shallu juneja
Assistant Professor, CSE · MAIT affiliated to Guru Gobind Singh Indraprastha University , Delhi
Research Interests
software fault prediction using machine learning
Biography
Ms. Shallu Juneja is an academician with sixteen years of experience in research, development and teaching in computer science and engineering. Her research interests include software fault prediction, software evolution, operating system, model-driven development, data science and machine learning. Ms. Juneja has published around 17 research papers in reputed international journals and conferences. She has authored a book titled ‘Network Technologies’. She was awarded the ‘Best Paper Award 2022’ in ADSSS-2022. She is serving as reviewer for various conferences and journals from reputed publishers like Elsevier, Scopus indexed journals, IEEE etc. She has received Letter of Appreciation for hard work, commitment and excellent team work for the award of NBA Accreditation at MAIT in 2019 etc.
Education
Ph.D. Pursuing (CSE), M.Tech. (CSE), B.E. (CSE)
Recent Scopus Publications
- CRF_LSTM_DO: automated software bug detection deep learning framework
- Bio-Inspired Optimization Algorithm in Machine Learning and Practical Applications
- Development of optimised software fault prediction model using machine learning
- Sentiment Analysis for Citizen Feedback in Smart Cities with XLNet-BiLSTM: Delhi Metro as a Case Study★
- Current Trends and Literature Review of Machine Learning Models for Predicting Software Fault Based onTextual and Numeric Data
Links
- ORCID https://orcid.org/0000-0001-6451-7541
- Google Scholar https://scholar.google.com/citations?user=yoBEWKgAAAAJ
- Scopus https://www.scopus.com/authid/detail.uri?authorId=57216356132
- Personal Weblink https://vidwan.inflibnet.ac.in/profile/533008