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Dr.Sunitha E.V

Associate Professor, School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri

Qualification: B. Tech., M.Tech., Ph.D
sunithaev@am.amrita.edu
Google Scholar Profile
Scopus Author ID
Research Interest: Software Engineering, Deep Learning, Object Oriented Techniques, AI in Health care

Bio

Dr Sunitha EV obtained her Ph.D. from Cochin University of Science & Technology, Kochi, India, where she worked in automatic code generation from UML behavioral models. She is a passionate teacher with 18 years of teaching experience.

Throughout her career, she has taken on the role of organizer for numerous prestigious conferences, including ISDA and IBICA, as well as several faculty development programs. She is a lifelong learner, continuously enhancing her knowledge through courses on platforms like NPTEL and Coursera. She is Life Time Member of ISTE.

Her dedication to social causes led to her appointment as the Nodal Officer for Unnat Bharat Abhiyan, a Government of India initiative. Through this role, she facilitated the adoption of five villages on the outskirts of Kochi to provide them with technological support.

Her research interests include Software Engineering, Deep Learning, AI in Health care, and Object-Oriented Techniques. She contributes to the research community by serving as a reviewer for prestigious journals such as IEEE Access and Defence Science Journal, as well as for several renowned international conferences.

 

Publications

Journal Article

Year : 2024

Deep Learning Models for Brain Tumor Classification

Cite this Research Publication : Sunitha E.V, “Deep Learning Models for Brain Tumor Classification”, Grenze International Journal of Engineering and Technology, Grenze ID: 01.GIJET.10.2.540, 941 – 947, Volume 10, Issue 1, 2024.

Year : 2019

Automatic Code Generation From UML State Chart Diagrams

Cite this Research Publication : Sunitha E. V., Philip Samuel, “Automatic Code Generation From UML State Chart Diagrams”, IEEE Access ,2019.

Publisher : IEEE

Year : 2018

Object constraint language for code generation from activity models

Cite this Research Publication : E.V. Sunitha , Philip Samuel, “Object constraint language for code generation from activity models”, Information and Software Technology, Elsevier, 2018.

Publisher : Elsevier

Year : 2016

Automatic code generation using unified modeling language activity and sequence models

Cite this Research Publication : E.V. Sunitha , Philip Samuel, "Automatic code generation using unified modeling language activity and sequence models." IET Software, 2016.

Awards / Achievements

First Rank Holder in M. Tech (Software Engineering), 2007-2009 Batch at Department of Computer Science, Cochin University of Science & Technology

Positions Held

  • Kerala Technological University Syllabus Committee Member : Software Engineering, Software Architecture and Software Project Management, MTech Networks
  • Chairperson, ISTE Student Chapter

 

Invited Talks
  1. Two days Hands-on Session on Deep Learning and Computer Vision in the FDP held at Adi Shankara Institute of Engineering and Technology during 02.02.2023 – 03.02.2023.
  2. Session on High Performance Computing in the FDP on Emerging Trends in Information Technology held at Toc H Institute of Science & Technology on 03-07-2018.
Courses Taught
  • Theory of Computation and Compiler Design
  • Formal Languages and Automata
  • Deep Learning
  • Computational Fundamentals of Machine Learning
  • Internet Programming
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