Logo MachVis

News & Events

Our Lateast News

April 01, 2022

CureMD Healthcare organized the 1st AIMeD Workshop predicting Time to Treatment Failure - an Instance of Medical Mind, attended by Dr Muhammad Moazam Fraz and Saad Ahmad Khan. They presented their work titled "Extracting Cancer Phenotypes from Radiology Reports and Clinical Records - Tapping the power of unstructured data" where insights into the NLP techniques for knowledge extraction from unstructured data sources were provided.

October 21, 2021

Journal Paper Title: "PROUD-MAL: static analysis-based progressive framework for deep unsupervised malware classification of windows portable executable" by Ph.D.Mr. Syed Khurram Jah Rizwi, Ph.D. Student working in the supervision of Dr. Muhammad Moazam Fraz published

August 6, 2021

Dr. Muhammad Moazam Fraz has been awarded CureMD Fellowship funding for the project titled “Extracting Cancer Phenotypes from Radiology Reports and Clinical Records – Tapping the power of unstructured data”.

May 22, 2021

In the Digital Futures and Transformative Technologies: Icodt2 - 2021 (http://icodt2.seecs.edu.pk/) BEST PAPER AWARD is given to one of the papers submitted by our research group. Kudos to Afia Rasool (MSCS8) for her outstanding efforts.

June 1, 2021

A manuscript titled "Stochastic attentions and context learning for person re-identification" has been accepted for publication by the "PeerJ Computer Science", having IF 3.09.

Oct 2019

Dr. Muhammad Moazam Fraz has received an SEECS outstanding journal publications award for the year 2018.




January 31, 2022

Dr. Muhammad Moazam Fraz NUST-SEECS has secured international research funding of 1,50,000 Euros from TEIN CC Asi@Connect. The project is titled "An AI enabled quasi-real-time water quality monitoring for early chemical and/or bio-contamination detection".




October 5, 2021

Journal paper titled "A Multi-Approach Generalized Framework for Automated Solution Suggestion of Support Tickets" by MS student Syed Shahzaib Ali Zaidi published in the journal "International Journal of Intelligent Systems".


September 6, 2021

Machine Vision and Intelligent Systems Lab have organized 5-day training on AI, Machine Learning & Data Science in collaboration with NUST Professional Development Centre from 6th-10th Sep 2021.

May 22, 2021

Thesis on "Information Attention Based Deep Network for Person Re-identification" has been done and dusted by Mr Rao Faizan.


January 28, 2020


Kickstart Ceremony of the project Medical Mind, sponsored by CureMD Inc,
CureMD, is a US-based Healthcare Informatics Company. has awarded two fellowships to Dr. Muhammad Moazam Fraz and Dr. Imran Akhtar

Oct 2019

Ms. Nazia Perwaiz (PhD Student) has presented her paper titled “Hierarchical Refined Local Associations for Robust Person Re-Identification” at 3rd IEEE International Conference on Robotics and Automation, CEME, NUST, Islamabad

December 12, 2021

Dr Muhammad Moazam Fraz NUST-SEECS is awarded with the research funding of PKR 11.3 Million under the National Research Program for Universities 2021. Dr Yasir Faheem and Dr Muhammad Shahzad are the Co-Principal Investigators.




August 20, 2021

The Machine Vision and Intelligent Systems Lab at NUST School of Electrical Engineering & Computer Science bring a five-day hands-on workshop on "Edge Computing for Computer Vision" with a focus on harnessing the power of computer vision on the edge.

May 26, 2021

Dr Muhammad Moazam Faraz has been declared as School Best Researcher for the year 2020


May 1, 2021

A manuscript titled "Spectrum of Advancements and Developments in Multidisciplinary Domains for Generative Adversarial Networks (GANs)" has been accepted for publication by the "Archives of Computational Methods in Engineering", having an Impact Factor of 6.703.

Oct 2019

Dr. M. Shahzad has received SEECS Star Researcher Award for the year 2018





Mar 2018

Dr. M. Moazam Fraz was awarded with Rutherford Visiting Fellowship by The Alan Turing Institute United Kingdom (UK’s National Center for Data Science and Artificial Intelligence) to work as Senior Research Fellow at the Tissue Image Analytics (TIA) Lab, University of Warwick, UK