Résumé

Download Curriculum Vitae (PDF file)

Academic Experience

Emory University, USA
Goizueta Business School
Information Systems & Operations Management Area
Assistant Professor
Starting Date: 07/2017

University of Minnesota, USA
Carlson School of Management
Department of Information and Decision Sciences
Assistant Professor
2016-2017

Education

New York University, USA
Leonard N. Stern School of Business
Department of Information, Operations and Management Sciences
Ph.D. in Information Systems
Dissertation on Unexpectedness and Non-Obviousness in Recommendation Technologies and Their Impact on Consumer Decision Making (Doctoral Advisor: Alexander Tuzhilin)

New York University, USA
Leonard N. Stern School of Business
Department of Information, Operations and Management Sciences
M.Phil. in Information Systems

Athens University of Economics and Business, Greece
Department of Management Science and Technology
Ptychion with specialization on Information Systems and E-Business
Dissertation on Search Engine Optimization Techniques
GPA: 9.54/10, Ranked 2nd (Top 0.01%) in the history of the department

Research

Research Interests & Methods:
Data science, machine learning, econometrics, and experimental research designs in the areas of recommender systems, e-business, social media, and e-learning

Publications

Google Scholar profile
List of publications

Selected Publications and Working Papers

Panagiotis Adamopoulos, Anindya Ghose, Vilma Todri: The Business Impact of the Internet of Things: Evidence from an Online Retailer

Panagiotis Adamopoulos, Anindya Ghose, Alexander Tuzhilin: The Business Value of Recommendations in a Mobile Application: Combining Deep Learning with Econometrics

Panagiotis Adamopoulos, Anindya Ghose, Vilma Todri: Estimating the Impact of User Personality Traits on Word-of-Mouth: Text-mining Microblogging Platform

Panagiotis Adamopoulos, Alexander Tuzhilin: On Unexpectedness in Recommender Systems: Or How to Better Expect the Unexpected

Panagiotis Adamopoulos: What Makes a Great MOOC? An Interdisciplinary Analysis of Student Retention in Online Courses

Panagiotis Adamopoulos, Anindya Ghose, Param Vir Singh (CMU), Vilma Todri: Falling in Love With a Brand: Multi-Channel Attribution and Interdependencies Beyond Purchase Incidences

Teaching Experience

Complete list of teaching experience

Instructor:

MSBA Teaching Excellence Award

Machine Learning II - ISOM 676 (Spring 2018)
Instructor, ISOM Department, Goizueta Business School, Emory University, Atlanta

Capstone - Experiential Learning - ISOM 689 (Spring 2018)
Instructor, ISOM Department, Goizueta Business School, Emory University, Atlanta

Managing Big Data - ISOM 671 (Fall 2017)
Instructor, ISOM Department, Goizueta Business School, Emory University, Atlanta

Advanced Business Intelligence - IDSC 6446 (Spring 2017)
Instructor, IDS Department, Carlson School of Management, University of Minnesota, Minneapolis
Overall evaluation of the instructor: 5.9 / 6.0
Overall evaluation of the course: 5.9 / 6.0

Experiential Learning - MSBA 6510 (Spring 2017)
Instructor, IDS Department, Carlson School of Management, University of Minnesota, Minneapolis
Overall evaluation of the instructor: 5.8 / 6.0

Predictive Analytics - MSBA 6420 (Fall 2016)
Instructor, IDS Department, Carlson School of Management, University of Minnesota, Minneapolis
Overall evaluation of the instructor: 5.7 / 6.0, 5.6 / 6.0
Overall evaluation of the course: 5.7 / 6.0, 5.6 /6 .0 (Department average: 5.05 / 6.0)

Data Mining for Business Analytics - INFO-UB.0057 (Spring 2014)
Instructor, IOMS Department, Stern School of Business, New York University, New York
Overall evaluation of the instructor: 6.9 / 7.0 (Department average: 5.3 / 7.0)
Overall evaluation of the course: 6.7 / 7.0 (Department average: 5.2 / 7.0)

Learning and Development Course for SAP BusinessObjects - Industry Experience (2008-2010)
Instructor, Relational S.A., Athens, Greece
Overall evaluation of the instructor: 5.0 / 5.0

Mentor:
Senior Projects on Advanced Recommender System Algorithms - INDIV-UG.1905 (Fall 2015)

Independent Study on Recommender System Algorithms - INDIV-UG.1901 (Spring 2015)

Teaching Fellow:
Introduction to Programming for Data Science, Data Science for Business Analytics, Data Mining for Business Analytics, Data Mining for Business Intelligence, Practical Data Science, Information Technology in Business and Society

Selected Awards

List of honors and awards

Emory University’s Goizueta Business School MSBA Teaching Excellence Award

Emory University’s Goizueta Business School Research Grant

Management Science Meritorious Service Award

MSI Research Grant, Research Initative on the Digitized Customer

UMN Teaching Innovation Grant

NVIDIA GPU Grant

UMN Carlson School Dean’s Research Grant

INFORMS Social Media Analytics Best Paper Award Finalist

Wharton Customer Analytics Initiative Award

Stern Dean’s Fellowship, New York University

Teaching Commendation from the Vice Dean for Doctoral Education of Stern School of Business, New York University

Selected for the ICIS, RecSys, WWW, and WSDM Doctoral Consortiums

Amazon AWS in Education Teaching and Research Awards

Grant from the NYU Student Senators Council and Vice Provost for Research

Fellowship from Gerondelis Foundation

Doctoral Fellowship from Stern School of Business, New York University

Start-up Business Plan Winner (1st prize at the 2008 DMST@AUEB contest)

Scholar of the John S. Latsis Scholarships Foundation

Fellowship from the State Scholarships Foundation of Greece

Industry Experience

Relational S.A., Senior Business Intelligence Engineer and Consultant

Toyota Hellas S.A., Information Technology Business Analyst (Internship)

Grammatikos Insurances Ltd., Information Technology agent (Part-time)

Hellenic Telecommunications Organization (OTE S.A), Business-to-Business Customer Service and Sales (Part-time)

Additional Skils

Recommender Systems, Data Mining, Machine Learning, Big Data, High Perfomance Computing, Python, R, SQL, HTML, UML, LaTeX, Linux, Unix

Special Software:
Apache Hadoop, Pig, Hive, Spark, HBase, Sqoop, Flume, Impala, Informatica PowerCenter, SAP BusinessObjects, Oracle RDBMS, MS SQL Server, Sybase Adaptive Server IQ, MySQL, MongoDB, Simul8, ARIS Toolset, Weka, RapidMiner, MATLAB, Mathematica, osCommerce, MS Commerce Server and Dynamics NAV

Languages:
English, Greek (Native), Spanish

Professional Activities and Service

Selected Talks