| Specialization: |
|---|
| Artificial Intelligence (Machine Learning, Data Analytics), Image Processing, Speech Processing, Business Intelligence |
| Degree | Board/University | Year |
| Phd(Pursuing) | Pursuing | |
| M.Tech (CSE) | IIIT Guwahati | 2021 |
| B.Tech (CSE) | Gauhati University (C.I.T Kokrajhar) | 2019 |
| 12th (Science) | CBSE (K.V.Barpeta) | 2015 |
| 10th | CBSE (K.V.Barpeta) | 2013 |
| Institute | Position | Responsibility | Year |
| BITS, Pilani (Remote) | Teaching Assistant | Labs and Theory | Sept2021-May2022 |
| Gauhati University In-House Training | Data Science Trainer | Data Science Training | Jun2022-Jul2022 |
| TechBooster, Guwahati | Data Science Trainer | Data science Training | May2022-Aug2022 |
| Upgrad (Remote) | Thesis Supervisor | Project Supervising | Jan2021-Aug2021 |
| CDAC, Pune | Industrial Trainer | Data science Training | Nov2021-Dec2021 |
| Punjab Skill Development Program | Industrial Trainer | Data science Training | Aug2020-Dec2020 |
Patent -
1. Artificial Intelligence Based Snail Capturing Agriculture Machine. (Application No.- 202331052982 A)
Journal -
1. Anindita Das and Aniruddha Deka. "HandloomGCN: Real-time handloom design generation using Generated Cellular Network." International Journal of Computing and Digital Systems 16, no. 1 (2024): 1-10.
2. Anindita Das, Aniruddha Deka, Kishore Medhi, and Manob Jyoti Saikia. 2024."Deep Learning to Authenticate Traditional Handloom Textile" Information 15, no. 8: 465.
Conference -
1. Anindita Das, and Aniruddha Deka. Revolutionizing Handloom Design Creation Through Associated Feature Transformation and Advanced Deep Decoder Techniques. International Conference on Computational Intelligence, Networks and Security (ICCINS). IEEE, 2023.
2.Anindita Das, and Aniruddha Deka. Enhancing Fabric Integrity: Seg-YOLO-Based Defect Detection in Handloom Fibers. IEEE Pune Section International Conference (PuneCon). IEEE, 2023.
3. Anindita Das, Srabani Patikar,Kishore Medhi. A Survey on Audio-Visual Speech Recognition Systems at the proceedings of 4th IEEE International Conference on Computing and Communication Systems (I3CS), 2023.
4. Anindita Das, Aniruddha Deka, and Sneha Sharma. Gaussian Noise Removal in Handloom Images via Edge-Adaptive Total Variation Model. NIELIT’s International Conference on Communication, Electronics and Digital Technologies. Singapore: Springer Nature Singapore, 2024.
5. Srabani Patikar, Anindita Das, and Sahil Kumar Singh. An Overview of Optimization Methods in Leaf Defect Detection. NIELIT’s International Conference on Communication, Electronics and Digital Technologies. Singapore: Springer Nature Singapore, 2024.
6. Anindita Das, Aniruddha Deka. Review on Design Generation, Defect Detection and Identification of Handloom Cloths using Deep Learning at the proceedings of 6th International Conference on Soft Computing And Signal Processing (ICSCSP), 2023.
7. Anindita Das, Prithwish Sen, Nilkanta Sahu. Adaptive Style Transfer Using SISR at the proceedings of 19th International Conference on Computer Analysis of Images and Patterns (CAIP), Cyprus, 2021.
8. Prithwish Sen, Anindita Das, Nilkanta Sahu. Rendering scenes for simulating Adverse Weather Conditions at the proceedings of 16th International Work Conference on Artificial Neural Networks (IWANN), Portugal, 2021.(Book- Chapter 29, Advances in Computational Intelligence)
9. Prithwish Sen, Anindita Das, Nilkanta Sahu. Object Detection In Foggy Weather Conditions at the proceedings of 4th International Conference on Intelligent Computing and Optimization (ICO), Thailand, 2021.
10. Prithwish Sen, Anindita Das, Nilkanta Sahu. End-to-End Scene Text Recognition System For Devanagari and Bengali Text at the proceedings of 4th International Conference on Intelligent Computing and Optimization (ICO), Thailand, 2021.
11. Anindita Das. Adaptive Instance object style transfer at the proceedings of the 6th International Conference on Intelligent Computing and Optimization (ICO), Thailand, 2023.
Ishan Uday (NER) Scholarship for Professional students (2015-2019)