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General Information

Full Name Nadir Durrani
Languages English, Urdu, Hindi, Punjabi, German (elementary)

Education

  • 2008-2012
    PhD (Dr. rer. nat.) with Magna Cum Laude
    University of Stuttgart, Stuttgart, Germany
    • A Joint Translation Model with Integrated Reordering
    • Prof. Hinrich Schütze, Prof. Alexander Fraser, Dr. Helmut Schmid
    • GSCL Best Thesis Award (2014)
  • 2005-2007
    MS (CS) with Silver Medal
    National University of Computer and Emerging Sciences, Lahore, Pakistan
    • Typology of word and automatic word segmentation in Urdu text corpus
    • Prof. Sarmad Hussain

Experience

  • 2021 - date
    Senior Scientist
    Qatar Computing Research Institute, Doha, Qatar
    • LLMeBench: Benchmark your LLMs
    • NxPlain: Explain my prediction
    • NeuroX: A framework to interpret deep NLP models
    • NatiQ: Arabic Speech Synthesis System
  • 2015 - 2020
    Scientist
    Qatar Computing Research Institute, Doha, Qatar
    • Shaheen: Dialectal Arabic-to-English System
    • Shaheen: MSA Arabic-to-English-to-Arabic System
    • QATS: Arabic-English Speech Translation System
    • NeuroX: A framework to interpret deep NLP models
  • 2012-2014
    Postdoctoral Research Associate
    ILCC, University of Edinburgh, Scotland, UK.
    • Translation and Reordering Models for Phrase-based MT
    • Unsupervised transliteration models in SMT
  • 2012-2012
    Research Intern
    IBM Watson Center, Yorktown Heights, NY, USA
    • Egyptian-to-English Machine Translation
  • 2005-2007
    Research Officer
    Center for Research in Urdu Language Processing, Lahore, Pakistan
    • PAN Localization Project
  • 2005-2005
    Project Coordinator
    Science and Technology and Environment Agency, Vientiane, Laos
    • PAN Localization Project

Projects

  • 2023-
    LLMeBench
    • A framework to benchmark LLMs
  • 2021-2023
    NxPlain
    • A framework to explain predictions in NLP models
  • 2018-
    NeuroX
    • A framework to interpret deep NLP models
  • 2018-2021
    NatiQ
    • NatiQ is an Arabic Text-to-Speech Synthesizer based on encoder-dercoder architecture
  • 2015-2021
    Shaheen
    • Shaheen is an Arabic-English Neural Machine Translation system with support of various Arabic dialects
  • 2015-2016
    Farasa
    • Farasa is the state-of-the-art full-stack package to deal with Arabic Language Processing
  • 2012-2015
    Moses
    • Moses a statistical machine translation system

Honors and Awards

  • 2023
    • King Salman Global Academy Prize, Riyadh, Saudi Arabia
  • 2017
    • Best innovation award for Arabic-English Speech Translation at ARC, Doha
  • 2014
    • GSCL Best Computational Linguistic Dissertation Award, Kovens, Germany
  • 2007
    • Scolarship for doctoral studies in Germany, Islamabad, Pakistan

Research Interests

  • Natural Language Processing
    • Explainable AI: Analyzing deep NLP models (with a focus on diagnostic classifiers, linguistic correlation analysis, unsupervised methods, clustering methods, ablation analysis, similarity analysis, causation and behavioral studies)
    • Machine Translation: Neural and Statistical MT (with focus on reordering, domain adaptation, transliteration, dialectal translation, pivoting, closely related and morphologically rich languages, simultaneous translation, eye-tracking for MT evaluation)
  • Localization
    • Localization of open source operating systems (desktop environment KDE/GNOME), word processing applications (Open Office), chatting tools (Psi), web browsers (Sea Monkey, Mozilla) and web development tools (NVU), localization of domain names, font development

Other Interests