Scientists of China.
Before he joined in ZJU, he was an Associate Professor (permanent position) in Technical University of Denmark (DTU), Denmark. He also held academic positions in University of Alberta, Canada and Nanyang Technological University, Singapore. He was also a Consultant as Energy Economist for Asian Development Bank in 2010.
He is Editorial Member of Applied Energy, International Journals of Electric Power System Research (EPSR) and Journal of Modern Power Systems and Clean Energy (MPCE), respectively. He is also a Guest Editor for the special sections of IEEE Trans. on Power Systems and IEEE Trans. on Industrial Electronics, respectively. He is the executive director of the Applied Energy UNiLAB (Smart Grid Market Mechanism, SGM2). Prof. Ding received his Ph.D and B.Eng from Nanyang Technological Univ. and Shanghai Jiaotong Univ., respectively.
His research areas include power system planning and reliability evaluation, smart grid and complex system risk assessment. He was a task leader of EU FP7 project “EcoGrid EU” – A Prototype for European Smart Grids for designing a real-time market for integrating distributed energy resources and small end-consumers for future power systems. Since he joined in ZJU, he has been the PI and Co-PI of three National Science Foundation of China (NSFC) projects and one National Key R&D Program focusing on smart grid and energy market. He has consulted for Development Research Center of the State Council (DRC) for planning future Chinese energy systems.
Title: Smart grids with renewable energy generation
Recently, the rapid growth of renewable generation poses significant challenges for power system secure and economic operations. Nowadays, the total installed capacities of wind and solar power generations in China both rank the 1st all around the world. But due to coal-fire dominated generation mix and transmission constraints, a large amount of wind and solar power was curtailed, which induced great economic loss. With the development of smart grid technologies, one possible approach to tackling these challenges is to aggregate the distributed flexible resources in demand side (e.g. flexible load, distributed generation and energy storage) to participate in the optimal operation of power gird. This talk will introduce a framework for smart grid with high renewable energy generation. Moreover, necessary policies and mechanisms to fulfill this vision are discussed in this presentation.
Prof. HORIGUCHI Masayuki
Masayuki Horiguchi is a Professor of department of Mathematics and Physics, Kanagawa University in Japan.
He studies on Markov Decision Processes and their applications. He is a manager of research group on dynamic programming and optimization models under uncertainty in operations research society of Japan. He is a member of an editorial committee of the journal of operations research society of Japan.
Title: Newton-Raphson iteration for uncertain Markov decision processes
We are concerned with Markov decision processes with unknown transition matrices. We estimate transition matrices by Interval Bayesian method. For a prior interval measure we have a posterior interval measure and then we have posterior intervals for each element in true transition matrix. In this paper, we give posterior intervals of elements of transition probability by solving two integral equations. we show those endpoints are solutions (zero points) of equations composed by beta and incomplete beta functions. We give Algorithms based on Newton-Raphson iteration. Also, we give numerical examples.
Prof. LEUS Roel
Roel Leus is a Professor of Operations Research at KU Leuven(the University of Leuven), Belgium.
He received his Ph.D. in Applied Economics (option Operations Management) from KU Leuven (the Uinviersity of Leuven), and was afterwards appointed as assistant professor and then professor at the same university.
His research areas include operations research and operations management, in particular sequencing and scheduling, project planning and scheduling, planning and scheduling under uncertainty, project management, project portfolio management, combinatorial optimization, and decision making under uncertainty. He has published over 50 papers in different journals, such as Omega-International Journal of Management Science, Operations Research Letters, Production and Operations Management, European Journal of Operational Research, Decision Support Systems, Journal of Scheduling, Discrete Applied Mathematics, Applied Mathematical Modelling, OR Spectrum, Journal of Optimization Theory and Applications, Annals of Operations Research, Journal of the Operational Research Society, Computers & Operations Research, Decision Sciences, Expert Systems with Applications, INFORMS Journal on Computing, International Journal of Operations and Production Management, Flexible Services and Manufacturing, Journal of Combinatorial Optimization, Journal of Heuristics, and so on. His h-index at Thomson Web of Science is currently 17 with total citations greater than 1300; the h-index on Google Scholar is 25 with total citations over 4000.
