Browsing by Author "Muhammad Faizan Jamil"

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    GROUP COMFORMITY AND INDIVIDUALS’ BEHAVIOR TOWARDS ADOPTING SECTARIAN IDENTITIES
    (UMT.lahore, 2019) Muhammad Faizan Jamil
    Religion is considered as an integral part of individuals’ daily routine practices in the society. People perform religious obligations very rigorously and avoid all the religiously declared prohibited acts. This current study aims, to identify the role of group conformity towards adopting sectarian identities by individuals with the emphasis of exploring the practices of sectarian identities that causes an environment of inter-group disintegration in the community. This study will be significant in recommending initiatives that can create an environment of harmony between people belonging to different sectarian believers. Qualitative research method was applied to analyze group conformity and individuals’ behavior towards practicing sectarian identities. Twelve participants was selected through purposive sampling technique. Structured interview guide was used as data collection tool and themes was extracted to describe existing trends and patterns regarding group conformity and sectarian identity construction. Results revealed efficacious role of group conformity to encourage individuals towards adopting and practicing any particular sectarian identity in the society. Results highlighted that, desire of getting religious hegemony and supremacy with the coutesy of group conformity lead individuals towards intolerant behaviors on sectarian ideological grounds. Such type of religious differences become a cause of enmity and creates an environment of disintegration in the society. Sectarian difference not only creates religious boundaries among people but also causing socio-cultural cracks between individuals having different sectarian identities. Current study stated positive communication and paying respect to everyone without considering others’ sectarian identity can terminate sectarian based hostility in the society.
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    Predicting the behaviour of geosynthetic-reinforced soil abutments using machine learning
    (UMT. Lahore, 2025) Rana Shabahat Qamar; Muhammad Faizan Jamil; Muhammad Arslan; Muhammad Saad; Abdul Salam Chandio
    Geosynthetic-reinforced soil (GRS) abutments are commonly used in bridge construction, retaining walls, and highway embankments because they are strong, flexible, and cost-effective. One of the most important things to consider when using these structures is how much they might settle, since too much movement can affect safety and how well they work. Traditional models for predicting settlement often make too many simplifying assumptions about how the soil interacts with the reinforcement, while more advanced methods like finite element modeling are accurate but need a lot of time, skill, and computing power. This study uses a machine learning approach called Gene Expression Programming (GEP) to predict how much GRS abutments settle. The researchers used a dataset with 354 experimental observations, where the goal was to predict settlement, and the inputs included factors like surcharge pressure, soil friction angle, reinforcement stiffness, vertical spacing, abutment shape, and the angle of the facing. The GEP model performed very well, with a testing score of 0.91, an RMSE of 5.53, and an MAE of 3.09, which shows it agrees closely with the actual experimental results. Additional checks using separate data confirmed the model's reliability. A sensitivity analysis also showed which factors had the biggest impact on settlement, giving useful guidance for future design improvements. This research shows that machine learning, especially GEP, can be a fast and dependable alternative to older methods for predicting settlement. It supports a more performance-based and data-driven approach in geotechnical engineering.
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    The Impact of Electricity and Gas Load Shedding on Social, Economic and Psychological Well Being of Factory Workers.
    (UMT.Lahore, 2017) Muhammad Faizan Jamil
    Influx of energy deficit wrapped everyone in its radar and this paucity causes towards the intense load-shedding of gas and electricity all over the country. Due to having power deficiency, residential and industrial areas are getting excessive interruption of gas and electricity that creates worst circumstance for the citizens. The progress and prosperity of economic circuit is heavily depends on the energy sector and due to having fierce shortage of electricity and gas towards the industrial zones, the working class of factories is becoming protuberant victim of thIs whole scenario. The purpose of conducting this research was to examine and co-relate the impact of energy crises with social, economic and psychological well-being of factory workers. Mixed research method was used to analyze the results through in-depth interview and five-lickert questionnaires, target population of this study was two rice factories of Mandi Faz Abad, from where twenty factory workers were selected for qualitative section through judgmental sampling technique and fifty factory workers were selected for quantitative section with the courtesy of convenient sampling technique. Results revealed that, significant negative relationship were found between energy crises and well-being of the factory workers in Mandi Faiz Abad