Mamta Mittal

About

Dr. Mamta Mittal, is working as Associate Professor & Programme Anchor for Data Analytics and Data Science at Delhi Skill and Entrepreneur University, New Delhi (under Government of NCT Delhi). She has received Ph. D. in Computer Science and Engineering from Thapar University, Patiala; M.Tech (Honors) in CSE from YMCA, Faridabad and B.Tech in CSE from Kurukshetra University Kurukshetra in 2001. She has been teaching from last 22 years with emphasis on Data Mining, Machine Learning, DBMS and Data Structure. Dr. Mittal is a Life time member of CSI and published and Communicated more than 100 research papers in SCI, SCIE, Scopus indexed Journals. She holds five patents and two copyrights in the area of Artificial Intelligence, IoT and Deep Learning. Dr. Mittal has edited/authored many books with reputed publishers like Springer, IOS Press, Elsevier and CRC Press and working on DST approved Project “Development of IoT based hybrid navigation module for mid-sized autonomous vehicles” with research grant of 25 Lakhs. Currently, she is guiding PhD scholars in Machine Learning, Computer Vision and Deep Learning areas. She is book Series editor of Edge AI in future Computing with CRC Press, Taylor & Francis, USA. Dr. Mittal is Editorial Board member with InderScience, Bentham Science, Springer and Elsevier and has Chaired number of Conferences. She is Associate Editor with reputed SCIE Indexed journal of Springer.

[email protected]

https://scholar.google.com/citations?user=toYvcaoAAAAJ&hl=en

Employment

• Delhi Skill and Entrepreneur University, New Delhi (UNDER GOVT.OF NCT DELHI) Associate Professor
  2021 - Present
• G.B. Pant Govt Engineering College, Okhla, New Delhi
  2012 - 2021

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (91)

• Artificial intelligence-driven clustering and prediction of Near-Earth Object behavioural groups and close approaches
  Earth Science Informatics 2026 DOI: 10.1007/s12145-026-02139-1
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• Autonomous Cyber Defense: An AI-Based SelfHealing Framework
  2026 DOI: 10.23919/CCICTCPS00010.2026.00094
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• Prediction of Stress-Induced Substance Use via a Multimodal Data Acquisition Framework and an Ensemble Machine Learning Model
  BRAIN. Broad Research in Artificial Intelligence and Neuroscience 2026 DOI: 10.70594/brain/17.2/19
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• Mapping the Landscape of Personalization: A Comprehensive Review of Prediction and Trends in Recommendation Systems
  WIREs Data Mining and Knowledge Discovery 2025 DOI: 10.1002/widm.70006
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• Navigating Data Sparsity: Strategies for Effective Recommendation Systems
  2025 DOI: 10.1007/978-981-96-3355-5_1
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• Machine learning for pest detection and infestation prediction: A comprehensive review
  WIREs Data Mining and Knowledge Discovery 2024 DOI: 10.1002/widm.1551
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• Navigating the metaverse: A technical review of emerging virtual worlds
  WIREs Data Mining and Knowledge Discovery 2024 DOI: 10.1002/widm.1538
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• CodeFed: Federated Speech Recognition for Low-Resource Code-Switching Detection
  ACM Transactions on Asian and Low-Resource Language Information Processing 2024 DOI: 10.1145/3571732
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• Brain-Computer Interfacing for Flexion and Extension of Bio-Inspired Robot Fingers
  International Journal of Cognitive Computing in Engineering 2023 DOI: 10.1016/j.ijcce.2023.02.006
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• A Comprehensive Study on Online and Offline Evaluation of Recommendation System
  2023 DOI: 10.1007/978-981-99-4626-6_39
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