Dr. Pantelis Z. Lappas, OPeR, Operations Research
Dr. Pantelis Z. Lappas has completed his doctoral studies in Operations Research at Athens University of Economics and Business (2017). He holds a MSc degree in Information Systems with specialization in Business Information Systems (2009) and a BSc degree in Informatics Engineering (2007). He has also completed a MSc degree in Statistics with specialization in Quantitative Statistical Methods applied in Decision Making (2013). In addition, he attended 1-Year Pedagogical Training Program acquiring pedagogical and didactic competence (2011). He received excellence awards (BSc, MSc) and a scholarship (BSc) from the Greek State Scholarships Foundation. He has been a member of the Operations Management and ERP Systems Center (OPeR) of the Management Science Laboratory (MSL) in AUEB since September 2010, as well as, a member of the Hellenic Mathematical Society (2013) and the Hellenic Operational Research Society (2014).

He has six years of experience in teaching and he has been involved in numerous applied qualitative and quantitative research projects with respect to the Greek economy organized by the Centre of Planning and Economic Research. He worked at the Directorate of Risk Management of the National Bank of Greece and participated in projects of AUEB.   He supported both the International MBA Program (iMBA) and the Management Science Laboratory by administering iMBA's laboratory and MSL's web page. Moreover, he has been MSL's Chief Knowledge Officer since 2014. Currently, Dr. Pantelis Z. Lappas works as a Business Analyst at Relational Financial Services S.A. supporting business solution software and analyzing business operations in the banking sector.

Dr. Pantelis Z. Lappas' research interests are rooted in Operations Research. He is primarily interested in Stochastic Inventory Routing Problems, Queuing Networks and Evolutionary Algorithms. He received an award from the Centre of Planning and Economic Research for his paper "Mathematical Models and Exact Solutions for the Inventory Routing Problem", based on his PhD thesis.

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