Mrs.Poi Tamrakar is a PhD candidate in Computer Science and Engineering with more than 12 years of academic, research, and professional experience in higher education. She is currently pursuing her doctoral research at MIT ADT University, focusing on advanced deep learning techniques for breast cancer prognosis. She completed her M.E. in Computer Engineering from S.G.S.I.T.S. with an excellent academic record and also holds a PG Diploma in System Software Development from C-DAC.

Professionally, she is serving as an Assistant Professor at Dr. D. Y. Patil School of Science & Technology, where she teaches Artificial Intelligence, Data Science, Database Management Systems, and Software Engineering. She has also contributed to several reputed engineering institutions in Pune and Bhopal and has actively guided undergraduate research projects, curriculum planning, academic coordination, and institutional quality initiatives.

Research Contributions & Expertise

Mrs. Tamrakar’s research primarily focuses on Artificial Intelligence-driven healthcare applications, especially breast cancer prognosis using deep learning and survival analysis. Her doctoral work integrates multi-omics datasets such as METABRIC and TCGA-BRCA with hybrid neural network models and explainable AI approaches including SHAP analysis to improve clinical decision-making systems.

Her broader research interests include:

• Deep Learning and Machine Learning
• Survival Analysis in Healthcare
• Explainable AI (XAI)
• Medical IoT Systems
• Conversational AI
• Reinforcement Learning
• Multi-Omics Data Integration

She has authored 12 Scopus-indexed research publications in reputed international journals and conference proceedings, including publications in IEEE, CCIS, LNNS, and AIP Conference Proceedings. She is also the author of the book Deep Learning and AI Basics and serves as a reviewer for reputed journals and international conferences.

Patents, Innovation & Technical Expertise

Mrs. Tamrakar has demonstrated strong innovation and research translation through patents, copyrights, and funded research initiatives. Her contributions include:

• UK Design Patent for an IoT-enabled health monitoring device
• Indian patents in healthcare monitoring and AI-based seizure detection
• Multiple copyrights related to computing and AI technologies

Her technical expertise includes Python, Java, TensorFlow, Scikit-learn, Tableau, Power BI, and healthcare AI frameworks. She actively works on AI-enabled clinical decision support systems and healthcare analytics.

Academic Leadership & Professional Service

Beyond research and teaching, she has played significant leadership roles in academic administration and innovation activities. She has served as:

• SPOC for KAVACH National Hackathon
• Coordinator for Smart India Hackathon
• Organizer of CODEVENTURE Hackathon
• IQAC and Academic Coordinator
• International Cell and MOU Coordinator
• Training & Placement Coordinator

She has also conducted Faculty Development Programs (FDPs), workshops, and seminars on AI tools, ICT-enabled pedagogy, research methodology, and career development.

Achievements & Recognition

Her academic excellence and research potential have been recognized through:

• ₹5 Lakhs Seed Funding for AI-based healthcare research
• GATE Qualification
• Invitations as Resource Person for FDPs and workshops
• Contributions to institutional development and student mentoring

Eligibility for Women Researcher Award

Mrs. Poi Tamrakar is highly eligible for the Women Researcher Award under Scientific Laurels due to her outstanding contributions to Artificial Intelligence research in healthcare, sustained academic excellence, innovation-driven research output, and active involvement in mentoring and academic leadership. Her impactful work in breast cancer prognosis using deep learning and explainable AI demonstrates significant societal and scientific relevance. With Scopus-indexed publications, patents, funded projects, technical expertise, and dedication toward empowering students and advancing AI-based healthcare solutions, she exemplifies the qualities of an accomplished woman researcher deserving of international recognition.