Haq Nawaz
Islamic Scholar | NLP & AI Specialist | Islamic Digital Solutions Expert
Islamic Scholar | NLP & AI Specialist | Islamic Digital Solutions Expert
I am Haq Nawaz, a faculty member at Jamia Ashrafia Lahore, a PhD Scholar in NLP at COMSATS University Lahore, and a Data Science Consultant at ILI.DIGITAL AG. I specialize in bridging modern artificial intelligence with classical Islamic sciences — leading pioneering efforts in Islamic software development, digitization, and AI-powered Qur'anic and Hadith tools for education, research, and public benefit.
As one of the earliest contributors to Urdu Unicode content digitization, my work has enabled millions of words from classical texts—including the Qur’an, Hadith, and foundational Islamic literature—to become searchable, readable, and interactive across platforms. These efforts laid the groundwork for major portals such as Easy Quran wa Hadees and Tanzeem Islami Digital Library.
I’ve developed award-winning educational platforms like Altasreef, which automates Arabic verb conjugations with Urdu translations and exam generation, earning 1st Prize at UET Lahore’s Brainiac 2018. At NaSCon 2019 (FAST-NUCES), my personal R&D project in Quranic NLP annotation—involving 5.4+ million attribute labels in three languages—was also recognized nationally.
My mobile applications include the The Noble Quran and آسان ترجمہ قرآن apps, presenting the renowned English and Urdu translations and tafsir by Mufti Taqi Usmani for scholars and general readers alike. I’ve also developed Tazkeer-ul-Quran, which offers multilingual Qur’an translations and thematic organization for deep reflection; the Seerat Quiz app, designed to teach Seerah to school-going children through interactive learning; and وجود باري تعالى اور توحید, a digital presentation of Islamic scholarship, continuing my mission of digitizing authentic Islamic texts for the digital age.
During the visit of Imam Masjid-e-Nabawi Dr. Salah Al-Budair on August 15, 2024, I had the honor of presenting our research and technological contributions in the field of Arabic morphology (علم الصرف). We discussed how Natural Language Processing (NLP) and AI can simplify classical grammar learning for students.
During the visit of Imam-e-Kaaba Dr. Sheikh Abdullah Awad Al-Juhany on April 16, 2019, we explored the integration of technology in teaching classical Arabic. Our discussion focused on how digital tools and platforms can enhance the learning experience, making classical Arabic more accessible to students worldwide.
During his 2015 visit to Jamia Ashrafia, I had the honor of presenting my work in Qur'anic Natural Language Processing (NLP) and Islamic tools to Sheikh Khalid Al-Ghamidi, Imam of Masjid Al-Haram. Our discussion highlighted the implementation of Qur'an morphological tagging, emphasizing its role in enhancing students' understanding of classical Arabic and deepening their comprehension of the Qur'anic text.
ISDP reflects my passion for integrating sacred knowledge with cutting-edge technology. It aims to equip our ulema with the tools to lead in the digital world — not just follow. The success of our graduates in the tech industry underscores the program's effectiveness in bridging traditional Islamic scholarship with modern technological expertise.
This project was awarded 1st Prize at the Brainiac Software Competition 2018 (UET Lahore) for digitizing Islamic linguistic education. The underlying model and linguistic approach were also published as a research paper at AbjadNLP 2025 (COLING): Read the paper.
This platform played a transformative role in opening digital Islamic access for Urdu-speaking users. Its underlying data and architecture have been adopted by numerous mobile apps and online platforms across Pakistan and globally. Easy Quran wa Hadees stands as a milestone in the history of Islamic digitization.
Mohaddis.com stands out as a reference-grade Hadith resource and a key part of the modern Islamic digital library in Pakistan. Its combination of traditional content and modern UX has made it widely adopted in scholarly circles and educational institutes.
As one of the first major Urdu digitization efforts for Islamic books in Pakistan, this project set a trend in religious archiving and inspired many modern Islamic libraries and apps. The platform is now referenced by scholars, students, and researchers worldwide.
Bridging the gap between sacred knowledge and modern convenience, these mobile applications are designed to make the Qur'an and Islamic studies accessible to everyone, anywhere, anytime.
This app introduces young minds to the noble character and important milestones in the life of the Prophet ﷺ through engaging quizzes. It's a stepping stone toward developing love and connection with Seerah through modern technology.
This app is part of my broader vision to digitally preserve and repurpose classical Islamic literature—transitioning it from scanned archives to searchable web libraries, and now to interactive mobile applications. It invites users to reflect on the foundation of Islamic belief: La ilaha illAllah — there is no deity but Allah.
Awarded for the development of Altasreef, an AI-powered Arabic morphology trainer that generates verb conjugations across classical patterns along with Urdu translations.
The project was recognized for its innovation in digitizing classical Arabic linguistics and its utility for Classical Arabic, language learners, and NLP researchers. Altasreef introduced:
This award recognized the project's excellence in applying cutting-edge technology to traditional Islamic education and showcased its relevance at the national level.
Recognized for groundbreaking personal R&D work in Natural Language Processing of Qur’anic text, where I manually segmented, tagged, and annotated a large-scale dataset of the Holy Quran for multi-language NLP applications.
The core project involved:
This recognition at NaSCon 2019 (FAST-NUCES) celebrated my independent research in the Indo-Pak Uthmani script, and established a foundation for advanced Qur’anic datasets in multilingual NLP environments. The annotated dataset continues to support various AI projects in Arabic linguistics and Quranic education.
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