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Nezamoddini-Kachouie Nezamoddin

Associate Professor | Mathematical Sciences

Contact Information
(321) 674-7485
Frederick C. Crawford Bldg, 311

Educational Background

Research Fellowship - Biostatistics, Harvard School of Public Health, 2012 

Postdoc - Biomedical Engineering, Harvard Medical School, 2010 

PhD - Systems Design Engineering, University of Waterloo, 2008

MASc - Electrical and Compuuter Engineering

BASc - Electrical and Computer Engineering

Professional Experience

Research Fellow 2010-2012

Harvard School of Public Health

Department of Biostatistics

Dana Farber Cancer Institute


Postdoctoral Fellow 2008-2010

Harvard - MIT, Division of Health Sciences and Technology (HST)

Harvard Medical School

Brigham and Women's Hospital

Selected Publications

Monte Carlo ensemble correlation coefficient for association detection

W Deebani, NN Kachouie

Communications in Statistics-Simulation and Computation 2020


Climate Change Study via the Centennial Trend of Climate Factors

NN Kachouie, OE Onyejekwe

Hydrology 7 (2), 1-12, 2020


Association Factor for Identifying Linear and Nonlinear Correlations in Noisy Conditions

N N. Kachouie, W Deebani

Entropy 22 (4), 440, 2020


Weighted Mutual Information for Aggregated Kernel Clustering

N N. Kachouie, M Shutaywi

Entropy 22 (3), 351, 2020


Discriminant Analysis of Lung Cancer Using Nonlinear Clustering of Copy Numbers

NN Kachouie, M Shutaywi, DC Christiani

Cancer Investigation 38 (2), 102-112, 2020


Geometrical optimisation of a personalised microneedle eye patch for transdermal delivery of anti-wrinkle small peptide

SH Lim, WJ Tiew, J Zhang, PC Ho, NN Kachouie, L Kang

Biofabrication, 2020


Potential impact of OPTN plan in association with donors’ factors on survival times of transplanted kidneys

NN Kachouie, F Hamad

Transplantation Reports 5 (2), 100042, 2020


Potential Impact of Donors’ Factors on Survival Times of Transplanted Hearts and Lungs

F Hamad, NN Kachouie

Transplantation Reports 4 (4), 100035, 2019


Identifying Similarities and Disparities Between DNA Copy Number Changes in Cancer and Matched Blood Samples

NN Kachouie, W Deebani, DC Christiani

Cancer investigation 37 (10), 535-545, 2019


A hybrid method to estimate the full parametric hazard model

F Hamad, NN Kachouie

Communications in Statistics-Theory and Methods 48 (22), 5477-5491, 2019


Computer assisted tracking of Chlamydomonas species

Alexandra M Folcik, Timothy C Haire, Kirstin Cutshaw, Melissa Riddle, Catherine Shola, Sararose Nassani, Paul Rice, Brianna Richardson, Nezamoddin Nazamoddini-Kachouie, Andrew George Palmer

Frontiers in Plant Science 10, 1616, 2019


A Weighted Majority Voting based on NMI for Cluster Analysis.

M Shutaywi, NN Kachouie

International Symposium on Artificial Intelligence and Mathematics, 2018


Ensemble Correlation Coefficient.

W Deebani, NN Kachouie

International Symposium on Artificial Intelligence and Mathematics, 2018


Multivariate models for predicting glacier termini

O Onyejekwe, B Holman, NN Kachouie

Environmental Earth Sciences 76 (23), 807, 2017


Method for detecting voxelwise changes in fluorodeoxyglucose-positron emission tomography brain images via background adjustment in cancer clinical trials

L Qin, A Schwartzman, K McCall, NN Kachouie, JT Yap

Journal of Medical Imaging 4 (2), 024006     1, 2017


FDR control of detected regions by multiscale matched filtering

NN Kachouie, X Lin, A Schwartzman

Communications in Statistics-Simulation and Computation 46 (1), 127-144, 2017


Research Interest Areas

  • Statistical Modeling
  • Probabilistic Mapping
  • Pattern Recognition
  • Machine Learning
  • Data Science/Analysis 
  • Optimization
  • Signal/Image/Video Processing

Research Interest Fields

  • Anomaly Detection
  • Trend Analysis
  • Denoising
  • Classification
  • Clustering
  • Detection, Segmentation, and Tracking

Research Interest Methods 

  • Regression Analysis
  • Multivariate Models
  • Filter Banks
  • Wavelet Analysis
  • Linear/Nonlinear Association Factors 
  • Neural Networks
  • Deep Learning
  • Bayesian Estimation
  • Hierarchical Models
  • Markov Chain Monte Carlo (MCMC)

Research Application Areas

  • Cancer Research
  • Public Health
  • Remote Sensing
  • Climate Change 
  • Ecology 
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