Research & Publications
Applied research, case studies, white papers and student projects from our faculty and scholars — knowledge that feeds straight back into the curriculum.
Fine-Tuning Small Language Models for Urdu Customer-Support Automation
We evaluate parameter-efficient fine-tuning (LoRA) of small open-weight language models on a curated Urdu customer-support corpus, achieving competiti...
A Lightweight Intrusion Detection Framework for Small and Medium Enterprises in Pakistan
This paper proposes an open-source, low-cost intrusion detection architecture combining Wazuh, Suricata and MITRE ATT&CK mapping, evaluated on a simul...
Project-Based Learning Outcomes in Short-Cycle IT Bootcamps: Evidence from 12 Cohorts
Using data from 12 bootcamp cohorts (n = 418), we examine the relationship between weekly project submissions, mentor office-hour attendance and emplo...
Forecasting Electricity Demand in Khyber Pakhtunkhwa with Gradient-Boosted Trees
A reproducible forecasting pipeline using LightGBM and weather covariates achieves a 6.8% MAPE on hourly demand ΓÇö a practical case study used in our...
Migrating Legacy PHP Monoliths to Laravel: A Practitioner Playbook
A step-by-step playbook ΓÇö strangler-fig routing, incremental Eloquent adoption and automated regression testing ΓÇö drawn from three enterprise migr...
Explainable Deep Learning for Chest X-Ray Triage in Low-Resource Clinics
A student capstone applying CNNs with Grad-CAM explanations to public chest X-ray datasets, packaged as an offline-capable triage assistant.