humayun

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Humayun IRSHAD
Doctoral Student

University Joseph Fourier, Grenoble, France.
IPAL UMI CNRS 2955 Singapore 

Supervised by: 

Daniel RACOCEANU

I am with the joint French-Singaporean research lab IPAL (Image & Pervasive Access Lab) UMI the French National Center for Scientific Research (CNRS) based in Singapore, recent PhD graduate from Grenoble Universities, France, under the suppervision of Prof. Daniel RACOCEANU and Dr. Ludovic ROUX. I received my MS degree in Computer Science from National University of Computer and Emerging Sciences (NUCES) Islamabad, Pakistan in 2009 and BS degree in Computer Science from University of Central Punjab (UCP) Lahore Pakistan in 2005.

My PhD topic was "Automated Mitosis Detection in Color and Multi-spectral High-Content Images in Histopathology:Application to Breast Cancer Grading" (oral defence successfully organised on 20th of Jan. 2014 in Grenoble). I’m developing algorithms for nuclei detection, segmentation and classification in Histopathological images.

I am also working on MICO – Cognitive Virtual Microscopy funded by French National Research Agency ANR under reference ANR-10-TECS-015. My work includes automated mitosis detection in color and multispectral images of breast cancer histopathology. I have developed an efficient and generic strategy to explore large images like WSI by combining computational geometry tools with a local signal measure of relevance in dynamic sampling framework. The real time evaluations of these methods are done in MICO platform in Pitié-Salpêtrière Hosiptal (GHU-PS) Paris. Being part of a team having industrial partners, breast cancer grading is developed, tested and validated in the frame of project MICO in order to demonstrate the viability and relevance of the system.

I am also working on Discrete Geometry Data structure and algorithm for 2-manifolds (Meshes) in ITK under the supervision of Alexandre Gouaillard.

Scientific expertise in the fields of machine learning, computer vision, medical image analysis (Segmentation, Feature Extraction, Classification), Computer Aided Diagnosis, Digital Histopathology and Discrete Geometry Processing

Engineering expertise in C++, Java and Matlab implementation, Optimization and integration of algorithms

I’m representing South-East Asia; precisely Pakistan in this multi-national lab.

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Topics of interest: 

Medical Image Analysis

Microscopic Image Processing ( H&S, HSE, IHC, Multispectral Imaging)

Computer Aided Diagnosis

Machine Learning

Pattern Recognition 

Classification

Computation Geometry 

Voronoi Tessellation

Delaunay Triangulation 

Simplex Mesh

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Keywords: 


Breast Cancer Grading

Digital Histopathology

Computer Vision

Machine Learning

Medical Image Analysis

Nuclei Detection, Segmentation and Clasification

Pattern Recognition

Mitosis Count

Simplex Mesh

ITK

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Project(s): 

Cognitive Microscopy (MICO)

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PhD Candidate, University Joseph Fourier, Grenoble, France.
IPAL UMI CNRS 2955 Singapore (CNRS, I2R/A*STAR, NUS, UJF, UPMT, IMT)

#10-19 Institute for Infocomm Research (I2R)
Connexis South Tower 1 Fusionopolis Way
Singapore 138632
Tel:   (65) 65162864, (65) 6408 2601
Cell: (65) 86573510
Fax: (65) 6466 7558
humayun.irshad@ipal.cnrs.fr

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