SAR - Spatial Analytics Research

SAR - Spatial Analytics Research

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SAR group is focused on solving real-world problems and contributing to the research community in a

Photos from SAR - Spatial Analytics Research's post 22/05/2022

Keeping in view the importance of complex location-oriented problems and to let the studnets understand the location based characteristics and their relationships, SAR Group conducted a workshop on UAV applications under the supervision of Prof. Dr. Shahzad Sarfraz (Director Fast CFD) and Mr. Numan Shafi (Lecturer CS Fast CFD).

Students were made familier with the data collection and processsing. Also the practical demonstration with the applicaitons like surveillance, ariel photography, precision agriculture were given to students.

Participants actively engaged and had a hands-on experience with the latest drones, tools and technologies.

Photos from SAR - Spatial Analytics Research's post 11/09/2021

SAR group stands for its commitment to quality and excellence in research.

Spatial Analytics Research (SAR) group feels immense pleasure to announce that three of its amazing members Mr. Talha Muneer, Ms. Nida Hussain, and Ms. Rameen Zehra just completed their MS(CS) after successfully defending their research work under the supervision of Dr. Shahzad Sarfraz (Director FAST-NU CFD Campus).

We would like to say special thanks to external evaluators Dr. Ammar Rafiq (Assistant Professor) NFC IE&FR Faisalabad, and Dr. Uzma Jamil (Assistant Professor) GCUF.

Thanks to Dr. Usman Habib (Associate Professor and HOD CS) FAST-NU CFD, Dr. Irfan Ul Haq (Assistant Professor) and Dr. Affan Rauf (Assistant Professor) for joining the defense as internal evaluators.

Talha, Nida, and Rameen congratulations, you worked hard and got it done. Best wishes for your future.

Photos from SAR - Spatial Analytics Research's post 23/08/2021

Another great day for Spatial Analytics Research (SAR) group as three of its shining members Mr. Hammad Musaddiq, Ms. Noor Asim, and Ms. Malahat Fatima successfully defended their thesis under the supervision of Dr. Shahzad Sarfraz (Director FAST-NU CFD Campus).

Dr. Muhammad Asif (Associate Professor) from National Textile University Faisalabad, Dr. Faisal Bukhari (Associate Professor) from Punjab University Lahore, and Dr. Waheed Iqbal (Associate Professor) from Punjab University Lahore were invited as the external evaluators. Dr. Usman Habib (Associate Professor), Dr. Affan Rauf (Assistant Professor), and Dr. Muhammad Bilal (Assistant Professor) from FAST-NU CFD Campus joined the defense as internal evaluators.

Mr. Hammad combined both geospatial and machine learning tools for creating a relationship of student’s locational factors and semester behavioral factors with their academic performance in his thesis with the title “Geospatial and Machine Learning techniques for predicting student's academic performances”.

Meanwhile, Ms. Noor worked on “Weed identification using vegetation indices and multispectral UAV imaging” where she proposed a novel pipeline to identify and mask w**d concentration regions in the images, collected through UAV.

Furthermore, Ms. Malahat’s research focuses on training a machine learning-based solution to help the community to foresee possible future outbreaks and enables them to take pro-active measures to avoid epidemic spread of vector-borne diseases with thesis title “Geo-Spatial Technologies for Real-Time Monitoring of Vector-Borne Diseases and Forecasting Possible Threats”.

SAR group proudly congratulates all the post-graduating members and extends its best wishes for future endeavors. Special thanks to all the external and internal evaluators and for their insightful suggestions and comments.

Photos from SAR - Spatial Analytics Research's post 16/10/2020

SAR group congratulates one of its brilliant member Ms. Areeba Umair on successfully defending her MS(CS) thesis under the supervision of Dr. Shahzad Sarfraz. Areeba completed her MS(CS) degree with a remarkable CGPA 3.97 on a scale of 4.0. Areeba worked on the prediction of Career progression trajectories using Spatial Analysis and Deep Learning in context of Pakistan. We appreciate Dr. Faisal Bukhari, Assistant Professor PUCIT for evaluating Areeba as an external evaluator. Dr. Affan Rauf, Assistant Professor, FAST-CFD and Dr. Usman Habib, Assistant Professor, FAST-CFD joined the defense as internal evaluators.

SAR would like to extend its best wishes to Ms. Areeba Umair for her future academic career.

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FAST-NU, FAST Square, 9 Km From Faisalabad Motorway Interchange Towards Chiniot
Faisalabad
38000