Kishore Pochiraju

Kishore Pochiraju

Stevens Institute of Technology

H-index: 27

North America-United States

About Kishore Pochiraju

Kishore Pochiraju, With an exceptional h-index of 27 and a recent h-index of 16 (since 2020), a distinguished researcher at Stevens Institute of Technology, specializes in the field of AI in Design, Engineered Composites, Additive Manufacturing, High-Fidelity Modeling.

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

AutoML-driven diagnostics of the feeder motor in fused filament fabrication machines from direct current signals

Mission-oriented Gaussian Process Motion Planning for UUVs over Complex Seafloor Terrain and Current Flows

A Neural Network Transformer Model for Composite Microstructure Homogenization

Shape recovery of polymers with inclusions under multi-axial stress

Autonomous Continuous Fiber Infill Generation for Composites 3D Printing

Estimation of spatial uncertainty in material property distributions within heterogeneous structures using optimized convolutional neural networks

AIMED: AI-Mediated Exploration of Design: An Experience Report

Spindle Condition Monitoring With a Smart Vibration Sensor and an Optimized Deep Neural Network

Kishore Pochiraju Information

University

Position

Professor (Mechanical Engineering)

Citations(all)

2536

Citations(since 2020)

1084

Cited By

1875

hIndex(all)

27

hIndex(since 2020)

16

i10Index(all)

43

i10Index(since 2020)

24

Email

University Profile Page

Stevens Institute of Technology

Google Scholar

View Google Scholar Profile

Kishore Pochiraju Skills & Research Interests

AI in Design

Engineered Composites

Additive Manufacturing

High-Fidelity Modeling

Top articles of Kishore Pochiraju

Title

Journal

Author(s)

Publication Date

AutoML-driven diagnostics of the feeder motor in fused filament fabrication machines from direct current signals

Journal of Intelligent Manufacturing

Sean Rooney

Emil Pitz

Kishore Pochiraju

2024/3/21

Mission-oriented Gaussian Process Motion Planning for UUVs over Complex Seafloor Terrain and Current Flows

IEEE Robotics and Automation Letters

Yewei Huang

Xi Lin

Mariana Hernandez-Rocha

Sanjai Narain

Kishore Pochiraju

...

2024/1/4

A Neural Network Transformer Model for Composite Microstructure Homogenization

arXiv preprint arXiv:2304.07877

Emil Pitz

Kishore Pochiraju

2023/4/16

Shape recovery of polymers with inclusions under multi-axial stress

Journal of Thermoplastic Composite Materials

Wenbo Liu

Kishore Pochiraju

2023/4

Autonomous Continuous Fiber Infill Generation for Composites 3D Printing

PROCEEDINGS OF THE AMERICAN SOCIETY FOR COMPOSITES-THIRTY-EIGHTH TECHNICAL CONFERENCE

MARIANA HERNANDEZ

AYTAC TEKER

KISHORE POCHIRAJU

2023

Estimation of spatial uncertainty in material property distributions within heterogeneous structures using optimized convolutional neural networks

Engineering Applications of Artificial Intelligence

Emil Pitz

Sean Rooney

Kishore Pochiraju

2023/1/1

AIMED: AI-Mediated Exploration of Design: An Experience Report

Sanjai Narain

Dana Chee

Pranav Iyer

Emily Mak

Ricardo Valdez

...

2023/5/9

Spindle Condition Monitoring With a Smart Vibration Sensor and an Optimized Deep Neural Network

Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems

Louis Oh

Emil Pitz

Kishore Pochiraju

2023/5/1

Stereolithography Printing and Sintering of Silicon Carbide (SiC) Ceramics via Oxidation-Bonding

Padmalatha Kakanuru

Kishore Pochiraju

2022/10/30

Competitions in Courses: Adding Value to Both Under-achieving and High-achieving Engineering Students

Sandra Clavijo

Louis Oh

Kishore Pochiraju

2022/8/23

Simulation of shrinkage during sintering of additively manufactured silica green bodies

Additive Manufacturing

Padmalatha Kakanuru

Kishore Pochiraju

2022/5/26

Surrogates for Computationally Expensive and Failure-Prone Simulators

Sean Rooney

Emil Pitz

Kishore Pochiraju

2022/5/3

Quantifying Uncertainty of Damage in Composites Using a Quasi Monte Carlo Technique

Journal of Verification, Validation and Uncertainty Quantification

Emil J Pitz

Kishore V Pochiraju

2022/3/1

AI/ML for Quantification and Calibration of Property Uncertainty in Composites

Emil Pitz

Kishore Pochiraju

2022/11/30

Experimental Calibration of Randomness in Additively Manufactured Continuously Reinforced Composites

PROCEEDINGS OF THE AMERICAN SOCIETY FOR COMPOSITES-THIRTY-SEVENTH TECHNICAL CONFERENCE

AYTAC TEKER

EMIL PITZ

KISHORE V POCHIRAJU

2022

Virtual Elevator Pitch: Disruption or Opportunity?

Sandra Furnbach Clavijo

Kishore Pochiraju

2021/7/26

Detection of jamming and filament breakage in FDM using vibration of feeder stepper

Sean P Rooney

Emil Pitz

Kishore Pochiraju

2021/11/1

Magnetically Coupled Ball Drive for Actuation of Spherical Surfaces

2021/1/21

Efficient digital modeling and fabrication workflow for individualized ankle exoskeletons

Biruk A Gebre

Rodrigo Nogueira

Shubham Patidar

Robert Belle-Isle

Karen Nolan

...

2021/11/1

Fast design space exploration of nonlinear systems: Part I

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Sanjai Narain

Emily Mak

Dana Chee

Brendan Englot

Kishore Pochiraju

...

2021/10/19

See List of Professors in Kishore Pochiraju University(Stevens Institute of Technology)

Co-Authors

H-index: 98
Tsu-Wei Chou

Tsu-Wei Chou

University of Delaware

H-index: 42
Christos Christodoulatos

Christos Christodoulatos

Stevens Institute of Technology

H-index: 30
George Korfiatis

George Korfiatis

Stevens Institute of Technology

H-index: 21
Mark R. Blackburn, PhD

Mark R. Blackburn, PhD

Stevens Institute of Technology

H-index: 21
Ionut Florescu

Ionut Florescu

Stevens Institute of Technology

H-index: 18
Ramana Vinjamuri

Ramana Vinjamuri

University of Maryland, Baltimore County

academic-engine