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Ms. Debapriya Dash
Assistant Professor
Qualification
M.Tech (CSE)
About:
Debapriya Dash is an Assistant Professor in the Department of Computer Science and Engineering at ACE Engineering College, Hyderabad. She has completed her M.Tech in Computer Science and Engineering from Chaitanya Bharathi Institute of Technology (CBIT), Hyderabad, and her B.Tech from NIST, Berhampur, Odisha. Her areas of interest include Software Engineering, Machine Learning, DBMS. Her academic project work focuses on sentiment analysis and explainable recommendation systems. She is interested in learning new technologies and helping students understand computer science concepts through practical examples.
Educational Details
- M.Tech in Computer Science and Engineering, Chaitanya Bharathi Institute of Technology (CBIT), Gandipet, Hyderabad – May 2026
- B.Tech in Computer Science and Engineering, NIST, Berhampur, Odisha – March 2023
Professional Background
- Assistant Professor, Department of Computer Science and Engineering, ACE Engineering College, Ghatkesar – Oct 2026
Project Details
- Speech Recognition using Python
- Face Emoji Detection Using Machine Learning
- Fine-Grained Sentiment and Emotion Classification of Social Media Posts Using Machine Learning Background
- Enhancing User Trust and Content Discovery through Explainable Media Recommendations with Controlled Diversity
- An Experimental Hybrid Graph-VAE Framework for Explainable and Diversity-Aware Media Recommendation
Core Research Domains:
- Machine Learning
- Artificial Intelligence
- Recommender Systems
- Deep Learning
- Explainable AI
Research Focus:
Her research interests include explainable and diversified recommendation systems, graph-based recommendation techniques, and machine learning approaches for sentiment and emotion classification in social media text.
Journals and Conferences:
- “Enhancing User Trust and Content Discovery through Explainable Media Recommendations with Controlled Diversity,” presented at the 7th International Conference on Data Analytics and Management (ICDAM-2026), 12–14 June 2026.
- “An Experimental Hybrid Graph-VAE Framework for Explainable and Diversity-Aware Media Recommendation” submitted to the International Journal of Engineering Research & Technology (IJERT).
Certified Courses:
- NPTEL certificate on Big Data Computing
- MongoDB Architecture completion certificate Infosyspring board
FDPs & Workshops Attended:
- Workshop AI & ML for Societal Impact: Healthcare and Agricultural Applications
- An International One-Week Online Workshop on “Al & ML for Societal Impact: Healthcare and Agricultural Applications”
- Workshop on CRUD Operation using Node Js Skyy skill academy
- Attend Short Term Training Program On GenAL
Leadership & Extracurricular Activities:
- CAT Club Member, B.Tech: Actively participated in club activities and developed leadership, teamwork, communication, and organizational skills.