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
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
- Conducted Workshop: One Day Faculty Workshop on 31th May 2025 (only 25 Seats).
Subjects Teaching
- Database Management System in B.Tech 2nd Year (Jan-June 2025)
Subjects Taught
- Computer Organization and Architecture in B.Tech 1st Year
- Search Engine Optimization in MBA 3rd Sem
- Operating System in B.Tech 2nd Year
- Information Retrieval (IR) in B.Tech and M.Tech
- Introduction to Programming in B.Tech 1st Year
- Database Management System in B.Tech 2nd Year
- Object Oriented Programming in B.Tech 2nd Year(in WIT)
- Java Programming in B.Tech 3rd Year (in UPES and WIT)
- Storage Technology Foundation (CSIB255) in B.Tech 4th Year (in UPES)
- Computer Graphics Lab (CSEG3103) in BTech 3rd Year (in UPES)
- Computer Graphics Lab (CSEG3103) in BTech 3rd Year (in UPES)
- Web Technology (CS345) in B.Tech 3rd Year (In DIT University)
- Advanced Concepts in OOPs (CS345) in B.Tech 3rd Year (In DIT University)
- Information Coding & Theory (CS711) in M.Tech 2nd Year (In DIT University)
Research Projects
- Project Title - Design and Development of Computer-Aided Diagnostic Software to Localize and Grade Eye Diseases using Deep Learning and Transformer Approaches
Funding Agency - EMEQ-SERB,
Sanctioned Amount - Rs. 23,04,544,
Duration - 3 years
Status - Ongoing - Project Title - Developing deep learning-based methodologies to identify breast cancer,
Funding Agency - Seed Money, IIIT Allahabad,
Sanctioned Amount - Rs. 10,00,000,
Duration - 3 years,
Status - Ongoing
Administrative Duty
- Warden GH-3 from January 08, 2024 till now (institute level)
- Warden GH-1 from 1 September 2021 to January 08, 2024 (institute level)
- Member of Prevention of Sexual Harassment Committee for women at workplace from 28 June 2023 till now (institute level)
- Member of Departmental Time-Table committee July-Dec 2024 (Department level)
- DUGC Member (Department level)
- Member of ATTSC (Alumni Think Tank and Support Committee) from 10-11-2021 to 20 January 2024 (Dean Alumni Affairs level).
Service to Institute Community
- IIITA Employee Teams Formation Game Monitoring Committee member of carrom and chess tournament of 1st Inter IIIT Employee Sports Meet Organized at IIITA during November 15-17, 2024.
- Local Hospitality and Fooding Committee member of Global Alumni Meet 2024 organized during September 27-29, 2024.
- Hospitality committee member as warden in Effervescence- 2024.
- Member of Media Committee, Reception/Accommodation Committee of 19th Institute Convocation held on 14th September 2024.
- Accommodation and Food Committee member as warden in IIIT sports meet for students and employees during March 9-15, 2024.
Ph.D. Students
Suvramalya Basak
Research on Video Anomaly Detection
Ankit Kumar Verma
Research on Diagnosing Retinal Diseases
M.Tech Students
Publications in Refereed Journals (
)
- A. Gautam, Additive activation attention gate for segmenting meibomian glands from infrared images, Signal, Image and Video Processing, Vol. 19, No. 6, 461, 2025.
- S. Basak, A. Gautam, Diffusion-based normality pre-training for weakly supervised video anomaly detection, Expert Systems with Applications, Vol. 251, pp. 124013, 2024.
- 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
- A. Gautam, Recent Advancements of Deep Learning in Detecting Breast Cancer: A Survey, Multimedia Systems, Vol. 29, No. 3, pp.917-943, 2022
- A. Gautam, B. Raman, "Brain Strokes Classification by Extracting Quantum Information from CT Scans", Multimedia Tools and Applications, Accepted on 26th July 2021
- A. Gautam, B. Raman, "Towards Accurate Classification of Skin Cancer from Dermatology Images", IET Image Processing, Vol. 15, No. 9, pp. 1971-1986, 2021
- 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
- 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
- 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
- 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
- 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.
- 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:
Explore the World
Singapore, TENCON-2016
Singapore, TENCON-2016
Abu Dhabi, ICIP-2024
Abu Dhabi, ICIP-2024
Caption Three