Usman Naeem

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

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

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

How Covid-19 changed computer science education

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

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

Google Scholar

Usman Naeem Skills & Research Interests

Pervasive/Ubiquitous Computing

Mobile Sensing

Educational Technologies

Top articles of Usman Naeem

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

2024

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

Frontiers in Education

2023/10/4

Usman Naeem
Usman Naeem

H-Index: 13

mySkills-A Reflective Framework for Employability Skills

2023/5/1

Usman Naeem
Usman Naeem

H-Index: 13

Learner Engagement Analytics in a Hybrid Learning Environment

2023/5/1

Usman Naeem
Usman Naeem

H-Index: 13

Semantic Data Engineering for Intelligent Educational Learning Systems through Process Mining

2023/1/16

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

2023

How Covid-19 changed computer science education

Itnow

2022/6/1

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

2022/3/28

Usman Naeem
Usman Naeem

H-Index: 13

Sukhpal Singh Gill
Sukhpal Singh Gill

H-Index: 25

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

International Journal of Engineering Education

2022/1/1

Usman Naeem
Usman Naeem

H-Index: 13

Cybercriminal approaches in big data models for automated heavy vehicles

2022/1/1

Lightweight and heavyweight technologies for autonomous vehicles: A survey

2022/1/1

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

2021/7/26

Usman Naeem
Usman Naeem

H-Index: 13

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

2021/1/1

Usman Naeem
Usman Naeem

H-Index: 13

Eranjan Padumadasa
Eranjan Padumadasa

H-Index: 2

Exploiting Patterns of Object Use for Human Activity Recognition

2021

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

International Journal of Innovative Computing Information and Control

2020/1/12

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

IEEE Sensors Journal

2020/1/6

Usman Naeem
Usman Naeem

H-Index: 13

Asra Khalid
Asra Khalid

H-Index: 8

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

IEEE Access

2020/1/6

Usman Naeem
Usman Naeem

H-Index: 13

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

Procedia Computer Science

2020/1/1

Usman Naeem
Usman Naeem

H-Index: 13

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

Procedia Computer Science

2020/1/1

Usman Naeem
Usman Naeem

H-Index: 13

Asra Khalid
Asra Khalid

H-Index: 8

Identifying users with wearable sensors based on activity patterns

Procedia Computer Science

2020/1/1

Usman Naeem
Usman Naeem

H-Index: 13

Asra Khalid
Asra Khalid

H-Index: 8

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

Co-Authors

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