Works (42)

Updated: April 15th, 2024 04:36

2024 article

A generalized hypothesis test for community structure in networks

Yanchenko, E., & Sengupta, S. (2024, March 11). NETWORK SCIENCE, Vol. 3.

By: E. Yanchenko* & S. Sengupta*

author keywords: Assortative mixing; bootstrap; community detection; random graphs
Sources: Web Of Science, ORCID
Added: April 8, 2024

2023 journal article

A natural language processing approach to categorise contributing factors from patient safety event reports

BMJ Health & Care Informatics, 30(1), e100731.

By: A. Tabaie*, S. Sengupta n, Z. Pruitt* & A. Fong*

author keywords: Machine Learning; Electronic Health Records
MeSH headings : Humans; Natural Language Processing; Patient Safety; Algorithms; Machine Learning
TL;DR: Information-rich sentence selection can be incorporated to extract the sentences in free-text event narratives in which the contributing factor information is embedded, and boosted the contribute factor categorisation performance. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: June 26, 2023

2023 journal article

Automated Error Labeling in Radiation Oncology via Statistical Natural Language Processing

DIAGNOSTICS, 13(7).

By: I. Ganguly n, G. Buhrman*, E. Kline, S. Mun* & S. Sengupta n

author keywords: patient safety; medical errors; neural networks; text classification; statistical modeling
TL;DR: Text-classification models developed with clinical data from a full service radiation oncology center (test center) that can predict the broad level and first level category of an error given a free-text description of the error are demonstrated. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Sources: Web Of Science, ORCID
Added: May 9, 2023

2023 journal article

Core-periphery structure in networks: A statistical exposition

Statistics Surveys, 17(none), 42–74.

By: E. Yanchenko n & S. Sengupta n

author keywords: Networks; core-periphery structure; meso-scale features
TL;DR: The current research landscape is summarized by reviewing the metrics and models that have been used for quantitative studies on core-periphery structure, and various inferential problems in this context are explored, such as estimation, hypothesis testing, and Bayesian inference. (via Semantic Scholar)
Sources: Web Of Science, ORCID, Crossref
Added: May 30, 2023

2023 journal article

Development and validation of a predictive model for the diagnosis of rheumatic heart disease in low-income countries based on two cross-sectional studies

INTERNATIONAL JOURNAL OF CARDIOLOGY CARDIOVASCULAR RISK AND PREVENTION, 18.

By: M. Ray*, S. Guha, R. Dhungana*, A. Karak, B. Choudhury, B. Ray*, H. Zubair*, M. Ray* ...

author keywords: Low-income countries; Early detection; Educational intervention; Rheumatic heart disease; Secondary prophylaxis
TL;DR: A simple questionnaire-based predictive instrument could identify children at higher risk for this disease in low-income countries where RHD remains prevalent, and echocardiography could then be used in these high-risk children to detect RHD in its early stages. (via Semantic Scholar)
UN Sustainable Development Goal Categories
1. No Poverty (OpenAlex)
Sources: Web Of Science, ORCID
Added: August 14, 2023

2023 chapter

How AI can Help us Understand and Mitigate Error Propagation in Radiation Oncology

In Artificial Intelligence in Radiation Oncology (pp. 305–334).

By: E. Kline & S. Sengupta n

Source: ORCID
Added: May 31, 2023

2023 article

Statistical Challenges in Online Controlled Experiments: A Review of A/B Testing Methodology

Larsen, N., Stallrich, J., Sengupta, S., Deng, A., Kohavi, R., & Stevens, N. T. (2023, October 17). AMERICAN STATISTICIAN, Vol. 10.

By: N. Larsen n, J. Stallrich n, S. Sengupta n, A. Deng, R. Kohavi & N. Stevens*

author keywords: A/B testing; Literature review; Online controlled experiments; Randomized controlled trials; Treatment effect estimation
TL;DR: Challenges that require new statistical methodologies to address online experimentation are reviewed, placing the current methodologies within their relevant statistical lineages and providing illustrative examples of OCE applications. (via Semantic Scholar)
Sources: ORCID, Web Of Science
Added: September 9, 2023

2023 conference paper

Wildfire Pollution Emissions, Exposure, and Human Health: A Growing Air Quality Control Issue

Ali, M. S., Aneja, V., Ganguly, I., Sanyal, S., & Sengupta, S. (2023, November 8).

By: M. Ali n, V. Aneja n, I. Ganguly n, S. Sanyal* & S. Sengupta n

Source: ORCID
Added: March 1, 2024

2022 journal article

SAFER: Social Capital-Based Friend Recommendation to Defend against Phishing Attacks

Proceedings of the International AAAI Conference on Web and Social Media, 16, 241–252.

