Computer Scientist | AI Enthusiast | Educator | Innovator

👋 Hi there! I'm Hassan Ahmed, a passionate Computer Science Researcher and Instructor at FAST-National University of Computer and Emerging Sciences, CFD Campus, Pakistan. I hold a Master's degree in Computer Science with a deep fascination for Artificial Intelligence, Deep Learning, Explainable AI (XAI), Cybersecurity, Network Security, Natural Language Processing, and Large Language Models.

My mission is to develop secure, transparent, and reliable AI models that can be trusted in high-impact domains such as smart cities, healthcare, autonomous systems, and digital security. I focus on bridging theory and application by integrating advanced machine learning methods with practical solutions for real-world challenges.

Beyond research and teaching, I am passionate about mentoring students in computer science, AI, and cybersecurity, guiding them in their journey toward impactful innovations.

1. 🚀 Skills & Expertise
2. 💼 Professional Experience
3. 🎓 Education
4. 📝 Publications
5. 🌐 Conferences & Research
6. 💻 Projects
7. 📚 Certifications & Training
8. 🌟 Volunteering & Leadership
9. 🏆 Awards & Achievements

• Programming Languages: Python, C++, SQL
• Data Science & ML Libraries: NumPy, Pandas, Scikit-learn, XGBoost
• Deep Learning Frameworks: TensorFlow, Keras, PyTorch
• NLP & LLMs: Hugging Face Transformers, LangChain, NLTK, SpaCy
• Explainability Tools: LIME, SHAP
• Computer Vision & Medical Imaging: OpenCV, MONAI, SimpleITK
• ML Techniques: Transfer Learning, Fine-tuning, Prompt Engineering, Model Deployment, Explainable AI
• Research Tools: LaTeX, EndNote, Edraw Max, Mendeley, Covidence
• Development Tools: Jupyter Notebook, Kaggle, Google Colab, Anaconda, GitHub
• Networking & Security: Wireshark, Cisco Packet Tracer
• Office & Design: MS Office, MS Access, MS Visio
• Operating Systems: Windows, Linux

• Problem Solving | Critical Thinking | Team Collaboration | Mentorship | Public Speaking

FAST-National University of Computer and Emerging Sciences, CFD Campus, Pakistan
August 2024 – Present

• Instructed and mentored undergraduate students in lab sessions and lectures
• Courses Taught: Programming Fundamentals, Operating Systems, Computer Networks, IT in Business
• Member of departmental course folder review panel and committee for NCEAC
• Member of the Organizing Committee for ICIT 2026

University of Wah, Wah Cantt, Pakistan
November 2022 – June 2024

• Conducted labs for Database Systems, Database Applications, and Applications of ICT
• Assisted in Outcome-Based Education (OBE) curriculum development and materials preparation
• Contributed to departmental administrative tasks and projects

Pakistan Ordnance Factories, Wah Cantt
July 2022 – October 2022

• Gained hands-on experience with database management and MySQL
• Analyzed network topologies and assisted in the implementation of network protocols
• Delivered presentations on ongoing projects, effectively communicating technical concepts

University of Wah, Wah Cantt, Pakistan
2022 – 2024 | CGPA: 3.46/4.0

• Thesis: DeepCAN: A Robust Deep Learning Framework for CAN Intrusion Detection in Autonomous Vehicles
• Supervisor: Professor Dr. Wazir Zada Khan
• Coursework: Advanced Network Security, Information Security, Advanced Image Processing, Advanced Machine Learning, Research Methodologies, Advanced Operating Systems

COMSATS University Islamabad, Wah Campus, Pakistan
2018 – 2022 | CGPA: 3.01/4.0

• Final Year Project: Development of a First-Person Shooter Game using Unity Engine
• Supervisor: Ms. Mehwish Mukhtar
• Coursework: Artificial Intelligence, Linear Algebra, Data Structures and Algorithms, Machine Learning, Introduction to Data Science, Human-Computer Interaction, Statistics and Probability Theory

[C.1] Hassan Jari, Hassan Ahmed, Hareem Kibriya, Wazir Zada Khan, Ali Tahir. An Ensemble Deep Learning Framework for Autonomous Vehicle Attack Detection. In Proceedings of the 2025 International Conference on Emerging Technologies in Electronics, Computing, and Communication (ICETECC), Jamshoro, Pakistan, 23–25 April 2025, IEEE, DOI: 10.1109/ICETECC65365.2025.11070228.

