Dr. Anindita BORAH
Assistant Professor
Computer Applications
Introduction
No introduction provided.
Areas of Interest
| Degree | Institution | Year |
|---|---|---|
| Ph.D | Tezpur University | |
| MTech (Information Technology) | Gauhati University | |
| BE (Computer Science and Engineering) | Gauhati University |
| Designation | Organization | Duration |
|---|---|---|
| Assistant Professor, Department of Computer Applications | Assam Engineering College | Feb 2025 - Present |
| Postdoctoral Fellow | Technology Innovation Hub-IIT Guwahati | Dec 2022 - Mar 2025 |
| Institute Postdoctoral Fellow | IIT Guwahati | Oct 2020 - Oct 2022 |
| Assistant Professor, Department of Computer Science and Engineering | Assam Down Town University | Aug 2019 - Oct 2020 |
| Assistant Professor, Department of Computer Science and Engineering | Assam Kaziranga University | Jan 2019 - Jul 2019 |
| Assistant Professor (Contractual), Department of Computer Science and Engineering | Jorhat Engineering College | Aug 2018 - Dec 2018 |
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Bhaswati Baishya, Anindita Borah and Bhabesh Nath (2026). IPFP: An Improved Parallel FP-Growth Method for Fast Association Rule Mining. Expert Systems with Applications (IF: 9.4, SCI), 331, 133321.
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Anindita Borah and Pranjal Barman (2025). Detecting anomalous degradation behaviour in lithium-ion batteries: A deep learning approach. Journal of Energy Storage (IF: 7.8, SCI), 132, 117425.
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Anindita Borah (2024). Deep Learning based Anomaly Detection Approach for Air Pollution Assessment. IEEE Transactions on Big Data (IF:8.1, SCI), 1-12.
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Sagar Bhattarai, Pranjal Barman, Anindita Borah, Pratiksha Sarma, Mrinal Kanti Sikdar, Pallab Sarmah, DP Samajdar, Jaya Madan (2024). Efficiency enhancement of hybrid-solar cell by optimizing CuSCN and V2O5 based dual hole transport layer. Solar Energy (IF: 7.9, SCI), 275, 112652.
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Anindita Borah (2022). Detecting COVID-19 Vaccine Hesitancy in India: A Multimodal Transformer based Approach. Journal of Intelligent Information Systems (IF:3.5, SCI), 59.
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Anindita Borah (2022). Impact of COVID-19 on Indian Politics: Analyzing Political Leaders Interactions and Sentiments on Twitter. Social Network Analysis and Mining (IF: 3.2, ESCI), 13, 1-26.
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Anindita Borah and Sanasam Ranbir Singh (2022). Investigating political polarization in India through the lens of Twitter. Social Network Analysis and Mining (IF: 3.2, ESCI), 12, 1-26.
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Anindita Borah and Bhabesh Nath (2020). Comparative Evaluation of Pattern Mining Techniques: An Empirical Study. Complex & Intelligent Systems (IF: 4.5, SCI), 7, 589-619.
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Anindita Borah and Bhabesh Nath (2019). Incremental Rare Pattern based Approach for Identifying Outliers in Medical Data. Applied Soft Computing(IF: 7.8, SCI), 82, 10524.
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Anindita Borah and Bhabesh Nath (2019). Tree Based Frequent and Rare Pattern Mining Techniques: A Comprehensive Structural and Empirical Analysis. Springer Nature Applied Sciences (IF: 3.8, ESCI), 1, 972.
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Anindita Borah and Bhabesh nath (2018). An Efficient Method for Mining Rare Association Rules: A Case Study on Air Pollution. International Journal on Artificial Intelligence Tools (IF: 1.0, SCI), 30, 2150018.
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Anindita Borah and Bhabesh Nath (2018). Identifying Risk Factors for Adverse Diseases using Dynamic Rare Association Rule Mining. Expert Systems with Applications (IF: 9.4, SCI), 113, 233-263.
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Anindita Borah and Bhabesh Nath (2018). Rare Association Rule Mining from Incremental Databases. Pattern Analysis and Applications (IF: 2.6, SCI), 22, 1-22.
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Anindita Borah and Bhabesh Nath (2018). Rare Pattern Mining: Challenges and Future Perspectives. Complex & Intelligent Systems(IF: 4.5, SCI), 5, 1-23.
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Anindita Borah and Bhabesh Nath (2017). FP-Tree and its Variants: Towards Solving the Pattern Mining Challenges. Smart Innovation, Systems and Technologies, 79, 535-543.
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Anindita Borah and Bhabesh Nath (2017). Mining Rare Patterns using Hyper-Linked Data Structure. Lecture Notes in Computer Science, 10597, 462-472.
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Anindita Borah and Bhabesh Nath (2017). Mining patterns from data streams: an overview. International Conference on I-SMAC (IoT in social, mobile, analytics and cloud) (I-SMAC), 371-376.
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Anindita Borah and Bhabesh Nath (2017). Performance Analysis of Tree Based Approaches for Pattern Mining. Advances in Intelligent Systems and Computing, 711, 435-448.
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Anindita Borah and Bhabesh Nath (2017). Rare Association Rule Mining: A Systematic Review. International Journal of Knowledge Engineering and Data Mining, 4, 204-258.