Nitin Nagesh Kulkarni

About Nitin Nagesh Kulkarni

Nitin Nagesh Kulkarni, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at University of Massachusetts Lowell, specializes in the field of Reduced Order Models, Computer Vision, Machine Learning, Structural Health Monitoring.

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

Time-inferred autoencoder for learning and adapting to changes in a dynamic system in the presence of noise

Deep learning augmented infrared thermography for unmanned aerial vehicles structural health monitoring of roadways

Noncontact sensing techniques for AI-aided structural health monitoring: a systematic review

Wind Turbine Monitoring Using Optical Motion Magnification: Challenges and Opportunities

Time-Inferred Autoencoder: A noise adaptive condition monitoring tool

Performance evaluation of deep learning algorithms for heat loss damage classification in buildings from UAV-borne infrared images

Time-Inferred Autoencoder for Construction and Prediction of Spatiotemporal Characteristics from Dynamic Systems Using Optical Data

Sensitivity analysis of unmanned aerial vehicle-borne 3D point cloud reconstruction from infrared images

Nitin Nagesh Kulkarni Information

University

Position

PhD student at

Citations(all)

266

Citations(since 2020)

266

Cited By

0

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Nitin Nagesh Kulkarni Skills & Research Interests

Reduced Order Models

Computer Vision

Machine Learning

Structural Health Monitoring

Top articles of Nitin Nagesh Kulkarni

Time-inferred autoencoder for learning and adapting to changes in a dynamic system in the presence of noise

2023/4/25

Nitin Nagesh Kulkarni
Nitin Nagesh Kulkarni

H-Index: 0

Alessandro Sabato
Alessandro Sabato

H-Index: 11

Deep learning augmented infrared thermography for unmanned aerial vehicles structural health monitoring of roadways

Automation in Construction

2023/4/1

Noncontact sensing techniques for AI-aided structural health monitoring: a systematic review

2023/1/31

Wind Turbine Monitoring Using Optical Motion Magnification: Challenges and Opportunities

2023

Time-Inferred Autoencoder: A noise adaptive condition monitoring tool

Mechanical Systems and Signal Processing

2023/12/1

Nitin Nagesh Kulkarni
Nitin Nagesh Kulkarni

H-Index: 0

Alessandro Sabato
Alessandro Sabato

H-Index: 11

Performance evaluation of deep learning algorithms for heat loss damage classification in buildings from UAV-borne infrared images

Journal of Building Engineering

2023/9/15

Time-Inferred Autoencoder for Construction and Prediction of Spatiotemporal Characteristics from Dynamic Systems Using Optical Data

2023/6/5

Nitin Nagesh Kulkarni
Nitin Nagesh Kulkarni

H-Index: 0

Alessandro Sabato
Alessandro Sabato

H-Index: 11

Sensitivity analysis of unmanned aerial vehicle-borne 3D point cloud reconstruction from infrared images

Journal of Building Engineering

2022/10/15

Comparative analysis of infrared thermography processing techniques for roadways’ sub-pavement voids detection

NDT & E International

2022/7/1

Advancements in structural health monitoring using combined computer-vision and unmanned aerial vehicles approaches

2022/6/16

Combination of building information modeling and infrared point cloud for nondestructive evaluation

2022/5/25

Fabrication, Mechanics, and Reliability Analysis for Three-Dimensional Printed Lattice Designs

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering

2022/3/1

Nitin Nagesh Kulkarni
Nitin Nagesh Kulkarni

H-Index: 0

Detecting Subsurface Voids in Roadways Using UAS with Infrared Thermal Imaging

2022/2/1

Mechanical Testing and Reliability Analysis for 3D Printed Cubic Lattices

2020/11/16

Nitin Nagesh Kulkarni
Nitin Nagesh Kulkarni

H-Index: 0

Polymer 3D printing review: Materials, process, and design strategies for medical applications

2021/5/6

See List of Professors in Nitin Nagesh Kulkarni University(University of Massachusetts Lowell)

Co-Authors

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