Hasan Kurban

Hasan Kurban

Computer & Data Scientist

About me

I am a Visiting Associate Professor in the Computer Science Department and Data Science Program at Indiana University, Bloomington, where I received my Ph.D. in Computer Science with a minor in Statistics under the supervision of Dr. M. M. Dalkilic in September 2017. My research focuses on AI and its applications. In particular, my latest research is in the new area of data-centric AI (DCAI): developing improved tools and applications primarily in materials science: nanoparticles and Lithium-ion batteries. Our most recent work, “Rapidly predicting Kohn-Sham total energy using data-centric AI”, is now available in Nature Scientific Reports. Our research on improving the venerable expectation-maximization called EM*, which has received an honorable mention paper award from IEEE International Conference on Data Science and Advanced Analytics (DSAA) in Montreal, Canada and the best poster award from IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) Austin, Texas, is available as a CRAN R package, called DCEM.

Interests

  • Data Science, Data Mining, Machine Learning, Big Data, Applied AI (Materials Science)

Education

  • Ph.D., Computer Science, Sep 2017

    Indiana University Bloomington, IN, USA

Projects

FEATURED PUBLICATIONS

*
All Machine Learning Big Data Data Science Artificial Intelligence Data Mining Software Engineering Data Analytics

Applying Data-Centric AI to Improve a Single-cell RNA-seq Pipeline

Applying Data-Centric AI to Improve a Single-cell RNA-seq Pipeline
Applying Data-Centric AI to Improve a Single-cell RNA-seq Pipeline

A paired index structure for k-Nearest Neighbor Search Algorithms

A paired index structure for k-Nearest Neighbor Search Algorithms
A paired index structure for k-Nearest Neighbor Search Algorithms

Cooperative Model Framework with Minimal Viable Theoretical Data

An Efficient and Novel Approach for Predicting Kohn-Sham Total Energy–Bootstrapping a Cooperative Model Framework with Minimal Viable Theoretical Data
Cooperative Model Framework with Minimal Viable Theoretical Data

ccImpute algorithm to impute dropout events in the single-cell RNA-seq data

ccImpute–an accurate and scalable consensus clustering based algorithm to impute dropout events in the single-cell RNA-seq data
ccImpute algorithm to impute dropout events in the single-cell RNA-seq data

Regeneration of Lithium-ion Battery Impedance

Regeneration of Lithium-ion Battery Impedance using a Novel Machine Learning Framework and Minimal Empirical Data
Regeneration of Lithium-ion Battery Impedance

Data-centric AI

Data Expressiveness and Its Use in Data-centric AI
Code
Data-centric AI

Machine Learning Systems for Multi-Atoms Structures

CH3NH3PbI3 Perovskite Nanoparticles
Machine Learning Systems for Multi-Atoms Structures

Rare-class Learning

Rare-class Learning over Mg-Doped ZnO Nanoparticles
Rare-class Learning

Atom Type Prediction

Predicting Atom Types in Different Temperatures
Atom Type Prediction

Artificial Intelligence Based Hospital Appointment System

Hospital Appointment System
Artificial Intelligence Based Hospital Appointment System

Practical Data Science over Nanoparticles

Data Science
Practical Data Science over Nanoparticles

Deep Analysis of TiO2 Nanoparticles

DFTB calculations
Deep Analysis of TiO2 Nanoparticles

R Package

Data Clustering with EM (DCEM) for Big Data, an R package
PDF
R Package

Structural Analysis

Density-functional tight-binding approach for the structural analysis and electronic structure of copper hydride metallic nanoparticles
PDF
Structural Analysis

Public Transportation Optimization

Using Data Analytics to Optimize Public Transportation on a College Campus
PDF
Public Transportation Optimization

Iterative Machine Learning

A Novel Approach to Optimization of Iterative Machine Learning Algorithms
PDF
Iterative Machine Learning

Clustering Big Data

An Expectation Maximization Algorithm for Big Data
PDF
Clustering Big Data

Coral Reef Analysis

EMPLOYING SOFTWARE ENGINEERING PRINCIPLES TO CLIMATOLOGICAL DATASETS
PDF
Coral Reef Analysis

Random Forest

Reduced random forest for big data using priority voting & dynamic data reduction
PDF
Random Forest

Studying the Milky Way

Studying the milky way galaxy using paraheap-k
PDF
Studying the Milky Way

Popular Topics

Analytics Artificial intelligence B+ Trees Big Data Big Data Mining Binary Search Tree Classification Clustering Computational Science Computer Science Cost-sensitive learning Data Analysis Data Analytics Data Mining Data Science Data-Centric AI Data-Expressiveness DFTB Downstream Analysis Dropout Event Electrochemical Impedance Spectroscopy Enery Prediction Expectation Maximization Extreme Gradient Boosting Health Heap High Dimensional Data Hospital Appointment System Imputation Kernel methods Kohn-Sham Machine Learning Material Science Materials Science Nanoparticles Nearest Neighbors Next Generation Sequencing Paired Indexing Prototype models Public Transportation R programming random forest Random Forests Reef Analysis Regression SC3 scRNA Single cell RNASeq Single-cell Software Engineering Statistical Learning Support vector machines Text Mining Unsupervised Learning Weighted Voting XGBoost

Contact

  • 700 N Woodlawn Ave, Bloomington, IN 47408