Usman Naeem

Usman Naeem

Queen Mary University of London

H-index: 20

Europe-United Kingdom

About Usman Naeem

Usman Naeem, With an exceptional h-index of 20 and a recent h-index of 15 (since 2020), a distinguished researcher at Queen Mary University of London, specializes in the field of Pervasive/Ubiquitous Computing, Mobile Sensing, Educational Technologies.

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

Enhancing Student Learning, Engagement, and Employment Through Inclusive Curriculum Design

mySkills-A Reflective Framework for Employability Skills

Learner Engagement Analytics in a Hybrid Learning Environment

Semantic Data Engineering for Intelligent Educational Learning Systems through Process Mining

Reflection on Teaching Observation for Computer Science and Engineering to Design Effective Teaching Resources in Transnational Higher Education

Inclusive education: pedagogical approach to online versus face-to-face teaching

Teaching and Facilitating an Online Learning Environment for a Web Programming Module

Responsive educational transformations during emergency situations: collaborative autoethnography applied to the engineering classroom

Usman Naeem Information

University

Position

___

Citations(all)

1379

Citations(since 2020)

1004

Cited By

801

hIndex(all)

20

hIndex(since 2020)

15

i10Index(all)

32

i10Index(since 2020)

24

Email

University Profile Page

Queen Mary University of London

Google Scholar

View Google Scholar Profile

Usman Naeem Skills & Research Interests

Pervasive/Ubiquitous Computing

Mobile Sensing

Educational Technologies

Top articles of Usman Naeem

Title

Journal

Author(s)

Publication Date

Enhancing Student Learning, Engagement, and Employment Through Inclusive Curriculum Design

Sukhpal Singh Gill

Usman Naeem

Rupinder Kaur

Stephanie Fuller

Anastasios Tombros

...

2024

mySkills-A Reflective Framework for Employability Skills

Usman Naeem

Lisa Bosman

Claire Revell

2023/5/1

Learner Engagement Analytics in a Hybrid Learning Environment

Usman Naeem

Lisa Bosman

2023/5/1

Semantic Data Engineering for Intelligent Educational Learning Systems through Process Mining

Kingsley Okoye

Syed Islam

Usman Naeem

Samira Hosseini

2023/1/16

Reflection on Teaching Observation for Computer Science and Engineering to Design Effective Teaching Resources in Transnational Higher Education

Sukhpal Singh Gill

Danielle Thibodeau

Rupinder Kaur

Usman Naeem

Tony Stockman

2023

Inclusive education: pedagogical approach to online versus face-to-face teaching

Frontiers in Education

Aylin Baysan

Usman Naeem

2023/10/4

Teaching and Facilitating an Online Learning Environment for a Web Programming Module

Usman Naeem

Lisa Bosman

Sukhpal Singh Gill

2022/3/28

Responsive educational transformations during emergency situations: collaborative autoethnography applied to the engineering classroom

International Journal of Engineering Education

Lisa B Bosman

Ebisa Wollega

Usman Naeem

2022/1/1

Cybercriminal approaches in big data models for automated heavy vehicles

Keshav Kaushik

Gourav Bathla

Usman Naeem

Adarsh Kumar

2022/1/1

Lightweight and heavyweight technologies for autonomous vehicles: A survey

Kriti Sharma

Usman Naeem

Rajalakshmi Krishnamurthi

Adarsh Kumar

2022/1/1

How Covid-19 changed computer science education

Itnow

Sukhpal Singh Gill

Usman Naeem

Stephanie Fuller

Yue Chen

Steve Uhlig

2022/6/1

Entrepreneurially-minded program assessment during emergency situations: Using photovoice to understand customer (engineering student) needs

Lisa Bosman

Usman Naeem

Eranjan Padumadasa

2021/1/1

Exploiting Patterns of Object Use for Human Activity Recognition

Isibor Kennedy Ihianle

Syed Islam

Usman Naeem

Solomon Henry Ebenuwa

2021

HyFlex, Hybrid, and Virtual Synchronous Teaching in the Engineering Classroom: An Autoethnographic Approach

Lisa Bosman

Ebisa Wollega

Usman Naeem

2021/7/26

An approach towards position-independent human activity recognition model based on wearable accelerometer sensor

Procedia Computer Science

Naima Qamar

Nasir Siddiqui

Muhammad Ehatisham-ul-Haq

Muhammad Awais Azam

Usman Naeem

2020/1/1

Using smartphone accelerometer for human physical activity and context recognition in-the-wild

Procedia Computer Science

Muhammad Ehatisham-ul-Haq

Muhammad Awais Azam

Yusra Asim

Yasar Amin

Usman Naeem

...

2020/1/1

Identifying users with wearable sensors based on activity patterns

Procedia Computer Science

Muhammad Ehatisham-ul-Haq

Maryam Naseer Malik

Muhammad Awais Azam

Usman Naeem

Asra Khalid

...

2020/1/1

Semantic-based process mining technique for annotation and modelling of domain processes

International Journal of Innovative Computing Information and Control

U Naeem

K Okoye

S Islam

S Sharif

2020/1/12

Context-aware human activity recognition (CAHAR) in-the-Wild using smartphone accelerometer

IEEE Sensors Journal

Yusra Asim

Muhammad Awais Azam

Muhammad Ehatisham-ul-Haq

Usman Naeem

Asra Khalid

2020/1/6

C2FHAR: Coarse-to-fine human activity recognition with behavioral context modeling using smart inertial sensors

IEEE Access

Muhammad Ehatisham-Ul-Haq

Muhammad Awais Azam

Yasar Amin

Usman Naeem

2020/1/6

See List of Professors in Usman Naeem University(Queen Mary University of London)

Co-Authors

H-index: 49
Steve Uhlig

Steve Uhlig

Queen Mary University of London

H-index: 45
Sukhpal Singh Gill

Sukhpal Singh Gill

Queen Mary University of London

H-index: 40
Jonathan Kok-Keong Loo

Jonathan Kok-Keong Loo

University of West London

H-index: 28
Hassan Abdalla

Hassan Abdalla

Ain Shams University

H-index: 17
Richard John Anthony

Richard John Anthony

Greenwich University

H-index: 17
Abdel-Rahman H. Tawil

Abdel-Rahman H. Tawil

Birmingham City University

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