01
Medical Image Analysis
Deep learning for glioma brain tumour segmentation, diagnosis, and overall survival prediction from MRI.
Glioma · MRI · Segmentation · Survival Prediction
Academic Portfolio
Intelligent Systems
for Health & Society
Professor & Head, Department of Computer Science, IUST Kashmir. Research spanning Deep Learning, Medical Imaging, graph neural networks, and document image analysis.
20+Publications
657Citations
14h-index
₹26+ CrResearch Funding
20 Years
of Research & Teaching Excellence
About
Academic Profile
I am Professor and Head of the Department of Computer Science at the Islamic University of Science & Technology, Kashmir. I hold a Ph.D. and an M.Phil. in Computer Science from the University of Kashmir, and I have taught and researched at IUST since 2006.
My research spans deep learning for medical imaging, graph neural networks, document image analysis, and image security. I have guided doctoral research in glioma segmentation and influential node identification, and I have led major computing and e-learning initiatives funded by the Government of Jammu & Kashmir.
IUST, Kashmir, J&K 192122, India
Education
Ph.D. in Computer Science
University of Kashmir · 2019
M.Phil. in Computer Science
University of Kashmir · 2013
Master of Computer Applications (MCA)
University of Kashmir · 2005
B.Sc. in Mathematics & Physics
University of Kashmir · 2002
Career
Professor
IUST Kashmir · 2023 – Present
Associate Professor
IUST Kashmir · 2020 – 2023
Assistant Professor (Selection Grade)
IUST Kashmir · 2017 – 2020
Assistant Professor (Senior Scale)
IUST Kashmir · 2012 – 2017
Assistant Professor
IUST Kashmir · 2007 – 2012
Leadership & Service
Head, Department of Computer Science
Aug 2026 – Present
Director, Directorate of IT & Support Services (DIT&SS)
Jun 2023 – Jul 2026
Head, Department of Computer Science
Aug 2021 – Apr 2022
I/C Head, Department of Computer Science
Aug 2019 – Aug 2021
Coordinator, ACIT & e-Governance
2013 – 2014
I/C Head, Department of Computer Science
2009 – 2010
Life Member, Kashmir University Alumni Association (KUAA)
Scholarly work
Selected Publications
Peer-reviewed journal articles, conference papers, and book chapters on medical imaging, deep learning, and document analysis
27 results
JournalArchives of Computational Methods in Engineering(2025)74 cited
A Critical Review on Segmentation of Glioma Brain Tumor and Prediction of Overall Survival
Novsheena Rasool, Javaid Iqbal Bhat
A comprehensive review of glioma brain tumour segmentation approaches and overall survival prediction methods, with impact factor 9.7.
GliomaBrain TumourSegmentationSurvival Prediction
JournalFrontiers in Oncology(2025)74 cited
CNN-TumorNet: Leveraging explainability in deep learning for precise brain tumor diagnosis on MRI images
Novsheena Rasool, Niyaz Ahmad Wani, Javaid Iqbal Bhat et al.
An explainable CNN-based framework for precise brain tumour diagnosis on MRI images.
Explainable AICNNBrain TumourMRI
JournalInternational Journal of System Assurance Engineering and Management(2025)
SegSurvNet: SE-U-net-based glioma segmentation and overall survival prediction via MHA-NN and stacking regressor
Novsheena Rasool, Javaid Iqbal Bhat
A squeeze-and-excitation U-Net framework with multi-head attention neural networks and a stacking regressor for glioma segmentation and survival prediction.
SE-U-NetGliomaStacking RegressorSurvival Prediction
JournalInternational Journal of Intelligent Systems Technologies and Applications(2025)
Brain Tumour Segmentation for Overall Survival Prediction
Novsheena Rasool, Javaid Iqbal Bhat
Investigates brain tumour segmentation techniques and their role in predicting overall patient survival.
Brain TumourSegmentationSurvival Prediction
JournalMultimedia Tools and Applications(2025)106 cited
Brain tumour detection using machine and deep learning: a systematic review
Novsheena Rasool, Javaid Iqbal Bhat
A systematic review of machine learning and deep learning approaches for brain tumour detection.
