Amit Kaul

About Amit Kaul

Amit Kaul, With an exceptional h-index of 10 and a recent h-index of 8 (since 2020), a distinguished researcher at National Institute of Technology, Hamirpur, specializes in the field of Signal Processing, Pattern Recognition, Biometrics.

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

Optimized multi-stage sifting approach for ECG arrhythmia classification with shallow machine learning models

Optimized Ensemble Machine Learning Approach for Emotion Detection from Thermal Images

Integrating Information in Visual and Thermal Image for Crack and Moisture Detection in Concrete Structures through CNNs

Sinusitis Detection Using Neural Network Fusion of Different Classifiers on Thermal Images.

PPG and fingerprint: robust bimodal biometric system

PPG-based Windkessel model parameter identification via unscented Kalman filtering

Dual Window Fourier Transform (DWFT): A Tool to Analyze Non-stationary Signals

Analysis of Thermal Images with Parallel Convolutional Deep Neural Network for Diabetic Foot Detection

Amit Kaul Information

University

Position

Electrical Engineering Department

Citations(all)

485

Citations(since 2020)

320

Cited By

244

hIndex(all)

10

hIndex(since 2020)

8

i10Index(all)

11

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Amit Kaul Skills & Research Interests

Signal Processing

Pattern Recognition

Biometrics

Top articles of Amit Kaul

Title

Journal

Author(s)

Publication Date

Optimized multi-stage sifting approach for ECG arrhythmia classification with shallow machine learning models

International Journal of Information Technology

Piyush Mahajan

Amit Kaul

2024/1

Optimized Ensemble Machine Learning Approach for Emotion Detection from Thermal Images

International Journal of Pattern Recognition and Artificial Intelligence

Jayaprakash Katual

Amit Kaul

2024/2/22

Integrating Information in Visual and Thermal Image for Crack and Moisture Detection in Concrete Structures through CNNs

Jayaprakash Katual

Amit Kaul

S Joel

2023/5/5

Sinusitis Detection Using Neural Network Fusion of Different Classifiers on Thermal Images.

Jayaprakash Katual

Amit Kaul

2023/1/23

PPG and fingerprint: robust bimodal biometric system

International Journal of Biometrics

Akhil Walia

Amit Kaul

2023

PPG-based Windkessel model parameter identification via unscented Kalman filtering

International Journal of Biomedical Engineering and Technology

Akhil Walia

Amit Kaul

2023

Dual Window Fourier Transform (DWFT): A Tool to Analyze Non-stationary Signals

Circuits, Systems, and Signal Processing

Akhil Walia

Amit Kaul

2022/11

Analysis of Thermal Images with Parallel Convolutional Deep Neural Network for Diabetic Foot Detection

Jayaprakash Katual

Amit Kaul

2022/10/7

Ecg arrhythmia classification using ensemble of features

Anupuram Pradeepkumar

Amit Kaul

2022/8/26

Analysis of ecg signal using machine learning approaches for detecting different heart abnormalities

Amita Singh

Amit Kaul

2022/6/24

Arduino based portable ECG and PPG signal acquisition system

Piyush Mahajan

Amit Kaul

2022/4/29

Towards framework for edge computing assisted covid-19 detection using ct-scan images

Varan Singh Rohila

Nitin Gupta

Amit Kaul

Uttam Ghosh

2021/6/14

Deep learning assisted COVID-19 detection using full CT-scans

Authorea Preprints

Nitin Gupta

Amit Kaul

Deepak Sharma

2023/10/30

PPG-Based Biometric Recognition: Opportunities with Machine and Deep Learning

Amit Kaul

Akhil Walia

2021/3/21

6 AI-Based Approach for Person Identification Using ECG Biometric

AI and Deep Learning in Biometric Security: Trends, Potential, and Challenges

Amit Kaul

AS Arora

Sushil Chauhan

2021/3/21

Predictive Maintenance Approach For Transformers Based On Hot Spot Detection In Thermal images

S Joel

Amit Kaul

2020/6/24

QRS Detection Using Dual Window Fourier Transform

Akhil Walia

Amit Kaul

2020/11/5

See List of Professors in Amit Kaul University(National Institute of Technology, Hamirpur)

Co-Authors

academic-engine