[S.1] Hassan Ahmed, Abdullah Khan, Azhar Mahmood, Jibran Mir, Sohaib Ahmed. CAN You Need More Attention? CANformer-XL: Long-Context Intrusion Detection in Controller Area Networks Using Transformer-XL. Submitted to Expert Systems With Applications by Elsevier.

[S.2] Abdullah Khan, Arooj Fatima, Ridda Jameel, Hassan Ahmed, Aini Saba. Enhancing Social Media Bot Detection with Cross-Feature Gating and Residual Learning. Submitted to ICCK Transactions on Emerging Topics in Artificial Intelligence.

[IP.1] Hassan Ahmed, Abdullah Khan, Ridda Jamil. Intrusion Detection System for UAVs.

[IP.2] Abdullah Khan, Hassan Ahmed. Jailbreak Attacks on LLMs: Empirical Study and Defense Mechanism.

[IP.3] Hassan Ahmed & Imane Guellil. Systematic Literature Review on Multimodal AI Methods for Alzheimer's Disease Detection.

• International Conference on IT and Industrial Technologies
  FAST-National University of Computer and Emerging Sciences, CFD Campus, Pakistan | 10-12 Dec 2024

• International Conference on Artificial Intelligence and Green Computing
  Campus Mghilla, Beni Mellal, Morocco | 14-16 May 2025

• 4th International Conference on Smart Plant Protection 2024
  MNS-University of Agriculture, Multan, Pakistan | 30-31 Oct 2024

  • Presented: AgriGuard: A Novel Deep Learning Approach for Pest Detection and Classification

• 2nd International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC 2025)
  Mehran University of Engineering & Technology, Jamshoro, Sindh, Pakistan | 23-25 April 2025

  • Presented: An Ensemble Deep Learning Framework for Autonomous Vehicle Attack Detection

• 8th Multi-Disciplinary Student Research International Conference
  University of Wah, Wah Cantt | 06-07 Dec 2023

• Leaders' Conference on AI in Education and Institutional Leadership
  FAST-National University of Computer and Emerging Sciences, CFD Campus, Pakistan | 25-26 June 2025

• 5th Pak-Turk International Conference on Emerging Technologies in the Field of Sciences and Engineering
  University of Wah, Wah Cantt | 02 Dec 2022

• 7th Multi-Disciplinary Student Research International Conference
  University of Wah, Wah Cantt | 29-30 Nov 2022

Tools: Kaggle, Python, Keras, TensorFlow, Pandas, NumPy, Scikit-learn, Matplotlib

• Developed a deep learning-based Intrusion Detection System (IDS) for Controller Area Network (CAN) to enhance security of In-Vehicle Networks (IVNs) in Autonomous Vehicles
• Achieved 94.52% classification accuracy, outperforming existing methods in accuracy and F1-score
• Detects and classifies impersonation, fuzzy, and denial-of-service (DoS) attacks
• Applied Explainable AI (XAI) methods using LIME for interpretability in IDS decision-making

Tools: Kaggle, Python, NumPy, Pandas, TensorFlow, Scikit-learn, Matplotlib, OpenCV, Seaborn

• Developed a pest image classification system for agricultural pest detection, enabling early intervention
• Implemented Deep CNN achieving 90.00% accuracy, improving detection efficiency
• Created a deep learning pipeline with data augmentation and transfer learning for improved generalization
• Applied confusion matrix and classification reports to optimize the classification process

