Contact
| elaheh.momeni-ortner {at} univie.ac.at | |
| Phone | (+43) 1 42 77 78825 |
| Address | Waehringer Strasse 29/5.32
A-1090 Vienna, Austria |
About Me
I am a research associate of the Multimedia Information System group at the University of Vienna. I did my PhD in Computer Science at the University of Vienna and I received a Master of Computer Science with distinction in Information and Knowledge Management from the Vienna University of Technology (TU Vienna), Austria.
My research interests are in the area of data mining and collective intelligence, wherein I am motivated by how the availability of extensive human digital footprints (via online social media or smart pervasive artifacts), coupled with computational methods can help us to make sense of collective behavior or individual behavior. In particular, I am interested in creating intelligent adaptive systems for making the different strengths of big data, machines, and the human crowd exploitable by non-experts in different application domains.
I am also a co-founder of the company, eMentalist.AI, where we focus on development of domain-related data science bots, which are able to identify hidden signals from large scale structural and unstructured data.
I have also worked for different companies and research centers, such as the SMARTASSISTANT and Iran Communication and Information Research Center, as a researcher and knowledge manager.
Research Interests
- Data Mining
- Collective Intelligence
- Machine Learning
- User Generated Content Mining
- Computational Social Science
Research Visits and Internships
- Visiting Researcher (Fall 2017) at the Information Sciences Institute at University of Southern California, Los Angeles, USA, where I worked with Kristina Lerman
- Visiting Researcher (Fall 2013) at the Michigan Interactive & Social Computing at University of Michigan, Michigan, USA, where I worked with Eytan Adar
- Intern (Fall 2012) at the Natural Language Processing group at Cornell University, NY, USA, where I worked with Claire Cardie
- Visiting Researcher (Fall 2011) at the Web Information Systems, Delft University of Technology, Netherlands, where I worked with Geert-Jan Houben
Award, Grant, Projects
- Academia plus Business Fund, the program provides support for scientists to turn a good idea into a viable business (AplusB 2016).
- 1st prize Young Innovators Professional Award (Platform for Innovation Management of Austria 2015)
- Doctorat Award 2014 of the Universtiy of Vienna (Doc. Award 2014)
- PhD research promotion of the University of Vienna (2013)
- Short-term research grant abroad (KWA) of the University of Vienna (Summer 2012)
- 1st prize EuropeanaTech2011 Hackathon, 2011: Petr Pridal, Rainer Simon, Elaheh Momeni, Anja Jentzsch, Ulrike Krabo (CultureGlobe)
- Precious (From 11/2013), an EU funded project that provides a preventive health care system that will improve the health of the user, and deliver cost savings in the public health sector.
- EuropeanaConnect (05/2009 - 10/2011), an EU eContentplus funded project that supports the development of Europeana, which enables people to explore the digital resources of Europe's museums, libraries, archives and audio-visual collections
Publications
- Modeling Evolution of Topics in Large-scale Temporal Text Corpora, Elaheh Momeni, Shanika Karunasekera, Palash Goyal, Kristina Lerman, In International AAAI Conference on Weblogs and Social Media (ICWSM 2018), Stanford, USA
- How to Assess and Rank User-Generated Content onWeb? Elaheh Momeni, Claire Cardie, Nick Diakopoulos, In: Companion Proceedings of the International Web Conference (WWW 2018), Lyon, France
- FactCheck - Identify and Fix Conflicting Data on the Web Peter Kalchgruber, Wolfgang Klas, Nour Jnoub and Elaheh Momeni, In Proceedings of 18TH International Conference on Web Engineering (ICWE 2018), Caceres, Spain
- Leveraging Semantic Facets for Adaptive Ranking of Social Comments, Elaheh Momeni, Reza Rawassizadeh, Eytan Adar, In Proceedings of ACM International Conference on Multimedia Retrieval (ICMR 2017).
- Leveraging Causal Relationships to Predict Dynamics of Domain-related Events, Elaheh Momeni at EASM workshop co-located with International AAAI Conference on Weblogs and Social Media (ICWSM 2017)
- Detecting Physical Activity within Lifelogs towards Preventing Obesity and Aiding Ambient Assisted Living. Chelsea Dobbins, Reza Rawassizadeh, Elaheh Momeni, at Neurocomputing Journal (NEUCOM 2017)
- A Survey on Assessment and Ranking Methodologies for User-Generated Content on the Web, Elaheh Momeni, Claire Cardie, Nick Diakopoulos, ACM Computing Survey Journal (CSUR 2016).
- Scalable Daily Human Behavioral Pattern Mining from Multivariate Temporal Data, Reza Rawassizadeh, Elaheh Momeni, Chelsea Dobbins, Joobin Gharibshah, Michael Pazzani, at Transactions on Knowledge and Data Engineering Journal (TKDE 2016) (ACM Computing Review Notable Article of 2016)
- Energy-Efficient Integration of Continuous Context Sensing and Prediction into Smartwatches, Reza Rawassizadeh, Martin Tomitsch, Manouchehr Nourizadeh, Elaheh Momeni, Aaron Peery, Liudmila Ulanova, Michael Pazzani, Sensors Journal, (Sensors 2015)
- Lesson Learned from Collecting Quantified Self Information via Mobile and Wearable Devices Reza Rawassizadeh, Elaheh Momeni, Chelsea Dobbins, Pejman Mirza-Babaei, Ramin Rahnamoun, Journal of Sensor and Actuator Networks 2015, (JSAN 2015)
- Adaptive Faceted Ranking for Social Media Comments, Elaheh Momeni, Simon Braendle, Eytan Adar, Proc. 37th European Conference on Information Retrieval (ECIR 2015)
- Content, Context, and Critique: Commenting on a Data Visualization Blog, Jessica Hullman, Nick Diakopoulos, Elaheh Momeni, Eytan Adar. Proc. Conference on Computer Supported Cooperative Work (CSCW 2015).
