Plenary talks<\/h2>\n\n\n\n
The following plenary talks were held at MATHMOD 2018<\/em><\/p>\n\n\n\n Speaker<\/em>: Prof. Dr. Stefan Nickel<\/strong>, Karlsruhe Institute of Technology, Germany<\/p>\n\n\n\n \nOperations Researchers support Supply Chain Management and Supply Chain \nPlanning by developing adequate mathematical optimization models and \nproviding suitable solution procedures. In this talk we discuss what \nadequate could mean. Therefore, we may ask several questions concerning \n\u201coptimality\u201d in Supply Chain Planning under causal and temporal \nuncertainty: What is an optimal solution? When is it optimal? For how \nlong is it optimal? How should the design of a supply chain be changed \nwhen conditions and requirements ask for new structures? In particular, \nwe discuss new approaches to Supply Chain Planning in order to give an \noptimal transformation from an initial solution over multiple periods to\n a desired one rather than just specifying an optimal snapshot solution.\n Time and uncertainty are the factors triggering the whole discussion. \nIn particular, several flaws often found when dealing with these factors\n result in so-called \u201ctime traps\u201d. We look at the impact of recent \ntechnological developments like the Internet of Things or Industry 4.0 \non operational supply chain planning and control, and we show how online\n optimization can help to cope with real-time challenges. Moreover, we \nre-coin the concept of risk in the realm of Supply Chain Planning. Here \nthe question is how to measure supply chain specific risks and how to \nincorporate them \u201cadequately\u201d into mathematical models.\n<\/p>\n\n\n\n \nAbout the speaker<\/strong>\n<\/p>\n\n\n\n Stefan Nickel is a full professor at the Karlsruhe Institute of Technology \u2013 KIT (Germany) and one of the directors of the Institute of Operations Research. He obtained his PhD in mathematics at the Technical University of Kaiserslautern (Germany) in 1995. From 1995 to 2003 he was assistant and associate professor in mathematics at the Technical University of Kaiserslautern. After a full professor position at the Saarland University (Chair of Operations Research and Logistics) from 2003 to 2009, he joined the Karlsruhe Institute of Technology as the Chair in Discrete Optimization and Logistics in April 2009. Since 2014 he is the dean of the Department of Economics and Management at KIT. Stefan Nickel was also member of the scientific advisory board as well as of the management board of the Fraunhofer Institute for Applied Mathematics (ITWM) in Kaiserslautern from 2004-2016. Since 2011 he additionally holds the positions of one of the directors of the Karlsruhe Service Research Institute (KSRI) and of the Research Center for Computer Science (FZI). From 2006-2015 he was editor-in-chief of Computers & Operations Research and is still consulting editor. Moreover, he is editor-in-chief of Operations Research for Health Care. He has coordinated the Health Care working group within the German OR society (GOR) and has been the president of GOR from 2013-2014. Stefan Nickel has authored or co-authored 5 books as well as more than 100 scientific articles in his research areas Locational Analysis, Supply Chain Management, Health Care Logistics, and Online Optimization. He has been awarded the EURO prize for the best EJOR review paper (2012) and the Elsevier prize for the EJOR top cited article 2007-2011. In addition he conducted several industry projects with well-known companies such as BASF, Lufthansa, Miele, or SAP. <\/p>\n\n\n\n Speaker<\/em>: Prof. Sofia Olhede<\/strong>, University College London, United Kingdom<\/p>\n\n\n\n \nLarge networks have become a ubiquitous form of data. Their analysis is \ncomplicated by the fact that intrinsic permutation invariance needs to \nbe built in our understanding of these objects, as well as accounting \nfor computational tractability. Much attention has focused on simple \nmodels of such data, but this talk will cover recent innovations that \ncharacterise network structure, focussing on identifying scales of \nimportance and significant forms of network heterogeneity.\n<\/p>\n\n\n\n \nAbout the speaker<\/strong>\n<\/p>\n\n\n\n \n\n Sofia is a professor of Statistics at University College London since \nOctober of 2007. She also holds an honorary chair in the UCL computer \nscience department. Having obtained her MSci in Mathematics at Imperial \nCollege London in August of 2000, she was awarded the PhD in Mathematics\n in January of 2003. Her thesis was: Analysis via Time, Frequency and \nScale of Nonstationary Signals, and her advisor was Professor Andrew \nWalden. In 2002 she became a Lecturer in Statistics in the Mathematics \nDepartment at Imperial College, and was promoted to Senior Lecturer in \n2006. She is currently associate editor for J. Royal Statistical Society\n (b) and IEEE Trans on Signal Processing. She is the Royal Statistical \nSociety Isaac Newton Institute correspondent and a member of the ICMS \nprogramme committee. Her research interests are non-stationary and \nnon-linear time series and random fields, time-scale and time-frequency \ninference, multiscale processing and compressed sensing with \napplications in finance, oceanography and biomedical signal processing.