PhD Defence · MACHVIS Lab

Multi-Task Learning for Joint Survival Prediction and Cancer Grade Classification in Glioma and Renal Cell Carcinoma

Dr. Syed Nauyan RashidDr. Syed Nauyan Rashid

Dr. Syed Nauyan Rashid has successfully defended his PhD dissertation in Computer Science at SEECS, NUST. His work asks one model to do two things at once from the same tissue images: estimate how long a patient is likely to survive, and grade the tumour.

At a Glance

Dissertation details

Degree

PhD in Computer Science

Successfully defended

Defence Date

11 June 2026

SEECS, NUST

Institution

SEECS, NUST

H-12 Campus, Islamabad

Research Lab

MACHVIS Lab

Machine Vision & Intelligent Systems

Field

Computational pathology

Deep learning in oncology

The Dissertation

About the Research

Glioma and renal cell carcinoma are both graded by how their tissue looks under a microscope, and that same appearance carries information about how a patient is likely to fare. This dissertation treats those as one learning problem rather than two: a multi-task model that predicts survival and classifies cancer grade jointly, from the same histopathology. The work brings deep learning and computational pathology together to support better clinical decisions in oncology.

With Thanks

Supervisory Team

The dissertation was supervised at the Machine Vision and Intelligent Systems Lab, SEECS, NUST.

Prof. Dr. Muhammad Moazam Fraz

Prof. Dr. Muhammad Moazam FrazTI

Supervisor

Lab Director, MACHVIS · Professor & Associate Dean, SEECS, NUST

Dr. Zuhair Zafar

Dr. Zuhair Zafar

Co-supervisor

Co-Director, MACHVIS Lab · SEECS, NUST

Examination

Evaluation Committee

The lab extends its appreciation to the distinguished evaluation committee for their thoughtful feedback and rigorous review, which made this work stronger.

KP

Prof. Kumaradevan Punithakumar

Evaluation Committee

JS

Prof. Jie Shao

Evaluation Committee

AY

Prof. Dr. Amanullah Yasin

Evaluation Committee

AM

Dr. Abdul Majid

Evaluation Committee

Machine Vision & Intelligent Systems Lab

Congratulations, Dr. Nauyan — from everyone at MACHVIS Lab. We look forward to seeing where the work goes next.

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