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Dr. Neeba E A

Associate Professor

Alliance College of Engineering and Design

Dr. Neeba E A is a distinguished professional with over 20 years of extensive experience in Teaching, Learning & Development, and Program Management. She has dedicated 7 of these years to IT Project Management, establishing a robust track record in both academic and industrial domains.

Dr. Neeba E A earned her Ph.D. in Computer Science Engineering from Vel Tech University, Chennai, and completed her post-graduation (M.Tech.) at the SRM Institute of Science & Technology. Her interests lie in Data Analytics, Machine Learning, and Artificial Intelligence. Her certifications in R, Python, Data Science, and Machine Learning highlight her dedication to remaining at the cutting edge of technological progress.

During her journey, she has played a key role in leading departments, crafting innovative curricula, and establishing thorough assessment systems. Her contributions have been crucial in upholding high standards of student achievement, behavior, and discipline.

  • A supervised learning approach for the influence of comorbidities in the analysis of COVID-19 mortality in Tamil Nadu. Soft Computing (2023). https://doi.org/10.1007/s00500-023-08590-2
  • Swarm-based clustering algorithm for an efficient web blog and data classification,” The Journal of Supercomputing 76 (6), 3949-3962, 2020
  • Bacterial foraging information swarm optimizer for detecting affective and informative content in medical blogs, Cluster Computing 22 (5), 10743 – 10756, 2019
  • A Secure Cloud-Based Heterogeneous Network using A Novel Routing Protocol for Smart Military Applications, International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8 Issue-6, 2019
  • Ample Feature Selection Algorithm for Efficient Prediction of Main Causes of Aviation Accident using Tree-based Classifiers, International Journal of Innovative Technology and Exploring Engineering (IJITEE), Volume-8 Issue-5, 941-946, 2019
  • A Secure Cloud-Based Heterogeneous Network using A Novel Routing Protocol For Smart Military Applications., International Journal of Innovative Technology and Exploring Engineering ISSN: 2278-3075, Volume-8 Issue-6, 2019
  • An intelligent recursive feature reduction methods for efficient classification of medical blogs, International Journal of Engineering & Technology, 205-209, 2018
  • An improved energy efficient and stable routing approach in manet, International Journal of Engineering &Technology, 7 (1.7), 219 – 222, 2018
  • Medical Blog Classification Using Hybrid Feature Selection Mechanisms, Research Journal of Biotechnology, Vol. No. 12, 193-199, 2017
  • Feature Selection Using Swarms in Parallel for Classifying Affective and Informative Content, The IIOAB Journal, Vol. No. 7, Issue. No. 9, pp. 437-445, 2016
  • Framework for Evaluating Feature Selection in Opinion Mining, Research Journal of Applied Sciences, Engineering, and Technology, Vol. No. 13, Issue. No. 3, pp.202-208, 2016

BOOKS CHAPTER

  • Malarvizhi, J. Aswini, E. A. Neeba. (2019). Resource-Aware Allocation and Load-Balancing Algorithms for Cloud Computing, Novel Practices and Trends in Grid and Cloud Computing; (pages 90-106). ISBN13: 9781522590231
  • Priyadarshini, N. Malarvizhi, E. A. Neeba. (2019). A Study on Capabilities and Challenges of Fog Computing, Novel Practices and Trends in Grid and Cloud Computing; (pages 249-273). ISBN13: 9781522590231
  • A. Neeba, J. Aswini, R. Priyadarshini. (2019). Leveraging the Internet of Things (IoT) Paradigm towards Smarter Applications., Novel Practices and Trends in Grid and Cloud Computing; (pages 306-324). ISBN13: 978152259023

BOOKS

  • Practical Python Programming for Data Scientists
    Publisher: Arcler Press LLC, Year: 2022
  • Industrial IoT application architectures and use cases
    Publisher: CRC Press (Taylor and Francis), Year: 2020
  • Hospital Management for BE Anna University
    Publisher: Technical Publication, Year: 2020

  • H Nair, E A Neeba, “Improved fuzzy space-intervals based sequential pattern mining: Technical solution” IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2015
  • Geethu Krishna Kartha, E A Neeba, “Trust Establishment in Mobile Ad Hoc Networks,” 2014 3rd International Conference on Eco-friendly Computing and Communication Systems
  • Harsha Nair, E A Neeba, “Look Over on Mining Sequential Patterns in Evolving Data Stream” (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (2), 2014, 1265-1268