Dr. Jeena Kleenankandy is an Assistant Professor at the Computer Science Department, Cochin University of Science and Technology (CUSAT), Kochi, Kerala. She has a Doctorate in Computer Science and Engineering from NIT Calicut for the thesis titled "Linguistically motivated deep learning models for measuring semantic textual similarity". Though her interests spread across multiple domains, her expertise is in the area of Natural Language Processing and Artificial Intelligence. Dr. Jeena has been working as an Assistant Professor at Amrita School of Computing, Amrita Vishwa Vidyapeetham Ettimadai before returning to her alma mater CUSAT. She started her career as a Project Engineer at Wipro Technologies, Kochi in 2007, and her teaching career at Chinmaya Institute of Technology, Kannur in 2011. In total, she has 6+ years of academic/industry experience. She holds an M.Tech degree in Software Engineering from CUSAT and B.Tech in CSE from College of Engineering Thalassery.

Deep Learning, Fairness and Ethics in AI, Natural Language Processing

Publons	:	https://www.webofscience.com/wos/author/record/HGC-8226-2022
Scopus	:	https://www.scopus.com/authid/detail.uri?authorId=56406471000
Google Scholar	:	https://scholar.google.com/citations?user=SOYNU-cAAAAJ&hl=en

An enhanced Tree-LSTM architecture for sentence semantic modeling using typed dependencies, Information Processing and Management, Elsevier Vol. 57, 2020

Recognizing semantic relation in sentence pairs using Tree-RNNs and Typed dependencies, 2020 6th IEEE Congress on Information Science and Technology (CiSt), 2021

Deep Learning Models for Natural Language Processing: An Overview, Virtual Conference On Computing and Informatics, 2020

Identifying synonyms in bigram phrases using Compositional DSM and Artificial Neural Network, 2019 International Conference on Computing, Power and Communication Technologies (GUCON), 2019

Implementation of Sandhi-rule based compound word generator for Malayalam, 2014 Fourth International Conference on Advances in Computing and Communications, 2014