activity
20162026
most citedThe Internet of Things for Smart Manufacturing: A Review

444 citations · 465 across the 11 of their papers we have counts for

collaborators

14 papers

eess.SY2026★ 444 cited

The Internet of Things for Smart Manufacturing: A Review

Hui Yang, Soundar Kumara, Satish Bukkapatnam +1

The modern manufacturing industry is investing in new technologies such as the Internet of Things (IoT), big data analytics, cloud computing and cybersecurity to cope with system c…

stat.ML2023

EBLIME: Enhanced Bayesian Local Interpretable Model-agnostic Explanations

Yuhao Zhong, Anirban Bhattacharya, Satish Bukkapatnam

We propose EBLIME to explain black-box machine learning models and obtain the distribution of feature importance using Bayesian ridge regression models. We provide mathematical exp…

cs.LG2022★ 2 cited

Unsupervised spectral-band feature identification for optimal process discrimination

Akash Tiwari, Satish Bukkapatnam

Changes in real-world dynamic processes are often described in terms of differences in energies of a set of spectral-bands . Given continuous…

stat.ME2022

Hypothesis Tests with Functional Data for Surface Quality Change Detection in Surface Finishing Processes

Shilan Jin, Rui Tuo, Akash Tiwari +5

This work is concerned with providing a principled decision process for stopping or tool-changing in a surface finishing process. The decision process is supposed to work for produ…

cs.LG2021★ 2 cited

Towards Futuristic Autonomous Experimentation--A Surprise-Reacting Sequential Experiment Policy

Imtiaz Ahmed, Satish Bukkapatnam, Bhaskar Botcha +1

An autonomous experimentation platform in manufacturing is supposedly capable of conducting a sequential search for finding suitable manufacturing conditions by itself or even for…

physics.app-ph2021

Ripple formation and its effect on the multi-scale microstructure of Directed Energy Deposition (DED)-printed 316L components

Himanshu Balhara, Bhaskar Botcha, Sarah Wolff +1

An experimental study is presented to characterize the ripple formations in the directed energy deposition (DED) process and study the influence of the ripples on the heterogenous…

physics.app-ph2020★ 5 cited

A Review of the Anomalies in Directed Energy Deposition (DED) Processes and Potential Solutions

Michael Liu, Abhishek Kumar, Satish Bukkapatnam +1

Directed Energy Deposition (DED) processes offer one of the most versatile current techniques to additively manufacture and repair metallic components that have generatively design…

physics.med-ph2020

Towards Non-Contact Glucose Sensing in Aqueous Turbid Medium at ~1.1 Meters Distance

Daqing Piao, John O'Hara, Satish Bukkapatnam +1

This work demonstrates a non-contact diffuse reflectance approach with a working distance of ~1.1 meters for the potential of glucose sensing. Non-contact diffuse reflectance over…

physics.app-ph2019

Artificial neural network to estimate the refractive index of a liquid infiltrating a chiral sculptured thin film

Patrick D. McAtee, Satish T. S. Bukkapatnam, Akhlesh Lakhtakia

We theoretically expanded the capabilities of optical sensing based on surface plasmon resonance in a prism-coupled configuration by incorporating artificial neural networks (ANNs)…

eess.SP2018★ 3 cited

Simultaneous 12-Lead Electrocardiogram Synthesis using a Single-Lead ECG Signal: Application to Handheld ECG Devices

Kahkashan Afrin, Parikshit Verma, Sanjay S. Srivatsa +1

Recent introduction of wearable single-lead ECG devices of diverse configurations has caught the intrigue of the medical community. While these devices provide a highly affordable…

cs.CV2018★ 1 cited

Consistent estimation of the max-flow problem: Towards unsupervised image segmentation

Ashif Sikandar Iquebal, Satish Bukkapatnam

Advances in the image-based diagnostics of complex biological and manufacturing processes have brought unsupervised image segmentation to the forefront of enabling automated, on th…

stat.ML2018★ 8 cited

Balanced Random Survival Forests for Extremely Unbalanced, Right Censored Data

Kahkashan Afrin, Gurudev Illangovan, Sanjay S. Srivatsa +1

Accuracies of survival models for life expectancy prediction as well as critical-care applications are significantly compromised due to the sparsity of samples and extreme imbalanc…

physics.data-an2017

Change detection in complex dynamical systems using intrinsic phase and amplitude synchronization

Ashif Sikandar Iquebal, Satish Bukkapatnam, Arun Srinivasa

We present an approach for the detection of sharp change points (short-lived and persistent) in nonlinear and nonstationary dynamic systems under high levels of noise by tracking t…

cond-mat.mtrl-sci2016

Surface plastic flow in polishing of rough surfaces

Ashif S. Iquebal, Dinakar Sagapuram, Satish Bukkapatnam

We report electron microscopy observations of the surface plastic flow in polishing of rough metal surfaces with a controlled spherical asperity structure. We show that asperity--a…