I am a Computer Science researcher and AI/ML engineer focused on building secure, explainable, and practical AI systems.

My research interests include:

• Artificial Intelligence and Machine Learning
• Cybersecurity and IoT Security
• Digital Twins
• Explainable and Trustworthy AI
• Computer Vision and 3D Reconstruction
• Natural Language Processing
• Large Language Models and Generative AI
• Multimodal and Medical AI

I have hands-on experience in deep learning, dataset engineering, model evaluation, computer vision, NLP, digital twins, and AI-powered applications.

My current research focuses on cost-aware and confidence-gated IoT intrusion response, explainable AI, digital-twin security, multimodal learning, and responsible AI systems.

Cost-Aware Uncertainty Gating for Digital Twin-Based IoT Intrusion

Submitted to FIT'26 — Track: Cyber Security and Digital Forensics.

A research framework focused on cost-aware uncertainty gating for digital-twin-based IoT intrusion management.

Confidence- and Explanation-Gated Digital Twin Response for IoT Intrusion Handling

Submitted to FIT'26 / ICETCONF2026.

Investigates confidence- and explanation-gated response mechanisms for digital-twin-enabled IoT security.

Comparative Analysis of OpenPose, COCO, and MPI Models for Depth Estimation from 2D Human Images

• OpenPose COCO: 92.3% accuracy
• MPI: 89.7% accuracy
• MPI: 14.3% faster inference
• MPI: 16.7% lower memory usage

Research focused on monocular depth estimation and human pose-based computer vision.

Crop Disease Detection Using ResNet50: A Deep Learning Approach for Agricultural Intelligence with Explainable AI

• 20,638 images
• 15 disease classes
• ResNet50-based architecture
• Explainable AI integration
• 90.09% test accuracy
• 90.06% validation accuracy

Synthetic dataset engineering and multi-output garment measurement prediction.

• 50,000+ records
• Random Forest
• XGBoost
• LightGBM
• Stacking models
• Body and garment measurement prediction

Interactive digital twin of a Lahore power-distribution feeder integrating:

• Live MQTT telemetry
• Asset KPIs
• Fault diagnostics
• PRECON and NILM analytics
• IEEE 13-bus power flow
• DGA oil-gas analysis
• GNN-LSTM forecasting
• Outage and UPS simulation
• Mitigation-impact comparison
• Research report generation

Live Demo

AI-powered fashion technology platform combining:

• AI garment-size prediction
• 3D virtual try-on
• Personalized avatars
• Recommendation chatbot
• Seller studio
• 2D-to-3D product conversion
• PIFuHD fine-tuning

Presented at the Lahore Chamber of Commerce and Industry (LCCI).

Live Demo

Explainable crop disease detection system using:

• ResNet50
• Transfer learning
• Grad-CAM
• FastAPI
• 20,638 images
• 15 crop disease classes

Performance:

90.09% Accuracy | 88.41% Precision | 89.18% Recall | 88.73% F1

Presented at the 19th International Agri Asia & Green Pakistan Exhibition and Conference.

Interactive educational coding platform featuring:

• Weekly programming exercises
• Skill-based XP
• Live 3D program visualization
• Run, Pause, Next, and Replay controls
• Classroom and self-paced learning

Live Demo

University of Central Punjab — Lahore, Pakistan

Bachelor of Science in Computer Science

2022–2026

CGPA: 3.23 / 4.00

Computer Vision | NLP | LLMs | Multimodal AI | Explainable AI | Medical AI

• ResNet50
• OpenPose
• LSTM
• GPT-2
• Llama 3.1 / 3.2
• LaBSE
• mDeBERTa-v3

• PostgreSQL
• Git
• Jupyter Notebook
• VS Code
• Dataset Engineering
• Model Evaluation

• Exhibitor Certificate — 19th International Agri Asia & Green Pakistan Exhibition and Conference
• Project Presentation Certificate — Lahore Chamber of Commerce and Industry (LCCI)
• MATLAB Onramp — MathWorks
• Creative and Critical Thinking — IBM / Coursera
• IEEE CodeX Event — Bahria University Lahore

• AI and ML Research Publications
• Digital Twin Security
• IoT Intrusion Detection
• Explainable and Trustworthy AI
• 3D Computer Vision
• Generative AI and LLMs
• Conversational AI
• Multimodal and Medical AI

I am open to:

• Research collaborations
• Publication-oriented projects
• AI/ML product development
• Cybersecurity research
• Digital Twin research
• Computer Vision projects
• NLP and LLM research

If you are working on an interesting problem in AI, Machine Learning, Cybersecurity, Digital Twins, Computer Vision, NLP, or Generative AI, feel free to connect with me.

LinkedIn | GitHub | Email | Portfolio

If you find my work interesting, consider following or starring my repositories.