Jigyasha Arora

About

I, Jigyasha Arora, am currently working as an assistant professor in the School of Computing at Dehradun Institute of Technology (DIT), Dehradun, Uttarakhand, India. I have a total of nine years of teaching experience in reputed engineering institutes.

I earned a degree with First Division Honours in Computer Science and Engineering from Uttarakhand Technical University, a State Government University in Dehradun, in 2011, and I also received an M.Tech. Degree in Graph Mining, First Division with honours, in Computer Science and Engineering from Uttarakhand Technical University, a state government university, Dehradun, in 2014; and I am pursuing PhD in Computer Science and Engineering from Gurukul Kangri Deemed to be University, Haridwar, Uttarakhand, India

I have published research papers in various international journals and conferences. My areas of research include graph mining, data mining, machine learning, and deep learning.

Employment

• Dehradun Institute of Technology Assistant Professor
  2025 - Present
• Women's institute of technology Sudhowala Dehradun Assistant Professor
  2023 - 2025
• Tula's Assistant Professor
  2020 - 2023

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (16)

• Fraud detection in credit card transactions: techniques and emerging challenges
  International Journal of System Assurance Engineering and Management 2026 DOI: 10.1007/s13198-026-03312-x
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• Machine Learning Framework Balancing Security and Efficiency in Digital Transactions
  National Academy Science Letters 2026 DOI: 10.1007/s40009-026-02126-6
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• Machine Learning for Stock Market Forecasting: Trends and Techniques
  Management and Industrial Engineering 2026 DOI: 10.1007/978-3-032-04606-2_4
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• Unmasking Insurance Fraud: Integrating Feature Selection and Data Balancing Techniques
  Procedia Computer Science 2026 DOI: 10.1016/j.procs.2026.06.097
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• Advanced Forecasting with AEGRU: A Robust Approach for Stock Market Time Series
  Evergreen 2025 DOI: 10.5109/7388863
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• A Systematic Review Paper for Anomaly Detection in Financial Transactions
  Proceedings of 4th International Conference on Mathematical Modeling and Computational Science (ICMMCS 2025) 2025
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• Integrating Computer Vision and Pattern Recognition in Fraud Detection for Financial Accounts
  Communications in Computer and Information Science 2025 DOI: 10.1007/978-3-031-80778-7_29
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• INTOCS: Neural Network Inspired Oversampling based Secure and Optimized Transaction Framework for Credit Card
  2024 2nd International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT) 2024 DOI: 10.1109/icaiccit64383.2024.10912349
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• Metaverse and Businesses
  2024 DOI: 10.1201/9781032638188-11
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• Blockchain and Internet-of-Things: A Technological Solution for Issues in Cold Chain
  2024 3rd International Conference on Sentiment Analysis and Deep Learning (ICSADL) 2024 DOI: 10.1109/icsadl61749.2024.00108
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