- Information Service Engineering @ Twitter
- Aktuelle ISE Stellenausschreibungen
- Offene Abschlussarbeitsthemen (Bachelor & Master)
Dr. Mehwish Alam is a Post-Doctoral Researcher/Senior Researcher at FIZ Karlsruhe – Leibniz Institute for Information Infrastructure and Karlsruhe Institute of Technology (KIT), Institute of Applied Informatics and Formal Description Methods (AIFB) with Prof. Dr. Harald Sack. Before that she has conducted her Post-Doctoral Research at Laboratoire d’Informatique de Paris-Nord (LIPN), Paris, France (2016-2017) and Consiglio Nazionale delle Ricerche (CNR), Rome, Italy (2017-2019) with Prof. Dr. Aldo Gangemi. The focus of her research is to apply or develop Data Mining, Machine Learning/Deep Learning techniques for Semantic Web and Text Processing. Before her Post-Doc, she was PhD student in the field of Computer Science (2011-2015) in LORIA, INRIA, Nancy Grand-Est, France. Her PhD thesis was supervised by Dr. Amedeo Napoli and Dr. Malika-Smail Tabbone. She completed her prestigious Erasmus Mundus Research Masters in Language Communication and Technology in the discipline of Natural Language Processing. She completed her Masters in collaboration with University of Groningen, Groningen, the Netherlands and University of Nancy 2, Nancy, France. Her publications are accessible on DBLP and Google Scholar.
She has served as a proceedings chair as well as publicity chair for the ESWC'18, Poster and Demo Session chair in SEMANTiCS Conference 2019, Program Chair of International Conference in Conceptual Structures (ICCS'19), Assistant Tutor in International Semantic Web Summer School (ISWS'18). She has also been one of the organizers of the Workshop on Deep Learning for Knowledge Graphs (DL4KG'19) at ESWC 2019 and Fourth International Workshop at ESWC 2018 on Sentic Computing, Sentiment Analysis, Opinion mining and Emotion Detection. She is part of the program committee of major conferences such as IJCAI, AAAI, EKAW, ESWC etc. and served as a reviewer in many journals and workshops.
- Maschinelles Lernen, Natürliche Sprachverarbeitung, Data Mining, Deep Learning, Künstliche Intelligenz, Semantic Web