Bio

I am a Data Scientist at Philips. I was previously a postdoctoral associate at PITT Computational Social Dynamics Lab (PICSO LAB), School of Computing and Information (SCI), University of Pittsburgh between Jan 2020 - Dec 2020, which is directed by Dr. Yu-Ru Lin. I was also a visiting Ph.D. student at PICSO LAB between Sep 2017 and Dec 2019. I received my Ph.D. and M.Sc. degrees from Department of Information Systems, B.Sc. degree from Computer Engineering Department at METU. My expertise lies in spatio-temporal data mining, time series forecasting, deep learning and natural language processing.

What's New

  • 01/2021 - I have joined Philips as a Data Scientist!
  • 03/2020 - Paper accepted to appear in ICWSM 2020: “MimicProp: Learning to Incorporate Lexicon Knowledge into Distributed Word Representation for Social Media Analysis”.
  • 12/2019 - I will be a Postdoctoral Associate at PITT Computational Social Dynamics Lab (PICSO LAB), School of Computing and Information (SCI), University of Pittsburgh.
  • 11/2019 - I successfully defended my Ph.D. dissertation titled “Interpretable Spatio-Temporal Networks for Modeling and Forecasting Societal Events”.
  • 06/2019 - Paper accepted to appear in ECML-PKDD 2019: “CASTNet: Community-Attentive Spatio-Temporal Networks for Opioid Overdose Forecasting”.
  • 01/2019 - Paper accepted to appear in EPJ Data Science Journal: “Activism via attention: interpretable spatiotemporal learning to forecast protest activities”.

Research Interests

  • Data Science
  • Machine Learning
  • Spatio-Temporal Modeling
  • Event Analytics

Publications

  • M. Yan, Y.-R. Lin, R. Hwa, A. M. Ertugrul, M. Guo, W.-T. Chung, MimicProp: Learning to Incorporate Lexicon Knowledge into Distributed Word Representation for Social Media Analysis, International AAAI Conference on Web and Social Media (ICWSM), 2020. [link] [code] [bibtex]
  • A. M. Ertugrul, Y.-R. Lin, T. Taskaya-Temizel, CASTNet: Community-Attentive Spatio-Temporal Networks for Opioid Overdose Forecasting, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2019. [link] [code] [bibtex]
  • A. M. Ertugrul, Y.-R. Lin, W.-T. Chung, M. Yan, A. Li, Activism via attention: interpretable spatiotemporal learning to forecast protest activities, EPJ Data Science, 2019. [link] [code] [bibtex]
  • W.-T. Chung, Y.-R. Lin, A. Li, A. M. Ertugrul, M. Yan, March with and without Feet: The Talking about Protests and Beyond, 10th International Conference on Social Informatics (SocInfo), 2018. [link] [bibtex]
  • X. Teng, M. Yan, A. M. Ertugrul, Y.-R. Lin, Deep into Hypersphere: Robust and Unsupervised Anomaly Discovery in Dynamic Networks, 27th International Joint Conference on Artificial Intelligence (IJCAI), 2018. [pdf] [code] [bibtex]
  • A. M. Ertugrul, Y.-R. Lin, C. Mair, T. Taskaya-Temizel, Forecasting Heroin Overdose Occurrences from Crime Incidents, 11th International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS) - Opioid Challenge, 2018. [pdf] [poster] [bibtex]
  • R. Napoli, A. M. Ertugrul, A. Bozzon, M. Brambilla, A User Modeling Pipeline for Studying Polarized Political Events in Social Media, KDWEB Workshop 2018, co-located with ICWE 2018, 2018. [link] [bibtex]
  • A. M. Ertugrul, P. Karagoz, Movie Genre Classification from Plot Summaries using Bidirectional LSTM, 12th IEEE International Conference on Semantic Computing (ICSC), 2018. [link] [bibtex]
  • A. M. Ertugrul, B. Velioglu, P. Karagoz, Word Embedding based Event Detection on Social Media, 12th International Conference on Hybrid Artificial Intelligence Conference (HAIS), 2017. [link] [bibtex]
  • A. M. Ertugrul, I. Onal, C. Acarturk, Does the Strength of Sentiment Matter? A Regression Based Approach on Turkish Social Media, 22nd International Conference on Applications of Natural Language to Information Systems (NLDB), 2017. [link] [bibtex]
  • A. M. Ertugrul, O. Demirors, A Method for Modeling Business Processes in a Role-based and Decentralized Way, 8th International Conference on Subject-Oriented Business Process Management (S-BPM), 2016. [link] [bibtex]
  • A. M. Ertugrul, O. Demirors, An exploratory study on role-based collaborative business process modeling approaches, 7th International Conference on Subject-Oriented Business Process Management (S-BPM), 2015. [link] [bibtex]
  • A. M. Ertugrul, G. Yilmaz, M. Salmanoglu, O. Demirors, The Effect of Highlighting Error Categories in FSM Training on the Accuracy of Measurement, Joint Conference of International Workshop on Software Measurement and the International Conference on Software Process and Product Measurement (IWSM-MENSURA), 2014. [link] [bibtex]
  • I. Onal, A. M. Ertugrul, R. Cakici, Effect of Using Regression on Class Confidence Scores in Sentiment Analysis of Twitter Data, 5th ACL Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA), 2014. [pdf] [bibtex]
  • A. M. Ertugrul, I. Onal, RemindMe: An Enhanced Mobile Location-Based Reminder Application IEEE 2nd International Conference on Future Internet of Things and Cloud (FiCloud), 2014. [link] [bibtex]
  • I. Onal, A. M. Ertugrul, Effect of Using Regression in Sentiment Analysis, 22nd IEEE Conference on Signal Processing and Communications Applications (SIU), 2014. (in Turkish) [link] [bibtex]
  • O. R. Yurum, O. O. Top, A. M. Ertugrul, O. Demirors, Yazılım Süreç Değerlendirme Araçlarının Karşılaştırılması: Bir Çoklu Durum Çalışması, 8th National Software Engineering Symposium (UYMS), 2014. (in Turkish) [pdf] [bibtex]
  • A. M. Ertugrul, I. Onal, Çeşitli Konum Etiketleme Opsiyonlarıyla Zenginleştirilmiş Yeni Bir Konum Bazlı Hatırlatma Uygulaması, 8. Ulusal Yazılım Mühendisliği Sempozyumu (UYMS), 2014. (in Turkish) [pdf] [bibtex]

Education

Sep 2015 - Dec 2019 Ph.D. - Department of Information Systems, Middle East Technical University
Sep 2012 - Aug 2015 M.Sc. - Department of Information Systems, Middle East Technical University
Sep 2006 - Jun 2011 B.Sc. - Department of Computer Engineering, Middle East Technical University

Academic & Work Experience

Jan 2020 - Dec 2020 Postdoctoral Associate - School of Computing and Information, University of Pittsburgh
Sep 2017 - Dec 2019 Visiting Scholar - School of Computing and Information, University of Pittsburgh
Jul 2016 - Sep 2016 Visiting Ph.D. Student - Web Information Systems Group, TU Delft
Dec 2013 - Nov 2017 Research Assistant - Graduate School of Informatics, Middle East Technical University
Nov 2014 - Dec 2015 Researcher & Analyst - Bilgi Grubu
Oct 2011 - Sep 2013 R&D Software Engineer - Arcelik A.S.