By: Z. Guo*, J. Cho*, I. Chen*, S. Sengupta n, M. Hong* & T. Mitra*

TL;DR: A Social cApital-based FriEnd Recommendation scheme, called SAFER, that can protect OSN users from phishing attacks and quantify three dimensions of social capital, namely, structural, cognitive, and relational, based on user features obtained from real datasets and model a user's friending behavior based on their social capital. (via Semantic Scholar)
Source: ORCID
Added: May 31, 2023

2022 journal article

Scalable Community Extraction of Text Networks for Automated Grouping in Medical Databases

Journal of Data Science, 1–20.

By: T. Komolafe, A. Fong* & S. Sengupta n

TL;DR: A well-known community extraction method is adapted to develop a scalable algorithm for extracting groups of similar documents in large text databases and it is demonstrated that the groups generated from community extraction are much more accurate than manual tagging by frontline workers. (via Semantic Scholar)
Sources: ORCID, Crossref
Added: May 31, 2023

2022 journal article

Using Community Detection Techniques to Identify Themes in COVID-19–Related Patient Safety Event Reports

Journal of Patient Safety, 18(8), e1196–e1202.

MeSH headings : Humans; COVID-19 / epidemiology; Pandemics; COVID-19 Testing; Patient Safety; Research Report
TL;DR: This study uses community detection techniques to identify and facilitate analysis of themes in patient safety event (PSE) reports to better understand COVID-19 pandemic’s impact on patient safety. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Sources: Crossref, ORCID
Added: June 2, 2023

2022 conference paper

Wildfire Pollution Exposure and Human Health: A Growing Air Quality and Public Health Issue

Environmental Science Proceedings, 19(1), 59.

By: S. Sengupta n, V. Aneja n & J. Kravchenko*

Event: ECAS 2022

TL;DR: The impact of poor air quality on human health is examined, and some strategies are discussed to forecast the burden of diseases associated with exposures to wildfire events, both short-and long-term, and help develop mitigation strategies. (via Semantic Scholar)
Sources: ORCID, Crossref
Added: May 31, 2023

2021 article

Broader impacts of network monitoring: Its role in government, industry, technology, and beyond

Stevens, N. T., Wilson, J. D., Driscoll, A. R., McCulloh, I., Michailidis, G., Paris, C., … Sparks, R. (2021, September 9). QUALITY ENGINEERING, Vol. 33.

By: N. Stevens*, J. Wilson*, A. Driscoll*, I. McCulloh*, G. Michailidis*, C. Paris*, K. Paynabar*, M. Perry* ...

author keywords: graphs; network monitoring; network science; statistical process monitoring; surveillance
TL;DR: There is a strong consensus that these sectors each play an important role in the innovation of network monitoring techniques, and applications to cyber security, transportation, infectious disease monitoring, engineering, and artificial intelligence are discussed. (via Semantic Scholar)
UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure (OpenAlex)
Sources: Web Of Science, ORCID
Added: October 26, 2021

2021 journal article

Foundations of network monitoring: Definitions and applications

Quality Engineering, 33(4), 719–730.

By: N. Stevens*, J. Wilson*, A. Driscoll*, I. McCulloh*, G. Michailidis*, C. Paris*, K. Paynabar*, M. Perry* ...

author keywords: graphs; network monitoring; network science; statistical process monitoring; surveillance
TL;DR: The definition of network monitoring is discussed, and how it may be similar to or different from network surveillance and network change-point detection, to uncover ambiguity and contradictions associated with these terms. (via Semantic Scholar)
Sources: Web Of Science, ORCID, Crossref
Added: November 8, 2021

2021 journal article

Online Social Deception and Its Countermeasures: A Survey

IEEE Access, 9, 1770–1806.

By: Z. Guo*, J. Cho*, I. Chen*, S. Sengupta n, M. Hong* & T. Mitra*

author keywords: Online social deception; cyberattacks; security; defense; prevention; detection; and response; social media; online social networks
TL;DR: An extensive survey is conducted, covering the multidisciplinary concept of social deception, types of OSD attacks and their unique characteristics compared to other social network attacks and cybercrimes, and comprehensive defense mechanisms embracing prevention, detection, and response (or mitigation) againstOSD attacks along with their pros and cons. (via Semantic Scholar)
Sources: Web Of Science, Crossref
Added: January 25, 2021

2021 journal article

Research in network monitoring: Connections with SPM and new directions

Quality Engineering, 33(4), 736–748.

By: N. Stevens*, J. Wilson*, A. Driscoll*, I. McCulloh*, G. Michailidis*, C. Paris*, P. Parker*, K. Paynabar* ...

author keywords: graphs; network monitoring; network science; surveillance
Sources: Web Of Science, ORCID, Crossref
Added: October 26, 2021

2021 journal article

Scalable Estimation of Epidemic Thresholds via Node Sampling

Sankhya A, 84(1), 321–344.

