Alok Singh Chauhan is a researcher affiliated with Galgotias University, Greater Noida, India, whose Scopus profile records research activity in areas associated with machine learning and related computational methods. The available Scopus Preview profile lists 57 documents, 409 citations and an h-index of 10, providing a bibliometric overview of the researcher’s indexed scholarly output and citation impact. The profile also lists recent work involving deep learning, machine learning classification, graph neural networks, parameter-efficient fine-tuning and predictive modelling. [1]

This academic recognition page presents information derived from the supplied Scopus profile and selected publications displayed within it. The article describes the documented research profile without making claims beyond the available source material.

Abstract

Alok Singh Chauhan is affiliated with Galgotias University, Greater Noida, India, and is represented in the supplied Scopus Preview profile as a researcher with a documented publication and citation record. The profile reports 57 indexed documents, 409 citations and an h-index of 10. Recent publications shown in the profile include studies of deep learning-based cognitive workload classification, supervised machine learning classifiers for monkeypox disease classification, graph neural networks for fraudulent transaction detection, parameter-efficient fine-tuning for continual image classification, and machine learning for shipment delay prediction. [1]

Keywords

Machine Learning; Deep Learning; Graph Neural Networks; Classification; Predictive Modelling; Cognitive Workload; Fraud Detection; Image Classification; Shipment Delay Prediction; Artificial Intelligence.

Introduction

Machine learning and deep learning are represented across the research works listed in the supplied Scopus profile. Chauhan’s recent indexed publications demonstrate application-oriented research involving classification, predictive modelling and neural-network-based approaches. The listed works span domains including cognitive workload analysis, healthcare-related classification, financial fraud detection, image classification and logistics prediction. [1]

The available profile indicates collaborative research activity, with multiple publications involving co-authors from different research and academic settings. The Scopus Preview page reports 154 co-authors associated with the profile. [1]

Research Profile

The supplied Scopus Preview profile identifies Chauhan, Alok Singh and associates the researcher with Galgotias University, Greater Noida, India. The profile provides the Scopus Author ID 57924434100 and ORCID identifier 0000-0002-9144-4381. At the time represented in the supplied document, the profile records 57 documents, 409 citations and an h-index of 10. [1]

Research Contributions

The publication titles displayed in the supplied profile indicate several identifiable areas of application within machine learning and deep learning:

• Deep learning-based classification of cognitive workload using functional connectivity features, representing an application of learning methods to cognitive workload analysis. [1]
• Comparative analysis of supervised machine learning classifiers integrated with deep learning models for monkeypox disease classification.
• Development of a risk-sensitive graph neural network model for fraudulent transaction detection. [1]
• Evaluation of parameter-efficient fine-tuning strategies for continual image classification.
• Application of machine learning modelling to shipment delay prediction. [1]

Collectively, these publications indicate an application-oriented research profile in which machine learning and deep learning techniques are examined for classification, prediction and detection tasks across multiple domains. The supplied profile does not provide sufficient methodological detail to independently assess the comparative performance of the models described in the publication titles.

Publications

The supplied Scopus Preview document displays several recent publications associated with Alok Singh Chauhan. The following list preserves the publication information available in that source:

1. V. Khemchandani, V. A. S. Chauhan, Alok Singh Chauhan, S. Fatima, D. S. Srivastava, V. H. Abdullayev, et al. Deep Learning-Based Classification of Cognitive Workload Using Functional Connectivity Features. Advance Sustainable Science, Engineering and Technology, 2026. The supplied profile records 1 citation for this publication. [1]
2. N. Chauhan, S. Yadav, Alok Singh Chauhan. Comparative analysis of supervised machine learning classifiers for classification of Monkeypox disease integrated with deep learning models. International Journal of System Assurance Engineering and Management, 2026. [1]
3. S. Srivastava, V. Gupta, Alok Singh Chauhan, S. Kumar, S. Rani, et al. ECCFD-GNN: A Novel Risk-Sensitive Graph Neural Network Model for Fraudulent Transaction Detection. Advance Sustainable Science, Engineering and Technology, 2026. [1]
4. N. Agarwal, Alok Singh Chauhan, P. A. H. Bours. Comparative Evaluation of Parameter-Efficient Fine-Tuning Strategies for Continual Image Classification. Advance Sustainable Science, Engineering and Technology, 2026. [1]
5. P. Vishwari, R. N. Thakker, S. Verma, Alok Singh Chauhan. Machine Learning Model for Shipment Delay Prediction. Proceedings of the International Conference on Circuit, Power and Computing Technologies, ICCPCT 2026, 2026. [1]

No DOI identifiers are provided for these publications in the supplied PDF. Accordingly, no DOI has been inferred or added to avoid introducing bibliographic information not supported by the source.

Research Impact

The supplied Scopus profile reports 409 citations across 57 documents and an h-index of 10. These figures provide quantitative indicators of the indexed publication and citation record represented by the profile.  The profile also reports 154 co-authors, indicating substantial collaborative activity within the indexed record.

The recent publications shown in the source demonstrate research applications across cognitive workload analysis, disease classification, financial fraud detection, continual image classification and logistics prediction. The supplied document does not provide sufficient evidence to attribute specific real-world deployments, commercial outcomes or societal effects to these studies.

Award Suitability

For consideration under the Innovative Research Award associated with the Indian Scientist Awards, the available profile provides documented evidence of research activity in machine learning and related computational methods. The record includes 57 Scopus-indexed documents, 409 citations and an h-index of 10, together with recent publications addressing multiple machine-learning applications. [1]

The documented publication themes are relevant to an award category focused on research innovation, particularly because the listed works address diverse computational problems using supervised learning, deep learning, graph neural networks and parameter-efficient fine-tuning. Final award decisions, however, should be based on the applicable award criteria and the complete submitted research record rather than bibliometric indicators alone.

Conclusion

Alok Singh Chauhan’s supplied Scopus profile documents an active research record affiliated with Galgotias University, Greater Noida, India. The profile reports 57 documents, 409 citations and an h-index of 10, alongside recent research addressing machine learning and deep learning applications in areas such as cognitive workload classification, disease classification, fraud detection, image classification and shipment-delay prediction. [1] These documented characteristics provide the principal academic information presented on this recognition page.

External Links

• • Scopus
  • Google Scholar profile
  • ORCID

References

1. Elsevier B.V. Scopus Preview Author Profile: Chauhan, Alok Singh. Galgotias University, Greater Noida, India. Scopus Author ID: 57924434100. Supplied profile records 57 documents, 409 citations, h-index 10 and 154 co-authors, with selected publications from 2026.
   https://www.scopus.com/authid/detail.uri?authorId=57924434100
2. SQL injection attack: Quick view
   https://map.researchcommons.org/mjcs/vol3/iss1/6/
3. Artificial intelligence techniques based on federated learning in smart healthcare
   https://www.taylorfrancis.com/chapters/edit/10.1201/9781003489368-5/
4. Comparative analysis of supervised machine and deep learning algorithms for kyphosis disease detection
   https://www.mdpi.com/2076-3417/13/8/5012