Personal profile
Research interests
Artificial Intelligence, Computer Vision, Pattern Recognition, Data Mining
Intellectual Property
1. LILY (Applied)
2. INDIRA (Applied)
Published: 3 patents ; Filed:1 patent and 1 copyright
Creative Works
1. Created and benchmarked first ever dataset of Odia handwritten characters for OCR,
2. Smart India Hackathon SIH-2022 winning team mentor,
3. Kavach internal hackathon winner team mentor,
4. Kavach internal hackathon runner-up team mentor,
5. Erasmus-mundus Fellowship awardee.
6.Academic editor for Plos One journal (IF: 3.752, Q1)
Professional Information
Associate Professor, Dept of CSE, MIT Bengaluru
Awards and recognition (Provided by external agencies)
- Erasmus-mundus Fellowship awardee. Availed European scholarship to visit and work at The RUG, The Netherlands for a period of 06 months.
- Approved research funding INR 29,96,000 from SERB-INAE
Experience
19.5 years
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Collaborations and top research areas from the last five years
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A systematic review of artificial intelligence frameworks for holistic disaster management
Muthukumar, S., Rajesh, S., Talpallikar, A. & Mishra, T. K., 12-2026, In: Discover Artificial Intelligence. 6, 1, 308.Research output: Contribution to journal › Review article › peer-review
Open Access -
Multi-Branch Deep Learning Architecture for Satellite Image Classification using ViTNet-FCN with Transfer Learning
Saxena, A. & Mishra, T. K., 2025, (Accepted/In press) In: IEEE Access. 13, p. 185456-185465 10 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Automatic segmentation of multiple organs on CT images by using deep learning approaches
Bhartia, V., Tripathy, B. K. & Mishra, T. K., 01-01-2024, Mining Biomedical Text, Images and Visual Features for Information Retrieval. Elsevier, p. 297-318 22 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Decoding Human Facial Emotions: A Ranking Approach using Explainable AI
Punuri, S. B., Kuanar, S. K., Mishra, T. K., Rao, V. V. R. M. & Reddy, S. S., 2024, In: IEEE Access. 12, p. 186229-186245 17 p.Research output: Contribution to journal › Article › peer-review
Open Access25 Link opens in a new tab Citations (Scopus) -
Ensemble sparse intelligent mining techniques for diabetes diagnosis
Reddy, S. S., Mishra, T. K., Mahesh, G. & Satapathy, S. M., 01-01-2024, Internet of Things and Machine Learning for Type I and Type II Diabetes: Use Cases. Elsevier, p. 17-30 14 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
2 Link opens in a new tab Citations (Scopus)