Assistant Professor with two years of experience and successfully contributing to artificial intelligence, data science and big data analytics curriculum development and delivery. Driven to contribute to research relate to machine learning and deep learning. Enthusiastic to work on the field of computer vision and natural language processing.
Python (Pandas, NLTK, Tensorflow, numpy, Matplotlib, scikit-learn)
Analysis of Visual Question Answering Algorithms with attention model in the International Conference on Data Science and Intelligent Applications (ICDSIA-20) at Gandhinagar on 24 - 25 January 2020 and National level Research Journal titled "GIT- JET Journal of Engineering and Technology ISSN 2249-6157
Knowledge Detection by Relevant Question and Image Attributes in Visual Question Answering in the Journal of Emerging Technologies and Innovative ISSN 2349-5162.
Analyzing and Applying Human Perception to Generate Neuro-symbolic art in the ICRDSTEM-2022 (1st International Conference on Recent Development in Science, Technology, Engineering & Management) (Accepted) -
Brain structure and connection analysis through Brain MRI – (Current Ph. D.)
Brain MRI image processing helps in identifying lesions in brain that can help in identifying root cause of number of brain diseases. Analysing this kind of brain structure will help doctors in identifying correct treatment for patient and will give better idea to patient’s family regarding what future looks like for the patient, specifically in brain stroke.
Domain – Machine Learning [Computer Vision]
Knowledge Detection by Relevant Question and Image Attributes in VQA – Master Dissertation
Visual Question answering is subtask of Visual Turing test. Visual question answering automatically answers natural language questions according to the content of an image. This proposed method takes image attributes and question features as input for knowledge derivation module and retrieves only question relevant knowledge about image objects which can provide accurate answers.
Domain – Machine Learning [Computer Vision and NLP]
Technology – Python, Tensorflow data library
Current Independent Research Projects – Computer Vision
· Increasing face detection system accuracy and Identifying and blurring faces from videos with poor lighting – Individual Research – (Currently Working)
· Identifying different kind of vehicle number plates from videos of streets with large amount of objects.
Workshops/webinar/seminar Attendee/Speaker
Review of Hierarchical data Visualization using Treemap - Speaker Heuristic Search techniques in Artificial intelligence - Speaker
Brief introduction to Natural language processing and it’s applications - Speaker
Completed Faculty Development program on Project Based Learning with distinction by IUCEE. - As attendee
Extra-Curricular and Administration
Institute SPOC for Indo Universal Collaboration for Engineering Education – IUCEE
Faculty Coordinator for Women Cell
Faculty coordinator for Visiting Faculties at institute
Social Media Team Lead