activity
20122020
most citedn-Gage: Predicting in-class Emotional, Behavioural and Cognitive Engagement in the Wild

32 citations · 56 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CY202010 cited

Seating preference analysis for hybrid workplaces

Mohammad Saiedur Rahaman, Shaw Kudo, Tim Rawling +2

Due to the increasing nature of flexible work and the recent requirements from COVID-19 restrictions, workplaces are becoming more hybrid (i.e. allowing workers to work between tra…

cs.HC202032 cited

n-Gage: Predicting in-class Emotional, Behavioural and Cognitive Engagement in the Wild

Nan Gao, Wei Shao, Mohammad Saiedur Rahaman +1

The study of student engagement has attracted growing interests to address problems such as low academic performance, disaffection, and high dropout rates. Existing approaches to m…

cs.CY20203 cited

Mining Student Responses to Infer Student Satisfaction Predictors

Farzana Afrin, Mohammad Saiedur Rahaman, Margaret Hamilton

The identification and analysis of student satisfaction is a challenging issue. This is becoming increasingly important since a measure of student satisfaction is taken as an indic…

cs.CY202010 cited

An Ambient-Physical System to Infer Concentration in Open-plan Workplace

Mohammad Saiedur Rahaman, Jonathan Liono, Yongli Ren +4

One of the core challenges in open-plan workspaces is to ensure a good level of concentration for the workers while performing their tasks. Hence, being able to infer concentration…

cs.CY20151 cited

Student Satisfaction mining in a typical core course of Computer Science

Farzana Afrin, Mohammad Saiedur Rahaman, Mohammad Saidur Rahman +1

Students' satisfaction plays a vital role in success of an educational institute. Hence, many educational institutes continuously improve their service to produce a supportive lear…

cs.DB2012

A Coherent Distributed Grid Service for Assimilation and Unification of Heterogeneous Data Source

Tanvir Ahmed, Mohammad Saiedur Rahaman, Mohammad Saidur Rahman +1

Grid services are heavily used for handling large distributed computations. They are also very useful to handle heavy data intensive applications where data are distributed in diff…