Dr. Shivi Sharma is a passionate educator and researcher with more than a decade of experience in teaching, training, and working on projects related to Artificial Intelligence, Machine Learning, and Data Science. She holds a Ph.D. in Computer Science and Engineering, with her work focusing on applying AI in areas like healthcare, agriculture, education, and cybersecurity.

Over the years, she has guided many B.Tech, M.Tech, and Ph.D. students in developing real-world AI-based solutions. Her areas of interest include large language models, NLP, reinforcement learning, and predictive analytics.She has published many research papers in SCI and Scopus-indexed national and international journals and conferences. Along with academic writing, she has contributed book chapters and reviewed papers for reputed journals.

Dr. Sharma also holds several patents in AI-driven technologies, including smart crop monitoring, AI-powered healthcare devices, and intelligent systems for automation and safety. She believes in hands-on learning and often encourages students to build practical and socially relevant projects.

She has been invited as a guest speaker and resource person at various institutions and conferences, including IIT Bombay, DIET,SCERT, SAMETI and state-level academic forums. She has delivered expert sessions for teachers, researchers, and professionals on topics like AI in education, ethical use of technology, and AI for social good.

Dr. Sharma is actively involved in academic leadership, curriculum design, and student innovation programs. She enjoys creating a learning environment that blends theory with practice, and always aims to make complex AI concepts simple and accessible. Her focus remains on encouraging responsible use of AI and inspiring young minds to solve real-world challenges through technology.

"कर्मण्येवाधिकारस्ते मा फलेषु कदाचन। मा कर्मफलहेतुर्भूर्मा ते सङ्गोऽस्त्वकर्मणि॥ Faith !! Follow !! Focus"

• Focused on Artificial Intelligence, Machine Learning, and Data Science applications in healthcare, education, agriculture, and cybersecurity.
• Specialized in Large Language Models (LLMs), Natural Language Processing (NLP), and Reinforcement Learning.
• Published many research papers in SCI and Scopus-indexed journals and international conferences.
• Contributed multiple book chapters in the field of AI and Information Systems.
• Filed and granted several national and international patents in AI-powered healthcare, smart agriculture, and intelligent automation.
• Worked on real-time AI applications such as chatbots, predictive analytics, and driver behavior monitoring systems.
• Reviewer for reputed journals from Springer, Elsevier, and IEEE.
• Guided Ph.D., M.Tech, and undergraduate students in AIML research projects.
• Active collaborator on interdisciplinary and industry-linked AI research initiatives.
• Research Interests
• Artificial Intelligence & Machine Learning
• Large Language Models (LLMs) and Generative AI
• Natural Language Processing (NLP)
• Retrieval-Augmented Generation (RAG)
• Reinforcement Learning and Intelligent Agent Systems
• Predictive Analytics and Deep Learning
• AI in Healthcare, Education, and Agriculture
• Emotion Recognition and Human-Centered AI
• Smart Systems and IoT-based AI Solutions
• Big Data Analytics and Cloud Computing"

• Best Outstanding Student Award (2016)

• Best M.Tech Thesis Award (2018)

• Er. J.P. Memorial Award

• State-Level Declamation Winner

• Hackathon Team Mentor – State Level