Sky View Through an Archway on Campus

Editing Help

Please reference the Faculty Profile Editing Guide if you have any questions or issues updating your profile. If you receive any error notices please contact

Nezamoddini-Kachouie Nezamoddin

Associate Professor | College of Engineering and Science - Mathematics and Systems Engineering

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 Computer 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 
Edit Page