He is an Associate Editor of OR Spectrum since a number of years, and he is also a special issue editor for Journal of Scheduling.
Title: Scheduling under uncertainty: An overview of recent developments
Scheduling refers to making timing decisions for a set of activities to be executed, and usually also entails the allocation of scarce resources to those activities. A very diverse set of industrial processes may be modelled, such as jobs visiting machines in a workshop, airplanes using a runway at an airport, or construction activities performed by workers at a building site. In practice, a number of the key parameters of these decision-making processes may be uncertain, for instance the activities’ durations, or the exact number of workers available each day. In this talk, we will discuss different types of uncertainty that may arise in such settings, we will look into alternative ways to model these different types, and we will also give a survey of the solution methods that have been applied over the years to optimize the different models. We will see that there is a close connection between the choices made for modelling the uncertainty, and the optimization procedures that are applied for finding good solutions.
Prof. LI Yanfu
Dr. Yan-Fu Li is currently a full professor at the Department of Industrial Engineering (IE), Tsinghua University. He is the director of the Reliability & Risk Management Laboratory at IE department in Tsinghua University, also a scholar of Thousand Talent Program for Young Outstanding Scientists of China.
He received his B.Eng degree in Software Engineering from Wuhan University in 2005 and Ph.D in Industrial Engineering from National University of Singapore in 2010. He was a faculty member at Laboratory of Industrial Engineering at CentraleSupélec, France, from 2011 to 2016. In 2015, he obtained the Habilitation à diriger des Recherches (HDR) (Accreditation to Supervise Research) in France. In 2016, he obtained Qualification aux fonctions de professeurs des universités (Qualification on the function of university professor) in France.
His current research areas include RAMS2 (reliability, availability, maintainability, safety and security) assessment and optimization with the applications onto energy systems, transportation systems, computing systems, etc. He is the Principal Investigator (PI) of several government projects including one key project funded by National Natural Science Foundation of China, one project in National Key R&D Program of China, and the projects supported by EU and French funding bodies. He is also experienced in industrial research, the partners include EDF, ALSTOM, Southern China Grid, etc. Dr. Li has published more than 90 research papers, including more than 40 peer-reviewed international journal papers.
Dr. Li is currently an Associate Editor of IEEE Transactions on Reliability, a senior member of IEEE and a member of INFORMS. He is a member of the Executive Committee of the Reliability Chapter of Chinese Operations Research Society; Executive Committee of Industrial Engineering Chapter of Chinese Society of Optimization, Overall Planning and Economic Mathematics; Committee of Uncertainty Chapter of Chinese Artificial Intelligence Society.
Title: RAMS2 Optimization
In this fast changing world, reliability, availability, maintainability, safety and security (RAMS2) are becoming the fundamental attributes for the evaluation of any modern technological system’s capabilities to sustain its normal operation under the threads of random failures or malicious attacks. The demands from various industry sectors for the quantification of system RAMS2 date back to the early 20th century and steadily grow till our times. Furthermore, the search for optimal system design, operation, maintenance, protection and recovery strategies, which minimize expense and maintain RAMS2 at high levels, has become an increasingly relevant task since the 1960s. These tendencies render the system RAMS2 optimization an important topic in academic research and a necessary task in industrial applications. Consequently, a number of models and methods have been developed. Yet, new challenges emerge from the latest technological systems, such as the smart grids and high speed rails, mainly characterized by the complex and possibly intelligent behaviors of the components and the uncertain and dynamic operation conditions. This presentation will deliver some key research results in this direction made by the Reliability & Risk Management Laboratory (RRML) at IE-Tsinghua.