By: A. Dasgupta* & S. Sengupta n

author keywords: Epidemic threshold; Networks; Sampling; Random walk; Configuration model; Epidemiology
TL;DR: This paper identifies two major challenges that are caused by high computational and sampling complexity of the epidemic threshold and develops two statistically accurate and computationally efficient approximation techniques to address these issues under the Chung-Lu modeling framework. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Sources: ORCID, Web Of Science, Crossref
Added: July 19, 2021

2021 journal article

The Impact of COVID-19 on Medical Device Reporting and Investigation

Patient Safety, 9, 28–35.

Contributors: S. Sengupta n

TL;DR: At the current time, it is unclear how manufacturers will address delayed clinical management of implant devices and other uninvestigated malfunctions after the pandemic and how this will impact patient safety. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Source: ORCID
Added: May 31, 2023

2021 journal article

The interdisciplinary nature of network monitoring: Advantages and disadvantages

Quality Engineering, 33(4), 731–735.

By: N. Stevens*, J. Wilson*, A. Driscoll*, I. McCulloh*, G. Michailidis*, C. Paris*, P. Parker*, K. Paynabar* ...

author keywords: statistical process monitoring; network monitoring; network science; graphs; surveillance
TL;DR: It is largely agreed that integrating expertise from many disciplines drives innovation in network monitoring development, but several notable barriers are discussed that limit the area’s full potential. (via Semantic Scholar)
UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure (OpenAlex)
Sources: Web Of Science, ORCID, Crossref
Added: October 26, 2021

2020 journal article

Online Social Deception and Its Countermeasures: A Survey

IEEE Access.

By: Z. Guo, J. Cho, R. Chen, S. Sengupta, M. Hong & T. Mitra

Source: ORCID
Added: May 31, 2023

2020 journal article

Scalable estimation of epidemic thresholds via node sampling

ArXiv Preprint ArXiv:2007.14820.

By: A. Dasgupta & S. Sengupta

Source: ORCID
Added: May 31, 2023

2020 journal article

The value of summary statistics for anomaly detection in temporally evolving networks: A performance evaluation study

Applied Stochastic Models in Business and Industry, 36(6), 980–1013.

By: L. Kodali, S. Sengupta, L. House & W. Woodall

Source: ORCID
Added: May 31, 2023

2019 journal article

A Bootstrap-Based Approach for Improving Measurements by Retarding Potential Analyzers

Journal of Geophysical Research: Space Physics, 124(6), 4569–4584.

By: S. Debchoudhury, S. Sengupta, G. Earle & W. Coley

Source: ORCID
Added: May 31, 2023

2019 journal article

A Bootstrap-based Inference Framework for Testing Similarity of Paired Networks

ArXiv Preprint ArXiv:1911.06869.

By: S. Bhadra, K. Chakraborty, S. Sengupta & S. Lahiri

Source: ORCID
Added: May 31, 2023

2019 thesis

Parameter estimation from retarding potential analyzers in the presence of realistic noise

Virginia Tech.

By: S. Debchoudhury

Source: ORCID
Added: May 31, 2023

2019 journal article

Statistical evaluation of spectral methods for anomaly detection in static networks

Network Science, 7(3), 319–352.

By: T. Komolafe, A. Quevedo, S. Sengupta & W. Woodall

Source: ORCID
Added: May 31, 2023

2019 journal article

Toward epidemic thresholds on temporal networks: a review and open questions

Applied Network Science, 4(1), 1–21.

By: J. Leitch*, K. Alexander* & S. Sengupta*

TL;DR: An overview of methods to predict the epidemic threshold for temporal contact network models is provided, and areas that remain unexplored are discussed. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Sources: Crossref, ORCID
Added: May 31, 2023

2019 journal article

Using artificial neural networks to predict pH, ammonia, and volatile fatty acid concentrations in the rumen

Journal of Dairy Science, 102(10), 8850–8861.

By: M. Li, S. Sengupta & M. Hanigan

Source: ORCID
Added: May 31, 2023

2018 journal article

A block model for node popularity in networks with community structure

Journal of the Royal Statistical Society: Series B (Statistical Methodology), 80(2), 365–386.

By: S. Sengupta & Y. Chen

Source: ORCID
Added: May 31, 2023

2018 journal article

A block model for node popularity in networks with community structure Series B Statistical methodology

By: S. Sengupta & Y. Chen

Source: ORCID
Added: May 31, 2023

2018 journal article

Anomaly detection in static networks using egonets

ArXiv Preprint ArXiv:1807.08925.

