Research
Peer-reviewed papers from 14Labs and our co-authors, across renewable-energy forecasting, materials engineering and applied machine learning — with the work under review and still in progress alongside it.
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14 Aug 2026
Authors: Faiza Mehmood, Muhammad Nabeel Asim, Aamir Mehmood, Waqar Mahmood, Sebastian Vollmer, Mehmood Ul Haq, Faisal Ali, Andreas Dengel
A systematic meta-review of solar irradiance forecasting datasets, modelling pipelines, and predictive performance.
Collaboration with DFKI, Germany.Authors: Muhammad Muteeb Butt, Mehmood ul Haq, Varma KVVSSN, Hossein Laieghi, Hakan Yavas, Metin U Salamci, Hüseyin Kızıl
Fatigue-life prediction combining data augmentation, ANN modelling, SHAP analysis, and physics-guided empirical equations.
Authors: Muhammad Muteeb Butt, Sidra Rashid, Mehmood ul Haq, Ayyaz Mustafa, Arshad Iqbal, Hossein Laieghi, Varma KVVSSN, Metin U. Salamci, Enrico Salvati, Hüseyin Kızıl
Machine learning prediction of tensile properties in SLM-fabricated Ti6Al4V, with SHAP interpretation and a GUI for selecting process parameters.
Authors: M.A. Mujtaba, A. Munir, Sheeraz Ali, Jana Petrů, Talha Ansar, Waiz Akhlaq, Muneeb Ahmad, Haseeb Iqbal, Faisal Ali, Muhammad Nasir Bashir, T. Jerry Alexander
Twenty years of Lahore pollution and weather data, forecast with statistical and machine learning models to project air quality to 2030.
Authors: Kiran Shahzadi, Muhammad Sarfraz, Muneerah Alomar, M.A. Mujtaba, Muhammad Nasir Bashir, Muhammad Mahmood Ali, Faisal Ali
Hydrothermally synthesised Zn–Co ferrite nanocatalysts for water splitting, with cobalt-rich compositions giving the strongest oxygen evolution.
Ensemble forecasting for photovoltaic energy planning in Lahore.
Diffusion-based generation of microscopy images for nanoparticle research.
Interpretable modelling of SPS process–property relationships.
Evolutionary optimization for air-quality prediction using machine learning and deep learning.
Vision and sensor fusion for automated fire detection and extinguishing.
Comparative forecasting across multiple horizons for Lahore’s solar-energy conditions.
An ensemble framework for predicting solar irradiance from NASA irradiance data.
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