0000-0001-9255-530X About
Daisy Wadhwa is a passionate, student-centered educator and a life-long learner who strives to instill a similar desire in her students. She has an ardent interest in collaborative e-learning and in this regard, she has published articles and presented papers at academic conferences. A spirited yet patient instructor, her area of work focuses on emerging trends and the allied practical possibilities. As a co-instructor, Resource person, Teaching Associate, Discussion Forum Moderator, she has contributed to the conduct of MOOCs, FDPs, Workshops, and Training programmes for the institutions of repute, namely, NPTEL- SWAYAM, IIT Bombay, UGC-HRDC SPPU (Pune) University, UGC-HRDC Panjab University Chandigarh, UGC-HRDC Punjabi University, Patiala, NIT Jaipur, NIT Patna, Reserve Bank of India. Daisy is an impassioned reader, a keen quizzer, and also an emphatic orator. At present, she is working as an Assistant Professor and Head of the Department of Computer Science and Applications of Guru Nanak Khalsa College for Women, Ludhiana, Punjab, India.
Employment
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Guru Nanak Khalsa College for Women Head of Department and Assistant Professor
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (11)
- Deep learning generalized hybrid models for multi-species crop disease classification with explainable insights Save
- Transfer Learning for Generalized Multi-Species Crop Disease Classification: A Comparative Analysis of Fine-Tuned CNN Models Save
- Effects of intervention implemented in MOOC discussion forums: contributing factors and participation analysis Save
- DEEP LEARNING FOR SUSTAINABLE AGRICULTURE: OPTIMIZED MOBILENETV2 FOR MULTI-CLASS CROP DISEASE IDENTIFICATION Save
- Deep Learning Generalized Hybrid Models for Multi-Species Crop Disease Classification with Explainable Insights Save
- Multi-species Crop Diseases Classification Using Convolutional Neural Networks Save
- A Generalizable Model for Early Warning of Crop Diseases Using Environmental and Pest Infestation Data Save
- A Generalizable Model for Early Warning of Crop Diseases Using Environmental and Pest Infestation Data Save
- A generalizable and interpretable model for early warning of pest-induced crop diseases using environmental data Save
- Participatory role of discussion forum moderators in learner-centric MOOCs Save