3 citations · 5 across the 10 of their papers we have counts for
11 papers
From Product-Centred Retrieval to Experience-Led Commerce:Twelve Candidate Design Principles for Fashion E-Commerce User Experience
Nafiul I. Khan, Mansura Habiba, Rafflesia Khan
This paper proposes twelve candidate Experience-Led Commerce design principles for high-constraint, relational fashion e-commerce, surfaced through design-led induction while build…
A Gossip-Enhanced Communication Substrate for Agentic AI: Toward Decentralized Coordination in Large-Scale Multi-Agent Systems
Nafiul I. Khan, Mansura Habiba, Rafflesia Khan
As agentic platforms scale, agents are moving beyond fixed roles and predefined toolchains, creating an urgent need for flexible and decentralized coordination. Current structured…
AGENTSAFE: A Unified Framework for Ethical Assurance and Governance in Agentic AI
Rafflesia Khan, Declan Joyce, Mansura Habiba
The rapid deployment of large language model (LLM)-based agents introduces a new class of risks, driven by their capacity for autonomous planning, multi-step tool integration, and…
Revisiting Gossip Protocols: A Vision for Emergent Coordination in Agentic Multi-Agent Systems
Mansura Habiba, Nafiul I. Khan
As agentic platforms scale, agents are evolving beyond static roles and fixed toolchains, creating a growing need for flexible, decentralized coordination. Today's structured commu…
Recent Trends in Modelling the Continuous Time Series using Deep Learning: A Survey
Mansura Habiba, Barak A. Pearlmutter, Mehrdad Maleki
Continuous-time series is essential for different modern application areas, e.g. healthcare, automobile, energy, finance, Internet of things (IoT) and other related areas. Differen…
ECG synthesis with Neural ODE and GAN models
Mansura Habiba, Eoin Brophy, Barak A. Pearlmutter +1
Continuous medical time series data such as ECG is one of the most complex time series due to its dynamic and high dimensional characteristics. In addition, due to its sensitive na…
Continuous Convolutional Neural Networks: Coupled Neural PDE and ODE
Mansura Habiba, Barak A. Pearlmutter
Recent work in deep learning focuses on solving physical systems in the Ordinary Differential Equation or Partial Differential Equation. This current work proposed a variant of Con…
Neural Network based on Automatic Differentiation Transformation of Numeric Iterate-to-Fixedpoint
Mansura Habiba, Barak A. Pearlmutter
This work proposes a Neural Network model that can control its depth using an iterate-to-fixed-point operator. The architecture starts with a standard layered Network but with adde…
HeunNet: Extending ResNet using Heun's Methods
Mehrdad Maleki, Mansura Habiba, Barak A. Pearlmutter
There is an analogy between the ResNet (Residual Network) architecture for deep neural networks and an Euler solver for an ODE. The transformation performed by each layer resembles…
Neural ODEs for Informative Missingness in Multivariate Time Series
Mansura Habiba, Barak A. Pearlmutter
Informative missingness is unavoidable in the digital processing of continuous time series, where the value for one or more observations at different time points are missing. Such…
Neural Ordinary Differential Equation based Recurrent Neural Network Model
Mansura Habiba, Barak A. Pearlmutter
Neural differential equations are a promising new member in the neural network family. They show the potential of differential equations for time series data analysis. In this pape…