2026 Shonali Krishnaswamy: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	39	9687	9409	299	298	227	7153

Overview

Shonali Krishnaswamy is affiliated with Monash University in Australia and has contributed extensively to the field of computer science, with a focus on artificial intelligence and related subfields. Their research spans a broad range of topics including data mining algorithms, machine learning in healthcare, and data stream mining techniques.

Their work frequently appears in several publication venues, including:

Proceedings of the AAAI Conference on Artificial Intelligence
OPAL (Open@LaTrobe) (La Trobe University)
Portsmouth Research Portal (University of Portsmouth)
Proceedings of the AAAI Symposium Series
2022 IEEE 17th International Conference on Control & Automation (ICCA)

Their main fields of study center on computer science, particularly:

Artificial Intelligence
Computer Networks and Communications
Information Systems
Signal Processing
Molecular Biology

Key research topics include:

Data Mining Algorithms and Applications
Topic Modeling
Machine Learning in Healthcare
Data Stream Mining Techniques
Time Series Analysis and Forecasting
Fuzzy Logic and Control Systems
Neural Networks and Applications

Several papers authored or co-authored by Shonali Krishnaswamy showcase the scope and depth of their scholarship. Notable publications include:

"Resource-aware Mining of Data Streams," 2020, Portsmouth Research Portal (University of Portsmouth)
"Rule Ensemble Learning Using Hierarchical Kernels in Structured Output Spaces," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
"KAMEL: Knowledge Aware Medical Entity Linkage to Automate Health Insurance Claims Processing," 2024, Proceedings of the AAAI Conference on Artificial Intelligence
"Knowledge Aware Automated Health Claims Processing with Medical Ontologies and Large Language Models," 2024, Proceedings of the AAAI Symposium Series
"Inductive Representation Learning of Multiple ICD Codes for Healthcare," 2022, 2022 IEEE 17th International Conference on Control & Automation (ICCA)

Shonali Krishnaswamy has collaborated with several frequent co-authors, including:

Sheng Jie Lui
Cheng Xiang
Mohamed Medhat Gaber
Arkady Zaslavsky
Naveen Nair

Best Publications

Mining data streams: a review

Mohamed Medhat Gaber;Arkady Zaslavsky;Shonali Krishnaswamy

1376
Citations
Deep convolutional neural networks on multichannel time series for human activity recognition

Jian Bo Yang;Minh Nhut Nguyen;Phyo Phyo San;Xiao Li Li

1140
Citations
Rank-GeoFM: A Ranking based Geographical Factorization Method for Point of Interest Recommendation

Xutao Li;Gao Cong;Xiao-Li Li;Tuan-Anh Nguyen Pham

397
Citations
Verity: a QoS metric for selecting Web services and providers

S. Kalepu;S. Krishnaswamy;S.W. Loke

249
Citations
Using On-the-Move Mining for Mobile Crowdsensing

Wanita Sherchan;Prem P. Jayaraman;Shonali Krishnaswamy;Arkady Zaslavsky

168
Citations
Reputation = f(user ranking, compliance, verity)

S. Kalepu;S. Krishnaswamy;Seng Wai Loke

139
Citations
Adaptive mobile activity recognition system with evolving data streams

Zahraa Said Abdallah;Mohamed Medhat Gaber;Bala Srinivasan;Shonali Krishnaswamy

131
Citations
A survey of classification methods in data streams

Mohamed Medhat Gaber;Arkady B. Zaslavsky;Shonali Krishnaswamy

127
Citations
Reasoning about Context in Uncertain Pervasive Computing Environments

Pari Delir Haghighi;Shonali Krishnaswamy;Arkady Zaslavsky;Mohamed Medhat Gaber

98
Citations
Activity Recognition with Evolving Data Streams: A Review

Zahraa S. Abdallah;Mohamed Medhat Gaber;Bala Srinivasan;Shonali Krishnaswamy

92
Citations
Predicting reasoning performance using ontology metrics

Yong-Bin Kang;Yuan-Fang Li;Shonali Krishnaswamy

92
Citations
Estimating computation times of data-intensive applications

S. Krishnaswamy;S.W. Loke;A. Zaslavsky

86
Citations
A fuzzy model for reasoning about reputation in web services

Wanita Sherchan;Seng W. Loke;Shonali Krishnaswamy

85
Citations
Cost-efficient mining techniques for data streams

Mohamed Medhat Gaber;Shonali Krishnaswamy;Arkady Zaslavsky

85
Citations
On-board Mining of Data Streams in Sensor Networks

Mohamed Medhat Gaber;Shonali Krishnaswamy;Arkady Zaslavsky

83
Citations
Collision Pattern Modeling and Real-Time Collision Detection at Road Intersections

F.D. Salim;Seng Wai Loke;A. Rakotonirainy;B. Srinivasan

80
Citations
Data stream mining

Mohamed Medhat Gaber;Arkady B. Zaslavsky;Shonali Krishnaswamy

80
Citations
Web Information Systems Engineering - Wise 2005 Workshops

Mike Dean;Yuanbo Guo;Woochun Jun;Roland Kaschek

69
Citations
MARS: A Personalised Mobile Activity Recognition System

Joao B'rtolo Gomes;Shonali Krishnaswamy;Mohamed Medhat Gaber;Pedro A.C. Sousa

68
Citations
AnyNovel: detection of novel concepts in evolving data streams: An application for activity recognition

Zahraa Said Abdallah;Mohamed Medhat Gaber;Bala Srinivasan;Shonali Krishnaswamy

67
Citations

Frequent Co-Authors

Arkady Zaslavsky Deakin University

Seng Wai Loke Deakin University

Mohamed Medhat Gaber Birmingham City University

Andry Rakotonirainy Queensland University of Technology

Bala Srinivasan Monash University

Xiaoli Li Singapore University of Technology and Design

João Gama University of Porto

Gao Cong Nanyang Technological University

Prem Prakash Jayaraman Swinburne University of Technology

Kevin Chen-Chuan Chang University of Illinois at Urbana-Champaign

External Links

Personal website of Shonali Krishnaswamy Google Scholar page

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