Admission open for SITEEE - Apply Now

Dr. Gagandeep Kaur

Assistant Professor

  •   Ph.D (CSE) | M.Tech (CSE)

Gagandeep Kaur completed her Ph.D. degree in Computer Science and engineering from LPU, Punjab, India. She has been engaged in research and teaching for more than 11 years. At present, she is working as an Assistant Professor in the CSE Department at Symbiosis Institute of Technology Nagpur, Symbiosis International (Deemed University) Pune, MH, India. She has presented more than 20 papers in International/National Journals/ Conferences and written some book chapters. Her research interests include Artificial Intelligence, Machine Learning, Deep Learning, and, Data Science.

  • Programming and Problem solving
  • Operating Systems
  • Programming in C
  • Specialization
    1. AI/ML
    2. Data Science
    3. Image Processing
  • Focus
    1. Machine Learning
    2. Deep Learning


No. Information
1 Gagandeep Kaur et al., “Intelligent Search Engine Tool for Querying Database System”, International Journal of Mathematical, Engineering and Management Sciences (In-Press).
2 Gagandeep Kaur at al., “Automatic Customer Review Summarization Using Deep Learning-based Hybrid Sentiment Analysis,” International Journal of Electrical and Computer Engineering (IJECE), April 2024.
3 Gagandeep Kaur et al., “Social Media in the Digital Age: A Comprehensive Review of Impacts, Challenges and Cybercrime,” Engineering Proceedings, March 2024.
4 Gagandeep Kaur et al. “A Comprehensive Review of Metaverse: Taxonomy, Impact, and the Hype around It,” Engineering Proceedings, March 2024.
5 Gagandeep Kaur, et al., “Predictive Modeling of Bitcoin Prices using Machine Learning Techniques,” International Journal of Intelligent Systems and Applications in Engineering (IJISAE), Feb 2024.
6 Lalit Shrotriya, Govinda Agarwal, Kushagra Mishra, Dr. Sashikala Mishra, Ranjeet Vasant Bidwe, Gagandeep Kaur, “Brain Tumor Detection using Advanced Deep Learning Implementations,” Traitement du Signal, October 2023.
7 Gagandeep Kaur and Amit Sharma, “A deep learning-based model using hybrid feature extraction approach for consumer sentiment analysis,” Journal of Big Data, Springer Nature, 2023.
8 Gagandeep Kaur and Amit Sharma, “HAS: Hybrid Analysis of Sentiments for the perspective of customer review summarization,” Journal of Ambient Intelligence and Humanized Computing, 2022.
9 Rutuja Patil, Gagandeep Kaur, Himank Jain, Ayush Tiwari, Soham Joshi, Keshav Rao and Amit Sharma, “Machine learning approach for phishing website detection: A literature survey,” Journal of Discrete Mathematical Sciences and Cryptography, 2022.
10 Shruti Maheshwari, Gagandeep Kaur, Ketan Kotecha, and Pramod Kumar Jain, “Bibliometric Survey on Supply Chain in Healthcare using Artificial Intelligence,” Library Philosophy and Practice, 2020.
11 Hemlata Shelar, Gagandeep Kaur, Neha Heda, and Poorva Agrawal, “Named Entity Recognition Approaches and their Comparison for Custom NER Model,” Science & Technology Libraries, Taylor and Francis, 2020.
12 Piyush Choudhary, Poorva Agrawal, and Gagandeep Kaur, “Review on SVM Based Method for Identification and Recognition of Faces by using Feature Distances”, International Journal of Scientific & Technology Research, 2020.


No. Information
1 Dhanraj Dhanraj, Arjun Sharma, Gagandeep Kaur, Sashikala Mishra, P. Naik and A. Singh, "Comparison of Different Machine Learning Algorithms for Predictive Maintenance," Proceedings of IEEE Conference-International Conference for Advancement in Technology (ICONAT), Goa, India, 2023.
2 Nishigandha Sharma and Gagandeep Kaur, “Comprehensive Review on Digital Image Forgery Detection Methods,” 1st International Conference on Recent Advances in Computing Sciences (RACS-2022), Punjab, India, 2022.
3 Gagandeep Kaur and Amit Sharma, "Comparison of Different Machine Learning Algorithms for Sentiment Analysis," Proceedings of IEEE Conference-International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), Erode, India, 2022.
4 Gagandeep Kaur and Amit Sharma, "AI/ML Sentiment Analysis Model for Medical Chatbot: A Review," 2022 Algorithms, Computing and Mathematics Conference (ACM), Chennai, India, 2022.
5 Gaurav, Gagandeep Kaur, and Poorva Agrawal, “An In-Depth Survey on Massive Open Online Course Outcome Prediction”, Proceedings of ICCCMLA, Springer, 2020.
  • User Charvi Kumar, Poorva Agrawal, Gagandeep Kaur, Suhashini Chaurasia, Sivaram Ponnusamy, "Exploring the Role of AI in Overcoming Women's Sexual and Reproductive Wellbeing Barriers" AI Tools and Applications for Women’s Safety, edited by Sivaram Ponnusamy, et al., IGI Global, Jan 2024, pp. 74-90.

  • Suhashini Chaurasia, Sumukh, Gagandeep Kaur, Shobhane P., Poorva Agrawal & Deepali Bhende, "Design of a SensorBased Door Opening and Closing System Using Arduino for Women's Safety" Wearable Devices, Surveillance Systems, and AI for Women's Wellbeing, edited by Sivaram Ponnusamy, et al., IGI Global, Jan 2024, pp. 74-90.

Application No. C.B.R No. Title Filed Date
202421016113 10936 Image Similarity Measurement with Local Transform Based Similarity Metric 7th March 2024
  • Certified from Nvidia DLI Fundamentals of Accelerated Computing with CUDA C/C++and accelerating CUDA C++ Applications with multiple GPUs
  • Attended many Faculty Development Programme and Workshops
  • Worked on Industry sanctioned projects in collaboration with the Institute
  • Reviewer of reputed journals: Springer Nature of Computer Sciences, Information Discovery and Delivery
  • Completed Red Hat System Administration and Python Programming Course
  • Completed NN and Deep Learning Coursera course
  • Completed 3D Modelling using Blender online course offered by IIT Bombay
  • Certified from IBM Lotus, IBM RSA and IBM TDS