Azeem Aftab

Mr. Azeem Aftab

Iqra University, Karachi, Sindh, Pakistan
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orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 June 2024 in Information
Verified
Journal Article
Open access
PDF file
IKIkram E Khuda
Ikram E Khuda
Azeem AftabAzeem Aftab
Azeem Aftab
Sajid HasanSajid Hasan
Sajid Hasan
SISamar Ikram
Samar Ikram
SASadique Ahmad
Sadique Ahmad
Muhammad AsimMuhammad Asim
Muhammad Asim
This paper disseminates our research findings that we conducted on university students in the years 2021, 2022, and 2023, with the year 2021 taken as the base year. Our research mined and excavated a concealed prevalence of social anxiety as an important and crucial facet of study anxiety in the university students of Pakistan. Using the Liebowitz Social Anxiety Scale (LSAS), we found a significant increase in the social anxiety level among university students in the past three years after the COVID-19 lockdown. Our data showed that the ‘very severe anxiety’ level soared up to 52.94% in the year 2023 from just 5.98% in the year 2021, showing a net increase of 47.06%. Statistical analyses demonstrate noteworthy differences in the overall social anxiety levels among the students, reaching significance at the 5% level and a discernable upward trend in the social anxiety levels as study anxiety. We also employed predictive analytics, including binary classifiers and generalized linear models with a 95% confidence interval, to identify individuals at risk. This study highlights a dynamic shift with escalating social anxiety levels among the university students and thus emphasizing its awareness, which is significantly important for the timely intervention, potentially preventing symptom escalation and improving outcomes.

10 April 2020 in arXiv
Verified
Preprint
Open access
PDF file
MBMohtashim Baqar
Mohtashim Baqar
AGAzfar Ghani
Azfar Ghani
Azeem AftabAzeem Aftab
Azeem Aftab
SKShahzad Karim Khawar
Shahzad Karim Khawar
This paper presents advancement towards making an efficient and viable wheel chair control system based on brain computer interface via electro-oculogram (EOG) signals. The system utilizes the movement of eye as the element of purpose for controlling the movement of the wheel chair. Skin-surface electrodes are placed over skin for the purpose of acquiring the electro-oculogram signal and with the help of differential amplifier the bio-potential is measured between the reference and the point of interest, afterwards these obtained low voltage pulses are amplified, then passed through a sallen-key filter for noise removal and smoothening. These pulses are then collected on to the micro-controller; based on these pulses motor is switched to move in either right or left direction. A prototype system was developed and tested. The system showed promising results. The test conducted showed 99.5% efficiency of movement in correct direction.