Dr. Vijeta Sharma is a distinguished Artificial Intelligence researcher with over 14 years of experience in advanced AI applications. She has contributed to various projects under the Ministry of Health, Ministry of Defense, and Ministry of Electronics & IT, including the National Supercomputing Mission at C-DAC, Pune, Govt. of India. Currently, she serves as the Research Coordinator at the Educational Technology Research Laboratory of NTNU (Norwegian University of Science and Technology), where she spearheads innovation in educational technology through AI, Robotics, and high-performance computing. Dr. Sharma holds a Master’s Degree in M.Tech (Data Science) from Birla Institute of Technology and Science, Pilani, and a PhD in HPC-AI from Banaras Hindu University, Varanasi. She is recognized as an international speaker, AWSAR-2020 Awardee, and the inventor of the Scientist HPC- AI and Robotics. Her expertise encompasses Machine Learning, Deep Learning, Robotics, Supercomputing, GPGPU, CUDA, and Python programming. Dr. Sharma’s work is driven by a passion for bridging the gap between industry and academia, fostering collaboration, and preparing the next generation of innovators in AI and educational technology.
- Education:
- Completed her master’s degree in Data Science from Birla Institute of Science and Technology, India.
- Earned a PhD in Artificial Intelligence from Banaras Hindu University (BHU), India.
- Research Areas:
- Artificial Intelligence
- Computer Vision (Image & Video Processing)
- Human Action Recognition
- Deep Learning
- Large Vision Models (LVM)
- Robotics
- High-Performance Computing (HPC)
- Experience:
- Over 14 years of R&D experience in the industry.
- Worked on several projects for the Government of India, including the Ministry of Electronics and Information Technology, focusing on India’s PARAM series of supercomputers under the National Supercomputing Mission.
- Awards and Interests:
- Received India’s prestigious research award, ASWAR-2020, for her novel contributions.
- Keen interest in “AI in Education,” aligning with her Ph.D. work.