Brain TumourMachine LearningDeep LearningSystematic Review
JournalKnowledge-Based Systems(2024)38 cited
OlapGN: A multi-layered graph convolution network-based model for locating influential nodes in graph networks
Yasir Rashid, Javaid Iqbal Bhat
Proposes OlapGN, a multi-layered graph convolution network model for identifying influential nodes in graph-structured networks.
Graph Neural NetworksInfluence MaximisationGCN
Expertise
Research Focus
Applying AI, graph learning, and image analysis to problems in healthcare, language, and information retrieval
02
Deep Learning
Transformers, residual networks, and explainable AI applied to complex image and signal understanding.
Transformers · Residual Networks · Explainable AI
03
Graph Neural Networks
Graph convolution and topological methods for influential node identification in complex networks.
GCN · Influence Maximisation · Social Networks
04
Document Image Analysis
Content-based indexing and retrieval using quadtree structures, sparse matrices, and script identification.
Quadtree · Indexing · Script Identification
05
Image Watermarking & Security
Discrete wavelet based authentication and reversible watermarking for medical and colour images.
DWT · Authentication · Medical Images
06
Software Cost Estimation
Model-based and evolutionary techniques for software development effort and cost prediction.
Differential Evolution · Analogy-Based · Effort Prediction
Funding & grants
Research Projects
₹26 Cr
in research funding across five grants, from the Government of Jammu & Kashmir and JKSTIC
Project
Agency
Grant
01
Employment and Skill Enhancement: High Computing and e-Learning through IUST Cloud (opens in new tab)
Cloud infrastructure for high-performance computing and e-learning at IUST.
Government of Jammu & Kashmir
Co-PI
₹16Cr
02
Establishment of Innovation Centre at IUST, Awantipora (opens in new tab)
Setting up an innovation centre to support research and entrepreneurship at IUST.
Higher Education, Government of Jammu & Kashmir
Co-PI
₹10Cr
03
Design and Development of Domain Specific Machine Translation System for Kashmiri Language (opens in new tab)
A domain-specific machine translation system for the Kashmiri language.
JKSTIC, Government of Jammu & Kashmir
Co-PI · Completed
₹6.4Lacs
04
Artificial Intelligence-based Cherry Disease Detection Android App (opens in new tab)
An AI-powered Android application for detecting cherry plant diseases.
JKSTIC, Government of Jammu & Kashmir
PI
₹5.8Lacs
05
Identification of Kashmiri Script in a Document Image using Frequency Domain (opens in new tab)
Frequency-domain techniques for identifying Kashmiri script in document images.
JKSTIC, Government of Jammu & Kashmir
Co-PI · Completed
₹3.0Lacs
Records: IUST research registry·University profile
Research Supervision
Doctoral scholars guided to completion
Novsheena Rasool
AwardedA Novel Glioma Brain Tumor Segmentation Framework Using Deep Learning
2025
Yasir Rashid
AwardedIdentifying Influential Users in Online Social Networks Using Graph Convolutional Networks (GCNs)
2025
PhD Scholars (04)
OngoingOngoing doctoral research in medical imaging, deep learning, and network science
Present
Department Highlights
Achievements and academic service
2025
Two PhD Scholars Awarded
Novsheena Rasool and Yasir Rashid completed their doctoral research in glioma segmentation and influential node identification.
2024
Published in Knowledge-Based Systems
OlapGN: a multi-layered graph convolution network model for locating influential nodes in graph networks.
2024
IEEE Access Publication
TransResUNet: transformer-enhanced residual UNet for glioma brain tumour segmentation.
2023
Appointed Professor & Head
Took charge as Professor in the Department of Computer Science, IUST Kashmir.
Consultancy
- Security Solution at Jammu & Kashmir Wakf Board Managed Shrines
- Jammu and Kashmir Board of Professional Examination
Reviewer for journals
International Journal of Advancements in TechnologyInternational Journal of E-Health and Medical Communications (IJEHMC)Multimedia Tools and ApplicationsKnowledge-Based SystemsExpert Systems