Tools: Kaggle, Python, PyTorch, NumPy, Pandas, NLTK, JiWER, Matplotlib

• Developed a Seq2Seq-based transliteration system to convert Urdu text into Roman Urdu
• Implemented BiLSTM encoder and multi-layer LSTM decoder architecture for character-level dependencies
• Achieved BLEU score of 0.6943, perplexity of 1.1687, and character error rate of 0.0997
• Trained on a custom parallel Urdu–Roman Urdu dataset with tokenization and teacher forcing

Tools: Python, Pandas, NumPy, Seaborn, Matplotlib, Scikit-Learn

• Developed breast cancer prediction model achieving 94-98% accuracy
• Implemented data preprocessing and feature selection for thousands of patient records
• Created correlation heatmaps and distribution plots for enhanced clinical interpretability
• Built a classification pipeline for integration with hospital decision-support systems

• Industrial Automation and Programmable Logic Controllers (PLCs) – FAST-NUCES (2025)
• Problem-Based Learning in OBE – FAST-NUCES (2024)
• Two-Day Teacher Training Workshop – FAST-NUCES (2024)
• Machine Learning, AI & Data Science – Government of Punjab, Pakistan (2024)
• Introduction to Generative AI – Google Cloud (2024)
• Introduction to Cybersecurity – CISCO Networking Academy (2022)
• Virtual Assistant – DigiSkills.pk (2022)
• Data Analytics & Business Intelligence – DigiSkills.pk (2022)
• Search Engine Optimization (SEO) – DigiSkills.pk (2022)
• E-Commerce Management – DigiSkills.pk (2022)

COMSATS University Islamabad, Wah Campus (Sep 2019 – June 2022)

• Organized and managed multiple blood donation camps in collaboration with Pakistan Red Crescent Society
• Successfully motivated students to participate, collecting 100+ pints per camp
• Provided support and assistance to donors, ensuring a positive experience

University of Wah (Oct 2023 – May 2024)

• Led documentation and coverage of various events and activities
• Managed a team of photographers, ensuring comprehensive event coverage
• Enhanced the institution's visibility through compelling visual storytelling

University of Wah (Oct 2022 – May 2024)

• Captured key moments at academic seminars, cultural festivals, and community initiatives

• Outstanding Contribution Award – All Pakistan Minorities Heritage Photo Contest (18th April 2023)
• 2-time Winner of Naat Competition - Inter-University Competition by Literary Society, UW - Oct 22 - May 24
• Winner of Naat Competition - National competition arranged by YPDC, UOC - 31st March, 2023
• Second Position in Naat Competition - National competition arranged by Pakistan National Arts Council - 25th Oct, 2023
• 3-time Winner of Naat Competition - Inter-University Competition at CUI, Wah Campus - Sep 18 - Dec 19
• 2-time Winner of Kalam e Iqbal Competition - Inter-University Competition at CUI, Wah Campus - Sep 18 - Dec 19
• Winner of Milli Naghma Competition - National competition arranged by FGEI (C/G) - 11 Nov, 2013
• Winner of Naat Competition - National competition arranged by FGEI (C/G) - 28th Oct, 2013

Photography: Passionate about visual storytelling through landscape, street, and portrait photography. View my work at: @snappy_786

Travelling & Adventure: Enjoy exploring new places and cultures, meeting people from diverse backgrounds, and learning from their traditions. These experiences enhance my creativity and communication skills.

Singing: Award-winning performer in national and inter-university Naat, National Song, and Kalam-e-Iqbal competitions.

I’m always excited to collaborate on innovative projects, share knowledge, and explore new opportunities in AI, data science, and cybersecurity. Feel free to reach out—let’s create something extraordinary together!

📧 Email: mianhassaan1166@gmail.com
🔗 LinkedIn: Hassan Ahmed
🎓 Google Scholar: Hassan Ahmed
📘 ResearchGate: Hassan Ahmed
🧩 ORCID: 0009-0008-4348-3360

“The best way to predict the future is to create it.” – Peter Drucker
Let’s build the future of AI and technology, one innovation at a time! 🚀