Shaya Sheikh

Shaya Sheikh

New York Institute of Technology

H-index: 15

North America-United States

About Shaya Sheikh

Shaya Sheikh, With an exceptional h-index of 15 and a recent h-index of 9 (since 2020), a distinguished researcher at New York Institute of Technology, specializes in the field of Supply Chain, Data Mining Application in Business, Scheduling, Data Driven Energy Network Models.

His recent articles reflect a diverse array of research interests and contributions to the field:

Analyzing Energy Performance in American Low Income Households: A DataDriven Approach with Machine Learning Insights

Efficiency Evaluation of Banks with Many Branches using a Heuristic Framework and Dynamic Data Envelopment Optimization Approach: A Real Case Study

An integrated decision support system for multi-target forecasting: A case study of energy load prediction for a solar-powered residential house

A collaborative decision support system for multi-criteria automatic clustering

A new model for operating room scheduling with elective patient strategy

Data-driven predictive models for residential building energy use based on the segregation of heating and cooling days

Typical Meteorological Year and Actual Weather Data in Data-Driven Machine Learning Models for Residential Building Energy Use.

Shaya Sheikh Information

University

Position

___

Citations(all)

646

Citations(since 2020)

350

Cited By

409

hIndex(all)

15

hIndex(since 2020)

9

i10Index(all)

17

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Shaya Sheikh Skills & Research Interests

Supply Chain

Data Mining Application in Business

Scheduling

Data Driven Energy Network Models

Top articles of Shaya Sheikh

Analyzing Energy Performance in American Low Income Households: A DataDriven Approach with Machine Learning Insights

Journal of Building Engineering

2024/4/12

Efficiency Evaluation of Banks with Many Branches using a Heuristic Framework and Dynamic Data Envelopment Optimization Approach: A Real Case Study

arXiv preprint arXiv:2209.04822

2022/9/11

An integrated decision support system for multi-target forecasting: A case study of energy load prediction for a solar-powered residential house

Computers & Industrial Engineering

2022/4/1

Shaya Sheikh
Shaya Sheikh

H-Index: 10

Murtaza Nasir
Murtaza Nasir

H-Index: 2

A collaborative decision support system for multi-criteria automatic clustering

Decision Support Systems

2022/2/1

Mona Jabbari
Mona Jabbari

H-Index: 3

Shaya Sheikh
Shaya Sheikh

H-Index: 10

A new model for operating room scheduling with elective patient strategy

INFOR: Information Systems and Operational Research

2021

Majid Rafiee
Majid Rafiee

H-Index: 7

Shaya Sheikh
Shaya Sheikh

H-Index: 10

Data-driven predictive models for residential building energy use based on the segregation of heating and cooling days

Energy

2020/9/1

Typical Meteorological Year and Actual Weather Data in Data-Driven Machine Learning Models for Residential Building Energy Use.

ASHRAE Transactions

2020/7/1

Ehsan Kamel
Ehsan Kamel

H-Index: 5

Shaya Sheikh
Shaya Sheikh

H-Index: 10

See List of Professors in Shaya Sheikh University(New York Institute of Technology)

Co-Authors

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