Dr Shaveta Arora holds more than 23 years of academic, administrative and research experience at undergraduate, post-graduate and doctoral level. Prior to joining The NorthCap University in July 2007, she held teaching positions at prestigious colleges in Haryana and Mumbai. Dr. Arora completed her B.Tech from Kurukshetra University, M.Tech from Panjab Technical University, and earned her PhD from The NorthCap University under the supervision of professor Hanmandlu from IIT Delhi.

She has mentored over 100 B.Tech projects, supervised10 M.Tech dissertations, and guided 2 PhD thesis. Currently, she is supervising 6 PhD scholars. Her research interests include computer vision, image processing, fuzzy sets, machine learning, and deep learning, with a particular focus on applications in solar photovoltaics, healthcare and agriculture sectors. She has published more than 70 research papers in esteemed peer-reviewed journals and conferences. Additionally, she has been awarded grants for 4 patents, further enhancing her contribution to both academia and industry. She serves as a reviewer for prestigious international conferences and journals, including IEEE Transactions on Fuzzy Systems, IEEE Transactions on Instrumentation and Measurements, International Journal of Electronics and Communications, IET Image Processing, IET Computer Vision, Knowledge-Based Systems, Journal of Digital Imaging, and Evolving Systems.

Committed to staying at the forefront of technological advancements, Dr. Arora actively participates in workshops on emerging technologies. She holds certifications in Design Thinking, Data Analytics, Machine Learning, Deep Learning, and Data Science from NPTEL, as well as certifications in cloud computing and Introduction to Generative AI from AWS demonstrating her expertise in cutting-edge fields. She also serves as the coordinator for the Oracle Academy partnership with the University. Her exceptional teaching contributions were recognized with the prestigious Outstanding Teacher Award on Teachers’ Day 2024 at The University.

Area of Specialization
Image Processing and Computer Vision, Fuzzy Sets and Systems, Machine learning and Deep Learning, Soft Computing and Optimization Techniques