Binayak Bhandari, Ph.D

About Binayak Bhandari, Ph.D

Binayak Bhandari, Ph.D, With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at Seoul National University, specializes in the field of Artificial Intelligence, Advanced Machining, Structural Health Monitoring, Advanced Composite.

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

Continuous Wavelet Transform and Deep Learning for Accurate AE Zone Detection in Laminated Composite Structures

Using Artificial Intelligence (AI) to predict organizational agility

Hybrid convolutional neural network-multilayer perceptron model for solar radiation prediction

Integrating Computer Vision and CAD for Precise Dimension Extraction and 3D Solid Model Regeneration for Enhanced Quality Assurance

Current applications and development of composite manufacturing processes for future mobility

AI-Empowered Methods for Smart Energy Consumption: A Review of Load Forecasting, Anomaly Detection and Demand Response

Implementation of transformer-based deep learning architecture for the development of surface roughness classifier using sound and cutting force signals

Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia

Binayak Bhandari, Ph.D Information

University

Position

/ Woosong University

Citations(all)

2521

Citations(since 2020)

1706

Cited By

1496

hIndex(all)

17

hIndex(since 2020)

17

i10Index(all)

26

i10Index(since 2020)

23

Email

University Profile Page

Google Scholar

Binayak Bhandari, Ph.D Skills & Research Interests

Artificial Intelligence

Advanced Machining

Structural Health Monitoring

Advanced Composite

Top articles of Binayak Bhandari, Ph.D

Title

Journal

Author(s)

Publication Date

Continuous Wavelet Transform and Deep Learning for Accurate AE Zone Detection in Laminated Composite Structures

IEEE Sensors Journal

Binayak Bhandari

Phyo Thu Maung

Ebrahim Oromiehie

Gangadhara B Prusty

2024/3/26

Using Artificial Intelligence (AI) to predict organizational agility

Plos one

Niusha Shafiabady

Nick Hadjinicolaou

Fareed Ud Din

Binayak Bhandari

Robert MX Wu

...

2023/5/10

Hybrid convolutional neural network-multilayer perceptron model for solar radiation prediction

Cognitive Computation

Sujan Ghimire

Thong Nguyen-Huy

Ramendra Prasad

Ravinesh C Deo

David Casillas-Pérez

...

2023/3

Integrating Computer Vision and CAD for Precise Dimension Extraction and 3D Solid Model Regeneration for Enhanced Quality Assurance

Machines

Binayak Bhandari

Prakash Manandhar

2023/12/12

Current applications and development of composite manufacturing processes for future mobility

Jun Young Choi

Ji Ho Jeon

Jang Hyeon Lyu

Jungwoo Park

Geun Young Kim

...

2023/1

AI-Empowered Methods for Smart Energy Consumption: A Review of Load Forecasting, Anomaly Detection and Demand Response

Xinlin Wang

Hao Wang

Binayak Bhandari

Leming Cheng

2023/9/23

Implementation of transformer-based deep learning architecture for the development of surface roughness classifier using sound and cutting force signals

Neural Computing and Applications

Binayak Bhandari

Gijun Park

Niusha Shafiabady

2023/6

Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia

Engineering Applications of Artificial Intelligence

Sujan Ghimire.

Bhandari Binayak

Pérez

D. C.

Deo

...

2022/4

Noncontact Surface Roughness Evaluation of Milling Surface Using CNN-Deep Learning Models

International Journal of Computer Integrated Manufacturing

Binayak Bhandari

Gijun Park

2022/9/12

Preface for Green Manufacturing Coping with Climate Change and Pandemics

International Journal of Precision Engineering and Manufacturing-Green Technology

Christoph Herrmann

Binayak Bhandari

Moon Kyu Kwak

2022/5

Development of a real-time security management system for restricted access areas using computer vision and deep learning

Journal of Transportation Safety & Security

Binayak Bhandari

Gijun Park

2022/4/3

Comparative Study of Popular Deep Learning Models for Machining Roughness Classification Using Sound and Force Signals

Micromachines

Binayak Bhandari

2021/11

Development of a surface roughness evaluation method from light and shade composition using deep learning

IEIE Transactions on Smart Processing & Computing

Binayak Bhandari

Gijun Park

2021/6

Off-grid hybrid renewable energy systems and their contribution to sustainable development goals

Binayak Bhandari

Sung-Hoon Ahn

2021/1/1

Impact of renewable energy on extension of vaccine cold-chain: a case study in Nepal

Journal of Appropriate Technology

Min-Soo Kim

Jeong-Wook Mun

Jongha Yu

Min-Sik Kim

Binayak Bhandari

...

2020/11/30

See List of Professors in Binayak Bhandari, Ph.D University(Seoul National University)

Co-Authors

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