Prof. Sukanya G - Natural Language Processing in Legal domain - Best Researcher Award 🏆
Vellore Institute of Technology Chennai - India
Professional Profiles
Early Academic Pursuits
She embarked on her academic journey with a Bachelor of Engineering in Computer Science and Engineering from Arulmigu Meenakshi Amman College of Engineering, where she demonstrated exceptional dedication and achieved an aggregate of 79.22%. Her thirst for knowledge led her to pursue a Master of Engineering in Computer Science & Engineering from Sree Sastha Institute of Engineering and Technology, where she graduated with an outstanding aggregate of 83%, earning the distinction of "Ist Class with distinction."
Professional Endeavors
Her professional journey is marked by a series of impactful roles in academia and research. She commenced her career as a Programmer Trainee at Cyber Globe of India, where she laid the foundation for her technical expertise. Subsequently, she transitioned into academia, serving as an Assistant Professor at esteemed institutions such as Alpha College of Engineering and Sree Sastha Institute of Engineering and Technology.
Contributions and Research Focus in Natural Language Processing in Legal domain
Her primary research focus lies at the intersection of Natural Language Processing (NLP) and the legal domain. Her research endeavors have centered on areas such as legal text analysis, law document processing, NLP applications in law, and legal document automation. Her pioneering work aims to harness the power of Deep Learning techniques to revolutionize the way legal information is processed and interpreted. Natural Language Processing (NLP) in the legal domain refers to the application of computational techniques to understand, interpret, and analyze legal text and documents. This interdisciplinary field combines principles from linguistics, computer science, and artificial intelligence to automate various tasks associated with handling legal information. NLP technologies enable legal professionals and organizations to efficiently process vast amounts of legal text, including contracts, statutes, case law, and regulatory documents.
Accolades and Recognition
Her contributions to the field of NLP in the legal domain have been widely recognized and celebrated. She has authored several impactful research papers published in prestigious journals, including a notable publication in the SCOPUS indexed International Journal of Advanced Computer Science and Applications (IJACSA) and a research article in the SCIE indexed journal Data and Knowledge Engineering. In the legal domain, NLP is utilized for tasks such as legal text analysis, law document processing, legal document automation, and more. These applications involve tasks like extracting key information from legal documents, identifying relevant clauses or provisions, categorizing documents based on their content, summarizing lengthy texts, and even predicting outcomes based on precedent analysis.
Impact and Influence
Her research has made significant contributions to advancing the capabilities of NLP in the legal domain. Her work on attention models for legal judgment prediction systems and the development of modified hierarchical-attention network models have garnered attention for their innovative approaches and practical implications. Her research findings have the potential to reshape how legal professionals handle tasks such as contract analysis, legal compliance, and case law analysis.