Ms. Ankita Mishra is an academician and industry professional with over 9+ years of experience in Computer Science across higher education and the edtech domain. Her core expertise lies in Machine Learning, Deep Learning, and Data Science, with a strong focus on mentoring learners and building industry-relevant skills in emerging AI technologies. She is currently pursuing her Ph.D. in Machine Learning and Deep Learning from Banasthali Vidyapith. Her research interests span interdisciplinary domains including environmental analytics, natural language processing, and intelligent systems. In addition to her academic contributions, she is actively involved in curriculum development, student mentorship, and fostering innovation through research-driven learning.

Educational Qualification

• Ph.D., Banasthali University, Rajasthan (Pursuing)
  – Research Area: Deep learning, Machine Learning
  – Topic: Air Quality Prediction Using Deep Learning And Estimation Of The Impact of its Constituents In Human Health
• M. Tech (CSE), Mody University, Rajasthan (2016)
  – Major: Data Mining, Machine Learning
• B. Tech (IT), Uttar Pradesh Technical University (2014)

Research and Scholarly Publication

SCOPUS PUBLICATION

• “State-of-the-Art and Emerging Trends in Deep Learning for Air Quality Forecasting and Health Impact Modeling: A Comprehensive Review.” In 2025 2nd Global AI Summit-International Conference on Artificial Intelligence and Emerging Technology (AI Summit), pp. 1301-1306. IEEE, 2025.
• “Comparative analysis of Air Quality Index prediction using deep learning algorithms.” Spatial Information Research 32, no. 1 (2024): 63-72.
• “A DMA-WSN based routing strategy to maximize efficiency and reliability in a ship to communicate data on coronavirus.” Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 16, no. 6 (2023): 579-589.
• “Efficient facial expression recognition system based on geometric features using neural network.” In Information and Communication Technology for Sustainable Development: Proceedings of ICT4SD 2016, Volume 2, pp. 181-190. Singapore: Springer Singapore, 2017.
• “An Improved and Efficient Image Mining Technique for Classification of
  Textual Images Using Low-Level Image Features”, In International Conference on Inventive Computation Technologies – ICICT 2017, pp. 1-7, Coimbatore, India, 2016.

BOOK CHAPTERS

• “Role of Intelligent Techniques for Cyber-Physical Systems in Healthcare”, Book- Intelligent Cyber-Physical Systems for Healthcare Solutions: From Theory to Practice, ISBN-13: ‎ 978-9819789825, Springer Nature, 2024.
• “Computer Assistive Techniques for Monitoring and Tracking Patient Healthcare and Engagement”, Book- Leveraging AI Technologies for Preventing and Detecting Sudden Cardiac Arrest and Death, ISBN: 9781799884460, IGI Global, 2022.

OTHER PUBLICATIONS

• “State-of-the-Art and Emerging Trends in Crop Recommendation Systems: A Comprehensive Review.” Procedia Computer Science 259 (2025): 443-452.
• “Exploring the Landscape of Natural Language Processing for Text Analytics: A comprehensive Review.” Procedia Computer Science 259 (2025): 453-462.

PATENTS

• “Integrated System for Environmental Monitoring and Predictive Analytics Utilizing IoT and Machine Learning.” Indian Patent, Patent No. 202411035064, Published on May 03, 2024.
• “A Learning Device for Detecting Fault Conditions between Shipment Inspection Information using Machine Learning.” Indian Patent, Patent No. 202241075505, Published on January 06, 2023.
• “Automatic Virus Eliminator Toilet Seat.” Indian Patent, Patent No. 202211012014, Published on March 11, 2022.
  “Convergence of Blockchain and IoT for Secure Transportation Systems in Smart Cities.” Indian Patent, Patent No. 202241001899, Published on February 04, 2022.