By: S. Sengupta

Source: ORCID
Added: May 31, 2023

2018 journal article

Discussion of “Statistical methods for network surveillance”

Discussion of “Statistical methods for network surveillance.” Applied Stochastic Models in Business and Industry, 34(4), 446–448.

By: S. Sengupta & W. Woodall

Source: ORCID
Added: May 31, 2023

2018 journal article

Performance evaluation of social network anomaly detection using a moving window--based scan method

Quality and Reliability Engineering International, 34(8), 1699–1716.

Srijan Sengupta

Source: ORCID
Added: May 31, 2023

2018 journal article

Performance evaluation of social network anomaly detection using a moving window-based scan method

Quality and Reliability Engineering International, 34(8), 1699–1716.

By: M. Zhao*, A. Driscoll*, S. Sengupta*, R. Fricker*, D. Spitzner* & W. Woodall*

TL;DR: Simulation studies are used to show that an improved detection rate and shortened monitoring delays can be achieved by lagging the moving window used for standardization, lowering the signaling threshold, and using shorter moving windows at the initial stage of monitoring. (via Semantic Scholar)
UN Sustainable Development Goal Categories
10. Reduced Inequalities (OpenAlex)
Source: Crossref
Added: June 4, 2023

2018 journal article

The effect of temporal aggregation level in social network monitoring

PLOS ONE, 13(12), e0209075.

By: M. Zhao*, A. Driscoll*, S. Sengupta*, N. Stevens*, R. Fricker* & W. Woodall*

Ed(s): P. Dorta-González

MeSH headings : Computer Simulation; Humans; Signal Processing, Computer-Assisted; Social Networking; Stochastic Processes; Time Factors
TL;DR: This work demonstrates that temporal aggregation at high levels leads to a considerable decrease in the ability to detect an anomaly within a specified time period, and provides a framework for the study of other combinations of network models, surveillance methods, and types of anomalies. (via Semantic Scholar)
UN Sustainable Development Goal Categories
10. Reduced Inequalities (OpenAlex)
Source: Crossref
Added: June 3, 2023

2018 journal article

The effect of temporal aggregation level in social network monitoring

Plos One, 13(12), e0209075.

Srijan Sengupta

Source: ORCID
Added: May 31, 2023

2016 journal article

A subsampled double bootstrap for massive data

Journal of the American Statistical Association, 111(515), 1222–1232.

By: S. Sengupta, S. Volgushev & X. Shao

Source: ORCID
Added: May 31, 2023

2016 thesis

Statistical analysis of networks with community structure and bootstrap methods for big data

University of Illinois at Urbana-Champaign.

By: S. Sengupta

Source: ORCID
Added: May 31, 2023

2015 journal article

Recent developments in bootstrap methods for dependent data

Journal of Time Series Analysis, 36(3), 462–480.

By: G. Cavaliere, D. Politis, A. Rahbek, P. Bertail, S. Clémençon, J. Tressou, others

Source: ORCID
Added: May 31, 2023

2015 journal article

Spectral clustering in heterogeneous networks

Statistica Sinica, 1081–1106.

By: S. Sengupta & Y. Chen

Source: ORCID
Added: May 31, 2023

2015 journal article

The dependent random weighting

Journal of Time Series Analysis, 36(3), 315–326.

By: S. Sengupta, X. Shao & Y. Wang

Source: ORCID
Added: May 31, 2023

2010 conference paper

Modeling the zero coupon yield curve: a regression approach

Global Conference of Actuaries, 12.

By: S. Sengupta

Source: ORCID
Added: May 31, 2023

Employment

Updated: February 11th, 2021 12:45

2020 - present

North Carolina State University Raleigh, North Carolina, US
Assistant Professor Statistics

2016 - 2020

Virginia Tech Blacksburg, Virginia, US
Assistant Professor Statistics

2010 - 2011

Max Life Insurance Co Ltd New Delhi, Delhi, IN
Actuary

2009 - 2010

ICICI Prudential Life Insurance Company Mumbai, Maharashtra, IN
Actuary

Education

Updated: February 11th, 2021 12:44

2011 - 2016

University of Illinois at Urbana Champaign Urbana, Illinois, US
Ph.D. Statistics

2007 - 2009

Indian Statistical Institute Kolkata, West Bengal, IN
M.Stat Statistics

2004 - 2007

Indian Statistical Institute Kolkata, West Bengal, IN
B.Stat Statistics

Funding History

Funding history based on the linked ORCID record. Updated: February 11th, 2021 12:36

grant August 1, 2019 - July 31, 2022
Collaborative Research: Statistical algorithms for anomaly detection and patterns recognition in patient care and safety event reports
United States National Library of Medicine

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