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.
Visit of Imam Masjid-e-Nabawi Dr. Salah Al-Budair – August 15, 2024
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.
Visit of Imam-e-Kaaba Dr. Sheikh Abdullah Awad Al-Juhany – April 16,
2019
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.
Visit of Imam Khalid Al-Ghamidi – 2015
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.
🎓 Education
PhD Scholar in Computer Science (NLP & AI) –
COMSATS University Lahore
Graduation in Dars-e-Nizami / Classical Arabic –
Jamia Ashrafia, Lahore
MS in Computer Science – University of Central
Punjab, Lahore
Tailored curriculum for scholars with no prior tech background
Practical training in web development, databases, and Python
Students build real Islamic apps and digital tools for da'wah
Promoting the digitization of Islamic knowledge through
scholar-led innovation
Graduates have secured positions in reputable software houses
such as InstaCare and E Web Craft, contributing as mobile
application and web developers.
View success stories here.
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.
Altasreef
– An AI-powered Arabic morphology (علم الصرف) learning platform that
combines linguistic knowledge with NLP techniques to support
students of classical Arabic grammar.
Generates full verb conjugations for ماضی معروف، مضارع معروف،
امر، مجہول، منصوب، مجزوم، and more
Covers multiple صرف patterns (باب) like باب سمع، باب فتح، باب
نصر، باب استفعال، باب انفعال etc.
Offers full interface and output in
Urdu, English, and Arabic
Integrates rule-based NLP logic to model triliteral verb roots
with pattern-based transformations
Automatically generates Urdu translations using
morphology-aware translation patterns
Includes an
Online Exam Generator
to create practice worksheets for students with or without
answers (ideal for madrassah & school use)
Exam sheets can be downloaded for offline revision or classroom
printing
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.
Easy Quran wa Hadees
– A groundbreaking initiative and one of the
first Urdu Unicode-based Quran and Hadith platforms in
Pakistan. As a pioneer developer, I led the transformation
of classical Islamic texts into a digital, Unicode-compliant
format—setting a new benchmark in Islamic digitization.
Provides the complete Quran with authentic translations in
Urdu, English, and Arabic
Includes key Hadith collections like Sahih Bukhari,
Muslim, Abu Dawood, and more
Uses early
NLP and intelligent indexing techniques for
fast, root-based and keyword search
Offers advanced filters for Hadith search by narrator, topic, or
source
Audio playback support for Quranic recitation and memorization
Features bookmarking, note-taking, and tagging capabilities
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
– A comprehensive Hadith research platform designed for
Urdu-speaking audiences, offering easy access to authenticated
Hadith books with cutting-edge digital tools for exploration,
referencing, and learning.
Includes major Hadith books, including Sahih
Bukhari, Sahih Muslim, Abu Dawood, Tirmidhi, Nasai, Ibn Majah,
and Muwatta
Equipped with advanced full-text search that
works across Arabic and Urdu translations
Allows filtering by
book, subject, chapter, narrator, or Hadith number
Offers parallel Arabic and Urdu rendering for
each Hadith
Integrated with Fiqh-based categorization and
references to facilitate deeper learning and contextual
understanding
Continuously updated with
editorial corrections and scholarly cross-referencing
Shareable links to every Hadith and the ability to bookmark for
future research
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.
Tanzeem Islami Digital Library
– A pioneering content digitization project that transformed
classical Islamic literature—originally authored in Urdu and typeset
in InPage—into modern, searchable Unicode format. This initiative
laid the foundation for preserving Islamic scholarship through
technology.
Digitized and indexed a vast collection of books by
Islami thinkers, scholars, and reformers
Utilized early
InPage-to-Unicode conversion pipelines to make
printed books digitally searchable
Enables full-text search across books by
keyword, topic, author, or chapter
Supported by backend NLP tools for content
tagging and semantic classification
Offers both web-based browsing and categorized downloadable
content (PDF + Unicode HTML)
Public access to rare Islamic literature previously locked in
print archives
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.
Advancing AI, NLP & LLM Solutions
I lead the development of intelligent language systems powered by Large Language Models (LLMs) and advanced retrieval mechanisms, applying state-of-the-art AI research to real-world applications.
Large Language Model (LLM) Solutions
Fine-tuned GPT-based models for text summarization, generation, and multi-turn conversations
Implemented Named Entity Recognition (NER), classification, and topic modeling using transformer architectures
Designed zero-shot and few-shot learning pipelines to support under-resourced languages like Arabic and Urdu
Built modular RAG systems combining retrieval pipelines with LLMs to deliver accurate, real-time responses
Integrated vector databases for semantic search and contextual relevance
Developed NLP solutions for diverse sectors including law, education, healthcare, and enterprise services
AI System Deployment
Integrated cloud services such as AWS (S3, Lambda, Textract, SageMaker) and Azure ML pipelines
Led agile teams of developers and QA for rapid prototyping and production-grade deployment
Utilized Docker, FastAPI, and scalable Python architectures for NLP APIs
I also apply AI to Arabic morphology and morpheme-level analysis to develop tools that assist in classical Arabic understanding, such as pattern-based conjugation, morphological tagging, and root extraction.
