Résumé
Download Curriculum Vitae (PDF file)
Academic Experience
Emory University, USA
Goizueta Business School
Information Systems & Operations Management Area
Associate Professor
2024-Present
Assistant Professor
2017-2024
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
Selected Publications and Working Papers
Panagiotis Adamopoulos: The Spillover Effect of Fraudulent Reviews on Product Recommendations
Panagiotis Adamopoulos, Vilma Todri: Consumer Social Connectedness and Persuasiveness of Automated Collaborative-Filtering Recommender Systems: Evidence from an Online-to-Offline Recommendation App
Panagiotis Adamopoulos, Vilma Todri, Anindya Ghose: Demand Effects of the Internet-of-Things Sales Channel: Evidence from Automating the Purchase Process
Panagiotis Adamopoulos, Anindya Ghose, Alexander Tuzhilin: Heterogeneous Demand Effects of Recommendation Strategies in a Mobile Application: Evidence from Econometric Models and Machine-Learning Instruments
Nasim Mousavi, Panagiotis Adamopoulos, Jesse Bockstedt: The Decoy Effect and Recommendation Systems
Marios Kokkodis, Panagiotis Adamopoulos, Sam Ransbotham: Asymmetric Reputation Spillover Effects from Digital Agencies in Online Markets
Chenshuo Sun, Panagiotis Adamopoulos, Anindya Ghose, Xueming Luo: Predicting Stages in the Consumer Path-Purchase Journey: An Omnichannel Deep-Learning Model
Vilma Todri, Panagiotis Adamopoulos, Michelle Andrews: Is Distance Really Dead in the Online World? How Geographical Distance Moderates the Effectiveness of Electronic Word-of-Mouth
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
Teaching Experience
Instructor:
MSBA Teaching Excellence Award
AI & Machine Learning at Scale - ISOM 676 (Spring 2024 - Present)
Instructor, ISOM Department, Goizueta Business School, Emory University, Atlanta Average overall evaluation of the instructor: 4.9 / 5.0
Applied Machine Learning - ISOM 599R (Spring 2022 - Spring 2023)
Instructor, ISOM Department, Goizueta Business School, Emory University, Atlanta
Average overall evaluation of the instructor: 5.0 / 5.0
Machine Learning II - ISOM 676 (Spring 2018 - Spring 2023)
Instructor, ISOM Department, Goizueta Business School, Emory University, Atlanta
Average overall evaluation of the instructor: 4.8 / 5.0
Capstone - Experiential Learning - ISOM 689 (Spring 2018 - Present)
Instructor, ISOM Department, Goizueta Business School, Emory University, Atlanta
Average overall evaluation of the instructor: 4.8 / 5.0
[Sample project clients: Amazon.com, Bank of America, Best Buy, Bloomingdale’s, Carnival Cruise Line, City of Atlanta, Cox Automotives, Cox Communications, Delta Air Lines, Emory Healthcare, FedEx, Focus Brands, Hartsfield-Jackson Atlanta International Airport, The Home Depot, IHG, Inspire Brands, Lineage Logistics, Macy’s, Publishers Clearing House, Realtor.com, Truist, etc.]
Managing Big Data - ISOM 671 (Fall 2017 - Spring 2020)
Instructor, ISOM Department, Goizueta Business School, Emory University, Atlanta
Average overall evaluation of the instructor: 4.7 / 5.0
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
AIS Mid-Career Award
INFORMS Information Systems Society Gordon B. Davis Young Scholar Award
AIS Early Career Award
Goizueta Business School Alumni Award for Excellence in Research
ISR Best Reviewer of the Year Award
Management Science Meritorious Service Awards
MISQ Best Reviewer Award Nomination
Amazon AWS DeepLens - Deep Learning Grant
ISR Best Published Paper Award Nomination
MSI Research Grant, Research Initiative on the Evolving Landscape of Martech and Advertising
INFORMS CIST Best Paper Award Nomination
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 Alexander S. Onassis Foundation
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 Skills
Recommender Systems, Data Mining, Machine Learning, Deep 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