Prof. MALLICK Sushanta
Sushanta Mallick is a Professor of International Finance at the School of Business and Management, Queen Mary University of London, UK. Also, since January 2015, he has been the Co-editor-in-Chief of ‘Economic Modelling’ – a leading 34-year old scholarly journal published by Elsevier. He holds a PhD in economics from the University of Warwick, UK. Before joining Queen Mary in October 2006, he held positions at the Department of Economics, Loughborough University, UK [2003-2006]; Royal Institute of International Affairs (Chatham House), London, UK [2001-2003]; JPMorgan Chase (previously Chase Manhattan Bank) based in Hong Kong [1999-2001], and Institute for Social and Economic Change (with a year at Indian Statistical Institute), Bangalore, India [1991-1995] where he began his research career followed by a Commonwealth Scholarship to study for a Ph.D. in economics [1995-1998] at the University of Warwick, UK. In addition to publishing a book from his Ph.D. research (Ashgate Publishing, 1999), he has contributed articles to 13 edited volumes along with publishing widely in many international refereed journals. He has over 80 peer-reviewed journal articles published in the areas of international economics & finance and development. His academic work has been mainly focused on issues in macroeconomic policy, international finance and economic development. [See his published research at http://webspace.qmul.ac.uk/skmallick/] [Email: email@example.com]
Title: Is Inclusive Finance good for Banks? Cross-Country Evidence
The global financial crisis has emphasised the importance of identifying well-designed bank regulation that would work for promoting inclusive finance and bank performance. In this paper, we contribute to this ongoing policy debate by analyzing whether greater financial inclusion can help improve bank efficiency using an international sample of banks. We, first, document a strong positive association between financial inclusion and bank efficiency, and then show that this association is stronger in countries with limited restrictions on banking activities, less barriers on foreign bank entry, more capital regulation stringency, more official supervisory power, and stronger corporate governance through market-based monitoring of banks. Exploring plausible channels, we find that greater financial inclusion helps banks reduce return volatility and volatility of customer deposit-funding share. We also show that banks operating in less developed financial markets benefit more from inclusive financial development compared to banks in developed economies. The results are robust to an array of robustness tests, and have significant ramifications for contemporary regulatory reform debate.
Prof. YANG Jiaqin (Jack)
Jiaqin(Jack) Yang is a Professor in the Department of Management, Georgia College & State University, Milledgeville, USA.
Before he joined in Georgia College & State University in Milledgeville, he was an Associate Professor in University of North Dakota, Grand Forks, USA.
He has the professional membership in Academy of Management, Decision Science Institue, INFORMS(Originally ORSA+TIMS), Production and Operations Management Society (POMS), American Production and Inventory Control Society (APICS) and the Society for Advanced Management (SAM). He has published over 60 papers in different journals, such as European Journal of Operational Research, International Journal of Production Economics, Decision Sciences, Applied Economics, International Journal of Management Theory and Practices, Journal of International Technology and Information management, International Journal of Mobile Communications, etc.
He is the Editor-in-Chief for International Journal of Electronic Finance, and an Editorial Review Board Member for International Journal of Mobile Communications and Electronic Government, an International Journal. He is also a Guest Editor for Special Issue on: "Managing Innovative Distance Learning for Higher Education", International Journal of Management in Education.
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Associate Prof. ZHANG Zhiyong
Zhiyong Zhang is an Associate Professor in quantitative psychology at the University of Notre Dame (South Bend, USA). He received his Ph.D. in quantitative psychology in 2008 from the University of Virginia and a master in statistics from Renmin University of China in 2003.
Dr. Zhang’s research focuses on developing new methods and software for practical data analysis in education, psychology and business research. He has published more than 80 journal articles, book chapters and software packages. His research has been supported by many federal agencies and foundations such as Institute of Education Sciences, National Science Foundation, and National Institutes of Health.
Dr. Zhang is an elected member of the Society of Multivariate Experimental Psychology. He is now an Associate Editor of Multivariate Behavioral Research. He serves on the editorial board and a guest editor of Psychological Methods. More about Dr. Zhang can be found on his website http://nd.psychstat.org/.
Title: A Blessing or a Curse? An Overview of Non-normal Data and Missing Data
It has been well accepted that normal data are like unicorns, they are fantasies and have never been seen in practice. No matter how obsessive we are to collect complete data, missing values are hardly avoided. Both non-normal data and missing data have been viewed as a curse to data analysis since traditional methods have often been developed for complete and normal data. In this talk, I will first review the prevalence of non-normal data and missing data and discuss their influence on data analysis. Then, I will present recent methods we have developed to handle both non-normal and missing data. I will argue that non-normal and missing data offer unique opportunities for researchers and it is time not to trash them any more.