Research and Development of artificial intelligence methods for Precision Medicine.

◦ Quality Estimation for Machine Translation: - Objective: To develop methods for analyzing the quality of deep learning-based machine translation systems. (Ongoing)◦ Abbreviation and Acronym Identification: - Objective 1: To develop a method for efficient acronym detection for scientific data understanding. - Objective 2: To create an abbreviation detection dataset for scientific documents. ◦ Paper 1: Work done was published in SDU@AAAI 2022. ◦ Paper 2: Work done was published in LREC 2022

Center for Technology Innovation - Artificial Intelligence, Research & Development GroupResearch Theme: Explainable Artificial Intelligence.◦ Harmful Data Detection: - Objective: To develop a model for Harmful Data Detection from small data towards building trustworthy AI.◦ Uncertainty Quantification: - Objective 1: To develop a model agnostic method for estimation of model and data uncertainty. - Objective 2: To develop a method for Uncertainty-aware experiment design.◦ Query-Rule Compliance Check: - Objective: To develop a system for rule compliance check of the given query for efficient data utilization. - Award: Strategic Invention award at R&D Department level.

◦ Served as a reviewer on the Scientific Committee for the 13th International Conference on Language Resources and Evaluation (LREC).◦ Topics: Information Extraction and Information Retrieval (including NER, QA, Text Mining, Document Classifi-cation, Text Categorisation).

One of the two Lead Instructors for the course responsible for Certified Software Foundation Course by E-Yantra, IIT Bombay. https://www.mooc.e-yantra.org/sfc_intro◦ Planning and Development of curriculum (lectures, assignments) for a 6-week “Software Foundation Lab” MOOC.◦ The course has been taken by students and professionals from Colleges, Schools, and organizations across India.

Research Theme(s):◦ Explainable AI: - Objective: To model causal reasoning in natural languages using Knowledge Graphs and Deep Learning techniques with applications in Health Care and Aerospace Industry.◦ Cognitive NLP: - Objective 1: To investigate if cognitive features can aid the task of cognate detection. - Objective 2: To develop method for alleviating the need for collection of gaze features. - Paper: - Work done was published in EACL 2021. Best Long Paper Award (Honourable Mention).

Teaching Assistant to Prof. Pushpak Bhattacharyya (https://www.cse.iitb.ac.in/~pb/) CS626: Speech and Natural Language Processing and the WebDepartment of Computer Science and EngineeringIndian Institute of Technology Bombay

https://shala2020.github.io/MastAI ki paathSHALAHave fun Staying Home And Learning AIA course on Data Science, Machine Learning, and Deep LearningSummer 2020During the months of social distancing and lockdown(due to COVID), a lot of college students were not able to attend classes or go for internships where they could be learning practical tech skills. We, a team of volunteers comprising professors, industry professionals, and students working in data science, machine learning, and deep learning got together to offer a course to students of engineering colleges on these topics. There was no fee for this course, and this was our way of contributing to the Indian and world community in these trying times.