Anjali Gupta
Anjali Gupta
Anjali Gupta is currently working as an Assistant Professor in the Department of Computer Science and Engineering at CMR Institute of Technology (CMRIT), Bengaluru. She is also pursuing her Ph.D. at Amrita School of Engineering, Bengaluru. She holds an M.Tech degree in Computer Science & Engineering , and her research interests include Digital Image Processing (DIP), Machine Learning (ML), and Deep Learning (DL). With rich teaching experience at various engineering institutions she brings both academic rigor and practical insight into the classroom. Anjali has presented and published several research papers at national and international conferences, reflecting her commitment to advancing knowledge in intelligent systems and data-driven technologies.
Digital Image Processing (DIP)
Machine Learning (ML)
Deep Learning (DL)
Computer Vision
Database Management Systems
SQL
C Programming
Python Programming
Education
● AMRITA SCHOOL OF ENGINEERING | Bengaluru| Ph.D. in Computer Science & Engineering (Pursuing)
Research Domain- Medical Image Processing
● JSS ACADEMY OF TECHNICAL EDUCATION | Noida, UP| Master of Technology -Computer Science & Engineering
● MIT Moradabad | Moradabad, UP| Bachelor of Technology -Computer Science & Engineering
Certifications:
● Python Data Structures by University of Michigan through Coursera ,2021
● Programming for Everybody by University of Michigan through Coursera,2021
● Guided Project through Coursera- Diabetic Retinopathy Detection,2021
● NPTEL- Programming Data Structures and Algorithms using Python,2020
● NPTEL-Database Management Systems,2019.
Research Paper Publications:
1. Gupta A. and Pahuja G.2016, “Segmentation of Brain Tumor from MRI- A Survey”,InternationalJournal of Modern Computer Science, vol. 4, Issue 3, June 2016, pp. 185 - 189.
(ISSN:2320-7868).
2. Gupta A. and Pahuja G.,2016, “Efficient Fuzzy Based Method for Tumor Segmentation on MRImages”,International Journal of Advanced Research in Computer Science and Software Engineering. Vol6,Issue 8,August 2016,pp.257- 263(ISSN:2277-128X).
3. Gupta A. and Pahuja G. “Hybrid Clustering and Boundary Value Refinement for Tumor Segmentationusing Brain MRI” Published in ELSEVIER (Science- Direct)
MaterialsToday: Proceedings.IOP Conf. Series:Materials Science and Engineering 225 (2017) 012187 doi:10.1088/1757-899X/225/1/012187
4. Gupta A,Sruthi P.,Mamtha M,Aparanji GS,Rmya T.” Signature Based Radar Target Classification”, 20216th INTERNATIONAL CONFERENCE ON RECENT TRENDS IN
ELECTRONICS, INFORMATION &COMMUNICATION TECHNOLOGY (27th -28th August 2021), listed in Elsevier's El Compendex forindexing, IEEE XPLORE_DIGITAL
LIBRARY & SCOPUS.
5. "Recruiting and Retaining Women in Undergraduate Computing Majors", Presented in ACM-WomenAsia Pacific Celebration 2021 on April 7, 2021
6. “Detection and Visualization of Intracranial Brain Hemorrhages in CT Scans”Anjali Gupta, TheThirteenth International Joint Conference on Advances in Engineering and
Technology, AET 2022,ScopusIndexed.
Patent Published:
1)Automatic whistle based smart watering Pot.
2)Method/System to detect blood in an oral cavity during Tooth Brushing.
3)A fully automatic Brain Tumor Segmentation and classification system and method to improve the healthcare experience with machine intelligence.