Model-level explanations for GNNs via reinforcement-learned graph generation on MUTAG.
Projects
🕸️ Graph & Topological ML 1
🎨 Generative AI & Vision 6
End-to-end real-time license plate detection and OCR pipeline with dual GUIs — one for security managers, one for drivers — built with PyTorch and Streamlit.
Adaptive Vision Transformer with dynamic token sparsification and halting for efficient image classification.
Browser-based real-time VLM inference — continuously captures webcam frames and feeds them to any OpenAI-compatible vision API with sub-second latency.
A deep learning application that classifies skin conditions from dermoscopic images using CNNs and LSTMs, supporting early diagnosis assistance.
A zero-shot framework for consistent style transfer in text-to-image generation — using minimal shared attention to propagate a reference style without fine-tuning.
CVPR 2025 workshop paper — a zero-shot framework for smooth multi-style image synthesis using Spherical Linear Interpolation in the latent space of diffusion models.
🤖 Robotics & Autonomous Systems 5
Autonomous mobile robot for indoor cleaning with navigation, obstacle avoidance, and task orchestration.
A simulation platform for developing and testing autonomous driving algorithms — using CNNs to map raw camera frames to steering and throttle commands.
Autonomous lunar rover navigation and interaction — winner of the TESP 2025 Competition.
MATLAB library for robotics simulations, kinematics, dynamics, control, and path planning.
A Flutter/Dart mobile app that connects university students for ride-sharing — schedule, match, and split commutes within the campus community.
🔬 Scientific & Healthcare ML 4
Physics-Informed Neural Networks for real-time temperature estimation via the Pennes Bio-Heat Equation, supporting hyperthermia therapy control.
An AI system for querying hospital environmental sensor data via natural language chat, generating real-time graphs, and triggering automated actions via LangChain and MQTT.
An in-depth study of clustering algorithms — from k-Means to DBSCAN and GMMs — applied to object tracking and image segmentation.
A real-time anomaly detection pipeline for 5G network telemetry, developed in collaboration with Hewlett Packard Enterprise (HPE).
⚙️ Software Engineering & Tools 10
End-to-end analysis and implementation of IT infrastructure (disaster recovery, smart working, fleet management) and a full ticketing system for an electric consultancy firm.
Classifies spam and ham emails using a Bidirectional LSTM — capturing both forward and backward temporal context in email text for high-accuracy filtering.
A full-stack web help desk for issue tracking and customer support — with ticket management, user authentication, and real-time status updates.
End-to-end smart home system — from a physical miniature house build to Arduino-powered sensors, automated routines, and a companion mobile app.
A full-stack Instagram-like photo sharing app — upload, explore, like, and comment — built with Vue.js frontend, Go REST API, and Docker deployment.
A Java library that models core Category Theory constructs — categories, functors, natural transformations — and demonstrates their practical role in software design.
A systematic exploration of ML pipeline optimisation — covering preprocessing, feature engineering, model selection, and hyperparameter tuning across multiple algorithms.
Optimising the Differentiable Search Index (DSI) with data augmentation and parameter-efficient fine-tuning (LoRA, QLoRA, AdaLoRA) — evaluated on MS MARCO.
Collects, analyses, and visualises PC performance metrics — then applies ML clustering to detect anomalies and performance degradation patterns.
Generate static, unlimited-use QR codes with custom styles, embedded icons, and optional captions — entirely in Python.