Adeep Hande
Scholar

Adeep Hande

Google Scholar ID: XvfdrGsAAAAJ
Comcast Applied AI
Natural language processingDeep learning
Citations & Impact
All-time
Citations
804
 
H-index
13
 
i10-index
14
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • - Multi-task learning in under-resourced Dravidian languages, Journal of Data, Information, and Management, 2022
  • - Modeling Homophobia and Transphobia detection using Data-Augmentation in a Multilingual Code-mixed Setting, International Journal of Information Management Data Insights, Accepted
  • - Do Images really do the Talking? Analysing the significance of Images in Tamil Troll meme classification, Advances in Computational Intelligence, Accepted
  • - Offensive language identification in low-resourced code-mixed dravidian languages using pseudo-labeling, Computer Speech and Language, Accepted
  • - The Best of both Worlds: Dual Channel Language modeling for Hope Speech Detection in low-resourced Kannada, Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion, ACL 2022
Research Experience
  • - Core Member, Global AI Hub (May 2021 - Present)
  • - Data Scientist Intern (Corporate Strategy--Innovations), Tata Communications (December 2021 - July 2022)
  • - Projects: AI-based Network Expansion Planning (March 2022 - July 2022)
  • - Projects: AI-Powered real-time Fraud Prevention as a Service (FPaaS) (December 2021 - February 2022)
  • - Research Intern, National University of Ireland Galway (July 2020 - Present)
  • - Developed a multi-task learning framework for Sentiment Analysis and Offensive Language Identification in Dravidian Languages
  • - Research Intern, Raaga Products Pvt ltd (May 2021 - July 2021)
  • - Developed a Deep Learning based architecture to detect diabetic retinopathy
Education
  • - Indiana University Bloomington: Master of Science (M.S), Data Science (August 2022 - Present)
  • - Indian Institute of Information Technology Tiruchirappalli: Bachelor of Technology (BTech), Computer Science and Engineering (August 2018 - May 2022)
  • - Instituto Superior Técnico (IST), Lisbon, Portugal: Summer School, Natural Language Processing (July 8 - 15, 2021)
  • - Indian Institute of Technology Kharagpur: Winter School, Fairness, Accountability, Accuracy, and Transparency in AI (FAccT) (January 15 - 22, 2021)
Background
  • Incoming graduate student in Data Science at Luddy School of Informatics, Computing, and Engineering at Indiana University Bloomington. Research interests include Network Analysis, Semantic Parsing, Speech Processing, and Natural Language Processing. Interned as a Data Scientist at Tata Communications' corporate strategy team to build an AI-powered Network Expansion Planning tool. Deeply fascinated by NLP and its applications in multimodal learning and related interdisciplinary fields.
Co-authors
0 total
Co-authors: 0 (list not available)