Ms. MAYA M WARRIER

• Pursuing research focused on the application of deep learning techniques to medical image analysis, with the goal of developing intelligent systems for early disease detection and clinical decision  support.

CONSULTANCY:

• Delivered FDPs , Workshops & Internship programs on AI and Python at Engineering colleges under industry-academic collaboration with Liz Intelligent Solutions Pvt.  Ltd.

PUBLICATIONS:

• Warrier, M.M., Resmi, R. and Abraham, L., 2025, February. “ParaMedNetX: A Deep Learning Framework for Pneumonia Classification Using Chest X-Rays”. In 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL) (pp. 1224-1229). IEEE.
•  Warrier, M.M. and Abraham, L., 2023, February. “A review on early diagnosis of lung cancer from CT images using deep learning”. In Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences: PCCDS 2022 (pp. 653-670). Singapore: Springer Nature Singapore.
• Warrier, M.M., Abraham, L. and Resmi, R., 2023, July.” An Optimal Deep Ensemble Model for the Classification of Pneumonia from Chest X-Rays”. In 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-7). IEEE.
• Warrier, Maya M., and Ajay Kumar. “An Energy Efficient Approach for Routing in Wireless Sensor Networks.” Elsevier, Procedia Technology 25 (2016): 520-527.
• Warrier, Maya M., and Ajay Kumar. “Energy efficient routing in Wireless Sensor Networks: A survey”. Wireless Communications, Signal Processing and Networking (WiSPNET), International Conference on. IEEE, 2016 (pp. 1987-1992).

•  Contributed as a resource person for the 5-Day workshop on Artificial Intelligence, organized by Liz Intelligent Solutions Pvt. Ltd. in collaboration with Sree Buddha College of Engineering, Pattoor – July 2025.
• Contribution as a resource person for the 7-Day Hands-on Python Internship organized by Liz Intelligent Solutions Pvt. Ltd in collaboration with St. Thomas Institute for Science and Technology, Trivandrum – June 2025 .
• Contributed as a resource person for the Five-day Hands-on Workshop on “Applications of Artificial Intelligence and Machine Learning” organized by the Dept. of ECE, STIST and ISTE at St. Thomas Institute for Science and Technology, Trivandrum – August 2024.
• Contributed as a resource person for the Three-day Hands-on Workshop on “Machine Learning and Deep Learning using Python” organized by the Dept. of ECE, STIST and KSCSTE at St. Thomas Institute for Science and Technology, Trivandrum – August 2023 .

• Secured KSCSTE Research Fellowship -2018 in Engineering Sciences.
• Fourth rank in M.G University for M.Tech .