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Dr. Ayswarya R Kurup

Assistant Professor (Sr. Gd.), School of Artificial Intelligence, Coimbatore Campus

Qualification: M.Tech., Ph.D
rk_ayswarya@cb.amrita.edu
Orcid Profile
Google Scholar Profile
Nature of Association: Regular

Bio

Dr. Ayswarya R Kurup is currently working as an Assistant Professor (Sr. Gd.) in the School of Artificial Intelligence at Amrita Vishwa Vidyapeetham, Coimbatore.   She pursued her Ph.D. in Computer Science and Engineering from Amrita  Vishwa Vidyapeetham, Amritapuri.

Publications

Book Chapter

Year : 2025

TamilFacts: A Comprehensive Multimodal Dataset of Fact-Checked Social Media Content in Tamil Language

Cite this Research Publication : Meclin A. Francis, Ayswarya R. Kurup, B. Premjith, Bharathi Raja Chakravarthi, Saranya Rajiakodi, TamilFacts: A Comprehensive Multimodal Dataset of Fact-Checked Social Media Content in Tamil Language, Communications in Computer and Information Science, Springer Nature Switzerland, 2025, https://doi.org/10.1007/978-3-032-05855-3_13

Publisher : Springer Nature Switzerland

Journal Article

Year : 2025

On the adversarial inconsistencies in crowdsourcing navigation systems

Cite this Research Publication : Ayswarya R. Kurup, G. P. Sajeev, On the adversarial inconsistencies in crowdsourcing navigation systems, Journal of Intelligent Transportation Systems, Informa UK Limited, 2025, https://doi.org/10.1080/15472450.2025.2559412

Publisher : Informa UK Limited

Year : 2021

Aggregating Reliable Submissions in Crowdsourcing Systems

Cite this Research Publication : Ayswarya R. Kurup, G. P. Sajeev, J. Swaminathan, "Aggregating Reliable Submissions in Crowdsourcing Systems", in IEEE Access, vol. 9, pp. 153058-153071, 2021, doi: 10.1109/ACCESS.2021.3127994.

Publisher : IEEE

Year : 2020

Analysing the characteristics of crowdsourcing platforms for improving throughput

Cite this Research Publication : A. R. Kurup and Dr. Sajeev G. P., “Analysing the characteristics of crowdsourcing platforms for improving throughput”, 2020.

Publisher : 2020.

Year : 2020

A task recommendation scheme for crowdsourcing based on expertise estimation

Cite this Research Publication : A. R. Kurup and Dr. Sajeev G. P., “A task recommendation scheme for crowdsourcing based on expertise estimation”, Electronic Commerce Research and Applications, vol. 41, p. 100946, 2020.

Publisher : Electronic Commerce Research and Applications

Year : 2014

Security Enhanced Privacy Preserving Data sharing With Random ID Generation

Cite this Research Publication : Kurup, Security Enhanced Privacy Preserving Data sharing With Random ID Generation, International Journal of Scientific and Research Engineering (IJSRE), [publisher], 2014, [url]

Publisher : Springer Nature Singapore

Conference Paper

Year : 2024

Adaptive Lotus Effect Optimization with DKN for Fake News Detection on Social Media with Tamil Language

Cite this Research Publication : F. L. Mecline Jose, S. Jeyantha Jafna Juliet, D. Jasmine David, T. Jemima Jebaseeli, Ayswarya R. Kurup, B. Premjith, Adaptive Lotus Effect Optimization with DKN for Fake News Detection on Social Media with Tamil Language, Algorithms for Intelligent Systems, Springer Nature Singapore, 2024, https://doi.org/10.1007/978-981-97-3191-6_6

Publisher : Springer Nature Singapore

Year : 2019

Aggregating Unstructured Submissions for Reliable Answers in Crowdsourcing Systems

Cite this Research Publication : A. R. Kurup and Dr. Sajeev G. P., “Aggregating Unstructured Submissions for Reliable Answers in Crowdsourcing Systems”, in 2019 9th International Symposium on Embedded Computing and System Design (ISED), 2019.

