Dr. Barsha Abhisheka

Dr. Barsha Abhisheka

Assistant Professor

Profile Summary

Dr. Barsha Abhisheka is an Assistant Professor in the School of Computer Science at UPES, specializing in Machine Learning, Deep Learning, Medical Image Analysis, and Computer Vision.

She earned her Ph.D. from NIT Silchar, focusing on intelligent systems for early breast cancer detection using ultrasound imaging and advanced AI techniques.

Her work addresses challenges such as feature extraction, class imbalance, and model optimization, contributing to improved healthcare diagnostics through AI.

Work Experience

Dr. Barsha Abhisheka has served as an Assistant Professor at institutions including Buddha Institute of Technology, Gaya, and School of Aeronautics, Neemrana.

She joined UPES in June 2025 and continues to contribute to teaching, research, and academic development in Computer Science.

Educational Qualification

Ph.D., National Institute of Technology Silchar.

Research Interests

Deep Learning, Machine Learning, Medical Image Processing, Computer Vision, Adversarial Networks.

Teaching Philosophy

Dr. Barsha Abhisheka emphasizes strong conceptual understanding supported by practical implementation and real-world applications.

She encourages analytical thinking, experimentation, and innovation to help students build confidence and technical competence.

Courses Taught

Programming with C, Data Structure, Operating System, Object-Oriented Programming, Algorithms.

Awards and Achievements

Details to be updated.

Scholarly Activities

Dr. Barsha Abhisheka has published research in reputed journals such as Archives of Computational Methods in Engineering, Multimedia Tools and Applications, Neural Computing and Applications, and Journal of Imaging Informatics in Medicine.

Her work focuses on breast cancer detection using ultrasound imaging, incorporating deep learning, feature fusion, and ensemble methods.

She has presented at IEEE conferences including UPCON, CISCT, and CINE, contributing to advancements in AI-based healthcare systems.