DR. SAJID MAHMOOD

About DR. SAJID MAHMOOD

DR. SAJID MAHMOOD, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at University of Management and Technology, specializes in the field of Data Mining, Text Analytics, Pattern Recognition, Bioinformatics, Machine Learning.

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

Cybersecurity enhancement of smart grid: Attacks, methods, and prospects

The Estimation of outliers in cognitive networks spectrum sensing

Development of an efficient Computational Model for classification of Tissue remodeling

Learning-based methods for cyber attacks detection in IoT systems: A survey on methods, analysis, and future prospects

Risk and pattern analysis of Pakistani crime data using unsupervised learning techniques

A Comparative Analysis on Handling Big Data Using Cloud Services

Computational Optimization of Energy Storage System in Managing Distribution Feeder Overloading

Applying Multidimensional Framework in Agile Software Development (MDFA)

DR. SAJID MAHMOOD Information

University

Position

Assistant Professor Chairman Informatics Department

Citations(all)

430

Citations(since 2020)

390

Cited By

131

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

University of Management and Technology

Google Scholar

View Google Scholar Profile

DR. SAJID MAHMOOD Skills & Research Interests

Data Mining

Text Analytics

Pattern Recognition

Bioinformatics

Machine Learning

Top articles of DR. SAJID MAHMOOD

Title

Journal

Author(s)

Publication Date

Cybersecurity enhancement of smart grid: Attacks, methods, and prospects

Electronics

Usman Inayat

Muhammad Fahad Zia

Sajid Mahmood

Tarek Berghout

Mohamed Benbouzid

2022

The Estimation of outliers in cognitive networks spectrum sensing

Lahore Garrison University Research Journal of Computer Science and Information Technology

Awais Salman Qazi

Sajid Mahmood

Attiq Ur Rehman

Waqas Ahmad

2022/6/23

Development of an efficient Computational Model for classification of Tissue remodeling

Lahore Garrison University Research Journal of Computer Science and Information Technology

Zarsha Nazim

Sajid Mahmood

Kiran Amjad

2022/6/13

Learning-based methods for cyber attacks detection in IoT systems: A survey on methods, analysis, and future prospects

Usman Inayat

Muhammad Fahad Zia

Sajid Mahmood

Haris M Khalid

Mohamed Benbouzid

2022/1

Risk and pattern analysis of Pakistani crime data using unsupervised learning techniques

Applied Sciences

Faria Ferooz

Malik Tahir Hassan

Sajid Mahmood

Hira Asim

Muhammad Idrees

...

2022/4/6

A Comparative Analysis on Handling Big Data Using Cloud Services

Attique Ur Rehman

Sajid Mahmood

Ghulam Mustafa

2021/12/27

Computational Optimization of Energy Storage System in Managing Distribution Feeder Overloading

Muhammad Fahad Zia

Usman Inayat

Sajid Mahmood

Ali Harris

2021/11/9

Applying Multidimensional Framework in Agile Software Development (MDFA)

Muhammad Ahsan Arshad

Anees Ur Rahman

Yasir Hafeez

Sajid Mahmood

Muhammad Islam

...

2021/11/9

Boosted Prediction of Antihypertensive Peptides Using Deep Learning

Applied Sciences

Anum Rauf

Aqsa Kiran

Malik Tahir Hassan

Sajid Mahmood

Ghulam Mustafa

...

2021/3/5

A LITERATURE REVIEW ON SECURITY ISSUES IN CLOUD COMPUTING: OPPORTUNITIES AND CHALLENGES

Journal of Critical Reviews

Muhammad Idrees Daniel Mago Vistro

Attique Ur Rehman

Sajid Mehmood

2020/5/19

AN IoT based approach for smart ambulance service using thingspeak cloud

Journal of Critical reviews

Muhammad Idrees and Adeel Munawar Daniel Mago Vistro

Attique Ur Rehman

Sajid Mehmood

2020/5/12

An in silico investigation of phytochemicals as potential inhibitors against non-structural protein 1 from dengue virus 4

Brazilian Journal of Pharmaceutical Sciences

Iqra Qaddir

Arshia Majeed

Waqar Hussain

Sajid Mahmood

Nouman Rasool

2020/12/7

See List of Professors in DR. SAJID MAHMOOD University(University of Management and Technology)