11 citations · 26 across the 13 of their papers we have counts for
13 papers
Towards Quantum Network Performance Metrics: Challenges and Demonstration
Mohamed Shaban, Mariam Kiran, Muhammad Ismail
As quantum networks move toward practical deployment, standardized performance monitoring becomes essential. This article proposes a structured monitoring framework for quantum net…
Advancing Anomaly Detection in Computational Workflows with Active Learning
Krishnan Raghavan, George Papadimitriou, Hongwei Jin +4
A computational workflow, also known as workflow, consists of tasks that are executed in a certain order to attain a specific computational campaign. Computational workflows are co…
5G Network Security Practices: An Overview and Survey
Fatema Bannat Wala, Mariam Kiran
This document provides an overview of 5G network security, describing various components of the 5G core network architecture and what kind of security services are offered by these…
The LBNL Superfacility Project Report
Deborah Bard, Cory Snavely, Lisa Gerhardt +24
The Superfacility model is designed to leverage HPC for experimental science. It is more than simply a model of connected experiment, network, and HPC facilities; it encompasses th…
HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization
Vincent Dumont, Casey Garner, Anuradha Trivedi +6
We present a new software, HYPPO, that enables the automatic tuning of hyperparameters of various deep learning (DL) models. Unlike other hyperparameter optimization (HPO) methods,…
Mining Scientific Workflows for Anomalous Data Transfers
Huy Tu, George Papadimitriou, Mariam Kiran +4
Modern scientific workflows are data-driven and are often executed on distributed, heterogeneous, high-performance computing infrastructures. Anomalies and failures in the workflow…
Towards AI-enabled Control for Enhancing Quantum Transduction
Mekena Metcalf, Anastasiia Butko, Mariam Kiran
With advent of quantum internet, it becomes crucial to find novel ways to connect distributed quantum testbeds and develop novel technologies and research that extend innovations i…
Dynamic Graph Neural Network for Traffic Forecasting in Wide Area Networks
Tanwi Mallick, Mariam Kiran, Bashir Mohammed +1
Wide area networking infrastructures (WANs), particularly science and research WANs, are the backbone for moving large volumes of scientific data between experimental facilities an…
Do optimization methods in deep learning applications matter?
Buse Melis Ozyildirim, Mariam Kiran
With advances in deep learning, exponential data growth and increasing model complexity, developing efficient optimization methods are attracting much research attention. Several i…
Technical Report on Deploying a highly secured OpenStack Cloud Infrastructure using BradStack as a Case Study
Bashir Mohammed, Sibusiso Moyo, K. M Maiyama +4
Cloud computing has emerged as a popular paradigm and an attractive model for providing a reliable distributed computing model.it is increasing attracting huge attention both in ac…
Converting a Systems Dynamic Model to an Agent-based model for studying the Bicoid morphogen gradient in Drosophila embryo
Mariam Kiran, Wei Liu
The concentration gradient of the Bicoid morphogen, which is established during the early stages of a Drosophila melanogaster embryonic development, determines the differential spa…
Experimental Report on Setting up a Cloud Computing Environment at the University of Bradford
Bashir Mohammed, Mariam Kiran
Cloud computing is increasingly attracting large attention in computing both in academic research and in industrial initiatives. Emerging as a popular paradigm and an attractive mo…
Using FLAME Toolkit for Agent-Based Simulation: Case Study Sugarscape Model
Mariam Kiran
Social scientists have used agent-based models to understand how individuals interact and behave in various political, ecological and economic scenarios. Agent-based models are ide…