These innovations bring together AI research and production-ready NLP systems to solve complex language problems and deliver meaningful impact across industries.
📱 Mobile Apps – Qur’anic Tech in Your Pocket
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.
The Noble Quran
– Official app featuring
Mufti Taqi Usmani’s authoritative English translation
of the Qur’an. Designed for students, scholars, and general readers
seeking clarity and depth in Qur’anic interpretation.
Complete English translation enriched with explanatory footnotes
based on classical Tafsir sources
Regex-based Arabic search functionality for advanced users to
explore verse patterns and linguistic structures
Streamlined verse-by-verse navigation and modern reading
experience
Offline readability, bookmarking, and search history tracking
Widely used by scholars, researchers, and institutes as a
reliable digital resource
Tazkeer-ul-Quran (Android App)
– A lightweight, modern Qur’anic reflection tool featuring
topic-based verse collections, multilingual translations, and a
clean user interface.
Explore categorized themes and Qur’anic wisdom through
handpicked verses
Multilingual support: Urdu, English, Sindhi, Pashto, and Hindi
Smart search engine allows searching in any language supported
in the app
Bookmark functionality for saving favorite verses
Designed for both general users and advanced learners
Seerat Quiz App
– A fun and engaging Islamic quiz app focused on the
Seerat (biography) of Prophet Muhammad ﷺ, specially
designed for kids and school-going learners.
Built for children and beginners to explore the Seerah in an
interactive way
Multiple-choice questions to reinforce learning about the life
of the Prophet ﷺ
Child-friendly interface with easy navigation and visual
engagement
Ideal for
Islamic schools, homeschooling, and weekend
madrassahs
Score-based system to encourage progress and retention
Lightweight, responsive, and crafted for mobile-first usage
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.
Tuheed (توَحید) App
– A mobile presentation of the classic Islamic work
"وجود باری تعالیٰ اور توحید" by
Professor Dr. Malik Ghulam Murtaza (PhD). This app
brings the essential doctrine of
Tawheed (Monotheism) to readers in a clean, digital
experience.
Covers the true meaning of Tawheed: the oneness of Allah in His
being, attributes, and actions — without partner, peer, or need
Explains Allah’s exclusive authority using
Qur'anic verses, rational proofs, and classical
definitions
Includes citations like Surah Al-Ikhlas and definitions from
scholars such as Imam Al-Jurjani
Built from digitized content developed during my early work in
Urdu Islamic content digitization projects
Urdu-language app with smooth navigation and offline readability
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.
Publications
Automated Generation of Arabic Verb Conjugations with
Multilingual Urdu Translation: An NLP Approach
– AbjadNLP 2025 Workshop, COLING Authors: Haq Nawaz (COMSATS University, Pakistan), Manal Elobaid
(Qatar University), Ali al-Laith (Copenhagen University), Saif
Ullah (ILI.digital, Pakistan) Read Paper (ACL Anthology)
Arabic Natural Language Processing for Qur’anic Research: A
Systematic Review
– Artificial Intelligence Review, 2023
Authors: Muhammad Huzaifa Bashir (Information Technology
University, Pakistan), Aqil M. Azmi (King Saud University, Saudi
Arabia), Haq Nawaz (Jamia Ashrafia & PUCIT, Pakistan), Wajdi
Zaghouani (Hamad Bin Khalifa University, Qatar), Mona Diab (George
Washington University, USA), Ala Al‑Fuqaha (HBKU, Qatar), Junaid
Qadir (Qatar University) Read on Springer
Stars at Qur’an QA 2022: Building Automatic Extractive Question
Answering Systems for the Holy Qur’an with Transformer Models and
Releasing a New Dataset
– Qur'an QA Shared Task, OSACT Workshop, LREC 2022
Authors: Ahmed Wasfey (Tactful AI), Eman Elrefai (BambooGeeks),
Marwa Muhammad (Freelancer), Haq Nawaz (PUCIT) Read on ACL Anthology
Sentimental Analysis of Social Media to Find Out Customer
Opinion Intelligent Technologies and Applications, 2019 Read on Springer
Development of AI-Based System for Teaching Classical Arabic &
Qur’anic Vocabularies QURANICA – International Journal of Quranic Research, 2018 Read on UM Journal
Data Set Generation for the Attributes of the Words of the Holy
Quran Taibah University Conference, 2013 Read on IEEE Xplore
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:
Automated صرف (morphology) generation in Arabic
Multilingual output: Arabic, Urdu, and English interface
NLP-inspired pattern recognition and root-based transformation
Downloadable exams for student practice
This award recognized the project's excellence in applying
cutting-edge technology to traditional Islamic education and
showcased its relevance at the national level.
🏆 NLP Research Award – NaSCon 2019 (FAST-NUCES)
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:
Tagging and annotating over 80,000+ Quranic words
Marking
23 detailed linguistic attributes per word
including root, tense, gender, case, mood, and more
Multi-language annotation:
Arabic, Urdu, and English
Over 5.4 million total attribute labels across
the entire corpus
Designed for advanced NLP research, educational tools, and
AI-based Quranic analysis
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.