- Leveraging Social Affect for Identifying Individual Mood, Elaheh Momeni, Peter Kalchgruber, Daniela Ramsaur, Reza Rawassizadeh, In Workshop on Data Science: Methods, Technology and Applications, 2015.
- Adaptive Moderation of User-Generated Content on Web, Elaheh Momeni, PhD Thesis, 2015.
- Sifting Useful Comments from Flickr Commons and YouTube, Elaheh Momeni, Bernhard Haslhofer, Ke Tao, and Geert-Jan Houben In: International Journal on Digital Librariess (IJDL 2014)
- Properties, Prediction, and Prevalence of Useful User-generated Comments for Descriptive Annotation of Social Media Objects, Elaheh Momeni, Claire Cardie and Myle Ott, In International AAAI Conference on Weblogs and Social Media (ICWSM 2013), Boston, USA, 2013
- Identification of Useful User Comments in Social Media: A Case Study on Flickr Commons, Elaheh Momeni, Ke Tao, Bernhard Haslhofer, and Geert-Jan Houben In: ACM/IEEE Joint Conference on Digital Libraries (JCDL 2013), Indianapolis, USA, 2013 (Student Best Paper Award Nomination)
- An Empirical Analysis of Characteristics of Useful Comments in Social Media Elaheh Momeni and Gerhard Sageder In: ACM Web Science 2013, Paris, France, 2013
- Semi-Automatic Semantic Moderation of Web Annotations, Elaheh Momeni In: Companion Proceedings of the International Conference on World Wide Web (WWW 2012), Lyon, France, 2012
- Semantic Web-based Integration of Heterogeneous Web Resources Elaheh Momeni, In: AAAI Spring Symposium - AI for Business Agility, Stanford University, USA, 2011
- Supporting Forgetting and Semantic Enrichment of e-Memories through Annotation, Reza Rawassizadeh, Elaheh Momeni, Katarzyna Wac, Martin Tomitsch, and A Min Tjoa, In: In workshop on Bridging Practices, Theories, and Technologies to Support Reminiscence of ACM Conference on Human Factors in Computing Systems (CHI 2011), Vancouver, Canada, 2011
- Semantically Augmented Annotations in Digitized Map Collections Rainer Simon, Bernhard Haslhofer, Werner Robitza, and Elaheh Momeni, In: ACM/IEEE Joint Conference on Digital Libraries (JCDL 2011), June 13-17, 2011, Ottawa, Ontario, Canada, 2011
- Towards (Semi-)Automatic Moderation of social Web Annotations Elaheh Momeni, In: Proceedings of the International Conference on Social Computing (SocialCom 2010), Minneapolis, USA, 2010
- An Evaluation Approach for Dynamics-Aware Applications using Linked Data Niko Popitsch, and Bernhard Haslhofer, and Elaheh Momeni In: 9th International Workshop on Web Semantics (WebS 2010), co-located with Dexa 2010, 2010-08-30, Bilbao, Spain, 2010
- Augmenting Europeana Content with Linked Data Resources Bernhard Haslhofer, Elaheh Momeni, Manuel Gay, and Rainer Simon In: Linked Data Triplification Challenge, co-located with I-Semantics 2010, 2010-09-01, Graz, Austria, 2010
- Europeana RDF Store Report Haslhofer, Bernhard and Momeni Roochi, Elaheh and Schandl, Bernhard and Zander, Stefan Technical Report. University Of Vienna, 2011
Teaching
- Multimedia Information Retrieval (2016-present), co-instructor. A masters-level courses in Media Informatics examining technologies and available methods for building (multimedia) retrieval systems. Focus on search and retrieval technologies and methods.
- Multimedia Information Systems 1 and 2 (2010-present), co-instructor. A masters-level courses in Media Informatics examining technologies and available applications for building (multimedia) Web information systems. Focus on Semantic Web technologies and, metadata standards.
- Media Informatics Student Projects (2010-present)
- Modeling Techniques and Methods (2013-present), co-instructor. An undergraduate introductory course covering basic data modeling standards such as EER, UML, etc..
Applications and Datasets
- AMOWA, A framework for enabling faceted ranking on comments attached to social media objects (such as comments on an online video or a news article). It helps users explore the comment space by offering facilities to extract a set of semantic facets dynamically and to adapt the ranking of comments on the fly according to the users' preferences.
- In the context of my PhD thesis I employed the crowd-sourcing technique to create a gold standard data set of multi-label comments form YouTube and Flickr. The comments were annotated with respect to Subjectivity, Affect, Offensiveness, Video Timestamp, Sadness, Anger, and Usefulness. The dataset format is in CSV. If you are interested to work with this dataset contact me.