VARSHA SINGH
Indian Institute of Information Technology Allahabad, Motilal Nehru National Institute of Technology, Dr. A.P.J. Abdul Kalam Technical University, Indian Institute of Information Technology, Allahabad
About
A dedicated computer scientist with a strong passion for advancing the fields of computer vision and natural language processing. With 17 years of experience in teaching and research, hold a Ph.D. in Information Technology from the Indian Institute of Information Technology, Allahabad. My work centers around innovative solutions that bridge the gap between human language and the visual world.
My current research explores text-to-image synthesis, emotion classification through facial expressions, image captioning, and sign language recognition. Committed to pushing the boundaries of technology to enhance human interaction with digital content.
Member of IACSIT Singapore and a student member of IEEE. These affiliations further enable me to stay connected with the global research community and contribute to the frontiers of knowledge.
Employment
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Indian Institute of Information Technology Allahabad DST Postdoc Fellow2025 - Present
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Motilal Nehru National Institute of Technology Guest Faculty2024 - 2025
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Indian Institute of Information Technology, Allahabad Research Scholar2018 - 2024
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JSS Academy of Technical Education Noida Assistant Professor2007 - 2018
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NIET Lecturer2006 - 2007
Education
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Indian Institute of Information Technology Allahabad DST Postdoc Fellow2025 - Present
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Dr. A.P.J. Abdul Kalam Technical University
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Indian Institute of Information Technology Allahabad
Projects & Funding
Projects & funding information is unavailable.
Publications (20)
- Synergizing Visualization Techniques and Machine Learning for Enhanced Diabetes Prediction and Management Using Tableau Save
- Diabetes Prediction Using Classification Methods Save
- HGAN: Editable Visual Generation from Hindi Descriptions Save
- Describing Images Using CNN and Object Features with Attention Save
- Clustering Using Genetic Algorithm: A Collaborative Performance Analysis Save
- Scene description with context information using dense-LSTM Save
- Emotion Classification Through Facial Expressions Using SVM and Convolutional Neural Classifier Save
- Facial Emotion Level Recognition Using CNN Save
- Multi-attribute decision making application using hybridly modelled Gaussian Interval Type-2 Fuzzy sets with uncertain mean Save
- Textual Description Generation for Visual Content Using Neural Networks Save