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 has 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 Stochastic Modelling and Applications Laboratory of the Department of Statistics in AUEB since 2018.
He has extensive professional experience of applying machine learning and optimization techniques in finance and business, whereas he has been involved in numerous applied qualitative and quantitative research projects with respect to (a) the Greek economy and (b) credit default risk management perspectives organized by the Centre of Planning and Economic Research and Athens University of Economics and Business, respectively. 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 designing/implementing MSL's web page. Moreover, he has been MSL's Chief Knowledge Officer since 2014. Dr. Lappas worked as a Senior Business Analyst at Relational Financial Services S.A. supporting business solution software and analyzing business operations in the banking sector and as a Senior Data Scientist at Channel Vas and EXUS implementing machine learning algorithm for credit risk assessment purposes. Currently, he works as an Artificial Intelligence (AI) Solutions Architect at EXUS AI Labs.
Dr. Pantelis Z. Lappas' research interests are rooted in Operations Research and Statistics. He is primarily interested in Stochastic Optimization, Machine Learning and Evolutionary Algorithms. He has 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. Download PDF file with Full CV
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