Profile Summary

Prabhjot Kaur is currently working as an Assistant Professor in the Department of Computer Science and Engineering at CMR Institute of Technology. With 1.8 years of academic experience, she is dedicated to guiding and mentoring engineering students in core computer science subjects. Her interests lie in Artificial Intelligence, Machine Learning, and Deep Learning, and she actively contributes to academic development through teaching and research.

Education

• M.E. in Computer Science & Engineering with specialization in AI-ML from Chandigarh University.

• B. Tech in Computer Science & Engineering from Kalinga University.

Area of Interest

• Machine Learning

• Deep Learning

• Data Science

• GANs

• Blockchain

Work Experience

Before joining CMR Institute of Technology, Prabhjot Kaur served as an Assistant Professor at Chandigarh University, where she contributed to teaching and academic activities in the Department of Computer Science and Engineering. 

Research & Publications

• P. Kaur, M. Gupta, Rakesh Kumar and Ahmad J. Obaid, “A Critical Analysis of Parkinson’s Disease Based on Voice Signals”, 2024 International Conference on Computational Intelligence and Computing Applications (ICCICA), Samalkha, India, 2024, pp. 181-186, doi: 10.1109/ICCICA60014.2024.10585063 

• P. Kaur, M. Gupta, R. Kumar and A. J. Obaid, "A Novel Hybrid GAN-MLP Model for Parkinson's Disease Detection Based on Voice Signals," 2024 1st International Conference on Advances in Computing, Communication and Networking (ICAC2N), Greater Noida, India, 2024, pp. 91-95, doi: 10.1109/ICAC2N63387.2024.10895568. 

• D. Bharti, K. Priyanshi, P. Kaur, “Landmark Detection Using Convolutional Neural Network: A Review”, Sharma, H., Shrivastava, V., Tripathi, A.K., Wang, L. (eds) Communication and Intelligent Systems. ICCIS 2023. Lecture Notes in Networks and Systems, vol 968. Springer, Singapore 

• A. Jain, M. Joshi, P. Kaur, “Tokenizing Art Unpacking the Impact of Non-Fungible Tokens (NFTs) on Ownership Paradigms,” 2024 International Conference on Computational Intelligence and Computing Applications (ICCICA), Samalkha, India, 2024, pp.353–360, doi: 10.1109/ICCICA60014.2024.10585180. 

• P. K. Keyal, N. Chaube, P. Chaudhary, P. Chaurasiya, D. K. Mandal and P. Kaur, “Efficient Information Digest: Exploring AI-Driven PDF Summarization through Streamlit, Open API and LangChain”, 2024 IEEE International Conference on Communication, Computing and Signal Processing (IICCCS), 2024, Asansol, India, pp. 1-5, doi: 10.1109/IICCCS61609.2024.10763576. 

• K. Priyanshi, A. Yadav, D. Bharti, P. Kaur, “Employing Machine Learning for Analysis of Diabetes Progression and Prediction,”, International Conference on Innovative Trends in Electrical, Electronics & Bio-Technology Engineering, 2024, CRC Press. https://doi.org/10.1201/9781003606208 

• H. Chaudhary, S. Kaur, P. Sharma and P. Kaur, "A Unique Approach for Extraction of Images with 4 Amplification Factors Using SR -GAN," 2024 International Conference on Progressive Innovations in Intelligent Systems and Data Science (ICPIDS), Pattaya, Thailand, 2024, pp. 310-315, doi: 10.1109/ICPIDS65698.2024.00056. 

• J. Wadhwa, A. Suthar, Vidhika, D. Joon and P. Kaur, "Enhanced Weather Forecasting with Hybrid Model of K Means and DBSCAN," 2024 Second International Conference on Advanced Computing & Communication Technologies (ICACCTech), Sonipat, India, 2024, pp. 298-303, doi: 10.1109/ICACCTech65084.2024.00055.

• J. Wadhwa, A. Suthar, R. Kaur, D. Joon and P. Kaur, "Automatic Waste Segregation Using Sensors and Bolts," 2024 Second International Conference on Advanced Computing & Communication Technologies (ICACCTech), Sonipat, India, 2024, pp. 667-672, doi: 10.1109/ICACCTech65084.2024.00112.