Publisher : 2019 9th International Symposium on Embedded Computing and System Design (ISED)

Year : 2017

Task recommendation in reward-based crowdsourcing systems

Cite this Research Publication :
A. R. Kurup and Dr. Sajeev G. P., “Task recommendation in reward-based crowdsourcing systems”, in 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2017

Publisher : 2017 International Conference on Advances in Computing, Communications and Informatics

Conference Proceedings

Year : 2018

A Trace Driven Analysis of Incentive Based Crowdsourcing Workload

Cite this Research Publication :

Publisher : 2018 International Conference on Data Science and Engineering (ICDSE)

Year : 2018

Task Personalization for Inexpertise Workers in Incentive Based Crowdsourcing Platforms

Cite this Research Publication : A. R. Kurup and Dr. Sajeev G. P., “Task Personalization for Inexpertise Workers in Incentive Based Crowdsourcing Platforms”, 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI). IEEE, Bangalore, India, India, pp. pp. 286-292., 2018

Publisher : 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), IEEE

Peer Reviewed
  • A. R. Kurup, M. K. Kar, M. Mishra, S. Dev and D. Raj Neog, “Transformer-Based Generative Adversarial Network With Multi-Scale Temporal Attention for ECG Synthesis and PQRST Feature Preservation,” in IEEE Access, vol. 14, pp. 11289-11312, 2026, doi: 10.1109/ACCESS.2026.3656370.
  • M. A. Francis, A. R. Kurup, B. Premjith and B. Raja Chakravarthi, “Multimodal Fake News Classification in Tamil Using Fact-Checked Social Media Content and Cost-Sensitive Learning,” in IEEE Access, vol. 13, pp. 157477-157510, 2025, doi: 10.1109/ACCESS.2025.3606585.
  • Kurup, A.R., Kar, M.K., Hashunao, S. et al. A truth inference scheme for crowdsourcing using NLP and swin transformers. Sci Rep 15, 28338 (2025). https://doi.org/10.1038/s41598-025-10942-x
  • Kurup, A. R., Kar, M. K., Dev, S., & Neog, D. R. (2026). An explainable framework for bias identification in text using transformer-based generative adversarial networks. Engineering Applications of Artificial Intelligence, 167, 113857. https://doi.org/10.1016/j.engappai.2026.113857
  • A. R. Kurup and G. P. Sajeev, “Classifying Workers for Mitigating Adversarial Attacks in Crowdsourcing,” in IEEE Access, vol. 13, pp. 142713-142727, 2025, doi: 10.1109/ACCESS.2025.3598463.
  • Maheshwari, V., Kar, M. K., Kurup, A. R., Neog, D. R., & Nath, M. K. (2026). A multimodal transformer based generative adversarial network for age-aware sketch-to-photo synthesis. Discover Artificial Intelligence. https://doi.org/10.1007/s44163-026-01676-4
  • A. R. Kurup and G. P. Sajeev, “Classifying Workers for Mitigating Adversarial Attacks in Crowdsourcing,” in IEEE Access, vol. 13, pp. 142713-142727, 2025, doi: 10.1109/ACCESS.2025.3598463.
Qualifications
  • PhD (Year):  2022
    Specialization: Computer Science and Engineering
    Thesis title:  Task recommendation and aggregation strategies for improving crowdsourcing workflows.
  • M.Tech (Year): 2014
    Specialization:  Computer Science and Engineering
Reviewing Service

Manuscript Reviewing Service 

  1. Reviewer of Scientific Reports, Springer Nature.
  2. Reviewer of The Journal of Supercomputing, Springer.
  3. Reviewer of Autonomous agents and multi-agent systems, Springer.
Professional Experience
  • Assistant Professor, Department of Artificial Intelligence, School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore, India. (May 2023-till date)
  • Assistant Professor, Department of Computer Science and Engineering, Providence College of Engineering & School of Business, Chengannur, Kerala, India. (August 2022 – January 2023).
Teaching
  • Courses taught (Name, Year, UG/PG)
  1. Formal Language and Automata,2023,  UG
  2. Data Structures & Algorithms, UG
  • Doctoral Guidance 
  1. Mr. Mecline Jose F L (AI.R4CEN23018) – Thesis Advisor
  2. Ms. Sandra S  (CB.AI.R4CEN23013-PT) – DC Member
  3. Ms. Vrinda A.
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