Qublai Khan Ali Mirza

University of Gloucestershire

H-index: 6

Europe-United Kingdom

About Qublai Khan Ali Mirza

Qublai Khan Ali Mirza, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at University of Gloucestershire, specializes in the field of Cyber Security, Networks, Malware Analysis, Malware Detection, Enterprise Networks.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Deep Learning based Scalable and Adaptive Feature Extraction Framework for Medical Images

Enhancing cryptocurrency price forecasting accuracy: A feature selection and weighting approach with bi-directional LSTM and trend-preserving model bias correction

How to punish cyber criminals: A study to investigate the target and consequence based punishments for malware attacks in UK, USA, China, Ethiopia & Pakistan

A Novel and Adaptive Evaluation Mechanism for Deep Learning Models in Medical Imaging and Disease Recognition

From Mushroom-Peaches to Disease Prediction: Deep Learning Approaches

Modern Stylometry: A Review & Experimentation with Machine Learning

Ransomware analysis using cyber kill chain

An intelligent and time-efficient DDoS identification framework for real-time enterprise networks: SAD-F: Spark based anomaly detection framework

Qublai Khan Ali Mirza Information

University	University of Gloucestershire
Position	Senior Lecturer/Researcher
Citations(all)	264
Citations(since 2020)	224
Cited By	119
hIndex(all)	6
hIndex(since 2020)	6
i10Index(all)	4
i10Index(since 2020)	3
Email	Access Email
University Profile Page	University of Gloucestershire
Google Scholar	View Google Scholar Profile

Qublai Khan Ali Mirza Skills & Research Interests

Cyber Security

Networks

Malware Analysis

Malware Detection

Enterprise Networks

Top articles of Qublai Khan Ali Mirza

Title	Journal	Author(s)	Publication Date
A Deep Learning based Scalable and Adaptive Feature Extraction Framework for Medical Images	Information Systems Frontiers	Zainab Loukil Qublai Khan Ali Mirza Will Sayers Irfan Awan	2023/7/24
Enhancing cryptocurrency price forecasting accuracy: A feature selection and weighting approach with bi-directional LSTM and trend-preserving model bias correction	IEEE Access	Muhammed Rafi Sufian Hameed Izaan Sohail Maria Aliasghar Arisha Aziz ...	2023/6/20
How to punish cyber criminals: A study to investigate the target and consequence based punishments for malware attacks in UK, USA, China, Ethiopia & Pakistan	Heliyon	Nadia Khadam Nasreen Anjum Abu Alam Qublai Ali Mirza Muhammad Assam ...	2023/12/1
A Novel and Adaptive Evaluation Mechanism for Deep Learning Models in Medical Imaging and Disease Recognition		Zainab Loukil Qublai Khan Ali Mirza Will Sayers	2023/8/14
From Mushroom-Peaches to Disease Prediction: Deep Learning Approaches		Zainab Loukil Qublai Khan Ali Mirza	2022/8/22
Modern Stylometry: A Review & Experimentation with Machine Learning		Connagh Muldoon Ahsan Ikram Qublai Ali Khan Mirza	2021/8/23
Ransomware analysis using cyber kill chain		Qublai K Ali Mirza Martin Brown Oliver Halling Louie Shand Abu Alam	2021/8/23
An intelligent and time-efficient DDoS identification framework for real-time enterprise networks: SAD-F: Spark based anomaly detection framework	IEEE Access	Awais Ahmed Sufian Hameed Muhammad Rafi Qublai Khan Ali Mirza	2020/12/7