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Ph.D. Position Available, Interested Candidates May Contact. *For offline two months internship 1 Seat

Dr. Anjali Gautam

Dr. Anjali Gautam

Assistant Professor Level 11,
Department of Information Technology,
Indian Institute of Information Technology Allahabad
Uttar Pradesh, INDIA
Contact: +91 532 292 2535, anjaligautam@iiita.ac.in
Link

Bio

I have done my M.Tech and Ph.D in the field of Medical Image Analysis from G.B. Pant Engineering College Pauri Garhwal and IIT Roorkee respectively. During Ph.D., I got a young scientist award for my work by Uttarakhand Council for Science & Technology in 2018. Before joining IIIT Allahabad, I have served DIT University Dehradun, University of Petroleum and Energy Studies (UPES) Dehradun and Women Institute of Technology Dehradun for some time. Currently, I am working on two sponsored projects funded by IIIT Allahabad and Science and Engineering Research Board (SERB). Click here for my CV.

Research Interest

  • Image Processing, Computer Vision
  • Medical Image Analysis
  • Deep Learning, Machine Learning

Latest Updates

  • Internship: Offline Two Months internship from 30th May to 30th July (1 Seat), click here to apply.
  • Upcoming Workshop: One Day Faculty Workshop on 30th May 2025 (only 25 Seats).

Subjects Teaching

Subjects Taught

Research Projects

Administrative Duty

Service to Institute Community

Ph.D. Students

Research Scholar 1

Suvramalya Basak

Research on Video Anomaly Detection

Research Scholar 2

Ankit Kumar Verma

Research on Diagnosing Retinal Diseases


M.Tech Students


  • Publications in Refereed Journals ( )

    1. S. Basak, A. Gautam, Diffusion-based normality pre-training for weakly supervised video anomaly detection, Expert Systems with Applications, Vol. 251, pp. 124013, 2024.
    2. A. Gautam, Divyesh Rana, Saksham Aggarwal, Swaraj Bhosle, Hritik Sharma, Deep Learning Approach to Automatically Recognise License Number Plates, Multimedia Tools and Applications, Vol. 82, No. 20, pp.31487-31504, 2023
    3. A. Gautam, Recent Advancements of Deep Learning in Detecting Breast Cancer: A Survey, Multimedia Systems, Vol. 29, No. 3, pp.917-943, 2022
    4. A. Gautam, B. Raman, "Brain Strokes Classification by Extracting Quantum Information from CT Scans", Multimedia Tools and Applications, Accepted on 26th July 2021
    5. A. Gautam, B. Raman, "Towards Accurate Classification of Skin Cancer from Dermatology Images", IET Image Processing, Vol. 15, No. 9, pp. 1971-1986, 2021
    6. A. Gautam, B. Raman, "Towards effective classification of brain hemorrhagic and ischemic stroke using CNN", Biomedical Signal Processing and Control, Vol. 63, pp. 102178, 2021
    7. A. Gautam, B. Raman, "Local Gradient of Gradient Pattern: A Robust Image Descriptor for the Classification of Brain Strokes from Computed Tomography Images", Pattern Analysis and Applications, Vol. 23, pp. 797–817, 2020
    8. A. Gautam, B. Raman, "Segmentation of Ischemic Stroke Lesion from 3D MR Images using Random Forest", Multimedia Tools and Applications, Vol. 78, No. 6, pp. 6559–6579, 2019
    9. A. Gautam, B. Raman, S. Raghuvanshi, "A Hybrid Approach for the Delineation of Brain Lesion from CT Images" , Biocybernetics and Biomedical Engineering, Vol. 38, no. 3, pp. 504-518, 2018

    Papers in Top Conferences

    1. Gaikwad, Avinash, and Anjali Gautam. "Segmentation of Hard Exudates And Hemorrhages from Diabetic Retinopathy Images Using Residual U-Net with Squeeze and Excite Blocks." In 2024 IEEE International Conference on Image Processing (ICIP), pp. 3064-3069. IEEE, 2024.
    2. Basak, Suvramalya, Aditya Vaishy, and Anjali Gautam. "Multi-teacher Importance Preserving Knowledge Distillation for Early Violence Prediction." In International Conference on Pattern Recognition, pp. 179-195. Cham: Springer Nature Switzerland, 2024.

    My Research Awards:


  • Young Scientist Awards by Uttarakhand State Science & Technology Congress, Uttarakhand State Council for Science And Technology in 2018 for our research work (co-author Prof. R. Balasubramanian Raman )
  • 100% CSIR FOREIGN TRAVEL GRANT for our research work in 2016 (co-author Prof. R. Balasubramanian Raman)
  • GATE qualified
  • NET-JRF qualified