CV

For a complete version in PDF form, click here.

Employment history

Feb 2022 — Present	Senior Applied Scientist, AWS AI Labs, Amazon Web Services (link)
Jul 2021 — Feb 2022	Applied Scientist, AWS AI Labs, Amazon Web Services (link)
Sep 2019 — Jul 2021	Postdoctoral Researcher, Noah's ARK NLP group, University of Washington (link)
Apr 2016 — Aug 2019	Postdoctoral Researcher, NLU group, Idiap Research Institute (link)
Jun 2014 — Dec 2014	Visiting Scholar, DVMM lab, Columbia University (link)
Feb 2012 — Mar 2016	Research Assistant, NLP group, EPFL/Idiap Research Institute (link)
May 2009 — Oct 2011	Software Engineer, i-Sieve Technologies (link)
Nov 2007 — Nov 2011	Software Engineer, Endysis Group (link)
Mar 2007 — Jul 2007	Software Developer, Optimor Labs (link)

Awards & Honors  Show more

• Two-year postdoc fellowship to be hosted at the University of Washington
  Swiss National Science Foundation (SNSF), 2018
  
• Best paper award "Multilingual Hierarchical Attention Networks for Document Classification"
  Nikolaos Pappas and Andrei Popescu-Belis
  International Joint Conference on Natural Language Processing (IJCNLP), 2017
  
• Best multimodal paper award "Multilingual Visual Sentiment Concept Matching"
  Nikolaos Pappas, Mercan Topkara, Miriam Redi, Brendan Jou, Tao Chen, Hongyi Liu, Shih-Fu Chang
  ACM International Conference on Multimedia Retrieval (ICMR), 2016
  
• PhD student paper award "Adaptive Sentiment-Aware One-Class Collaborative Filtering"
  Nikolaos Pappas and Andrei Popescu-Belis
  Idiap Research Institute, 2015
  
• 1st prize on video lecture annotation and search challenge
  Idiap's Natural Language Processing group
  ACM Multimedia Conference, 2013
  
Award for top graduates of Greek Polytechnic Schools
TEE - Technical Chamber of Greece, 2012

Scholarship for the third Academic Year
ΙΚΥ - Greek State Scholarships Foundation, 2006

Scholarship for the first Academic Year
ΙΚΥ - Greek State Scholarships Foundation, 2004

Talks & Lectures  Show more

• “Large-context and efficient models of language”, Pindrop, 2021
  Web Slides
• “Grounded Compositional Outputs for Adaptive Language Modeling”, EMNLP, 2020
  Web Slides
• “Deep Residual Output Layers for Neural Language Generation”, ICML, 2019
  Web Slides
• “Basics and (Modern) Methods for Natural Language Processing”, Digital School of UnternehmerTUM, 2018
  Web Slides
• “Multilingual Hierarchical Attention Networks for Document Classification”, IJCNLP, 2017
  Web Slides
• “Labeling Text in Several Languages with Multilingual Hierarchical Attention Networks”, Swisstext, 2017
  Web Slides
“Deep Learning for NLP: Multilingual Word Sequence Modeling”, HLT course at EPFL, 2016
Web Slides
“Human versus Machine Attention in Document Classification: A Dataset with Crowdsourced Annotations”, EMNLP, 2016
Web Slides
“Deep Learning for NLP: Word Representation Learning”, HLT course at EPFL, 2016
Web Slides
“Explicit Document Modeling using Multiple-Instance Learning”, Data Science group at Swisscom, 2016
Web Slides
“Weighted Multiple Instance Learning for Text Regression Tasks”, SMLD, 2015
Web Slides
“Learning Aspects and Ratings with Multiple-Instance Regression from Text”, SMLD, 2013
Web Slides
“Combining Content with User Preferences for TED Lecture Recommendation”, CBMI, 2013
Web Slides
“A System for Up-to-date Opinion Retrieval and Mining in the Web”, CiCling, 2013
Web Slides
“Intoduction to Recommender Systems”, HLT course at EPFL, 2012
Web Slides

Service

Natural Language Processing EMNLP 2017, 2018, 2019, 2020-2024 ACL 2017, 2019, 2020, 2021-2024 NAACL-HLT 2018, 2019, 2021, 2023 AACL-IJCNLP 2020 TACL 2021 COLING 2016, 2020 LREC 2018, 2020

Machine Learning & Other ICML 2020, 2021, 2022, 2023, 2024 ICLR 2021, 2022, 2023, 2024 NeurIPS 2021, 2022, 2023 IJCAI 2021, 2022 AAAI 2020, 2021, 2022 ICMR 2017, 2018, 2019 ACMMM 2017, 2018 TMLR 2022, 2024

Area chair

• EACL 2023, EACL 2024, NAACL-HLT 2024, ACL 2024

Contact me at: nppappa@amazon.com
Scholar / Github / Twitter