\n<\/p>\n\n\n\n Speaker<\/em>: Prof. Mahdi Tavakoli, PhD<\/strong>, University of Alberta, Canada<\/p>\n\n\n\n \nMinimally invasive percutaneous needle insertion has gained increasing \nattention over the past decade and has become part of routine clinical \npractice for medical procedures such as tissue sampling, pinpoint drug \ndelivery, permanent brachytherapy, radiofrequency and microwave ablation\n of liver, lung, and kidney, and regional anaesthesia. The success of \nthese procedures heavily relies on accurate guidance of the needle \ntoward an inner body target location. In practice, during needle \ninsertion, needle-tissue interaction causes the needle to deviate from \nits desired trajectory and, therefore, deflect away from the path \ntowards the target location. Inaccurate needle steering can compromise \nthe effectiveness of the treatment and lead to significant side effects \nfor the patient. This talk provides an overview of various needle-tissue\n interaction models that have been developed in order to predict needle \ndeflection as it is inserted into soft tissue and allow for \nintra-operative correction of the needle tip trajectory through feedback\n control.\n<\/p>\n\n\n\n \nAbout the speaker<\/strong>\n<\/p>\n\n\n\n \n\n Mahdi Tavakoli is a Professor in the Department of Electrical and \nComputer Engineering, University of Alberta, Canada. He received his BSc\n and MSc degrees in Electrical Engineering from Ferdowsi University and \nK.N. Toosi University, Iran, in 1996 and 1999, respectively. He received\n his PhD degree in Electrical and Computer Engineering from the \nUniversity of Western Ontario, Canada, in 2005. In 2006, he was a \npost-doctoral researcher at Canadian Surgical Technologies and Advanced \nRobotics (CSTAR), Canada. In 2007-2008, he was an NSERC Post-Doctoral \nFellow at Harvard University, USA. Dr. Tavakoli\u2019s research interests \nbroadly involve the areas of robotics and systems control. Specifically,\n his research focuses on haptics and teleoperation control, medical \nrobotics, and image-guided surgery. Dr. Tavakoli is the lead author of \nHaptics for Teleoperated Surgical Robotic Systems (World Scientific, \n2008).\n<\/p>\n\n\n\n Speaker<\/em>: Prof. Dr. G\u00fcnther Bl\u00f6schl<\/strong>, TU Wien, Austria<\/p>\n\n\n\n \nModelling the flow of rivers in the landscape is needed for \nenvironmental planning, such as flood risk design, and real time \ncontrol, such as operation of hydropower plants. Unlike many other \nsystems in engineering, the water flow in the landscape is the compound \nresult of both natural and anthropogenic system components. Natural \ncomponents, such as the flow in the subsurface, are difficult to specify\n due to the vast heterogeneity of the Earth system. Anthropogenic \ncomponents are difficult to capture due to multiple human actions (e.g. \noperation of hydraulic gates) which are not usually known at the scale \nof river basins. These issues make the modelling of river flow a \u2018messy\u2019\n problem. This presentation will outline advances in framing such \nsystems in terms of tradeoffs between model complexity and \nidentifiability, given the information available in any one case. The \npresentation will also present strategies to parameter estimation of \nhigh resolution, hydrological models. The role of soft information in \nconstraining \u2018messy\u2019 problems will be highlighted. The concepts will be \nillustrated by examples from real time flood forecasting for the Danube \nand tributaries, and flood risk estimation for Austria.\n<\/p>\n\n\n\n \nAbout the speaker<\/strong>\n<\/p>\n\n\n\n \n\n G\u00fcnter Bl\u00f6schl is a Professor of Hydrology and Water Management at the \nVienna University of Technology where he is heading the Institute of \nHydraulic Engineering and Water Resources Management. His research \ninterests revolve around understanding hydrological processes and \npredicting hydrological risk. He is a strong advocate of bridging the \ngap between fundamental process understanding and the practice of water \nresources management. He designed an online system of flood risk mapping\n in Austria and the flood forecasting system for the Upper Danube River.\n The German flood design guidelines are based on his concept of Flood \nFrequency Hydrology. Recently he was awarded an ERC Advanced Grand on \nRiver Flood Changes. The fruits of his research (over 300 articles and \nabout 20000 Google Scholar citations) have been recognised by his \nreceipt of numerous honours including the Horton Medal from the American\n Geophysical Union. He is an Editor of Water Resources Research and \nother journals, Corresponding Member of the Austrian Academy of Sciences\n and Member of the German Academy of Science and Engineering. He chairs \nthe Scientific Advisory Council of the German Federal Institute of \nHydrology, was Past President of the European Geosciences Union, and is \nthe incoming President of the International Association of Hydrological \nSciences.\n<\/p>\n","protected":false},"excerpt":{"rendered":" Program The program of the conference can be found at https:\/\/ifac.papercept.net\/conferences\/conferences\/MAMO18\/program\/. Plenary talks The following plenary talks were held at MATHMOD 2018 The Day After Optimal: Mathematical Modelling for Modern Logistics Speaker: Prof. Dr. Stefan Nickel, Karlsruhe Institute of Technology, Germany Operations Researchers support Supply Chain Management and Supply Chain Planning by developing adequate mathematical … Continue reading MATHMOD 2018 Program<\/span> The Day After Optimal: Mathematical Modelling for Modern Logistics<\/h3>\n\n\n\n
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<\/figure><\/div>\n\n\n\nBig Network Data<\/h3>\n\n\n\n
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<\/figure><\/div>\n\n\n\nNeedle-Tissue Interaction Modeling in Needle-Based Medical Interventions<\/h3>\n\n\n\n
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<\/figure><\/div>\n\n\n\nFraming, Identification and Simulation of \u2018Messy\u2019 Hydrological Systems<\/h3>\n\n\n\n
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