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Dr. Athira B.

Assistant Professor, Department of Computer Science and IT, School of Computing, Kochi | Research Supervisor, Department of Computer Science and IT, School of Computing, Kochi

Qualification: M.Tech, MSc, Ph.D
athirab@kh.amrita.edu
Research Interest: AI Specifically in Natural Language Processing and Machine Learning, Data Mining & Analytics, Health Informatics, Software Engineering

Bio Publications International Collaborations/ Interactions Conference/ Workshop/FDP Attended Projects Guided Courses Taught
Bio

Dr. Athira B currently, Asst. Professor at School of Computing, Department of CS&IT, Amrita Viswa Vidyapeetham, Kochi. She is a member of the Board of Studies for MCA and BCA Data Science Programs and guides one Ph.D. candidates at Amrita Vishwa Vidyapeetham in the area of Health Informatics.

Dr. Athira B received his Ph. D. in Computer Science  from Cochin University of Science and technology (CUSAT), Kochi, Kerala. She has done her MTech in Software Engineering from CUSAT and MSc in Information Technology from Adhiyamaan College of Engineering, Hosur, Periyar University Tamil Nadu. She has 8 years of teaching experience at Masters level, of which 6 years in MTech at CUSAT and 4 years in research.

Her research interests are Data analytics, Natural Language Processing, Machine Learning and Deep Learning. Her interest in new technologies in Computer Science and decision to enhance her career, is the outcome of her research interest in AI. As our lives become more linked with technology, how much new technology can aid the common man to make his life easier? Her research work was on Health Informatics area and on Thesis Titled “A Deep Learning Based Patient-centric Health Recommender System from Patients’ Posts in Online Health Community Forums”. The research was in collaboration with one of the schools, School of Computing and Informatics, of Indiana University, USA. In particular, collaborated with BioHealth Informatics Department of the School. She also had the wonderful opportunity to intern with the department for three months. Working closely with them helped in understanding the data set, labelling it, and validating the final outcome.

Qualifications – M.Sc., M.Tech., Ph. D.

Publications

Journal Article

Year : 2021

Deep learning based analysis of sentiment dynamics in online cancer community forums: An experience

Cite this Research Publication : Balakrishnan, Athira, Sumam Mary Idicula, and Josette Jones. "Deep learning based analysis of sentiment dynamics in online cancer community forums: An experience." Health Informatics Journal 27.2 (2021, April): 14604582211007537. – SCI(IF-2.932)

Year : 2021

Annotating and detecting topics in social media forum and modelling the annotation to derive directions-a case study

Cite this Research Publication : Athira, B., Josette Jones, Sumam Mary Idicula, Anand Kulanthaivel, and Enming Zhang. "Annotating and detecting topics in social media forum and modelling the annotation to derive directions-a case study." Journal of Big Data; Springer 2021 Jan 8(1): 1-23. – SCI(IF-10.8)

Publisher : Springer

Conference Paper

Year : 2022

Siamese Network with Transfer Learning for Similar Query Retrieval in Online Health Community Forums

Cite this Research Publication : Athira, B., and Sumam Mary Idicula. "Siamese Network with Transfer Learning for Similar Query Retrieval in Online Health Community Forums." Advances in Micro-Electronics, Embedded Systems and IoT. Springer, Singapore, 2022. 337-346.

Publisher : Springer, Singapore

Year : 2022

An Improved Query Similarity Model for Online Health Community Forum Using Cross-Attention Mechanism on Siamese Network

Cite this Research Publication : Athira, B., Sumam Mary Idicula, "An Improved Query Similarity Model for Online Health Community Forum Using Cross-Attention Mechanism on Siamese Network", 10th International Conference on Frontiers of Intelligent Computing: Theory and applications 2022, Springer, NIT, Mizoram, India

Year : 2020

Multi-label Topic Classification of Patient Generated Content in a Breast-cancer Community Forum

Cite this Research Publication : Athira, B., Sumam Mary Idicula, and Josette Jones. "Multi-label Topic Classification of Patient Generated Content in a Breast-cancer Community Forum." In Proceedings of the 4th International Conference on Medical and Health Informatics, pp. 266-274 (ACM digital Library). 2020.

Publisher : ACM Digital Library

Year : 2011

Traceability Matrix for Regression Testing in Distributed Software Development

Cite this Research Publication : Athira, B., and Philip Samuel. "Traceability Matrix for Regression Testing in Distributed Software Development." International Conference on Advances in Computing and Communications. Springer, Berlin, Heidelberg, 2011.

Publisher : Springer

Year : 2010

Web services regression test case prioritization

Cite this Research Publication : Athira, B., and Philip Samuel. "Web services regression test case prioritization." In 2010 International Conference on Computer Information Systems and Industrial Management Applications (CISIM), pp. 438-443. IEEE, 2010.

International Collaborations/ Interactions
School of Informatics and Computing, Indiana University, Indiana State, USA As a full-time Research associate from 1st May 2018 to 31st July 2018 Collaborative work on the research area of Health Informatics.
Conference/ Workshop/FDP Attended
  1. One week Faculty development Program “Trajectory in Research” organized by Govt .College of Engineering, Palakkad Nov, 2021.
  2. One week Workshop on “NLP” organized by IIT, Guwahati, Assam, Nov 2019.
  3. International Conference on Data Science and Engineering (ICDSE) organized by CUSAT Jan 2020.
Projects Guided
  1. “Machine Learning based Crops recommendation system” for MTech project
  2. “Deep Learning based Facial expression detection system” for MTech project.
  3. A Chat Boat developing system for MCA research project
  4. Deep Learning based Documentation classification system for MCA research project.
Courses Taught
  1. Text Mining (Masters Level)
  2. Model Driven Software Development (Masters Level)
  3. Mathematical Concepts for Computer and Information Science (Masters Level)
  4. Software Project Management (Masters Level)
  5. Machine Learning (Masters Level)
  6. Data Mining and Applications (Masters Level)
  7. Natural Language Processing (Masters Level)
  8. Deep Learning (Masters Level)
  9. Programming in R (UG Level)
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