Special Session


Data-Driven Multiple Criteria Decision Making



The 24th International Conference on Multiple Criteria Decision Making (MCDM 2017)


Conference dates: July 10th to 14th 2017

Abstract submission deadline: February 1st 2017


Ottawa, Canada




Richard Allmendinger

Alliance Manchester Business School, University of Manchester, UK


Jussi Hakanen

Faculty of Information Technology, University of Jyväskylä, Finland


Dmitry Podkopaev

Systems Research Institute, Polish Academy of Sciences, Poland


Karthik Sindhya

Faculty of Information Technology, University of Jyväskylä, Finland




Scope and call for abstracts

The emergence of advanced technologies and digital businesses has been changing our world and leading to a situation where physical assets are becoming less essential in business compared to non-physical assets. Data may become the most valuable asset a company has, urging the need to rethink how to tackle modern decision making problems. This special session focuses on this aspect and in particular on Data-Driven Multiple Criteria Decision Making. This session is addressing an important research question:

Given a dataset, how can one formulate and subsequently solve a decision making problem that addresses a particular challenge of interest?

This question can be broken down into many sub-questions/challenges, which define (but do not limit) the scope of the session as follows:

We encourage submission of abstracts describing new decision-making/optimization/learning strategies, challenges, applications and/or theoretical advancements in the area of data-driven multiple criteria decision making.

Submission instructions

Abstracts with at most 6000 characters can be submitted here: Submit abstracts. Please select the title of this session "Data-Driven Multiple Criteria Decision Making (Allmendinger et al.)" under "Topics". Detailed submission guidelines can be found here

Important dates

Abstract submission: February 1, 2017
Author notification: March 15, 2017
Early bird registration deadline: April 15, 2017
Last date for registration: June 1, 2017


Please feel free to contact us in case you have any questions to the session
Richard Allmendinger: richard.allmendinger@manchester.ac.uk
Jussi Hakanen: jussi.hakanen@jyu.fi
Dmitry Podkopaev: dmitry.podkopaev@gmail.com
Karthik Sindhya: karthik.sindhya@jyu.fi

About the organizers

Dr Richard Allmendinger is a Lecturer at the Alliance Manchester Business School (Alliance MBS), The University of Manchester, UK. Richard has joined Alliance MBS in 2015 after a 4-year long stint as Postdoc at the EPSRC Centre for Innovative Manufacturing in Emergent Macromolecular Therapies, University College London (UCL), UK. He received a PhD degree in Computer Science from the University of Manchester, UK, and a Diplom in Industrial Engineering from the Karlsruhe Institute of technology (KIT), Germany, and the Royal Melbourne Institute of Technology (RMIT), Australia.
Richard is Chair of the IEEE CIS Task Force on Optimization Methods in Bioinformatics and Bioengineering, Vice-Chair of the IEEE CIS Bioinformatics and Bioengineering Technical Committee, and General Chair of the upcoming IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2017). His main research interest is the development and application of optimization and data driven techniques to real-world problems arising in areas such as manufacturing, bioprocessing, experimental optimization, and economics.

Webpage: http://personalpages.manchester.ac.uk/staff/Richard.Allmendinger/default.htm

Dr Jussi Hakanen is a senior researcher at the Faculty of Information Technology at the University of Jyväskylä, Finland. He received MSc degree in mathematics and PhD degree in mathematical information technology, both from the University of Jyväskylä. His research is focused on multiobjective optimization with an emphasis on interactive multiobjective optimization methods and computationally expensive problems. He has participated in several industrial projects involving different applications of multiobjective optimization, e.g. in chemical engineering. He has been a visiting researcher in Cornell University, Carnegie Mellon, University of Surrey, University of Wuppertal, University of Malaga and the VTT Technical Research Center of Finland. He has a title of docent (similar to adjunct professor in US) in industrial optimization at the University of Jyväskylä.

Webpage: http://users.jyu.fi/~jhaka/en/

Dr Dmitry Podkopaev is an Assistant Professor at the Systems Research Institute in Warsaw, and also consulting mathematician at some private companies. He received a PhD degree in Mathematical Cybernetics from the Institute of Mathematics of the National Academy of Sciences of Belarus, and the title of Docent in Multiobjective Optimization from the University of Jyväskylä. His main research interest is modeling decision maker's preferences in multiobjective optimization problems with a wide range of application areas: from forest management to radiotherapy treatment planning.

Google Scholar page: https://scholar.google.pl/citations?user=vxt-rY8AAAAJ&sortby=pubdate

Dr Karthik Sindhya is a researcher at the Department of Mathematical Information Technology, University of Jyvaskyla Finland. He has a bachelor's and master's degree in chemical engineering and a PhD in multi-criteria optimisation. His PhD thesis on hybrid algorithms was supervised by Professor Kalyanmoy Deb and Professor Kaisa Miettinen and was nominated as one of the top three dissertations in multiple criteria decision making during the period: 2010-2013. He was also the recipient of the "Best algorithm award" at IEEE CEC 2007 and best poster award at MCDM 2011 conferences. His research interests include evolutionary algorithms especially evolutionary multi-objective optimisation (EMO) algorithms, data based decision making, handling computationally expensive objective functions that arise in industry and multiple criteria decision making approaches. He currently co-supervises three PhD students in the area of multi-criteria optimisation and is actively collaborating with Professor Yaochu Jin on a Finnish Distinguished Professor project called DeCoMo. In addition to his academic duties, he is also a co-founder of FINNOPT Ltd. a consultancy services company based in Finland providing optimisation services to several global companies.

Webpage: http://users.jyu.fi/~kasindhy/