Muhammad Aleem

About Muhammad Aleem

Muhammad Aleem, With an exceptional h-index of 18 and a recent h-index of 18 (since 2020), a distinguished researcher at National University of Computer and Emerging Sciences, specializes in the field of Parallel Computing, Cloud and Fog Computing, Scheduling and Resource Management, Cyber-threat Analysis.

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

A 218 GOPS Neural Network Accelerator based on a Novel Cost-Efficient Surrogate Gradient Scheme for Pattern Classification

Cybersecurity for autonomous vehicles against malware attacks in smart-cities

CA‐MLBS: content‐aware machine learning based load balancing scheduler in the cloud environment

Evaluation and classification of obfuscated Android malware through deep learning using ensemble voting mechanism

TTECCDU: a blockchain-based approach for expressive authorization management

RThreatDroid: A Ransomware Detection Approach to Secure IoT Based Healthcare Systems

On the evaluation of android malware detectors against code-obfuscation techniques

AndroMalPack: enhancing the ML-based malware classification by detection and removal of repacked apps for Android systems

Muhammad Aleem Information

University

Position

Professor at

Citations(all)

1094

Citations(since 2020)

1028

Cited By

360

hIndex(all)

18

hIndex(since 2020)

18

i10Index(all)

35

i10Index(since 2020)

32

Email

University Profile Page

National University of Computer and Emerging Sciences

Google Scholar

View Google Scholar Profile

Muhammad Aleem Skills & Research Interests

Parallel Computing

Cloud and Fog Computing

Scheduling and Resource Management

Cyber-threat Analysis

Top articles of Muhammad Aleem

Title

Journal

Author(s)

Publication Date

A 218 GOPS Neural Network Accelerator based on a Novel Cost-Efficient Surrogate Gradient Scheme for Pattern Classification

Microprocessors and Microsystems

Muhammad Arshad Islam Ali Siddique

Muhammad Azhar Iqbal

Muhammad Aleem

2023

Cybersecurity for autonomous vehicles against malware attacks in smart-cities

Cluster Computing

Sana Aurangzeb

Muhammad Aleem

Muhammad Taimoor Khan

Haris Anwar

Muhammad Shaoor Siddique

2023/10/3

CA‐MLBS: content‐aware machine learning based load balancing scheduler in the cloud environment

Expert Systems

Muhammad Adil

Said Nabi

Muhammad Aleem

Vicente Garcia Diaz

Jerry Chun‐Wei Lin

2023/5

Evaluation and classification of obfuscated Android malware through deep learning using ensemble voting mechanism

Scientific Reports

Sana Aurangzeb

Muhammad Aleem

2023/2/22

TTECCDU: a blockchain-based approach for expressive authorization management

PeerJ Computer Science

Uzma Mahar

Muhammad Aleem

Ehtesham Zahoor

2023/2/20

RThreatDroid: A Ransomware Detection Approach to Secure IoT Based Healthcare Systems

IEEE Transactions on Network Science and Engineering

Muhammad Junaid Iqbal

Sana Aurangzeb

Muhammad Aleem

Gautam Srivastava

Jerry Chun-Wei Lin

2022/7/5

On the evaluation of android malware detectors against code-obfuscation techniques

PeerJ Computer Science

Umair Nawaz

Muhammad Aleem

Jerry Chun-Wei Lin

2022/6/21

AndroMalPack: enhancing the ML-based malware classification by detection and removal of repacked apps for Android systems

Scientific Reports

Husnain Rafiq

Nauman Aslam

Muhammad Aleem

Biju Issac

Rizwan Hamid Randhawa

2022/11/14

ML-DDoS: A Blockchain-Based Multilevel DDoS Mitigation Mechanism for IoT Environments

IEEE Transactions on Engineering Management

Rana Faisal Hayat

Sana Aurangzeb

Muhammad Aleem

Gautam Srivastava

Jerry Chun-Wei Lin

2022/5/13

Utilizing power consumption and SLA violations using dynamic VM consolidation in cloud data centers

Umer Arshad

Muhammad Aleem

Gautam Srivastava

Jerry Chun-Wei Lin

2022/10/1

RADL: a resource and deadline‑aware dynamic load‑balancer for cloud tasks

The Journal of Supercomputing

Said Nabi

Muhammad Aleem

Masroor Ahmed

Muhammad Arshad Islam

Muhammad Azhar Iqbal

2022/3

BigRC-EML: Big-data based ransomware classification using ensemble machine learning

Cluster Computing

Sana Aurangzeb

Haris Anwar

Muhammad Asif Naeem

Muhammad Aleem

2022/10

On the Performance and Scalability of Simulators for Improving Security and Safety of Smart Cities

Ali Mohsin

Sana Aurangzeb

Muhammad Aleem

Muhammad Taimoor Khan

2022/9/6

A high-performance, hardware-based deep learning system for disease diagnosis

PeerJ Computer Science

Ali Siddique

Muhammad Azhar Iqbal

Muhammad Aleem

Jerry Chun-Wei Lin

2022/7

A Machine-Learning-Based System for Prediction of Cardiovascular and Chronic Respiratory Diseases

Journal of Healthcare Engineering

Jerry Chun-Wei Lin Wajid Shah

Muhammad Aleem

Muhammad Azhar Iqbal

Muhammad Arshad Islam

Usman Ahmed

...

2021/11

A3-Storm: topology-, traffic-, and resource-aware storm scheduler for heterogeneous clusters

The Journal of Supercomputing

Asif Muhammad

Muhammad Aleem

2021/2

FusionCL: a machine-learning based approach for OpenCL kernel fusion to increase system performance

Computing

Yasir Noman Khalid

Muhammad Aleem

Usman Ahmed

Radu Prodan

Muhammad Arshad Islam

...

2021/6/3

A load balance multi-scheduling model for OpenCL kernel tasks in an integrated cluster

Soft Computing

Usman Ahmed

Jerry Chun-Wei Lin

Gautam Srivastava

Muhammad Aleem

2021/1

BAN-storm: a bandwidth-aware scheduling mechanism for stream jobs

Journal of Grid Computing

Asif Muhammad

Muhammad Aleem

2021/9

TOP-Storm: A topology-based resource-aware scheduler for Stream Processing Engine

Cluster Computing

Asif Muhammad

Muhammad Aleem

Muhammad Arshad Islam

2021/3

See List of Professors in Muhammad Aleem University(National University of Computer and Emerging Sciences)

Co-Authors

H-index: 53
Thomas Fahringer

Thomas Fahringer

Universität Innsbruck

H-index: 50
Radu Prodan

Radu Prodan

Alpen-Adria-Universität Klagenfurt

H-index: 17
Muhammad Arshad Islam

Muhammad Arshad Islam

National University of Computer and Emerging Sciences

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