Faculty

Shilpa Mahajan is an Assistant Professor in the School of Engineering and Technology. She has completed her PhD from National Institute of Technology Jalandhar, Punjab in Computer Science and Engineering . She has an experience of about 8.5 years in academics and research. Her major area of interest is Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision and Pattern Recognition. Prior teaching at BML, she was associated with NIT Jalandhar as Guest faculty. She has published and presented her research in many peer reviewed journals and international conferences.

• Graduation In: B. Tech in Computer science and Engineering
• Graduation From: Himachal Pradesh University, Shimla
• Graduation Year: 2014

• Post Graduation In: M. Tech in Computer science and Engineering
• Post Graduation From: Himachal Pradesh Technical University, Hamirpur (Gold Medallist)
• Post Graduation Year: 2016

• Doctorate In: PhD in Computer science and Engineering
• Doctorate From: National Institute of Technology, Jalandhar, Punjab

• Shilpa Mahajan and Rajneesh Rani, “Text detection and localization in scene images: a broad review,” Artificial Intelligence Review, Springer, 2021, (IF-12.0 (SCI)).
• Shilpa Mahajan and Rajneesh Rani, “Word level Script Identification using CNN Enhancement,” ACM Transactions in Asian Low Resource Language and Information Processing, ACM, 2021, (IF-2.0 (SCIE)).
• Shilpa Mahajan and Rajneesh Rani, Karan Trehan, “DELIGHT-Net: DEep and LIGHTweight Network to Segment Indian Text at Word Level from Wild Scenic Images,” International Journal of Multimedia Information Retrieval, Springer, 2021, (IF-5.6 (SCIE)).
• Shilpa Mahajan and Rajneesh Rani, Aman Kamboj, “A Deep learning-based modified-EAST scene text detector: insights from a novel multiscript dataset,” International Journal of Document Analysis and Recognition, Springer, 2024, (IF-2.4 (SCIE)).
• Shilpa Mahajan, Rajneesh Rani, Sachin Kumar and Saurabh Shastri, “LiteCovidNet: A lightweight deep neural network model for detection of COVID-19 using X-ray images,” International Journal of Imaging Systems and Technology, Wiley, 2022, (IF-2.1 (SCIE)).
• Shilpa Mahajan and Rajneesh Rani, Shefali Arora, Vipan Verma, “Enhancing facial expression recognition through generative adversarial networks-based augmentation,” International Journal of System Assurance Engineering and Management, Springer, 2023, (IF-2.0 (ESCI)).
• Harpreet Singh, Rajneesh Rani, Shilpa Mahajan, “Detection and Classification of Citrus Leaf Disease Using Hybrid Features,” Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, Book Series, Springer, 2020, (SCOPUS Indexed).
• Shilpa Mahajan and Rajneesh Rani, “A Decade on Script Identification from Natural Images/Videos: A Review,” International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT), IEEE, 2019.
• Shilpa Mahajan and Rajneesh Rani, “Text Extraction from Indian and Non-Indian Natural Scene Images: A Review,” First International Conference on Secure Cyber Computing and Communication (ICSCCC), IEEE, 2018.
• Shilpa Mahajan, Pushpender Kumar Dhiman, “Clustering in Wireless Sensor Networks: A Review,” International Journal of Advanced Research in Computer Science, 2016.

• Artificial Intelligence
• Deep Learning
• Digital Image Processing
• Operating System
• Machine Learning
• Software Engineering